Evidence map›Paper›PMID 42599937›Full record

ArticlePloS one2026

Prediction of potential biomarkers and therapeutic targets in HIV viremic patients using immune-related circRNA-miRNA-mRNA regulatory networks.

Negin Faraji, Leila Rouhi, Azam Bolhassani, Behnam Hasannejad-Asl, Kazem Baesi, Ladan Abbasian

Abstract read
In one paragraph

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

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0citing papers in PubMed
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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

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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

6 authors.

Negin FarajiDepartment of Biology, ShK.C., Islamic Azad University, Shahrekord, Iran.
Leila RouhiDepartment of Biology, ShK.C., Islamic Azad University, Shahrekord, Iran.
Azam BolhassaniDepartment of Hepatitis, AIDS and Blood-borne Diseases, Pasteur Institute of Iran, Tehran, Iran.ORCID https://orcid.org/0000-0001-7363-7406
Behnam Hasannejad-AslResearch Committee, Department of Medical Biotechnology, School of Advanced Technologies in Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Kazem BaesiDepartment of Hepatitis, AIDS and Blood-borne Diseases, Pasteur Institute of Iran, Tehran, Iran.
Ladan AbbasianIranian Research Center for HIV/AIDS, Iranian Institute for Reduction of High-risk Behaviors, Department of Infectious Diseases, Imam khomeini Hospital Complex, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The recent study aims to analyze the role of non-coding RNAs, particularly circRNAs, in HIV pathogenesis using construction of immune-related regulatory networks. In compliance with ethical standards and institutional guidelines, publicly available HIV-related mRNA and microRNA expression datasets were systematically retrieved from the Gene Expression Omnibus repository. These datasets underwent rigorous bioinformatics analysis employing the "limma" package in R to identify differentially expressed genes (DEGs) and microRNAs (DEmiRNAs). Validated interaction data from miRBase and ENCORI databases facilitated the construction of circRNA-DEmiRNA and DEmiRNA-DEG regulatory networks. Protein-protein interaction networks were generated through STRING database analysis, with hub genes defined as those within the highest 5% of interaction degrees. Furthermore, single-cell RNA sequencing (scRNA-seq) datasets from HIV-infected individuals were analyzed using the "Seurat" package to identify DEGs in CD4+ and CD8+ T cell subsets. Cross-validation between microarray and scRNA-seq data ensured robustness of identified hub genes. Our results revealed substantial alterations in RNA expression associated with both high viral load and low viral load HIV infections. Single-cell analyses indicated significant gene expression shifts in T cell populations: 194 upregulated and 813 downregulated genes in CD4+ T cells, and 244 upregulated and 567 downregulated genes in CD8+ T cells. Integrated analysis delineated five hub genes consistently dysregulated across T cell subsets. STAT1 and DDX39B were upregulated, whereas CXCL8, CXCL12, and PTGS2 were downregulated. The pathway enrichment analysis indicated that these genes are implicated in key regulatory pathways relevant to infectious disease mechanisms. Alongside of DEGs, our studies indicated that multiple miRNAs, such as hsa-miR-21-5p, hsa-miR-146a-5p and hsa-let-7b-5p are differentially expressed in HIV-infected samples in comparison to the normal samples. Afterward, DEmiRNA-DEGs network studies demonstrated different axes between significantly up- and down-regulated DEGs with down- and up-regulated miRNAs, respectively. Following, ceRNA regulatory network revealed circRNAs, which can interact with DEmiRNA-DEGs networks, like hsa_circ_0089761-hsa-miR-21-5p-CXCL12, hsa_circ_0003812-hsa-miR-146a-5p-PTGS2, and has_circ_0007185-has_let-7b-5p-DDX39B. Overall, this integrative analysis suggests potential circRNA-mediated regulatory mechanisms in HIV infection and highlights potential candidate circRNAs that may serve as biomarkers or therapeutic targets for further investigation.

Indexed as

Gene Regulatory NetworksHIV InfectionsMicroRNAsRNA, CircularRNA, MessengerBiomarkersCD4-Positive T-LymphocytesComputational BiologyGene Expression ProfilingGene Expression RegulationHumansProtein Interaction MapsViral LoadBiomarkersMicroRNAsRNA, CircularRNA, Messenger

Identifiers

PMID42599937
PMCPMC13475908

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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.