Evidence map›Paper›PMID 42670455›Full record

ArticleAIDS research and treatment2026

Therapeutic Failure or Success Risk Associated With the Dynamic of Immunological Parameters in People Living With HIV-1 on Antiretroviral Treatment in Benin.

Yaou Pierrot Assogba, Odilon Paterne Nouatin, Edmond Tchiakpe, Adefounke Prudencia Adechina, Rufine Abossèdé Fachinan, Roukoyath Moyoriola Adegnika, Euloge Sènan Adjou, Halimatou Diop-Ndiaye, Honoré Sourou Bankole, Akadiri Yessoufou

Abstract read
In one paragraph

Article in AIDS research and treatment, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

10 authors.

Yaou Pierrot AssogbaLaboratory of Integrative Biology for Therapeutic Innovation (BioInov), Unit of Cellular Biology and Immunology of Chronic and Infectious Diseases (UBCI-MCI), Faculty of Sciences and Technology (FAST), University of Abomey-Calavi (UAC), 01 BP 526, Cotonou, Benin, uac.bj.ORCID https://orcid.org/0009-0009-7020-3165
Odilon Paterne NouatinClinical Research Institute of Benin, Abomey-Calavi 04 BP 1114, Cotonou, Benin.ORCID https://orcid.org/0000-0002-6255-1145
Edmond TchiakpeLaboratory of Integrative Biology for Therapeutic Innovation (BioInov), Unit of Cellular Biology and Immunology of Chronic and Infectious Diseases (UBCI-MCI), Faculty of Sciences and Technology (FAST), University of Abomey-Calavi (UAC), 01 BP 526, Cotonou, Benin, uac.bj.ORCID https://orcid.org/0000-0003-3594-2105
Adefounke Prudencia AdechinaLaboratory of Integrative Biology for Therapeutic Innovation (BioInov), Unit of Cellular Biology and Immunology of Chronic and Infectious Diseases (UBCI-MCI), Faculty of Sciences and Technology (FAST), University of Abomey-Calavi (UAC), 01 BP 526, Cotonou, Benin, uac.bj.ORCID https://orcid.org/0009-0008-6281-9923
Rufine Abossèdé FachinanLaboratory of Integrative Biology for Therapeutic Innovation (BioInov), Unit of Cellular Biology and Immunology of Chronic and Infectious Diseases (UBCI-MCI), Faculty of Sciences and Technology (FAST), University of Abomey-Calavi (UAC), 01 BP 526, Cotonou, Benin, uac.bj.ORCID https://orcid.org/0000-0002-9313-2824
Roukoyath Moyoriola AdegnikaLaboratory of Integrative Biology for Therapeutic Innovation (BioInov), Unit of Cellular Biology and Immunology of Chronic and Infectious Diseases (UBCI-MCI), Faculty of Sciences and Technology (FAST), University of Abomey-Calavi (UAC), 01 BP 526, Cotonou, Benin, uac.bj.
Euloge Sènan AdjouLaboratory of Integrative Biology for Therapeutic Innovation (BioInov), Unit of Cellular Biology and Immunology of Chronic and Infectious Diseases (UBCI-MCI), Faculty of Sciences and Technology (FAST), University of Abomey-Calavi (UAC), 01 BP 526, Cotonou, Benin, uac.bj.
Halimatou Diop-NdiayeLaboratory of Bacteriology-Virology of CHU Aristide Le Dantec Hospital, University Cheikh Anta Diop of Dakar, BP 5005, Dakar, Senegal.ORCID https://orcid.org/0000-0001-5885-5448
Honoré Sourou BankoleResearch Unit in Applied Microbiology and Pharmacology of Natural Substances (URMAPHA), EPAC, University of Abomey-Calavi (UAC), 01 BP 2009, Cotonou, Benin, uac.bj.
Akadiri YessoufouLaboratory of Integrative Biology for Therapeutic Innovation (BioInov), Unit of Cellular Biology and Immunology of Chronic and Infectious Diseases (UBCI-MCI), Faculty of Sciences and Technology (FAST), University of Abomey-Calavi (UAC), 01 BP 526, Cotonou, Benin, uac.bj.ORCID https://orcid.org/0000-0002-9118-1534

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Until now, human immunodeficiency virus type 1 infection monitoring is based on plasma viral load and cluster of differentiation (CD)4-positive cells from thymus (CD4+ T cells) count. However, it is increasingly accepted that this biological monitoring should be strengthened with other markers that would reinforce the management. Therefore, we addressed this task by assessing the risk associated with therapeutic failure/success linked to the dynamic of immunological parameters in people living with HIV-1 (PLHIV-1) and on antiretroviral therapy (ART) in order to identify their prognostic values. Ninety enrolled PLHIV-1 were classified according to their therapeutic status. Twenty healthy persons were also recruited as a control group. Serum cytokine levels and immune cell frequencies were determined, and the risk of therapeutic failure associated with immunological parameters was assessed. We observed low frequencies of CD4+ T, natural killer (NK), natural killer T (NKT) cells, classical monocytes, nonclassical monocytes, granulocytes, and high frequency of CD8+ T cells in all PLHIV-1 groups in treatment failure under dolutegravir (DTG) and efavirenz (EFV) regimens compared to control participants. Moreover, interferon-gamma (IFN-γ) levels decreased in PLHIV-1 with therapeutic success under the DTG regimen, while interleukin-4 (IL-4) increased in treatment success under the EFV regimen. Proinflammatory tumor necrosis factor-alpha (TNF-α), IL-6, and IL-7 significantly increased in therapeutic failure groups under both regimens. IL-5 concentrations increased in all PLHIV-1, while IL-13 levels did not change. Logistic regression analysis revealed a positive correlation between the risk of treatment failure and proinflammatory cytokines IFN-γ, TNF-α, IL-6, IL-7, eosinophils, and CD8+ T cells in PLHIV-1 under EFV and DTG regimes. In contrast, the risk of therapeutic failure decreased with increasing numbers of CD4+ T cells, neutrophils, and the anti-inflammatory IL-4 in PLHIV-1 treated with the same antiretroviral molecules. Collectively, these results indicated that pro- and anti-inflammatory cytokines and immune cells could serve as prognostic factors for monitoring HIV-1 disease progression and response to ART. However, further studies with a larger sample size would be needed to confirm our data.

Indexed as

Benincytokinesdolutegravirefavirenzimmunes cellsPLHIV-1therapeutic risk factors

Identifiers

PMID42670455
PMCPMC13526243

What OpenQuestion holds

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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.