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4. Extra-cardiac BCAA catabolism lowers blood pressure and protects from heart failure

Author

Murashige, Danielle, Jung, Jae Woo, Neinast, Michael D., Levin, Michael G., Chu, Qingwei, Lambert, Jonathan P., Garbincius, Joanne F., Kim, Boa, Hoshino, Atsushi, Marti-Pamies, Ingrid, McDaid, Kendra S., Shewale, Swapnil V., Flam, Emily, Yang, Steven, Roberts, Emilia, Li, Li, Morley, Michael P., Bedi, Kenneth C., Jr., Hyman, Matthew C., Frankel, David S., Margulies, Kenneth B., Assoian, Richard K., Elrod, John W., Jang, Cholsoon, Rabinowitz, Joshua D., and Arany, Zoltan

Published
2022
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9. Impact of acute stress on murine metabolomics and metabolic flux.

Author

Won Dong Lee, Lingfan Liang, AbuSalim, Jenna, Jankowski, Connor S. R., Samarah, Laith Z., Neinast, Michael D., and Rabinowitz, Joshua D.

Subjects
METABOLOMICS, IMPLANTABLE catheters, ADRENERGIC agonists, ARTERIAL catheters, STABLE isotopes
Abstract

Plasma metabolite concentrations and labeling enrichments are common measures of organismal metabolism. In mice, blood is often collected by tail snip sampling. Here, we systematically examined the effect of such sampling, relative to gold-standard sampling from an in-dwelling arterial catheter, on plasma metabolomics and stable isotope tracing. We find marked differences between the arterial and tail circulating metabolome, which arise from two major factors: handling stress and sampling site, whose effects were deconvoluted by taking a second arterial sample immediately after tail snip. Pyruvate and lactate were the most stress-sensitive plasma metabolites, rising ~14 and ~5-fold. Both acute handling stress and adrenergic agonists induce extensive, immediate production of lactate, and modest production of many other circulating metabolites, and we provide a reference set of mouse circulatory turnover fluxes with noninvasive arterial sampling to avoid such artifacts. Even in the absence of stress, lactate remains the highest flux circulating metabolite on a molar basis, and most glucose flux into the TCA cycle in fasted mice flows through circulating lactate. Thus, lactate is both a central player in unstressed mammalian metabolism and strongly produced in response to acute stress. [ABSTRACT FROM AUTHOR]

Published
2023
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10. Insulin-stimulated adipocytes secrete lactate to promote endothelial fatty acid uptake and transport.

Author

Ibrahim, Ayon, Neinast, Michael D., Li, Kristina, Noji, Michael, Boa Kim, Bornstein, Marc R., Mohammed, Raffiu, Wellen, Kathryn E., and Arany, Zoltan

Subjects
*FATTY acids, *FREE fatty acids, *CHYLOMICRONS, *LACTATES, *ENDOTHELIAL cells, *LACTATION, *INSULIN, *ADIPOSE tissues
Abstract

Insulin stimulates adipose tissue to extract fatty acids from circulation and sequester them inside adipose cells. How fatty acids are transported across the capillary endothelial barrier, and how this process is regulated, remains unclear. We modeled the relationship of adipocytes and endothelial cells in vitro to test the role of insulin in fatty acid transport. Treatment of endothelial cells with insulin did not affect endothelial fatty acid uptake, but endothelial cells took up more fatty acids when exposed to medium conditioned by adipocytes treated with insulin. Manipulations of this conditioned medium indicated that the secreted factor is a small, hydrophilic, non-proteinaceous metabolite. Factor activity was correlated with lactate concentration, and inhibition of lactate production in adipocytes abolished the activity. Finally, lactate alone was sufficient to increase endothelial uptake of both free fatty acids and lipids liberated from chylomicrons, and to promote transendothelial transport, at physiologically relevant concentrations. Taken together, these data suggest that insulin drives adipocytes to secrete lactate, which then acts in a paracrine fashion to promote fatty acid uptake and transport across the neighboring endothelial barrier. [ABSTRACT FROM AUTHOR]

Published
2022
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11. Whole-body metabolic fate of branched-chain amino acids.

