77 results on '"Norheim F"'
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2. The exercise-regulated myokine chitinase-3-like protein 1 stimulates human myocyte proliferation
- Author
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Görgens, S. W., Hjorth, M., Eckardt, K., Wichert, S., Norheim, F., Holen, T., Lee, S., Langleite, T., Birkeland, K. I., Stadheim, H. K., Kolnes, K. J., Tangen, D. S., Kolnes, A. J., Jensen, J., Drevon, C. A., and Eckel, J.
- Published
- 2016
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3. The effect of strength training volume on satellite cells, myogenic regulatory factors, and growth factors
- Author
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Hanssen, K. E., Kvamme, N. H., Nilsen, T. S., Rnnestad, B., Ambjrnsen, I. K., Norheim, F., Kadi, F., Hallèn, J., Drevon, C. A., and Raastad, T.
- Published
- 2013
- Full Text
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4. Measuring performance on the Healthcare Access and Quality Index for 195 countries and territories and selected subnational locations: a systematic analysis from the Global Burden of Disease Study 2016
- Author
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Nancy, Fullman, Jamal, Yearwood, Solomon, M, Abay, Cristiana, Abbafati, Foad, Abd-Allah, Jemal, Abdela, Ahmed, Abdelalim, Zegeye, Abebe, Teshome, Abuka, Abebo, Victor, Aboyans, Haftom, Niguse, Abraha, Daisy, M, X, Abreu, Laith, Abu-Raddad, J, Akilew, Awoke, Adane, Rufus, Adesoji, Adedoyin, Olatunji, Adetokunboh, Tara, Ballav, Adhikari, Mohsen, Afarideh, Ashkan, Afshin, Gina, Agarwal, Dominic, Agius, Anurag, Agrawal, Sutapa, Agrawal, Aliasghar, Ahmad, Kiadaliri, Miloud, Taki, Eddine, Aichour, Mohammed, Akibu, Rufus, Olusola, Akinyemi, Tomi, Akinyemiju, F, Nadia, Akseer, Faris, Hasan, Lami, Al, Fares, Alahdab, Ziyad, Al-Aly, Khurshid, Alam, Tahiya, Alam, Deena, Alasfoor, Mohammed, I, Albittar, Kefyalew, Addis, Alene, Ayman, Al-Eyadhy, Syed, Danish, Ali, Mehran, Alijanzadeh, Syed, M, Aljunid, Ala’A, Alkerwi, François, Alla, Peter, Allebeck, Christine, Allen, Mahmoud, A, Alomari, Rajaa, Al-Raddadi, Ubai, Alsharif, Khalid, A, Altirkawi, Nelson, Alvis-Guzman, Azmeraw, T, Amare, Kebede, Amenu, Walid, Ammar, Yaw, Ampem, Amoako, Nahla, Anber, Catalina, Liliana, Andrei, Sofia, Androudi, Carl, Abelardo, Antonio, T, Valdelaine, E, Araújo, M, Olatunde, Aremu, Johan, Ärnlöv, Artaman, Al, Krishna, Kumar, Aryal, Hamid, Asayesh, Ephrem, Tsegay, Asfaw, Solomon, Weldegebreal, Asgedom, Rana, Jawad, Asghar, Mengistu, Mitiku, Ashebir, Netsanet, Abera, Asseffa, Tesfay, Mehari, Atey, Sachin, R, Atre, Madhu, Atteraya, S, Leticia, Avila-Burgos, Euripide, Frinel, Arthur, G, Avokpaho, Ashish, Awasthi, Beatriz, Paulina, Ayala, Quintanilla, Animut, Alebel, Ayalew, Henok, Tadesse, Ayele, Rakesh, Ayer, Tambe, Betrand, Ayuk, Peter, Azzopardi, Natasha, Azzopardi-Muscat, Tesleem, Kayode, Babalola, Hamid, Badali, Alaa, Badawi, Maciej, Banach, Amitava, Banerjee, Amrit, Banstola, Ryan, M, Barber, Miguel, Barboza, A, Suzanne, L, Barker-Collo, Till, Bärnighausen, Simon, Barquera, Lope, H, Barrero, Quique, Bassat, Sanjay, Basu, Bernhard, T, Baune, Shahrzad, Bazargan-Hejazi, Neeraj, Bedi, Ettore, 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Kahsay, Rizwan, Kalani, Chittaranjan, Kar, Marina, Karanikolos, André, Karch, Corine, Kakizi, Karema, Seyed, Karimi, M, Amir, Kasaeian, Dessalegn, Haile, Kassa, Getachew, Mullu, Kassa, Tesfaye, Dessale, Kassa, Nicholas, Kassebaum, J, Srinivasa, Vittal, Katikireddi, Anil, Kaul, Norito, Kawakami, Konstantin, Kazanjan, Seifu, Kebede, Peter, Njenga, Keiyoro, Grant, Rodgers, Kemp, Andre, Pascal, Kengne, Maia, Kereselidze, Ezra, Belay, Ketema, Yousef, Saleh, Khader, Morteza, Abdullatif, Khafaie, Alireza, Khajavi, Ibrahim, A, Khalil, Ejaz, Ahmad, Khan, Gulfaraz, Khan, Nuruzzaman, Md, Khan, Muhammad, Ali, Khan, Mukti, Nath, Khanal, Young-Ho, Khang, Mona, M, Khater, Abdullah, Tawfih, Abdullah, Khoja, Ardeshir, Khosravi, Jagdish, Khubchandani, Getiye, Dejenu, Kibret, Daniel, Ngari, Kiirithio, Daniel, Kim, Yun, Jin, Kim, Ruth, Kimokoti, W, Yohannes, Kinfu, Sanjay, Kinra, Adnan, Kisa, Niranjan, Kissoon, Sonali, Kochhar, Yoshihiro, Kokubo, Jacek, A, Kopec, Soewarta, Kosen, Parvaiz, A, Koul, 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Ruxandra, Irina, Negoi, Charles, Newton, R, Josephine, Wanjiku, Ngunjiri, Grant, Nguyen, Long, Nguyen, Trang, Huyen, Nguyen, Emma, Nichols, Dina, Nur, Anggraini, Ningrum, Ellen, Nolte, Vuong, Minh, Nong, Ole, Norheim, F, Norrving, Bo, Jean, Jacques, Noubiap, N, Alypio, Nyandwi, Carla, Makhlouf, Obermeyer, Richard, Ofori-Asenso, Felix, Akpojene, Ogbo, In-Hwan, Oh, Olanrewaju, Oladimeji, Andrew, Toyin, Olagunju, Tinuke, Oluwasefunmi, Olagunju, Pedro, R, Olivares, Patricia, Pereira, Vasconcelos, Oliveira, De, Helen, E, Olsen, Bolajoko, Olubukunola, Olusanya, Jacob, Olusegun, Olusanya, Kanyin, Ong, John, Nelson, Opio, Eyal, Oren, Doris, V, Ortega-Altamirano, Alberto, Ortiz, Raziye, Ozdemir, Mahesh, Pa, Amanda, W, Pain, Marcos, Roberto, Tovani, Palone, Adrian, Pana, Songhomitra, Panda-Jonas, Jeyaraj, D, Pandian, Eun-Kee, Park, Hadi, Parsian, Tejas, Patel, Sanghamitra, Pati, Snehal, T, Patil, Ajay, Patle, George, C, Patton, Vishnupriya, Rao, Paturi, Deepak, Paudel, Marcel, De, Moares, Pedroso, Sandra, P, Pedroza, David, Pereira, M, Norberto, Perico, Hannah, Peterson, Max, Petzold, Niloofar, Peykari, Michael, Robert, Phillips, Frédéric, Piel, B, David, M, Pigott, Julian, David, Pillay, Michael, A, Piradov, Suzanne, Polinder, Constance, D, Pond, Maarten, Postma, J, Farshad, Pourmalek, Swayam, Prakash, Prakash, V, Narayan, Prasad, Noela, Marie, Prasad, Caroline, Purcell, Mostafa, Qorbani, Hedley, Knewjen, Quintana, Amir, Radfar, Anwar, Rafay, Alireza, Rafiei, Kazem, Rahimi, Afarin, Rahimi-Movaghar, Vafa, Rahimi-Movaghar, Mahfuzar, Rahman, Muhammad, Aziz, Rahman, Sajjad, Rahman, Ur, Rajesh, Kumar, Rai, Sree, Bhushan, Raju, Usha, Ram, Saleem, M, Rana, Zane, Rankin, Davide, Rasella, David, Laith, Rawaf, Salman, Rawaf, Sarah, E, Ray, Christian, Aspacia, Razo-García, Priscilla, Reddy, Robert, C, Reiner, Cesar, Reis, Marissa, B, Reitsma, Giuseppe, Remuzzi, Andre, M, Renzaho, N, Serge, Resnikoff, Satar, Rezaei, Mohammad, Sadegh, Rezai, Antonio, Ribeiro, L, Maria, Jesus, Rios, Blancas, Juan, A, Rivera, Leonardo, Roever, Luca, Ronfani, Gholamreza, Roshandel, Ali, Rostami, Gregory, A, Roth, Dietrich, Rothenbacher, Ambuj, Roy, Nobhojit, Roy, George, Mugambage, Ruhago, Yogesh, Damodar, Sabde, Perminder, S, Sachdev, Nafis, Sadat, Mahdi, Safdarian, Saeid, Safiri, Rajesh, Sagar, Amirhossein, Sahebkar, Sahraian, Haniye, Sadat, Sajadi, Joseph, Salama, Payman, Salamati, Raphael, De, Freitas, Saldanha, Hamideh, Salimzadeh, Joshua, A, Salomon, Abdallah, Samy, M, Juan, Ramon, Sanabria, Parag, Sancheti, K, Maria, Dolores, Sanchez-Niño, Damian, Santomauro, Itamar, S, Santos, Milena, Santric, M, Milicevic, Abdur, Razzaque, Sarker, Nizal, Sarrafzadegan, Benn, Sartorius, Maheswar, Satpathy, Miloje, Savic, Monika, Sawhney, Sonia, Saxena, Mete, I, Saylan, Elke, Schaeffner, Josef, Schmidhuber, Maria, Inês, Schmidt, Ione, J, C, Schneider, Austin, Schumacher, E, Aletta, E, Schutte, David, Schwebel, C, Falk, Schwendicke, Mario, Sekerija, Sadaf, G, Sepanlou, Edson, Servan-Mori, E, Azadeh, Shafieesabet, Masood, Ali, Shaikh, Marina, Shakh-Nazarova, Mehran, Shams-Beyranvand, Heidar, Sharafi, Mahdi, Sharif-Alhoseini, Sheikh, Mohammed, Shariful, Islam, Meenakshi, Sharma, Rajesh, Sharma, Jun, She, Aziz, Sheikh, Mebrahtu, Teweldemedhin, Shfare, Peilin, Shi, Chloe, Shields, Mika, Shigematsu, Yukito, Shinohara, Rahman, Shiri, Reza, Shirkoohi, Ivy, Shiue, Mark, G, Shrime, Sharvari, Rahul, Shukla, Soraya, Siabani, Inga, Dora, Sigfusdottir, Donald, Silberberg, H, Diego, Augusto, Santos, Silva, João, Pedro, Silva, Dayane, Gabriele, Alves, Silveira, Jasvinder, Singh, A, Lavanya, Singh, Narinder, Pal, Singh, Virendra, Singh, Dhirendra, Narain, Sinha, Abiy, Hiruye, Sinke, Mekonnen, Sisay, Vegard, Skirbekk, Karen, Sliwa, Alison, Smith, Adauto, Martins, Soares, Filho, Badr, H, Sobaih, A, Melek, Somai, Samir, Soneji, Moslem, Soofi, Reed, J, Sorensen, D, Joan, B, Soriano, Ireneous, Soyiri, N, Luciano, A, Sposato, Chandrashekhar, Sreeramareddy, T, Vinay, Srinivasan, Jeffrey, D, Stanaway, Vasiliki, Stathopoulou, Nicholas, Steel, Dan, J, Stein, Mark, Andrew, Stokes, Lela, Sturua, Muawiyyah, Babale, Sufiyan, Rizwan, Abdulkader, Suliankatchi, Bruno, F, Sunguya, Patrick, Sur, J, Bryan, L, Sykes, P, Sylaja, N, Cassandra, E, Szoeke, I, Rafael, Tabarés-Seisdedos, Santosh, Kumar, Tadakamadla, Andualem, Henok, Tadesse, Getachew, Redae, Taffere, Nikhil, Tandon, Amare, Tariku, Tariku, Nuno, Taveira, Arash, Tehrani-Banihashemi, Girma, Temam, Shifa, Mohamad-Hani, Temsah, Abdullah, Sulieman, Terkawi, Azeb, Gebresilassie, Tesema, Dawit, Jember, Tesfaye, Belay, Tessema, Thakur, Js, Nihal, Thomas, Matthew, J, Thompson, Taavi, Tillmann, Quyen, G, Ruoyan, Tobe-Gai, Marcello, Tonelli, Roman, Topor-Madry, Fotis, Topouzis, Anna, Torre, Miguel, Tortajada, Bach, Xuan, Tran, Khanh, Bao, Tran, Avnish, Tripathi, Srikanth, Prasad, Tripathy, Christopher, Troeger, Thomas, Truelsen, Derrick, Tsoi, Lorainne, Tudor, Car, Kald, Beshir, Tuem, Stefanos, Tyrovolas, Uche, S, Uchendu, Kingsley, Nnanna, Ukwaja, Irfan, Ullah, Rachel, Updike, Olalekan, A, Uthman, Benjamin, Chudi, S, Uzochukwu, Pascual, Rubén, Valdez, Job, F, Van, M, Boven, Santosh, Varughese, Tommi, Vasankari, Narayanaswamy, Venketasubramanian, Francesco, S, Violante, Sergey, Vladimirov, K, Vasiliy, Victorovich, Vlassov, Stein, Emil, Vollset, Theo, Vos, Fasil, Wagnew, Yasir, Waheed, Mitchell, T, Wallin, Judd, Walson, L, Yafeng, Wang, Yuan-Pang, Wang, Molla, Mesele, Wassie, Marcia, Weaver, R, Elisabete, Weiderpass, Robert, G, Weintraub, Jordan, Weiss, Kidu, Gidey, Weldegwergs, Andrea, Werdecker, Eoin, T, West, Ronny, Westerman, Richard, G, White, Harvey, Whiteford, A, Justyna, Widecka, Andrea, Sylvia, Winkler, Charles, Shey, Wiysonge, Charles, D, Wolfe, A, Yohanes, Ayele, Wondimkun, Abdulhalik, Workicho, Grant, M, Wyper, A, Denis, Xavier, Gelin, Xu, Lijing, L, Yan, Yuichiro, Yano, Mehdi, Yaseri, Nigus, Bililign, Yimer, Peng, Yin, Paul, Yip, Biruck, Desalegn, Yirsaw, Naohiro, Yonemoto, Gerald, Yonga, Seok-Jun, Yoon, Marcel, Yotebieng, Mustafa, Z, Younis, Chuanhua, Yu, Vesna, Zadnik, Zoubida, Zaidi, Maysaa, El, Sayed, Zaki, Sojib, Bin, Zaman, Mohammad, Zamani, Zerihun, Menlkalew, Zenebe, Maigeng, Zhou, Jun, Zhu, Stephanie, R, Zimsen, M, Ben, Zipkin, Sanjay, Zodpey, Liesl, Joanna, Zuhlke, Christopher, J, L, Murray, Rafael, Lozano., Fullman, N, Yearwood, J, Abay, S, Abbafati, C, Abd-Allah, F, Abdela, J, Abdelalim, A, Abebe, Z, Abebo, T, Aboyans, V, Abraha, H, Abreu, D, Abu-Raddad, L, Adane, A, Adedoyin, R, Adetokunboh, O, Adhikari, T, Afarideh, M, Afshin, A, Agarwal, G, Agius, D, Agrawal, A, Agrawal, S, Ahmad Kiadaliri, A, Aichour, M, Akibu, M, Akinyemi, R, Akinyemiju, T, Akseer, N, Al Lami, F, Alahdab, F, Al-Aly, Z, Alam, K, Alam, T, Alasfoor, D, Albittar, M, Alene, K, Al-Eyadhy, A, Ali, S, Alijanzadeh, M, Aljunid, S, Alkerwi, A, Alla, F, Allebeck, P, Allen, C, Alomari, M, Al-Raddadi, R, Alsharif, U, Altirkawi, K, Alvis-Guzman, N, Amare, A, Amenu, K, Ammar, W, Amoako, Y, Anber, N, Andrei, C, 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Ray, Dos Santos, Kadine Priscila Bender, Doyle, Kerrie E., Driscoll, Tim R., Dubey, Manisha, Dubljanin, Eleonora, Duncan, Bruce Bartholow, Echko, Michelle, Edessa, Dumessa, Edvardsson, David, Ehrlich, Joshua R., Eldrenkamp, Erika, El-Khatib, Ziad, Endres, Matthia, Endries, Aman Yesuf, Eshrati, Babak, Eskandarieh, Sharareh, Esteghamati, Alireza, Fakhar, Mahdi, Farag, Tamer, Faramarzi, Mahbobeh, Faraon, Emerito Jose Aquino, Faro, André, Farzadfar, Farshad, Fatusi, Adesegun, Fazeli, Mir Sohail, Feigin, Valery L., Feigl, Andrea B., Fentahun, Netsanet, Fereshtehnejad, Seyed-Mohammad, Fernandes, Eduarda, Fernandes, João C., Fijabi, Daniel Obadare, Filip, Irina, Fischer, Florian, Fitzmaurice, Christina, Flaxman, Abraham D., Flor, Luisa Sorio, Foigt, Nataliya, Foreman, Kyle J., Frostad, Joseph J., Fürst, Thoma, Futran, Neal D., Gakidou, Emmanuela, Gallus, Silvano, Gambashidze, Ketevan, Gamkrelidze, Amiran, Ganji, Morsaleh, Gebre, Abadi Kahsu, Gebrehiwot, Tsegaye Tewelde, Gebremedhin, Amanuel Tesfay, Gelaw, Yalemzewod Assefa, Geleijnse, Johanna M., Geremew, Demeke, Gething, Peter W., Ghadimi, Reza, Ghasemi Falavarjani, Khalil, Ghasemi-Kasman, Maryam, Gill, Paramjit Singh, Giref, Ababi Zergaw, Giroud, Maurice, Gishu, Melkamu Dedefo, Giussani, Giorgia, Godwin, William W., Goli, Sriniva, Gomez-Dantes, Hector, Gona, Philimon N., Goodridge, Amador, Gopalani, Sameer Vali, Goryakin, Yevgeniy, Goulart, Alessandra Carvalho, Grada, Ayman, Griswold, Max, Grosso, Giuseppe, Gugnani, Harish Chander, Guo, Yuming, Gupta, Rahul, Gupta, Rajeev, Gupta, Tanush, Gupta, Tarun, Gupta, Vipin, Haagsma, Juanita A., Hachinski, Vladimir, Hafezi-Nejad, Nima, Hailu, Gessessew Bugssa, Hamadeh, Randah Ribhi, Hamidi, Samer, Hankey, Graeme J., Harb, Hilda L., Harewood, Heather C., Harikrishnan, Sivadasanpillai, Haro, Josep Maria, Hassen, Hamid Yimam, Havmoeller, Rasmu, Hawley, Caitlin, Hay, Simon I., He, Jiawei, Hearps, Stephen J.C., Hegazy, Mohamed I., Heibati, Behzad, Heidari, Mohsen, Hendrie, Delia, Henry, Nathaniel J., Herrera Ballesteros, Victor Hugo, Herteliu, Claudiu, Hibstu, Desalegn Tsegaw, Hiluf, Molla Kahssay, Hoek, Hans W., Homaie Rad, Enayatollah, Horita, Nobuyuki, Hosgood, H. Dean, Hosseini, Mostafa, Hosseini, Seyed Reza, Hostiuc, Mihaela, Hostiuc, Sorin, Hoy, Damian G., Hsairi, Mohamed, Htet, Aung Soe, Hu, Guoqing, Huang, John J., Iburg, Kim Moesgaard, Idris, Fachmi, Igumbor, Ehimario Uche, Ikeda, Chad, Ileanu, Bogdan Vasile, Ilesanmi, Olayinka S., Innos, Kaire, Irvani, Seyed Sina Naghibi, Irvine, Caleb M.S., Islami, Farhad, Jacobs, Troy A., Jacobsen, Kathryn H., Jahanmehr, Nader, Jain, Rajesh, Jain, Sudhir Kumar, Jakovljevic, Mihajlo M., Jalu, Moti Tolera, Jamal, Amr A., Javanbakht, Mehdi, Jayatilleke, Achala Upendra, Jeemon, Panniyammakal, Jha, Ravi Prakash, Jha, Vivekanand, Józwiak, Jacek, John, Oommen, Johnson, Sarah Charlotte, Jonas, Jost B., Joshua, Vasna, Jürisson, Mikk, Kabir, Zubair, Kadel, Rajendra, Kahsay, Amaha, Kalani, Rizwan, Kar, Chittaranjan, Karanikolos, Marina, Karch, André, Karema, Corine Kakizi, Karimi, Seyed M., Kasaeian, Amir, Kassa, Dessalegn Haile, Kassa, Getachew Mullu, Kassa, Tesfaye Dessale, Kassebaum, Nicholas J., Katikireddi, Srinivasa Vittal, Kaul, Anil, Kawakami, Norito, Kazanjan, Konstantin, Kebede, Seifu, Keiyoro, Peter Njenga, Kemp, Grant Rodger, Kengne, Andre Pascal, Kereselidze, Maia, Ketema, Ezra Belay, Khader, Yousef Saleh, Khafaie, Morteza Abdullatif, Khajavi, Alireza, Khalil, Ibrahim A., Khan, Ejaz Ahmad, Khan, Gulfaraz, Khan, Md Nuruzzaman, Khan, Muhammad Ali, Khanal, Mukti Nath, Khang, Young-Ho, Khater, Mona M., Khoja, Abdullah Tawfih Abdullah, Khosravi, Ardeshir, Khubchandani, Jagdish, Kibret, Getiye Dejenu, Kiirithio, Daniel Ngari, Kim, Daniel, Kim, Yun Jin, Kimokoti, Ruth W., Kinfu, Yohanne, Kinra, Sanjay, Kisa, Adnan, Kissoon, Niranjan, Kochhar, Sonali, Kokubo, Yoshihiro, Kopec, Jacek A., Kosen, Soewarta, Koul, Parvaiz A., Koyanagi, Ai, Kravchenko, Michael, Krishan, Kewal, Krohn, Kristopher