Associations between plasma branched-chain amino acids, β-aminoisobutyric acid and body composition
Open accessAbstract
Plasma branched-chain amino acids (BCAA) are elevated in obesity and associated with increased cardiometabolic risk. β-Aminoisobutyric acid (B-AIBA), a recently identified small molecule metabolite, is associated with decreased cardiometabolic risk. Therefore, we investigated the association of BCAA and B-AIBA with each other and with detailed body composition parameters, including abdominal visceral adipose tissue (VAT) and subcutaneous adipose tissue (SAT). A cross-sectional study was carried out with lean (n 15) and obese (n 33) men and women. Detailed metabolic evaluations, including measures of body composition, insulin sensitivity and plasma metabolomics were completed. Plasma BCAA were higher (1·6 (se 0·08) (×10(7)) v. 1·3 (se 0·06) (×10(7)) arbitrary units; P = 0·005) in obese v. lean subjects. BCAA were positively associated with VAT (R 0·49; P = 0·0006) and trended to an association with SAT (R 0·29; P = 0·052). The association between BCAA and VAT, but not SAT, remained significant after controlling for age, sex and race on multivariate modelling (P < 0·05). BCAA were also associated with parameters of insulin sensitivity (Matsuda index: R -0·50, P = 0·0004; glucose AUC: R 0·53, P < 0·001). BCAA were not associated with B-AIBA (R -0·04; P = 0·79). B-AIBA was negatively associated with SAT (R -0·37; P = 0·01) but only trended to an association with VAT (R 0·27; P = 0·07). However, neither relationship remained significant after multivariate modelling (P > 0·05). Plasma B-AIBA was associated with parameters of insulin sensitivity (Matsuda index R 0·36, P = 0·01; glucose AUC: R -0·30, P = 0·04). Plasma BCAA levels were positively correlated with VAT and markers of insulin resistance. The results suggest a possible complex role of adipose tissue in BCAA homeostasis and insulin resistance.
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A study showed negative correlations between BAIBA levels and percentage of body fat, total fat mass, subcutaneous adipose tissue, and visceral adipose tissue, and a positive association with lean mass in obese vs. healthy adults.
“A study showed negative correlations between BAIBA levels and percentage of body fat, total fat mass, subcutaneous adipose tissue (scAT), and VAT, and a positive association with lean mass in obese vs. healthy adults [105].”
From The Role of Exercise in the Interplay between Myokines, Hepatokines, Osteokines, Adipokines, and Modulation of Inflammation for Energy Substrate Redistribution and Fat Mass Loss: A Review (2020) · cites this paper as [105]
Results, Table 2 (page unavailable) reports negative univariate correlations of B-AIBA with body-fat percentage and subcutaneous adipose tissue, and a positive correlation with lean-body percentage, in a sample of lean and obese adults. It does not report a B-AIBA correlation with total fat mass; the negative correlation with visceral adipose tissue was only a nonsignificant trend (R −0.27, P = 0.07). The Discussion adds that the body-fat-percentage and subcutaneous-tissue associations were no longer significant in multivariate analyses. (LLM, conf=0.89)
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Cites
Ng, M., Fleming, T., Robinson, M., Thomson, B., Graetz, N., Margono, C., Mullany, E. C., Biryukov, S., Abbafati, C., Abera, S. F., et al. (2014) · The Lancet · doi:10.1016/s0140-6736(14)60460-8 · Cited by 11,952 · see citing works
