Serum Endocan Levels Correlate with Metabolic Syndrome Severity and Endothelial Dysfunction: A Cross-Sectional Study Using the MetS-Z Score
<b>Background:</b> Metabolic syndrome (MetS) is a complex clinical condition characterized by the coexistence of interrelated metabolic abnormalities that significantly increase the risk of cardiovascular diseases and type 2 diabetes mellitus. Endocan-an endothelial cell-specific molecule-is considered a biomarker of endothelial dysfunction and inflammation. This study aimed to evaluate the relationship between serum endocan levels and the severity of MetS, assessed using the MetS-Z score. <b>Methods:</b> This study included 120 patients with MetS and 50 healthy controls. MetS was diagnosed according to the NCEP-ATP III criteria. MetS-Z scores were calculated using the MetS Severity Calculator. Serum levels of endocan, sICAM-1, and sVCAM-1 were measured using the ELISA method. <b>Results:</b> Serum levels of endocan, sICAM-1, and sVCAM-1 were significantly higher in the MetS group compared to the control group (all <i>p</i> < 0.001). When the MetS group was divided into tertiles based on MetS-Z scores, stepwise and statistically significant increases were observed in the levels of endocan and other endothelial markers from the lowest to highest tertile (<i>p</i> < 0.0001). Correlation analysis revealed a strong positive association between the MetS-Z score and serum endocan levels (r = 0.584, <i>p</i> < 0.0001). ROC curve analysis showed that endocan has high diagnostic accuracy for identifying MetS (AUC = 0.967, <i>p</i> = 0.0001), with a cutoff value of >88.0 ng/L. <b>Conclusions:</b> Circulating levels of endocan were significantly increased in MetS and were associated with the severity of MetS, suggesting that endocan may play a role in the cellular response to endothelial dysfunction-related injury in patients with MetS.
Authors
- Ahmet Cimbek
- Serap Özer Yaman (ORCID: https://orcid.org/0000-0002-5089-0836)
- Mehmet Vatansever (ORCID: https://orcid.org/0009-0002-2019-1214)
- Yılmaz Sezgin (ORCID: https://orcid.org/0000-0002-3626-0264)
- Selçuk Yaman
Institutions
- University of Health Science (KH)
- Uni Research (Norway) (NO)
- Sağlık Bilimleri Üniversitesi (TR)
Publication Details
- Journal
- Metabolites
- Published
- 2025-08-01
- DOI
- https://doi.org/10.3390/metabo15080521
- Citations
- 1
- Primary Topic
- Inflammation biomarkers and pathways
- Type
- article
- Field-Weighted Citation Impact
- 0.80