H-NMR metabolomics identifies three distinct metabolic profiles differentially associated with cardiometabolic risk in patients with obesity in the Di@bet.es cohort

Autor segons l'article: Ozcariz, Enrique; Guardiola, Montse; Amigo, Nuria; Valdes, Sergio; Oualla-Bachiri, Wasima; Rehues, Pere; Rojo-Martinez, Gemma; Ribalta, Josep

Departament: Medicina i Cirurgia

Autor/s de la URV: Guardiola Guionnet, Montserrat / Rehues Masip, Pere / Ribalta Vives, Josep

Paraules clau: Waist-hip ratio Type 2 diabetes mellitus Risk assessment Proton magnetic resonance spectroscopy Prognosis Predictive value of tests Obesity, metabolically benign Obesity Middle aged Metabolomics Metabolome Metabolically healthy obesity Metabolically healthy obesit Male Machine learning Hypercholesterolemia Humans Female Dyslipidemias Cardiovascular diseases Cardiovascular disease Cardiometabolic risk factors Body mass index Biomarkers Atherogenic dyslipidemia Aged Adult

Resum: BackgroundObesity is a complex, diverse and multifactorial disease that has become a major public health concern in the last decades. The current classification systems relies on anthropometric measurements, such as BMI, that are unable to capture the physiopathological diversity of this disease. The aim of this study was to redefine the classification of obesity based on the different H-NMR metabolomics profiles found in individuals with obesity to better assess the risk of future development of cardiometabolic disease.Materials and methodsSerum samples of a subset of the Di@bet.es cohort consisting of 1387 individuals with obesity were analyzed by H-NMR. A K-means algorithm was deployed to define different H-NMR metabolomics-based clusters. Then, the association of these clusters with future development of cardiometabolic disease was evaluated using different univariate and multivariate statistical approaches. Moreover, machine learning-based models were built to predict the development of future cardiometabolic disease using BMI and waist-to-hip circumference ratio measures in combination with H-NMR metabolomics.ResultsThree clusters with no differences in BMI nor in waist-to-hip circumference ratio but with very different metabolomics profiles were obtained. The first cluster showed a metabolically healthy profile, whereas atherogenic dyslipidemia and hypercholesterolemia were predominant in the second and third clusters, respectively. Individuals within the cluster of atherogenic dyslipidemia were found to be at a higher risk of developing type 2 DM in a 8 years follow-up. On the other hand, individuals within the cluster of hypercholesterolemia showed a higher risk of suffering a cardiovascular event in the follow-up. The individuals with a metabolically healthy profile displayed a lower association with future cardiometabolic disease, even though some association with future development of type 2 DM was still observed. In addition, H-NMR metabolomics improved the prediction of future cardiometabolic disease in comparison with models relying on just anthropometric measures.ConclusionsThis study demonstrated the benefits of using precision techniques like H-NMR to better assess the risk of obesity-derived cardiometabolic disease.

Àrees temàtiques: Saúde coletiva Medicina ii Medicina i Internal medicine Interdisciplinar Farmacia Endocrinology, diabetes and metabolism Endocrinology & metabolism Educação física Ciências biológicas ii Ciências biológicas i Cardiology and cardiovascular medicine Cardiac & cardiovascular systems Biotecnología

Accès a la llicència d'ús: https://creativecommons.org/licenses/by/3.0/es/

Adreça de correu electrònic de l'autor: pere.rehues@urv.cat pere.rehues@urv.cat montse.guardiola@urv.cat josep.ribalta@urv.cat

Identificador de l'autor: 0000-0002-9696-7384 0000-0002-8879-4719

Data d'alta del registre: 2024-11-23

Versió de l'article dipositat: info:eu-repo/semantics/publishedVersion

Referència a l'article segons font original: Cardiovascular Diabetology. 23 (1): 402-

Referència de l'ítem segons les normes APA: Ozcariz, Enrique; Guardiola, Montse; Amigo, Nuria; Valdes, Sergio; Oualla-Bachiri, Wasima; Rehues, Pere; Rojo-Martinez, Gemma; Ribalta, Josep (2024). H-NMR metabolomics identifies three distinct metabolic profiles differentially associated with cardiometabolic risk in patients with obesity in the Di@bet.es cohort. Cardiovascular Diabetology, 23(1), 402-. DOI: 10.1186/s12933-024-02488-5

URL Document de llicència: https://repositori.urv.cat/ca/proteccio-de-dades/

Entitat: Universitat Rovira i Virgili

Any de publicació de la revista: 2024

Tipus de publicació: Journal Publications