Cyclophilin C as a Novel Diagnostic and Prognostic Biomarker of Coronary Artery Diseases. A Systematic Review and Meta-Analysis.

We aimed to perform a meta-analysis to investigate the value of Cyclophilin C as a diagnostic and prognostic biomarker in Coronary Artery Disease. PubMed, Web of Science, Scopus and Cochrane library databases were searched. The inclusion criteria were any randomized control trials or controlled observational studies that measured the levels of Cyclophilin C in Coronary Artery disease patients and healthy controls. We excluded case reports, case series, reviews, editorials and animal studies. After search of the literature, 4 studies were included in the meta-analysis with a total number of 454 individuals included in the study. The pooled analysis showed a significant association between CAD group and increased levels of Cyclophilin C (MD = 28.94, 95% confidence interval (CI) = 19.28-38.60, P-value < 0.00001). Subgroup analysis showed a significant association between acute and chronic CAD group with increased levels of cyclophilin c compared with the control group (MD = 35.98, 95% CI = 19.84-52.11, P-value < 0.0001) and (MD = 26.36, 95% CI = 21.87 to 30.85, P-value < 0.00001), respectively. The pooled effect estimate showed that the ROC area for the cyclophillin c as a diagnostic biomarker of CAD was (ROC= 0.880, 95% CI =0.844-0.917, P-value < 0.001). Our study revealed a significant association between acute and chronic coronary artery disease with increased levels of Cyclophilin C. Cyclophilin C could be used as a novel diagnostic and prognostic biomarker in acute and chronic CAD. More research is warranted to support our results. Copyright © 2023 Elsevier Inc. All rights reserved.

Citation

Karam R Motawea, Rowan H Elhalag, Samah S Rouzan, Nesreen Elsayed Talat, Sarraa M Reyad, Pensée Chébl, Mai Saad Mohamed, Jaffer Shah. Cyclophilin C as a Novel Diagnostic and Prognostic Biomarker of Coronary Artery Diseases. A Systematic Review and Meta-Analysis. Current problems in cardiology. 2023 May 19;48(10):101812

PMID: 37209796

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