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2
Global and regional molecular epidemiology of HIV-1, 1990-2015: a systematic review, global survey, and trend analysis.全球和区域 1990-2015 年 HIV-1 的分子流行病学:系统评价、全球调查和趋势分析。
Lancet Infect Dis. 2019 Feb;19(2):143-155. doi: 10.1016/S1473-3099(18)30647-9. Epub 2018 Nov 30.
3
Escape from humoral immunity is associated with treatment failure in HIV-1-infected patients receiving long-term antiretroviral therapy.逃避体液免疫与接受长期抗逆转录病毒治疗的 HIV-1 感染患者的治疗失败有关。
Sci Rep. 2017 Jul 24;7(1):6222. doi: 10.1038/s41598-017-05594-5.
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Does antiretroviral treatment change HIV-1 codon usage patterns in its genes: a preliminary bioinformatics study.抗逆转录病毒治疗是否会改变HIV-1基因中的密码子使用模式:一项初步的生物信息学研究。
AIDS Res Ther. 2017 Jan 7;14(1):2. doi: 10.1186/s12981-016-0130-y.
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Enfuvirtide-PEG conjugate: A potent HIV fusion inhibitor with improved pharmacokinetic properties.恩夫韦肽 - 聚乙二醇缀合物:一种具有改善药代动力学特性的强效HIV融合抑制剂。
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Statistical correlation of nonconservative substitutions of HIV gp41 variable amino acid residues with the R5X4 HIV-1 phenotype.HIV gp41可变氨基酸残基的非保守性替换与R5X4 HIV-1表型的统计相关性。
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8
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印度HIV-1 C亚型gp41的序列多样性与选择压力分析。

Analysis of sequence diversity and selection pressure in HIV-1 clade C gp41 from India.

作者信息

Sutar Jyoti, Padwal Varsha, Nagar Vidya, Patil Priya, Patel Vainav, Bandivdekar Atmaram

机构信息

Department of Biochemistry, National Institute for Research in Reproductive Health (NIRRH), Indian Council of Medical Research (ICMR), Parel, Mumbai, India.

Department of Medicine, Grant Government Medical College, Byculla, Mumbai, India.

出版信息

Virusdisease. 2020 Sep;31(3):277-291. doi: 10.1007/s13337-020-00595-x. Epub 2020 May 12.

DOI:10.1007/s13337-020-00595-x
PMID:32904888
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7458999/
Abstract

Evaluation of viral diversity is critical for the rational design of treatment modalities against Human immunodeficiency virus (HIV). Predominated by HIV-1 clade C (HIV-1C), the epidemic in India represents the third largest population infected with HIV-1 globally. Glycoprotein 41 (gp41) is critical for viral replication and is a target for the design of therapeutic strategies. However, documentation of viral diversity of gp41 gene in infected individuals from India remains limited. Present study employed high throughput sequencing to examine variation in gp41 amplicons generated from blood derived viruses in 24 HIV-1C infected individuals from Mumbai, India. Sequence diversity profiles were documented in different functional domains of gp41. Furthermore, through a meta-analysis approach, all reported gp41 sequences from India (N = 70) were compared with those from South Africa (N = 126), country with the largest HIV epidemic globally, also predominated by HIV-1C. A total of 44 positions displayed statistically significant differential ( < 0.05) Shannon entropy in the two regions. This comparison also identified 11 codon sites undergoing distinct selection, 8 of which remained differentially selected in an extended comparison of data from Asia (N = 137) and Africa(N = 383). Assessment of correlated mutation networks associated with differentially selected residues revealed common as well as distinct interaction networks. Furthermore, codon usage analysis revealed 17 differentially selected codons (Mann-Whitney test,  < 0.001) in Asia and Africa. Dissimilar trends in GC content across codon positions were also observed. In depth understanding of these divergent evolutionary signatures through extended analysis with larger data-sets would assist development of effective interventions being considered for HIV-1C.

摘要

评估病毒多样性对于合理设计抗人类免疫缺陷病毒(HIV)的治疗方案至关重要。在印度,以HIV-1 C亚型(HIV-1C)为主导的疫情表明该国是全球第三大HIV-1感染人群。糖蛋白41(gp41)对病毒复制至关重要,是治疗策略设计的靶点。然而,印度感染个体中gp41基因的病毒多样性记录仍然有限。本研究采用高通量测序技术,检测了来自印度孟买的24名HIV-1C感染个体血液衍生病毒产生的gp41扩增子的变异情况。记录了gp41不同功能域的序列多样性图谱。此外,通过荟萃分析方法,将印度所有已报道的gp41序列(N = 70)与南非(N = 126)的序列进行了比较,南非是全球HIV疫情最严重的国家,同样以HIV-1C为主导。在这两个地区,共有44个位点的香农熵显示出统计学上的显著差异(<0.05)。该比较还确定了11个经历不同选择的密码子位点,其中8个在亚洲(N = 137)和非洲(N = 383)的数据扩展比较中仍存在差异选择。对与差异选择残基相关的相关突变网络的评估揭示了共同以及不同的相互作用网络。此外,密码子使用分析揭示了亚洲和非洲有17个差异选择的密码子(曼-惠特尼检验,<0.001)。在密码子位置上还观察到GC含量的不同趋势。通过使用更大数据集的扩展分析深入了解这些不同的进化特征,将有助于开发针对HIV-1C的有效干预措施。