Work

Sex-specific systemic metabolic predictors of resistance to calorie restriction-induced weight loss in obese diversity outbred mice

Year: 2025

Type: article

Abstract: Using a population of obese diversity outbred (DO) mice, we interrogated plasma predictors of resistance to calorie restriction-induced weight loss in nonresponders versus responders to the diet intervention. Lower leptin levels significantly predicted resistance in both sexes. Sexually dimorphic predictors included lower levels of glucose in males and insulin, resistin, and plasminogen activator inhibitor-1 (PAI-1) in females. Hence, genetically and phenotypically heterogeneous diversity outbred mice may be useful for identifying metabolic predictors for personalizing weight loss interventions.

Source: American Journal of Physiology-Regulatory, Integrative and Comparative Physiology

DOI: 10.1152/ajpregu.00220.2024

Authors: Evan M. Paules, Melissa VerHague, Anju A. Lulla, Katie A. Meyer, Michael F. Coleman, Jody Albright, Brian J. Bennett, Kari E. North, Annie Green Howard, Penny Gordon-Larsen, Isis Trujillo-Gonzalez, John E. French, Stephen D. Hursting

Institutions: University of North Carolina at Chapel Hill, United States Department of Agriculture, University of California System, Western Human Nutrition Research Center

Language: English

Topic: Regulation of Appetite and Obesity

Subfield: Endocrine and Autonomic Systems

Field: Neuroscience

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: green

Funders: University of North Carolina at Chapel Hill, National Heart, Lung, and Blood Institute, National Cancer Institute, National Institute of Diabetes and Digestive and Kidney Diseases, Division of Diabetes, Endocrinology, and Metabolic Diseases

Awards: G4855478099, Leveraging multi-omics approaches to examine metabolic challenges of obesity in relation to cardiovascular diseases, G622761962, Breaking the Obesity-Cancer Link: New Targets and Strategies, G692827476, Leveraging metabolic pathways and gene expression data to propel understanding of severe obesity, Nutrition Obesity Research Center (NORC)

OpenAlex ID: W4409577470

FWCI: 1.258

Cites: 58

Cited by: 3

Related to: 10