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2. New indices in predicting cardiometabolic risk and its relation to endothelial dysfunction in adolescents: The HELENA study.

Author

Nogueira, Maria D.A., Braga, Ribanna A.M., Manios, Yannis, Androutsos, Odysseas, Molnár, Dénes, Polito, Angela, Gómez-Martínez, Sonia, Béghin, Laurent, Widhalm, Kurt, Bueno, Gloria, Castillo, Manuel J., De Henauw, Stefaan, Moreno, Luis A., and Maia, Carla S.C.

Abstract

Blood pressure (BP) changes and insulin resistance (IR) are important cardiometabolic risk (CMR) factors; their early identification can contribute to the reduction of cardiovascular events in adulthood. This necessitates the search for more accessible and easily applied indicators for their prediction. Therefore, this study aimed to evaluate the predictive power of the indices, TyG, TG/HDL-c, height-corrected lipid accumulation product (HLAP), and visceral adiposity index (VAI), in identifying the CMR obtained by high BP and IR and to verify their relationship with biomarkers of endothelial dysfunction (ED) in European adolescents. The anthropometric data and blood biomarkers of 744 adolescents (343 boys and 401 girls) from the Healthy Lifestyle in Europe by Nutrition in Adolescence Cross-Sectional Study (HELENA-CSS), with a mean age of 14.67 (SD 1.15) years, were assessed. The adolescents were then classified according to the presence or absence of high BP and IR. The cut-off points of the indices evaluated for the identification of CMR were determined. The relationship between CMR diagnosed using these indices and ED biomarkers was tested. The HLAP and TG/HDL-c were fair predictors of CMR obtained by IR in male adolescents. These indices showed association with hsCRP in sVCAM-1 in boys, but it lost significance after adjusting for age and body mass index. TG/HDL-c and HLAP indices showed a fair performance in predicting CMR, obtained by IR, in male adolescents. ED showed no association with the CMR identified by the indices. • High blood pressure was considered cardiometabolic risk (CMR) indicator. • Insulin resistance was considered a CMR indicator. • Cut-off points for the prediction of CMR were identified for each index. • The HLAP and TG/HDL-c indices were fair predictors of CMR. • Endothelial dysfunction was not associated with CMR identified by the indices. [ABSTRACT FROM AUTHOR]

Published
2023
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6. Worldwide trends in hypertension prevalence and progress in treatment and control from 1990 to 2019: a pooled analysis of 1201 population-representative studies with 104 million participants

