Metabolic liability for weight gain in early adulthood

被引:2
作者
Murthy, Venkatesh L. [1 ]
Mosley, Jonathan D. [2 ]
Perry, Andrew S. [2 ]
Jacobs, David R. [3 ]
Tanriverdi, Kahraman [2 ,4 ]
Zhao, Shilin [2 ]
Sawicki, Konrad T. [4 ]
Carnethon, Mercedes [4 ]
Wilkins, John T. [4 ]
Nayor, Matthew [5 ]
Das, Saumya [6 ]
Abel, E. Dale [7 ]
Freedman, Jane E. [2 ]
Clish, Clary B. [8 ]
Shah, Ravi V. [2 ]
机构
[1] Univ Michigan, Dept Med, Div Cardiovasc Med, Ann Arbor, MI 48109 USA
[2] Vanderbilt Univ, Sch Med, Vanderbilt Translat & Clin Cardiovasc Res Ctr, Nashville, TN 37232 USA
[3] Univ Minnesota, Sch Publ Hlth, Div Epidemiol & Community Hlth, Minneapolis, MN USA
[4] Northwestern Univ, Chicago, IL USA
[5] Boston Univ, Sch Med, Sect Cardiovasc Med, Dept Med, Boston, MA USA
[6] Massachusetts Gen Hosp, Cardiol Div, Boston, MA USA
[7] Univ Calif Los Angeles, David Geffen Sch Med, Dept Med, Los Angeles, CA USA
[8] Broad Inst Harvard & MIT, Cambridge, MA USA
关键词
FIBROBLAST GROWTH FACTOR-23; ARTERY RISK DEVELOPMENT; CHAIN AMINO-ACIDS; ENERGY-EXPENDITURE; PHYSICAL-ACTIVITY; BODY-WEIGHT; NUTRIENT METABOLISM; LIPID-METABOLISM; ADIPOSE-TISSUE; PARTICLE-SIZE;
D O I
10.1016/j.xcrm.2024.101548
中图分类号
Q2 [细胞生物学];
学科分类号
071009 ; 090102 ;
摘要
While weight gain is associated with a host of chronic illnesses, efforts in obesity have relied on single "snapshots" of body mass index (BMI) to guide genetic and molecular discovery. Here, we study >2,000 young adults with metabolomics and proteomics to identify a metabolic liability to weight gain in early adulthood. Using longitudinal regression and penalized regression, we identify a metabolic signature for weight liability, associated with a 2.6% (2.0%-3.2%, p = 7.5 x 10 (- 19) ) gain in BMI over approximate to 20 years per SD higher score, after comprehensive adjustment. Identified molecules specified mechanisms of weight gain, including hunger and appetite regulation, energy expenditure, gut microbial metabolism, and host interaction with external exposure. Integration of longitudinal and concurrent measures in regression with Mendelian randomization highlights the complexity of metabolic regulation of weight gain, suggesting caution in interpretation of epidemiologic or genetic effect estimates traditionally used in metabolic research.
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页数:20
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