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用于登革热疾病严重程度生物标志物的临床蛋白质组学和细胞因子分析。

Clinical Proteomics and Cytokine Profiling for Dengue Fever Disease Severity Biomarkers.

机构信息

1 Department of Biosciences and Bioengineering, Indian Institute of Technology Bombay , Mumbai, India .

2 Department of Medicine, Medical College Hospital Kolkata , Kolkata, India .

出版信息

OMICS. 2017 Nov;21(11):665-677. doi: 10.1089/omi.2017.0135. Epub 2017 Nov 1.

DOI:10.1089/omi.2017.0135
PMID:29091011
Abstract

Dengue fever (DF) is a major global health burden with a pathophysiology that is still incompletely understood. Biomarkers that predict and explain susceptibility to DF and its progression to its more severe hemorrhagic form are much needed. DF is endemic in tropical and subtropical regions of the world, with a rapidly increasing incidence of disease severity. We conducted a clinical biomarker discovery study using both a case-control and longitudinal study design. Plasma proteome alterations in patients with DF (n = 12) and dengue hemorrhagic fever (DHF, n = 24) were analyzed in comparison to healthy controls (HCs, n = 16), using the isobaric tags for relative and absolute quantification (iTRAQ)-based quantitative proteomics methodology (false discovery rate of 1%, ≥2 peptides). Several proteins such as the alpha-2 macroglobulin, angiotensinogen, apolipoprotein B-100, serotransferrin, and ceruloplasmin were upregulated (fold change >1.2) in all DHF cases, and downregulated in DF (fold change <0.83), compared with HCs. Plasma cytokine profiling (8 DF, 8 DHF, and 8 HC) on two consecutive time points, at day 0 (day of admission) and days 5-7, found significant elevation in IL-1RA, IL-7, TNF-α, MCP1-MCAF, and MIP-1β levels, but only in the DHF cases, which is the severe disease, and not in DF, compared with HCs (p < 0.05). These new observations on changes in the plasma proteome and cytokine profiles in patients with dengue infection identify several putative molecular leads for future biomarker development and precision medicine in relation to forecasting DF disease severity.

摘要

登革热(DF)是全球主要的健康负担之一,其病理生理学仍不完全清楚。急需预测 DF 易感性及其向更严重出血形式进展的生物标志物。DF 在世界热带和亚热带地区流行,疾病严重程度的发病率迅速上升。我们使用病例对照和纵向研究设计进行了一项临床生物标志物发现研究。使用基于等重标记相对和绝对定量(iTRAQ)的定量蛋白质组学方法(假发现率为 1%,≥2 个肽),分析了 DF(n=12)和登革出血热(DHF,n=24)患者与健康对照(HC,n=16)的血浆蛋白质组改变。与 HCs 相比,几种蛋白质如α-2 巨球蛋白、血管紧张素原、载脂蛋白 B-100、转铁蛋白和铜蓝蛋白在所有 DHF 病例中均上调(倍数变化>1.2),而在 DF 中下调(倍数变化<0.83)。在连续两个时间点(入院日 0 天和 5-7 天)对 8 例 DF、8 例 DHF 和 8 例 HC 的血浆细胞因子谱进行分析,发现白细胞介素 1 受体拮抗剂(IL-1RA)、白细胞介素 7(IL-7)、肿瘤坏死因子-α(TNF-α)、单核细胞趋化蛋白 1-巨噬细胞炎症蛋白 1 趋化因子(MCP1-MCAF)和巨噬细胞炎性蛋白 1β(MIP-1β)水平显著升高,但仅在 DHF 病例中升高,这是严重疾病,而在 DF 中没有升高,与 HCs 相比(p<0.05)。这些关于登革热感染患者血浆蛋白质组和细胞因子谱变化的新观察结果确定了一些潜在的分子线索,用于未来的生物标志物开发和与预测 DF 疾病严重程度相关的精准医学。

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