ArticleFrontiers in immunology2021
Inverted CD8 T-Cell Exhaustion and Co-Stimulation Marker Balance Differentiate Aviremic HIV-2-Infected From Seronegative Individuals.
Article in Frontiers in immunology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 9 citations in OpenAlex.
- Identification of key genes associated with T cell exhaustion in HIV infection based on transcriptomic data.Virology journal · 2026Article
- HIV-2 mediated effects on target and bystander cells induce plasma proteome remodeling.iScience · 2024Article
- Hierarchical transcriptional network governing heterogeneous T cell exhaustion and its implications for immune checkpoint blockade.Frontiers in immunology · 2023Review
- Article
- The Road Less Taken: Less Appreciated Pathways for Manipulating CD8Frontiers in immunology · 2022Review
- Role of CXCR5Frontiers in microbiology · 2022Review
Corrections and comments
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Authors and funding
15 authors at 5 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
HIV-2 is less pathogenic compared to HIV-1. Still, disease progression may develop in aviremic HIV-2 infection, but the driving forces and mechanisms behind such development are unclear. Here, we aimed to reveal the immunophenotypic pattern associated with CD8 T-cell pathology in HIV-2 infection, in relation to viremia and markers of disease progression. The relationships between pathological differences of the CD8 T-cell memory population and viremia were analyzed in blood samples obtained from an occupational cohort in Guinea-Bissau, including HIV-2 viremic and aviremic individuals. For comparison, samples from HIV-1- or dually HIV-1/2-infected and seronegative individuals were obtained from the same cohort. CD8 T-cell exhaustion was evaluated by the combined expression patterns of activation, stimulatory and inhibitory immune checkpoint markers analyzed using multicolor flow cytometry and advanced bioinformatics. Unsupervised multidimensional clustering analysis identified a cluster of late differentiated CD8 T-cells expressing activation (CD38+, HLA-DR
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Registered trials
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