Author

Zhou, Bin, Carrillo-Larco, Rodrigo M, Danaei, Goodarz, Riley, Leanne M, Paciorek, Christopher J, Stevens, Gretchen A, Gregg, Edward W, Bennett, James E, Solomon, Bethlehem, Singleton, Rosie K, Sophiea, Marisa K, Iurilli, Maria LC, Lhoste, Victor PF, Cowan, Melanie J, Savin, Stefan, Woodward, Mark, Balanova, Yulia, Cifkova, Renata, Damasceno, Albertino, Elliott, Paul, Farzadfar, Farshad, He, Jiang, Ikeda, Nayu, Kengne, Andre P, Khang, Young-Ho, Kim, Hyeon Chang, Laxmaiah, Avula, Lin, Hsien-Ho, Margozzini Maira, Paula, Miranda, J Jaime, Neuhauser, Hannelore, Sundström, Johan, Varghese, Cherian, Widyahening, Indah S, Zdrojewski, Tomasz, Abarca-Gómez, Leandra, Abdeen, Ziad A, Abdul Rahim, Hanan F, Abu-Rmeileh, Niveen M, Acosta-Cazares, Benjamin, Adams, Robert J, Aekplakorn, Wichai, Afsana, Kaosar, Afzal, Shoaib, Agdeppa, Imelda A, Aghazadeh-Attari, Javad, Aguilar-Salinas, Carlos A, Agyemang, Charles, Ahmad, Noor Ani, Ahmadi, Ali, Ahmadi, Naser, Ahmadi, Nastaran, Ahmadizar, Fariba, Ahmed, Soheir H, Ahrens, Wolfgang, Ajlouni, Kamel, Al-Raddadi, Rajaa, Alarouj, Monira, AlBuhairan, Fadia, AlDhukair, Shahla, Ali, Mohamed M, Alkandari, Abdullah, Alkerwi, Ala'a, Allin, Kristine, Aly, Eman, Amarapurkar, Deepak N, Amougou, Norbert, Amouyel, Philippe, Andersen, Lars Bo, Anderssen, Sigmund A, Anjana, Ranjit Mohan, Ansari-Moghaddam, Alireza, Ansong, Daniel, Aounallah-Skhiri, Hajer, Araújo, Joana, Ariansen, Inger, Aris, Tahir, Arku, Raphael E, Arlappa, Nimmathota, Aryal, Krishna K, Aspelund, Thor, Assah, Felix K, Assunção, Maria Cecília F, Auvinen, Juha, Avdićová, Mária, Azevedo, Ana, Azimi-Nezhad, Mohsen, Azizi, Fereidoun, Azmin, Mehrdad, Babu, Bontha V, Bahijri, Suhad, Balakrishna, Nagalla, Bamoshmoosh, Mohamed, Banach, Maciej, Banadinović, Maja, Bandosz, Piotr, Banegas, José R, Baran, Joanna, Barbagallo, Carlo M, Barceló, Alberto, Barkat, Amina, Barreto, Marta, Barros, Aluisio JD, Barros, Mauro Virgílio Gomes, Bartosiewicz, Anna, Basit, Abdul, Bastos, Joao Luiz D, Bata, Iqbal, Batieha, Anwar M, Batyrbek, Assembekov, Baur, Louise A, Beaglehole, Robert, Belavendra, Antonisamy, Ben Romdhane, Habiba, Benet, Mikhail, Benson, Lowell S, Berkinbayev, Salim, Bernabe-Ortiz, Antonio, Bernotiene, Gailute, Bettiol, Heloísa, Bezerra, Jorge, Bhagyalaxmi, Aroor, Bhargava, Santosh K, Bia, Daniel, Biasch, Katia, Bika Lele, Elysée Claude, Bikbov, Mukharram M, Bista, Bihungum, Bjerregaard, Peter, Bjertness, Espen, Bjertness, Marius B, Björkelund, Cecilia, Bloch, Katia V, Blokstra, Anneke, Bo, Simona, Bobak, Martin, Boeing, Heiner, Boggia, Jose G, Boissonnet, Carlos P, Bojesen, Stig E, Bongard, Vanina, Bonilla-Vargas, Alice, Bopp, Matthias, Borghs, Herman, Bovet, Pascal, Boyer, Christopher B, Braeckman, Lutgart, Brajkovich, Imperia, Branca, Francesco, Breckenkamp, Juergen, Brenner, Hermann, Brewster, Lizzy M, Briceño, Yajaira, Brito, Miguel, Bruno, Graziella, Bueno-de-Mesquita, H Bas, Bueno, Gloria, Bugge, Anna, Burns, Con, Bursztyn, Michael, Cabrera de León, Antonio, Cacciottolo, Joseph, Cameron, Christine, Can, Günay, Cândido, Ana Paula C, Capanzana, Mario V, Čapková, Naděžda, Capuano, Eduardo, Capuano, Vincenzo, Cardoso, Viviane C, Carlsson, Axel C, Carvalho, Joana, Casanueva, Felipe F, Censi, Laura, Cervantes-Loaiza, Marvin, Chadjigeorgiou, Charalambos A, Chamukuttan, Snehalatha, Chan, Angelique W, Chan, Queenie, Chaturvedi, Himanshu K, Chaturvedi, Nish, Chee, Miao Li, Chen, Chien-Jen, Chen, Fangfang, Chen, Huashuai, Chen, Shuohua, Chen, Zhengming, Cheng, Ching-Yu, Cheraghian, Bahman, Cherkaoui Dekkaki, Imane, Chetrit, Angela, Chien, Kuo-Liong, Chiolero, Arnaud, Chiou, Shu-Ti, Chirita-Emandi, Adela, Chirlaque, María-Dolores, Cho, Belong, Christensen, Kaare, Christofaro, Diego G, Chudek, Jerzy, Cinteza, Eliza, Claessens, Frank, Clarke, Janine, Clays, Els, Cohen, Emmanuel, Concin, Hans, Cooper, Cyrus, Coppinger, Tara C, Costanzo, Simona, Cottel, Dominique, Cowell, Chris, Craig, Cora L, Crampin, Amelia C, Crujeiras, Ana B, Cruz, Juan J, Csilla, Semánová, Cui, Liufu, Cureau, Felipe V, Cuschieri, Sarah, D'Arrigo, Graziella, d'Orsi, Eleonora, Dallongeville, Jean, Dankner, Rachel, Dantoft, Thomas M, Dauchet, Luc, Davletov, Kairat, De Backer, Guy, De Bacquer, Dirk, De Curtis, Amalia, de Gaetano, Giovanni, De Henauw, Stefaan, de Oliveira, Paula Duarte, De Ridder, David, De Smedt, Delphine, Deepa, Mohan, Deev, Alexander D, DeGennaro, Vincent Jr, Delisle, Hélène, Demarest, Stefaan, Dennison, Elaine, Deschamps, Valérie, Dhimal, Meghnath, Di Castelnuovo, Augusto F, Dias-da-Costa, Juvenal Soares, Diaz, Alejandro, Dickerson, Ty T, Dika, Zivka, Djalalinia, Shirin, Do, Ha TP, Dobson, Annette J, Donfrancesco, Chiara, Donoso, Silvana P, Döring, Angela, Dorobantu, Maria, Dörr, Marcus, Doua, Kouamelan, Dragano, Nico, Drygas, Wojciech, Duante, Charmaine A, Duboz, Priscilla, Duda, Rosemary B, Dulskiene, Virginija, Dushpanova, Anar, Džakula, Aleksandar, Dzerve, Vilnis, Dziankowska-Zaborszczyk, Elzbieta, Eddie, Ricky, Eftekhar, Ebrahim, Eggertsen, Robert, Eghtesad, Sareh, Eiben, Gabriele, Ekelund, Ulf, El-Khateeb, Mohammad, El Ati, Jalila, Eldemire-Shearer, Denise, Eliasen, Marie, Elosua, Roberto, Erasmus, Rajiv T, Erbel, Raimund, Erem, Cihangir, Eriksen, Louise, Eriksson, Johan G, Escobedo-de la Peña, Jorge, Eslami, Saeid, Esmaeili, Ali, Evans, Alun, Faeh, David, Fakhretdinova, Albina A, Fall, Caroline H, Faramarzi, Elnaz, Farjam, Mojtaba, Fattahi, Mohammad Reza, Fawwad, Asher, Felix-Redondo, Francisco J, Felix, Stephan B, Ferguson, Trevor S, Fernandes, Romulo A, Fernández-Bergés, Daniel, Ferrante, Daniel, Ferrao, Thomas, Ferrari, Marika, Ferrario, Marco M, Ferreccio, Catterina, Ferreira, Haroldo S, Ferrer, Eldridge, Ferrieres, Jean, Figueiró, Thamara Hubler, Fink, Günther, Fischer, Krista, Foo, Leng Huat, Forsner, Maria, Fouad, Heba M, Francis, Damian K, Franco, Maria do Carmo, Frikke-Schmidt, Ruth, Frontera, Guillermo, Fuchs, Flavio D, Fuchs, Sandra C, Fujita, Yuki, Fumihiko, Matsuda, Furdela, Viktoriya, Furer, Ariel, Furusawa, Takuro, Gaciong, Zbigniew, Galbarczyk, Andrzej, Galenkamp, Henrike, Galvano, Fabio, Gao, Jingli, Gao, Pei, Garcia-de-la-Hera, Manoli, Garcia, Pablo, Gareta, Dickman, Garnett, Sarah P, Gaspoz, Jean-Michel, Gasull, Magda, Gazzinelli, Andrea, Gehring, Ulrike, Geleijnse, Johanna M, George, Ronnie, Ghanbari, Ali, Ghasemi, Erfan, Gheorghe-Fronea, Oana-Florentina, Ghimire, Anup, Gialluisi, Alessandro, Giampaoli, Simona, Gieger, Christian, Gill, Tiffany K, Giovannelli, Jonathan, Gironella, Glen, Giwercman, Aleksander, Gkiouras, Konstantinos, Goldberg, Marcel, Goldsmith, Rebecca A, Gomez, Luis F, Gomula, Aleksandra, Gonçalves, Helen, Gonçalves, Mauer, Gonçalves Cordeiro da Silva, Bruna, Gonzalez-Chica, David A, Gonzalez-Gross, Marcela, González-Rivas, Juan P, González-Villalpando, Clicerio, González-Villalpando, María-Elena, Gonzalez, Angel R, Gorbea, Mariano Bonet, Gottrand, Frederic, Graff-Iversen, Sidsel, Grafnetter, Dušan, Grajda, Aneta, Grammatikopoulou, Maria G, Gregor, Ronald D, Grodzicki, Tomasz, Grosso, Giuseppe, Gruden, Gabriella, Gu, Dongfeng, Guan, Ong Peng, Gudmundsson, Elias