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疟原虫和 vivax 疟疾的蛋白质组学研究,以鉴定替代蛋白标记物。

Proteomic investigation of falciparum and vivax malaria for identification of surrogate protein markers.

机构信息

Wadhwani Research Center for Biosciences and Bioengineering, Department of Biosciences and Bioengineering, Indian Institute of Technology Bombay, Powai, Mumbai, India.

出版信息

PLoS One. 2012;7(8):e41751. doi: 10.1371/journal.pone.0041751. Epub 2012 Aug 9.

Abstract

This study was conducted to analyze alterations in the human serum proteome as a consequence of infection by malaria parasites Plasmodium falciparum and P. vivax to obtain mechanistic insights about disease pathogenesis, host immune response, and identification of potential protein markers. Serum samples from patients diagnosed with falciparum malaria (FM) (n = 20), vivax malaria (VM) (n = 17) and healthy controls (HC) (n = 20) were investigated using multiple proteomic techniques and results were validated by employing immunoassay-based approaches. Specificity of the identified malaria related serum markers was evaluated by means of analysis of leptospirosis as a febrile control (FC). Compared to HC, 30 and 31 differentially expressed and statistically significant (p<0.05) serum proteins were identified in FM and VM respectively, and almost half (46.2%) of these proteins were commonly modulated due to both of the plasmodial infections. 13 proteins were found to be differentially expressed in FM compared to VM. Functional pathway analysis involving the identified proteins revealed the modulation of different vital physiological pathways, including acute phase response signaling, chemokine and cytokine signaling, complement cascades and blood coagulation in malaria. A panel of identified proteins consists of six candidates; serum amyloid A, hemopexin, apolipoprotein E, haptoglobin, retinol-binding protein and apolipoprotein A-I was used to build statistical sample class prediction models. By employing PLS-DA and other classification methods the clinical phenotypic classes (FM, VM, FC and HC) were predicted with over 95% prediction accuracy. Individual performance of three classifier proteins; haptoglobin, apolipoprotein A-I and retinol-binding protein in diagnosis of malaria was analyzed using receiver operating characteristic (ROC) curves. The discrimination of FM, VM, FC and HC groups on the basis of differentially expressed serum proteins demonstrates the potential of this analytical approach for the detection of malaria as well as other human diseases.

摘要

这项研究旨在分析疟原虫(恶性疟原虫和间日疟原虫)感染导致的人血清蛋白质组的改变,以获得有关疾病发病机制、宿主免疫反应和潜在蛋白质标志物的机制见解。使用多种蛋白质组学技术研究了诊断为恶性疟(FM)(n=20)、间日疟(VM)(n=17)和健康对照(HC)(n=20)的患者的血清样本,并通过基于免疫测定的方法验证了结果。通过分析发热性疾病作为发热对照(FC)来评估鉴定出的疟疾相关血清标志物的特异性。与 HC 相比,FM 和 VM 分别鉴定出 30 和 31 个差异表达且具有统计学意义的(p<0.05)血清蛋白,其中近一半(46.2%)的蛋白因两种疟原虫感染而共同调节。与 VM 相比,FM 中发现 13 种蛋白差异表达。涉及鉴定出的蛋白质的功能途径分析显示,不同重要生理途径的调节,包括急性期反应信号、趋化因子和细胞因子信号、补体级联和疟疾中的血液凝固。鉴定出的蛋白质组由六个候选物组成;血清淀粉样蛋白 A、触珠蛋白、载脂蛋白 E、结合珠蛋白、视黄醇结合蛋白和载脂蛋白 A-I 用于构建统计样本分类预测模型。通过使用 PLS-DA 和其他分类方法,超过 95%的预测准确率预测了临床表型类别(FM、VM、FC 和 HC)。使用接收者操作特征(ROC)曲线分析三个分类蛋白(结合珠蛋白、载脂蛋白 A-I 和视黄醇结合蛋白)在疟疾诊断中的个体性能。基于差异表达的血清蛋白对 FM、VM、FC 和 HC 组的区分表明,这种分析方法具有检测疟疾和其他人类疾病的潜力。

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