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Review
. 2017 Dec 15:249:426-430.
doi: 10.1016/j.ijcard.2017.05.040. Epub 2017 Sep 18.

Could circulating fetuin A be a biomarker of aortic valve stenosis?

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Review

Could circulating fetuin A be a biomarker of aortic valve stenosis?

Alessandro Di Minno et al. Int J Cardiol. .

Abstract

Background: Aortic valve stenosis (AVS) is a multifactorial-progressive pathological process. In the past decades, many studies have focus their attention on circulating biomarkers able to identify AVS and/or to predict its progression. One of the many biomarkers studied is the fetuin A. The aim of the present meta-analysis was to evaluate the correlation between fetuin A levels and end-stage AVS.

Methods and results: A systematic search was performed in three electronic databases (PubMed, Web of Science and Scopus), looking for studies that compared control subjects with AVS patients and that have measured fetuin A circulating levels in both groups. The main outcome was to evaluate the difference in circulating fetuin A concentration in the two groups. Seven studies, enrolling 2283 AVS patients and 1549 controls, were included. Differences between control subjects and AVS patients were expressed as standardized mean difference (SMD) with pertinent 95% confidence intervals (95%CI) and standard deviation (SD), analysing the data using a random effect model. We found significantly lower circulating levels of fetuin A in AVS patients compared to healthy subjects (SMD: -0.96μg/mL, 95% CI: -1.62, -0.30; p=0.004). In addition, meta-regression analyses showed that several cardiovascular risk factors were significantly associated with circulating levels of fetuin A between patients affected by AVS and healthy controls.

Conclusion: In conclusion, our meta-analysis shows that AVS patients have significant lower circulating levels of fetuin A compared to control subjects. However, dedicated studies with large and matched cohorts are needed to validate these findings, evaluating if there is a real link or just a mere association.

Keywords: Biomarkers; Calcific aortic valve disease; Meta-analysis.

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