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

Research output: Contribution to journalJournal articleResearchpeer-review

Standard

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 journalJournal articleResearchpeer-review

Harvard

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

APA

Stroeve, J. H. M., Saccenti, E., Bouwman, J., Dane, A., Strassburg, K., Vervoort, J., ... Saris, W. H. M. (2016). Weight loss predictability by plasma metabolic signatures in adults with obesity and morbid obesity of the DiOGenes study. Obesity, 24(2), 379-388. https://doi.org/10.1002/oby.21361

Vancouver

Stroeve JHM, Saccenti E, Bouwman J, Dane A, Strassburg K, Vervoort J et al. Weight loss predictability by plasma metabolic signatures in adults with obesity and morbid obesity of the DiOGenes study. Obesity. 2016;24(2):379-388. https://doi.org/10.1002/oby.21361

Author

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.

Bibtex

@article{2c0337a2bc654f73ad34f4c8580cbaf3,
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}",
note = "CURIS 2016 NEXS 066",
year = "2016",
doi = "10.1002/oby.21361",
language = "English",
volume = "24",
pages = "379--388",
journal = "Obesity",
issn = "1930-7381",
publisher = "Wiley-Blackwell",
number = "2",

}

RIS

TY - JOUR

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

N1 - CURIS 2016 NEXS 066

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.

U2 - 10.1002/oby.21361

DO - 10.1002/oby.21361

M3 - Journal article

C2 - 26813527

VL - 24

SP - 379

EP - 388

JO - Obesity

JF - Obesity

SN - 1930-7381

IS - 2

ER -

ID: 156373649