Proteomics in Cardiovascular disease.

This study focuses on recent advances in proteomics and provides an up-to-date use of this technology in identifying cardiovascular disease (CVD) biomarkers. A total of eight electronic databases (PubMed, EMBASE, Web of Science, Cochrane Library, Wanfang, Vip, Sinomed, and CNKI) were searched and five were used for integrative analysis of sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic ratio (DOR) and 1 secondary indicator area under the curve (AUC). This systematic review and integrative analysis summarized potential biomarkers previously identified by proteomics. The integrative analysis suggested that proteomics technology had high clinical value in CVD diagnosis. The findings provided new possible directions for the prevention or diagnosis of CVD. Copyright © 2024 Elsevier B.V. All rights reserved.

Citation

Miao Gong, Yu Zhang, Ning Chen, Lin-Lin Ma, Xu-Man Feng, Yu-Xiang Yan. Proteomics in Cardiovascular disease. Clinica chimica acta; international journal of clinical chemistry. 2024 Apr 15;557:117877

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PMID: 38537675

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