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Olink 蛋白质组学在绝经后骨质疏松症早期诊断生物标志物鉴定中的应用。

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

机构信息

Beijing Jishuitan Hospital, Capital Medical University, Xicheng District, Beijing 100035, China.

Cell Therapy Center, Beijing Institute of Geriatrics, Xuanwu Hospital Capital Medical University, National Clinical Research Center for Geriatric Diseases, and Key Laboratory of Neurodegenerative Diseases, Ministry of Education, Beijing 100053, China.

出版信息

J Proteome Res. 2024 Oct 4;23(10):4567-4578. doi: 10.1021/acs.jproteome.4c00470. Epub 2024 Sep 3.

DOI:10.1021/acs.jproteome.4c00470
PMID:39226440
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11460326/
Abstract

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 ( 24), osteopenia group ( 20), and normal bone mass group ( 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.

摘要

本研究旨在通过对绝经后骨质疏松症的分子机制研究,运用 Olink 蛋白质组学分析与绝经后骨质疏松症相关的不同血清蛋白,并鉴定用于早期检测绝经后骨质疏松症的预后标志物。随机选取北京积水潭医院收治的绝经后女性,根据双能 X 线吸收仪(DXA)T 评分将其分为三组:骨质疏松组(24 例)、骨量减少组(20 例)和正常骨量组(16 例)。采集所有参与者的血清样本,进行临床和骨代谢标志物测量。采用 Olink 蛋白质组学技术鉴定与绝经后骨质疏松症高度相关的差异表达蛋白(DEPs)。通过基因本体论(GO)和京都基因与基因组百科全书(KEGG)对 DEPs 进行功能分析。分析这些蛋白的生物学特性及其与 PMOP 的相关性。通过 ROC 曲线分析,鉴定具有最高诊断准确性的早期 PMOP 潜在生物标志物。通过 Olink 蛋白质组学,我们鉴定出与 PMOP 高度相关的五个 DEPs,包括两个上调和三个下调蛋白。TWEAK 和 CDCP1 标志物的曲线下面积最高(分别为 0.8188 和 0.8031)。TWEAK 和 CDCP1 有望成为绝经后骨质疏松症早期预测的生物标志物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/77e3/11460326/c5f3119381d3/pr4c00470_0008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/77e3/11460326/b60338285953/pr4c00470_0001.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/77e3/11460326/c5f3119381d3/pr4c00470_0008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/77e3/11460326/b60338285953/pr4c00470_0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/77e3/11460326/7ce608200da8/pr4c00470_0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/77e3/11460326/faddd7cec4e2/pr4c00470_0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/77e3/11460326/a61bc8f374a1/pr4c00470_0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/77e3/11460326/34c79e0f2a2c/pr4c00470_0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/77e3/11460326/272b1d01abfd/pr4c00470_0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/77e3/11460326/274d181f8601/pr4c00470_0007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/77e3/11460326/c5f3119381d3/pr4c00470_0008.jpg

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