Evidence map›Paper›PMID 37704856›Full record

ArticleJournal of molecular medicine (Berlin, Germany)2023

MicroRNA signature from extracellular vesicles of HCV/HIV co-infected individuals differs from HCV mono-infected.

Victoria Cairoli, Daniel Valle-Millares, María C Terrón-Orellano, Daniel Luque, Pablo Ryan, Lourdes Dominguez, Luz Martín-Carbonero, Ignacio De Los Santos, Elena De Matteo, Beatriz Ameigeiras and 5 more

Open access · hybridAbstract read
In one paragraph

Article in Journal of molecular medicine (Berlin, Germany), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.9field-weighted citation impact, top 24% 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

7 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Review
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

15 authors at 6 institutions in 2 countries.

Victoria CairoliMultidisciplinary Institute for Investigation in Pediatric Pathologies (IMIPP), CONICET-GCBA, Laboratory of Molecular Biology, Pathology Division, Ricardo Gutiérrez Children's Hospital, C1425EFD CABA, Buenos Aires, Argentina.
Daniel Valle-MillaresUnit of Viral Infection and Immunity, Centro Nacional de Mirobiología, Instituto de Salud Carlos III (ISCIII), 28222, Majadahonda, Madrid, Spain.
María C Terrón-OrellanoUnit of Electron Microscopy Scientific and Technical Central Units (UCCT), Health Institute Carlos III (ISCIII), 28222, Majadahonda, Madrid, Spain.
Daniel LuqueUnit of Electron Microscopy Scientific and Technical Central Units (UCCT), Health Institute Carlos III (ISCIII), 28222, Majadahonda, Madrid, Spain.
Pablo RyanInfectious Diseases Department, Internal Medicine Department HIV/Hepatitis, Infanta Leonor University Hospital, 28031, Madrid, Spain.
Lourdes DominguezHIV Unit, Internal Medicine Department, Research Institute of the Hospital, 12 de Octubre (imas12), 28041, Madrid, Spain.
Luz Martín-CarboneroCentro de Investigación Biomédica en Red de Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III, 28222, Madrid, Spain.
Ignacio De Los SantosCentro de Investigación Biomédica en Red de Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III, 28222, Madrid, Spain.
Elena De MatteoMultidisciplinary Institute for Investigation in Pediatric Pathologies (IMIPP), CONICET-GCBA, Laboratory of Molecular Biology, Pathology Division, Ricardo Gutiérrez Children's Hospital, C1425EFD CABA, Buenos Aires, Argentina.
Beatriz AmeigeirasLiver Unit, Ramos Mejía Hospital, C1221ADC CABA, Buenos Aires, Argentina.
Verónica BrizViral Hepatitis Reference and Research Laboratory, Centro Nacional de Microbiología, Instituto de Salud Carlos III, 28222, Majadahonda, Madrid, Spain.
Paola CasciatoLiver Unit, Italian's Hospital of Buenos Aires, C1199 CABA, Buenos Aires, Argentina.
María Victoria PreciadoMultidisciplinary Institute for Investigation in Pediatric Pathologies (IMIPP), CONICET-GCBA, Laboratory of Molecular Biology, Pathology Division, Ricardo Gutiérrez Children's Hospital, C1425EFD CABA, Buenos Aires, Argentina.
Pamela ValvaMultidisciplinary Institute for Investigation in Pediatric Pathologies (IMIPP), CONICET-GCBA, Laboratory of Molecular Biology, Pathology Division, Ricardo Gutiérrez Children's Hospital, C1425EFD CABA, Buenos Aires, Argentina.
Amanda Fernández-RodríguezUnit of Viral Infection and Immunity, Centro Nacional de Mirobiología, Instituto de Salud Carlos III (ISCIII), 28222, Majadahonda, Madrid, Spain. amandafr@isciii.es.ORCID 0000-0002-5110-2213
Instituto de Salud Carlos III · ESConsejo Nacional de Investigaciones Científicas y Técnicas · ARHospital Italiano de Buenos Aires · ARHospital Ramos Mejía · ARHospital Universitario La Paz · ESResearch Institute Hospital 12 de Octubre · ES

Funding

Agencia Nacional de Promoción Científica y Tecnológica PICT 2017 Nº713Asociación Universitaria Iberoamericana de Postgrado Beca de Movilidad entre instituciones asociadas a la AUIP Octubre 2020Centro de Investigación en Red en Enfermedades Infecciosas CB21/13/00044Consejo Nacional de Investigaciones Científicas y Técnicas PIP 2021-2023Instituto de Salud Carlos III PI18CIII/00020/Ministerio de Ciencia e Innovación PID2021-126781OB-I00SPANISH AIDS Research Network RD16CIII/0002/0002 - ISCIII - FEDER
6 · The paper itself

Abstract

Hepatitis C virus (HCV) coinfection with human immunodeficiency virus (HIV) has a detrimental impact on disease progression. Increasing evidence points to extracellular vesicles (EVs) as important players of the host-viral cross-talk. The microRNAs (miRNAs), as essential components of EVs cargo, are key regulators of normal cellular processes and also promote viral replication, viral pathogenesis, and disease progression. We aimed to characterize the plasma-derived EVs miRNA signature of chronic HCV infected and HIV coinfected patients to unravel the molecular mechanisms of coinfection. EVs were purified and characterized from 50 plasma samples (21 HCV mono- and 29 HCV/HIV co-infected). EV-derived small RNAs were isolated and analyzed by massive sequencing. Known and de novo miRNAs were identified with miRDeep2. Significant differentially expressed (SDE) miRNA identification was performed with generalized linear models and their putative dysregulated biological pathways were evaluated. Study groups were similar for most clinical and epidemiological characteristics. No differences were observed in EVs size or concentration between groups. Therefore, HCV/HIV co-infection condition did not affect the concentration or size of EVs but produced a disturbance in plasma-derived EVs miRNA cargo. Thus, a total of 149 miRNAs were identified (143 known and 6 de novo) leading to 37 SDE miRNAs of which 15 were upregulated and 22 downregulated in HCV/HIV co-infected patients. SDE miRNAs regulate genes involved in inflammation, fibrosis, and cancer, modulating different biological pathways related to HCV and HIV pathogenesis. These findings may help to develop new generation biomarkers and treatment strategies, in addition to elucidate the mechanisms underlying virus-host interaction. KEY MESSAGES: HCV and HCV/HIV displayed similar plasma-EV size and concentration. EVs- derived miRNA profile was characterized by NGS. 37 SDE miRNAs between HCV and HCV/HIV were observed. SDE miRNAs regulate genes involved in inflammation, fibrosis and cancer.

Indexed as

CoinfectionExtracellular VesiclesHepatitis CHIV InfectionsMicroRNAsNeoplasmsDisease ProgressionFibrosisHepacivirusHIVHumansInflammationMicroRNAsChronic hepatitis C infectionExtracellular vesiclesHCV/HIV coinfectionLiver diseasesmiRNAsPathogenesis

Identifiers

PMID37704856
PMCPMC10663177
OpenAlexW4386697646

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.