J., Kuate Defo, Barthelemy, Kumar, G. Anil, Kumar, Pushpendra, Kutz, Michael, Kuzin, Igor, Kyu, Hmwe H., Lad, Deepesh Pravinkumar, Lafranconi, Alessandra, Lal, Dharmesh Kumar, Lalloo, Ratilal, Lam, Hilton, Lan, Qing, Lang, Justin J., Lansingh, Van C., Lansky, Sonia, Larsson, Ander, Latifi, Arman, Lazarus, Jeffrey Victor, Leasher, Janet L., Lee, Paul H., Legesse, Yirga, Leigh, Jame, Leshargie, Cheru Tesema, Leta, Samson, Leung, Janni, Leung, Ricky, Levi, Miriam, Li, Yongmei, Liang, Juan, Liben, Misgan Legesse, Lim, Lee-Ling, Lim, Stephen S., Lind, Margaret, Linn, Shai, Listl, Stefan, Liu, Patrick Y., Liu, Shiwei, Lodha, Rakesh, Lopez, Alan D., Lorch, Scott A., Lorkowski, Stefan, Lotufo, Paulo A., Lucas, Timothy C.D., Lunevicius, Raimunda, Lurton, Grégoire, Lyons, Ronan A., Maalouf, Fadi, Macarayan, Erlyn Rachelle King, Mackay, Mark T., Maddison, Emilie R., Madotto, Fabiana, Magdy Abd El Razek, Hassan, Magdy Abd El Razek, Mohammed, Majdan, Marek, Majdzadeh, Reza, Majeed, Azeem, Malekzadeh, Reza, Malhotra, Rajesh, Malta, Deborah Carvalho, Mamun, Abdullah A., Manguerra, Helena, Manhertz, Treh, Mansournia, Mohammad Ali, Mantovani, Lorenzo G., Manyazewal, Tsegahun, Mapoma, Chabila C., Margono, Christopher, Martinez-Raga, Jose, Martins, Sheila Cristina Ourique, Martins-Melo, Francisco Rogerlândio, Martopullo, Ira, März, Winfried, Massenburg, Benjamin Ballard, Mathur, Manu Raj, Maulik, Pallab K., Mazidi, Mohsen, McAlinden, Colm, McGrath, John J., McKee, Martin, Mehata, Suresh, Mehrotra, Ravi, Mehta, Kala M., Mehta, Varshil, Meier, Toni, Mejia-Rodriguez, Fabiola, Meles, Kidanu Gebremariam, Melku, Mulugeta, Memiah, Peter, Memish, Ziad A., Mendoza, Walter, Mengiste, Degu Abate, Mengistu, Desalegn Tadese, Menota, Bereket Gebremichael, Mensah, George A., Meretoja, Atte, Meretoja, Tuomo J., Mezgebe, Haftay Berhane, Miazgowski, Tomasz, Micha, Renata, Milam, Robert, Millear, Anoushka, Miller, Ted R., Mini, G.K., Minnig, Shawn, Mirica, Andreea, Mirrakhimov, Erkin M., Misganaw, Awoke, Mitchell, Philip B., Mlashu, Fitsum Weldegebreal, Moazen, Babak, Mohammad, Karzan Abdulmuhsin, Mohammadibakhsh, Roghayeh, Mohammed, Ebrahim, Mohammed, Mohammed A., Mohammed, Shafiu, Mokdad, Ali H., Mola, Glen Liddell D., Molokhia, Mariam, Momeniha, Fatemeh, Monasta, Lorenzo, Montañez Hernandez, Julio Cesar, Moosazadeh, Mahmood, Moradi-Lakeh, Maziar, Moraga, Paula, Morawska, Lidia, Moreno Velasquez, Ilai, Mori, Rintaro, Morrison, Shane D., Moses, Mark, Mousavi, Seyyed Meysam, Mueller, Ulrich O., Murhekar, Manoj, Murthy, Gudlavalleti Venkata Satyanarayana, Murthy, Sriniva, Musa, Jonah, Musa, Kamarul Imran, Mustafa, Ghulam, Muthupandian, Saravanan, Nagata, Chie, Nagel, Gabriele, Naghavi, Mohsen, Naheed, Aliya, Naik, Gurudatta A., Naik, Nitish, Najafi, Farid, Naldi, Luigi, Nangia, Vinay, Nansseu, Jobert Richie Njingang, Narayan, K.M. Venkat, Nascimento, Bruno Ramo, Negoi, Ionut, Negoi, Ruxandra Irina, Newton, Charles R., Ngunjiri, Josephine Wanjiku, Nguyen, Grant, Nguyen, Long, Nguyen, Trang Huyen, Nichols, Emma, Ningrum, Dina Nur Anggraini, Nolte, Ellen, Nong, Vuong Minh, Norheim, Ole F., Norrving, Bo, Noubiap, Jean Jacques N., Nyandwi, Alypio, Obermeyer, Carla Makhlouf, Ofori-Asenso, Richard, Ogbo, Felix Akpojene, Oh, In-Hwan, Oladimeji, Olanrewaju, Olagunju, Andrew Toyin, Olagunju, Tinuke Oluwasefunmi, Olivares, Pedro R., De Oliveira, Patricia Pereira Vasconcelo, Olsen, Helen E., Olusanya, Bolajoko Olubukunola, Olusanya, Jacob Olusegun, Ong, Kanyin, Opio, John Nelson, Oren, Eyal, Ortega-Altamirano, Doris V., Ortiz, Alberto, Ozdemir, Raziye, Pa, Mahesh, Pain, Amanda W., Palone, Marcos Roberto Tovani, Pana, Adrian, Panda-Jonas, Songhomitra, Pandian, Jeyaraj D., Park, Eun-Kee, Parsian, Hadi, Patel, Teja, Pati, Sanghamitra, Patil, Snehal T., Patle, Ajay, Patton, George C., Paturi, Vishnupriya Rao, Paudel, Deepak, De Moares Pedroso, Marcel, Pedroza, Sandra P., Pereira, David M., Perico, Norberto, Peterson, Hannah, Petzold, Max, Peykari, Niloofar, Phillips, Michael Robert, Piel, Frédéric B., Pigott, David M., Pillay, Julian David, Piradov, Michael A., Polinder, Suzanne, Pond, Constance D., Postma, Maarten J., Pourmalek, Farshad, Prakash, Swayam, Prakash, V., Prasad, Narayan, Prasad, Noela Marie, Purcell, Caroline, Qorbani, Mostafa, Quintana, Hedley Knewjen, Radfar, Amir, Rafay, Anwar, Rafiei, Alireza, Rahimi, Kazem, Rahimi-Movaghar, Afarin, Rahimi-Movaghar, Vafa, Rahman, Mahfuzar, Rahman, Muhammad Aziz, Rahman, Sajjad Ur, Rai, Rajesh Kumar, Raju, Sree Bhushan, Ram, Usha, Rana, Saleem M., Rankin, Zane, Rasella, Davide, Rawaf, David Laith, Rawaf, Salman, Ray, Sarah E., Razo-García, Christian Aspacia, Reddy, Priscilla, Reiner, Robert C., Reis, Cesar, Reitsma, Marissa B., Remuzzi, Giuseppe, Renzaho, Andre M.N., Resnikoff, Serge, Rezaei, Satar, Rezai, Mohammad Sadegh, Ribeiro, Antonio L., Rios Blancas, Maria Jesu, Rivera, Juan A., Roever, Leonardo, Ronfani, Luca, Roshandel, Gholamreza, Rostami, Ali, Roth, Gregory A., Rothenbacher, Dietrich, Roy, Ambuj, Roy, Nobhojit, Ruhago, George Mugambage, Sabde, Yogesh Damodar, Sachdev, Perminder S., Sadat, Nafi, Safdarian, Mahdi, Safiri, Saeid, Sagar, Rajesh, Sahebkar, Amirhossein, Sahraian, Mohammad Ali, Sajadi, Haniye Sadat, Salama, Joseph, Salamati, Payman, De Freitas Saldanha, Raphael, Salimzadeh, Hamideh, Salomon, Joshua A., Samy, Abdallah M., Sanabria, Juan Ramon, Sancheti, Parag K., Sanchez-Niño, Maria Dolore, Santomauro, Damian, Santos, Itamar S., Santric Milicevic, Milena M., Sarker, Abdur Razzaque, Sarrafzadegan, Nizal, Sartorius, Benn, Satpathy, Maheswar, Savic, Miloje, Sawhney, Monika, Saxena, Sonia, Saylan, Mete I., Schaeffner, Elke, Schmidhuber, Josef, Schmidt, Maria Inê, Schneider, Ione J.C., Schumacher, Austin E., Schutte, Aletta E., Schwebel, David C., Schwendicke, Falk, Sekerija, Mario, Sepanlou, Sadaf G., Servan-Mori, Edson E., Shafieesabet, Azadeh, Shaikh, Masood Ali, Shakh-Nazarova, Marina, Shams-Beyranvand, Mehran, Sharafi, Heidar, Sharif-Alhoseini, Mahdi, Shariful Islam, Sheikh Mohammed, Sharma, Meenakshi, Sharma, Rajesh, She, Jun, Sheikh, Aziz, Shfare, Mebrahtu Teweldemedhin, Shi, Peilin, Shields, Chloe, Shigematsu, Mika, Shinohara, Yukito, Shiri, Rahman, Shirkoohi, Reza, Shiue, Ivy, Shrime, Mark G., Shukla, Sharvari Rahul, Siabani, Soraya, Sigfusdottir, Inga Dora, Silberberg, Donald H., Silva, Diego Augusto Santo, Silva, João Pedro, Silveira, Dayane Gabriele Alve, Singh, Jasvinder A., Singh, Lavanya, Singh, Narinder Pal, Singh, Virendra, Sinha, Dhirendra Narain, Sinke, Abiy Hiruye, Sisay, Mekonnen, Skirbekk, Vegard, Sliwa, Karen, Smith, Alison, Soares Filho, Adauto Martin, Sobaih, Badr H.A., Somai, Melek, Soneji, Samir, Soofi, Moslem, Sorensen, Reed J.D., Soriano, Joan B., Soyiri, Ireneous N., Sposato, Luciano A., Sreeramareddy, Chandrashekhar T., Srinivasan, Vinay, Stanaway, Jeffrey D., Stathopoulou, Vasiliki, Steel, Nichola, Stein, Dan J., Stokes, Mark Andrew, Sturua, Lela, Sufiyan, Muawiyyah Babale, Suliankatchi, Rizwan Abdulkader, Sunguya, Bruno F., Sur, Patrick J., Sykes, Bryan L., Sylaja, P.N., Szoeke, Cassandra E.I., Tabarés-Seisdedos, Rafael, Tadakamadla, Santosh Kumar, Tadesse, Andualem Henok, Taffere, Getachew Redae, Tandon, Nikhil, Tariku, Amare Tariku, Taveira, Nuno, Tehrani-Banihashemi, Arash, Temam Shifa, Girma, Temsah, Mohamad-Hani, Terkawi, Abdullah Sulieman, Tesema, Azeb Gebresilassie, Tesfaye, Dawit Jember, Tessema, Belay, Thakur, J.S., Thomas, Nihal, Thompson, Matthew J., Tillmann, Taavi, To, Quyen G., Tobe-Gai, Ruoyan, Tonelli, Marcello, Topor-Madry, Roman, Topouzis, Foti, Torre, Anna, Tortajada, Miguel, Tran, Bach Xuan, Tran, Khanh Bao, Tripathi, Avnish, Tripathy, Srikanth Prasad, Troeger, Christopher, Truelsen, Thoma, Tsoi, Derrick, Tudor Car, Lorainne, Tuem, Kald Beshir, Tyrovolas, Stefano, Uchendu, Uche S., Ukwaja, Kingsley Nnanna, Ullah, Irfan, Updike, Rachel, Uthman, Olalekan A., Uzochukwu, Benjamin S. Chudi, Valdez, Pascual Rubén, Van Boven, Job F.M., Varughese, Santosh, Vasankari, Tommi, Venketasubramanian, Narayanaswamy, Violante, Francesco S., Vladimirov, Sergey K., Vlassov, Vasiliy Victorovich, Vollset, Stein Emil, Vos, Theo, Wagnew, Fasil, Waheed, Yasir, Wallin, Mitchell T., Walson, Judd L., Wang, Yafeng, Wang, Yuan-Pang, Wassie, Molla Mesele, Weaver, Marcia R., Weiderpass, Elisabete, Weintraub, Robert G., Weiss, Jordan, Weldegwergs, Kidu Gidey, Werdecker, Andrea, West, T. 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Sd, Aljunid, Sm, Alomari, Ma, Altirkawi, Ka, Amare, At, Amoako, Ya, Andrei, Cl, Antonio, Cat, Araújo, Vem, Aryal, Kk, Asfaw, Et, Asgedom, Sw, Asghar, Rj, Ashebir, Mm, Asseffa, Na, Atey, Tm, Atre, Sr, Avokpaho, Efga, Ayala Quintanilla, Bp, Ayalew, Aa, Ayele, Ht, Ayuk, Tb, Babalola, Tk, Barber, Rm, Barboza, Ma, Barker-Collo, Sl, Barrero, Lh, Baune, Bt, Bekele, Bb, Belachew, Ab, Belay, Sa, Belay, Ya, Bell, Ml, Bello, Ak, Bennett, Da, Bennett, Jr, Bensenor, Im, Berhe, Df, Bhutta, Za, Bolliger, Iw, Bou-Orm, Ir, Brady, Oj, Breitborde, Njk, Butt, Za, Campos-Nonato, Ir, Campuzano, Jc, Carrero, Jj, Castañeda-Orjuela, Ca, Chang, Hy, Chang, Jc, Chiang, Pp, Chisumpa, Vh, Choi, Jj, Christopher, Dj, Chung, Sc, Ciobanu, Lg, Cortesi, Pa, Criqui, Mh, Cromwell, Ea, Crump, Ja, Daba, Ak, Dachew, Ba, Dadi, Af, Dargan, Pi, Das, Sk, De Neve, Jw, Dellavalle, Rp, Des Jarlais, Dc, Dharmaratne, Sd, Doku, Dt, Dorsey, Er, Dos Santos, Kpb, Doyle, Ke, Driscoll, Tr, Duncan, Bb, Ehrlich, Jr, El-Khatib, Zz, Endries, 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Kim, Yj, Kimokoti, Rw, Kopec, Ja, Koul, Pa, Krohn, Kj, Kumar, Ga, Kyu, Hh, Lad, Dp, Lal, Dk, Lang, Jj, Lansingh, Vc, Lazarus, Jv, Leasher, Jl, Lee, Ph, Leshargie, Ct, Liben, Ml, Lim, Ll, Lopez, Ad, Lorch, Sa, Lotufo, Pa, Lucas, Tcd, Lyons, Ra, Macarayan, Erk, Mackay, Mt, Maddison, Er, Malta, Dc, Mamun, Aa, Mansournia, Ma, Mantovani, Lg, Mapoma, Cc, Martins, Sco, Martins-Melo, Fr, Massenburg, Bb, Mathur, Mr, Maulik, Pk, Mcgrath, Jj, Mehta, Km, Meles, Kg, Memish, Za, Mengiste, Da, Mengistu, Dt, Menota, Bg, Mensah, Ga, Meretoja, Tj, Mezgebe, Hb, Miller, Tr, Mini, Gk, Mirrakhimov, Em, Mitchell, Pb, Mlashu, Fw, Mohammad, Ka, Mohammed, Ma, Mokdad, Ah, Mola, Gl, Montañez Hernandez, Jc, Morrison, Sd, Mousavi, Sm, Mueller, Uo, Murthy, Gv, Musa, Ki, Naik, Ga, Nansseu, Jrn, Narayan, Kv, Nascimento, Br, Negoi, Ri, Newton, Cr, Ngunjiri, Jw, Nguyen, Th, Ningrum, Dna, Nong, Vm, Norheim, Of, Noubiap, Jjn, Obermeyer, Cm, Ogbo, Fa, Oh, Ih, Olagunju, At, Olagunju, To, Olivares, Pr, Oliveira, Ppv, Olsen, He, Olusanya, Bo, Olusanya, Jo, Opio, Jn, Ortega-Altamirano, Dv, Pain, Aw, Palone, Mrt, Pandian, Jd, Park, Ek, Patil, St, Patton, Gc, Paturi, Vr, Pedroso, Mm, Pedroza, Sp, Pereira, Dm, Phillips, Mr, Piel, Fb, Pigott, Dm, Pillay, Jd, Piradov, Ma, Pond, Cd, Postma, Mj, Prasad, Nm, Quintana, Hk, Rahman, Ma, Rahman, Su, Rai, Rk, Raju, Sb, Rana, Sm, Rawaf, Dl, Ray, Se, Razo-García, Ca, Reiner, Rc, Reitsma, Mb, Renzaho, Amn, Ribeiro, Al, Rios Blancas, Mj, Rivera, Ja, Roth, Ga, Ruhago, Gm, Sabde, Yd, Sahraian, Ma, Saldanha, Rf, Salomon, Ja, Samy, Am, Sanabria, Jr, Sancheti, Pk, Sanchez-Niño, Md, Santric Milicevic, Mm, Sarker, Ar, Saylan, Mi, Schmidt, Mi, Schneider, Ijc, Schumacher, Ae, Schutte, Ae, Schwebel, Dc, Sepanlou, Sg, Servan-Mori, Ee, Shaikh, Ma, Shariful Islam, Sm, Shfare, Mt, Shrime, Mg, Shukla, Sr, Sigfusdottir, Id, Silberberg, Dh, Silva, Da, Silva, Jp, Silveira, Dga, Singh, Ja, Singh, Np, Sinha, Dn, Sinke, Ah, Soares Filho, Am, Sobaih, Bha, Sorensen, Rjd, Soriano, Jb, Soyiri, In, Sposato, La, Sreeramareddy, Ct, Stanaway, Jd, Stein, Dj, Stokes, Ma, Sufiyan, Mb, Suliankatchi, Ra, Sunguya, Bf, Sur, Pj, Sykes, Bl, Sylaja, Pn, Tadakamadla, Sk, Tadesse, Ah, Taffere, Gr, Tariku, At, Temsah, Mh, Tesema, Ag, Tesfaye, Dj, Thompson, Mj, To, Qg, Tran, Bx, Tran, Kb, Tripathy, Sp, Tuem, Kb, Ukwaja, Kn, Uthman, Oa, Uzochukwu, Bsc, Valdez, Pr, van Boven, Jfm, Vladimirov, Sk, Vlassov, Vv, Vollset, Se, Wallin, Mt, Walson, Jl, Wang, Yp, Wassie, Mm, Weaver, Mr, Weintraub, Rg, Weldegwergs, Kg, West, Te, White, Rg, Whiteford, Ha, Wolfe, Cd, Wondimkun, Ya, Wyper, Gma, Yan, Ll, Yimer, Nb, Yirsaw, Bd, Yoon, Sj, Younis, Mz, Zaki, Me, Zaman, Sb, Zenebe, Zm, Zimsen, Srm, Zuhlke, Lj, Murray, Cjl, and Lozano, R.
- Subjects
Peformance ,Coverage ,Dánartíðni ,Lífslíkur ,Life expectancy ,GBD ,Background A key component of achieving universal health coverage is ensuring that all populations have access to quality health care. Examining where gains have occurred or progress has faltered across and within countries is crucial to guiding decisions and strategies for future improvement. We used the Global Burden of Diseases, Injuries, and Risk Factors Study 2016 (GBD 2016) to assess personal health-care access and quality with the Healthcare Access and Quality (HAQ) Index for 195 countries and territories, as well as subnational locations in seven countries, from 1990 to 2016. Methods Drawing from established methods and updated estimates from GBD 2016, we used 32 causes from which death should not occur in the presence of effective care to approximate personal health-care access and quality by location and over time. To better isolate potential effects of personal health-care access and quality from underlying risk factor patterns, we risk-standardised cause-specific deaths due to non-cancers by location-year, replacing the local joint exposure of environmental and behavioural risks with the global level of exposure. Supported by the expansion of cancer registry data in GBD 2016, we used mortality-to-incidence ratios for cancers instead of risk-standardised death rates to provide a stronger signal of the effects of personal health care and access on cancer survival. We transformed each cause to a scale of 0–100, with 0 as the first percentile (worst) observed between 1990 and 2016, and 100 as the 99th percentile (best) ,universal health coverage ,Article ,access quality health care ,health care access and quality index ,Nations ,Healthcare Acce ,Cause-specific mortality ,Psychology ,Healthcare Access and Quality Index ,Mælitæki ,States ,Medicine (all) ,Health care ,Þjóðir ,Public Health, Global Health, Social Medicine and Epidemiology ,Quality ,Heilbrigðisþjónusta ,Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi ,Sálfræði ,Indicator ,Amenable mortality ,Transition ,we set these thresholds at the country level, and then applied them to subnational locations. We applied a principal components analysis to construct the HAQ Index using all scaled cause values, providing an overall score of 0–100 of personal health-care access and quality by location over time. We then compared HAQ Index levels and trends by quintiles on the Socio-demographic Index (SDI), a summary measure of overall development. As derived from the broader GBD study and other data sources, we examined relationships between national HAQ Index scores and potential correlates of performance, such as total health spending per capita. Findings In 2016, HAQ Index performance spanned from a high of 97·1 (95% UI 95·8–98·1) in Iceland, followed by 96·6 (94·9–97·9) in Norway and 96·1 (94·5–97·3) in the Netherlands, to values as low as 18·6 (13·1–24·4) in the Central African Republic, 19·0 (14·3–23·7) in Somalia, and 23·4 (20·2–26·8) in