Matsuda, M., & DeFronzo, R. A. (1999) · Diabetes Care · doi:10.2337/diacare.22.9.1462 · Cited by 5,621 · see citing works
Newgard, C. B., An, J., Bain, J. R., Muehlbauer, M. J., Stevens, R. D., Lien, L. F., Haqq, A. M., Shah, S. H., Arlotto, M., Slentz, C. A., et al. (2009) · Cell Metabolism · doi:10.1016/j.cmet.2009.02.002 · Cited by 3,165 · see citing works
Metabolite profiles and the risk of developing diabetes
Wang, T. J., Larson, M. G., Vasan, R. S., Cheng, S., Rhee, E. P., McCabe, E., Lewis, G. D., Fox, C. S., Jacques, P. F., Fernandez, C., et al. (2011) · Nature Medicine · doi:10.1038/nm.2307 · Cited by 3,143 · see citing works
Pathophysiology of human visceral obesity: an update
Tchernof, A., & Després, J.-P. (2013) · Physiological Reviews · doi:10.1152/physrev.00033.2011 · Cited by 2,583 · see citing works
Plasma Amino Acid Levels and Insulin Secretion in Obesity
Felig, P., Marliss, E., & Cahill, G. F. (1969) · New England Journal of Medicine · doi:10.1056/nejm196910092811503 · Cited by 812 · see citing works
Roberts, L. D., Boström, P., O’Sullivan, J. F., Schinzel, R. T., Lewis, G. D., Dejam, A., Lee, Y.-K., Palma, M. J., Calhoun, S., Georgiadi, A., et al. (2014) · Cell Metabolism · doi:10.1016/j.cmet.2013.12.003 · Cited by 643 · see citing works
Metabolite Profiling Identifies Pathways Associated With Metabolic Risk in Humans
Cheng, S. C., Rhee, E. P., Larson, M. G., Lewis, G. D., McCabe, E. L., Shen, D., Palma, M. J., Roberts, L. D., Dejam, A., Souza, A. L., et al. (2012) · Circulation · doi:10.1161/circulationaha.111.067827 · Cited by 588 · see citing works
Branched-Chain Amino Acids: Enzyme and Substrate Regulation
Brosnan, J. T., & Brosnan, M. E. (2006) · The Journal of Nutrition · doi:10.1093/jn/136.1.207s · Cited by 577 · see citing works
She, P., Horn, C. V., Reid, T., Hutson, S. M., Cooney, R. N., & Lynch, C. J. (2007) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.00134.2007 · Cited by 504 · see citing works
Abdominal Subcutaneous Adipose Tissue: A Protective Fat Depot?
Porter, S. A., Massaro, J., Hoffmann, U., Vasan, R., O'Donnel, C., & Fox, C. (2009) · Diabetes Care · doi:10.2337/dc08-2280 · Cited by 501 · see citing works
Assessment of abdominal fat content by computed tomography
Borkan, G. A., Gerzof, S. G., Robbins, A. H., Hults, D. E., Silbert, C. K., & Silbert, J. E. (1982) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/36.1.172 · Cited by 491 · see citing works
Tai, E. S., Tan, M. L. S., Stevens, R. D., Low, Y.-L., Muehlbauer, M. J., Goh, D. L. M., Ilkayeva, O., Wenner, B. R., Bain, J. R., Lee, J. J. M., et al. (2010) · Diabetologia · doi:10.1007/s00125-009-1637-8 · Cited by 471 · see citing works
A molecular model of human branched-chain amino acid metabolism
Suryawan, A., Hawes, J. W., Harris, R. A., Shimomura, Y., Jenkins, A. E., & Hutson, S. M. (1998) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/68.1.72 · Cited by 414 · see citing works
Shaham, O., Wei, R., Wang, T. J., Ricciardi, C., Lewis, G. D., Vasan, R. S., Carr, S. A., Thadhani, R., Gerszten, R. E., & Mootha, V. K. (2008) · Molecular Systems Biology · doi:10.1038/msb.2008.50 · Cited by 399 · see citing works
Adipose Tissue Branched Chain Amino Acid (BCAA) Metabolism Modulates Circulating BCAA Levels
