Evidence map›Paper›PMID 41792406›Full record

ArticleScientific reports2026

Preliminary insights into gut microbiome shifts as screening proxy for MASLD disease progression.

M Llirós Dupré, M Buxó, S Virolés, M Pujolassos, I Serra, J Martínez, A Lluansí, A Bahí, M Calle, X Aldeguer

Abstract read
In one paragraph

Article in Scientific reports, 2026. 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
–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

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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

10 authors.

M Llirós DupréDigestive diseases and microbiota, Girona Biomedical Research Institute (IDIBGI-CERCA), Salt, Catalunya, Spain. marc.lliros@uvic.cat.
M BuxóStatistical Unit, Girona Biomedical Research Institute (IDIBGI-CERCA), Parc Hospitalari Martí i Julià, Edifici M2, Salt, Catalunya, Spain.
S VirolésDigestive diseases and microbiota, Girona Biomedical Research Institute (IDIBGI-CERCA), Salt, Catalunya, Spain.
M PujolassosBioinformatics and Bioimaging (BI-SQUARED) research group, Biosciences department, Faculty of Science, Technology and Engineering, Universitat de Vic - Universitat Central de Catalunya, Vic, Catalunya, Spain.
I SerraDigestive diseases and microbiota, Girona Biomedical Research Institute (IDIBGI-CERCA), Salt, Catalunya, Spain.
J MartínezStatistical Unit, Girona Biomedical Research Institute (IDIBGI-CERCA), Parc Hospitalari Martí i Julià, Edifici M2, Salt, Catalunya, Spain.
A LluansíDigestive diseases and microbiota, Girona Biomedical Research Institute (IDIBGI-CERCA), Salt, Catalunya, Spain.
A BahíDigestive diseases and microbiota, Girona Biomedical Research Institute (IDIBGI-CERCA), Salt, Catalunya, Spain.
M CalleBioinformatics and Bioimaging (BI-SQUARED) research group, Biosciences department, Faculty of Science, Technology and Engineering, Universitat de Vic - Universitat Central de Catalunya, Vic, Catalunya, Spain.
X AldeguerDigestive diseases and microbiota, Girona Biomedical Research Institute (IDIBGI-CERCA), Salt, Catalunya, Spain. xladeguer@idibgi.org.

Funding

Joan Bruguera Fund Girona Townhall, 2017Societat Catalana de Digestologia 2015 Research Initiation Grant #3
6 · The paper itself

Abstract

Metabolic Dysfunction-Associated Steatotic Liver Disease (MASLD), a metabolic syndrome with chronic excessive non-alcohol related triglyceride accumulation in liver cells, is characterised by a gradient of hepatic inflammation and fibrosis which lead to hepatocellular carcinoma. Clinical diagnosis is commonly based on non-invasive imaging methods, but definitive and conclusive diagnostic is achieved throughout invasive liver biopsy. Recent research pointed to an association between unbalanced gut microbiome and MASLD pathogenesis. In this prospective pilot study we dissect the gradual disease phenotypes as per common clinical practices and gut microbiome profiling based on 16 S rRNA gene sequencing of stool samples from a set of 8 healthy and 46 MASLD-diagnosed individuals. Results evidenced gut microbiome shifts (both a reduction of microbial diversity and richness) as liver damage severity increases with respect to control subjects. Additionally, microbiome compositional data balancing revealed a slight discriminatory capacity between controls and patients’ groups or between patients groups, but with low power due to the reduced sample size. All in all, non-invasive proxies based on gut microbiome analyses might be useful as complementary tools for MASLD patients stratification and discrimination.

Indexed as

Gastrointestinal MicrobiomeNon-alcoholic Fatty Liver DiseaseAdultAgedDisease ProgressionFecesFemaleHumansMaleMiddle AgedPilot ProjectsProspective StudiesRNA, Ribosomal, 16SRNA, Ribosomal, 16SCompositional data.DiversityDysbiosisMASLDMicrobial balancesMicrobiome

Identifiers

PMID41792406
PMCPMC13111639

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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.