Weight loss predictability by plasma metabolic signatures in adults with obesity and morbid obesity of the DiOGenes study
| Autor: | Ben van Ommen, Adrie Dane, Johanna H. M. Stroeve, Edoardo Saccenti, Jildau Bouwman, Thomas Hankemeier, Katrin Strassburg, Jacques Vervoort, Arne Astrup, Age K. Smilde, Wim H.M. Saris |
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| Rok vydání: | 2016 |
| Předmět: |
0301 basic medicine
Creatinine medicine.medical_specialty Nutrition and Dietetics business.industry Endocrinology Diabetes and Metabolism Medicine (miscellaneous) Blood lipids Overweight Stepwise regression medicine.disease Obesity 03 medical and health sciences chemistry.chemical_compound 030104 developmental biology Endocrinology chemistry Blood chemistry Weight loss Internal medicine medicine medicine.symptom business Body mass index |
| Zdroj: | OBESITY |
| ISSN: | 1930-7381 |
| Popis: | 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 (N5236) and women (N5431) 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 datasets, 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. |
| Databáze: | OpenAIRE |
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