NDLI: MetSCORE: a molecular metric to evaluate the risk of metabolic syndrome based on serum NMR metabolomics

Content Provider	Springer Nature : BioMed Central
Author	Gil-Redondo, Rubén Conde, Ricardo Bruzzone, Chiara Seco, Maria Luisa Bizkarguenaga, Maider González-Valle, Beatriz de Diego, Angela Laín, Ana Habisch, Hansjörg Haudum, Christoph Verheyen, Nicolas Obermayer-Pietsch, Barbara Margarita, Sara Pelusi, Serena Verde, Ignacio Oliveira, Nádia Sousa, Adriana Zabala-Letona, Amaia Santos-Martin, Aida Loizaga-Iriarte, Ana Unda-Urzaiz, Miguel Kazenwadel, Jasmin Berezhnoy, Georgy Geisler, Tobias Gawaz, Meinrad Cannet, Claire Schäfer, Hartmut Diercks, Tammo Trautwein, Christoph Carracedo, Arkaitz Madl, Tobias Valenti, Luca Spraul, Manfred Lu, Shelly C. Embade, Nieves Mato, José M. Millet, Oscar
Abstract	Background Metabolic syndrome (MetS) is a cluster of medical conditions and risk factors correlating with insulin resistance that increase the risk of developing cardiometabolic health problems. The specific criteria for diagnosing MetS vary among different medical organizations but are typically based on the evaluation of abdominal obesity, high blood pressure, hyperglycemia, and dyslipidemia. A unique, quantitative and independent estimation of the risk of MetS based only on quantitative biomarkers is highly desirable for the comparison between patients and to study the individual progression of the disease in a quantitative manner. Methods We used NMR-based metabolomics on a large cohort of donors (n = 21,323; 37.5% female) to investigate the diagnostic value of serum or serum combined with urine to estimate the MetS risk. Specifically, we have determined 41 circulating metabolites and 112 lipoprotein classes and subclasses in serum samples and this information has been integrated with metabolic profiles extracted from urine samples. Results We have developed MetSCORE, a metabolic model of MetS that combines serum lipoprotein and metabolite information. MetSCORE discriminate patients with MetS (independently identified using the WHO criterium) from general population, with an AUROC of 0.94 (95% CI 0.920–0.952, p < 0.001). MetSCORE is also able to discriminate the intermediate phenotypes, identifying the early risk of MetS in a quantitative way and ranking individuals according to their risk of undergoing MetS (for general population) or according to the severity of the syndrome (for MetS patients). Conclusions We believe that MetSCORE may be an insightful tool for early intervention and lifestyle modifications, potentially preventing the aggravation of metabolic syndrome.
Related Links	https://cardiab.biomedcentral.com/counter/pdf/10.1186/s12933-024-02363-3.pdf
Ending Page	13
Page Count	13
Starting Page	1
File Format	HTM / HTML
ISSN	14752840
DOI	10.1186/s12933-024-02363-3
Journal	Cardiovascular Diabetology
Issue Number	1
Volume Number	23
Language	English
Publisher	BioMed Central
Publisher Date	2024-07-24
Access Restriction	Open
Subject Keyword	Diabetes Angiology Cardiology Metabolic syndrome Lipoproteins Obesity Dyslipidemia Hypertension NMR spectroscopy Precision medicine
Content Type	Text
Resource Type	Article
Subject	Cardiology and Cardiovascular Medicine Internal Medicine Endocrinology, Diabetes and Metabolism
Journal Impact Factor	8.5/2023
5-Year Journal Impact Factor	8.9/2023

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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