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1.
Biology (Basel) ; 10(12)2021 Dec 16.
Artigo em Inglês | MEDLINE | ID: mdl-34943258

RESUMO

We previously reported preliminary characterization of adipose tissue (AT) dysfunction through the adiponectin/leptin ratio (ALR) and fasting/postprandial (F/P) gene expression in subcutaneous (SQ) adipose tissue (AT) biopsies obtained from participants in the GEMM study, a precision medicine research project. Here we present integrative data replication of previous findings from an increased number of GEMM symptom-free (SF) adults (N = 124) to improve characterization of early biomarkers for cardiovascular (CV)/immunometabolic risk in SF adults with AT dysfunction. We achieved this goal by taking advantage of the rich set of GEMM F/P 5 h time course data and three tissue samples collected at the same time and frequency on each adult participant (F/P blood, biopsies of SQAT and skeletal muscle (SKM)). We classified them with the presence/absence of AT dysfunction: low (<1) or high (>1) ALR. We also examined the presence of metabolically healthy (MH)/unhealthy (MUH) individuals through low-grade chronic subclinical inflammation (high sensitivity C-reactive protein (hsCRP)), whole body insulin sensitivity (Matsuda Index) and Metabolic Syndrome criteria in people with/without AT dysfunction. Molecular data directly measured from three tissues in a subset of participants allowed fine-scale multi-OMIC profiling of individual postprandial responses (RNA-seq in SKM and SQAT, miRNA from plasma exosomes and shotgun lipidomics in blood). Dynamic postprandial immunometabolic molecular endophenotypes were obtained to move towards a personalized, patient-defined medicine. This study offers an example of integrative translational research, which applies bench-to-bedside research to clinical medicine. Our F/P study design has the potential to characterize CV/immunometabolic early risk detection in support of precision medicine and discovery in SF individuals.

2.
Nutrients ; 11(6)2019 May 28.
Artigo em Inglês | MEDLINE | ID: mdl-31141963

RESUMO

In Mexico, 3 of 10 children are overweight. Fructose intake and relative abundance (RA) of Lactobacillus reuteri (L. reuteri) in the intestinal microbiota are associated with obesity and diabetes in adults, but studies in children are limited. This study evaluates the association between fructose intake and L. reuteri RA with adiposity and cardiometabolic risk markers in Mexican children dietary information, microbiota profiles, adiposity indicators (Body Mass Index, BMI and Waste Circumference, WC), and cardiometabolic markers were analyzed in 1087 children aged 6-12 years. Linear regression and path analysis models were used. High-tertile fructose intake and L. reuteri RA were positively associated with BMI (ßTertil 3 vs. Tertil 1 = 0.24 (95% CI, 0.04; 0.44) and ßT3 vs. T1 = 0.52 (95% CI, 0.32; 0.72)) and WC (ßT3 vs. T1 = 2.40 (95% CI, 0.93; 3.83) and ßT3 vs. T1 = 3.40 (95% CI, 1.95; 4.90)), respectively. Also, these factors mediated by adiposity were positively correlated with high triglycerides and insulin concentrations and HOMA-IR (p ≤ 0.03) and negatively associated with HDL-C concentration (p < 0.01). High-tertile fructose intake and L. reuteri RA were directly associated with adiposity and indirectly associated though adiposity with metabolic disorders in children. In conclusion, fructose intake and L. reuteri RA were directly associated with adiposity and indirectly associated with metabolic disorders in children, mediated by adiposity.


Assuntos
Adiposidade , Açúcares da Dieta/efeitos adversos , Frutose/efeitos adversos , Microbioma Gastrointestinal , Limosilactobacillus reuteri/isolamento & purificação , Doenças Metabólicas/epidemiologia , Obesidade Infantil/epidemiologia , Fatores Etários , Índice de Massa Corporal , Criança , Estudos Transversais , Feminino , Humanos , Masculino , Doenças Metabólicas/microbiologia , Doenças Metabólicas/fisiopatologia , México/epidemiologia , Obesidade Infantil/microbiologia , Obesidade Infantil/fisiopatologia , Prevalência , Medição de Risco , Fatores de Risco , Circunferência da Cintura
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