Evidence map›Paper›PMID 41087898›Full record

ArticleBMC microbiology2025

Characterization of the gut mycobiome in patients with non-alcoholic fatty liver disease and correlations with serum metabolome.

Ning Zheng, Dangrang Wang, Guorui Xing, Yidan Gao, Shenghui Li, Jin Liu, Jian Kang, Shanshan Sha, Lin Cheng, Shao Fan and 3 more

Abstract read
In one paragraph

Article in BMC microbiology, 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

13 authors.

Ning Zheng *Department of critical care medicine, The Second Hospital of Dalian Medical University, Dalian, 116023, China.
Dangrang Wang *Department of Gastroenterology, The Second Hospital of Dalian Medical University, Dalian, 116023, China.
Guorui Xing *Puensum Genetech Institute, Wuhan, 430076, China.
Yidan Gao *Health Management Center, The Second Hospital of Dalian Medical University, Dalian, 116023, China.
Shenghui LiPuensum Genetech Institute, Wuhan, 430076, China.
Jin LiuDivision of Gastrointestinal & Bariatric-Metabolic Surgery, Department of General Surgery, The Second Hospital of Dalian Medical University, Dalian, 116023, Liaoning, China.
Jian KangDepartment of Microbiology, College of Basic Sciences, Dalian Medical University, Dalian, 116044, China.
Shanshan ShaDepartment of Microbiology, College of Basic Sciences, Dalian Medical University, Dalian, 116044, China.
Lin ChengDepartment of Microbiology, College of Basic Sciences, Dalian Medical University, Dalian, 116044, China.
Shao FanDepartment of Microbiology, College of Basic Sciences, Dalian Medical University, Dalian, 116044, China.
Jian YuDepartment of critical care medicine, The Second Hospital of Dalian Medical University, Dalian, 116023, China. yujian0427@dmu.edu.cn.com.
Qiulong YanDepartment of Microbiology, College of Basic Sciences, Dalian Medical University, Dalian, 116044, China. qiulongy1988@163.com.
Chunmeng JiangDepartment of Gastroenterology, The Second Hospital of Dalian Medical University, Dalian, 116023, China. jcmocean@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEmerging evidence suggests that the gut microbiome plays a key role in metabolic diseases such as non-alcoholic fatty liver disease, yet the contribution of the gut mycobiome remains largely overlooked.

methodsWe performed a comprehensive analysis of publicly available fecal metagenomic sequencing data and matched serum metabolomic profiles from 90 non-alcoholic fatty liver disease patients and 90 healthy controls. A curated fungal genome database was constructed for taxonomic profiling. We integrated fungal, bacterial, and metabolomic data to assess taxon-specific associations, cross-kingdom interactions, and predictive potential.

resultsAlthough overall fungal diversity showed no significant differences between groups, four fungal species-Pseudopithomyces sp. c174, Mucor sp. c176, Aspergillus sp. c25, and Ascochyta c213-were significantly enriched in non-alcoholic fatty liver disease patients. The gut mycobiome explained 38.2% of the variance in serum metabolomic profiles, with several species displaying strong correlations with non-alcoholic fatty liver disease relevant metabolites. For instance, Pseudopithomyces sp. c174 was positively associated with protective metabolites such as glycoursodeoxycholic acid and alpha-linolenic acid, while Aureobasidium c170 and Basipetospora c193 were linked to phenylacetic acid, a metabolite implicated in hepatic lipid accumulation. Network analysis revealed altered fungal-bacterial co-abundance patterns in non-alcoholic fatty liver disease, with fungal taxa such as Alternaria alternata c42 and Malassezia c303 emerging as key hubs. A random forest classifier integrating 42 bacterial and fungal features achieved an AUC of 0.772 for distinguishing non-alcoholic fatty liver disease from controls, highlighting the predictive value of the mycobiome.

conclusionsOur findings reveal that gut fungal communities are functionally and ecologically altered in non-alcoholic fatty liver disease and contribute to shaping the host metabolic environment. These results underscore the need to incorporate the gut mycobiome into future microbiome-based strategies for non-alcoholic fatty liver disease diagnosis and treatment.

Indexed as

FungiGastrointestinal MicrobiomeMetabolomeMycobiomeNon-alcoholic Fatty Liver DiseaseAdultAgedBacteriaFecesFemaleHumansMaleMetagenomicsMiddle AgedGut mycobiomeNetwork interactionNon-alcoholic fatty liver diseaseSerum metabolomeShotgun metagenome sequencing

Identifiers

PMID41087898
PMCPMC12522779

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.