F, Gudnason, Vilmundur, Guerrero, Ramiro, Guessous, Idris, Guimaraes, Andre L, Gulliford, Martin C, Gunnlaugsdottir, Johanna, Gunter, Marc J, Gupta, Prakash C, Gupta, Rajeev, Gureje, Oye, Gurzkowska, Beata, Gutierrez, Laura, Gutzwiller, Felix, Ha, Seongjun, Hadaegh, Farzad, Haghshenas, Rosa, Hakimi, Hamid, Halkjær, Jytte, Hambleton, Ian R, Hamzeh, Behrooz, Hange, Dominique, Hanif, Abu AM, Hantunen, Sari, Hao, Jie, Hardman, Carla Menêses, Hari Kumar, Rachakulla, Hashemi-Shahri, Seyed Mohammad, Hata, Jun, Haugsgjerd, Teresa, Hayes, Alison J, He, Yuna, Heier, Margit, Hendriks, Marleen Elisabeth, Henrique, Rafael dos Santos, Henriques, Ana, Hernandez Cadena, Leticia, Herqutanto, Herrala, Sauli, Heshmat, Ramin, Hill, Allan G, Ho, Sai Yin, Ho, Suzanne C, Hobbs, Michael, Holdsworth, Michelle, Homayounfar, Reza, Horasan Dinc, Gonul, Horimoto, Andrea RVR, Hormiga, Claudia M, Horta, Bernardo L, Houti, Leila, Howitt, Christina, Htay, Thein Thein, Htet, Aung Soe, Htike, Maung Maung Than, Hu, Yonghua, Huerta, José María, Huhtaniemi, Ilpo Tapani, Huiart, Laetitia, Huisman, Martijn, Husseini, Abdullatif S, Huybrechts, Inge, Hwalla, Nahla, Iacoviello, Licia, Iannone, Anna G, Ibrahim, Mohsen M, Ibrahim Wong, Norazizah, Ikram, M Arfan, Iotova, Violeta, Irazola, Vilma E, Ishida, Takafumi, Isiguzo, Godsent C, Islam, Muhammad, Islam, Sheikh Mohammed Shariful, Iwasaki, Masanori, Jackson, Rod T, Jacobs, Jeremy M, Jaddou, Hashem Y, Jafar, Tazeen, James, Kenneth, Jamrozik, Konrad, Janszky, Imre, Janus, Edward, Jarvelin, Marjo-Riitta, Jasienska, Grazyna, Jelaković, Ana, Jelaković, Bojan, Jennings, Garry, Jha, Anjani Kumar, Jiang, Chao Qiang, Jimenez, Ramon O, Jöckel, Karl-Heinz, Joffres, Michel, Johansson, Mattias, Jokelainen, Jari J, Jonas, Jost B, Jørgensen, Torben, Joshi, Pradeep, Joukar, Farahnaz, Jóżwiak, Jacek, Juolevi, Anne, Jurak, Gregor, Jureša, Vesna, Kaaks, Rudolf, Kafatos, Anthony, Kajantie, Eero O, Kalmatayeva, Zhanna, Kalpourtzi, Natasa, Kalter-Leibovici, Ofra, Kampmann, Freja B, Kannan, Srinivasan, Karaglani, Eva, Kårhus, Line L, Karki, Khem B, Katibeh, Marzieh, Katz, Joanne, Kauhanen, Jussi, Kaur, Prabhdeep, Kavousi, Maryam, Kazakbaeva, Gyulli M, Keil, Ulrich, Keinan Boker, Lital, Keinänen-Kiukaanniemi, Sirkka, Kelishadi, Roya, Kemper, Han CG, Keramati, Maryam, Kerimkulova, Alina, Kersting, Mathilde, Key, Timothy, Khader, Yousef Saleh, Khalili, Davood, Khaw, Kay-Tee, Kheiri, Bahareh, Kheradmand, Motahareh, Khosravi, Alireza, Kiechl-Kohlendorfer, Ursula, Kiechl, Stefan, Killewo, Japhet, Kim, Dong Wook, Kim, Jeongseon, Klakk, Heidi, Klimek, Magdalena, Klumbiene, Jurate, Knoflach, Michael, Kolle, Elin, Kolsteren, Patrick, Kontto, Jukka P, Korpelainen, Raija, Korrovits, Paul, Kos, Jelena, Koskinen, Seppo, Kouda, Katsuyasu, Kowlessur, Sudhir, Koziel, Slawomir, Kratenova, Jana, Kriaucioniene, Vilma, Kristensen, Peter Lund, Krokstad, Steiner, Kromhout, Daan, Kruger, Herculina S, Kubinova, Ruzena, Kuciene, Renata, Kujala, Urho M, Kulaga, Zbigniew, Kumar, R Krishna, Kurjata, Pawel, Kusuma, Yadlapalli S, Kutsenko, Vladimir, Kuulasmaa, Kari, Kyobutungi, Catherine, Laatikainen, Tiina, Lachat, Carl, Laid, Youcef, Lam, Tai Hing, Landrove, Orlando, Lanska, Vera, Lappas, Georg, Larijani, Bagher, Latt, Tint Swe, Le Coroller, Gwenaëlle, Le Nguyen Bao, Khanh, Le, Tuyen D, Lee, Jeannette, Lee, Jeonghee, Lehmann, Nils, Lehtimäki, Terho, Lemogoum, Daniel, Levitt, Naomi S, Li, Yanping, Lilly, Christa L, Lim, Wei-Yen, Lima-Costa, M Fernanda, Lin, Xu, Lin, Yi-Ting, Lind, Lars, Lingam, Vijaya, Linneberg, Allan, Lissner, Lauren, Litwin, Mieczyslaw, Lo, Wei-Cheng, Loit, Helle-Mai, Lopez-Garcia, Esther, Lopez, Tania, Lotufo, Paulo A, Lozano, José Eugenio, Lukačević Lovrenčić, Iva, Lukrafka, Janice L, Luksiene, Dalia, Lundqvist, Annamari, Lundqvist, Robert, Lunet, Nuno, Lustigová, Michala, Luszczki, Edyta, Ma, Guansheng, Ma, Jun, Machado-Coelho, George LL, Machado-Rodrigues, Aristides M, Macia, Enguerran, Macieira, Luisa M, Madar, Ahmed A, Maggi, Stefania, Magliano, Dianna J, Magriplis, Emmanuella, Mahasampath, Gowri, Maire, Bernard, Majer, Marjeta, Makdisse, Marcia, Malekzadeh, Fatemeh, Malekzadeh, Reza, Malhotra, Rahul, Mallikharjuna Rao, Kodavanti, Malyutina, Sofia K, Maniego, Lynell V, Manios, Yannis, Mann, Jim I, Mansour-Ghanaei, Fariborz, Manzato, Enzo, Marcil, Anie, Mårild, Staffan B, Marinović Glavić, Mihalea, Marques-Vidal, Pedro, Marques, Larissa Pruner, Marrugat, Jaume, Martorell, Reynaldo, Mascarenhas, Luis P, Matasin, Marija, Mathiesen, Ellisiv B, Mathur, Prashant, Matijasevich, Alicia, Matlosz, Piotr, Matsha, Tandi E, Mavrogianni, Christina, Mbanya, Jean Claude N, Mc Donald Posso, Anselmo J, McFarlane, Shelly R, McGarvey, Stephen T, McLachlan, Stela, McLean, Rachael M, McLean, Scott B, McNulty, Breige A, Mediene Benchekor, Sounnia, Medzioniene, Jurate, Mehdipour, Parinaz, Mehlig, Kirsten, Mehrparvar, Amir Houshang, Meirhaeghe, Aline, Meisinger, Christa, Mendoza Montano, Carlos, Menezes, Ana Maria B, Menon, Geetha R, Mereke, Alibek, Meshram, Indrapal I, Metspalu, Andres, Meyer, Haakon E, Mi, Jie, Michels, Nathalie, Mikkel, Kairit, Milkowska, Karolina, Miller, Jody C, Minderico, Cláudia S, Mini, GK, Mirjalili, Mohammad Reza, Mirrakhimov, Erkin, Mišigoj-Duraković, Marjeta, Modesti, Pietro A, Moghaddam, Sahar Saeedi, Mohajer, Bahram, Mohamed, Mostafa K, Mohamed, Shukri F, Mohammad, Kazem, Mohammadi, Mohammad Reza, Mohammadi, Zahra, Mohammadifard, Noushin, Mohammadpourhodki, Reza, Mohan, Viswanathan, Mohanna, Salim, Mohd Yusoff, Muhammad Fadhli, Mohebbi, Iraj, Mohebi, Farnam, Moitry, Marie, Møllehave, Line T, Molnár, Dénes, Momenan, Amirabbas, Mondo, Charles K, Monterrubio-Flores, Eric, Monyeki, Kotsedi Daniel K, Moon, Jin Soo, Moosazadeh, Mahmood, Moreira, Leila B, Morejon, Alain, Moreno, Luis A, Morgan, Karen, Moschonis, George, Mossakowska, Malgorzata, Mostafa, Aya, Mostafavi, Seyed-Ali, Mota, Jorge, Motlagh, Mohammad Esmaeel, Motta, Jorge, Moura-dos-Santos, Marcos André, Mridha, Malay K, Msyamboza, Kelias P, Mu, Thet Thet, Muhihi, Alfa J, Muiesan, Maria L, Müller-Nurasyid, Martina, Murphy, Neil, Mursu, Jaakko, Musa, Kamarul Imran, Musić Milanović, Sanja, Musil, Vera, Mustafa, Norlaila, Nabipour, Iraj, Naderimagham, Shohreh, Nagel, Gabriele, Naidu, Balkish M, Najafi, Farid, Nakamura, Harunobu, Námešná, Jana, Nang, Ei Ei K, Nangia, Vinay B, Narake, Sameer, Ndiaye, Ndeye Coumba, Neal, William A, Nejatizadeh, Azim, Nenko, Ilona, Neovius, Martin, Nguyen, Chung T, Nguyen, Nguyen D, Nguyen, Quang V, Nguyen, Quang Ngoc, Nieto-Martínez, Ramfis E, Niiranen, Teemu J, Nikitin, Yury P, Ninomiya, Toshiharu, Nishtar, Sania, Njelekela, Marina A, Noale, Marianna, Noboa, Oscar A, Noorbala, Ahmad Ali, Norat, Teresa, Nordendahl, Maria, Nordestgaard, Børge G, Noto, Davide, Nowak-Szczepanska, Natalia, Nsour, Mohannad Al, Nunes, Baltazar, O'Neill, Terence W, O'Reilly, Dermot, Ochimana, Caleb, Oda, Eiji, Odili, Augustine N, Oh, Kyungwon, Ohara, Kumiko, Ohtsuka, Ryutaro, Olié, Valérie, Olinto, Maria Teresa A, Oliveira, Isabel O, Omar, Mohd Azahadi, Onat, Altan, Ong, Sok King, Ono, Lariane M, Ordunez, Pedro, Ornelas, Rui, Ortiz, Pedro