Guinea-Bissau. The pace of progress achieved between 1990 and 2016 varied, with markedly faster improvements occurring between 2000 and 2016 for many countries in sub-Saharan Africa and southeast Asia, whereas several countries in Latin America and elsewhere saw progress stagnate after experiencing considerable advances in the HAQ Index between 1990 and 2000. Striking subnational disparities emerged in personal health-care access and quality, with China and India having particularly large gaps between locations with the highest and lowest scores in 2016. In China, performance ranged from 91·5 (89·1–93·6) in Beijing to 48·0 (43·4–53·2) in Tibet (a 43·5-point difference), while India saw a 30·8-point disparity, from 64·8 (59·6–68·8) in Goa to 34·0 (30·3–38·1) in Assam. Japan recorded the smallest range in subnational HAQ performance in 2016 (a 4·8-point difference), whereas differences between subnational locations with the highest and lowest HAQ Index values were more than two times as high for the USA and three times as high for England. State-level gaps in the HAQ Index in Mexico somewhat narrowed from 1990 to 2016 (from a 20·9-point to 17·0-point difference), whereas in Brazil, disparities slightly increased across states during this time (a 17·2-point to 20·4-point difference). Performance on the HAQ Index showed strong linkages to overall development, with high and high-middle SDI countries generally having higher scores and faster gains for non-communicable diseases. Nonetheless, countries across the development spectrum saw substantial gains in some key health service areas from 2000 to 2016, most notably vaccine-preventable diseases. Overall, national performance on the HAQ Index was positively associated with higher levels of total health spending per capita, as well as health systems inputs, but these relationships were quite heterogeneous, particularly among low-to-middle SDI countries. Interpretation GBD 2016 provides a more detailed understanding of past success and current challenges in improving personal health-care access and quality worldwide. Despite substantial gains since 2000, many low-SDI and middle-SDI countries face considerable challenges unless heightened policy action and investments focus on advancing access to and quality of health care across key health services, especially non-communicable diseases. Stagnating or minimal improvements experienced by several low-middle to high-middle SDI countries could reflect the complexities of re-orienting both primary and secondary health-care services beyond the more limited foci of the Millennium Development Goals. Alongside initiatives to strengthen public health programmes, the pursuit of universal health coverage hinges upon improving both access and quality worldwide, and thus requires adopting a more comprehensive view—and subsequent provision—of quality health care for all populations ,Trends ,Inequalities - Abstract
Background A key component of achieving universal health coverage is ensuring that all populations have access to quality health care. Examining where gains have occurred or progress has faltered across and within countries is crucial to guiding decisions and strategies for future improvement. We used the Global Burden of Diseases, Injuries, and Risk Factors Study 2016 (GBD 2016) to assess personal health-care access and quality with the Healthcare Access and Quality (HAQ) Index for 195 countries and territories, as well as subnational locations in seven countries, from 1990 to 2016. Methods Drawing from established methods and updated estimates from GBD 2016, we used 32 causes from which death should not occur in the presence of effective care to approximate personal health-care access and quality by location and over time. To better isolate potential effects of personal health-care access and quality from underlying risk factor patterns, we risk-standardised cause-specific deaths due to non-cancers by location-year, replacing the local joint exposure of environmental and behavioural risks with the global level of exposure. Supported by the expansion of cancer registry data in GBD 2016, we used mortality-to-incidence ratios for cancers instead of risk-standardised death rates to provide a stronger signal of the effects of personal health care and access on cancer survival. We transformed each cause to a scale of 0-100, with 0 as the first percentile (worst) observed between 1990 and 2016, and 100 as the 99th percentile (best); we set these thresholds at the country level, and then applied them to subnational locations. We applied a principal components analysis to construct the HAQ Index using all scaled cause values, providing an overall score of 0-100 of personal health-care access and quality by location over time. We then compared HAQ Index levels and trends by quintiles on the Socio-demographic Index (SDI), a summary measure of overall development. As derived from the broader GBD study and other data sources, we examined relationships between national HAQ Index scores and potential correlates of performance, such as total health spending per capita. Findings In 2016, HAQ Index performance spanned from a high of 97.1 (95% UI 95.8-98.1) in Iceland, followed by 96.6 (94.9-97.9) in Norway and 96.1 (94.5-97.3) in the Netherlands, to values as low as 18.6 (13.1-24.4) in the Central African Republic, 19.0 (14.3-23.7) in Somalia, and 23.4 (20.2-26.8) in Guinea-Bissau. The pace of progress achieved between 1990 and 2016 varied, with markedly faster improvements occurring between 2000 and 2016 for many countries in sub-Saharan Africa and southeast Asia, whereas several countries in Latin America and elsewhere saw progress stagnate after experiencing considerable advances in the HAQ Index between 1990 and 2000. Striking subnational disparities emerged in personal health-care access and quality, with China and India having particularly large gaps between locations with the highest and lowest scores in 2016. In China, performance ranged from 91.5 (89.1-936) in Beijing to 48.0 (43.4-53.2) in Tibet (a 43.5-point difference), while India saw a 30.8-point disparity, from 64.8 (59.6-68.8) in Goa to 34.0 (30.3-38.1) in Assam. Japan recorded the smallest range in subnational HAQ performance in 2016 (a 4.8-point difference), whereas differences between subnational locations with the highest and lowest HAQ Index values were more than two times as high for the USA and three times as high for England. State-level gaps in the HAQ Index in Mexico somewhat narrowed from 1990 to 2016 (from a 20.9-point to 17.0-point difference), whereas in Brazil, disparities slightly increased across states during this time (a 17.2-point to 20.4-point difference). Performance on the HAQ Index showed strong linkages to overall development, with high and high-middle SDI countries generally having higher scores and faster gains for non-communicable diseases. Nonetheless, countries across the development spectrum saw substantial gains in some key health service areas from 2000 to 2016, most notably vaccine-preventable diseases. Overall, national performance on the HAQ Index was positively associated with higher levels of total health spending per capita, as well as health systems inputs, but these relationships were quite heterogeneous, particularly among low-to-middle SDI countries. Interpretation GBD 2016 provides a more detailed understanding of past success and current challenges in improving personal health-care access and quality worldwide. Despite substantial gains since 2000, many low-SDI and middle-SDI countries face considerable challenges unless heightened policy action and investments focus on advancing access to and quality of health care across key health services, especially non-communicable diseases. Stagnating or minimal improvements experienced by several low-middle to high-middle SDI countries could reflect the complexities of re-orienting both primary and secondary health-care services beyond the more limited foci of the Millennium Development Goals. Alongside initiatives to strengthen public health programmes, the pursuit of universal health coverage upon improving both access and quality worldwide, and thus requires adopting a more comprehensive view and subsequent provision of quality health care for all populations., Bill & Melinda Gates Foundation. Barbora de Courten is supported by a National Heart Foundation Future Leader Fellowship (100864). Ai Koyanagi’s work is supported by the Miguel Servet contract financed by the CP13/00150 and PI15/00862 projects, integrated into the National R + D + I and funded by the ISCIII —General Branch Evaluation and Promotion of Health Research—and the European Regional Development Fund (ERDF-FEDER). Alberto Ortiz was supported by Spanish Government (Instituto de Salud Carlos III RETIC REDINREN RD16/0019 FEDER funds). Ashish Awasthi acknowledges funding support from Department of Science and Technology, Government of India through INSPIRE Faculty scheme Boris Bikbov has received funding from the European Union’s Horizon 2020 research and innovation programme under Marie Sklodowska-Curie grant agreement No. 703226. Boris Bikbov acknowledges that work related to this paper has been done on the behalf of the GBD Genitourinary Disease Expert Group. Panniyammakal Jeemon acknowledges support from the clinical and public health intermediate fellowship from the Wellcome Trust and Department of Biotechnology, India Alliance (2015–20). Job F M van Boven was supported by the Department of Clinical Pharmacy & Pharmacology of the University Medical Center Groningen, University of Groningen, Netherlands. Olanrewaju Oladimeji is an African Research Fellow hosted by Human Sciences Research Council (HSRC), South Africa and he also has honorary affiliations with Walter Sisulu University (WSU), Eastern Cape, South Africa and School of Public Health, University of Namibia (UNAM), Namibia. He is indeed grateful for support from HSRC, WSU and UNAM. EUI is supported in part by the South African National Research Foundation (NRF UID: 86003). Ulrich Mueller acknowledges funding by the German National Cohort Study grant No 01ER1511/D, Gabrielle B Britton is supported by Secretaría Nacional de Ciencia, Tecnología e Innovación and Sistema Nacional de Investigación de Panamá. Giuseppe Remuzzi acknowledges that the work related to this paper has been done on behalf of the GBD Genitourinary Disease Expert Group. Behzad Heibati would like to acknowledge Air pollution Research Center, Iran University of Medical Sciences (IUMS), Tehran, Iran. Syed Aljunid acknowledges the National University of Malaysia for providing the approval to participate in this GBD Project. Azeem Majeed and Imperial College London are grateful for support from the Northwest London National Insititute of Health Research (NIHR) Collaboration for Leadership in Applied Health Research & Care. Tambe Ayuk acknowledges the Institute of Medical Research and Medicinal Plant Studies for office space provided. José das Neves was supported in his contribution to this work by a Fellowship from Fundação para a Ciência e a Tecnologia, Portugal (SFRH/BPD/92934/2013). João Fernandes gratefully acknowledges funding from FCT–Fundação para a Ciência e a Tecnologia (grant number UID/Multi/50016/2013). Jan-Walter De Neve was supported by the Alexander von Humboldt Foundation. Kebede Deribe is funded by a Wellcome Trust Intermediate Fellowship in Public Health and Tropical Medicine (201900). Kazem Rahimi was supported by grants from the Oxford Martin School, the NIHR Oxford BRC and the RCUK Global Challenges Research Fund. Laith J Abu-Raddad acknowledges the support of Qatar National Research Fund (NPRP 9-040-3-008) who provided the main funding for generating the data provided to the GBD-IHME effort. Liesl Zuhlke is funded by the national research foundation of South Africa and the Medical Research Council of South Africa. Monica Cortinovis acknowledges that work related to this paper has been done on the behalf of the GBD Genitourinary Disease Expert Group. Chuanhua Yu acknowleges support from the National Natural Science Foundation of China (grant number 81773552 and grant number 81273179) Norberto Perico acknowledges that work related to this paper has been done on behalf of the GBD Genitourinary Disease Expert Group. Charles Shey Wiysonge’s work is supported by the South African Medical Research Council and the National Research Foundation of South Africa (grant numbers 106035 and 108571). John J McGrath is supported by grant APP1056929 from the John Cade Fellowship from the National Health and Medical Research Council and the Danish National Research Foundation (Niels Bohr Professorship). Quique Bassat is an ICREA (Catalan Institution for Research and Advanced Studies) research professor at ISGlobal. Richard G White is funded by the UK MRC and the UK Department for International Development (DFID) under the MRC/DFID Concordat agreement that is also part of the EDCTP2 programme supported by the European Union (MR/P002404/1), the Bill & Melinda Gates Foundation (TB Modelling and Analysis Consortium: OPP1084276/OPP1135288, CORTIS: OPP1137034/OPP1151915, Vaccines: OPP1160830), and UNITAID (4214-LSHTM-Sept15; PO 8477-0-600). Rafael Tabarés-Seisdedos was supported in part by grant number PROMETEOII/2015/021 from Generalitat Valenciana and the national grant PI17/00719 from ISCIII-FEDER. Mihajlo Jakovljevic acknowleges contribution from the Serbian Ministry of Education Science and Technological Development of the Republic of Serbia (grant OI 175 014). Shariful Islam is funded by a Senior Fellowship from Institute for Physical Activity and Nutrition, Deakin University and received career transition grants from High Blood Pressure Research Council of Australia. Sonia Saxena is funded by various grants from the NIHR. Stefanos Tyrovolas was supported by the Foundation for Education and European Culture, the Sara Borrell postdoctoral program (reference number CD15/00019 from the Instituto de Salud Carlos III (ISCIII–Spain) and the Fondos Europeo de Desarrollo Regional. Stefanos was awarded with a 6 months visiting fellowship funding at IHME from M-AES (reference no. MV16/00035 from the Instituto de Salud Carlos III). S Vittal Katikreddi was funded by a NHS Research Scotland Senior Clinical Fellowship (SCAF/15/02), the MRC (MC_UU_12017/13 & MC_ UU_12017/15) and the Scottish Government Chief Scientist Office (SPHSU13 & SPHSU15). Traolach S Brugha has received funding from NHS Digital UK to collect data used in this study. The work of Hamid Badali was financially supported by Mazandaran University of Medical Sciences, Sari, Iran. The work of Stefan Lorkowski is funded by the German Federal Ministry of Education and Research (nutriCARD, Grant agreement number 01EA1411A). Mariam Molokhia’s research was supported by the National Institute for Health Research (NIHR) Biomedical Research Centre at Guy’s and St Thomas’ NHS Foundation Trust and King’s College London. The views expressed are those of the author(s) and not necessarily those of the NHS, the NIHR or the Department of Health. We also thank the countless individuals who have contributed to GBD 2016 in various capacities.
