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蛋白质组适体分析揭示了血清标志物,可用于表征有进展为明确系统性硬化症(SSc)风险的临床前系统性硬化症(SSc)患者。

Proteomic aptamer analysis reveals serum markers that characterize preclinical systemic sclerosis (SSc) patients at risk for progression toward definite SSc.

机构信息

Department of Clinical Sciences and Community Health, University of Milan, Milan, Italy.

Scleroderma Unit, Referral Center for Systemic Autoimmune Diseases, Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico, Milan, Italy.

出版信息

Arthritis Res Ther. 2023 Jan 27;25(1):15. doi: 10.1186/s13075-023-02989-w.


DOI:10.1186/s13075-023-02989-w
PMID:36707842
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9881382/
Abstract

BACKGROUND: The study of molecular mechanisms characterizing disease progression may be relevant to get insights into systemic sclerosis (SSc) pathogenesis and to intercept patients at very early stage. We aimed at investigating the proteomic profile of preclinical systemic sclerosis (PreSSc) via a discovery/validation two-step approach. METHODS: SOMAcan aptamer-based analysis was performed on a serum sample of 13 PreSSc (discovery cohort) according to 2001 LeRoy and Medsger criteria (characterized solely by Raynaud phenomenon plus a positive nailfold capillaroscopy and SSc-specific antibodies without any other sign of definite disease) and 8 healthy controls (HCs) age, gender, and ethnicity matched. Prospective data were available up to 4±0.6 years to determine the progression to definite SSc according to the EULAR/ACR 2013 classification criteria. In proteins with relative fluorescence units (RFU) > |1.5|-fold vs HCs values, univariate analysis was conducted via bootstrap aggregating models to determine the predicting accuracy (progression vs non-progression) of categorized baseline protein values. Gene Ontologies (GO terms) and Reactome terms of significant proteins at the adjusted 0.05 threshold were explored. Significant proteins from the discovery cohort were finally validated via ELISAs in an independent validation cohort of 50 PreSSc with clinical prospective data up to 5 years. Time-to-event analysis for interval-censored data was used to evaluate disease progression. RESULTS: In the discovery cohort, 286 out of 1306 proteins analyzed via SomaScan, were differentially expressed versus HCs. Ten proteins were significantly associated with disease progression; analysis through GO and Reactome showed differentially enriched pathways involving angiogenesis, endothelial cell chemotaxis, and endothelial cell chemotaxis to fibroblast growth factor (FGF). In the validation cohort, endostatin (HR=10.23, CI95=2.2-47.59, p=0.003) was strongly associated with disease progression, as well as bFGF (HR=0.84, CI95=0.709-0.996, p=0.045) and PAF-AHβ (HR=0.372, CI95=0.171-0.809, p=0.013) CONCLUSIONS: A distinct protein profile characterized PreSSc from HCs and proteins associated with hypoxia, vasculopathy, and fibrosis regulation are linked with the progression from preclinical to definite SSc. These proteins, in particular endostatin, can be regarded both as markers of severity and molecules with pathogenetic significance as well as therapeutic targets.

摘要

背景:研究疾病进展的分子机制可能有助于深入了解系统性硬化症(SSc)的发病机制,并在早期阶段拦截患者。我们旨在通过发现/验证两步法研究临床前系统性硬化症(PreSSc)的蛋白质组特征。

方法:根据 2001 年 LeRoy 和 Medsger 标准(仅表现为雷诺现象、阳性甲褶毛细血管镜检和 SSc 特异性抗体,无任何其他明确疾病迹象),对 13 例 PreSSc(发现队列)的血清样本进行了基于 SOMAcan 适体的分析,并与 8 例年龄、性别和种族匹配的健康对照(HCs)进行了比较。前瞻性数据可获得长达 4±0.6 年,以根据 EULAR/ACR 2013 分类标准确定向明确的 SSc 的进展。在相对荧光单位(RFU)值> |1.5|-倍的蛋白质中,通过 bootstrap 聚合模型进行单变量分析,以确定分类基线蛋白值的预测准确性(进展与非进展)。在调整后的 0.05 阈值下,对显著蛋白进行基因本体论(GO 术语)和 Reactome 术语探索。通过对具有 5 年临床前瞻性数据的 50 例 PreSSc 的独立验证队列进行 ELISA 验证,对发现队列中的显著蛋白进行最终验证。使用间隔时间截断数据的时间事件分析来评估疾病进展。

结果:在发现队列中,通过 SomaScan 分析的 1306 种蛋白质中有 286 种与 HCs 相比存在差异表达。有 10 种蛋白质与疾病进展显著相关;通过 GO 和 Reactome 分析表明,涉及血管生成、内皮细胞趋化性和内皮细胞趋化性向成纤维细胞生长因子(FGF)的差异丰富途径。在验证队列中,内皮抑素(HR=10.23,CI95=2.2-47.59,p=0.003)和 bFGF(HR=0.84,CI95=0.709-0.996,p=0.045)以及 PAF-AHβ(HR=0.372,CI95=0.171-0.809,p=0.013)与疾病进展强烈相关。

结论:与 HCs 相比,临床前 SSc 具有独特的蛋白质谱特征,与缺氧、血管病变和纤维化调节相关的蛋白质与从临床前到明确 SSc 的进展有关。这些蛋白质,特别是内皮抑素,既可以作为严重程度的标志物,也可以作为具有发病意义和治疗靶点的分子。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/77f6/9881382/8089e347e99e/13075_2023_2989_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/77f6/9881382/7ba1e79ab307/13075_2023_2989_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/77f6/9881382/385b5d5c0af7/13075_2023_2989_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/77f6/9881382/da9fae74c074/13075_2023_2989_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/77f6/9881382/8089e347e99e/13075_2023_2989_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/77f6/9881382/7ba1e79ab307/13075_2023_2989_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/77f6/9881382/385b5d5c0af7/13075_2023_2989_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/77f6/9881382/da9fae74c074/13075_2023_2989_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/77f6/9881382/8089e347e99e/13075_2023_2989_Fig4_HTML.jpg

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[6]
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[7]
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[8]
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[9]
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[10]
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本文引用的文献

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