Mario Delgado-Velandia, Vannina Gonzalez-Marrachelli, Arce Domingo-Relloso, Marta Galvez-Fernandez, Maria Grau-Perez, Pablo Olmedo, Iñaki Galan, Fernando Rodriguez-Artalejo, Nuria Amigo, Laisa Briongos-Figuero, Josep Redon, Juan Carlos Martin-Escudero, Daniel Monleon-Salvado, Maria Tellez-Plaza, Mercedes Sotos-Prieto
{"title":"Healthy lifestyle, metabolomics and incident type 2 diabetes in a population-based cohort from Spain.","authors":"Mario Delgado-Velandia, Vannina Gonzalez-Marrachelli, Arce Domingo-Relloso, Marta Galvez-Fernandez, Maria Grau-Perez, Pablo Olmedo, Iñaki Galan, Fernando Rodriguez-Artalejo, Nuria Amigo, Laisa Briongos-Figuero, Josep Redon, Juan Carlos Martin-Escudero, Daniel Monleon-Salvado, Maria Tellez-Plaza, Mercedes Sotos-Prieto","doi":"10.1186/s12966-021-01219-3","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>The contribution of metabolomic factors to the association of healthy lifestyle with type 2 diabetes risk is unknown. We assessed the association of a composite measure of lifestyle with plasma metabolite profiles and incident type 2 diabetes, and whether relevant metabolites can explain the prospective association between healthy lifestyle and incident type 2 diabetes.</p><p><strong>Methods: </strong>A Healthy Lifestyle Score (HLS) (5-point scale including diet, physical activity, smoking status, alcohol consumption and BMI) was estimated in 1016 Hortega Study participants, who had targeted plasma metabolomic determinations at baseline examination in 2001-2003, and were followed-up to 2015 to ascertain incident type 2 diabetes.</p><p><strong>Results: </strong>The HLS was cross-sectionally associated with 32 (out of 49) plasma metabolites (2.5% false discovery rate). In the subset of 830 participants without prevalent type 2 diabetes, the rate ratio (RR) and rate difference (RD) of incident type 2 diabetes (n cases = 51) per one-point increase in HLS was, respectively, 0.69 (95% CI, 0.51, 0.93), and - 8.23 (95% CI, - 16.34, - 0.13)/10,000 person-years. In single-metabolite models, most of the HLS-related metabolites were prospectively associated with incident type 2 diabetes. In probit Bayesian Kernel Machine Regression, these prospective associations were mostly driven by medium HDL particle concentration and phenylpropionate, followed by small LDL particle concentration, which jointly accounted for ~ 50% of the HLS-related decrease in incident type 2 diabetes.</p><p><strong>Conclusions: </strong>The HLS showed a strong inverse association with incident type 2 diabetes, which was largely explained by plasma metabolites measured years before the clinical diagnosis.</p>","PeriodicalId":520799,"journal":{"name":"The international journal of behavioral nutrition and physical activity","volume":" ","pages":"8"},"PeriodicalIF":5.5000,"publicationDate":"2022-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8793258/pdf/","citationCount":"16","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"The international journal of behavioral nutrition and physical activity","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1186/s12966-021-01219-3","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 16
Abstract
Background: The contribution of metabolomic factors to the association of healthy lifestyle with type 2 diabetes risk is unknown. We assessed the association of a composite measure of lifestyle with plasma metabolite profiles and incident type 2 diabetes, and whether relevant metabolites can explain the prospective association between healthy lifestyle and incident type 2 diabetes.
Methods: A Healthy Lifestyle Score (HLS) (5-point scale including diet, physical activity, smoking status, alcohol consumption and BMI) was estimated in 1016 Hortega Study participants, who had targeted plasma metabolomic determinations at baseline examination in 2001-2003, and were followed-up to 2015 to ascertain incident type 2 diabetes.
Results: The HLS was cross-sectionally associated with 32 (out of 49) plasma metabolites (2.5% false discovery rate). In the subset of 830 participants without prevalent type 2 diabetes, the rate ratio (RR) and rate difference (RD) of incident type 2 diabetes (n cases = 51) per one-point increase in HLS was, respectively, 0.69 (95% CI, 0.51, 0.93), and - 8.23 (95% CI, - 16.34, - 0.13)/10,000 person-years. In single-metabolite models, most of the HLS-related metabolites were prospectively associated with incident type 2 diabetes. In probit Bayesian Kernel Machine Regression, these prospective associations were mostly driven by medium HDL particle concentration and phenylpropionate, followed by small LDL particle concentration, which jointly accounted for ~ 50% of the HLS-related decrease in incident type 2 diabetes.
Conclusions: The HLS showed a strong inverse association with incident type 2 diabetes, which was largely explained by plasma metabolites measured years before the clinical diagnosis.