Department of Epidemiology and Biostatistics, School of Public Health, Capital Medical University, Beijing, China; Municipal Key Laboratory of Clinical Epidemiology, Beijing, China.
Department of Epidemiology and Biostatistics, School of Public Health, Capital Medical University, Beijing, China; Municipal Key Laboratory of Clinical Epidemiology, Beijing, China.
Clin Chim Acta. 2024 Apr 15;557:117877. doi: 10.1016/j.cca.2024.117877. Epub 2024 Mar 25.
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.
本研究聚焦于蛋白质组学的最新进展，并提供了该技术在识别心血管疾病（CVD）生物标志物方面的最新应用。总共检索了八个电子数据库（PubMed、EMBASE、Web of Science、Cochrane Library、万方、维普、中国生物医学文献数据库和中国知网），其中五个数据库用于综合分析敏感性、特异性、阳性似然比（PLR）、阴性似然比（NLR）、诊断比值比（DOR）和 1 个次要指标曲线下面积（AUC）。本系统评价和综合分析总结了蛋白质组学先前鉴定的潜在生物标志物。综合分析表明，蛋白质组学技术在 CVD 诊断方面具有较高的临床价值。这些发现为 CVD 的预防或诊断提供了新的可能方向。