J, Osmond, Clive, Ostojic, Sergej M, Ostovar, Afshin, Otero, Johanna A, Overvad, Kim, Owusu-Dabo, Ellis, Paccaud, Fred Michel, Padez, Cristina, Pahomova, Elena, Paiva, Karina Mary de, Pająk, Andrzej, Palli, Domenico, Palmieri, Luigi, Pan, Wen-Harn, Panda-Jonas, Songhomitra, Panza, Francesco, Paoli, Mariela, Papandreou, Dimitrios, Park, Soon-Woo, Park, Suyeon, Parnell, Winsome R, Parsaeian, Mahboubeh, Pasquet, Patrick, Patel, Nikhil D, Pavlyshyn, Halyna, Pećin, Ivan, Pednekar, Mangesh S, Pedro, João M, Peer, Nasheeta, Peixoto, Sergio Viana, Peltonen, Markku, Pereira, Alexandre C, Peres, Karen GDA, Peres, Marco A, Peters, Annette, Petkeviciene, Janina, Peykari, Niloofar, Pham, Son Thai, Pichardo, Rafael N, Pigeot, Iris, Pikhart, Hynek, Pilav, Aida, Pilotto, Lorenza, Pitakaka, Freda, Piwonska, Aleksandra, Pizarro, Andreia n, Plans-Rubió, Pedro, Polašek, Ozren, Porta, Miquel, Poudyal, Anil, Pourfarzi, Farhad, Pourshams, Akram, Poustchi, Hossein, Pradeepa, Rajendra, Price, Alison J, Price, Jacqueline F, Providencia, Rui, Puhakka, Soile E, Puiu, Maria, Punab, Margus, Qasrawi, Radwan F, Qorbani, Mostafa, Queiroz, Daniel, Quoc Bao, Tran, Radić, Ivana, Radisauskas, Ricardas, Rahimikazerooni, Salar, Rahman, Mahfuzar, Raitakari, Olli, Raj, Manu, Rakhimova, Ellina M, Ramachandra Rao, Sudha, Ramachandran, Ambady, Ramos, Elisabete, Rampal, Lekhraj, Rampal, Sanjay, Rangel Reina, Daniel A, Rarra, Vayia, Rech, Cassiano Ricardo, Redon, Josep, Reganit, Paul Ferdinand M, Regecová, Valéria, Revilla, Luis, Rezaianzadeh, Abbas, Ribeiro, Robespierre, Riboli, Elio, Richter, Adrian, Rigo, Fernando, Rinke de Wit, Tobias F, Ritti-Dias, Raphael M, Robitaille, Cynthia, Rodríguez-Artalejo, Fernando, Rodriguez-Perez, María del Cristo, Rodríguez-Villamizar, Laura A, Roggenbuck, Ulla, Rojas-Martinez, Rosalba, Romaguera, Dora, Romeo, Elisabetta L, Rosengren, Annika, Roy, Joel GR, Rubinstein, Adolfo, Ruidavets, Jean-Bernard, Ruiz-Betancourt, Blanca Sandra, Ruiz-Castell, Maria, Rusakova, Iuliia A, Russo, Paola, Rutkowski, Marcin, Sabanayagam, Charumathi, Sabbaghi, Hamideh, Sachdev, Harshpal S, Sadjadi, Alireza, Safarpour, Ali Reza, Safi, Sare, Safiri, Saeid, Saidi, Olfa, Sakarya, Sibel, Saki, Nader, Salanave, Benoit, Salazar Martinez, Eduardo, Salmerón, Diego, Salomaa, Veikko, Salonen, Jukka T, Salvetti, Massimo, Sánchez-Abanto, Jose, Sans, Susana, Santos, Diana A, Santos, Ina S, Santos, Lèlita C, Santos, Maria Paula, Santos, Rute, Saramies, Jouko L, Sardinha, Luis B, Sarganas, Giselle, Sarrafzadegan, Nizal, Sathish, Thirunavukkarasu, Saum, Kai-Uwe, Savva, Savvas, Sawada, Norie, Sbaraini, Mariana, Scazufca, Marcia, Schaan, Beatriz D, Schargrodsky, Herman, Schipf, Sabine, Schmidt, Carsten O, Schnohr, Peter, Schöttker, Ben, Schramm, Sara, Schultsz, Constance, Schutte, Aletta E, Sebert, Sylvain, Sein, Aye Aye, Sen, Abhijit, Senbanjo, Idowu O, Sepanlou, Sadaf G, Servais, Jennifer, Shalnova, Svetlana A, Shamah-Levy, Teresa, Shamshirgaran, Morteza, Shanthirani, Coimbatore Subramaniam, Sharafkhah, Maryam, Sharma, Sanjib K, Shaw, Jonathan E, Shayanrad, Amaneh, Shayesteh, Ali Akbar, Shi, Zumin, Shibuya, Kenji, Shimizu-Furusawa, Hana, Shin, Dong Wook, Shirani, Majid, Shiri, Rahman, Shrestha, Namuna, Si-Ramlee, Khairil, Siani, Alfonso, Siantar, Rosalynn, Sibai, Abla M, Silva, Caroline Ramos de Moura, Silva, Diego Augusto Santos, Simon, Mary, Simons, Judith, Simons, Leon A, Sjöström, Michael, Slowikowska-Hilczer, Jolanta, Slusarczyk, Przemyslaw, Smeeth, Liam, So, Hung-Kwan, Soares, Fernanda Cunha, Sobngwi, Eugène, Söderberg, Stefan, Soemantri, Agustinus, Sofat, Reecha, Solfrizzi, Vincenzo, Somi, Mohammad Hossein, Sonestedt, Emily, Song, Yi, Sørensen, Thorkild IA, Sørgjerd, Elin P, Sorić, Maroje, Sossa Jérome, Charles, Soumaré, Aïcha, Sparboe-Nilsen, Bente, Sparrenberger, Karen, Staessen, Jan A, Starc, Gregor, Stavreski, Bill, Steene-Johannessen, Jostein, Stehle, Peter, Stein, Aryeh D, Stergiou, George S, Stessman, Jochanan, Stieber, Jutta, Stöckl, Doris, Stocks, Tanja, Stokwiszewski, Jakub, Stronks, Karien, Strufaldi, Maria Wany, Suka, Machi, Sun, Chien-An, Sung, Yn-Tz, Suriyawongpaisal, Paibul, Sy, Rody G, Syddall, Holly E, Sylva, René Charles, Szklo, Moyses, Tai, E Shyong, Tammesoo, Mari-Liis, Tamosiunas, Abdonas, Tan, Eng Joo, Tang, Xun, Tanser, Frank, Tao, Yong, Tarawneh, Mohammed Rasoul, Tarqui-Mamani, Carolina B, Taylor, Anne, Taylor, Julie, Tebar, William R, Tell, Grethe S, Tello, Tania, Tham, Yih Chung, Thankappan, KR, Theobald, Holger, Theodoridis, Xenophon, Thijs, Lutgarde, Thinggaard, Mikael, Thomas, Nihal, Thorand, Barbara, Thuesen, Betina H, Timmermans, Erik J, Tjandrarini, Dwi H, Tjonneland, Anne, Toft, Ulla, Tolonen, Hanna K, Tolstrup, Janne S, Topbas, Murat, Topór-Madry, Roman, Tormo, María José, Tornaritis, Michael J, Torrent, Maties, Torres-Collado, Laura, Touloumi, Giota, Traissac, Pierre, Triantafyllou, Areti, Trichopoulos, Dimitrios, Trichopoulou, Antonia, Trinh, Oanh TH, Trivedi, Atul, Tshepo, Lechaba, Tsugane, Shoichiro, Tuliakova, Azaliia M, Tulloch-Reid, Marshall K, Tullu, Fikru, Tuomainen, Tomi-Pekka, Tuomilehto, Jaakko, Turley, Maria L, Twig, Gilad, Tynelius, Per, Tzourio, Christophe, Ueda, Peter, Ugel, Eunice, Ulmer, Hanno, Uusitalo, Hannu MT, Valdivia, Gonzalo, Valvi, Damaskini, van Dam, Rob M, van den Born, Bert-Jan, Van der Heyden, Johan, van der Schouw, Yvonne T, Van Herck, Koen, Van Minh, Hoang, Van Schoor, Natasja M, van Valkengoed, Irene GM, van Zutphen, Elisabeth M, Vanderschueren, Dirk, Vanuzzo, Diego, Varbo, Anette, Vasan, Senthil K, Vega, Tomas, Veidebaum, Toomas, Velasquez-Melendez, Gustavo, Veronesi, Giovanni, Verschuren, WM Monique, Verstraeten, Roosmarijn, Victora, Cesar G, Viet, Lucie, Villalpando, Salvador, Vineis, Paolo, Vioque, Jesus, Virtanen, Jyrki K, Visvikis-Siest, Sophie, Viswanathan, Bharathi, Vlasoff, Tiina, Vollenweider, Peter, Voutilainen, Ari, Wade, Alisha N, Walton, Janette, Wambiya, Elvis OA, Wan Bebakar, Wan Mohamad, Wan Mohamud, Wan Nazaimoon, Wanderley Júnior, Rildo de Souza, Wang, Ming-Dong, Wang, Ningli, Wang, Qian, Wang, Xiangjun, Wang, Ya Xing, Wang, Ying-Wei, Wannamethee, S Goya, Wareham, Nicholas, Wei, Wenbin, Weres, Aneta, Werner, Bo, Whincup, Peter H, Widhalm, Kurt, Wiecek, Andrzej, Wilks, Rainford J, Willeit, Johann, Willeit, Peter, Williams, Emmanuel A, Wilsgaard, Tom, Wojtyniak, Bogdan, Wong-McClure, Roy A, Wong, Andrew, Wong, Tien Yin, Woo, Jean, Wu, Frederick C, Wu, Shouling, Wyszynska, Justyna, Xu, Haiquan, Xu, Liang, Yaacob, Nor Azwany, Yan, Weili, Yang, Ling, Yang, Xiaoguang, Yang, Yang, Yasuharu, Tabara, Ye, Xingwang, Yiallouros, Panayiotis K, Yoosefi, Moein, Yoshihara, Akihiro, You, San-Lin, Younger-Coleman, Novie O, Yusoff, Ahmad Faudzi, Zainuddin, Ahmad A, Zakavi, Seyed Rasoul, Zamani, Farhad, Zambon, Sabina, Zampelas, Antonis, Zapata, Maria Elisa, Zaw, Ko Ko, Zejglicova, Kristyna, Zeljkovic Vrkic, Tajana, Zeng, Yi, Zhang, Luxia, Zhang, Zhen-Yu, Zhao, Dong, Zhao, Ming-Hui, Zhen, Shiqi, Zheng, Yingfeng, Zholdin, Bekbolat, Zhu, Dan, Zins, Marie, Zitt, Emanuel, Zocalo, Yanina, Zoghlami, Nada, Zuñiga Cisneros, Julio, and Ezzati, Majid