Herman, M. A., She, P., Peroni, O. D., Lynch, C. J., & Kahn, B. B. (2010) · Journal of Biological Chemistry · doi:10.1074/jbc.m109.075184 · Cited by 395 · see citing works
Emerging perspectives on essential amino acid metabolism in obesity and the insulin-resistant state
Adams, S. H. (2011) · Advances in Nutrition · doi:10.3945/an.111.000737 · Cited by 394 · see citing works
Mechanism of Amino Acid-Induced Skeletal Muscle Insulin Resistance in Humans
Krebs, M., Krssak, M., Bernroider, E., Anderwald, C., Brehm, A., Meyerspeer, M., Nowotny, P., Roth, E., Waldhäusl, W., & Roden, M. (2002) · Diabetes · doi:10.2337/diabetes.51.3.599 · Cited by 392 · see citing works
Shah, S. H., Crosslin, D. R., Haynes, C. S., Nelson, S. C., Turer, C. B., Stevens, R. D., Muehlbauer, M. J., Wenner, B. R., Bain, J. R., Laferrère, B., et al. (2011) · Diabetologia · doi:10.1007/s00125-011-2356-5 · Cited by 347 · see citing works
Lackey, D. E., Lynch, C. J., Olson, K. C., Mostaedi, R., Ali, M., Smith, W. H., Karpe, F., Humphreys, S. M., Bedinger, D., Dunn, T. N., et al. (2013) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.00630.2012 · Cited by 317 · see citing works
Pathophysiology and Pathogenesis of Visceral Fat Obesity
Matsuzawa, Y., Shimomura, I., Nakamura, T., Keno, Y., Kotani, K., & Tokunaga, K. (1995) · Obesity Research · doi:10.1002/j.1550-8528.1995.tb00462.x · Cited by 300 · see citing works
Branched-Chain Amino Acid Metabolism: Implications for Establishing Safe Intakes
Hutson, S. M., Sweatt, A. J., & LaNoue, K. F. (2005) · Journal of Nutrition · doi:10.1093/jn/135.6.1557s · Cited by 262 · see citing works
Effect of long-term dietary protein intake on glucose metabolism in humans
Linn, T., Santosa, B., Grönemeyer, D., Aygen, S., Scholz, N., Busch, M., & Bretzel, R. G. (2000) · Diabetologia · doi:10.1007/s001250051521 · Cited by 241 · see citing works
Plasma Amino Acid Levels and Insulin Secretion in Obesity
Felig, P. (1970) · Laboratory Medicine · doi:10.1093/labmed/1.9.39 · Cited by 213 · see citing works
Insulin resistance and the metabolism of branched-chain amino acids in humans
Adeva‐Andany, M. M., Calviño, J., Souto, G., & Donapetry, C. (2011) · Amino Acids · doi:10.1007/s00726-011-1088-7 · Cited by 158 · see citing works
Newgard, C. B., An, J., Bain, J. R., Muehlbauer, M. J., Stevens, R. D., Lien, L. F., Haqq, A. M., Shah, S. H., Arlotto, M. E., Slentz, C. A., et al. (2009) · Cell Metabolism · doi:10.1016/j.cmet.2009.05.001 · Cited by 147 · see citing works
A Novel Branched-chain Amino Acid Metabolon
Islam, M. M., Wallin, R., Wynn, R. M., Conway, M., Fujii, H., Mobley, J. A., Chuang, D. T., & Hutson, S. M. (2007) · Journal of Biological Chemistry · doi:10.1074/jbc.m700198200 · Cited by 107 · see citing works
Lifestyle Modification in Metabolic Syndrome and Associated Changes in Plasma Amino Acid Profiles
Kamaura, M., Nishijima, K., Takahashi, M., Ando, T., Mizushima, S., & Tochikubo, O. (2010) · Circulation Journal · doi:10.1253/circj.cj-10-0150 · Cited by 37 · see citing works
Begriche, K., Massart, J., & Fromenty, B. (2009) · Fundamental and Clinical Pharmacology · doi:10.1111/j.1472-8206.2009.00765.x · Cited by 36 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Quality assurance procedures for mass spectrometry untargeted metabolomics. a review
Dudzik, D., Barbas-Bernardos, C., Garcı́a, A., & Barbas, C. (2017) · Journal of Pharmaceutical and Biomedical Analysis · doi:10.1016/j.jpba.2017.07.044 · Cited by 346 · see citing works
