Evidence mapPaperPMID 41469536Full record

ArticleBMC microbiology2025

Age-specific alterations of the gut mycobiome in patients with myalgic encephalomyelitis/chronic fatigue syndrome and identification of potential diagnostic biomarkers.

Yunong Gan, Ruihong Ning, Wen Zhang, Yisha Xu, Siyuan Zhang, Zhiyan Zhang, Jinglan Xia, Min Dai, Wei Guo

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 2 papers, 2 of them syntheses that pooled it.

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

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

  1. Pooled it
  2. Pooled it
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.

Yunong Gan *Sichuan Provincial Engineering Laboratory for Prevention and Control Technology of Veterinary Drug Residue in Animal-Origin Food, School of Laboratory Medicine, Chengdu Medical College, Chengdu, 610500, China.
Ruihong Ning *School of Laboratory Medicine, Chengdu Medical College, Chengdu, 610500, China.
Wen Zhang *School of Laboratory Medicine, Chengdu Medical College, Chengdu, 610500, China.
Yisha XuSichuan Provincial Engineering Laboratory for Prevention and Control Technology of Veterinary Drug Residue in Animal-Origin Food, School of Laboratory Medicine, Chengdu Medical College, Chengdu, 610500, China.
Siyuan ZhangSchool of Laboratory Medicine, Chengdu Medical College, Chengdu, 610500, China.
Zhiyan ZhangSchool of Laboratory Medicine, Chengdu Medical College, Chengdu, 610500, China.
Jinglan XiaSichuan Provincial Engineering Laboratory for Prevention and Control Technology of Veterinary Drug Residue in Animal-Origin Food, School of Laboratory Medicine, Chengdu Medical College, Chengdu, 610500, China.
Min DaiSichuan Provincial Engineering Laboratory for Prevention and Control Technology of Veterinary Drug Residue in Animal-Origin Food, School of Laboratory Medicine, Chengdu Medical College, Chengdu, 610500, China. daimin1015@163.com.
Wei GuoSichuan Provincial Engineering Laboratory for Prevention and Control Technology of Veterinary Drug Residue in Animal-Origin Food, School of Laboratory Medicine, Chengdu Medical College, Chengdu, 610500, China. guochina2005@126.com.

Funding

CMC Excellent-talent Program No.2024yxGzn05he Scientific Research Development Fund Project of Chengdu Medical College CYYZZ25-15National Natural Science Foundation of China No. 82472328Sichuan Provincial Science and Technology Support Program No. 2024NSFSC1179the Open Project of Collaborative Innovation Center of Sichuan for Elderly Care and Health YLKYZD2203the School-level fund of Chengdu medical college CYZYB23-06
6 · The paper itself

Abstract

backgroundWhile bacterial dysbiosis and metabolic disruptions have been widely implicated in the pathogenesis of myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS), the contribution of the gut mycobiome remains largely unresolved, particularly in the context of host age.

resultsHere, high-throughput internal transcribed spacer (ITS) sequencing was applied to fecal samples from 118 individuals (59 ME/CFS patients and 59 healthy matched controls), stratified into three age cohorts: young (18–34 years), middle-aged (35–55 years), and elderly (56–85 years). ME/CFS patients demonstrated significant alterations in gut fungal community composition and diversity compared to controls, with age-specific patterns emerging upon stratified analysis. Reduced fungal amplicon sequence variant (ASV) richness was observed in ME/CFS patients within the young (P < 0.001) and middle-aged (P < 0.01) cohorts, while the elderly ME/CFS group unexpectedly exhibited increased alpha diversity. Principal coordinate analyses based on Bray–Curtis and Jaccard distances robustly differentiated ME/CFS and control groups across all age strata, with the magnitude of separation exceeding that observed in age-unstratified analysis. Age-dependent discriminatory taxa were identified, including Preussia, Endocarpon, Chlorocillium, and Verticillium in the young cohort; Preussia, Romagnesiella, Aspergillus, and Trichothecium in the middle-aged cohort; and Chaetomium, unclassified Ascomycota, and Chlorocillium in the elderly cohort. Classification models based on fungal genera achieved an overall accuracy of 65.2% (AUC = 0.786) without age stratification, but predictive performance was markedly enhanced, yielding accuracies of 87.5% (AUC = 1.00), 100% (AUC = 0.911), and 100% (AUC = 1.00) in the young, middle-aged, and elderly cohorts, respectively. Correlation analyses revealed that taxa positively associated with fatigue severity were consistently depleted in ME/CFS, whereas negatively associated genera were enriched, suggesting that these fungi function primarily as biomarkers of disease burden rather than as causal agents.

conclusionsThese findings underscore the critical importance of age-specific analyses in mycobiome research and highlight gut fungal profiles as promising diagnostic biomarkers for ME/CFS when age is explicitly accounted for.

Indexed as

Fatigue Syndrome, ChronicFungiGastrointestinal MicrobiomeMycobiomeAdolescentAdultAgedAged, 80 and overAge FactorsBiomarkersFecesFemaleHigh-Throughput Nucleotide SequencingHumansMaleMiddle AgedBiomarkersAge-stratifiedChronic Fatigue Syndrome (CFS)Gut FungiITS SequencingMyalgic Encephalomyelitis (ME)

Identifiers

PMID41469536
PMCPMC12866131

What Socratic holds

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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 Socratic graph.