Abstract

Hypertension can be detected at the primary health-care level and low-cost treatments can effectively control hypertension. We aimed to measure the prevalence of hypertension and progress in its detection, treatment, and control from 1990 to 2019 for 200 countries and territories.

Published
2021
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7. The Immune Response in Nonmetastatic Axillary Lymph Nodes Is Associated with the Presence of Axillary Metastasis and Breast Cancer Patient Outcome

Author

López, Carlos, Bosch, Ramon, Orero, Guifre, Korzynska, Anna, García-Rojo, Marcial, Bueno, Gloria, Fernández-Carrobles, María del Milagro, Gibert-Ramos, Albert, Roszkowiak, Lukasz, Callau, Cristina, Fontoura, Laia, Salvadó, Maria-Teresa, Álvaro, Tomás, Jaén, Joaquín, Roso-Llorach, Albert, Llobera, Montserrat, Gil, Julia, Onyos, Montserrat, Plancoulaine, Benoît, Baucells, Jordi, and Lejeune, Marylène

Abstract

Tumor cells can modify the immune response in primary tumors and in the axillary lymph nodes with metastasis (ALN+) in breast cancer (BC), influencing patient outcome. We investigated whether patterns of immune cells in the primary tumor and in the axillary lymph nodes without metastasis (ALN−) differed between patients diagnosed without ALN+(diagnosed-ALN−) and with ALN+(diagnosed-ALN+) and the implications for clinical outcome. Eleven immune markers were studied using immunohistochemistry, tissue microarray, and digital image analysis in 141 BC patient samples (75 diagnosed-ALN+and 66 diagnosed-ALN−). Two logistic regression models were derived to identify the clinical, pathologic, and immunologic variables associated with the presence of ALN+at diagnosis. There are immune patterns in the ALN−associated with the presence of ALN+at diagnosis. The regression models revealed a small subgroup of diagnosed-ALN+with ALN−immune patterns that were more similar to those of the ALN−of the diagnosed-ALN−. This small subgroup also showed similar clinical behavior to that of the diagnosed-ALN−. Another small subgroup of diagnosed-ALN−with ALN−immune patterns was found whose members were more similar to those of the ALN−of the diagnosed-ALN+. This small subgroup had similar clinical behavior to the diagnosed-ALN+. These data suggest that the immune response present in ALN−at diagnosis could influence the clinical outcome of BC patients.