Author

Blair, Megan C., Neinast, Michael D., and Arany, Zoltan

Subjects
*AMINO acids, *DEPHOSPHORYLATION, *OXIDATION, *PHOSPHORYLATION, *LEUCINE
Abstract

Oxidation of branched-chain amino acids (BCAAs) is tightly regulated in mammals. We review here the distribution and regulation of whole-body BCAA oxidation. Phosphorylation and dephosphorylation of the rate-limiting enzyme, branched-chain a-ketoacid dehydrogenase complex directly regulates BCAA oxidation, and various other indirect mechanisms of regulation also exist. Most tissues throughout the body are capable of BCAA oxidation, and the flux of oxidative BCAA disposal in each tissue is influenced by three key factors: 1. tissue-specific preference for BCAA oxidation relative to other fuels, 2. the overall oxidative activity of mitochondria within a tissue, and 3. total tissue mass. Perturbations in BCAA oxidation have been implicated in many disease contexts, underscoring the importance of BCAA homeostasis in overall health. [ABSTRACT FROM AUTHOR]

Published
2021
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12. Maternal high-fat diet is associated with impaired fetal lung development.

Author

Mayor, Reina S., Finch, Katelyn E., Zehr, Jordan, Morselli, Eugenia, Neinast, Michael D., Frank, Aaron P., Hahner, Lisa D., Wang, Jason, Rakheja, Dinesh, Palmer, Biff F., Rosenfeld, Charles R., Savani, Rashmin C., and Clegg, Deborah J.

Subjects
MATERNAL nutrition, HIGH-fat diet, FETAL development, LUNG development, INFANT health, LOW birth weight
Abstract

Maternal nutrition has a profound long-term impact on infant health. Poor maternal nutrition influences placental development and fetal growth, resulting in low birth weight, which is strongly associated with the risk of developing chronic diseases, including heart disease, hypertension, asthma, and type 2 diabetes, later in life. Few studies have delineated the mechanisms by which maternal nutrition affects fetal lung development. Here, we report that maternal exposure to a diet high in fat (HFD) causes placental inflammation, resulting in placental insufficiency, fetal growth restriction (FGR), and inhibition of fetal lung development. Notably, pre- and postnatal exposure to maternal HFD also results in persistent alveolar simplification in the postnatal period. Our novel findings provide a strong association between maternal diet and fetal lung development. [ABSTRACT FROM AUTHOR]

Published
2015
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13. Activation of natriuretic peptides and the sympathetic nervous system following Roux-en-Y gastric bypass is associated with gonadal adipose tissues browning.

Author

Neinast, Michael D., Frank, Aaron P., Zechner, Juliet F., Li, Quanlin, Vishvanath, Lavanya, Palmer, Biff F., Aguirre, Vincent, Gupta, Rana K., and Clegg, Deborah J.

Abstract

Objective Roux-en-Y gastric bypass (RYGB) is an effective method of weight loss and remediation of type-2 diabetes; however, the mechanisms leading to these improvements are unclear. Additionally, adipocytes within white adipose tissue (WAT) depots can manifest characteristics of brown adipocytes. These ‘BRITE/beige’ adipocytes express uncoupling protein 1 (UCP1) and are associated with improvements in glucose homeostasis and protection from obesity. Interestingly, atrial and B-type natriuretic peptides (NPs) promote BRITE/beige adipocyte enrichment of WAT depots, an effect known as “browning.” Here, we investigate the effect of RYGB surgery on NP, NP receptors, and browning in the gonadal adipose tissues of female mice. We propose that such changes may lead to improvements in metabolic homeostasis commonly observed following RYGB. Methods Wild type, female, C57/Bl6 mice were fed a 60% fat diet ad libitum for six months. Mice were divided into three groups: Sham operated (SO), Roux-en-Y gastric bypass (RYGB), and Weight matched, sham operated (WM-SO). Mice were sacrificed six weeks following surgery and evaluated for differences in body weight, glucose homeostasis, adipocyte morphology, and adipose tissue gene expression. Results RYGB and calorie restriction induced similar weight loss and improved glucose metabolism without decreasing food intake. β3-adrenergic receptor expression increased in gonadal adipose tissue, in addition to Nppb (BNP), and NP receptors, Npr1 , and Npr2 . The ratio of Npr1 : Npr3 and Npr2 : Npr3 increased in RYGB, but not WM-SO groups. Ucp1 protein and mRNA, as well as additional markers of BRITE/beige adipose tissue and lipolytic genes increased in RYGB mice to a greater extent than calorie-restricted mice. Conclusions Upregulation of Nppb , Npr1 , Npr2 , and β3 - adrenergic receptors in gonadal adipose tissue following RYGB was associated with increased markers of browning. This browning of gonadal adipose tissue may underpin the positive effect of RYGB on metabolic parameters and may in part be mediated through upregulation of natriuretic peptides. [ABSTRACT FROM AUTHOR]