Tavella, T., Rampelli, S., Guidarelli, G., Bazzocchi, A., Gasperini, C., Pujos‐Guillot, E., Comte, B., Barone, M., Biagi, E., Candela, M., et al. (2021) · Gut Microbes · doi:10.1080/19490976.2021.1880221 · Cited by 299 · see citing works
Gonzalez-Gil, A. M., & Elizondo-Montemayor, L. (2020) · Nutrients · doi:10.3390/nu12061899 · Cited by 278 · see citing works
“BAIBA Ow/Ob: ?↓ (trends only) [104,105] AE: ? ↑ [106]↔ [107] (Healthy) CE: ↑ [104] (Healthy) ↑: METRNL (via ↑PGC-1α)* [100,104] ↑: OCN by osteoblasts [108]; leptin by adipocytes [109] ↓: TNF-α and MCP-1 by adipocytes [110] AT/Immune: ↑browning (↑UCP1, PRDM16, CIDEA) [104]; ↓inflammation (via AMPK→ ↓NF-κB) and ↑insulin…”
Branched chain amino acids, aging and age-related health
Couteur, D. G. L., Solon‐Biet, S. M., Cogger, V. C., Ribeiro, R. V., de Cabo, R., Raubenheimer, D., Cooney, G. J., & Simpson, S. J. (2020) · Ageing Research Reviews · doi:10.1016/j.arr.2020.101198 · Cited by 233 · see citing works
Biswas, D., Duffley, L., & Pulinilkunnil, T. (2019) · The FASEB Journal · doi:10.1096/fj.201802842rr · Cited by 124 · see citing works
Short, K. R., Chadwick, J. Q., Teague, A. M., Tullier, M. A., WOLBERT, L. D., COLEMAN, C. L., & Copeland, K. C. (2019) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2018-02698 · Cited by 68 · see citing works
Dietary Pattern and Plasma BCAA-Variations in Healthy Men and Women—Results from the KarMeN Study
Merz, B., Frommherz, L., Rist, M. J., Kulling, S. E., Bub, A., & Watzl, B. (2018) · Nutrients · doi:10.3390/nu10050623 · Cited by 61 · see citing works
Altered branched chain amino acid metabolism
Tobias, D. K., Mora, S., Verma, S., & Lawler, P. R. (2018) · Current Opinion in Cardiology · doi:10.1097/hco.0000000000000552 · Cited by 54 · see citing works
Gene–Environment Interactions on Body Fat Distribution
Li, X., & Qi, L. (2019) · International Journal of Molecular Sciences · doi:10.3390/ijms20153690 · Cited by 53 · see citing works
New insight of obesity-associated NAFLD: Dysregulated “crosstalk” between multi-organ and the liver?
Wang, Y., Wu, L.-L., Qi, X.-Y., Wang, Y.-Y., Liao, Z., Liu, J., & Xiao, X. (2022) · Genes & Diseases · doi:10.1016/j.gendis.2021.12.013 · Cited by 35 · see citing works
Concurrent profiling of polar metabolites and lipids in human plasma using HILIC-FTMS
Cai, X., & Li, R. (2016) · Scientific Reports · doi:10.1038/srep36490 · Cited by 31 · see citing works
Similarities between acylcarnitine profiles in large for gestational age newborns and obesity
Sánchez‐Pintos, P., de Castro, M.-J., Roca, I., Gracia, S. R., López, M., & Couce, M. L. (2017) · Scientific Reports · doi:10.1038/s41598-017-15809-4 · Cited by 28 · see citing works
Lind, L., Salihović, S., Risérus, U., Kullberg, J., Johansson, L., Ahlström, H. K., Eriksson, J. W., & Oscarsson, J. (2020) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/clinem/dgaa693 · Cited by 23 · see citing works
Dietary intake of branched-chain amino acids in relation to general and abdominal obesity
Asoudeh, F., Salari-Moghaddam, A., Keshteli, A. H., Esmaillzadeh, A., & Adibi, P. (2021) · Eating and Weight Disorders - Studies on Anorexia Bulimia and Obesity · doi:10.1007/s40519-021-01266-6 · Cited by 21 · see citing works
Audzeyenka, I., Szrejder, M., Rogacka, D., Angielski, S., Saleem, M. A., & Piwkowska, A. (2023) · Scientific Reports · doi:10.1038/s41598-023-27914-8 · Cited by 21 · see citing works