Published
2020
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8. Prevalence of Metabolically Healthy but Overweight/Obese Phenotype and Its Association With Sedentary Time, Physical Activity, and Fitness.

Author

Cadenas-Sanchez, Cristina, Ruiz, Jonatan R., Labayen, Idoia, Huybrechts, Inge, Manios, Yannis, González-Gross, Marcela, Breidenassel, Christina, Kafatos, Anthony, De Henauw, Stefaan, Vanhelst, Jeremy, Widhalm, Kurt, Molnar, Denes, Bueno, Gloria, Censi, Laura, Plada, María, Sjöström, Michael, Moreno, Luis A., Castillo, Manuel J., and Ortega, Francisco B.

Abstract

Purpose Childhood obesity is one of the major concerns in the last years due to the association with future health problems and all-cause mortality. However, there is a subset of adolescents with overweight/obesity who present a metabolic healthy profile. Therefore, the aim of this study was to examine the prevalence of metabolically healthy but overweight/obese adolescents and whether sedentary time, physical activity, and fitness differ between metabolically healthy and nonmetabolically healthy phenotypes. Methods A subsample of 237 European adolescents from the HEalthy Lifestyle in Europe by Nutrition in Adolescence study (n = 3,528, participation rate: 61.3%) with overweight/obesity were included. The study sample was not fully representative for the European adolescent population. Based on sex- and age-specific metabolic syndrome cutoff points for triglycerides, glucose, blood pressure, and high-density cholesterol participants were classified as metabolically healthy or nonmetabolically healthy. Sedentary time, physical activity, and fitness were assessed by accelerometry and the Alpha battery, respectively. Results The prevalence of metabolically healthy status in adolescents with overweight and obesity was higher in girls (87%) than in boys (74%, p = .019), being similar when only obesity was considered. Sedentary time was lower in metabolically healthy overweight/obese than in nonmetabolically healthy participants (mean difference = 48.0 minutes, p = .012). Moderate and moderate-to-vigorous physical activity were higher ( p 's < .05) in metabolically healthy than in nonmetabolically healthy adolescents with overweight/obesity (mean difference = 7.9 min/day and 10.9 min/day, respectively). No significant differences were found in fitness. Overall, these results persisted when only adolescents with obesity were included in the analyses. Conclusions Metabolically healthy adolescents with overweight/obesity are less sedentary and more active than their nonmetabolically healthy peers with overweight/obesity, yet consistent differences in fitness were not observed. [ABSTRACT FROM AUTHOR]

Published
2017
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10. Bagging Tree Classifier and Texture Features for Tumor Identification in Histological Images.

Author

Fernández-Carrobles, M. Milagro, Serrano, Ismael, Bueno, Gloria, and Déniz, Oscar

Subjects
TEXTURE analysis (Image processing), TREE graphs, TUMOR diagnosis, ALGORITHMS, METASTASIS, EOSIN, IMAGE converters
Abstract

The goal of this challenge 1 was to evaluate new and existing algorithms for automated detection of metastases in hematoxylin and eosin (H&E) stained whole-slide images of lymph node sections. To this end, both slide-based and lesion-based evaluation was made. Several classification methods were tested including classical and deep learning techniques. The most efficient one for the dataset tested was Bagging Tree classifiers using texture features. In the slide-based classification an AUC equal to 0.9952 was obtained, with 98.13% of TP and 1.28% of FP. The TP result decreases in the lesion-based evaluation. Two methodologies were proposed for this second evaluation. Method 1 was based on the convex area of the regions and method 2 based on morphophone- mic, geometric and statistical features. The sensitivity for lesion detection was 39.83% and 36.66% respectively, though the false positive average is kept low about 12.28 in method 1 and 10.71 in method 2. [ABSTRACT FROM AUTHOR]

Published
2016
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11. Body Composition Indices and Single and Clustered Cardiovascular Disease Risk Factors in Adolescents: Providing Clinical-Based Cut-Points.

Author

Gracia-Marco, Luis, Moreno, Luis A., Ruiz, Jonatan R., Ortega, Francisco B., de Moraes, Augusto César Ferreira, Gottrand, Frederic, Roccaldo, Romana, Marcos, Ascensión, Gómez-Martínez, Sonia, Dallongeville, Jean, Kafatos, Anthony, Molnar, Denes, Bueno, Gloria, de Henauw, Stefaan, Widhalm, Kurt, and Wells, Jonathan C.

Abstract

The aims of the present study in adolescents were 1) to examine how various body composition-screening tests relate to single and clustered cardiovascular disease (CVD) risk factors, 2) to examine how lean mass and body fatness (independently of each other) relate to clustered CVD risk factors, and 3) to calculate specific thresholds for body composition indices associated with an unhealthier clustered CVD risk. We measured 1089 European adolescents (46.7% boys, 12.5-17.49years) in 2006-2007. CVD risk factors included: systolic blood pressure, maximum oxygen uptake, homeostasis model assessment, C-reactive protein (n=748), total cholesterol/high density lipoprotein cholesterol and triglycerides. Body composition indices included: height, body mass index (BMI), lean mass, the sum of four skinfolds, central/peripheral skinfolds, waist circumference (WC), waist-to-height ratio (WHtR) and waist-to-hip ratio (WHR). Most body composition indices are associated with single CVD risk factors. The sum of four skinfolds, WHtR, BMI, WC and lean mass are strong and positively associated with clustered CVD risk. Interestingly, lean mass is positively associated with clustered CVD risk independently of body fatness in girls. Moderate and highly accurate thresholds for the sum of four skinfolds, WHtR, BMI, WC and lean mass are associated with an unhealthier clustered CVD risk (all AUC>0.773). In conclusion, our results support an association between most of the assessed body composition indices and single and clustered CVD risk factors. In addition, lean mass (independent of body fatness) is positively associated with clustered CVD risk in girls, which is a novel finding that helps to understand why an index such as BMI is a good index of CVD risk but a bad index of adiposity. Moderate to highly accurate thresholds for body composition indices associated with a healthier clustered CVD risk were found. Further studies with a longitudinal design are needed to confirm these findings. [ABSTRACT FROM AUTHOR]

Published
2016
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12. Biomedical Image Processing Integration Through INBIOMED: A Web Services-Based Platform.

Author

Oliveira, José Luís, Maojo, Víctor, Martin-Sanchez, Fernando, Pereira, António Sousa, Rey, David Pérez, Crespo, José, Anguita, Alberto, Ordóñez, Juan Luis Pérez, Dorado, Julián, Bueno, Gloria, Feliú, Vicente, Estruch, Antonio, and Heredia, José Antonio

Abstract

New biomedical technologies need to be integrated for research on complex diseases. It is necessary to combine and analyze information coming from different sources: genetic-molecular, clinical data and environmental risks. This paper presents the work carried on by the INBIOMED research network within the field of biomedical image analysis. The overall objective is to respond to the growing demand of advanced information processing methods for: developing analysis tools, creating knowledge structure and validating them in pharmacogenetics, epidemiology, molecular and image based diagnosis research environments. All the image processing tools and data are integrated and work within a web services-based application, the so called INBIOMED platform. Finally, several biomedical research labs offered real data and validate the network tools and methods in the most prevalent pathologies: cancer, cardiovascular and neurological. This work provides a unique biomedical information processing platform, open to the incorporation of data coming from other feature disease networks. [ABSTRACT FROM AUTHOR]

