Evidence map›Paper›PMID 42439638›Full record

ArticleCells2026

Distinct Innate and Adaptive Immune Modules Differentially Associate with HIV Reservoir Size and Decay During Early Antiretroviral Therapy.

Wei-Zhe Li, Hui-Huang Huang, Hui-Fang Wang, Xia Li, Ming-Ju Zhou, Yu-Xuan Yang, You-Yuan Wang, Meng-Meng Zhu, Ying Sun, Si-Yuan Chen and 8 more

Abstract read
In one paragraph

Article in Cells, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

18 authors.

Wei-Zhe LiMedical School of Chinese People's Liberation Army (PLA), Beijing 100853, China.ORCID 0000-0001-5691-0415
Hui-Huang HuangSenior Department of Infectious Diseases, Chinese PLA General Hospital, Beijing 100039, China.
Hui-Fang WangDepartment of Immunology & Microbiology, School of Basic Medical Sciences, Zhengzhou University, Zhengzhou 450001, China.
Xia LiSenior Department of Infectious Diseases, Chinese PLA General Hospital, Beijing 100039, China.
Ming-Ju ZhouSenior Department of Infectious Diseases, Chinese PLA General Hospital, Beijing 100039, China.
Yu-Xuan YangSenior Department of Infectious Diseases, Chinese PLA General Hospital, Beijing 100039, China.
You-Yuan WangMedical School of Chinese People's Liberation Army (PLA), Beijing 100853, China.
Meng-Meng ZhuSenior Department of Infectious Diseases, Chinese PLA General Hospital, Beijing 100039, China.
Ying SunSenior Department of Infectious Diseases, Chinese PLA General Hospital, Beijing 100039, China.
Si-Yuan ChenSenior Department of Infectious Diseases, Chinese PLA General Hospital, Beijing 100039, China.
Xing FanSenior Department of Infectious Diseases, Chinese PLA General Hospital, Beijing 100039, China.ORCID 0000-0002-0809-9207
Yan-Mei JiaoSenior Department of Infectious Diseases, Chinese PLA General Hospital, Beijing 100039, China.
Jin-Wen SongSenior Department of Infectious Diseases, Chinese PLA General Hospital, Beijing 100039, China.ORCID 0000-0002-8582-8012
Ruo-Nan XuSenior Department of Infectious Diseases, Chinese PLA General Hospital, Beijing 100039, China.
Cheng ZhenSenior Department of Infectious Diseases, Chinese PLA General Hospital, Beijing 100039, China.
Ming ShiSenior Department of Infectious Diseases, Chinese PLA General Hospital, Beijing 100039, China.
Chao ZhangSenior Department of Infectious Diseases, Chinese PLA General Hospital, Beijing 100039, China.ORCID 0000-0001-8126-8145
Fu-Sheng WangSenior Department of Infectious Diseases, Chinese PLA General Hospital, Beijing 100039, China.

Funding

National Key R&D Program of China 2023YFC2306800National Natural Science Foundation of China 82271857National Science and Technology Major Project 2025ZD01905305
6 · The paper itself

Abstract

HIV reservoir size and decay represent distinct dimensions of viral persistence, yet whether they are governed by shared or separable immunological mechanisms during early antiretroviral therapy (ART) remains unclear. In this study, we employed multiparameter flow cytometry and bulk RNA sequencing to analyze longitudinal immune profiles across 21 treatment-naïve people living with HIV before ART initiation and at 1 and 5 months thereafter. Our findings revealed an apparent dissociation between HIV-1 DNA levels and decay rates in peripheral blood, and the two indicators appear to be relatively independent dimensions of viral persistence. Specifically, lower HIV-1 DNA levels were associated with higher frequencies of cytotoxic and adaptive-like natural killer (NK) cell subsets, whereas faster HIV-1 DNA decay was linked to restored HIV-specific CD4+ and CD8+ T-cell responses during treatment. Notably, transcriptomic analyses uncovered divergent gene expression signatures related to B cell-associated immunity and type I interferon pathways, with individuals with higher HIV-1 DNA levels exhibiting elevated expression of immunoglobulin and interferon-stimulated genes, while faster decay correlated with enrichment of antiviral and complement-related genes. Collectively, these findings provide a preliminary characterization of immune correlates of peripheral blood total HIV-1 DNA dynamics in the early phase following ART initiation. This work offers potential immune clues for exploring the viral reservoir and generates testable hypotheses for validation in future large cohorts.

Indexed as

Adaptive ImmunityHIV-1HIV InfectionsImmunity, InnateAdultCD4-Positive T-LymphocytesCD8-Positive T-LymphocytesDNA, ViralFemaleHumansKiller Cells, NaturalMaleViral LoadDNA, Viraladaptive immunityantiretroviral therapy (ART)HIV reservoirHIV-specific T cellsinnate immunityNK cells

Identifiers

PMID42439638
PMCPMC13359910

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.