Single-cell transcriptome profiling reveals immunological fitness of HIV long-term non-progressors

Long-term non-progressors (LTNPs) represent a valuable model to investigate immunological features associated with non-progression in chronic HIV infection. In this study, single-cell RNA sequencing was performed on peripheral blood mononuclear cells obtained from 12 individuals, including 4 LTNPs, 4 typical progressors (TPs), and 4 healthy donors (HDs). Compared with TPs, LTNPs exhibited a higher percentage of naive T cells, whereas TPs showed a higher percentage of CD8<sup>+</sup> Effector-GNLY cells. LTNPs also exhibited lower gene-expression scores related to T-cell activation, cytotoxicity, inflammation, and interferon-alpha response across multiple effector-state T-cell subsets. GO enrichment analysis showed that compared with HDs and TPs, LTNPs exhibited downregulation of migration, translation, and antiviral response pathways in both CD4<sup>+</sup> and CD8<sup>+</sup> T cells, with upregulation of stress/inflammatory response and differentiation programs in CD4<sup>+</sup> T cells and of immune differentiation/activation pathways in CD8<sup>+</sup> T cells. High-dimensional weighted gene co-expression network analysis (hdWGCNA) further revealed higher module eigengene expression of innate and myeloid-related modules and lower expression of B-cell and cytotoxicity-related modules in LTNPs compared with TPs. Additionally, HIV-1 RNA<sup>+</sup> cells were detected more frequently in TPs than in LTNPs and predominantly identified within CD4<sup>+</sup> T cells. Together, these findings reveal a transcriptionally balanced and favorable immunological profile associated with non-progressive HIV infection and inform the design of immune-based strategies toward a functional HIV cure.IMPORTANCEUnderstanding molecular traits associated with natural control in LTNPs is critical for advancing HIV remission and cure strategies. Using single-cell RNA sequencing, we found that LTNPs had more naive T cells and fewer CD8<sup>+</sup> effector-GNLY cells than typical progressors, along with lower activation, cytotoxicity, inflammation, and IFN-α scores across effector-state T-cell subsets. Differential expression and GO analyses showed predominant downregulation of migration, translation, and antiviral pathways, while preserving early activation markers. Co-expression network analysis revealed higher innate/immune-regulatory module activity and lower B-cell and cytotoxicity modules in LTNPs. HIV-1 RNA<sup>+</sup> cells were detected less frequently in LTNPs and mainly detected in CD4<sup>+</sup> T cells. These findings highlight balanced immune programs in LTNPs, which may inform strategies toward a functional HIV cure.

Authors

Institutions

Publication Details

Journal
Journal of Virology
Published
2025-11-24
DOI
https://doi.org/10.1128/jvi.01597-25
Primary Topic
HIV Research and Treatment
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Single-cell transcriptome profiling reveals immunological fitness of HIV long-term non-progressors

Caijun Sun, Tongjin Wu, Tongxue Qin, Xiu Chen et al.
Journal of Virology
HIV Research and Treatment
article

Single-cell transcriptome profiling reveals immunological fitness of HIV long-term non-progressors

Caijun Sun, Tongjin Wu, Tongxue Qin, Xiu Chen, Minjuan Shi, Junjun Jiang, Rongfeng Chen, Chun‐Xia Yi, Hao Liang, Li Ye, Yu Liao, Beibei Lu, Junqi Liu, Ziyu Wen
article en

Abstract

Long-term non-progressors (LTNPs) represent a valuable model to investigate immunological features associated with non-progression in chronic HIV infection. In this study, single-cell RNA sequencing was performed on peripheral blood mononuclear cells obtained from 12 individuals, including 4 LTNPs, 4 typical progressors (TPs), and 4 healthy donors (HDs). Compared with TPs, LTNPs exhibited a higher percentage of naive T cells, whereas TPs showed a higher percentage of CD8<sup>+</sup> Effector-GNLY cells. LTNPs also exhibited lower gene-expression scores related to T-cell activation, cytotoxicity, inflammation, and interferon-alpha response across multiple effector-state T-cell subsets. GO enrichment analysis showed that compared with HDs and TPs, LTNPs exhibited downregulation of migration, translation, and antiviral response pathways in both CD4<sup>+</sup> and CD8<sup>+</sup> T cells, with upregulation of stress/inflammatory response and differentiation programs in CD4<sup>+</sup> T cells and of immune differentiation/activation pathways in CD8<sup>+</sup> T cells. High-dimensional weighted gene co-expression network analysis (hdWGCNA) further revealed higher module eigengene expression of innate and myeloid-related modules and lower expression of B-cell and cytotoxicity-related modules in LTNPs compared with TPs. Additionally, HIV-1 RNA<sup>+</sup> cells were detected more frequently in TPs than in LTNPs and predominantly identified within CD4<sup>+</sup> T cells. Together, these findings reveal a transcriptionally balanced and favorable immunological profile associated with non-progressive HIV infection and inform the design of immune-based strategies toward a functional HIV cure.IMPORTANCEUnderstanding molecular traits associated with natural control in LTNPs is critical for advancing HIV remission and cure strategies. Using single-cell RNA sequencing, we found that LTNPs had more naive T cells and fewer CD8<sup>+</sup> effector-GNLY cells than typical progressors, along with lower activation, cytotoxicity, inflammation, and IFN-α scores across effector-state T-cell subsets. Differential expression and GO analyses showed predominant downregulation of migration, translation, and antiviral pathways, while preserving early activation markers. Co-expression network analysis revealed higher innate/immune-regulatory module activity and lower B-cell and cytotoxicity modules in LTNPs. HIV-1 RNA<sup>+</sup> cells were detected less frequently in LTNPs and mainly detected in CD4<sup>+</sup> T cells. These findings highlight balanced immune programs in LTNPs, which may inform strategies toward a functional HIV cure.

Journal of VirologyVol. 99(12)
Sun Yat-sen University (CN), Guangxi Medical University (CN), National University of Singapore (SG), Chinese Academy of Sciences (CN)
Openalex Percentile: Top 62%
HIV Research and Treatment
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.