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A Nonparametric Procedure for Defining a New Humoral Immunologic Profile in a Pilot Study on HIV Infected Patients

机译:在HIV感染患者的初步研究中用于定义新的体液免疫学特征的非参数方法

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摘要

This work aims at identifying a set of humoral immunologic parameters that improve prediction of the activation process in HIV patients. Starting from the well-known impact of humoral immunity in HIV infection, there is still a lack of knowledge in defining the role of the modulation of functional activity and titers of serum antibodies from early stage of infection to the development of AIDS. We propose an integrated approach that combines humoral and clinical parameters in defining the host immunity, implementing algorithms associated with virus control. A number of humoral parameters were simultaneously evaluated in a whole range of serum samples from HIV-positive patients. This issue has been afforded accounting for estimation problems typically related to “feasibility” studies where small sample size in each group and large number of parameters are jointly estimated. We used nonparametric statistical procedures to identify biomarkers in our study which included 42 subjects stratified on five different stages of HIV infection, i.e., Elite Controllers (EC), Long Term Non Progressors (LTNP), HAART, AIDS and Acute Infection (AI). The main goal of the paper is to illustrate a novel profiling method for helping to design a further confirmatory study. A set of seventeen different HIV-specific blood humoral factors were analyzed in all subjects, i.e. IgG and IgA to gp120IIIB, to gp120Bal, to whole gp41, to P1 and T20 gp41 epitopes of the MPER-HR2 region, to QARILAV gp41 epitope of the HR1 region and to CCR5; neutralization activity against five different virus strains and ADCC were also evaluated. Patients were selected on the basis of CD4 cell counts, HIV/RNA and clinical status. The Classification and Regression Trees (CART) approach has been used to uncover specific patterns of humoral parameters in different stages of HIV disease. Virus neutralization of primary virus strains and antibodies to gp41 were required to classify patients, suggesting that clinical profiles strongly rely on functional activity against HIV.
机译:这项工作旨在确定一组体液免疫学参数,以改善对HIV患者激活过程的预测。从众所周知的体液免疫对HIV感染的影响开始,从定义感染的早期到AIDS的发展,仍然缺乏知识来确定功能活性的调节作用和血清抗体滴度的作用。我们提出了一种综合方法,该方法结合体液和临床参数来定义宿主免疫力,实现与病毒控制相关的算法。同时评估了来自HIV阳性患者的整个血清样本中的许多体液参数。这个问题已经解决了通常与“可行性”研究有关的估计问题,在“可行性”研究中,每个组的样本量小且参数数量大。在我们的研究中,我们使用非参数统计程序来识别生物标志物,其中包括42个受试者,分为五个不同阶段的HIV感染,即精英控制者(EC),长期不良进展者(LTNP),HAART,艾滋病和急性感染(AI)。本文的主要目的是说明一种新颖的分析方法,以帮助设计进一步的验证性研究。在所有受试者中分析了一组十七种不同的HIV特异性血液体液因子,即IgG和IgA至gp120IIIB,gp120Bal,全gp41,MPER-HR2区的P1和T20 gp41表位,QARILAV gp41表位HR1区域和CCR5;还评估了针对五种不同病毒株和ADCC的中和活性。根据CD4细胞计数,HIV / RNA和临床状况选择患者。分类和回归树(CART)方法已被用来揭示HIV疾病不同阶段的体液参数的特定模式。需要对原发病毒株进行病毒中和以及对gp41的抗体才能对患者进行分类,这表明临床特征强烈依赖于针对HIV的功能活性。

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