Published
2015
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14. ERα upregulates Phd3 to ameliorate HIF-1 induced fibrosis and inflammation in adipose tissue.

Author

Min Kim, Neinast, Michael D., Frank, Aaron P., Kai Sun, Jiyoung Park, Zehr, Jordan A., Vishvanath, Lavanya, Morselli, Eugenia, Amelotte, Mason, Palmer, Biff F., Gupta, Rana K., Scherer, Philipp E., and Clegg, Deborah J.

Abstract

Hypoxia Inducible Factor 1 (HIF-1) promotes fibrosis and inflammation in adipose tissues, while estrogens and Estrogen Receptor α (ERα) have the opposite effect. Here we identify an Estrogen Response Element (ERE) in the promoter of Phd3, which is a negative regulatory enzyme of HIF-1, and we demonstrate HIF-1α is ubiquitinated following 17-β estradiol (E2)/ERα mediated Phd3 transcription. Manipulating ERα in vivo increases Phd3 transcription and reduces HIF-1 activity, while addition of PHD3 ameliorates adipose tissue fibrosis and inflammation. Our findings outline a novel regulatory relationship between E2/ERα, PHD3 and HIF-1 in adipose tissues, providing a mechanistic explanation for the protective effect of E2/ERα in adipose tissue. [ABSTRACT FROM AUTHOR]

Published
2014
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15. The Influence of Age and Sex on Genetic Associations with Adult Body Size and Shape: A Large-Scale Genome-Wide Interaction Study

