Literature DB >> 25254000

Human metabolic correlates of body mass index.

Steven C Moore1, Charles E Matthews1, Joshua N Sampson1, Rachael Z Stolzenberg-Solomon1, Wei Zheng2, Qiuyin Cai2, Yu Ting Tan3, Wong-Ho Chow4, Bu-Tian Ji1, Da Ke Liu3, Qian Xiao1, Simina M Boca1, Michael F Leitzmann5, Gong Yang2, Yong Bing Xiang3, Rashmi Sinha1, Xiao Ou Shu2, Amanda J Cross1.   

Abstract

BACKGROUND: A high body mass index (BMI) is a major risk factor for several chronic diseases, but the biology underlying these associations is not well-understood. Dyslipidemia, inflammation, and elevated levels of growth factors and sex steroid hormones explain some of the increased disease risk, but other metabolic factors not yet identified may also play a role.
DESIGN: In order to discover novel metabolic biomarkers of BMI, we used non-targeted metabolomics to assay 317 metabolites in blood samples from 947 participants and examined the cross-sectional associations between metabolite levels and BMI. Participants were from three studies in the United States and China. Height, weight, and potential confounders were ascertained by questionnaire (US studies) or direct measurement (Chinese study). Metabolite levels were measured using liquid-phase chromatography and gas chromatography coupled with mass spectrometry. We evaluated study-specific associations using linear regression, adjusted for age, gender, and smoking, and we estimated combined associations using random effects meta-analysis.
RESULTS: The meta-analysis revealed 37 metabolites significantly associated with BMI, including 19 lipids, 12 amino acids, and 6 others, at the Bonferroni significance threshold (p<0.00016). Eighteen of these associations had not been previously reported, including histidine, an amino acid neurotransmitter, and butyrylcarnitine, a lipid marker of whole-body fatty acid oxidation. Heterogeneity by study was minimal (all Pheterogeneity >0.05). In total, 110 metabolites were associated with BMI at the p<0.05 level.
CONCLUSION: These findings establish a baseline for the BMI metabolome, and suggest new targets for researchers attempting to clarify mechanistic links between high BMIs and disease risk.

Entities:  

Keywords:  BMI; adiposity; epidemiology; metabolomics; obesity

Year:  2014        PMID: 25254000      PMCID: PMC4169991          DOI: 10.1007/s11306-013-0574-1

Source DB:  PubMed          Journal:  Metabolomics        ISSN: 1573-3882            Impact factor:   4.290


  39 in total

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Review 3.  Obesity and cardiovascular disease: pathophysiology, evaluation, and effect of weight loss: an update of the 1997 American Heart Association Scientific Statement on Obesity and Heart Disease from the Obesity Committee of the Council on Nutrition, Physical Activity, and Metabolism.

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Authors:  Janet B McGill; Thomas G Cole; William Nowatzke; Shannon Houghton; Erika B Ammirati; Theresa Gautille; Mark J Sarno
Journal:  Diabetes Care       Date:  2004-08       Impact factor: 19.112

Review 9.  Interplay between lipids and branched-chain amino acids in development of insulin resistance.

Authors:  Christopher B Newgard
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Authors:  Michelle C Venables; Carl J Hulston; Hannah R Cox; Asker E Jeukendrup
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  81 in total

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Review 5.  Metabolomics in epidemiologic research: challenges and opportunities for early-career epidemiologists.

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6.  Blood Metabolic Signatures of Body Mass Index: A Targeted Metabolomics Study in the EPIC Cohort.

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Journal:  J Proteome Res       Date:  2017-08-11       Impact factor: 4.466

7.  Objectively measured physical activity and plasma metabolomics in the Shanghai Physical Activity Study.

Authors:  Qian Xiao; Steven C Moore; Sarah K Keadle; Yong-Bing Xiang; Wei Zheng; Tricia M Peters; Michael F Leitzmann; Bu-Tian Ji; Joshua N Sampson; Xiao-Ou Shu; Charles E Matthews
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8.  Comparing metabolite profiles of habitual diet in serum and urine.

Authors:  Mary C Playdon; Joshua N Sampson; Amanda J Cross; Rashmi Sinha; Kristin A Guertin; Kristin A Moy; Nathaniel Rothman; Melinda L Irwin; Susan T Mayne; Rachael Stolzenberg-Solomon; Steven C Moore
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9.  Serum Metabolomic Profiling of All-Cause Mortality: A Prospective Analysis in the Alpha-Tocopherol, Beta-Carotene Cancer Prevention (ATBC) Study Cohort.

Authors:  Jiaqi Huang; Stephanie J Weinstein; Steven C Moore; Andriy Derkach; Xing Hua; Linda M Liao; Fangyi Gu; Alison M Mondul; Joshua N Sampson; Demetrius Albanes
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10.  Obesity-related metabolite profiles of black women spanning the epidemiologic transition.

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Journal:  Metabolomics       Date:  2016-02-05       Impact factor: 4.290

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