Publications by authors named "J M Malacara-Hernandez"

Hypertension is associated with insulin resistance (IR), metabolic syndrome (MS), and arterial stiffness. Non-insulin-based IR indexes were developed as tools for metabolic screening. Here, we aimed to evaluate the novel non-insulin-based Metabolic Score for IR (METS-IR) index for the prediction of incident hypertension and arterial stiffness evaluated using pulse wave velocity (PWV) analysis, compared with other non-insulin-based IR indexes.

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Protein-coding genetic variants that strongly affect disease risk can yield relevant clues to disease pathogenesis. Here we report exome-sequencing analyses of 20,791 individuals with type 2 diabetes (T2D) and 24,440 non-diabetic control participants from 5 ancestries. We identify gene-level associations of rare variants (with minor allele frequencies of less than 0.

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Background: Type 2 diabetes mellitus (T2D) is a leading cause of morbidity and mortality in Mexico. Here, we aimed to report incidence rates (IR) of type 2 diabetes in middle-aged apparently-healthy Mexican adults, identify risk factors associated to ID and develop a predictive model for ID in a high-risk population.

Methods: Prospective 3-year observational cohort, comprised of apparently-healthy adults from urban settings of central Mexico in whom demographic, anthropometric and biochemical data was collected.

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The prevalence of obesity in Mexico is the highest in the world, with almost 70% of adults being classified as overweight or obese. The increased prevalence of obesity in Mexico, and globally, may be related to the changing food environment, providing increased access to highly palatable, but obesogenic, food products. One potential mechanism for this association is changing food perceptions, an area poorly studied in transitional countries.

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Background: Increased telomere shortening has been demonstrated in several diseases including type 2 diabetes. However, it is not known whether telomere length changes during the course of type 2 diabetes.

Objective: To determine telomere length at different stages of type 2 diabetes, including early and late stages.

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