Author

Winkler, Thomas W., Justice, Anne E., Graff, Mariaelisa, Barata, Llilda, Feitosa, Mary F., Chu, Su, Czajkowski, Jacek, Esko, Tõnu, Fall, Tove, Kilpeläinen, Tuomas O., Lu, Yingchang, Mägi, Reedik, Mihailov, Evelin, Pers, Tune H., Rüeger, Sina, Teumer, Alexander, Ehret, Georg B., Ferreira, Teresa, Heard-Costa, Nancy L., Karjalainen, Juha, Lagou, Vasiliki, Mahajan, Anubha, Neinast, Michael D., Prokopenko, Inga, Simino, Jeannette, Teslovich, Tanya M., Jansen, Rick, Westra, Harm-Jan, White, Charles C., Absher, Devin, Ahluwalia, Tarunveer S., Ahmad, Shafqat, Albrecht, Eva, Alves, Alexessander Couto, Bragg-Gresham, Jennifer L., de Craen, Anton J. M., Bis, Joshua C., Bonnefond, Amélie, Boucher, Gabrielle, Cadby, Gemma, Cheng, Yu-Ching, Chiang, Charleston W. K., Delgado, Graciela, Demirkan, Ayse, Dueker, Nicole, Eklund, Niina, Eiriksdottir, Gudny, Eriksson, Joel, Feenstra, Bjarke, Fischer, Krista, Frau, Francesca, Galesloot, Tessel E., Geller, Frank, Goel, Anuj, Gorski, Mathias, Grammer, Tanja B., Gustafsson, Stefan, Haitjema, Saskia, Hottenga, Jouke-Jan, Huffman, Jennifer E., Jackson, Anne U., Jacobs, Kevin B., Johansson, Åsa, Kaakinen, Marika, Kleber, Marcus E., Lahti, Jari, Leach, Irene Mateo, Lehne, Benjamin, Liu, Youfang, Lo, Ken Sin, Lorentzon, Mattias, Luan, Jian'an, Madden, Pamela A. F., Mangino, Massimo, McKnight, Barbara, Medina-Gomez, Carolina, Monda, Keri L., Montasser, May E., Müller, Gabriele, Müller-Nurasyid, Martina, Nolte, Ilja M., Panoutsopoulou, Kalliope, Pascoe, Laura, Paternoster, Lavinia, Rayner, Nigel W., Renström, Frida, Rizzi, Federica, Rose, Lynda M., Ryan, Kathy A., Salo, Perttu, Sanna, Serena, Scharnagl, Hubert, Shi, Jianxin, Smith, Albert Vernon, Southam, Lorraine, Stančáková, Alena, Steinthorsdottir, Valgerdur, Strawbridge, Rona J., Sung, Yun Ju, Tachmazidou, Ioanna, Tanaka, Toshiko, Thorleifsson, Gudmar, Trompet, Stella, Pervjakova, Natalia, Tyrer, Jonathan P., Vandenput, Liesbeth, van der Laan, Sander W, van der Velde, Nathalie, van Setten, Jessica, van Vliet-Ostaptchouk, Jana V., Verweij, Niek, Vlachopoulou, Efthymia, Waite, Lindsay L., Wang, Sophie R., Wang, Zhaoming, Wild, Sarah H., Willenborg, Christina, Wilson, James F., Wong, Andrew, Yang, Jian, Yengo, Loïc, Yerges-Armstrong, Laura M., Yu, Lei, Zhang, Weihua, Zhao, Jing Hua, Andersson, Ehm A., Bakker, Stephan J. L., Baldassarre, Damiano, Banasik, Karina, Barcella, Matteo, Barlassina, Cristina, Bellis, Claire, Benaglio, Paola, Blangero, John, Blüher, Matthias, Bonnet, Fabrice, Bonnycastle, Lori L., Boyd, Heather A., Bruinenberg, Marcel, Buchman, Aron S, Campbell, Harry, Chen, Yii-Der Ida, Chines, Peter S., Claudi-Boehm, Simone, Cole, John, Collins, Francis S., de Geus, Eco J. C., de Groot, Lisette C. P. G. M., Dimitriou, Maria, Duan, Jubao, Enroth, Stefan, Eury, Elodie, Farmaki, Aliki-Eleni, Forouhi, Nita G., Friedrich, Nele, Gejman, Pablo V., Gigante, Bruna, Glorioso, Nicola, Go, Alan S., Gottesman, Omri, Gräßler, Jürgen, Grallert, Harald, Grarup, Niels, Gu, Yu-Mei, Broer, Linda, Ham, Annelies C., Hansen, Torben, Harris, Tamara B., Hartman, Catharina A., Hassinen, Maija, Hastie, Nicholas, Hattersley, Andrew T., Heath, Andrew C., Henders, Anjali K., Hernandez, Dena, Hillege, Hans, Holmen, Oddgeir, Hovingh, Kees G, Hui, Jennie, Husemoen, Lise L., Hutri-Kähönen, Nina, Hysi, Pirro G., Illig, Thomas, De Jager, Philip L., Jalilzadeh, Shapour, Jørgensen, Torben, Jukema, J. Wouter, Juonala, Markus, Kanoni, Stavroula, Karaleftheri, Maria, Khaw, Kay Tee, Kinnunen, Leena, Kittner, Steven J., Koenig, Wolfgang, Kolcic, Ivana, Kovacs, Peter, Krarup, Nikolaj T., Kratzer, Wolfgang, Krüger, Janine, Kuh, Diana, Kumari, Meena, Kyriakou, Theodosios, Langenberg, Claudia, Lannfelt, Lars, Lanzani, Chiara, Lotay, Vaneet, Launer, Lenore J., Leander, Karin, Lindström, Jaana, Linneberg, Allan, Liu, Yan-Ping, Lobbens, Stéphane, Luben, Robert, Lyssenko, Valeriya, Männistö, Satu, Magnusson, Patrik K., McArdle, Wendy L., Menni, Cristina, Merger, Sigrun, Milani, Lili, Montgomery, Grant W., Morris, Andrew