Document Detail

Branched chain amino acids are novel biomarkers for discrimination of metabolic wellness.
MedLine Citation:
PMID:  23375209     Owner:  NLM     Status:  Publisher    
OBJECTIVE: To identify novel biomarkers through metabolomic profiles that distinguish metabolically well (MW) from metabolically unwell (MUW) individuals, independent of body mass index (BMI). MATERIALS/METHODS: This study was conducted as part of the Measurement to Understand the Reclassification of Disease of Cabarrus/Kannapolis (MURDOCK) project. Individuals from 3 cohorts were classified as lean (BMI<25kg/m(2)), overweight (BMI≥25kg/m(2), BMI<30kg/m(2)) or obese (BMI≥30kg/m(2)). Cardiometabolic abnormalities were defined as: (1) impaired fasting glucose (≥100mg/dL and ≤126mg/dL); (2) hypertension; (3) triglycerides ≥150mg/dL; (4) HDL-C <40mg/dL in men, <50mg/dL in women; and (5) insulin resistance (calculated Homeostatic Model Assessment (HOMA-IR) index of >5.13). MW individuals were defined as having <2 cardiometabolic abnormalities and MUW individuals had≥two cardiometabolic abnormalities. Targeted profiling of 55 metabolites used mass-spectroscopy-based methods. Principal components analysis (PCA) was used to reduce the large number of correlated metabolites into clusters of fewer uncorrelated factors. RESULTS: Of 1872 individuals, 410 were lean, 610 were overweight, and 852 were obese. Of lean individuals, 67% were categorized as MUW, whereas 80% of overweight and 87% of obese individuals were MUW. PCA-derived factors with levels that differed the most between MW and MUW groups were factors 4 (branched chain amino acids [BCAA]) [p<.0001], 8 (various metabolites) [p<.0001], 9 (C4/Ci4, C3, C5 acylcarnitines) [p<.0001] and 10 (amino acids) [p<.0002]. Further, Factor 4, distinguishes MW from MUW individuals independent of BMI. CONCLUSION: BCAA and related metabolites are promising biomarkers that may aid in understanding cardiometabolic health independent of BMI category.
Bryan C Batch; Svati H Shah; Christopher B Newgard; Christy B Turer; Carol Haynes; James R Bain; Michael Muehlbauer; Mahesh J Patel; Robert D Stevens; Lawrence J Appel; L Kristin Newby; Laura P Svetkey
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Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2013-1-31
Journal Detail:
Title:  Metabolism: clinical and experimental     Volume:  -     ISSN:  1532-8600     ISO Abbreviation:  Metab. Clin. Exp.     Publication Date:  2013 Jan 
Date Detail:
Created Date:  2013-2-4     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  0375267     Medline TA:  Metabolism     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Copyright Information:
Copyright © 2013 Elsevier Inc. All rights reserved.
Division of Endocrinology, Metabolism, and Nutrition, Duke University Medical Center, Durham, NC 27710, USA; Sarah W. Stedman Nutrition and Metabolism Center, Duke University, Durham, NC 27710, USA. Electronic address:
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