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在多名患有神经疾病的患者中发现了大脑特异性 HIV Nef。

Brain-specific HIV Nef identified in multiple patients with neurological disease.

机构信息

Bioinfoexperts LLC, Thibodaux, LA, 70301, USA.

Natural Selection, Inc, San Diego, CA, USA.

出版信息

J Neurovirol. 2018 Feb;24(1):1-15. doi: 10.1007/s13365-017-0586-0. Epub 2017 Oct 23.

Abstract

HIV-1 Nef is a flexible, multifunctional protein with several cellular targets that is required for pathogenicity of the virus. This protein maintains a high degree of genetic variation among intra- and inter-host isolates. HIV Nef is relevant to HIV-associated neurological diseases (HAND) in patients treated with combined antiretroviral therapy because of the protein's role in promoting survival and migration of infected brain macrophages. In this study, we analyzed 2020 HIV Nef sequences derived from 22 different tissues and 31 subjects using a novel computational approach. This approach combines statistical regression and evolved neural networks (ENNs) to classify brain sequences based on the physical and chemical characteristics of functional Nef domains. Based on training, testing, and validation data, the method successfully classified brain Nef sequences at 84.5% and provided informative features for further examination. These included physicochemical features associated with the Src-homology-3 binding domain, the Nef loop (including the AP-2 Binding region), and a cytokine-binding domain. Non-brain sequences from patients with HIV-associated neurological disease were frequently classified as brain, suggesting that the approach could indicate neurological risk using blood-derived virus or for the development of biomarkers for use in assay systems aimed at drug efficacy studies for the treatment of HIV-associated neurological diseases.

摘要

HIV-1 Nef 是一种具有多种细胞靶标的灵活多功能蛋白,是病毒致病性所必需的。该蛋白在病毒内和病毒间分离株中保持着高度的遗传变异。由于 HIV Nef 在促进感染大脑巨噬细胞存活和迁移方面的作用,该蛋白与接受联合抗逆转录病毒治疗的患者的 HIV 相关神经疾病 (HAND) 有关。在这项研究中,我们使用一种新的计算方法分析了来自 22 个不同组织和 31 个个体的 2020 个 HIV Nef 序列。该方法结合了统计回归和进化神经网络 (ENNs),根据功能性 Nef 结构域的物理和化学特性对大脑序列进行分类。基于训练、测试和验证数据,该方法成功地对大脑 Nef 序列进行了 84.5%的分类,并提供了进一步检查的信息特征。这些特征包括与 Src-homology-3 结合域、Nef 环(包括 AP-2 结合区)和细胞因子结合域相关的物理化学特征。来自 HIV 相关神经疾病患者的非大脑序列经常被归类为大脑,这表明该方法可以使用血液衍生的病毒或用于检测系统的生物标志物来指示神经风险,这些系统旨在研究治疗 HIV 相关神经疾病的药物疗效。

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