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Branched chain amino acids are novel biomarkers for discrimination of metabolic wellness.

Publication ,  Journal Article
Batch, BC; Shah, SH; Newgard, CB; Turer, CB; Haynes, C; Bain, JR; Muehlbauer, M; Patel, MJ; Stevens, RD; Appel, LJ; Newby, LK; Svetkey, LP
Published in: Metabolism
July 2013

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/m²), overweight (BMI≥25kg/m², BMI<30kg/m²) or obese (BMI≥30kg/m²). 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.

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Published In

Metabolism

DOI

EISSN

1532-8600

Publication Date

July 2013

Volume

62

Issue

7

Start / End Page

961 / 969

Location

United States

Related Subject Headings

  • Thinness
  • Principal Component Analysis
  • Overweight
  • Obesity
  • Middle Aged
  • Metabolomics
  • Metabolic Syndrome
  • Metabolic Diseases
  • Male
  • Insulin Resistance
 

Citation

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Batch, B. C., Shah, S. H., Newgard, C. B., Turer, C. B., Haynes, C., Bain, J. R., … Svetkey, L. P. (2013). Branched chain amino acids are novel biomarkers for discrimination of metabolic wellness. Metabolism, 62(7), 961–969. https://doi.org/10.1016/j.metabol.2013.01.007
Batch, Bryan C., Svati H. Shah, Christopher B. Newgard, Christy B. Turer, Carol Haynes, James R. Bain, Michael Muehlbauer, et al. “Branched chain amino acids are novel biomarkers for discrimination of metabolic wellness.Metabolism 62, no. 7 (July 2013): 961–69. https://doi.org/10.1016/j.metabol.2013.01.007.
Batch BC, Shah SH, Newgard CB, Turer CB, Haynes C, Bain JR, et al. Branched chain amino acids are novel biomarkers for discrimination of metabolic wellness. Metabolism. 2013 Jul;62(7):961–9.
Batch, Bryan C., et al. “Branched chain amino acids are novel biomarkers for discrimination of metabolic wellness.Metabolism, vol. 62, no. 7, July 2013, pp. 961–69. Pubmed, doi:10.1016/j.metabol.2013.01.007.
Batch BC, Shah SH, Newgard CB, Turer CB, Haynes C, Bain JR, Muehlbauer M, Patel MJ, Stevens RD, Appel LJ, Newby LK, Svetkey LP. Branched chain amino acids are novel biomarkers for discrimination of metabolic wellness. Metabolism. 2013 Jul;62(7):961–969.
Journal cover image

Published In

Metabolism

DOI

EISSN

1532-8600

Publication Date

July 2013

Volume

62

Issue

7

Start / End Page

961 / 969

Location

United States

Related Subject Headings

  • Thinness
  • Principal Component Analysis
  • Overweight
  • Obesity
  • Middle Aged
  • Metabolomics
  • Metabolic Syndrome
  • Metabolic Diseases
  • Male
  • Insulin Resistance