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- 2018
5. Biomarkers for nutrient intake with focus on alternative sampling techniques
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Holen, T., primary, Norheim, F., additional, Gundersen, T. E., additional, Mitry, P., additional, Linseisen, J., additional, Iversen, P. O., additional, and Drevon, C. A., additional
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- 2016
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6. Genetic and Hormonal Control of Hepatic Steatosis in Female and Male Mice
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Norheim, F., primary, Hui, S., additional, and Lusis, J., additional
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- 2016
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7. The effect of strength training volume on satellite cells, myogenic regulatory factors, and growth factors
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Ke, Hanssen, Nh, Kvamme, Ts, Nilsen, Rønnestad B, Ik, Ambjørnsen, Norheim F, fawzi kadi, Hallèn J, Ca, Drevon, and Raastad T
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Adult ,Male ,Vascular Endothelial Growth Factor A ,Satellite Cells, Skeletal Muscle ,Hepatocyte Growth Factor ,Reverse Transcriptase Polymerase Chain Reaction ,Back Muscles ,Blotting, Western ,Muscle Fibers, Skeletal ,Resistance Training ,Myostatin ,Quadriceps Muscle ,Myogenic Regulatory Factors ,Humans ,Fibroblast Growth Factor 2 ,Myogenin ,Muscle Strength ,RNA, Messenger ,Insulin-Like Growth Factor I ,Muscle, Skeletal ,Exercise ,MyoD Protein - Abstract
The aim of this work was to study the effect of training volume on activation of satellite cells. Healthy untrained men were randomly assigned into two groups. The 3L-1UB group (n = 10) performed three-set leg exercises and single-set upper body exercises, and the 1L-3UB group (n = 11) performed single-set leg exercises and three-set upper body exercises. Both groups performed three sessions (80-90 min) per week for 11 weeks. Biopsies were taken from m. vastus lateralis and m. trapezius. The number of satellite cells, satellite cells positive for myogenin and MyoD, and the number of myonuclei were counted. Homogenized muscle was analyzed for myogenin and MyoD, and extracted ribonucleic acid (RNA) was monitored for selected growth factor transcripts. Knee extensor strength increased more in the 3L-1UB group than in the 1L-3UB group (48 ± 4% vs 29 ± 4%), whereas the strength gain in shoulder press was similar in both training groups. The number of satellite cells in m. vastus lateralis increased more in the 3L-1UB group than in the 1L-3UB group. The number of myonuclei increased similarly in both groups. The messenger RNA expression of growth factors peaked after 2 weeks of training. In conclusion, increasing training volume enhanced satellite cell numbers in the leg muscle, but not in the upper body muscle.
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- 2012
8. Myostatin in relation to physical activity and dysglycaemia and its effect on energy metabolism in human skeletal muscle cells
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Hjorth, M., primary, Pourteymour, S., additional, Görgens, S. W., additional, Langleite, T. M., additional, Lee, S., additional, Holen, T., additional, Gulseth, H. L., additional, Birkeland, K. I., additional, Jensen, J., additional, Drevon, C. A., additional, and Norheim, F., additional
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- 2015
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9. The exercise-regulated myokine chitinase-3-like protein 1 stimulates human myocyte proliferation
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Görgens, S. W., primary, Hjorth, M., additional, Eckardt, K., additional, Wichert, S., additional, Norheim, F., additional, Holen, T., additional, Lee, S., additional, Langleite, T., additional, Birkeland, K. I., additional, Stadheim, H. K., additional, Kolnes, K. J., additional, Tangen, D. S., additional, Kolnes, A. J., additional, Jensen, J., additional, Drevon, C. A., additional, and Eckel, J., additional
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- 2015
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10. Expression of perilipins in human skeletal muscle in vitro and in vivo in relation to diet, exercise and energy balance
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Gjelstad, I. M. F., Haugen, F., Gulseth, H. L., Norheim, F., Jans, A., Bakke, S. S., Raastad, T., Tjonna, A. E., Wisloff, U., Blaak, E. E., Risérus, Ulf, Gaster, M., Roche, H. M., Birkeland, K. I., Drevon, C. A., Gjelstad, I. M. F., Haugen, F., Gulseth, H. L., Norheim, F., Jans, A., Bakke, S. S., Raastad, T., Tjonna, A. E., Wisloff, U., Blaak, E. E., Risérus, Ulf, Gaster, M., Roche, H. M., Birkeland, K. I., and Drevon, C. A.
- Abstract
The perilipin proteins enclose intracellular lipid droplets. We describe the mRNA expression of the five perilipins in human skeletal muscle in relation to fatty acid supply, exercise and energy balance. We observed that all perilipins were expressed in skeletal muscle biopsies with the highest mRNA levels of perilipin 2, 4 and 5. Cultured myotubes predominantly expressed perilipin 2 and 3. In vitro, incubation of myotubes with fatty acids enhanced mRNA expression of perilipin 1, 2 and 4. In vivo, low fat diet increased mRNA levels of perilipin 3 and 4. Endurance training, but not strength training, enhanced the expression of perilipin 2 and 3. Perilipin 1 mRNA correlated positively with body fat mass, whereas none of the perilipins were associated with insulin sensitivity. In conclusion, all perilipins mRNAs were expressed in human skeletal muscle. Diet as well as endurance exercise modulated the expression of perilipins.
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- 2012
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11. SAT-312 - Genetic and Hormonal Control of Hepatic Steatosis in Female and Male Mice
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Norheim, F., Hui, S., and Lusis, J.
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- 2016
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12. The effect of strength training volume on satellite cells, myogenic regulatory factors, and growth factors
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Hanssen, K.E., primary, Kvamme, N.H., additional, Nilsen, T.S., additional, Rønnestad, B., additional, Ambjørnsen, I.K., additional, Norheim, F., additional, Kadi, F., additional, Hallèn, J., additional, Drevon, C.A., additional, and Raastad, T., additional
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- 2012
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13. Expression of perilipins in human skeletal musclein vitroandin vivoin relation to diet, exercise and energy balance
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Gjelstad, I.M.F., primary, Haugen, F., additional, Gulseth, H.L., additional, Norheim, F., additional, Jans, A., additional, Bakke, S.S., additional, Raastad, T., additional, Tjønna, A.E., additional, Wisløff, U., additional, Blaak, E.E., additional, Risérus, U., additional, Gaster, M., additional, Roche, H.M., additional, Birkeland, K.I., additional, and Drevon, C.A., additional
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- 2011
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14. Sunday, 18 July 2010
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Schuchardt, M., primary, Toelle, M., additional, Huang, T., additional, Wiedon, A., additional, Van Der Giet, M., additional, Mill, C., additional, George, S., additional, Jeremy, J., additional, Santulli, G., additional, Illario, M., additional, Cipolletta, E., additional, Sorriento, D., additional, Del Giudice, C., additional, Anastasio, A., additional, Trimarco, B., additional, Iaccarino, G., additional, Jobs, A., additional, Wagner, C., additional, Kurtz, A., additional, De Wit, C., additional, Koller, A., additional, Suvorava, T., additional, Weber, M., additional, Dao, V., additional, Kojda, G., additional, Tsaousi, A., additional, Lyon, C., additional, Williams, H., additional, Barth, N., additional, Loot, A., additional, Fleming, I., additional, Keul, P., additional, Lucke, S., additional, Graeler, M., additional, Heusch, G., additional, Levkau, B., additional, Biessen, E., additional, De Jager, S., additional, Bermudez-Pulgarin, B., additional, Bot, I., additional, Abia, R., additional, Van Berkel, T., additional, Renger, A., additional, Noack, C., additional, Zafiriou, M., additional, Dietz, R., additional, Bergmann, M., additional, Zelarayan, L., additional, Hammond, J., additional, Hamelet, J., additional, Van Assche, T., additional, Belge, C., additional, Vanderper, A., additional, Langin, D., additional, Herijgers, P., additional, Balligand, J., additional, Perrot, A., additional, Neubert, M., additional, Posch, M., additional, Oezcelik, C., additional, Waldmuller, S., additional, Berger, F., additional, Scheffold, T., additional, Bouvagnet, P., additional, Ozcelik, C., additional, Lebreiro, A., additional, Martins, E., additional, Lourenco, P., additional, Cruz, C., additional, Martins, M., additional, Bettencourt, P., additional, Maciel, M., additional, Abreu-Lima, C., additional, Pilichou, K., additional, Bauce, B., additional, Rampazzo, A., additional, Carturan, E., additional, Corrado, D., additional, Thiene, G., additional, Basso, C., 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- 2010
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15. Expression of perilipins in human skeletal muscle in vitro and in vivo in relation to diet, exercise and energy balance.
- Author
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Gjelstad, I.M.F., Haugen, F., Gulseth, H.L., Norheim, F., Jans, A., Bakke, S.S., Raastad, T., Tjønna, A.E., Wisløff, U., Blaak, E.E., Risérus, U., Gaster, M., Roche, H.M., Birkeland, K.I., and Drevon, C.A.
- Subjects
GENE expression ,SKELETAL muscle ,EXERCISE ,DIET ,BIOENERGETICS ,MESSENGER RNA ,FATTY acids - Abstract
The perilipin proteins enclose intracellular lipid droplets. We describe the mRNA expression of the five perilipins in human skeletal muscle in relation to fatty acid supply, exercise and energy balance. We observed that all perilipins were expressed in skeletal muscle biopsies with the highest mRNA levels of perilipin 2, 4 and 5. Cultured myotubes predominantly expressed perilipin 2 and 3. In vitro, incubation of myotubes with fatty acids enhanced mRNA expression of perilipin 1, 2 and 4. In vivo, low fat diet increased mRNA levels of perilipin 3 and 4. Endurance training, but not strength training, enhanced the expression of perilipin 2 and 3. Perilipin 1 mRNA correlated positively with body fat mass, whereas none of the perilipins were associated with insulin sensitivity. In conclusion, all perilipins mRNAs were expressed in human skeletal muscle. Diet as well as endurance exercise modulated the expression of perilipins. [ABSTRACT FROM AUTHOR]
- Published
- 2012
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16. Levels of selenium in relation to levels of mercury in fish from Mjosa, a freshwater lake in southeastern Norway
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Froslie, A., Norheim, F., and Sandlund, O. T.
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HEAVY metals ,WATER pollution monitoring ,SELENIUM ,FISHES ,MERCURY - Published
- 1985
17. Serum proteomic profiling of physical activity reveals CD300LG as a novel exerkine with a potential causal link to glucose homeostasis.
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Lee-Ødegård S, Hjorth M, Olsen T, Moen GH, Daubney E, Evans DM, Hevener AL, Lusis AJ, Zhou M, Seldin MM, Allayee H, Hilser J, Viken JK, Gulseth H, Norheim F, Drevon CA, and Birkeland KI
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- Adult, Animals, Female, Humans, Male, Mice, Middle Aged, Biomarkers blood, Blood Glucose metabolism, Blood Proteins metabolism, Blood Proteins analysis, Diabetes Mellitus, Type 2 metabolism, Diabetes Mellitus, Type 2 genetics, Diabetes Mellitus, Type 2 blood, Glucose metabolism, Insulin Resistance, Muscle, Skeletal metabolism, Overweight metabolism, Overweight blood, Proteomics, Exercise physiology, Homeostasis
- Abstract
Background: Physical activity has been associated with preventing the development of type 2 diabetes and atherosclerotic cardiovascular disease. However, our understanding of the precise molecular mechanisms underlying these effects remains incomplete and good biomarkers to objectively assess physical activity are lacking., Methods: We analyzed 3072 serum proteins in 26 men, normal weight or overweight, undergoing 12 weeks of a combined strength and endurance exercise intervention. We estimated insulin sensitivity with hyperinsulinemic euglycemic clamp, maximum oxygen uptake, muscle strength, and used MRI/MRS to evaluate body composition and organ fat depots. Muscle and subcutaneous adipose tissue biopsies were used for mRNA sequencing. Additional association analyses were performed in samples from up to 47,747 individuals in the UK Biobank, as well as using two-sample Mendelian randomization and mice models., Results: Following 12 weeks of exercise intervention, we observed significant changes in 283 serum proteins. Notably, 66 of these proteins were elevated in overweight men and positively associated with liver fat before the exercise regimen, but were normalized after exercise. Furthermore, for 19.7 and 12.1% of the exercise-responsive proteins, corresponding changes in mRNA expression levels in muscle and fat, respectively, were shown. The protein CD300LG displayed consistent alterations in blood, muscle, and fat. Serum CD300LG exhibited positive associations with insulin sensitivity, and to angiogenesis-related gene expression in both muscle and fat. Furthermore, serum CD300LG was positively associated with physical activity and negatively associated with glucose levels in the UK Biobank. In this sample, the association between serum CD300LG and physical activity was significantly stronger in men than in women. Mendelian randomization analysis suggested potential causal relationships between levels of serum CD300LG and fasting glucose, 2 hr glucose after an oral glucose tolerance test, and HbA1c. Additionally, Cd300lg responded to exercise in a mouse model, and we observed signs of impaired glucose tolerance in male, but not female, Cd300lg knockout mice., Conclusions: Our study identified several novel proteins in serum whose levels change in response to prolonged exercise and were significantly associated with body composition, liver fat, and glucose homeostasis. Serum CD300LG increased with physical activity and is a potential causal link to improved glucose levels. CD300LG may be a promising exercise biomarker and a therapeutic target in type 2 diabetes., Funding: South-Eastern Norway Regional Health Authority, Simon Fougners Fund, Diabetesforbundet, Johan Selmer Kvanes' legat til forskning og bekjempelse av sukkersyke. The UK Biobank resource reference 53641. Australian National Health and Medical Research Council Investigator Grant (APP2017942). Australian Research Council Discovery Early Career Award (DE220101226). Research Council of Norway (Project grant: 325640 and Mobility grant: 287198). The Medical Student Research Program at the University of Oslo. Novo Nordisk Fonden Excellence Emerging Grant in Endocrinology and Metabolism 2023 (NNF23OC0082123)., Clinical Trial Number: clinicaltrials.gov: NCT01803568., Competing Interests: SL, MH, TO, GM, ED, DE, AH, AL, MZ, HA, JH, JV, HG, FN, KB No competing interests declared, MS Reviewing editor, eLife, CD Stock owner at VITAS AS, (© 2024, Lee-Ødegård et al.)