P., Narisu, Narisu, Nelis, Mari, Ong, Ken K., Palotie, Aarno, Pérusse, Louis, Pichler, Irene, Pilia, Maria G., Pouta, Anneli, Rheinberger, Myriam, Ribel-Madsen, Rasmus, Richards, Marcus, Rice, Kenneth M., Rice, Treva K., Rivolta, Carlo, Salomaa, Veikko, Sanders, Alan R., Sarzynski, Mark A., Scholtens, Salome, Scott, Robert A., Scott, William R., Sebert, Sylvain, Sengupta, Sebanti, Sennblad, Bengt, Seufferlein, Thomas, Silveira, Angela, Slagboom, P. Eline, Smit, Jan H., Sparsø, Thomas H., Stirrups, Kathleen, Stolk, Ronald P., Stringham, Heather M., Swertz, Morris A, Swift, Amy J., Syvänen, Ann-Christine, Tan, Sian-Tsung, Thorand, Barbara, Tönjes, Anke, Tremblay, Angelo, Tsafantakis, Emmanouil, van der Most, Peter J., Völker, Uwe, Vohl, Marie-Claude, Vonk, Judith M., Waldenberger, Melanie, Walker, Ryan W., Wennauer, Roman, Widén, Elisabeth, Willemsen, Gonneke, Wilsgaard, Tom, Wright, Alan F., Zillikens, M. Carola, van Dijk, Suzanne C., van Schoor, Natasja M., Asselbergs, Folkert W., de Bakker, Paul I. W., Beckmann, Jacques S., Beilby, John, Bennett, David A., Bergman, Richard N., Bergmann, Sven, Böger, Carsten A., Boehm, Bernhard O., Boerwinkle, Eric, Boomsma, Dorret I., Bornstein, Stefan R., Bottinger, Erwin P., Bouchard, Claude, Chambers, John C., Chanock, Stephen J., Chasman, Daniel I., Cucca, Francesco, Cusi, Daniele, Dedoussis, George, Erdmann, Jeanette, Eriksson, Johan G., Evans, Denis A., de Faire, Ulf, Farrall, Martin, Ferrucci, Luigi, Ford, Ian, Franke, Lude, Franks, Paul W., Froguel, Philippe, Gansevoort, Ron T., Gieger, Christian, Grönberg, Henrik, Gudnason, Vilmundur, Gyllensten, Ulf, Hall, Per, Hamsten, Anders, van der Harst, Pim, Hayward, Caroline, Heliövaara, Markku, Hengstenberg, Christian, Hicks, Andrew A, Hingorani, Aroon, Hofman, Albert, Hu, Frank, Huikuri, Heikki V., Hveem, Kristian, James, Alan L., Jordan, Joanne M., Jula, Antti, Kähönen, Mika, Kajantie, Eero, Kathiresan, Sekar, Kiemeney, Lambertus A. L. M., Kivimaki, Mika, Knekt, Paul B., Koistinen, Heikki A., Kooner, Jaspal S., Koskinen, Seppo, Kuusisto, Johanna, Maerz, Winfried, Martin, Nicholas G, Laakso, Markku, Lakka, Timo A., Lehtimäki, Terho, Lettre, Guillaume, Levinson, Douglas F., Lind, Lars, Lokki, Marja-Liisa, Mäntyselkä, Pekka, Melbye, Mads, Metspalu, Andres, Mitchell, Braxton D., Moll, Frans L., Murray, Jeffrey C., Musk, Arthur W., Nieminen, Markku S., Njølstad, Inger, Ohlsson, Claes, Oldehinkel, Albertine J., Oostra, Ben A., Palmer, Lyle J, Pankow, James S., Pasterkamp, Gerard, Pedersen, Nancy L., Pedersen, Oluf, Penninx, Brenda W., Perola, Markus, Peters, Annette, Polašek, Ozren, Pramstaller, Peter P., Psaty, Bruce M., Qi, Lu, Quertermous, Thomas, Raitakari, Olli T., Rankinen, Tuomo, Rauramaa, Rainer, Ridker, Paul M., Rioux, John D., Rivadeneira, Fernando, Rotter, Jerome I., Rudan, Igor, den Ruijter, Hester M., Saltevo, Juha, Sattar, Naveed, Schunkert, Heribert, Schwarz, Peter E. H., Shuldiner, Alan R., Sinisalo, Juha, Snieder, Harold, Sørensen, Thorkild I. A., Spector, Tim D., Staessen, Jan A., Stefania, Bandinelli, Thorsteinsdottir, Unnur, Stumvoll, Michael, Tardif, Jean-Claude, Tremoli, Elena, Tuomilehto, Jaakko, Uitterlinden, André G., Uusitupa, Matti, Verbeek, André L. M., Vermeulen, Sita H., Viikari, Jorma S., Vitart, Veronique, Völzke, Henry, Vollenweider, Peter, Waeber, Gérard, Walker, Mark, Wallaschofski, Henri, Wareham, Nicholas J., Watkins, Hugh, Zeggini, Eleftheria, Chakravarti, Aravinda, Clegg, Deborah J., Cupples, L. Adrienne, Gordon-Larsen, Penny, Jaquish, Cashell E., Rao, D. C., Abecasis, Goncalo R., Assimes, Themistocles L., Barroso, Inês, Berndt, Sonja I., Boehnke, Michael, Deloukas, Panos, Fox, Caroline S., Groop, Leif C., Hunter, David J., Ingelsson, Erik, Kaplan, Robert C., McCarthy, Mark I., Mohlke, Karen L., O'Connell, Jeffrey R., Schlessinger, David, Strachan, David P., Stefansson, Kari, van Duijn, Cornelia M., Hirschhorn, Joel N., Lindgren, Cecilia M., Heid, Iris M., North, Kari E., Borecki, Ingrid B., Kutalik, Zoltán, and Loos, Ruth J. F.

