Literature DB >> 25300275

Metabolomic biomarkers for obesity in humans: a short review.

Sebastian Rauschert1, Olaf Uhl, Berthold Koletzko, Christian Hellmuth.   

Abstract

BACKGROUND: The prevalence and incidence of obesity have become a major public health problem during the last decades, but the underlying biochemical and metabolic processes are not fully understood. Metabolomics, the science of small molecules of the metabolism, is helping to unravel these mechanisms via the identification of markers related to obesity. These biomarkers are used to prevent diseases in later life or for the early diagnosis of diseases. This review focuses on articles dealing with biomarkers for obesity. KEY MESSAGES: Branched-chain amino acids (BCAA), nonesterified fatty acids, organic acids, acylcarnitines, and phospholipids were identified as potential biomarkers for obesity. This indicates a relation between elevated BCAA, and other amino acids, and the obese state. Furthermore, deregulation of β-oxidation is associated with the development of obesity. The results have several limitations, including the differing ages of the subjects in the studies, the fact that all of the studies had a case-control design and therefore no causal explanatory power, and that most looked for similar metabolites and reported almost equal results.
CONCLUSION: The strength of this review is that it gives a comprehensive overview of the current status of the knowledge on metabolomics biomarkers for obesity, but further research is needed because the methods used in the studies to date are very homogenous, e.g. most used a targeted approach and therefore analyzed almost the same group of metabolites. Moreover, prospective studies are lacking since all of the studies are either case-control or cross-sectional studies.
© 2014 S. Karger AG, Basel.

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Year:  2014        PMID: 25300275     DOI: 10.1159/000365040

Source DB:  PubMed          Journal:  Ann Nutr Metab        ISSN: 0250-6807            Impact factor:   3.374


  43 in total

1.  Influence of higher BMI for hepatitis B- and C-related hepatocellular carcinomas.

Authors:  Masakazu Hashimoto; Hirotaka Tashiro; Tsuyoshi Kobayashi; Shintaro Kuroda; Michinori Hamaoka; Hideki Ohdan
Journal:  Langenbecks Arch Surg       Date:  2017-05-22       Impact factor: 3.445

2.  Erythrocyte PUFAs, circulating acylcarnitines, and metabolic syndrome risk: a prospective study in Chinese.

Authors:  Yiwei Ma; Liang Sun; Jun Li; Yao Hu; Zhenji Gan; Geng Zong; He Zheng; Qianlu Jin; Huaixing Li; Frank B Hu; Rong Zeng; Qi Sun; Xu Lin
Journal:  J Lipid Res       Date:  2018-12-14       Impact factor: 5.922

3.  Animal and Plant Protein Sources and Cardiometabolic Health.

Authors:  François Mariotti
Journal:  Adv Nutr       Date:  2019-11-01       Impact factor: 8.701

4.  Maternal Obesity/Diabetes, Plasma Branched-Chain Amino Acids, and Autism Spectrum Disorder Risk in Urban Low-Income Children: Evidence of Sex Difference.

Authors:  Anita A Panjwani; Yuelong Ji; Jed W Fahey; Amanda Palmer; Guoying Wang; Xiumei Hong; Barry Zuckerman; Xiaobin Wang
Journal:  Autism Res       Date:  2019-08-09       Impact factor: 5.216

5.  A Metabolomics Analysis of Body Mass Index and Postmenopausal Breast Cancer Risk.

Authors:  Steven C Moore; Mary C Playdon; Joshua N Sampson; Robert N Hoover; Britton Trabert; Charles E Matthews; Regina G Ziegler
Journal:  J Natl Cancer Inst       Date:  2018-06-01       Impact factor: 13.506

6.  Metabolite profiling of obese individuals before and after a one year weight loss program.

Authors:  N Geidenstam; M Al-Majdoub; M Ekman; P Spégel; M Ridderstråle
Journal:  Int J Obes (Lond)       Date:  2017-05-22       Impact factor: 5.095

7.  Plasma High-Resolution Metabolomics Differentiates Adults with Normal Weight Obesity from Lean Individuals.

Authors:  Moriah P Bellissimo; Qingpo Cai; Thomas R Ziegler; Ken H Liu; Phong H Tran; Miriam B Vos; Greg S Martin; Dean P Jones; Tianwei Yu; Jessica A Alvarez
Journal:  Obesity (Silver Spring)       Date:  2019-11       Impact factor: 5.002

8.  Are Metabolic Signatures Mediating the Relationship between Lifestyle Factors and Hepatocellular Carcinoma Risk? Results from a Nested Case-Control Study in EPIC.

Authors:  Nada Assi; Duncan C Thomas; Michael Leitzmann; Magdalena Stepien; Véronique Chajès; Thierry Philip; Paolo Vineis; Christina Bamia; Marie-Christine Boutron-Ruault; Torkjel M Sandanger; Amaia Molinuevo; Hendriek C Boshuizen; Anneli Sundkvist; Tilman Kühn; Ruth C Travis; Kim Overvad; Elio Riboli; Marc J Gunter; Augustin Scalbert; Mazda Jenab; Pietro Ferrari; Vivian Viallon
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2018-03-21       Impact factor: 4.254

9.  Cord Blood Metabolome Is Highly Associated with Birth Weight, but Less Predictive for Later Weight Development.

Authors:  Christian Hellmuth; Olaf Uhl; Marie Standl; Hans Demmelmair; Joachim Heinrich; Berthold Koletzko; Elisabeth Thiering
Journal:  Obes Facts       Date:  2017-04-05       Impact factor: 3.942

10.  Association of maternal prepregnancy BMI with metabolomic profile across gestation.

Authors:  C Hellmuth; K L Lindsay; O Uhl; C Buss; P D Wadhwa; B Koletzko; S Entringer
Journal:  Int J Obes (Lond)       Date:  2016-08-29       Impact factor: 5.095

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