Human White Adipose Tissue Metabolome: Current Perspective
Kučera, J., Spáčil, Z., Friedecký, D., Novák, J., Pekár, M., & Vašků, J. B. (2018) · Obesity · doi:10.1002/oby.22336 · Cited by 20 · see citing works
Qin, X., Liu, P., Jin, L., Zhu, K., Yang, Y., Hou, Z., Zhang, H., & Zheng, Q. (2024) · Biomedicine & Pharmacotherapy · doi:10.1016/j.biopha.2024.116137 · Cited by 17 · see citing works
Morais, T., Seabra, A. L., Patrício, B. G., Guimarães, M., Nora, M. C., Oliveira, P. F., Alves, M. G., & Monteiro, M. P. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms22115695 · Cited by 16 · see citing works
Nierenberg, J. L., He, J., Li, C., Gu, X., Shi, M., Razavi, A. C., Mi, X., Li, S., Bazzano, L., Anderson, A. H., et al. (2019) · Metabolomics · doi:10.1007/s11306-019-1613-3 · Cited by 15 · see citing works
Association of plasma branched‐chain amino acids with overweight: A Mendelian randomization analysis
Liu, L., Wang, X., Liu, Y., Zhao, X., Xu, Z., Ma, Y., Xu, G., & Wen, D. (2021) · Obesity · doi:10.1002/oby.23240 · Cited by 14 · see citing works
Metabolic fingerprint of insulin resistance in human polymorphonuclear leucocytes
Palomino‐Schätzlein, M., Simó, R., Hernández, C., Ciudin, A., Mateos-Gregorio, P., Hernández‐Mijares, A., Pineda‐Lucena, A., & Herance, J. R. (2018) · PLoS ONE · doi:10.1371/journal.pone.0199351 · Cited by 13 · see citing works
Otto, L., Budde, K., Kastenmüller, G., Kaul, A., Völker, U., Völzke, H., Adamski, J., Kühn, J., Krumsiek, J., Artati, A., et al. (2020) · Scientific Reports · doi:10.1038/s41598-020-58430-8 · Cited by 13 · see citing works
Zhang, Y., Rao, S., Zhang, X., Peng, Z., Song, W., Xie, S., Cao, H., Zhang, Z., & Yang, W. (2024) · Nutrition Research · doi:10.1016/j.nutres.2024.06.009 · Cited by 12 · see citing works
Zhang, Y., Yin, B., Li, R., & He, P. (2018) · Molecules · doi:10.3390/molecules23010147 · Cited by 12 · see citing works
Identification of metabolic pathways underlying FGF1 and CHIR99021-mediated cardioprotection
Xu, B., Li, F., Zhang, W., Su, Y., Tang, L. Y., Li, P., Joshi, J., Yang, A., Li, D., Wang, Z., et al. (2022) · iScience · doi:10.1016/j.isci.2022.104447 · Cited by 10 · see citing works
Kim, I., Schutzler, S. E., Azhar, G., Wolfe, R. R., Ferrando, A. A., & Coker, R. H. (2017) · BMC Nutrition · doi:10.1186/s40795-017-0152-4 · Cited by 10 · see citing works
Faiz, H., & Malin, S. K. (2023) · Frontiers in Physiology · doi:10.3389/fphys.2023.1210567 · Cited by 8 · see citing works
Kouzu, H., Yano, T., Katano, S., Kawaharata, W., Ogura, K., Numazawa, R., Nagaoka, R., Ohori, K., Nishikawa, R., Ohwada, W., et al. (2024) · ESC Heart Failure · doi:10.1002/ehf2.14872 · Cited by 7 · see citing works
Cai, X., Li, W., Wang, L., Shi, Y., Gao, J., Wang, H., Lei, T., & Lu, J. (2024) · BMC Endocrine Disorders · doi:10.1186/s12902-024-01768-1 · Cited by 6 · see citing works
Serum branched-chain amino acids are mainly associated with body mass index and waist circumference
Liu, K., Borreggine, R., Gallart‐Ayala, H., Ivanišević, J., & Marques-Vidal, P. M. (2025) · Nutrition Metabolism and Cardiovascular Diseases · doi:10.1016/j.numecd.2025.103880 · Cited by 6 · see citing works
Katano, S., Yano, T., Kouzu, H., Nagaoka, R., Numazawa, R., Yamano, K., Fujisawa, Y., Ohori, K., Nagano, N., Fujito, T., et al. (2023) · Heart and Vessels · doi:10.1007/s00380-023-02308-y · Cited by 5 · see citing works
