Evidence map›Paper›PMID 37810880›Full record

ArticleFrontiers in endocrinology2023

Lack of associations of microRNAs with severe NAFLD in people living with HIV: discovery case-control study.

Mario Frías, Diana Corona-Mata, Jose M Moyano, Angela Camacho-Espejo, Pedro López-López, Javier Caballero-Gómez, Inmaculada Ruiz-Cáceres, María Casares-Jiménez, Ignacio Pérez-Valero, Antonio Rivero-Juárez and 1 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in endocrinology, 2023. 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
0.2field-weighted citation impact, top 41% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

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

11 authors at 3 institutions in 1 country.

Mario FríasUnit of Infectious Diseases, Hospital Universitario Reina Sofia, Clinical Virology and Zoonoses, Maimonides Biomedical Research Institute of Cordoba, University of Córdoba, Córdoba, Spain.
Diana Corona-MataUnit of Infectious Diseases, Hospital Universitario Reina Sofia, Clinical Virology and Zoonoses, Maimonides Biomedical Research Institute of Cordoba, University of Córdoba, Córdoba, Spain.
Jose M MoyanoDepartment of Computer Science and Artificial Intelligence, Andalusian Research Institute in Data Science and Computational Intelligence (DaSCI), University of Granada, Granada, Spain.
Angela Camacho-EspejoUnit of Infectious Diseases, Hospital Universitario Reina Sofia, Clinical Virology and Zoonoses, Maimonides Biomedical Research Institute of Cordoba, University of Córdoba, Córdoba, Spain.
Pedro López-LópezUnit of Infectious Diseases, Hospital Universitario Reina Sofia, Clinical Virology and Zoonoses, Maimonides Biomedical Research Institute of Cordoba, University of Córdoba, Córdoba, Spain.
Javier Caballero-GómezUnit of Infectious Diseases, Hospital Universitario Reina Sofia, Clinical Virology and Zoonoses, Maimonides Biomedical Research Institute of Cordoba, University of Córdoba, Córdoba, Spain.
Inmaculada Ruiz-CáceresUnit of Infectious Diseases, Hospital Universitario Reina Sofia, Clinical Virology and Zoonoses, Maimonides Biomedical Research Institute of Cordoba, University of Córdoba, Córdoba, Spain.
María Casares-JiménezUnit of Infectious Diseases, Hospital Universitario Reina Sofia, Clinical Virology and Zoonoses, Maimonides Biomedical Research Institute of Cordoba, University of Córdoba, Córdoba, Spain.
Ignacio Pérez-ValeroUnit of Infectious Diseases, Hospital Universitario Reina Sofia, Clinical Virology and Zoonoses, Maimonides Biomedical Research Institute of Cordoba, University of Córdoba, Córdoba, Spain.
Antonio Rivero-JuárezUnit of Infectious Diseases, Hospital Universitario Reina Sofia, Clinical Virology and Zoonoses, Maimonides Biomedical Research Institute of Cordoba, University of Córdoba, Córdoba, Spain.
Antonio RiveroUnit of Infectious Diseases, Hospital Universitario Reina Sofia, Clinical Virology and Zoonoses, Maimonides Biomedical Research Institute of Cordoba, University of Córdoba, Córdoba, Spain.
Instituto de Salud Carlos III · ESHospital Universitario Reina Sofía · ESUniversidad de Granada · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background & objective: Nonalcoholic fatty liver disease (NAFLD) is highly prevalent in people living with HIV (PLWH) and the expression of some microRNAs could be useful as biomarkers for the diagnosis of NAFLD. The aim of this study was to identify patterns of differential expression of microRNAs in PLWH and assess their diagnostic value for NALFD. Methods: A discovery case-control study with PLWH was carried out. The expression of miRNAs was determined using HTG EdgeSeq technology. Cases were defined as patients with severe NAFLD and controls as patients without NAFLD, characterized using the controlled attenuation parameter (CAP). Cases and controls were matched 1:1 for age, sex, BMI, CD4+ lymphocyte count, active HCV infection, and ART regimen. Results: Serum 2,083 simultaneous microRNA transcripts were analyzed using HTG technology and compared between cases and controls. Forty-five patients, 23 cases, and 22 controls were included in the study. In the analysis of the expression pattern of the 2,083 microRNAs, no differential expression patterns were found between both groups of patients included in the study. Conclusion: Analysis of the microRNA transcriptome profile of nonobese PLWH with severe NAFLD did not appear to differ from that of patients without NAFLD. Thus, microRNA might not serve as a proper biomarker for predicting severe NALFD in this population.

Indexed as

HIV InfectionsMicroRNAsNon-alcoholic Fatty Liver DiseaseBiomarkersCase-Control StudiesHIVHumansBiomarkersMicroRNAsCAPHIVmicroRNANAFLDPLWHsteatosis

Identifiers

PMID37810880
PMCPMC10556652
OpenAlexW4386959869

What OpenQuestion holds

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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.