Evidence map›Paper›PMID 42000726›Full record

ArticleNature communications2026

Multi-kingdom profiling reveals altered gut phage-bacteria-metabolite interactions in MASLD.

Xiaofeng Zhou, Da Zhou, Yanni Pu, Hanseul Kim, Zhonghan Sun, Wenhao Qi, Jiadong Jin, Wanqin Zhang, Mingfeng Xia, Chengyan Wang and 5 more

Abstract read
In one paragraph

Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  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

15 authors.

Xiaofeng Zhou *Ministry of Education Key Laboratory of Contemporary Anthropology, Human Phenome Institute, Fudan University, Shanghai, China.ORCID 0009-0001-0680-0223
Da Zhou *Department of Gastroenterology and Hepatology, Zhongshan Hospital of Fudan University, Shanghai, China.
Yanni Pu *Ministry of Education Key Laboratory of Contemporary Anthropology, Human Phenome Institute, Fudan University, Shanghai, China.ORCID 0000-0002-9603-4584
Hanseul KimDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Zhonghan SunMinistry of Education Key Laboratory of Contemporary Anthropology, Human Phenome Institute, Fudan University, Shanghai, China.
Wenhao QiMinistry of Education Key Laboratory of Contemporary Anthropology, Human Phenome Institute, Fudan University, Shanghai, China.
Jiadong JinDepartment of Gastroenterology and Hepatology, Zhongshan Hospital of Fudan University, Shanghai, China.
Wanqin ZhangDepartment of Gastroenterology and Hepatology, Zhongshan Hospital of Fudan University, Shanghai, China.
Mingfeng XiaDepartment of Endocrinology and Metabolism, Zhongshan Hospital and Fudan Institute for Metabolic Diseases, Fudan University, Shanghai, China.ORCID 0000-0002-5650-0165
Chengyan WangHuman Phenome Institute, Fudan University, Shanghai, China.ORCID 0000-0002-8890-4973
Shangyu HongState Key Laboratory of Genetics and Development of Complex Phenotypes, School of Life Science, Fudan University, Shanghai, China.ORCID 0000-0001-6144-5618
Long H NguyenDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA.ORCID 0000-0002-5436-4219
Na JiaoState Key Laboratory of Genetics and Development of Complex Phenotypes, School of Life Science, Fudan University, Shanghai, China. najiao@fudan.edu.cn.ORCID 0000-0003-3976-6313
Yan ZhengState Key Laboratory of Genetics and Development of Complex Phenotypes, School of Life Science, Fudan University, Shanghai, China. yan_zheng@fudan.edu.cn.ORCID 0000-0003-1129-3147
Taotao LiuDepartment of Gastroenterology and Hepatology, Zhongshan Hospital of Fudan University, Shanghai, China. liu.taotao@zs-hospital.sh.cn.ORCID 0000-0002-4623-9012

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metabolic dysfunction-associated steatotic liver disease (MASLD) is increasingly linked to gut microbial dysbiosis, but most studies have focused on bacteria, neglecting viruses and fungi, and their interactions. Here we show that MASLD is characterized by coordinated disruption of bacterial, viral and fungal communities and by a disturbed phage-bacteria-metabolite axis associated with disease-related bile acid changes. Integrating shotgun metagenomics, fungal ITS2 sequencing, fecal metabolomics and clinical profiling in 210 patients with MASLD and 210 age- and gender-matched healthy controls, we find reduced microbial diversity and extensive remodeling of cross-kingdom ecological networks in MASLD. Ruminococcus gnavus emerges as an enriched central hub, while Faecalibacterium prausnitzii and its associated bacteriophages are depleted. Phage-host analyses further reveal reduced lytic activity against R. gnavus and loss of sulfur amino acid metabolism-related auxiliary metabolic genes, which may impair F. prausnitzii fitness. Diminished phage control may facilitate R. gnavus expansion, alongside increased fecal isodeoxycholic acid, a secondary bile acid implicated in hepatic steatosis. A diagnostic classifier integrating bacterial and viral features with clinical parameters distinguish MASLD from controls in our cohort and maintain predictive performance in two external datasets. Together, these findings uncover a disrupted phage-bacteria-metabolite axis in MASLD and provide a multi-kingdom framework for non-invasive biomarker discovery and microbiome-targeted therapies.

Indexed as

BacteriaBacteriophagesFatty LiverGastrointestinal MicrobiomeBile Acids and SaltsCase-Control StudiesDysbiosisEubacterialesFaecalibacterium prausnitziiFecesFemaleHumansMaleMetabolomicsMetagenomicsRuminococcusBile Acids and Salts

Identifiers

PMID42000726
PMCPMC13275893

What OpenQuestion holds

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LicenceCC BY
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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.