Zhang BuChun, Kong XiangYong, Qiu GuangQuan, Li LongWei, Ma LiKun
Department of Cardiology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, 230001 Hefei, Anhui, China.
Rev Cardiovasc Med. 2022 Jun 24;23(7):229. doi: 10.31083/j.rcm2307229. eCollection 2022 Jul.
Proteomic studies investigating novel molecular markers of coronary artery calcification (CAC) are scarce.This study compared the protein expression in the serum of patients with severe CAC and non-CAC.
The serum from 30 patients with severe CAC and 30 matched-controls were screened by data-independent acquisition(DIA)-based proteomic technology. Bioinformatics analysis tools were used to analyze the underlying molecular mechanisms of the differentially expressed proteins. Candidate proteins were further validated by an enzyme-linked immunosorbent assay (ELISA) in an independent cohort. A receiver operating characteristic (ROC) curve was used to estimate the diagnostic power of the candidate proteins.
Among the 110 identified proteins, the expression of 81 was significantly upregulated, whereas 29 proteins were downregulated (fold change 1.5; 0.05) between patients with and without CAC. Bioinformatics analysis indicated that the differential proteins are involved in complement and coagulation cascades, platelet activation, regulation of actin cytoskeleton, or glycolysis/gluconeogenesis pathways. Further verification showed that serum levels of complement C5 (C5), fibrinogen gamma (FGG), pyruvate kinase isoform M2 (PKM2), and tropomyosin 4 (TPM4) were consistent with the proteomic findings, which could allow discrimination between CAC and non-CAC patients.
This study revealed that high serum levels of serum C5, FGG, PKM2, and TPM4 proteins were linked to severe CAC. These proteins may be developed as biomarkers to predict coronary calcification.
关于冠状动脉钙化(CAC)新型分子标志物的蛋白质组学研究较少。本研究比较了重度CAC患者和非CAC患者血清中的蛋白质表达情况。
采用基于数据非依赖采集(DIA)的蛋白质组学技术,对30例重度CAC患者和30例匹配对照的血清进行筛选。使用生物信息学分析工具分析差异表达蛋白质的潜在分子机制。通过酶联免疫吸附测定(ELISA)在独立队列中进一步验证候选蛋白质。采用受试者工作特征(ROC)曲线评估候选蛋白质的诊断能力。
在鉴定出的确110种蛋白质中,81种蛋白质的表达在CAC患者和非CAC患者之间显著上调,而29种蛋白质下调(倍数变化>1.5;P<0.05)。生物信息学分析表明,差异蛋白质参与补体和凝血级联反应、血小板活化、肌动蛋白细胞骨架调节或糖酵解/糖异生途径。进一步验证表明,补体C5(C5)、纤维蛋白原γ(FGG)、丙酮酸激酶同工酶M2(PKM2)和原肌球蛋白4(TPM4)的血清水平与蛋白质组学结果一致,这可以区分CAC患者和非CAC患者。
本研究表明,血清C5、FGG、PKM2和TPM4蛋白水平升高与重度CAC有关。这些蛋白质可能被开发为预测冠状动脉钙化的生物标志物。