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- 2024
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18. Intra-Individual Variations in How Insulin Sensitivity Responds to Long-Term Exercise: Predictions by Machine Learning Based on Large-Scale Serum Proteomics.
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Viken JK, Olsen T, Drevon CA, Hjorth M, Birkeland KI, Norheim F, and Lee-Ødegård S
- Abstract
Physical activity is effective for preventing and treating type 2 diabetes, but some individuals do not achieve metabolic benefits from exercise ("non-responders"). We investigated non-responders in terms of insulin sensitivity changes following a 12-week supervised strength and endurance exercise program. We used a hyperinsulinaemic euglycaemic clamp to measure insulin sensitivity among 26 men aged 40-65, categorizing them into non-responders or responders based on their insulin sensitivity change scores. The exercise regimen included VO
2 max, muscle strength, whole-body MRI scans, muscle and fat biopsies, and serum samples. mRNA sequencing was performed on biopsies and Olink proteomics on serum samples. Non-responders showed more visceral and intramuscular fat and signs of dyslipidaemia and low-grade inflammation at baseline and did not improve in insulin sensitivity following exercise, although they showed gains in VO2 max and muscle strength. Impaired IL6-JAK-STAT3 signalling in non-responders was suggested by serum proteomics analysis, and a baseline serum proteomic machine learning (ML) algorithm predicted insulin sensitivity responses with high accuracy, validated across two independent exercise cohorts. The ML model identified 30 serum proteins that could forecast exercise-induced insulin sensitivity changes., Competing Interests: Christian A. Drevon is an employees of Vitas Ltd. The paper reflects the views of the scientists, and not the company.- Published
- 2024
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19. Conserved multi-tissue transcriptomic adaptations to exercise training in humans and mice.
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Moore TM, Lee S, Olsen T, Morselli M, Strumwasser AR, Lin AJ, Zhou Z, Abrishami A, Garcia SM, Bribiesca J, Cory K, Whitney K, Ho T, Ho T, Lee JL, Rucker DH, Nguyen CQA, Anand ATS, Yackly A, Mendoza LQ, Leyva BK, Aliman C, Artiga DJ, Meng Y, Charugundla S, Pan C, Jedian V, Seldin MM, Ahn IS, Diamante G, Blencowe M, Yang X, Mouisel E, Pellegrini M, Turcotte LP, Birkeland KI, Norheim F, Drevon CA, Lusis AJ, and Hevener AL
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- Male, Middle Aged, Humans, Female, Mice, Animals, Obesity metabolism, Acclimatization, Adipose Tissue metabolism, Muscle, Skeletal metabolism, Transcriptome genetics, Adaptation, Physiological
- Abstract
Physical activity is associated with beneficial adaptations in human and rodent metabolism. We studied over 50 complex traits before and after exercise intervention in middle-aged men and a panel of 100 diverse strains of female mice. Candidate gene analyses in three brain regions, muscle, liver, heart, and adipose tissue of mice indicate genetic drivers of clinically relevant traits, including volitional exercise volume, muscle metabolism, adiposity, and hepatic lipids. Although ∼33% of genes differentially expressed in skeletal muscle following the exercise intervention are similar in mice and humans independent of BMI, responsiveness of adipose tissue to exercise-stimulated weight loss appears controlled by species and underlying genotype. We leveraged genetic diversity to generate prediction models of metabolic trait responsiveness to volitional activity offering a framework for advancing personalized exercise prescription. The human and mouse data are publicly available via a user-friendly Web-based application to enhance data mining and hypothesis development., Competing Interests: Declaration of interests The authors declare no competing interests., (Copyright © 2023 The Authors. Published by Elsevier Inc. All rights reserved.)
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- 2023
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20. Correction to: Effects of long-term exercise on plasma adipokine levels and inflammation-related gene expression in subcutaneous adipose tissue in sedentary dysglycaemic, overweight men and sedentary normoglycaemic men of healthy weight.
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Lee S, Norheim F, Langleite TM, Gulseth HL, Birkeland KI, and Drevon CA
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- 2023
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21. Consumption of salmon fishmeal increases hepatic cholesterol content in obese C57BL/6 J mice.
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Hjorth M, Doncheva A, Norheim F, Ulven SM, Holven KB, Sæther T, and Dalen KT
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- Animals, Cattle, Female, Mice, Dietary Proteins metabolism, Glucose metabolism, Mice, Inbred C57BL, Mice, Obese, Obesity metabolism, Salmon metabolism, Red Meat, Seafood, Cholesterol, Diet, High-Fat adverse effects, Liver metabolism
- Abstract
Purpose: By-products from farmed fish contain large amounts of proteins and may be used for human consumption. The purpose of this study was to investigate cardiometabolic effects and metabolic tolerance in mice consuming fishmeal from salmon by-products, salmon filet or beef., Methods: Female C57BL/6J mice were fed chow, as a healthy reference group, or a high-fat diet for 10 weeks to induce obesity and glucose intolerance. Obese mice were subsequently given isocaloric diets containing 50% of the dietary protein from salmon fishmeal, salmon filet or beef for 10 weeks. Mice were subjected to metabolic phenotyping, which included measurements of body composition, energy metabolism in metabolic cages and glucose tolerance. Lipid content and markers of hepatic toxicity were determined in plasma and liver. Hepatic gene and protein expression was determined with RNA sequencing and immunoblotting., Results: Mice fed fishmeal, salmon filet or beef had similar food intake, energy consumption, body weight gain, adiposity, glucose tolerance and circulating levels of lipids and hepatic toxicity markers, such as p-ALT and p-AST. Fishmeal increased hepatic cholesterol levels by 35-36% as compared to salmon filet (p = 0.0001) and beef (p = 0.005). This was accompanied by repressed expression of genes involved in steroid and cholesterol metabolism and reduced levels of circulating Pcsk9., Conclusion: Salmon fishmeal was well tolerated, but increased hepatic cholesterol content. The high cholesterol content in fishmeal may be responsible for the effects on hepatic cholesterol metabolism. Before introducing fishmeal from salmon by-products as a dietary component, it may be advantageous to reduce the cholesterol content in fishmeal., (© 2022. The Author(s).)
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- 2022
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22. Potential Mechanisms for How Long-Term Physical Activity May Reduce Insulin Resistance.
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Lee-Ødegård S, Olsen T, Norheim F, Drevon CA, and Birkeland KI
- Abstract
Insulin became available for the treatment of patients with diabetes 100 years ago, and soon thereafter it became evident that the biological response to its actions differed markedly between individuals. This prompted extensive research into insulin action and resistance (IR), resulting in the universally agreed fact that IR is a core finding in patients with type 2 diabetes mellitus (T2DM). T2DM is the most prevalent form of diabetes, reaching epidemic proportions worldwide. Physical activity (PA) has the potential of improving IR and is, therefore, a cornerstone in the prevention and treatment of T2DM. Whereas most research has focused on the acute effects of PA, less is known about the effects of long-term PA on IR. Here, we describe a model of potential mechanisms behind reduced IR after long-term PA to guide further mechanistic investigations and to tailor PA interventions in the therapy of T2DM. The development of such interventions requires knowledge of normal glucose metabolism, and we briefly summarize an integrated physiological perspective on IR. We then describe the effects of long-term PA on signaling molecules involved in cellular responses to insulin, tissue-specific functions, and whole-body IR.
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- 2022
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23. The effect of toll-like receptor ligands on energy metabolism and myokine expression and secretion in cultured human skeletal muscle cells.
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Tingstad RH, Norheim F, Haugen F, Feng YZ, Tunsjø HS, Thoresen GH, Rustan AC, Charnock C, and Aas V
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- Cell Differentiation, Cells, Cultured, Cytokines metabolism, Fatty Acids metabolism, Gene Expression Regulation, Glucose metabolism, Humans, Immunity, Innate, Muscle Fibers, Skeletal metabolism, Oleic Acid metabolism, Polymerase Chain Reaction, RNA, Messenger metabolism, Satellite Cells, Skeletal Muscle metabolism, Cytokines biosynthesis, Energy Metabolism, Interleukin-6 metabolism, Ligands, Muscle, Skeletal metabolism, Toll-Like Receptors metabolism
- Abstract
Skeletal muscle plays an important role in glycaemic control and metabolic homeostasis, making it a tissue of interest with respect to type 2 diabetes mellitus. The aim of the present study was to determine if ligands of Toll-like receptors (TLRs) could have an impact on energy metabolism and myokine expression and secretion in cultured human skeletal muscle cells. The myotubes expressed mRNA for TLRs 1-6. TLR3, TLR4, TLR5 and TLR6 ligands (TLRLs) increased glucose metabolism. Furthermore, TLR4L and TLR5L increased oleic acid metabolism. The metabolic effects of TLRLs were not evident until after at least 24 h pre-incubation of the cells and here the metabolic effects were more evident for the metabolism of glucose than oleic acid, with a shift towards effects on oleic acid metabolism after chronic exposure (168 h). However, the stimulatory effect of TLRLs on myokine expression and secretion was detected after only 6 h, where TLR3-6L stimulated secretion of interleukin-6 (IL-6). TLR5L also increased secretion of interleukin-8 (IL-8), while TLR6L also increased secretion of granulocyte-macrophage colony stimulating factor (GM-CSF). Pre-incubation of the myotubes with IL-6 for 24 h increased oleic acid oxidation but had no effect on glucose metabolism. Thus IL-6 did not mimic all the metabolic effects of the TLRLs, implying metabolic effects beyond the actions of this myokine., (© 2021. The Author(s).)
- Published
- 2021
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24. Effect of voluntary exercise upon the metabolic syndrome and gut microbiome composition in mice.
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Moore TM, Terrazas A, Strumwasser AR, Lin AJ, Zhu X, Anand ATS, Nguyen CQ, Stiles L, Norheim F, Lang JM, Hui ST, Turcotte LP, and Zhou Z
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- Adiposity, Animals, Glucose metabolism, Liver metabolism, Male, Metabolic Syndrome metabolism, Metabolic Syndrome therapy, Mice, Mice, Inbred C57BL, Mitochondria, Liver metabolism, Receptors, LDL genetics, Receptors, LDL metabolism, Running, Gastrointestinal Microbiome, Metabolic Syndrome physiopathology, Physical Conditioning, Animal methods
- Abstract
The metabolic syndrome is a cluster of conditions that increase an individual's risk of developing diseases. Being physically active throughout life is known to reduce the prevalence and onset of some aspects of the metabolic syndrome. Furthermore, previous studies have demonstrated that an individual's gut microbiome composition has a large influence on several aspects of the metabolic syndrome. However, the mechanism(s) by which physical activity may improve metabolic health are not well understood. We sought to determine if endurance exercise is sufficient to prevent or ameliorate the development of the metabolic syndrome and its associated diseases. We also analyzed the impact of physical activity under metabolic syndrome progression upon the gut microbiome composition. Utilizing whole-body low-density lipoprotein receptor (LDLR) knockout mice on a "Western Diet," we show that long-term exercise acts favorably upon glucose tolerance, adiposity, and liver lipids. Exercise increased mitochondrial abundance in skeletal muscle but did not reduce liver fibrosis, aortic lesion area, or plasma lipids. Lastly, we observed several changes in gut bacteria and their novel associations with metabolic parameters of clinical importance. Altogether, our results indicate that exercise can ameliorate some aspects of the metabolic syndrome progression and alter the gut microbiome composition., (© 2021 The Authors. Physiological Reports published by Wiley Periodicals LLC on behalf of The Physiological Society and the American Physiological Society.)
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- 2021
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25. Progress and Challenges in the Biology of FNDC5 and Irisin.
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Maak S, Norheim F, Drevon CA, and Erickson HP
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- Adipose Tissue metabolism, Adipose Tissue, White metabolism, Animals, Biology, Humans, Mice, Fibronectins genetics, Fibronectins metabolism, Muscle, Skeletal metabolism
- Abstract
In 2002, a transmembrane protein-now known as FNDC5-was discovered and shown to be expressed in skeletal muscle, heart, and brain. It was virtually ignored for 10 years, until a study in 2012 proposed that, in response to exercise, the ectodomain of skeletal muscle FNDC5 was cleaved, traveled to white adipose tissue, and induced browning. The wasted energy of this browning raised the possibility that this myokine, named irisin, might mediate some beneficial effects of exercise. Since then, more than 1000 papers have been published exploring the roles of irisin. A major interest has been on adipose tissue and metabolism, following up the major proposal from 2012. Many studies correlating plasma irisin levels with physiological conditions have been questioned for using flawed assays for irisin concentration. However, experiments altering irisin levels by injecting recombinant irisin or by gene knockout are more promising. Recent discoveries have suggested potential roles of irisin in bone remodeling and in the brain, with effects potentially related to Alzheimer's disease. We discuss some discrepancies between research groups and the mechanisms that are yet to be determined. Some important questions raised in the initial discovery of irisin, such as the role of the mutant start codon of human FNDC5 and the mechanism of ectodomain cleavage, remain to be answered. Apart from these specific questions, a promising new tool has been developed-mice with a global or tissue-specific knockout of FNDC5. In this review, we critically examine the current knowledge and delineate potential solutions to resolve existing ambiguities., (© The Author(s) 2021. Published by Oxford University Press on behalf of the Endocrine Society.)
- Published
- 2021
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26. Effect of oral and transdermal oestrogen therapy on bone mineral density in functional hypothalamic amenorrhoea: a systematic review and meta-analysis.
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Aalberg K, Stavem K, Norheim F, Russell MB, and Chaibi A
- Abstract
Background: Female athletes might develop reduced bone mineral density (BMD) and amenorrhoea due to low energy intake., Objective: To systematically review the literature of randomised controlled trials (RCTs) assessing the effect of oestrogen oral contraceptives (OCP), conjugated oestrogens (CE) and transdermal estradiol (TE) on BMD in premenopausal women with functional hypothalamic amenorrhoea (FHA) due to weight loss, vigorous exercise and/or stress., Methods: A comprehensive literature search in PubMed, MEDLINE, Cochrane Library, Ovid and CINAHL from inception to 1 October 2020., Data Extraction and Synthesis: Two authors independently extracted data. When possible, the data were pooled in a random-effects meta-analysis., Main Outcomes: Difference in BMD (g/cm
2 ) at the lumbar spine., Results: Nine RCTs comprising 770 participants met the inclusion criteria; five studies applied OCP, two CE and two TE. Four RCTs (two OCP, two TE) found an increased BMD in premenopausal women with FHA, and five (three OCP, two CE) found a decreased BMD compared with controls. A meta-analysis showed no difference in BMD between the treatment and control groups, (standardised mean difference (SMD) 0.30, 95% CI -0.12 to 0.73). A secondary analysis for change scores from baseline to first assessment point, showed a similar overall result (SMD 0.17, 95% CI -0.16 to 0.51). No serious adverse events were reported., Conclusion: The literature suggests that TE might increase lumbar BMD in premenopausal women with FHA, but pooled results revealed no effect of the intervention. The findings do not support oestrogen therapy to improve BMD in these patient groups., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)- Published
- 2021
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27. Isolated Plin5-deficient cardiomyocytes store less lipid droplets than normal, but without increased sensitivity to hypoxia.
- Author
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Li Y, Torp MK, Norheim F, Khanal P, Kimmel AR, Stensløkken KO, Vaage J, and Dalen KT
- Subjects
- Animals, Cell Hypoxia, Cells, Cultured, Female, Gene Deletion, Lipid Droplets pathology, Mice, Myocardial Reperfusion Injury metabolism, Myocardial Reperfusion Injury pathology, Myocytes, Cardiac cytology, Myocytes, Cardiac pathology, Perilipin-5 metabolism, Lipid Droplets metabolism, Myocardial Reperfusion Injury genetics, Myocytes, Cardiac metabolism, Perilipin-5 genetics
- Abstract
Plin5 is abundantly expressed in the heart where it binds to lipid droplets (LDs) and facilitates physical interaction between LDs and mitochondria. We isolated cardiomyocytes from adult Plin5
+/+ and Plin5-/- mice to study the role of Plin5 for fatty acid uptake, LD accumulation, fatty acid oxidation, and tolerance to hypoxia. Cardiomyocytes isolated from Plin5-/- mice cultured with oleic acid stored less LDs than Plin5+/+ , but comparable levels to Plin5+/+ cardiomyocytes when adipose triglyceride lipase activity was inhibited. The ability to oxidize fatty acids into CO2 was similar between Plin5+/+ and Plin5-/- cardiomyocytes, but Plin5-/- cardiomyocytes had a transient increase in intracellular fatty acid oxidation intermediates. After pre-incubation with oleic acids, Plin5-/- cardiomyocytes retained a higher content of glycogen and showed improved tolerance to hypoxia compared to Plin5+/+ . In isolated, perfused hearts, deletion of Plin5 had no important effect on ventricular pressures or infarct size after ischemia. Old Plin5-/- mice had reduced levels of cardiac triacylglycerides, increased heart weight, and apart from modest elevated expression of mRNAs for beta myosin heavy chain Myh7 and the fatty acid transporter Cd36, other genes involved in fatty acid oxidation, glycogen metabolism and glucose utilization were essentially unchanged by removal of Plin5. Plin5 seems to facilitate cardiac LD storage primarily by repressing adipose triglyceride lipase activity without altering cardiac fatty acid oxidation capacity. Expression of Plin5 and cardiac LD content of isolated cardiomyocytes has little importance for tolerance to acute hypoxia and ischemia, which contrasts the protective role for Plin5 in mouse models during myocardial ischemia., (Copyright © 2021 The Authors. Published by Elsevier B.V. All rights reserved.)- Published
- 2021
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28. Branched-chain amino acid metabolism, insulin sensitivity and liver fat response to exercise training in sedentary dysglycaemic and normoglycaemic men.
