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

Johanna H.M. Stroeve, Edoardo Saccenti, Jildau Bouwman, Adrie Dane, Katrin Strassburg, Jacques Vervoort, Thomas Hankemeier, Arne Astrup, Age K. Smilde, Ben Van Ommen, Wim H.M. Saris

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Abstract

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.

Original languageEnglish
Pages (from-to)379-388
JournalObesity
Volume24
Issue number2
DOIs
Publication statusPublished - 2016

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Morbid Obesity
Weight Loss
Obesity
Caloric Restriction
Metabolome
Creatine
Phosphatidylcholines
Energy Metabolism
Creatinine
Triglycerides
Randomized Controlled Trials
Diet
Lipids
Amino Acids

Cite this

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. / Weight loss predictability by plasma metabolic signatures in adults with obesity and morbid obesity of the DiOGenes study. In: Obesity. 2016 ; Vol. 24, No. 2. pp. 379-388.
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title = "Weight loss predictability by plasma metabolic signatures in adults with obesity and morbid obesity of the DiOGenes study",
abstract = "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.",
author = "Stroeve, {Johanna H.M.} and Edoardo Saccenti and Jildau Bouwman and Adrie Dane and Katrin Strassburg and Jacques Vervoort and Thomas Hankemeier and Arne Astrup and Smilde, {Age K.} and {Van Ommen}, Ben and Saris, {Wim H.M.}",
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Stroeve, JHM, Saccenti, E, Bouwman, J, Dane, A, Strassburg, K, Vervoort, J, Hankemeier, T, Astrup, A, Smilde, AK, Van Ommen, B & Saris, WHM 2016, 'Weight loss predictability by plasma metabolic signatures in adults with obesity and morbid obesity of the DiOGenes study' Obesity, vol. 24, no. 2, pp. 379-388. https://doi.org/10.1002/oby.21361

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

In: Obesity, Vol. 24, No. 2, 2016, p. 379-388.

Research output: Contribution to journalArticleAcademicpeer-review

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T1 - Weight loss predictability by plasma metabolic signatures in adults with obesity and morbid obesity of the DiOGenes study

AU - Stroeve, Johanna H.M.

AU - Saccenti, Edoardo

AU - Bouwman, Jildau

AU - Dane, Adrie

AU - Strassburg, Katrin

AU - Vervoort, Jacques

AU - Hankemeier, Thomas

AU - Astrup, Arne

AU - Smilde, Age K.

AU - Van Ommen, Ben

AU - Saris, Wim H.M.

PY - 2016

Y1 - 2016

N2 - 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.

AB - 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.

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JO - Obesity

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SN - 1930-7381

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