Metabolites, Free Full-Text
Por um escritor misterioso
Last updated 27 março 2025

This research focused on establishing a hierarchy concerning the influence of various biological markers and body composition parameters on preventing, diagnosing and managing Metabolic Syndrome (MetS). Our cross-sectional cohort study included 104 subjects without any atherosclerotic antecedent pathology, organized in two groups (with and without MetS). All participants underwent clinical and anthropometric measurements, DEXA investigation and blood tests for all MetS criteria, together with adiponectin, leptin, insulin, uric acid and CRP. Based on mathematical logic, we calculated a normalized sensitivity score to compare the predictive power of biomarkers and parameters associated with MetS, upon the prevalence of MetS. Patients with MetS report higher levels of uric acid (p = 0.02), CRP (p = 0.012) and lower levels of adiponectin (p = 0.025) than patients without MetS. The top three biological markers with the highest predictive power of the prevalence of the disease are HDL, insulin, and adiponectin:leptin ratio, and the top three body composition parameters are trunk fat-free percentage, waist-height ratio and trunk fat percentage. Their high sensitivity scores differentiate them from all the other markers analysed in the study. Our findings report relevant scores for estimating the importance of cardiometabolic risks in the prevalence of MetS. The high rank of protective markers, HDL and trunk fat-free percentage, suggest that positive effects have a stronger association with the prevalence of MetS, than negative ones do. Therefore, this risk stratification study provides important support for prevention and management programs regarding MetS.

Metabolites, Free Full-Text

Cell Host & Microbe on X: Gut #microbiota sphingolipids modulate hepatic metabolism. @henrychembio @MinTingLee1 @lizljohnson ID & trace unique gut bacterial sphingolipid to colon & liver. Bacterial sphingolipid synthesis reduces hepatic lipid

Metabolite concentrations, fluxes and free energies imply efficient enzyme usage

Diabetes and Metabolism Peer Reviewed Open Access Journals

Metabolite Concentration Changes in Humans After a Bout of Exercise: a Systematic Review of Exercise Metabolomics Studies, Sports Medicine - Open

Metabolite annotation from knowns to unknowns through knowledge-guided multi-layer metabolic networking

PDF) Absorption rates and free radical scavenging values of vitamin C-lipid metabolites in human lymphoblastic cells

Exercise training enhances muscle mitochondrial metabolism in diet-resistant obesity - eBioMedicine

Metabolites, Free Full-Text

Application of metabolomics to explore the automatic oxidation process of hazelnut oil - ScienceDirect

Metabolism - Wikipedia
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