Evidence map›Paper›PMID 40943094›Full record

ArticleInternational journal of molecular sciences2025

Distinct Gut Microbiota Signatures Are Associated with Severity of Metabolic Dysfunction-Associated Steatotic Liver Disease in People with HIV.

Riccardo Righetti, Felice Cinque, Bertrand Lebouché, Luz Ramos Ballesteros, Jean-Pierre Routy, Marina B Klein, Jason Szabo, Joseph Cox, Julian Falutz, Louis-Patrick Haraoui and 6 more

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. 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

16 authors.

Riccardo RighettiChronic Viral Illness Service, Department of Medicine, McGill University Health Centre, Montreal, QC H4A 3J1, Canada.
Felice CinqueChronic Viral Illness Service, Department of Medicine, McGill University Health Centre, Montreal, QC H4A 3J1, Canada.
Bertrand LebouchéChronic Viral Illness Service, Department of Medicine, McGill University Health Centre, Montreal, QC H4A 3J1, Canada.ORCID 0000-0002-1273-9393
Luz Ramos BallesterosChronic Viral Illness Service, Department of Medicine, McGill University Health Centre, Montreal, QC H4A 3J1, Canada.
Jean-Pierre RoutyChronic Viral Illness Service, Department of Medicine, McGill University Health Centre, Montreal, QC H4A 3J1, Canada.ORCID 0000-0001-9897-7589
Marina B KleinChronic Viral Illness Service, Department of Medicine, McGill University Health Centre, Montreal, QC H4A 3J1, Canada.
Jason SzaboChronic Viral Illness Service, Department of Medicine, McGill University Health Centre, Montreal, QC H4A 3J1, Canada.
Joseph CoxChronic Viral Illness Service, Department of Medicine, McGill University Health Centre, Montreal, QC H4A 3J1, Canada.
Julian FalutzChronic Viral Illness Service, Department of Medicine, McGill University Health Centre, Montreal, QC H4A 3J1, Canada.
Louis-Patrick HaraouiDepartment of Microbiology and Infectious Diseases, Université de Sherbrooke, Sherbrooke, QC J1K 2R1, Canada.ORCID 0000-0002-3713-7866
Cecilia T CostiniukChronic Viral Illness Service, Department of Medicine, McGill University Health Centre, Montreal, QC H4A 3J1, Canada.ORCID 0000-0002-4547-714X
Alexandra De PokomandyChronic Viral Illness Service, Department of Medicine, McGill University Health Centre, Montreal, QC H4A 3J1, Canada.
Thomas PembrokeSchool of Medicine, Cardiff University, Cardiff CF14 4EP, UK.
Marco ConstanteDepartment of Medicine, McMaster University, Hamilton, ON L8S 4L8, Canada.ORCID 0000-0002-7448-5552
Manuela SantosDepartment of Medicine, Université de Montréal, Montreal, QC H3C 3J7, Canada.ORCID 0000-0003-3497-0585
Giada SebastianiChronic Viral Illness Service, Department of Medicine, McGill University Health Centre, Montreal, QC H4A 3J1, Canada.ORCID 0000-0003-2655-8283

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The progression of metabolic dysfunction-associated steatotic liver disease (MASLD) to severe forms, including metabolic dysfunction-associated steatohepatitis (MASH) and liver fibrosis, involves metabolic dysfunction, genetics, and gut dysbiosis. People with HIV (PWH) represent a high-risk group for MASLD, but the role of gut microbiota alterations in disease severity within this population remains poorly understood. We prospectively recruited PWH with MASLD, defined as the controlled attenuation parameter (CAP) ≥ 238 dB/m, and excluded those with viral hepatitis coinfection or alcohol abuse. Severe MASLD was defined as the presence of MASH (cytokeratin-18 ≥ 130.5 U/L) and/or significant liver fibrosis (liver stiffness ≥ 7.1 kPa). Stool samples were collected for 16S rRNA gene sequencing to characterize gut microbiota composition. Functional predictions were generated using PICRUSt. The differential abundance of bacterial taxa and predicted functions were analyzed using a generalized linear model with a negative binomial distribution. Among 34 PWH with MASLD, 18 (53%) met the criteria for severe MASLD. Microbiota profiling revealed significant differences in bacterial genera between the PWH with and without severe MASLD. Enrichment was observed in the

Indexed as

Fatty LiverGastrointestinal MicrobiomeHIV InfectionsAdultBacteriaDysbiosisFecesFemaleHumansMaleMiddle AgedProspective StudiesRNA, Ribosomal, 16SSeverity of Illness IndexRNA, Ribosomal, 16Scytokeratin-18liver fibrosisliver stiffness measurementmetabolic dysfunction-associated steatohepatitismicrobiome

Identifiers

PMID40943094
PMCPMC12428781

What OpenQuestion holds

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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.