Article ; Online: The role of serum asprosin levels in predicting the severity of coronary artery disease in patients with diabetes mellitus.
Irish journal of medical science
2024
Abstract: Background: Asprosin is an emerging biomarker that plays a role in metabolic diseases. This study investigates asprosin as a predictive marker for coronary artery disease (CAD) severity in diabetic patients.: Methods: Diabetic patients (n = 181) and ... ...
Abstract | Background: Asprosin is an emerging biomarker that plays a role in metabolic diseases. This study investigates asprosin as a predictive marker for coronary artery disease (CAD) severity in diabetic patients. Methods: Diabetic patients (n = 181) and healthy controls (n = 60) were analyzed. CAD severity was assessed using SYNTAX score. Diabetic patients were divided into 3 groups. Group 1 = patients without CAD, group 2 = patients with low SYNTAX score, and group 3 = patients with moderate-high SYNTAX score. Asprosin levels were measured for all participants using an enzyme-linked immunosorbent assay (ELISA). Results: Asprosin levels were significantly higher in patient group compared to control group (p < 0.001). Asprosin levels were significantly higher in group 3 compared to group 1 and group 2 (p = 0.002). In logistic regression analysis, asprosin levels independently predicted patients with moderate-high SYNTAX scores. According to this analysis, 1 ng/mL increase in asprosin level was found to increase the risk of having moderate-high SYNTAX score by 14.1%. When the threshold value of asprosin level was set as 22.17 ng/mL, it predicted patients with moderate-high SYNTAX score with 63.6% sensitivity and 62.6% specificity. In multivariate regression analysis, SYNTAX score independently correlated with asprosin level. Conclusion: This is the first study in the literature to demonstrate a positive correlation between asprosin levels and SYNTAX scores in diabetic patients with CAD. More comprehensive studies with larger groups are needed. |
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Language | English |
Publishing date | 2024-02-01 |
Publishing country | Ireland |
Document type | Journal Article |
ZDB-ID | 390895-1 |
ISSN | 1863-4362 ; 0021-1265 |
ISSN (online) | 1863-4362 |
ISSN | 0021-1265 |
DOI | 10.1007/s11845-024-03616-6 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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