Soleimani, E., Rashnoo, F., Farhangi, M. A., Hosseini, B., Jafarzadeh, F., Shakarami, A., & Sadabadi, Y. (2023) · BMC Endocrine Disorders · doi:10.1186/s12902-023-01459-3 · Cited by 4 · see citing works
Association between gut microbiota and adrenal disease: a two-sample Mendelian randomized study
Zhang, Y.-Y., Liu, Y.-W., Chen, B., & Wan, Q. (2024) · Frontiers in Cellular and Infection Microbiology · doi:10.3389/fcimb.2024.1421128 · Cited by 4 · see citing works
Zhou, X., Lu, J., Wang, Z., Cheng, K. K., & Li, G. H. (2026) · Diabetes Obesity and Metabolism · doi:10.1111/dom.70565 · Cited by 2 · see citing works
Begriche, K., Massart, J., & Fromenty, B. (2026) · European Journal of Pharmacology · doi:10.1016/j.ejphar.2026.178879 · Cited by 2 · see citing works
Yang, S., Jian, J., Zhao, X., Wang, L., Chen, Z., & Liu, X. (2024) · Journal of Cancer · doi:10.7150/jca.100152 · Cited by 1 · see citing works
Association between β-amino-isobutyric acid (BAIBA) and cardiometabolic risk factors
Haidar, S. A., de Vries, N. K., Karavetian, M., Laviano, A., & Rached, M. (2019) · Mediterranean Journal of Nutrition and Metabolism · doi:10.3233/mnm-190294
Goñi, L., Fernández-Duval, G., Razquín, C., Toledo, E., Clish, C. B., Liang, L., Babió, N., Asensio, E. M., Castro‐Barquero, S., Li, J., et al. (2026) · Metabolism · doi:10.1016/j.metabol.2026.156763 · Cited by 2 · see citing works
- Authors
- Rietman, A., Stanley, T. L., Clish, C., Mootha, V., Mensink, M., Grinspoon, S. K., & Makimura, H.
- Affiliations
- Wageningen University & Research (NL)
- Harvard University (US)
- Broad Institute (US)
- Corresponding author
- Rietman, Annemarie
- Venue
- Journal of Nutritional Science
- Publisher
- Cambridge University Press (CUP)
- Published
- 2016
- Volume
- 5
- Pages
- e6-e6
- ISSN
- 2048-6790 (ISSN-L)
- PMC
- PMC4791517
- OpenAlex
- W2271529028
- Cited by
- 38
- References
- 29
- Citations by year
- 2026: 3 · 2025: 1 · 2024: 6 · 2023: 4 · 2022: 2 · 2021: 4 · 2020: 4 · 2019: 5 · 2018: 5 · 2017: 3 · 2016: 1
- FWCI
- 4.69
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Journal of Nutritional Science (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Socio-Environmental Systems Modeling (acceptedVersion, cc-by)
- Digital Access to Scholarship at Harvard (DASH) (Harvard University) (submittedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion, cc-by)
- Funders
- Harvard Catalyst (UL1-RR025758, M01RR01066)
- University of Cambridge
- European Foundation for the Study of Diabetes
- National Institutes of Health
- National Heart, Lung, and Blood Institute (R01HL085268)
- National Institute of Diabetes and Digestive and Kidney Diseases (K23DK089910, K23DK087857, P30DK040561)
- National Center for Research Resources (UL1RR025758, M01RR001066, M01-RR01066)
- Topics
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
- Health Sciences › Medicine › Epidemiology › Adipokines, Inflammation, and Metabolic Diseases
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diet, Metabolism, and Disease
- Keywords
- branched-chain amino acids, beta-aminoisobutyric acid, body composition, visceral adipose tissue, subcutaneous adipose tissue, obesity, insulin sensitivity, insulin resistance, cardiometabolic risk, adipose tissue, plasma metabolomics, Matsuda index, amino acid homeostasis, adipose tissue metabolism, sex differences, age differences, racial differences
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