Interplay between lipids and branched-chain amino acids in development of insulin resistance
By Christopher B. Newgard. Cell Metabolism, 2012
1,035 citations recorded by the source corpus.
Summary Fatty acids (FA) and FA-derived metabolites have long been implicated in the development of insulin resistance and type 2 diabetes. Surprisingly, application of metabolomics technologies has revealed that branched-chain amino acids (BCAA) and related metabolites are more strongly associated with insulin resistance than many common lipid species. Moreover, the BCAA-related signature is predictive of incident diabetes and intervention outcomes, and uniquely responsive to therapeutic interventions. Nevertheless, in animal feeding studies, BCAA supplementation requires the background of a high-fat diet to promote insulin resistance. This article develops a model to explain how lipids and BCAA may synergize to promote metabolic diseases.
Subfields: Molecular Biology, Nutrition and Dietetics, Physiology
View Paper: https://www.semanticscholar.org/paper/15e6134460081077effa9d17883d59282ea4a32d
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Citations in the corpus
- Multi-dimensional roles of ketone bodies in fuel metabolism, signaling, and therapeutics (2017, background): “Perturbations of carbohydrate, lipid, and amino acid metabolism occur in and contribute to obesity, diabetes, and NAFLD in humans and in model organisms (reviewed in Farese et al., 2012; Lin and Accili, 2011; Newgard, 2012; Samuel and Shulman, 2012; Sun and Lazar, 2013).”
- Metabolomics and Metabolic Diseases: Where do we stand? (2016, background): “…including diabetes and cardiovascular diseases, and approaches such as genome-wide association studies (GWASs) have thus far explained only a small fraction of these diseases and made modest contributions to mechanism-based intervention strategies (O’Rahilly, 2009; Newgard and Attie, 2010).”
- The severity of NAFLD is associated with gut dysbiosis and shift in the metabolic function of the gut microbiota (2016, neutral): “AST, IU/L 40 (32-59) 36 (30-43) 32 (20-44) 56 (37-71) 0.”