Published
2005
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15. Intracellular Proton Pumps as Targets in Chemotherapy: V-ATPases and Cancer

Author

Hernandez, Agustin, Serrano-Bueno, Gloria, R. Perez-Castineira, Jose, and Serrano, Aurelio

Abstract

Cancer cells show a metabolic shift that makes them overproduce protons; this has the potential to disturb the cellular acidbase homeostasis. However, these cells show cytoplasmic alkalinisation, increased acid extrusion and endosome-dependent drug resistance. Vacuolar type ATPases (V-ATPases), together with other transporters, are responsible to a great extent for these symptoms. These multi-subunit proton pumps are involved in the control of cytosolic pH and the generation of proton gradients (positive inside) across endocellular membrane systems like Golgi, endosomes or lysosomes. In addition, in tumours, they have been shown to play an important role in the acidification of the intercellular medium. This importance makes them an attractive target to control tumour cell proliferation. In the present review we present the major characteristics of this kind of proton pumps and we provide some recent insights on their in vivo regulation. Also, we review some of the consequences that V-ATPase inhibition carries for the tumour cell, such as cell cycle arrest or cell death, and provide a brief summary of the studies related to cancer made recently with commercially available inhibitors. In the light of recent knowledge on the regulation of this proton pump, some new approaches to impair V-ATPase function are also suggested.

Published
2012

16. Three-dimensional organ modeling based on deformable surfaces applied to radio-oncology

Author

Bueno, Gloria, Déniz, Oscar, salido, Jesús, Carrascosa, Carmen, and Delgado, José

Abstract

Abstract: This paper describes a method based on an energy minimizing deformable model applied to the 3D biomechanical modeling of a set of organs considered as regions of interest (ROI) for radiotherapy. The initial model consists of a quadratic surface that is deformed to the exact contour of the ROI by means of the physical properties of a mass-spring system. The exact contour of each ROI is first obtained using a geodesic active contour model. The ROI is then parameterized by the vibration modes resulting from the deformation process. Once each structure has been defined, the method provides a 3D global model including the whole set of ROIs. This model allows one to describe statistically the most significant variations among its structures. Statistical ROI variations among a set of patients or through time can be analyzed. Experimental results are presented using the pelvic zone to simulate anatomical variations among structures and its application in radiotherapy treatment planning.

Published
2010
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17. Computer vision based eyewear selector

Author

Déniz, Oscar, Castrillón, Modesto, Lorenzo, Javier, Antón, Luis, Hernandez, Mario, and Bueno, Gloria

Abstract

Abstract: The widespread availability of portable computing power and inexpensive digital cameras are opening up new possibilities for retailers in some markets. One example is in optical shops, where a number of systems exist that facilitate eyeglasses selection. These systems are now more necessary as the market is saturated with an increasingly complex array of lenses, frames, coatings, tints, photochromic and polarizing treatments, etc. Research challenges encompass Computer Vision, Multimedia and Human-Computer Interaction. Cost factors are also of importance for widespread product acceptance. This paper describes a low-cost system that allows the user to visualize different glasses models in live video. The user can also move the glasses to adjust its position on the face. The system, which runs at 9.5 frames/s on general-purpose hardware, has a homeostatic module that keeps image parameters controlled. This is achieved by using a camera with motorized zoom, iris, white balance, etc. This feature can be specially useful in environments with changing illumination and shadows, like in an optical shop. The system also includes a face and eye detection module and a glasses management module.

Published
2010
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18. Evaluation of Sedentary Behavior and Physical Activity Levels Using Different Accelerometry Protocols in Children from the GENOBOX Study

Author

Llorente-Cantarero, Francisco Jesus, Jurado-Castro, Jose Manuel, Leis, Rosaura, Vázquez-Cobela, Rocío, González-Gil, Esther M., Aguilera, Concepción María, Bueno, Gloria, Moreno, Luis A., Gil, Angel, and Gil-Campos, Mercedes

Abstract

Background: Physical activity (PA) has acquired a significant relevance due to the health benefits associated with its practice. Accelerometers are an effective tool to assess PA; however, the diversity of cut-off points used to define different PA intensities through accelerometry could interfere in the interpretation of the findings among studies. Objectives: The present study aimed to examine the sedentary behavior (SB) and physical activity (PA) levels in children using six selected accelerometry protocols based on diverse cut-off points. Methods: Clinical examination, anthropometric measurements, and PA evaluation by accelerometry were assessed in 543 selected children (10 ± 2.4 years old) from the Spanish GENOBOX study. The ActiLife data scoring program was used to determine daily min spent in SB, and light, moderate, vigorous and moderate-vigorous PA using six validated accelerometry protocols differing in their cut-off points. Results: Very different estimations for SB and PA intensity levels were found in children, independently of the non-wear-time algorithm selected, and considering puberty stages, age and body mass index. The time spent in daily SB varied from 471 to 663.7 min, PA ranged from 141 to 301.6 min, and the moderate-vigorous PA was reported between 20.7 and 180.2 min. Conclusion: The choice of a particular accelerometry protocol considering these factors is important to evaluate SB or PA intensities to suit the characteristics of the sample researched. It seems necessary to establish future lines of research that include different analytical approaches to measure SB and PA by accelerometry based on standardized and validated methodology.

Published
2021
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19. Effect of the Ala12 Allele in the PPAR?-2 Gene on the Relationship Between Birth Weight and Body Composition in Adolescents: The AVENA Study

Author

Labayen, Idoia, Moreno, Luis A, Marti, Amelia, González-Lamuño, Domingo, Wärnberg, Julia, Ortega, Francisco B, Bueno, Gloria, Nova, Esther, Ruiz, Jonatan R, Garagorri, Jesús M, Martínez, J Alfredo, GarcíA-Fuentes, Miguel, and Bueno, Manuel

Abstract

The intent of this study was to assess whether the effect of birth weight on later body composition is modified by Pro12Pro, Pro12Ala, and Ala12Ala genotypes of the peroxisome proliferator–activated receptor ?-2 (PPAR?-2) gene. The PPAR?-2 gene polymorphism was genotyped in 273 adolescents aged 13–18.5 y, born at term and whose birth weight was known. They were selected from a cross-sectional multicenter study conducted in five Spanish cities in 2000–2002. Body mass index (BMI) was calculated from weight and height measurements, and body composition and fat distribution were estimated from skinfold thickness. A total of 229 subjects (111 males and 118 females) carried the Pro12Pro genotype and 44 (22 males and 22 females) the Pro12Ala and Ala12Ala PPAR?-2 genotypes. In the Pro12Pro group, birth weight Z score was positively associated with both fat-free mass (FFM) (p < 0.05) and fat mass (FM) (p < 0.05), but these relationships disappeared after controlling for age, gestational age, socioeconomic status (SES), physical activity, Tanner stage, sex, and BMI. In the Ala12 group, birth weight Z score was positively associated with FFM (p < 0.01), and this relationship remained significant after controlling for confounding variables (p < 0.05). Small body weight at birth may program lower FFM in adolescents carrying the Ala12 allele in the PPAR?-2 gene.