- Author
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Lee S, Gulseth HL, Langleite TM, Norheim F, Olsen T, Refsum H, Jensen J, Birkeland KI, and Drevon CA
- Subjects
- Adipose Tissue diagnostic imaging, Adipose Tissue pathology, Exercise, Glucose Clamp Technique, Glucose Metabolism Disorders therapy, Humans, Liver diagnostic imaging, Magnetic Resonance Imaging, Male, Middle Aged, Muscle, Skeletal pathology, Overweight therapy, Oxygen Consumption, Sedentary Behavior, Subcutaneous Fat metabolism, Subcutaneous Fat pathology, Adipose Tissue metabolism, Amino Acids, Branched-Chain metabolism, Endurance Training, Glucose Metabolism Disorders metabolism, Insulin Resistance, Liver metabolism, Muscle, Skeletal metabolism, Overweight metabolism, Resistance Training
- Abstract
Aims/hypothesis: Obesity and insulin resistance may be associated with elevated plasma concentration of branched-chain amino acids (BCAAs) and impaired BCAA metabolism. However, it is unknown whether the insulin-sensitising effect of long-term exercise can be explained by concomitant change in BCAAs and their metabolism., Methods: We included 26 sedentary overweight and normal-weight middle-aged men from the MyoGlu clinical trial, with or without dysglycaemia, for 12 weeks of supervised intensive exercise intervention, including two endurance and two resistance sessions weekly. Insulin sensitivity was measured as the glucose infusion rate (GIR) from a hyperinsulinaemic-euglycaemic clamp. In addition, maximum oxygen uptake, upper and lower body strength and adipose tissue depots (using MRI and spectroscopy) were measured, and subcutaneous white adipose tissue (ScWAT) and skeletal muscle (SkM) biopsies were harvested both before and after the 12 week intervention. In the present study we have measured plasma BCAAs and related metabolites using CG-MS/MS and HPLC-MS/MS, and performed global mRNA-sequencing pathway analysis on ScWAT and SkM., Results: In MyoGlu, men with dysglycaemia displayed lower GIR, more fat mass and higher liver fat content than normoglycaemic men at baseline, and 12 weeks of exercise increased GIR, improved body composition and reduced liver fat content similarly for both groups. In our current study we observed higher plasma concentrations of BCAAs (14.4%, p = 0.01) and related metabolites, such as 3-hydroxyisobutyrate (19.4%, p = 0.034) in dysglycaemic vs normoglycaemic men at baseline. Baseline plasma BCAA levels correlated negatively to the change in GIR (ρ = -0.41, p = 0.037) and [Formula: see text] (ρ = -0.47, p = 0.015) after 12 weeks of exercise and positively to amounts of intraperitoneal fat (ρ = 0.40, p = 0.044) and liver fat (ρ = 0.58, p = 0.01). However, circulating BCAAs and related metabolites did not respond to 12 weeks of exercise, with the exception of isoleucine, which increased in normoglycaemic men (10 μmol/l, p = 0.01). Pathway analyses of mRNA-sequencing data implied reduced BCAA catabolism in both SkM and ScWAT in men with dysglycaemia compared with men with normoglycaemia at baseline. Gene expression levels related to BCAA metabolism correlated positively with GIR and markers of mitochondrial content in both SkM and ScWAT, and negatively with fat mass generally, and particularly with intraperitoneal fat mass. mRNA-sequencing pathway analysis also implied increased BCAA metabolism after 12 weeks of exercise in both groups and in both tissues, including enhanced expression of the gene encoding branched-chain α-ketoacid dehydrogenase (BCKDH) and reduced expression of the BCKDH phosphatase in both groups and tissues. Gene expression of SLC25A44, which encodes a mitochondrial BCAA transporter, was increased in SkM in both groups, and gene expression of BCKDK, which encodes BCKDH kinase, was reduced in ScWAT in dysglycaemic men. Mediation analyses indicated a pronounced effect of enhanced SkM (~53%, p = 0.022), and a moderate effect of enhanced ScWAT (~18%, p = 0.018) BCAA metabolism on improved insulin sensitivity after 12 weeks of exercise, based on mRNA sequencing. In comparison, plasma concentration of BCAAs did not mediate any effect in this regard., Conclusion/interpretation: Plasma BCAA concentration was largely unresponsive to long-term exercise and unrelated to exercise-induced insulin sensitivity. On the other hand, the insulin-sensitising effect of long-term exercise in men may be explained by enhanced SkM and, to a lesser degree, also by enhanced ScWAT BCAA catabolism. Graphical abstract.
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- 2021
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29. Genetic regulation of liver lipids in a mouse model of insulin resistance and hepatic steatosis.
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Norheim F, Chella Krishnan K, Bjellaas T, Vergnes L, Pan C, Parks BW, Meng Y, Lang J, Ward JA, Reue K, Mehrabian M, Gundersen TE, Péterfy M, Dalen KT, Drevon CA, Hui ST, Lusis AJ, and Seldin MM
- Subjects
- Animals, Disease Models, Animal, Fatty Liver chemically induced, Fatty Liver metabolism, Gene Expression Profiling, Gene Expression Regulation, Genetic Variation, Lipidomics, Male, Mice, Phosphatidylcholines metabolism, Triglycerides metabolism, Diet, High-Fat adverse effects, Fatty Liver genetics, Glucose adverse effects, Insulin Resistance genetics, MAP Kinase Kinase 6 genetics, Nuclear Proteins genetics
- Abstract
To elucidate the contributions of specific lipid species to metabolic traits, we integrated global hepatic lipid data with other omics measures and genetic data from a cohort of about 100 diverse inbred strains of mice fed a high-fat/high-sucrose diet for 8 weeks. Association mapping, correlation, structure analyses, and network modeling revealed pathways and genes underlying these interactions. In particular, our studies lead to the identification of Ifi203 and Map2k6 as regulators of hepatic phosphatidylcholine homeostasis and triacylglycerol accumulation, respectively. Our analyses highlight mechanisms for how genetic variation in hepatic lipidome can be linked to physiological and molecular phenotypes, such as microbiota composition., (© 2021 The Authors. Published under the terms of the CC BY 4.0 license.)
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- 2021
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30. Plin2 deletion increases cholesteryl ester lipid droplet content and disturbs cholesterol balance in adrenal cortex.
- Author
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Li Y, Khanal P, Norheim F, Hjorth M, Bjellaas T, Drevon CA, Vaage J, Kimmel AR, and Dalen KT
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- Animals, Mice, Male, Female, Mice, Knockout, Gene Deletion, Cholesterol Esters metabolism, Adrenal Cortex metabolism, Adrenal Cortex cytology, Cholesterol metabolism, Perilipin-2 metabolism, Perilipin-2 genetics, Lipid Droplets metabolism
- Abstract
Cholesteryl esters (CEs) are the water-insoluble transport and storage form of cholesterol. Steroidogenic cells primarily store CEs in cytoplasmic lipid droplet (LD) organelles, as contrasted to the majority of mammalian cell types that predominantly store triacylglycerol (TAG) in LDs. The LD-binding Plin2 binds to both CE- and TAG-rich LDs, and although Plin2 is known to regulate degradation of TAG-rich LDs, its role for regulation of CE-rich LDs is unclear. To investigate the role of Plin2 in the regulation of CE-rich LDs, we performed histological and molecular characterization of adrenal glands from Plin2
+/+ and Plin2-/- mice. Adrenal glands of Plin2-/- mice had significantly enlarged organ size, increased size and numbers of CE-rich LDs in cortical cells, elevated cellular unesterified cholesterol levels, and increased expression of macrophage markers and genes facilitating reverse cholesterol transport. Despite altered LD storage, mobilization of adrenal LDs and secretion of corticosterone induced by adrenocorticotropic hormone stimulation or starvation were similar in Plin2+/+ and Plin2-/- mice. Plin2-/- adrenals accumulated ceroid-like structures rich in multilamellar bodies in the adrenal cortex-medulla boundary, which increased with age, particularly in females. Finally, Plin2-/- mice displayed unexpectedly high levels of phosphatidylglycerols, which directly paralleled the accumulation of these ceroid-like structures. Our findings demonstrate an important role of Plin2 for regulation of CE-rich LDs and cellular cholesterol balance in the adrenal cortex., Competing Interests: Conflict of interest C. A. D. is a founder, shareholder, board member, and consultant in Vitas Ltd. T. B. is an employee and a shareholder of Vitas Ltd. All other authors declare that they have no conflicts of interest with the contents of this article., (Copyright © 2021 The Authors. Published by Elsevier Inc. All rights reserved.)- Published
- 2021
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31. Estrogen receptor α controls metabolism in white and brown adipocytes by regulating Polg1 and mitochondrial remodeling.
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Zhou Z, Moore TM, Drew BG, Ribas V, Wanagat J, Civelek M, Segawa M, Wolf DM, Norheim F, Seldin MM, Strumwasser AR, Whitney KA, Lester E, Reddish BR, Vergnes L, Reue K, Rajbhandari P, Tontonoz P, Lee J, Mahata SK, Hewitt SC, Shirihai O, Gastonbury C, Small KS, Laakso M, Jensen J, Lee S, Drevon CA, Korach KS, Lusis AJ, and Hevener AL
- Subjects
- Adipocytes, White metabolism, Adipose Tissue, Brown metabolism, Animals, Female, Mice, Mitochondria metabolism, Mitochondrial Proteins metabolism, Thermogenesis, Uncoupling Protein 1 genetics, Uncoupling Protein 1 metabolism, Adipocytes, Brown metabolism, Estrogen Receptor alpha genetics, Estrogen Receptor alpha metabolism
- Abstract
Obesity is heightened during aging, and although the estrogen receptor α (ERα) has been implicated in the prevention of obesity, its molecular actions in adipocytes remain inadequately understood. Here, we show that adipose tissue ESR1/Esr1 expression inversely associated with adiposity and positively associated with genes involved in mitochondrial metabolism and markers of metabolic health in 700 Finnish men and 100 strains of inbred mice from the UCLA Hybrid Mouse Diversity Panel. To determine the anti-obesity actions of ERα in fat, we selectively deleted Esr1 from white and brown adipocytes in mice. In white adipose tissue, Esr1 controlled oxidative metabolism by restraining the targeted elimination of mitochondria via the E3 ubiquitin ligase parkin. mtDNA content was elevated, and adipose tissue mass was reduced in adipose-selective parkin knockout mice. In brown fat centrally involved in body temperature maintenance, Esr1 was requisite for both mitochondrial remodeling by dynamin-related protein 1 (Drp1) and uncoupled respiration thermogenesis by uncoupled protein 1 (Ucp1). In both white and brown fat of female mice and adipocytes in culture, mitochondrial dysfunction in the context of Esr1 deletion was paralleled by a reduction in the expression of the mtDNA polymerase γ subunit Polg1 We identified Polg1 as an ERα target gene by showing that ERα binds the Polg1 promoter to control its expression in 3T3L1 adipocytes. These findings support strategies leveraging ERα action on mitochondrial function in adipocytes to combat obesity and metabolic dysfunction., (Copyright © 2020 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works.)
- Published
- 2020
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32. Effects of dietary methionine and cysteine restriction on plasma biomarkers, serum fibroblast growth factor 21, and adipose tissue gene expression in women with overweight or obesity: a double-blind randomized controlled pilot study.
- Author
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Olsen T, Øvrebø B, Haj-Yasein N, Lee S, Svendsen K, Hjorth M, Bastani NE, Norheim F, Drevon CA, Refsum H, and Vinknes KJ
- Subjects
- Adipose Tissue, Biomarkers, Diet, Fibroblast Growth Factors, Gene Expression, Humans, Obesity genetics, Overweight genetics, Pilot Projects, Cysteine, Methionine
- Abstract
Background: Dietary restriction of methionine and cysteine is a well-described model that improves metabolic health in rodents. To investigate the translational potential in humans, we evaluated the effects of dietary methionine and cysteine restriction on cardiometabolic risk factors, plasma and urinary amino acid profile, serum fibroblast growth factor 21 (FGF21), and subcutaneous adipose tissue gene expression in women with overweight and obesity in a double-blind randomized controlled pilot study., Methods: Twenty women with overweight or obesity were allocated to a diet low (Met/Cys
-low, n = 7), medium (Met/Cys-medium, n = 7) or high (Met/Cys-high, n = 6) in methionine and cysteine for 7 days. The diets differed only by methionine and cysteine content. Blood and urine were collected at day 0, 1, 3 and 7 and subcutaneous adipose tissue biopsies were taken at day 0 and 7., Results: Plasma methionine and cystathionine and urinary total cysteine decreased, whereas FGF21 increased in the Met/Cys-low vs. Met/Cys-high group. The Met/Cys-low group had increased mRNA expression of lipogenic genes in adipose tissue including DGAT1. When we excluded one participant with high fasting insulin at baseline, the Met/Cys-low group showed increased expression of ACAC, DGAT1, and tendencies for increased expression of FASN and SCD1 compared to the Met/Cys-high group. The participants reported satisfactory compliance and that the diets were moderately easy to follow., Conclusions: Our data suggest that dietary methionine and cysteine restriction may have beneficial effects on circulating biomarkers, including FGF21, and influence subcutaneous adipose tissue gene expression. These results will aid in the design and implementation of future large-scale dietary interventions with methionine and cysteine restriction. Trial registration ClinicalTrials.gov Identifier: NCT03629392, registration date: 14/08/2018 https://clinicaltrials.gov/ct2/show/NCT03629392.- Published
- 2020
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33. Effects of long-term exercise on plasma adipokine levels and inflammation-related gene expression in subcutaneous adipose tissue in sedentary dysglycaemic, overweight men and sedentary normoglycaemic men of healthy weight.
- Author
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Lee S, Norheim F, Langleite TM, Gulseth HL, Birkeland KI, and Drevon CA
- Subjects
- Adipose Tissue, White metabolism, Adult, Blood Glucose metabolism, Female, Humans, Male, Middle Aged, Overweight physiopathology, Oxygen metabolism, Oxygen Consumption physiology, Principal Component Analysis, RNA, Messenger metabolism, Sedentary Behavior, Subcutaneous Fat metabolism, Adipokines blood, Exercise physiology, Inflammation blood
- Abstract
Aims/hypothesis: Obesity and insulin resistance may be associated with altered expression and secretion of adipokines. Physical activity can markedly improve insulin sensitivity, but the association with adipokines remains largely unknown. In this study, we examined the effects of physical activity on the subcutaneous white adipose tissue (scWAT) secretome and its relationship to insulin sensitivity., Methods: As reported previously, we enrolled 26 sedentary, middle-aged men (13 dysglycaemic and overweight; 13 normoglycaemic and of healthy weight) into a 12 week, supervised, intensive physical exercise intervention that included two endurance and two resistance sessions each week. Insulin sensitivity was measured as the glucose infusion rate from a euglycaemic-hyperinsulinaemic clamp. In our previous study, we measured maximum oxygen uptake, upper- and lower-body strength and a range of circulating biomarkers, and quantified adipose tissue depots using MRI and magnetic resonance spectroscopy. We have now performed global mRNA sequencing, microarrays and RT-PCR of scWAT and skeletal muscle biopsies, and quantified selected plasma adipokines by ELISA., Results: Insulin sensitivity increased similarly in both dysglycaemic (45%) and normoglycaemic (38%) men after 12 weeks of exercise, as reported previously. mRNA sequencing of scWAT revealed 90 transcripts that responded to exercise in dysglycaemic men, whereas only marginal changes were observed in normoglycaemic men. These results were validated using microarrays and RT-PCR. A total of 62 out of 90 transcripts encoded secreted proteins. Overall, 17 transcripts were upregulated and 73 transcripts were downregulated. Downregulated transcripts included several macrophage markers, and were associated with inflammatory and immune-related pathways. Levels of these immune-related transcripts were enhanced in dysglycaemic men vs normoglycaemic men at baseline, but were normalised after the exercise intervention. Principal component and correlation analyses revealed inverse correlations between levels of these immune-related transcripts and insulin sensitivity at baseline, after the intervention, and for the change between baseline and after the intervention. In addition, levels of these transcripts at baseline could predict exercise-induced improvements in insulin sensitivity. Adipokine levels in scWAT (but not in skeletal muscle) were significantly correlated with corresponding plasma adipokine concentrations, as exemplified by leptin, high-molecular-weight adiponectin and secreted frizzled-related protein 4 (SFRP4). SFRP4 mRNA was the most exercise-responsive transcript in scWAT from dysglycaemic men, and plasma SFRP4 concentrations were reduced in dysglycaemic men, but not in normoglycaemic men, after 12 weeks of exercise., Conclusions/interpretation: This study indicates that scWAT may be an important mediator of exercise-induced improvements in insulin sensitivity, especially in overweight dysglycaemic individuals at increased risk of developing type 2 diabetes.
- Published
- 2019
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34. Gene-by-Sex Interactions in Mitochondrial Functions and Cardio-Metabolic Traits.
