Olink 蛋白质组学用于绝经后骨质疏松症早期诊断生物标志物的鉴定。

IF 4.3 3区 材料科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
ACS Applied Electronic Materials Pub Date : 2024-10-04 Epub Date: 2024-09-03 DOI:10.1021/acs.jproteome.4c00470
Chunyan Li, Xinwei Zang, Heng Liu, Shangqi Yin, Xiang Cheng, Wei Zhang, Xiangyu Meng, Liyuan Chen, Shuai Lu, Jun Wu
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引用次数: 0

摘要

本研究旨在利用Olink蛋白质组学分析与绝经后骨质疏松症(PMOP)相关的不同血清蛋白,并通过对绝经后骨质疏松症的分子机制研究,确定早期发现PMOP的预后标志物。随机选取北京积水潭医院收治的绝经后妇女,根据其双能X射线吸收测定(DXA)T值将其分为三组:骨质疏松症组(24人)、骨质疏松症组(20人)和骨量正常组(16人)。收集所有参与者的血清样本,用于临床和骨代谢标志物测量。Olink 蛋白质组学用于鉴定与绝经后骨质疏松症高度相关的差异表达蛋白(DEPs)。使用基因本体和 Kyto 基因组百科全书 (KEGG) 对 DEPs 进行了功能分析。随后分析了这些蛋白质的生物学特征及其与 PMOP 的相关性。通过 ROC 曲线分析,确定了对早期 PMOP 诊断准确性最高的潜在生物标志物。通过Olink蛋白质组学,我们发现了5个与PMOP高度相关的DEPs,包括2个上调蛋白和3个下调蛋白。TWEAK和CDCP1标记物的曲线下面积最大(分别为0.8188和0.8031)。TWEAK 和 CDCP1 有可能成为绝经后骨质疏松症早期预测的生物标记物。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Olink Proteomics for the Identification of Biomarkers for Early Diagnosis of Postmenopausal Osteoporosis.

Olink Proteomics for the Identification of Biomarkers for Early Diagnosis of Postmenopausal Osteoporosis.

This investigation aims to employ Olink proteomics in analyzing the distinct serum proteins associated with postmenopausal osteoporosis (PMOP) and identifying prognostic markers for early detection of PMOP via molecular mechanism research on postmenopausal osteoporosis. Postmenopausal women admitted to Beijing Jishuitan Hospital were randomly selected and categorized into three groups based on their dual-energy X-ray absorptiometry (DXA) T-scores: osteoporosis group (n = 24), osteopenia group (n = 20), and normal bone mass group (n = 16). Serum samples from all participants were collected for clinical and bone metabolism marker measurements. Olink proteomics was utilized to identify differentially expressed proteins (DEPs) that are highly associated with postmenopausal osteoporosis. The functional analysis of DEPs was performed using Gene Ontology and Kyto Encyclopedia Genes and Genomes (KEGG). The biological characteristics of these proteins and their correlation with PMOP were subsequently analyzed. ROC curve analysis was performed to identify potential biomarkers with the highest diagnostic accuracy for early stage PMOP. Through Olink proteomics, we identified five DEPs highly associated with PMOP, including two upregulated and three downregulated proteins. TWEAK and CDCP1 markers exhibited the highest area under the curve (0.8188 and 0.8031, respectively). TWEAK and CDCP1 have the potential to serve as biomarkers for early prediction of postmenopausal osteoporosis.

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来源期刊
CiteScore
7.20
自引率
4.30%
发文量
567
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