Plasma Olink Proteomics Reveals Novel Biomarkers for Prediction and Diagnosis in Dilated Cardiomyopathy with Heart Failure

IF 3.8 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
Shuai Xu, Ge Zhang, Xin Tan, Yiyao Zeng, Hezi Jiang, Yufeng Jiang, Xiangyu Wang, Yahui Song, Huimin Fan* and Yafeng Zhou*, 
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Abstract

In this study, we utilized the Olink Cardiovascular III panel to compare the expression levels of 92 cardiovascular-related proteins between patients with dilated cardiomyopathy combined with heart failure (DCM-HF) (n = 20) and healthy normal people (Normal) (n = 18). The top five most significant proteins, including SPP1, IGFBP7, F11R, CHI3L1, and Plaur, were selected by Olink proteomics. These proteins were further validated using ELISA in plasma samples collected from an additional cohort. ELISA validation confirmed significant increases in SPP1, IGFBP7, F11R, CHI3L1, and Plaur in DCM-HF patients compared to healthy controls. GO and KEGG analysis indicated that NT-pro BNP, SPP1, IGFBP7, F11R, CHI3L1, Plaur, BLM hydrolase, CSTB, Gal-4, CCL15, CDH5, SR-PSOX, and CCL2 were associated with DCM-HF. Correlation analysis revealed that these 13 differentially expressed proteins have strong correlations with clinical indicators such as LVEF and NT-pro BNP, etc. Additionally, in the GEO–DCM data sets, the combined diagnostic value of these five core proteins AUC values of 0.959, 0.773, and 0.803, respectively indicating the predictive value of the five core proteins for DCM-HF. Our findings suggest that these proteins may be useful biomarkers for the diagnosis and prediction of DCM-HF, and further research is prompted to explore their potential as therapeutic targets.

Abstract Image

血浆寡链蛋白组学揭示了预测和诊断扩张型心肌病合并心力衰竭的新型生物标记物
在这项研究中,我们利用 Olink Cardiovascular III 面板比较了扩张型心肌病合并心力衰竭患者(DCM-HF,n = 20)和健康正常人(Normal,n = 18)之间 92 种心血管相关蛋白的表达水平。Olink 蛋白组学筛选出了前五种最重要的蛋白质,包括 SPP1、IGFBP7、F11R、CHI3L1 和 Plaur。这些蛋白质通过 ELISA 方法在从另一个队列中收集的血浆样本中得到了进一步验证。ELISA 验证证实,与健康对照组相比,DCM-HF 患者体内 SPP1、IGFBP7、F11R、CHI3L1 和 Plaur 的含量明显增加。GO 和 KEGG 分析表明,NT-pro BNP、SPP1、IGFBP7、F11R、CHI3L1、Plaur、BLM 水解酶、CSTB、Gal-4、CCL15、CDH5、SR-PSOX 和 CCL2 与 DCM-HF 相关。相关性分析表明,这 13 个差异表达蛋白与 LVEF、NT-pro BNP 等临床指标有很强的相关性。此外,在 GEO-DCM 数据集中,这五种核心蛋白的综合诊断价值 AUC 值分别为 0.959、0.773 和 0.803,表明这五种核心蛋白对 DCM-HF 具有预测价值。我们的研究结果表明,这些蛋白可能是诊断和预测 DCM-HF 的有用生物标志物,因此需要进一步研究探索它们作为治疗靶点的潜力。
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来源期刊
Journal of Proteome Research
Journal of Proteome Research 生物-生化研究方法
CiteScore
9.00
自引率
4.50%
发文量
251
审稿时长
3 months
期刊介绍: Journal of Proteome Research publishes content encompassing all aspects of global protein analysis and function, including the dynamic aspects of genomics, spatio-temporal proteomics, metabonomics and metabolomics, clinical and agricultural proteomics, as well as advances in methodology including bioinformatics. The theme and emphasis is on a multidisciplinary approach to the life sciences through the synergy between the different types of "omics".
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