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Norheim F, Hasin-Brumshtein Y, Vergnes L, Chella Krishnan K, Pan C, Seldin MM, Hui ST, Mehrabian M, Zhou Z, Gupta S, Parks BW, Walch A, Reue K, Hofmann SM, Arnold AP, and Lusis AJ
- Subjects
- Adipose Tissue metabolism, Adipose Tissue pathology, Animals, Cardiovascular Diseases pathology, Female, Insulin Resistance, Male, Mice, Mice, Inbred Strains, Mice, Transgenic, Obesity metabolism, Obesity pathology, Phenotype, Principal Component Analysis, Sex Characteristics, Cardiovascular Diseases metabolism, Mitochondria metabolism
- Abstract
We studied sex differences in over 50 cardio-metabolic traits in a panel of 100 diverse inbred strains of mice. The results clearly showed that the effects of sex on both clinical phenotypes and gene expression depend on the genetic background. In support of this, genetic loci associated with the traits frequently showed sex specificity. For example, Lyplal1, a gene implicated in human obesity, was shown to underlie a sex-specific locus for diet-induced obesity. Global gene expression analyses of tissues across the panel implicated adipose tissue "beiging" and mitochondrial functions in the sex differences. Isolated mitochondria showed gene-by-sex interactions in oxidative functions, such that some strains (C57BL/6J) showed similar function between sexes, whereas others (DBA/2J and A/J) showed increased function in females. Reduced adipose mitochondrial function in males as compared to females was associated with increased susceptibility to obesity and insulin resistance. Gonadectomy studies indicated that gonadal hormones acting in a tissue-specific manner were responsible in part for the sex differences., (Copyright © 2018 Elsevier Inc. All rights reserved.)
- Published
- 2019
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35. The impact of exercise on mitochondrial dynamics and the role of Drp1 in exercise performance and training adaptations in skeletal muscle.
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Moore TM, Zhou Z, Cohn W, Norheim F, Lin AJ, Kalajian N, Strumwasser AR, Cory K, Whitney K, Ho T, Ho T, Lee JL, Rucker DH, Shirihai O, van der Bliek AM, Whitelegge JP, Seldin MM, Lusis AJ, Lee S, Drevon CA, Mahata SK, Turcotte LP, and Hevener AL
- Subjects
- Adaptation, Physiological, Adult, Aged, Animals, Blood Glucose metabolism, Dynamins genetics, Female, Gene Deletion, Humans, Male, Mice, Mice, Inbred BALB C, Mice, Inbred C3H, Mice, Inbred C57BL, Middle Aged, Phosphorylation, Physical Endurance, Dynamins metabolism, GTP Phosphohydrolases metabolism, Microtubule-Associated Proteins metabolism, Mitochondria metabolism, Mitochondrial Dynamics physiology, Mitochondrial Proteins metabolism, Muscle, Skeletal physiology, Physical Conditioning, Animal physiology, Physical Functional Performance
- Abstract
Objective: Mitochondria are organelles primarily responsible for energy production, and recent evidence indicates that alterations in size, shape, location, and quantity occur in response to fluctuations in energy supply and demand. We tested the impact of acute and chronic exercise on mitochondrial dynamics signaling and determined the impact of the mitochondrial fission regulator Dynamin related protein (Drp)1 on exercise performance and muscle adaptations to training., Methods: Wildtype and muscle-specific Drp1 heterozygote (mDrp1
+/- ) mice, as well as dysglycemic (DG) and healthy normoglycemic men (control) performed acute and chronic exercise. The Hybrid Mouse Diversity Panel, including 100 murine strains of recombinant inbred mice, was used to identify muscle Dnm1L (encodes Drp1)-gene relationships., Results: Endurance exercise impacted all aspects of the mitochondrial life cycle, i.e. fission-fusion, biogenesis, and mitophagy. Dnm1L gene expression and Drp1Ser616 phosphorylation were markedly increased by acute exercise and declined to baseline during post-exercise recovery. Dnm1L expression was strongly associated with transcripts known to regulate mitochondrial metabolism and adaptations to exercise. Exercise increased the expression of DNM1L in skeletal muscle of healthy control and DG subjects, despite a 15% ↓(P = 0.01) in muscle DNM1L expression in DG at baseline. To interrogate the role of Dnm1L further, we exercise trained male mDrp1+/- mice and found that Drp1 deficiency reduced muscle endurance and running performance, and altered muscle adaptations in response to exercise training., Conclusion: Our findings highlight the importance of mitochondrial dynamics, specifically Drp1 signaling, in the regulation of exercise performance and adaptations to endurance exercise training., (Copyright © 2018 The Authors. Published by Elsevier GmbH.. All rights reserved.)- Published
- 2019
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36. The Genetic Architecture of Diet-Induced Hepatic Fibrosis in Mice.
- Author
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Hui ST, Kurt Z, Tuominen I, Norheim F, C Davis R, Pan C, Dirks DL, Magyar CE, French SW, Chella Krishnan K, Sabir S, Campos-Pérez F, Méndez-Sánchez N, Macías-Kauffer L, León-Mimila P, Canizales-Quinteros S, Yang X, Beaven SW, Huertas-Vazquez A, and Lusis AJ
- Subjects
- Amino Acids metabolism, Animals, Cholesterol metabolism, Dietary Fats adverse effects, Fatty Acids metabolism, Female, Gene Expression Profiling, Genome-Wide Association Study, Humans, Hyperlipidemias complications, Liver metabolism, Male, Mice, Inbred C57BL, Mice, Transgenic, Apolipoprotein E3 genetics, Cholesterol Ester Transfer Proteins genetics, Disease Models, Animal, Liver Cirrhosis genetics, Non-alcoholic Fatty Liver Disease genetics
- Abstract
We report the genetic analysis of a "humanized" hyperlipidemic mouse model for progressive nonalcoholic steatohepatitis (NASH) and fibrosis. Mice carrying transgenes for human apolipoprotein E*3-Leiden and cholesteryl ester transfer protein and fed a "Western" diet were studied on the genetic backgrounds of over 100 inbred mouse strains. The mice developed hepatic inflammation and fibrosis that was highly dependent on genetic background, with vast differences in the degree of fibrosis. Histological analysis showed features characteristic of human NASH, including macrovesicular steatosis, hepatocellular ballooning, inflammatory foci, and pericellular collagen deposition. Time course experiments indicated that while hepatic triglyceride levels increased steadily on the diet, hepatic fibrosis occurred at about 12 weeks. We found that the genetic variation predisposing to NASH and fibrosis differs markedly from that predisposing to simple steatosis, consistent with a multistep model in which distinct genetic factors are involved. Moreover, genome-wide association identified distinct genetic loci contributing to steatosis and NASH. Finally, we used hepatic expression data from the mouse panel and from 68 bariatric surgery patients with normal liver, steatosis, or NASH to identify enriched biological pathways. Conclusion: The pathways showed substantial overlap between our mouse model and the human disease., (© 2018 The Authors. Hepatology published by Wiley Periodicals, Inc. on behalf of American Association for the Study of Liver Diseases.)
- Published
- 2018
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37. Tissue-specific pathways and networks underlying sexual dimorphism in non-alcoholic fatty liver disease.
- Author
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Kurt Z, Barrere-Cain R, LaGuardia J, Mehrabian M, Pan C, Hui ST, Norheim F, Zhou Z, Hasin Y, Lusis AJ, and Yang X
- Subjects
- Animals, Castration, Female, Genomics, Lipid Metabolism, Male, Mice, Inbred C57BL, Non-alcoholic Fatty Liver Disease metabolism, Signal Transduction, Transcriptome, Adipose Tissue metabolism, Liver metabolism, Non-alcoholic Fatty Liver Disease genetics, Sex Characteristics
- Abstract
Background: Non-alcoholic fatty liver disease (NAFLD) encompasses benign steatosis and more severe conditions such as non-alcoholic steatohepatitis (NASH), cirrhosis, and liver cancer. This chronic liver disease has a poorly understood etiology and demonstrates sexual dimorphisms. We aim to examine the molecular mechanisms underlying sexual dimorphisms in NAFLD pathogenesis through a comprehensive multi-omics study. We integrated genomics (DNA variations), transcriptomics of liver and adipose tissue, and phenotypic data of NAFLD derived from female mice of ~ 100 strains included in the hybrid mouse diversity panel (HMDP) and compared the NAFLD molecular pathways and gene networks between sexes., Results: We identified both shared and sex-specific biological processes for NAFLD. Adaptive immunity, branched chain amino acid metabolism, oxidative phosphorylation, and cell cycle/apoptosis were shared between sexes. Among the sex-specific pathways were vitamins and cofactors metabolism and ion channel transport for females, and phospholipid, lysophospholipid, and phosphatidylinositol metabolism and insulin signaling for males. Additionally, numerous lipid and insulin-related pathways and inflammatory processes in the adipose and liver tissue appeared to show more prominent association with NAFLD in male HMDP. Using data-driven network modeling, we identified plausible sex-specific and tissue-specific regulatory genes as well as those that are shared between sexes. These key regulators orchestrate the NAFLD pathways in a sex- and tissue-specific manner. Gonadectomy experiments support that sex hormones may partially underlie the sexually dimorphic genes and pathways involved in NAFLD., Conclusions: Our multi-omics integrative study reveals sex- and tissue-specific genes, processes, and networks underlying sexual dimorphism in NAFLD and may facilitate sex-specific precision medicine.
- Published
- 2018
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38. Genetic, dietary, and sex-specific regulation of hepatic ceramides and the relationship between hepatic ceramides and IR.
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Norheim F, Bjellaas T, Hui ST, Chella Krishnan K, Lee J, Gupta S, Pan C, Hasin-Brumshtein Y, Parks BW, Li DY, Bui HH, Mosier M, Wu Y, Huertas-Vazquez A, Hazen SL, Gundersen TE, Mehrabian M, Tang WHW, Hevener AL, Drevon CA, and Lusis AJ
- Subjects
- Animals, Ceramides biosynthesis, Female, Liver drug effects, Male, Mice, Testosterone pharmacology, Ceramides metabolism, Diet, Insulin Resistance genetics, Insulin Resistance physiology, Liver metabolism, Sex Characteristics
- Abstract
Elevated hepatic ceramide levels have been implicated in both insulin resistance (IR) and hepatic steatosis. To understand the factors contributing to hepatic ceramide levels in mice of both sexes, we have quantitated ceramides in a reference population of mice, the Hybrid Mouse Diversity Panel that has been previously characterized for a variety of metabolic syndrome traits. We observed significant positive correlations between Cer(d18:1/16:0) and IR/hepatic steatosis, consistent with previous findings, although the relationship broke down between sexes, as females were less insulin resistant, but had higher Cer(d18:1/16:0) levels than males. The sex difference was due in part to testosterone-mediated repression of ceramide synthase 6. One ceramide species, Cer(d18:1/20:0), was present at higher levels in males and was associated with IR only in males. Clear evidence of gene-by-sex and gene-by-diet interactions was observed, including sex-specific genome-wide association study results. Thus, our studies show clear differences in how hepatic ceramides are regulated between the sexes, which again suggests that the physiological roles of certain hepatic ceramides differ between the sexes., (Copyright © 2018 by the American Society for Biochemistry and Molecular Biology, Inc.)
- Published
- 2018
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39. Author Correction: Skeletal muscle phosphatidylcholine and phosphatidylethanolamine respond to exercise and influence insulin sensitivity in men.
- Author
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Lee S, Norheim F, Gulseth HL, Langleite TM, Aker A, Gundersen TE, Holen T, Birkeland KI, and Drevon CA
- Abstract
A correction to this article has been published and is linked from the HTML and PDF versions of this paper. The error has not been fixed in the paper.
- Published
- 2018
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40. A Strategy for Discovery of Endocrine Interactions with Application to Whole-Body Metabolism.
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Seldin MM, Koplev S, Rajbhandari P, Vergnes L, Rosenberg GM, Meng Y, Pan C, Phuong TMN, Gharakhanian R, Che N, Mäkinen S, Shih DM, Civelek M, Parks BW, Kim ED, Norheim F, Chella Krishnan K, Hasin-Brumshtein Y, Mehrabian M, Laakso M, Drevon CA, Koistinen HA, Tontonoz P, Reue K, Cantor RM, Björkegren JLM, and Lusis AJ
- Subjects
- Adipose Tissue metabolism, Animals, Cells, Cultured, Mice, Mice, Inbred C57BL, Mitochondria metabolism, Mitochondrial Proteins metabolism, Muscle, Skeletal metabolism, Endocrine System metabolism, Homeostasis, Lipocalins metabolism, Proteomics methods
- Abstract
Inter-tissue communication via secreted proteins has been established as a vital mechanism for proper physiologic homeostasis. Here, we report a bioinformatics framework using a mouse reference population, the Hybrid Mouse Diversity Panel (HMDP), which integrates global multi-tissue expression data and publicly available resources to identify and functionally annotate novel circuits of tissue-tissue communication. We validate this method by showing that we can identify known as well as novel endocrine factors responsible for communication between tissues. We further show the utility of this approach by identification and mechanistic characterization of two new endocrine factors. Adipose-derived Lipocalin-5 is shown to enhance skeletal muscle mitochondrial function, and liver-secreted Notum promotes browning of white adipose tissue, also known as "beiging." We demonstrate the general applicability of the method by providing in vivo evidence for three additional novel molecules mediating tissue-tissue interactions., (Copyright © 2018 Elsevier Inc. All rights reserved.)
- Published
- 2018
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41. Skeletal muscle phosphatidylcholine and phosphatidylethanolamine respond to exercise and influence insulin sensitivity in men.
- Author
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Lee S, Norheim F, Gulseth HL, Langleite TM, Aker A, Gundersen TE, Holen T, Birkeland KI, and Drevon CA
- Subjects
- Glucose Clamp Technique methods, Humans, Lipid Droplets metabolism, Male, Mitochondria metabolism, Oxidative Phosphorylation, Oxygen metabolism, Oxygen Consumption physiology, TOR Serine-Threonine Kinases metabolism, Exercise physiology, Insulin metabolism, Insulin Resistance physiology, Muscle, Skeletal metabolism, Phosphatidylcholines metabolism, Phosphatidylethanolamines metabolism
- Abstract
Phosphatidylcholine (PC) and phosphatidylethanolamine (PE) composition in skeletal muscle have been linked to insulin sensitivity. We evaluated the relationships between skeletal muscle PC:PE, physical exercise and insulin sensitivity. We performed lipidomics and measured PC and PE in m. vastus lateralis biopsies obtained from 13 normoglycemic normal weight men and 13 dysglycemic overweight men at rest, immediately after 45 min of cycling at 70% maximum oxygen uptake, and 2 h post-exercise, before as well as after 12 weeks of combined endurance- and strength-exercise intervention. Insulin sensitivity was monitored by euglycemic-hyperinsulinemic clamp. RNA-sequencing was performed on biopsies, and mitochondria and lipid droplets were quantified on electron microscopic images. Exercise intervention for 12 w enhanced insulin sensitivity by 33%, skeletal muscle levels of PC by 21%, PE by 42%, and reduced PC:PE by 16%. One bicycle session reduced PC:PE by 5%. PC:PE correlated negatively with insulin sensitivity (β = -1.6, P < 0.001), percent area of mitochondria (ρ = -0.52, P = 0.035), and lipid droplet area (ρ = 0.55, P = 0.017) on EM pictures, and negatively with oxidative phosphorylation and mTOR based on RNA-sequencing. In conclusion, PC and PE contents of skeletal muscle respond to exercise, and PC:PE is inversely related to insulin sensitivity.
- Published
- 2018
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42. Organic cation transporter 1 (OCT1) modulates multiple cardiometabolic traits through effects on hepatic thiamine content.
- Author
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Liang X, Yee SW, Chien HC, Chen EC, Luo Q, Zou L, Piao M, Mifune A, Chen L, Calvert ME, King S, Norheim F, Abad J, Krauss RM, and Giacomini KM
- Subjects
- Animals, Blood Glucose metabolism, Cholesterol, HDL blood, Cholesterol, LDL blood, Diabetes Mellitus, Experimental metabolism, Diabetes Mellitus, Experimental pathology, Diabetes Mellitus, Type 2 metabolism, Diabetes Mellitus, Type 2 pathology, Fatty Acids metabolism, Gene Expression Regulation, Gluconeogenesis genetics, Humans, Ketone Oxidoreductases genetics, Ketone Oxidoreductases metabolism, Lipid Metabolism genetics, Liver metabolism, Liver pathology, Mice, Mice, Knockout, Obesity metabolism, Obesity pathology, Octamer Transcription Factor-1 deficiency, Signal Transduction, Thiamine Deficiency metabolism, Thiamine Deficiency pathology, Triglycerides blood, Diabetes Mellitus, Experimental genetics, Diabetes Mellitus, Type 2 genetics, Longevity genetics, Obesity genetics, Octamer Transcription Factor-1 genetics, Thiamine metabolism, Thiamine Deficiency genetics
- Abstract
A constellation of metabolic disorders, including obesity, dysregulated lipids, and elevations in blood glucose levels, has been associated with cardiovascular disease and diabetes. Analysis of data from recently published genome-wide association studies (GWAS) demonstrated that reduced-function polymorphisms in the organic cation transporter, OCT1 (SLC22A1), are significantly associated with higher total cholesterol, low-density lipoprotein (LDL) cholesterol, and triglyceride (TG) levels and an increased risk for type 2 diabetes mellitus, yet the mechanism linking OCT1 to these metabolic traits remains puzzling. Here, we show that OCT1, widely characterized as a drug transporter, plays a key role in modulating hepatic glucose and lipid metabolism, potentially by mediating thiamine (vitamin B1) uptake and hence its levels in the liver. Deletion of Oct1 in mice resulted in reduced activity of thiamine-dependent enzymes, including pyruvate dehydrogenase (PDH), which disrupted the hepatic glucose-fatty acid cycle and shifted the source of energy production from glucose to fatty acids, leading to a reduction in glucose utilization, increased gluconeogenesis, and altered lipid metabolism. In turn, these effects resulted in increased total body adiposity and systemic levels of glucose and lipids. Importantly, wild-type mice on thiamine deficient diets (TDs) exhibited impaired glucose metabolism that phenocopied Oct1 deficient mice. Collectively, our study reveals a critical role of hepatic thiamine deficiency through OCT1 deficiency in promoting the metabolic inflexibility that leads to the pathogenesis of cardiometabolic disease.
