Evidence map›Paper›PMID 40319096›Full record

ArticleScientific reports2025

Characterization of gut dysbiosis and intestinal barrier dysfunction in patients with metabolic dysfunction-associated steatotic liver disease and chronic kidney disease: a comparative study.

Thasinas Dissayabutra, Natthaya Chuaypen, Pornjira Somnark, Bootsakorn Boonkaew, Suwasin Udomkarnjananun, Piyawan Kittiskulnam, Pimpisa Charoenchittang, Pinidphon Prombutara, Pisit Tangkijvanich

Abstract readComparative Study
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Trial
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  4. Article
  5. Review
  6. Gut-kidney axis: Dysbiosis and renal disease.World journal of nephrology · 2026
    Review
  7. Review
  8. Review
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  12. Endogenous Ethanol Metabolism and Development of MASLD-MASH.International journal of molecular sciences · 2025
    Review
  13. 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

9 authors.

Thasinas DissayabutraMetabolic Diseases in Gut and Urinary System Research Unit (MeDGURU), Department of Biochemistry, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.
Natthaya ChuaypenMetabolic Diseases in Gut and Urinary System Research Unit (MeDGURU), Department of Biochemistry, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.
Pornjira SomnarkCenter of Excellence in Hepatitis and Liver Cancer, Department of Biochemistry, Chulalongkorn University, Bangkok, 10330, Thailand.
Bootsakorn BoonkaewCenter of Excellence in Hepatitis and Liver Cancer, Department of Biochemistry, Chulalongkorn University, Bangkok, 10330, Thailand.
Suwasin UdomkarnjananunDivision of Nephrology, Department of Medicine, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.
Piyawan KittiskulnamDivision of Nephrology, Department of Medicine, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.
Pimpisa CharoenchittangDepartment of Computer Science, Faculty of Science, Kasetsart University, Bangkok, Thailand.
Pinidphon PrombutaraMod Gut Co., Ltd., Bangkok, Thailand.
Pisit TangkijvanichCenter of Excellence in Hepatitis and Liver Cancer, Department of Biochemistry, Chulalongkorn University, Bangkok, 10330, Thailand. pisittkvn@yahoo.com.

Funding

This work was supported by the NSRF via the Program Management Unit for Human Resources & Institutional Development, Research and Innovation (PMU-B) B36G660010This work was supported by the Thailand Science research and Innovation Fund Chulalongkorn University HEAF67300062
6 · The paper itself

Abstract

The mechanistic role of gut microbiota in metabolic dysfunction-associated steatotic liver disease (MASLD) and chronic kidney disease (CKD) is increasingly recognized. Despite their close association, comparative data regarding gut dysbiosis in these disorders are limited. This study included 22 healthy controls and 180 patients (90 MASLD, 60 CKD, and 30 both diseases with sex- and age-matched). Fecal bacterial 16 S ribosomal RNA sequencing and butyryl-CoA: acetate CoA transferase (BCoAT) gene expression were analyzed. Plasma intestinal fatty acid binding protein (I-FABP), representing intestinal barrier dysfunction, was assessed using the ELISA method. Our data showed that alpha and beta diversities of gut microbiota differed between MASLD and healthy controls. However, only beta diversities were different between CKD and healthy individuals. The MASLD and CKD groups displayed fewer SCFA-producing genera, particularly Bifidobacterium, than healthy controls. Fecal BCoAT levels were inversely correlated with eGFR and I-FABP levels. Patients with CKD had significantly enriched pathogenic bacteria, reduced BCoAT, and increased I-FABP levels versus MASLD. Combining significant bacterial genera discriminated MASLD from CKD with high diagnostic accuracy (AUC of 0.90). Among patients with both diseases, gut microbial alterations showed mixed characteristics of MASLD and CKD. These data highlighted the shared and distinct gut dysbiosis and related biomarkers, which could provide a better understanding of MASLD and CKD pathogenesis.

Indexed as

DysbiosisFatty LiverGastrointestinal MicrobiomeRenal Insufficiency, ChronicAdultAgedBacteriaCase-Control StudiesFatty Acid-Binding ProteinsFecesFemaleHumansMaleMiddle AgedRNA, Ribosomal, 16SFatty Acid-Binding ProteinsRNA, Ribosomal, 16SCKDDysbiosisGut microbiomeLeaky gutMASLDSCFAs

Identifiers

PMID40319096
PMCPMC12049563

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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.