The role of serum asprosin levels in predicting the severity of coronary artery disease in patients with diabetes mellitus.

Asprosin Coronary artery disease Diabetes mellitus SYNTAX score

Journal

Irish journal of medical science
ISSN: 1863-4362
Titre abrégé: Ir J Med Sci
Pays: Ireland
ID NLM: 7806864

Informations de publication

Date de publication:
01 Feb 2024
Historique:
received: 08 10 2023
accepted: 22 01 2024
medline: 1 2 2024
pubmed: 1 2 2024
entrez: 1 2 2024
Statut: aheadofprint

Résumé

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. 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). 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. 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.

Sections du résumé

BACKGROUND 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 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 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 CONCLUSIONS
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.

Identifiants

pubmed: 38300461
doi: 10.1007/s11845-024-03616-6
pii: 10.1007/s11845-024-03616-6
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© 2024. The Author(s), under exclusive licence to Royal Academy of Medicine in Ireland.

Références

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Auteurs

Ismail Yigitdol (I)

Department of Internal Medicine, University of Health Sciences-Adana City Training and Research Hospital, Adana, Turkey. ismail.yigitdol@gmail.com.

Erdinc Gulumsek (E)

Department of Internal Medicine, University of Health Sciences-Adana City Training and Research Hospital, Adana, Turkey.

Derya Demirtas (D)

Department of Hematology, Marmara University Pendik Training and Research Hospital, Istanbul, Turkey.

Mustafa Lutfullah Ardic (ML)

Department of Cardiology, University of Health Sciences-Adana City Training and Research Hospital, Adana, Turkey.

Filiz Alkan Baylan (FA)

Department of Biochemistry, University of Sutcu Imam, Kahramanmaras, Turkey.

Huseyin Ali Ozturk (HA)

Department of Internal Medicine, University of Health Sciences-Adana City Training and Research Hospital, Adana, Turkey.

Fatih Necip Arici (FN)

Department of Internal Medicine, University of Health Sciences-Adana City Training and Research Hospital, Adana, Turkey.

Taner Seker (T)

Department of Cardiology, Medical Park Hospital, Adana, Turkey.

Hilmi Erdem Sumbul (HE)

Department of Internal Medicine, University of Health Sciences-Adana City Training and Research Hospital, Adana, Turkey.

Classifications MeSH