- Published
- 2018
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43. Integration of Multi-omics Data from Mouse Diversity Panel Highlights Mitochondrial Dysfunction in Non-alcoholic Fatty Liver Disease.
- Author
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Chella Krishnan K, Kurt Z, Barrere-Cain R, Sabir S, Das A, Floyd R, Vergnes L, Zhao Y, Che N, Charugundla S, Qi H, Zhou Z, Meng Y, Pan C, Seldin MM, Norheim F, Hui S, Reue K, Lusis AJ, and Yang X
- Subjects
- Animals, Databases, Genetic, Gene Expression Profiling methods, Gene Regulatory Networks genetics, Genomics methods, HEK293 Cells, Humans, Insulin Resistance, Lipid Metabolism, Liver metabolism, Male, Mice, Mice, Inbred C57BL, Mice, Inbred Strains genetics, Mitochondria metabolism, Non-alcoholic Fatty Liver Disease metabolism, Obesity metabolism, Polymorphism, Single Nucleotide genetics, Proteomics methods, Ribosomal Proteins genetics, Transcriptome, Non-alcoholic Fatty Liver Disease etiology, Non-alcoholic Fatty Liver Disease genetics
- Abstract
The etiology of non-alcoholic fatty liver disease (NAFLD), the most common form of chronic liver disease, is poorly understood. To understand the causal mechanisms underlying NAFLD, we conducted a multi-omics, multi-tissue integrative study using the Hybrid Mouse Diversity Panel, consisting of ∼100 strains of mice with various degrees of NAFLD. We identified both tissue-specific biological processes and processes that were shared between adipose and liver tissues. We then used gene network modeling to predict candidate regulatory genes of these NAFLD processes, including Fasn, Thrsp, Pklr, and Chchd6. In vivo knockdown experiments of the candidate genes improved both steatosis and insulin resistance. Further in vitro testing demonstrated that downregulation of both Pklr and Chchd6 lowered mitochondrial respiration and led to a shift toward glycolytic metabolism, thus highlighting mitochondria dysfunction as a key mechanistic driver of NAFLD., (Copyright © 2017 Elsevier Inc. All rights reserved.)
- Published
- 2018
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44. Interaction between plasma fetuin-A and free fatty acids predicts changes in insulin sensitivity in response to long-term exercise.
- Author
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Lee S, Norheim F, Gulseth HL, Langleite TM, Kolnes KJ, Tangen DS, Stadheim HK, Gilfillan GD, Holen T, Birkeland KI, Jensen J, and Drevon CA
- Subjects
- Adiponectin blood, Glucose Clamp Technique, Humans, Insulin Resistance physiology, Leptin blood, Male, Middle Aged, Physical Endurance physiology, Resistance Training, Toll-Like Receptor 4 metabolism, Blood Glucose metabolism, Exercise physiology, Fatty Acids, Nonesterified blood, Muscle, Skeletal physiology, alpha-2-HS-Glycoprotein metabolism
- Abstract
The hepatokine fetuin-A can together with free fatty acids (FFAs) enhance adipose tissue (AT) inflammation and insulin resistance via toll-like receptor 4 (TLR4). Although some of the health benefits of exercise can be explained by altered release of myokines from the skeletal muscle, it is not well documented if some of the beneficial effects of exercise can be explained by altered secretion of hepatokines. The aim of this study was to examine the effect of interaction between fetuin-A and FFAs on insulin sensitivity after physical exercise. In this study, 26 sedentary men who underwent 12 weeks of combined endurance and strength exercise were included. Insulin sensitivity was measured using euglycemic-hyperinsulinemic clamp, and AT insulin resistance was indicated by the product of fasting plasma concentration of FFAs and insulin. Blood samples and biopsies from skeletal muscle and subcutaneous AT were collected. Several phenotypic markers were measured, and mRNA sequencing was performed on the biopsies. AT macrophages were analyzed based on mRNA markers. The intervention improved hepatic parameters, reduced plasma fetuin-A concentration (~11%, P < 0.01), slightly changed FFAs concentration, and improved glucose infusion rate (GIR) (~33%, P < 0.01) across all participants. The change in circulating fetuin-A and FFAs interacted to predict some of the change in GIR ( β = -42.16, P = 0.030), AT insulin resistance ( β = 0.579, P = 0.003), gene expression related to TLR-signaling in AT and AT macrophage mRNA ( β = 94.10, P = 0.034) after exercise. We observed no interaction effects between FFAs concentrations and leptin and adiponectin on insulin sensitivity, or any interaction effects between Fetuin-A and FFAs concentrations on skeletal muscle TLR-signaling. The relationship between FFAs levels and insulin sensitivity seemed to be specific for fetuin-A and the AT Some of the beneficial effects of exercise on insulin sensitivity may be explained by changes in circulating fetuin-A and FFAs, promoting less TLR4 signaling in AT perhaps by modulating AT macrophages., (© 2017 The Authors. Physiological Reports published by Wiley Periodicals, Inc. on behalf of The Physiological Society and the American Physiological Society.)
- Published
- 2017
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45. Genetic and hormonal control of hepatic steatosis in female and male mice.
- Author
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Norheim F, Hui ST, Kulahcioglu E, Mehrabian M, Cantor RM, Pan C, Parks BW, and Lusis AJ
- Subjects
- Animals, Diet, High-Fat, Fatty Liver blood, Fatty Liver pathology, Female, Genome-Wide Association Study, Hormones genetics, Hormones metabolism, Hyperlipidemias blood, Hyperlipidemias genetics, Hyperlipidemias pathology, Insulin Resistance genetics, Liver metabolism, Liver pathology, Male, Mice, Non-alcoholic Fatty Liver Disease blood, Non-alcoholic Fatty Liver Disease pathology, Obesity blood, Obesity pathology, Polymorphism, Single Nucleotide genetics, Sex Characteristics, Fatty Liver genetics, Lipoproteins, HDL genetics, Non-alcoholic Fatty Liver Disease genetics, Obesity genetics, Triglycerides genetics
- Abstract
The etiology of nonalcoholic fatty liver disease is complex and influenced by factors such as obesity, insulin resistance, hyperlipidemia, and sex. We now report a study on sex difference in hepatic steatosis in the context of genetic variation using a population of inbred strains of mice. While male mice generally exhibited higher concentration of hepatic TG levels on a high-fat high-sucrose diet, sex differences showed extensive interaction with genetic variation. Differences in percentage body fat were the best predictor of hepatic steatosis among the strains and explained about 30% of the variation in both sexes. The difference in percent gonadal fat and HDL explained 9.6% and 6.7% of the difference in hepatic TGs between the sexes, respectively. Genome-wide association mapping of hepatic TG revealed some striking differences in genetic control of hepatic steatosis between females and males. Gonadectomy increased the hepatic TG to body fat percentage ratio among male, but not female, mice. Our data suggest that the difference between the sexes in hepatic TG can be partly explained by differences in body fat distribution, plasma HDL, and genetic regulation. Future studies are required to understand the molecular interactions between sex, genetics, and the environment., (Copyright © 2017 by the American Society for Biochemistry and Molecular Biology, Inc.)
- Published
- 2017
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46. Effect of energy restriction and physical exercise intervention on phenotypic flexibility as examined by transcriptomics analyses of mRNA from adipose tissue and whole body magnetic resonance imaging.
- Author
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Lee S, Norheim F, Langleite TM, Noreng HJ, Storås TH, Afman LA, Frost G, Bell JD, Thomas EL, Kolnes KJ, Tangen DS, Stadheim HK, Gilfillan GD, Gulseth HL, Birkeland KI, Jensen J, Drevon CA, and Holen T
- Subjects
- Adipose Tissue immunology, Adipose Tissue pathology, Body Weight, Energy Metabolism physiology, Fatty Acids, Nonesterified blood, Female, Humans, Inflammation immunology, Inflammation metabolism, Insulin metabolism, Insulin Resistance, Macrophages immunology, Macrophages metabolism, Magnetic Resonance Spectroscopy methods, Male, Middle Aged, Obesity immunology, Overweight, Physical Endurance physiology, Sedentary Behavior, T-Lymphocytes metabolism, Adipose Tissue metabolism, Energy Metabolism genetics, Exercise physiology, Exercise Therapy methods, Magnetic Resonance Imaging methods, Obesity metabolism, RNA, Messenger metabolism
- Abstract
Overweight and obesity lead to changes in adipose tissue such as inflammation and reduced insulin sensitivity. The aim of this study was to assess how altered energy balance by reduced food intake or enhanced physical activity affect these processes. We studied sedentary subjects with overweight/obesity in two intervention studies, each lasting 12 weeks affecting energy balance either by energy restriction (~20% reduced intake of energy from food) in one group, or by enhanced energy expenditure due to physical exercise (combined endurance- and strength-training) in the other group. We monitored mRNA expression by microarray and mRNA sequencing from adipose tissue biopsies. We also measured several plasma parameters as well as fat distribution with magnetic resonance imaging and spectroscopy. Comparison of microarray and mRNA sequencing showed strong correlations, which were also confirmed using RT-PCR In the energy restricted subjects (body weight reduced by 5% during a 12 weeks intervention), there were clear signs of enhanced lipolysis as monitored by mRNA in adipose tissue as well as plasma concentration of free-fatty acids. This increase was strongly related to increased expression of markers for M1-like macrophages in adipose tissue. In the exercising subjects (glucose infusion rate increased by 29% during a 12-week intervention), there was a marked reduction in the expression of markers of M2-like macrophages and T cells, suggesting that physical exercise was especially important for reducing inflammation in adipose tissue with insignificant reduction in total body weight. Our data indicate that energy restriction and physical exercise affect energy-related pathways as well as inflammatory processes in different ways, probably related to macrophages in adipose tissue., (© 2016 The Authors. Physiological Reports published by Wiley Periodicals, Inc. on behalf of the American Physiological Society and The Physiological Society.)
- Published
- 2016
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47. Insulin sensitivity, body composition and adipose depots following 12 w combined endurance and strength training in dysglycemic and normoglycemic sedentary men.
- Author
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Langleite TM, Jensen J, Norheim F, Gulseth HL, Tangen DS, Kolnes KJ, Heck A, Storås T, Grøthe G, Dahl MA, Kielland A, Holen T, Noreng HJ, Stadheim HK, Bjørnerud A, Johansen EI, Nellemann B, Birkeland KI, and Drevon CA
- Subjects
- Adult, Aged, Case-Control Studies, Humans, Male, Middle Aged, Adiposity, Body Composition, Exercise, Hyperglycemia physiopathology, Hypoglycemia physiopathology, Insulin Resistance, Resistance Training
- Abstract
Context: Insulin resistance and dysglycemia are associated with physical inactivity and adiposity, and may be improved by exercise., Objective: Investigate the effect of exercise on insulin sensitivity, body composition and adipose depots in sedentary men with (n = 11) or without (n = 11) overweight and dysglycemia., Material and Methods: Euglycemic-hyperinsulinemic clamp, ankle-to-neck MRI, MRS, muscle and adipose tissue biopsies before and after 12 weeks combined strength and endurance exercise., Results: Insulin sensitivity, VO
2 max, strength, whole-body and muscle fat content, and abdominal adipose depots were improved without obvious differences between normo- and dysglycemic men. Hepatic fat, waist circumference and subcutaneous adipose tissue were reduced in the dysglycemic group. For both groups plasma adiponectin was reduced, whereas IL-6 was unchanged. Visceral fat was preferentially lost compared with other adipose depots., Discussion and Conclusion: Body composition, fat distribution and insulin sensitivity improved following training in sedentary middle-aged men with and without dysglycemia.- Published
- 2016
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- View/download PDF
48. The Hybrid Mouse Diversity Panel: a resource for systems genetics analyses of metabolic and cardiovascular traits.
- Author
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Lusis AJ, Seldin MM, Allayee H, Bennett BJ, Civelek M, Davis RC, Eskin E, Farber CR, Hui S, Mehrabian M, Norheim F, Pan C, Parks B, Rau CD, Smith DJ, Vallim T, Wang Y, and Wang J
- Subjects
- Animals, Atherosclerosis genetics, Cardiovascular Diseases pathology, Genome-Wide Association Study, Heart Failure genetics, Humans, Hybridization, Genetic, Insulin Resistance genetics, Metabolic Diseases pathology, Mice, Microbiota genetics, Obesity genetics, Osteoporosis genetics, Quantitative Trait Loci genetics, Cardiovascular Diseases genetics, Disease Models, Animal, Metabolic Diseases genetics, Transcriptome genetics
- Abstract
The Hybrid Mouse Diversity Panel (HMDP) is a collection of approximately 100 well-characterized inbred strains of mice that can be used to analyze the genetic and environmental factors underlying complex traits. While not nearly as powerful for mapping genetic loci contributing to the traits as human genome-wide association studies, it has some important advantages. First, environmental factors can be controlled. Second, relevant tissues are accessible for global molecular phenotyping. Finally, because inbred strains are renewable, results from separate studies can be integrated. Thus far, the HMDP has been studied for traits relevant to obesity, diabetes, atherosclerosis, osteoporosis, heart failure, immune regulation, fatty liver disease, and host-gut microbiota interactions. High-throughput technologies have been used to examine the genomes, epigenomes, transcriptomes, proteomes, metabolomes, and microbiomes of the mice under various environmental conditions. All of the published data are available and can be readily used to formulate hypotheses about genes, pathways and interactions., (Copyright © 2016 by the American Society for Biochemistry and Molecular Biology, Inc.)
- Published
- 2016
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49. The effect of acute and long-term physical activity on extracellular matrix and serglycin in human skeletal muscle.
- Author
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Hjorth M, Norheim F, Meen AJ, Pourteymour S, Lee S, Holen T, Jensen J, Birkeland KI, Martinov VN, Langleite TM, Eckardt K, Drevon CA, and Kolset SO
- Abstract
Remodeling of extracellular matrix (ECM), including regulation of proteoglycans in skeletal muscle can be important for physiological adaptation to exercise. To investigate the effects of acute and long-term exercise on the expression of ECM-related genes and proteoglycans in particular, 26 middle-aged, sedentary men underwent a 12 weeks supervised endurance and strength training intervention and two acute, 45 min bicycle tests (70% VO2max), one at baseline and one after 12 weeks of training. Total gene expression in biopsies from m. vastus lateralis was measured with deep mRNA sequencing. After 45 min of bicycling approximately 550 gene transcripts were >50% upregulated. Of these, 28 genes (5%) were directly related to ECM. In response to long-term exercise of 12 weeks 289 genes exhibited enhanced expression (>50%) and 20% of them were ECM related. Further analyses of proteoglycan mRNA expression revealed that more than half of the proteoglycans expressed in muscle were significantly enhanced after 12 weeks intervention. The proteoglycan serglycin (SRGN) has not been studied in skeletal muscle and was one of few proteoglycans that showed increased expression after acute (2.2-fold, P < 0.001) as well as long-term exercise (1.4-fold, P < 0.001). Cultured, primary human skeletal muscle cells expressed and secreted SRGN. When the expression of SRGN was knocked down, the expression and secretion of serpin E1 (SERPINE1) increased. In conclusion, acute and especially long-term exercise promotes enhanced expression of several ECM components and proteoglycans. SRGN is a novel exercise-regulated proteoglycan in skeletal muscle with a potential role in exercise adaptation., (© 2015 The Authors. Physiological Reports published by Wiley Periodicals, Inc. on behalf of the American Physiological Society and The Physiological Society.)
- Published
- 2015
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50. Perilipin 4 in human skeletal muscle: localization and effect of physical activity.
- Author
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Pourteymour S, Lee S, Langleite TM, Eckardt K, Hjorth M, Bindesbøll C, Dalen KT, Birkeland KI, Drevon CA, Holen T, and Norheim F
- Abstract
Perilipins (PLINs) coat the surface of lipid droplets and are important for the regulation of lipid turnover. Knowledge about the physiological role of the individual PLINs in skeletal muscle is limited although lipid metabolism is very important for muscle contraction. To determine the effect of long-term exercise on PLINs expression, 26 middle-aged, sedentary men underwent 12 weeks combined endurance and strength training intervention. Muscle biopsies from m. vastus lateralis and subcutaneous adipose tissue were taken before and after the intervention and total gene expression was measured with deep mRNA sequencing. PLIN4 mRNA exhibited the highest expression of all five PLINs in both tissues, and the expression was significantly reduced after long-term exercise in skeletal muscle. Moreover, PLIN4 mRNA expression levels in muscle correlated with the expression of genes involved in de novo phospholipid biosynthesis, with muscular content of phosphatidylethanolamine and phosphatidylcholine, and with the content of subsarcolemmal lipid droplets. The PLIN4 protein was mainly located at the periphery of skeletal muscle fibers, with higher levels in slow-twitch as compared to fast-twitch skeletal muscle fibers. In summary, we report reduced expression of PLIN4 after long-term physical activity, and preferential slow-twitch skeletal muscle fibers and plasma membrane-associated PLIN4 location., (© 2015 The Authors. Physiological Reports published by Wiley Periodicals, Inc. on behalf of the American Physiological Society and The Physiological Society.)
- Published
- 2015
- Full Text
- View/download PDF
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