Published
2007
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20. Effect of the Ala12 Allele in the PPAR-2 Gene on the Relationship Between Birth Weight and Body Composition in Adolescents The AVENA Study

Author

LABAYEN, IDOIA, MORENO, LUIS A., MARTI, AMELIA, GONZÁLEZ-LAMUÑO, DOMINGO, WÄRNBERG, JULIA, ORTEGA, FRANCISCO B., BUENO, GLORIA, NOVA, ESTHER, RUIZ, JONATAN R., GARAGORRI, JESÚS M., MARTÍNEZ, J ALFREDO, GARCÍA-FUENTES, MIGUEL, and BUENO, MANUEL

Abstract

The intent of this study was to assess whether the effect of birth weight on later body composition is modified by Pro12Pro, Pro12Ala, and Ala12Ala genotypes of the peroxisome proliferator–activated receptor -2 (PPAR-2) gene. The PPAR-2 gene polymorphism was genotyped in 273 adolescents aged 13–18.5 y, born at term and whose birth weight was known. They were selected from a cross-sectional multicenter study conducted in five Spanish cities in 2000–2002. Body mass index (BMI) was calculated from weight and height measurements, and body composition and fat distribution were estimated from skinfold thickness. A total of 229 subjects (111 males and 118 females) carried the Pro12Pro genotype and 44 (22 males and 22 females) the Pro12Ala and Ala12Ala PPAR-2 genotypes. In the Pro12Pro group, birth weight Zscore was positively associated with both fat-free mass (FFM) (p< 0.05) and fat mass (FM) (p< 0.05), but these relationships disappeared after controlling for age, gestational age, socioeconomic status (SES), physical activity, Tanner stage, sex, and BMI. In the Ala12 group, birth weight Zscore was positively associated with FFM (p< 0.01), and this relationship remained significant after controlling for confounding variables (p< 0.05). Small body weight at birth may program lower FFM in adolescents carrying the Ala12 allele in the PPAR-2 gene.

Published
2007
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21. The protein S100A4 as a novel marker of insulin resistance in prepubertal and pubertal children with obesity.

Author

Anguita-Ruiz, Augusto, Mendez-Gutierrez, Andrea, Ruperez, Azahara I., Leis, Rosaura, Bueno, Gloria, Gil-Campos, Mercedes, Tofe, Inés, Gomez-Llorente, Carolina, Moreno, Luis A., Gil, Ángel, and Aguilera, Concepción M.

Subjects
CHILDHOOD obesity, INSULIN resistance, WHITE adipose tissue, VISCERAL pain, MOLECULAR association, DNA methylation
Abstract

S100A4 is a metastasis-associated protein also reported as a promising marker for dysfunctional white adipose tissue (WAT) and insulin resistance (IR) in adult and adolescent populations. We aimed to evaluate the association between the protein S100A4 and obesity and IR in children and during pubertal development. The study design consisted of three cross-sectional populations of 249, 11 and 19 prepubertal children respectively (named study population 1, 2 and 3), and a longitudinal population of 53 girls undergoing sexual maturation (study population 4). All subjects were classified into experimental groups according to their sex, obesity and IR status. All study populations counted on anthropometry, glucose, and lipid metabolism, inflammation and cardiovascular biomarkers as well as S100A4 plasma levels measured. The study population 1 was intended as the discovery population in which to elucidate the relationship between Obesity-IR and S100A4 plasma levels in prepubertal children. The cross-sectional populations 2 and 3 further counted on WAT gene expression data for investigating the molecular basis of this association. Instead, the longitudinal study population 4 presented blood whole-genome DNA methylation data at each temporal record, allowing deepening into the Obesity-IR-S1004 relationship during puberty as well as deciphering plausible epigenetic mechanisms altering S100A4 plasma levels. S100A4 plasma levels were strongly associated with several metabolic and anthropometric outcomes, namely IR, in prepubertal non-diabetic obese children. We also found highly significant positive associations during the course of puberty between the increase in S100A4 levels and the increase in HOMA-IR (P = 0.0003, FDR = 0.005) and insulin levels (P = 0.0003, FDR = 0.005). Methylation in two-enhancer related CpG sites of the S100A4 region (cg07245635 and cg10447638) was associated with IR biomarkers at the prepubertal stage and with longitudinal changes in these measurements. We further reported an association between visceral WAT (vWAT) S100A4 expression and HOMA-IR, insulin levels and BMI Z -Score, but not with circulating S100A4. We report for the first time the association of S100A4 with IR and WAT dysfunction in prepubertal populations as well as how the change in plasma S100A4 levels accompanies longitudinal trajectories of IR in children during pubertal development. Moreover, we propose epigenetic changes in two methylation sites and an altered S100A4 vWAT expression as plausible molecular mechanisms underlying this disturbance in obesity. • S100A4 is a protein associated with insulin resistance in children with obesity. • Change in plasma S100A4 levels accompanies longitudinal trajectories of IR in children during pubertal development. • Differential methylation of the S100A4 genetic region associates with IR in children with obesity. • Altered S100A4 vWAT expression also presents as a plausible molecular mechanism underlying IR in obesity. • S100A4 could serve as an early-life predictive marker for the appearance of IR and type-2-diabetes later in life. [ABSTRACT FROM AUTHOR]

Published
2020
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23. Acid treatment for RNA removal from yeast

Author

Otero, Miguel, González, Arturo, Bueno, Gloria, and García-Revilla, José

Abstract

A method for RNA reduction from Candida utilisNRRL Y-660 by means of HCl-treatment was developed, and performs well with regard to protein recovery and aminoacid pattern.

Published
1982
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24. Influence of growth rate on RNA reduction by intracellular NRase

Author

Otero, Miguel, Bueno, Gloria, and Gonzalez, Arturo

Abstract

The influence of growth rate on RNA degradation by intracellular RNase was studied in Candida. Satisfactory reduction by the heat-shock method was obtained with cells grown between μ = 0.15 h-1and 0.35 h-1. Higher growth rates led to a poor performance; the enzvme-substrate ratio seems to be a limiting factor.

Published
1981
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25. Differences in the Immune Response of the Nonmetastatic Axillary Lymph Nodes Between Triple-Negative and Luminal A Breast Cancer Surrogate Subtypes

Author

López, Carlos, Gibert-Ramos, Albert, Bosch, Ramón, Korzynska, Anna, García-Rojo, Marcial, Bueno, Gloria, García-Fontgivell, Joan Francesc, Martínez González, Salomé, Fontoura, Laia, Gras Navarro, Andrea, Sauras Colón, Esther, Casanova Ribes, Júlia, Roszkowiak, Lukasz, Roso, Albert, Berenguer, Marta, Llobera, Montserrat, Baucells, Jordi, and Lejeune, Marylène

Abstract

Breast cancer (BC) comprises four immunohistochemical surrogate subtypes of which triple-negative breast cancer (TNBC) has the highest risk of mortality. Axillary lymph nodes (ALNs) are the regions where BC cells first establish before distant metastasis, and the presence of tumor cells in the ALN causes an immune tolerance profile that contrasts with that of the nonmetastatic ALN (ALN−). However, few studies have compared the immune components of the ALNs−in BC subtypes. The present study aimed to determine whether differences between immune populations in the primary tumor and ALNs−were associated with the luminal A or TNBC subtype. We evaluated a retrospective cohort of 144 patients using paraffin-embedded biopsies. The TNBC samples tended to have a higher histologic grade and proliferation index and had higher levels of immune markers compared with luminal A in primary tumors and ALNs−. Two methods for validating the multivariate analysis found that histologic grade, intratumoral S100 dendritic cells, and CD8 T lymphocytes and CD57 natural killer cells in the ALNs−were factors associated with TNBC, whereas CD83 dendritic cells in the ALNs−were associated with the luminal A subtype. In conclusion, we found that intratumoral regions and ALNs−of TNBC contained higher concentrations of markers related to immune tolerance than luminal A. This finding partially explains the worse prognosis of patients with TNBC.

Published
2021
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