Journal article
Bioinformatic analysis of HIV-1 entry and pathogenesis
Current HIV research, v 12(2)
2014
PMID: 24862329
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
The evolution of human immunodeficiency virus type 1 (HIV-1) with respect to co-receptor utilization has been shown to be relevant to HIV-1 pathogenesis and disease. The CCR5-utilizing (R5) virus has been shown to be important in the very early stages of transmission and highly prevalent during asymptomatic infection and chronic disease. In addition, the R5 virus has been proposed to be involved in neuroinvasion and central nervous system (CNS) disease. In contrast, the CXCR4-utilizing (X4) virus is more prevalent during the course of disease progression and concurrent with the loss of CD4(+) T cells. The dual-tropic virus is able to utilize both co-receptors (CXCR4 and CCR5) and has been thought to represent an intermediate transitional virus that possesses properties of both X4 and R5 viruses that can be encountered at many stages of disease. The use of computational tools and bioinformatic approaches in the prediction of HIV-1 co-receptor usage has been growing in importance with respect to understanding HIV-1 pathogenesis and disease, developing diagnostic tools, and improving the efficacy of therapeutic strategies focused on blocking viral entry. Current strategies have enhanced the sensitivity, specificity, and reproducibility relative to the prediction of co-receptor use; however, these technologies need to be improved with respect to their efficient and accurate use across the HIV-1 subtypes. The most effective approach may center on the combined use of different algorithms involving sequences within and outside of the env-V3 loop. This review focuses on the HIV-1 entry process and on co-receptor utilization, including bioinformatic tools utilized in the prediction of co-receptor usage. It also provides novel preliminary analyses for enabling identification of linkages between amino acids in V3 with other components of the HIV-1 genome and demonstrates that these linkages are different between X4 and R5 viruses.
Metrics
Details
- Title
- Bioinformatic analysis of HIV-1 entry and pathogenesis
- Creators
- Benjamas AiamkitsumritWill DampierGregory AntellNina RiveraJulio Martin-GarciaVanessa PirroneMichael R NonnemacherBrian Wigdahl - Department of Microbiology and Immunology, Drexel University College of Medicine, 245 N. 15th Street, Philadelphia, PA 19102. bwigdahl@drexelmed.edu
- Publication Details
- Current HIV research, v 12(2)
- Publisher
- Bentham; Netherlands
- Grant note
- DA19807 / NIDA NIH HHS R01 DA019807 / NIDA NIH HHS NS46263 / NINDS NIH HHS R01 NS032092 / NINDS NIH HHS 5T32MH079785 / NIMH NIH HHS NS32092 / NINDS NIH HHS R01 NS046263 / NINDS NIH HHS P30 MH092177 / NIMH NIH HHS T32 MH079785 / NIMH NIH HHS
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Microbiology and Immunology
- Web of Science ID
- WOS:000340627600007
- Scopus ID
- 2-s2.0-84905646150
- Other Identifier
- 991014877927604721
UN Sustainable Development Goals (SDGs)
This publication has contributed to the advancement of the following goals:
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Immunology
- Infectious Diseases
- Virology