A Clinical-Genetic Score for Predicting Weight Loss after Bariatric Surgery : The OBEGEN Study
Ciudin, Andreea (Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas. Instituto de Salud Carlos III)
Fidilio, Enzamaría (Hospital Universitari Vall d'Hebron. Institut de Recerca)
Gutiérrez-Carrasquilla, Liliana (Universitat de Lleida)
Caixàs i Pedragós, Assumpta (Parc Taulí Hospital Universitari. Institut d'Investigació i Innovació Parc Taulí (I3PT))
Vilarrasa, Núria (Institut d'Investigació Biomèdica de Bellvitge)
Pellitero, Silvia (Institut Germans Trias i Pujol. Hospital Universitari Germans Trias i Pujol)
Simó-Servat, Andreu (Institut d'Investigació Biomèdica de Bellvitge)
Vilallonga, Ramon (Hospital Universitari Vall d'Hebron. Institut de Recerca)
García Ruiz de Gordejuela, Amador (Hospital Universitari Vall d'Hebron. Institut de Recerca)
de la Fuente, Maricruz (Institut de Recerca Biomèdica de Lleida)
Luna, Alexis (Parc Taulí Hospital Universitari. Institut d'Investigació i Innovació Parc Taulí (I3PT))
Sánchez, Enric (Universitat de Lleida)
Rigla Cros, Mercedes (Instituto de Salud Carlos III)
Hernández, Cristina (Instituto de Salud Carlos III)
Salas, Eduardo (Gendiag)
Simó Canonge, Rafael (Instituto de Salud Carlos III)
Lecube, Albert (Universitat de Lleida)
Universitat Autònoma de Barcelona

Date:	2021
Abstract:	Around 30% of the patients that undergo bariatric surgery (BS) do not reach an appropriate weight loss. The OBEGEN study aimed to assess the added value of genetic testing to clinical variables in predicting weight loss after BS. A multicenter, retrospective, longitudinal, and observational study including 416 patients who underwent BS was conducted (Clinical. Trials. gov- NCT02405949). 50 single nucleotide polymorphisms (SNPs) from 39 genes were examined. Receiver Operating Characteristic (ROC) curve analysis were used to calculate sensitivity and specificity. Satisfactory response to BS was defined as at nadir excess weight loss >50%. A good predictive model of response [area under ROC of 0. 845 (95% CI 0. 805-0. 880), p < 0. 001; sensitivity 90. 1%, specificity 65. 5%] was obtained by combining three clinical variables (age, type of surgery, presence diabetes) and nine SNPs located in ADIPOQ, MC4R, IL6, PPARG, INSIG2, CNR1, ELOVL6, PLIN1 and BDNF genes. This predictive model showed a significant higher area under ROC than the clinical score (p = 0. 0186). The OBEGEN study shows the key role of combining clinical variables with genetic testing to increase the predictability of the weight loss response after BS. This finding will permit us to implement a personalized medicine which will be associated with a more cost-effective clinical practice.
Grants:	Instituto de Salud Carlos III PI18/00964
Rights:	Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original.
Language:	Anglès
Document:	Article ; recerca ; Versió publicada
Subject:	Bariatric surgery ; Genetics ; Obesity ; Polygenic risk ; Weight loss
Published in:	Journal of personalized medicine, Vol. 11 (october 2021) , ISSN 2075-4426

DOI: 10.3390/jpm11101040
PMID: 34683180

11 p, 704.9 KB

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Research literature > UAB research groups literature > Research Centres and Groups (research output) > Health sciences and biosciences > Parc Taulí Research and Innovation Institute (I3PT
Articles > Research articles
Articles > Published articles