Weight loss predictability by plasma metabolic signatures in adults with obesity and morbid obesity of the DiOGenes study

Objective Aim is to predict successful weight loss by metabolic signatures at baseline and to identify which differences in metabolic status may underlie variations in weight loss success. Methods In DiOGenes, a randomized, controlled trial, weight loss was induced using a low‐calorie diet (800 kcal...

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Bibliographic Details
Published inObesity (Silver Spring, Md.) Vol. 24; no. 2; pp. 379 - 388
Main Authors Stroeve, Johanna H.M., Saccenti, Edoardo, Bouwman, Jildau, Dane, Adrie, Strassburg, Katrin, Vervoort, Jacques, Hankemeier, Thomas, Astrup, Arne, Smilde, Age K., van Ommen, Ben, Saris, Wim H.M.
Format Journal Article
LanguageEnglish
Published United States Blackwell Publishing Ltd 01.02.2016
Subjects
Adult
ATV Vlag
Biochemie
Biochemistry
Body Mass Index
Caloric Restriction
Cholesterol
Cholesterol - blood
Diet, Reducing
Discriminant analysis
Female
Humans
Lipids
Lipids - blood
Male
Metabolism
Metabolites
Metabolomics - methods
Nuclear Magnetic Resonance, Biomolecular - methods
Nutrition research
Obesity
Obesity, Morbid - drug therapy
Obesity, Morbid - metabolism
Plasma
Plasma - chemistry
Proteins
Regression Analysis
Rodents
Studies
Success
Systeem en Synthetische Biologie
Systems and Synthetic Biology
Triglycerides - blood
VLAG
Weight control
Weight Loss - physiology
Women
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Summary:Objective Aim is to predict successful weight loss by metabolic signatures at baseline and to identify which differences in metabolic status may underlie variations in weight loss success. Methods In DiOGenes, a randomized, controlled trial, weight loss was induced using a low‐calorie diet (800 kcal) for 8 weeks. Men (N = 236) and women (N = 431) as well as groups with overweight/obesity and morbid obesity were studied separately. The relation between the metabolic status before weight loss and weight loss was assessed by stepwise regression on multiple data sets, including anthropometric parameters, NMR‐based plasma metabolites, and LC‐MS‐based plasma lipid species. Results Maximally, 57% of the variation in weight loss success can be predicted by baseline parameters. The most powerful predictive models were obtained in subjects with morbid obesity. In these models, the metabolites most predictive for weight loss were acetoacetate, triacylglycerols, phosphatidylcholines, specific amino acids, and creatine and creatinine. This metabolic profile suggests that high energy metabolism activity results in higher amounts of weight loss. Conclusions Possible predictive (pre‐diet) markers were found for amount of weight loss for specific subgroups.
Bibliography:The DiOGenes project is funded by a grant from the EU Food Quality and Safety Priority of the Sixth Framework Programme, contract no. FP6‐2005‐513946, and cofinanced by the Netherlands Metabolomics Centre (NMC) which is part of the Netherlands Genomics Initiative/Netherlands Organisation for Scientific Research.
Clinical trial registration
ClinicalTrials.gov identifier NCT00390637.
Johanna H. M. Stroeve, Edoardo Saccenti, and Jildau Bouwman contributed equally to the study.
The authors declared no conflict of interest.
Disclosure
Funding agencies
WHMS and AA designed study protocol; AD, KS, JV, and TH conducted research; ES and AKS analyzed data and performed statistical analysis; JHMS, JB, WHMS, and BvO performed biological interpretation; JHMS, ES, and JB wrote the paper. All authors contributed to the draft paper. WHMS had primary responsibility for final content. All authors read and approved the final manuscript.
Author contributions
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ISSN:1930-7381
1930-739X
DOI:10.1002/oby.21361