Bone proteins are associated with cardiovascular risk according to the SCORE2-Diabetes algorithm

Bibliographic Details
Title: Bone proteins are associated with cardiovascular risk according to the SCORE2-Diabetes algorithm
Authors: Sheila González-Salvatierra, Antonia García-Martín, Beatriz García-Fontana, Luis Martínez-Heredia, Cristina García-Fontana, Manuel Muñoz-Torres
Source: Cardiovascular Diabetology, Vol 23, Iss 1, Pp 1-11 (2024)
Publisher Information: BMC, 2024.
Publication Year: 2024
Collection: LCC:Diseases of the circulatory (Cardiovascular) system
Subject Terms: Biomarker, Bone proteins, Cardiovascular disease risk, Periostin, Sclerostin, SCORE2-Diabetes, Diseases of the circulatory (Cardiovascular) system, RC666-701
More Details: Abstract Background Typical bone proteins, such as sclerostin and periostin, have been associated with cardiovascular disease (CVD). Simultaneously, several risk scores have been developed to predict CVD in the general population. Therefore, we aimed to evaluate the association of these bone proteins related to CVD, with the main vascular risk scales: Framingham Risk Score (FRS), REGICOR and SCORE2-Diabetes, in patients with type 2 diabetes. We focus in particular on the SCORE2-Diabetes algorithm, which predicts 10-year CVD risk and is specific to the study population. Methods This was a cross-sectional study including 104 patients with type 2 diabetes (62 ± 6 years, 60% males). Clinical data, biochemical measurements, and serum bioactive sclerostin and periostin levels were collected, and different risk scales were calculated. The association between bioactive sclerostin or periostin with the risk scales was analyzed. Results A positive correlation was observed between circulating levels of bioactive sclerostin (p 131 pmol/L showed 51.6% sensitivity and 78.6% specificity. Similarly, serum periostin levels > 1144 pmol/L had 64.5% sensitivity and 76.2% specificity. Conclusions Sclerostin and periostin are associated with vascular risk in the SCORE2-Diabetes algorithm, opening a new line of investigation to identify novel biomarkers of cardiovascular risk in the type 2 diabetes population. Graphical Abstract
Document Type: article
File Description: electronic resource
Language: English
ISSN: 1475-2840
Relation: https://doaj.org/toc/1475-2840
DOI: 10.1186/s12933-024-02406-9
Access URL: https://doaj.org/article/16bf3ae5dfb04f35a129881d2a30e3bd
Accession Number: edsdoj.16bf3ae5dfb04f35a129881d2a30e3bd
Database: Directory of Open Access Journals
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More Details
ISSN:14752840
DOI:10.1186/s12933-024-02406-9
Published in:Cardiovascular Diabetology
Language:English