Evidence map›Paper›PMID 41402920›Full record

ArticleGut pathogens2025

Gut microbiota and host transcriptome interactions reveal diagnostic biomarkers in MASLD-associated hepatocellular carcinoma.

Thananya Jinato, Jakkrit Khamjerm, Satjapot Manprasong, Nutta Iadsee, Pisit Tangkijvanich, Intawat Nookaew, Natthaya Chuaypen

Abstract read
In one paragraph

Article in Gut pathogens, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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

1 citing paper in PubMed.

  1. 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

7 authors.

Thananya JinatoCenter of Excellence in Hepatitis and Liver Cancer, Department of Biochemistry, Faculty of Medicine, Chulalongkorn University, Bangkok, 10330, Thailand.
Jakkrit KhamjermCenter of Excellence in Hepatitis and Liver Cancer, Department of Biochemistry, Faculty of Medicine, Chulalongkorn University, Bangkok, 10330, Thailand.
Satjapot ManprasongDoctor of Philosophy Program in Medical Biochemistry, Department of Biochemistry, Faculty of Medicine, Chulalongkorn University, Bangkok, 10330, Thailand.
Nutta IadseeDoctor of Philosophy Program in Medical Biochemistry, Department of Biochemistry, Faculty of Medicine, Chulalongkorn University, Bangkok, 10330, Thailand.
Pisit TangkijvanichCenter of Excellence in Hepatitis and Liver Cancer, Department of Biochemistry, Faculty of Medicine, Chulalongkorn University, Bangkok, 10330, Thailand.
Intawat NookaewDepartment of Biomedical Informatics, University of Arkansas for Medical Sciences, 4301 W Markham St, Little Rock, AR, 72205, USA.
Natthaya ChuaypenCenter of Excellence in Hepatitis and Liver Cancer, Department of Biochemistry, Faculty of Medicine, Chulalongkorn University, Bangkok, 10330, Thailand. natthaya.c@chula.ac.th.

Funding

Understanding the Negative Prognostic Impact of Intraosseous Focal Lesions in Multiple MyelomaP20GM125503 · NIGMS · UNIV OF ARKANSAS FOR MED SCIS · PI CHARLES A O'BRIEN · 2018 to 2026
$23.0M
Fundamental Fund 2024 FF67NIGMS NIH HHS P20 GM125503NIH HHS P20GM125503Ratchadapiseksompotch Fund, Faculty of Medicine Chulalongkorn University RA65/039Thailand Science research and Innovation Fund Chulalongkorn University HEAF67300060the NSRF via the Program Management Unit for Human Resources & Institutional Development, Research and Innovation PMU-B-B36G660004
6 · The paper itself

Abstract

backgroundAlterations in the gut microbiome via the gut-liver axis are closely linked to metabolic dysfunction-associated steatotic liver disease (MASLD) and may contribute to hepatocellular carcinoma (HCC) development. However, the interplay between the gut microbiome and host gene expression in MASLD and HCC remains poorly understood.

methodsWe analyzed the gut microbiome from fecal samples and host transcriptomic profiles from peripheral blood mononuclear cells (PBMCs) in healthy controls and MASLD patients without HCC (mild fibrosis F01 and significant fibrosis F234) and with HCC.

resultsIntegrated analysis identified 260 differentially expressed genes (DEGs) and 29 bacterial taxa differentiating MASLD without HCC from MASLD-HCC. Subgroup analysis revealed seven bacterial genera associated with 84 host genes. Notably, Veillonella correlated with regulating synaptic membrane exocytosis 3 (RIMS3), collagen type X alpha 1 (COL10A1), and enabled homolog (ENAH). Real-time PCR validation confirmed COL10A1 as a significant diagnostic biomarker for distinguishing MASLD from MASLD-HCC (AUC = 0.835). Combining COL10A1, and AFP, or Veillonella with AFP, significantly improved differentiation between MASLD and MASLD-HCC, particularly in early-stage fibrosis (F01) (AUC = 0.941 and 0.996, respectively).

conclusionsGut microbiome-host gene interactions appear to play a significant role in MASLD-related HCC progression. Specific bacterial genera and host gene expression profiles may serve as early diagnostic markers for MASLD-HCC.

Indexed as

Gut microbiotaHCCHost genesMASLDMASLD-HCCTranscriptomic profile

Identifiers

PMID41402920
PMCPMC12723900

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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.