Abstract

Genome-wide association studies (GWAS) have identified more than 100 genetic variants contributing to BMI, a measure of body size, or waist-to-hip ratio (adjusted for BMI, WHRadjBMI), a measure of body shape. Body size and shape change as people grow older and these changes differ substantially between men and women. To systematically screen for age- and/or sex-specific effects of genetic variants on BMI and WHRadjBMI, we performed meta-analyses of 114 studies (up to 320,485 individuals of European descent) with genome-wide chip and/or Metabochip data by the Genetic Investigation of Anthropometric Traits (GIANT) Consortium. Each study tested the association of up to ~2.8M SNPs with BMI and WHRadjBMI in four strata (men ≤50y, men >50y, women ≤50y, women >50y) and summary statistics were combined in stratum-specific meta-analyses. We then screened for variants that showed age-specific effects (G x AGE), sex-specific effects (G x SEX) or age-specific effects that differed between men and women (G x AGE x SEX). For BMI, we identified 15 loci (11 previously established for main effects, four novel) that showed significant (FDR<5%) age-specific effects, of which 11 had larger effects in younger (<50y) than in older adults (≥50y). No sex-dependent effects were identified for BMI. For WHRadjBMI, we identified 44 loci (27 previously established for main effects, 17 novel) with sex-specific effects, of which 28 showed larger effects in women than in men, five showed larger effects in men than in women, and 11 showed opposite effects between sexes. No age-dependent effects were identified for WHRadjBMI. This is the first genome-wide interaction meta-analysis to report convincing evidence of age-dependent genetic effects on BMI. In addition, we confirm the sex-specificity of genetic effects on WHRadjBMI. These results may provide further insights into the biology that underlies weight change with age or the sexually dimorphism of body shape.

Published
2015
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