Evidence map›Paper›PMID 37077524›Full record

ArticleFrontiers in cellular and infection microbiology2023

Gene dysregulation in acute HIV-1 infection - early transcriptomic analysis reveals the crucial biological functions affected.

Erica Parker, Melinda A Judge, Lucia Pastor, Laura Fuente-Soro, Chenjerai Jairoce, Kim W Carter, Denise Anderson, Inácio Mandomando, Holly D Clifford, Denise Naniche and 1 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in cellular and infection microbiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.0field-weighted citation impact, top 14% of its field
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

8 citing papers in PubMed, 14 citations in OpenAlex.

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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

11 authors at 5 institutions in 3 countries.

Erica ParkerSchool of Medicine, University of Western Australia, Crawley, WA, Australia.
Melinda A JudgeSchool of Medicine, University of Western Australia, Crawley, WA, Australia.
Lucia PastorISGlobal, Barcelona Institute for Global Health, Hospital Clinic-Universitat de Barcelona, Barcelona, Spain.
Laura Fuente-SoroISGlobal, Barcelona Institute for Global Health, Hospital Clinic-Universitat de Barcelona, Barcelona, Spain.
Chenjerai JairoceCentro de Investigação em Saúde da Manhiça (CISM), Maputo, Mozambique.
Kim W CarterTelethon Kids Institute, Perth, WA, Australia.
Denise AndersonTelethon Kids Institute, Perth, WA, Australia.
Inácio MandomandoCentro de Investigação em Saúde da Manhiça (CISM), Maputo, Mozambique.
Holly D CliffordTelethon Kids Institute, Perth, WA, Australia.
Denise NanicheISGlobal, Barcelona Institute for Global Health, Hospital Clinic-Universitat de Barcelona, Barcelona, Spain.
Peter Neils Le SouëfSchool of Medicine, University of Western Australia, Crawley, WA, Australia.
The Kids Research Institute Australia · AUManhiça Health Research Centre · MZUniversity of Western Australia · AUIrsiCaixa · ESUniversitat de Barcelona · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Transcriptomic analyses from early human immunodeficiency virus (HIV) infection have the potential to reveal how HIV causes widespread and lasting damage to biological functions, especially in the immune system. Previous studies have been limited by difficulties in obtaining early specimens. Methods: A hospital symptom-based screening approach was applied in a rural Mozambican setting to enrol patients with suspected acute HIV infection (Fiebig stage I-IV). Blood samples were collected from all those recruited, so that acute cases and contemporaneously recruited, uninfected controls were included. PBMC were isolated and sequenced using RNA-seq. Sample cellular composition was estimated from gene expression data. Differential gene expression analysis was completed, and correlations were determined between viral load and differential gene expression. Biological implications were examined using Cytoscape, gene set enrichment analysis, and enrichment mapping. Results: Twenty-nine HIV infected subjects one month from presentation and 46 uninfected controls were included in this study. Subjects with acute HIV infection demonstrated profound gene dysregulation, with 6131 (almost 13% of the genome mapped in this study) significantly differentially expressed. Viral load was correlated with 1.6% of dysregulated genes, in particular, highly upregulated genes involved in key cell cycle functions, were correlated with viremia. The most profoundly upregulated biological functions related to cell cycle regulation, in particular, CDCA7 may drive aberrant cell division, promoted by overexpressed E2F family proteins. Also upregulated were DNA repair and replication, microtubule and spindle organization, and immune activation and response. The interferome of acute HIV was characterized by broad activation of interferon-stimulated genes with antiviral functions, most notably IFI27 and OTOF. BCL2 downregulation alongside upregulation of several apoptotic trigger genes and downstream effectors may contribute to cycle arrest and apoptosis. Transmembrane protein 155 (TMEM155) was consistently highly overexpressed during acute infection, with roles hitherto unknown. Discussion: Our study contributes to a better understanding of the mechanisms of early HIV-induced immune damage. These findings have the potential to lead to new earlier interventions that improve outcomes.

Indexed as

HIV-1HIV InfectionsGene Expression ProfilingHumansLeukocytes, MononuclearNuclear ProteinsTranscriptomeCDCA7 protein, humanNuclear Proteinsacute HIV infectiongene expression profilingHIVhost microbial interactionsinnate immunityMozambiquesub-Sahara Africa (SSA)

Identifiers

PMID37077524
PMCPMC10106835
OpenAlexW4362584877

What OpenQuestion holds

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LicenceCC BY
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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.