Evidence map›Paper›PMID 37563687›Full record

ArticleMicrobiome2023

Enterotypes of the human gut mycobiome.

Senying Lai, Yan Yan, Yanni Pu, Shuchun Lin, Jian-Ge Qiu, Bing-Hua Jiang, Marisa Isabell Keller, Mingyu Wang, Peer Bork, Wei-Hua Chen and 2 more

Abstract readVideo-Audio Media
In one paragraph

Article in Microbiome, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 67 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
67citing papers in PubMed, 2 pooled it
–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

67 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  7. Dissecting the Ecological Structure of Health and Disease in the Global Gut Microbiome.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
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7 more citing papers are in PubMed but not listed here.

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

12 authors.

Senying LaiDepartment of Neurology, Zhongshan Hospital and Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China.
Yan YanCAS Key Laboratory of Molecular Virology and Immunology, Chinese Academy of Sciences (CAS), Shanghai, China.
Yanni PuState Key Laboratory of Genetic Engineering, Human Phenome Institute, School of Life Sciences, Fudan University, Shanghai, China.
Shuchun LinThe Academy of Medical Science, Zhengzhou University, Zhengzhou, China.
Jian-Ge QiuThe Academy of Medical Science, Zhengzhou University, Zhengzhou, China.
Bing-Hua JiangThe Academy of Medical Science, Zhengzhou University, Zhengzhou, China.
Marisa Isabell KellerEuropean Molecular Biology Laboratory, Structural and Computational Biology Unit, Heidelberg, Germany.
Mingyu WangKey Laboratory of Molecular Biophysics of the Ministry of Education, Hubei Key Laboratory of Bioinformatics and Molecular Imaging, Center for Artificial Intelligence Biology, Department of Bioinformatics and Systems Biology, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei, China.
Peer BorkEuropean Molecular Biology Laboratory, Structural and Computational Biology Unit, Heidelberg, Germany. peerbork@embl.org.
Wei-Hua ChenKey Laboratory of Molecular Biophysics of the Ministry of Education, Hubei Key Laboratory of Bioinformatics and Molecular Imaging, Center for Artificial Intelligence Biology, Department of Bioinformatics and Systems Biology, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei, China. weihuachen@hust.edu.cn.
Yan ZhengState Key Laboratory of Genetic Engineering, Human Phenome Institute, School of Life Sciences, Fudan University, Shanghai, China. yan_zheng@fudan.edu.cn.
Xing-Ming ZhaoDepartment of Neurology, Zhongshan Hospital and Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China. xmzhao@fudan.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe fungal component of the human gut microbiome, also known as the mycobiome, plays a vital role in intestinal ecology and human health. However, the overall structure of the gut mycobiome as well as the inter-individual variations in fungal composition remains largely unknown. In this study, we collected a total of 3363 fungal sequencing samples from 16 cohorts across three continents, including 572 newly profiled samples from China.

resultsWe identify and characterize four mycobiome enterotypes using ITS profiling of 3363 samples from 16 cohorts. These enterotypes exhibit stability across populations and geographical locations and significant correlation with bacterial enterotypes. Particularly, we notice that fungal enterotypes have a strong age preference, where the enterotype dominated by Candida (i.e., Can_type enterotype) is enriched in the elderly population and confers an increased risk of multiple diseases associated with a compromised intestinal barrier. In addition, bidirectional mediation analysis reveals that the fungi-contributed aerobic respiration pathway associated with the Can_type enterotype might mediate the association between the compromised intestinal barrier and aging.

conclusionsWe show that the human gut mycobiome has stable compositional patterns across individuals and significantly correlates with multiple host factors, such as diseases and host age. Video Abstract.

Indexed as

Gastrointestinal MicrobiomeMicrobiotaMycobiomeAgedAgingCandidaHumansEnterotypeFungiGut mycobiomeITSMetagenomics

Identifiers

PMID37563687
PMCPMC10416509

What OpenQuestion holds

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LicenceCC BY
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.