ArticleBMC microbiology2025
Age-specific alterations of the gut mycobiome in patients with myalgic encephalomyelitis/chronic fatigue syndrome and identification of potential diagnostic biomarkers.
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.
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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.
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Who cites it
2 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Biomarkers of post-acute infection syndrome: a systematic literature review.Frontiers in immunology · 2026Pooled it
- Association between myalgic encephalomyelitis/chronic fatigue syndrome and irritable bowel syndrome: a systematic review and meta-analysis.Frontiers in medicine · 2026Pooled it
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Authors and funding
9 authors.
Funding
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.
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