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对 HIV 特异性 CD8+ T 细胞针对变异表位的反应进行的跨学科分析揭示了 TCR 的有限多样性。

Interdisciplinary analysis of HIV-specific CD8+ T cell responses against variant epitopes reveals restricted TCR promiscuity.

机构信息

Department of Systems Biology, Center for Biological Sequence Analysis, Technical University of Denmark, Lyngby, Denmark.

出版信息

J Immunol. 2010 May 1;184(9):5383-91. doi: 10.4049/jimmunol.0903516. Epub 2010 Apr 2.

Abstract

HIV-1-specific CTL responses play a key role in limiting viral replication. CTL responses are sensitive to viral escape mutations, which influence recognition of the virus. Although CTLs have been shown to recognize epitope variants, the extent of this cross-reactivity has not been quantitatively investigated in a genetically diverse cohort of HIV-1-infected patients. Using a novel bioinformatic binding prediction method, we aimed to explain the pattern of epitope-specific CTL responses based on the patients' HLA genotype and autologous virus sequence quantitatively. Sequences covering predicted and tested HLA class I-restricted epitopes (peptides) within the HIV-Gag, Pol, and Nef regions were obtained from 26 study subjects resulting in 1492 patient-specific peptide pairs. Epitopes that were recognized in ELISPOT assays were found to be significantly more similar to the autologous virus than those that did not elicit a response. A single substitution in the presented epitope decreased the chance of a CTL response by 40%. The impact of sequence similarity on cross-recognition was confirmed by testing immune responses against multiple variants of six selected epitopes. Substitutions at central positions in the epitope were particularly likely to result in abrogation of recognition. In summary, the presented data demonstrate a highly restricted promiscuity of HIV-1-specific CTL in the recognition of variant epitopes. In addition, our results illustrate that bioinformatic prediction methods are useful to study the complex pattern of CTL responses exhibited by an HIV-1-infected patient cohort and for identification of optimal targets for novel therapeutic or vaccine approaches.

摘要

HIV-1 特异性 CTL 反应在限制病毒复制中起着关键作用。CTL 反应对病毒逃逸突变敏感,这些突变影响对病毒的识别。尽管已经表明 CTL 能够识别表位变体,但在遗传多样化的 HIV-1 感染患者队列中,尚未对这种交叉反应的程度进行定量研究。我们使用一种新的生物信息学结合预测方法,旨在根据患者的 HLA 基因型和自身病毒序列定量解释表位特异性 CTL 反应的模式。从 26 名研究对象中获得了涵盖 HIV-Gag、Pol 和 Nef 区域中预测和测试的 HLA 类 I 限制性表位(肽)的序列,共获得 1492 对患者特异性肽对。在 ELISPOT 测定中被识别的表位与自身病毒明显更相似,而那些未引起反应的表位则不相似。呈递表位中的单个替换会使 CTL 反应的机会降低 40%。通过测试针对六个选定表位的多个变体的免疫反应,证实了序列相似性对交叉识别的影响。表位中心位置的替换特别可能导致识别丧失。总之,所提供的数据表明 HIV-1 特异性 CTL 在识别变体表位方面具有高度受限的混杂性。此外,我们的结果表明,生物信息学预测方法可用于研究 HIV-1 感染患者队列中 CTL 反应的复杂模式,并用于确定新的治疗或疫苗方法的最佳靶标。

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