Evidence map›Paper›PMID 42853340›Full record

ArticleImmunologic research2026

Upregulation of cellular exhaustion-related genes and CD4 + T cell disturbances in immunological non-responders on antiretroviral therapy.

Henrique Fernando Lopes-Araujo, Wlisses Henrique Veloso Carvalho-Silva, José Leandro Andrade-Santos, Maria Carolina Santos Guedes, Fabrício Oliveira Souto, Luiz Cláudio Arraes De Alencar, Igor de Farias Domingos, Paulo Sérgio Ramos de Araújo, Kleyverson Feliciano-Santos, Rafael Lima Guimarães

Abstract read
In one paragraph

Article in Immunologic research, 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

10 authors.

Henrique Fernando Lopes-AraujoDepartment of Genetics, Federal University of Pernambuco - UFPE, Av. Prof. Moraes Rego, 1235, Cidade Universitária, Recife, Pernambuco, 50670-901, Brazil. henrique.laraujo@ufpe.br.ORCID http://orcid.org/0009-0000-1162-5426
Wlisses Henrique Veloso Carvalho-SilvaDepartment of Immunology, Aggeu Magalhães Institute (IAM) - Oswaldo Cruz Foundation (FIOCRUZ), Recife, Pernambuco, 50740-465, Brazil.
José Leandro Andrade-SantosKeizo Asami Institute (iLIKA), Federal University of Pernambuco - UFPE, Recife, Pernambuco, 50670-901, Brazil.
Maria Carolina Santos GuedesDepartment of Genetics, Federal University of Pernambuco - UFPE, Av. Prof. Moraes Rego, 1235, Cidade Universitária, Recife, Pernambuco, 50670-901, Brazil.
Fabrício Oliveira SoutoKeizo Asami Institute (iLIKA), Federal University of Pernambuco - UFPE, Recife, Pernambuco, 50670-901, Brazil.
Luiz Cláudio Arraes De AlencarKeizo Asami Institute (iLIKA), Federal University of Pernambuco - UFPE, Recife, Pernambuco, 50670-901, Brazil.
Igor de Farias DomingosHospital Correia Picanço (HCP), Recife, Pernambuco, 52050-150, Brazil.
Paulo Sérgio Ramos de AraújoHospital das Clínicas (HC-UFPE), Federal University of Pernambuco - UFPE, Recife, Pernambuco, 50670- 901, Brazil.
Kleyverson Feliciano-SantosDepartment of Genetics, Federal University of Pernambuco - UFPE, Av. Prof. Moraes Rego, 1235, Cidade Universitária, Recife, Pernambuco, 50670-901, Brazil.
Rafael Lima GuimarãesDepartment of Genetics, Federal University of Pernambuco - UFPE, Av. Prof. Moraes Rego, 1235, Cidade Universitária, Recife, Pernambuco, 50670-901, Brazil.

Funding

Conselho Nacional de Desenvolvimento Científico e Tecnológico 403462/2023-1Coordenação de Aperfeiçoamento de Pessoal de Nível Superior Finance Code 00Fundação de Amparo à Ciência e Tecnologia do Estado de Pernambuco APQ-0599-2.02/14Universidade Federal de Pernambuco PROPG
6 · The paper itself

Abstract

Antiretroviral therapy suppresses HIV replication, but 10-40% of people living with HIV do not reconstitute CD4 + T cell counts despite viral suppression. Cellular exhaustion and alteration in the frequency of CD4 + T cell subsets are mechanisms involved in immunological nonresponse. This study investigated cellular exhaustion through gene expression and frequencies of CD4 + T cell subpopulations through flow cytometry in 36 male individuals living with HIV (28 immunological responders and 8 immunological non-responders) after 18 months of treatment. Gene expression analysis revealed significantly upregulation of PDCD1 (fold change = 1.81; p = 0.0003) and TIGIT (fold change = 1.80; p = 0.0055) in immunological non-responders compared to immunological responders, with ROC curve analysis confirming discriminatory ability. Flow cytometry demonstrated lower frequencies of recent thymic emigrant (19.42 ± 7.76 vs. 32.29 ± 10.68; p = 0.0285) and naive CD4 + T cells (26.10 ± 9.41 vs. 47.65 ± 13.45; p = 0.0194) in immunological non-responders compared to immunological responders. Moreover, we observed higher frequency of central memory CD4 + T cells (47.94 ± 13.42 vs. 32.58 ± 9.89; p = 0.0184), with excellent discriminatory capacity. TIGIT expression inversely correlated with recent thymic emigrant (r = -0.7284; p = 0.0013) and naive CD4 + T cells (r = -0.7394; p = 0.0010), and directly with central memory CD4 + T cells (r = 0.7264; p = 0.0014). These findings emphasize cellular exhaustion and dysregulated CD4 + T cell subsets as critical factors of immunological nonresponse.

Indexed as

CD4-Positive T-LymphocytesHIV-1HIV InfectionsAdultCD4 Lymphocyte CountHumansMaleMiddle AgedProgrammed Cell Death 1 ReceptorReceptors, ImmunologicT-Cell ExhaustionUp-RegulationPDCD1 protein, humanProgrammed Cell Death 1 ReceptorReceptors, ImmunologicTIGIT protein, humanAIDSHAVCR2HIVPDCD1TIGIT

Identifiers

PMID42853340
PMCPMC13652942

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.