ArticleCardiovascular diabetology2021
A molecular signature for the metabolic syndrome by urine metabolomics.
Article in Cardiovascular diabetology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.
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Who cites it
27 citing papers in PubMed, 1 synthesis or guideline pooled it, 39 citations in OpenAlex.
- Association between metabolic syndrome and uric acid: a systematic review and meta-analysis.Scientific reports · 2022Pooled it
- Metabolomic and lifestyle profiles refine BMI-metabolic phenotypes in older adults.Cell reports. Medicine · 2026Observational
- A Lipid- and Inflammation-Related Metabolite Risk Score Predicts Incident Gout Among Individuals With Hyperuricemia: A Prospective Cohort Study.Clinical rheumatology · 2026Article
- Integrating dietary patterns and metabolomics with machine learning for metabolic syndrome risk assessment in a rural population.NPJ science of food · 2026Article
- Serum and Urinary Metabolomics Reflect the Early Stages of De Novo Metabolic Syndrome After Liver Transplant: A 2-Center Longitudinal Study.Clinical and translational gastroenterology · 2026Article
- Assessing individual genetic susceptibility to metabolic syndrome: interpretable machine learning method.Annals of medicine · 2025Article
- Multiscale Imaging of Human Adipose Tissue: A Neglected Partner in Proteinuria Linked to Obesity.Biomedicines · 2025Review
- A GC-MS-Based Urinary Metabolomic Profiling to Identify Potential Biomarkers of Metabolic Syndrome.ACS omega · 2025Article
- Urine metabolomic analyses reveal metabolite disruptions in steroid hormone biosynthesis in monkeypox.iScience · 2025Article
- Noninvasive Urinary Biomarkers for Obesity-Related Metabolic Diseases: Diagnostic Applications and Future Directions.Biomolecules · 2025Review
- The Association Between Periodontitis and the Prevalence and Prognosis of Metabolic Syndrome.Journal of multidisciplinary healthcare · 2025Article
- Review
- Serum Metabolomics and NF-κB Pathway Analysis Revealed the Antipyretic Mechanism of Ellagic Acid on LPS-Induced Fever in Rabbits.Metabolites · 2024Article
- MetSCORE: a molecular metric to evaluate the risk of metabolic syndrome based on serum NMR metabolomics.Cardiovascular diabetology · 2024Article
- Valproate-Induced Metabolic Syndrome.Biomedicines · 2023Review
- New Advances in Metabolic Syndrome, from Prevention to Treatment: The Role of Diet and Food.Nutrients · 2023Review
- A metabolic readout of the urine metabolome of COVID-19 patients.Metabolomics : Official journal of the Metabolomic Society · 2023Article
- Prospective Metabolomic Studies in Precision Medicine: The AKRIBEA Project.Handbook of experimental pharmacology · 2023Article
- Metabolomics as a powerful tool for diagnostic, pronostic and drug intervention analysis in COVID-19.Frontiers in molecular biosciences · 2023Review
- An NMR-Based Model to Investigate the Metabolic Phenoreversion of COVID-19 Patients throughout a Longitudinal Study.Metabolites · 2022Article
Corrections and comments
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Authors and funding
23 authors at 7 institutions in 5 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMetabolic syndrome (MetS) is a multimorbid long-term condition without consensual medical definition and a diagnostic based on compatible symptomatology. Here we have investigated the molecular signature of MetS in urine.
methodsWe used NMR-based metabolomics to investigate a European cohort including urine samples from 11,754 individuals (18-75 years old, 41% females), designed to populate all the intermediate conditions in MetS, from subjects without any risk factor up to individuals with developed MetS (4-5%, depending on the definition). A set of quantified metabolites were integrated from the urine spectra to obtain metabolic models (one for each definition), to discriminate between individuals with MetS.
resultsMetS progression produces a continuous and monotonic variation of the urine metabolome, characterized by up- or down-regulation of the pertinent metabolites (17 in total, including glucose, lipids, aromatic amino acids, salicyluric acid, maltitol, trimethylamine N-oxide, and p-cresol sulfate) with some of the metabolites associated to MetS for the first time. This metabolic signature, based solely on information extracted from the urine spectrum, adds a molecular dimension to MetS definition and it was used to generate models that can identify subjects with MetS (AUROC values between 0.83 and 0.87). This signature is particularly suitable to add meaning to the conditions that are in the interface between healthy subjects and MetS patients. Aging and non-alcoholic fatty liver disease are also risk factors that may enhance MetS probability, but they do not directly interfere with the metabolic discrimination of the syndrome.
conclusionsUrine metabolomics, studied by NMR spectroscopy, unravelled a set of metabolites that concomitantly evolve with MetS progression, that were used to derive and validate a molecular definition of MetS and to discriminate the conditions that are in the interface between healthy individuals and the metabolic syndrome.
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