Frontiers in immunology

Imbalance in gut fungi and immune problems in Chinese schizophrenia patients with metabolic syndrome

Updated

Abstract

Essence

Chinese schizophrenia patients with metabolic syndrome showed distinct gut fungal shifts and immune correlations despite no major difference in overall structure versus healthy controls.

Evidence

This was a cross-sectional ITS1 sequencing and immune-profiling study of 109 schizophrenia patients with metabolic syndrome and 101 healthy controls that found taxonomic differences, a six-species diagnostic signature with AUC 0.86, and species-specific correlations with cytokines, metabolic markers, and symptom severity.

Caveat

Because the study was cross-sectional and correlation-based, it cannot determine whether fungal alterations cause immune, metabolic, or psychiatric changes.

Simplified

Key numbers

2,512 vs 2,176
Increase in
patients had 15.5% more than healthy controls.
0.86
Diagnostic accuracy
AUC for the six- fungal signature.

Key figures

Figure 1
Fecal diversity and composition in patients versus healthy controls
Highlights subtle fungal community differences with more low-abundance in SZ-MetS patients than controls
fimmu-16-1652633-g001
  • Panels A–E
    indices (Shannon, Simpson) and richness indices (Chao1, ACE, observed species) comparing SZ-MetS patients and healthy controls, with no significant differences indicated
  • Panels F–I
    (PCoA) plots showing of individual fecal mycobiota based on Bray–Curtis, Jaccard, unweighted UniFrac, and weighted UniFrac distances, with overlapping clusters of SZ-MetS and healthy controls
  • Panel J
    Rank-abundance curves of fungal (ASVs) showing a higher presence of low-abundance ASVs in SZ-MetS patients compared to healthy controls
  • Panel K
    Venn diagram illustrating overlap of ASVs between SZ-MetS patients and healthy controls, with 390 ASVs shared and unique ASVs in each group
Figure 2
Gut composition and distribution in patients versus healthy controls
Highlights distinct fungal genera enrichment in enterotypes and similar enterotype distribution between SZ-MetS patients and controls.
fimmu-16-1652633-g002
  • Panel A
    of fungal phyla in healthy controls (HCs) and SZ-MetS patients, showing multiple phyla including and .
  • Panel B
    Relative abundance of fungal families in HCs and SZ-MetS patients, with various families such as Trichosporonaceae and Saccharomycetaceae represented.
  • Panel C
    Relative abundance of fungal genera in HCs and SZ-MetS patients, including Aspergillus, Candida, and others.
  • Panel D
    Relative abundance of fungal in HCs and SZ-MetS patients, showing species like Candida albicans and Pleurotus ostreatus.
  • Panel E
    showing two enterotypes (E1 and E2) identified across HCs and SZ-MetS groups, with sample points clustered by enterotype and group.
  • Panel F
    highlighting genera specific to each enterotype, with E1 enriched for genera like Candida and E2 enriched for Aspergillus and others.
  • Panel G
    Distribution of enterotypes E1 and E2 across HCs and SZ-MetS patients, showing similar numbers of samples in each enterotype between groups.
Figure 3
Fungal taxa differences in fecal samples from patients versus healthy controls
Highlights distinct fungal taxa abundance patterns with higher levels of specific fungi in SZ-MetS patients versus controls
fimmu-16-1652633-g003
  • Panel A
    LEfSe cladograms showing fungal taxa significantly associated with SZ-MetS patients (blue) or healthy controls (red); circle size indicates across taxonomic levels from to
  • Panel B
    Histogram of Linear Discriminant Analysis () scores for fungal taxa with largest abundance differences; taxa enriched in SZ-MetS patients have positive LDA scores (blue), while those enriched in healthy controls have negative LDA scores (red)
Figure 4
Fecal fungal taxa differences between patients and healthy controls at multiple taxonomic levels
Highlights specific fungal taxa with higher abundance in SZ-MetS patients, spotlighting fungal community shifts linked to this condition
fimmu-16-1652633-g004
  • Panel A
    of fungal phyla showing higher Mortierellomycota in SZ-MetS patients versus controls
  • Panel B
    Relative abundance of fungal families with several families, including Saccharomycetaceae, increased in SZ-MetS patients compared to controls
  • Panel C
    Relative abundance of fungal genera with some genera, such as Lodderomyces, visibly higher in SZ-MetS patients than controls
  • Panel D
    Relative abundance of fungal showing multiple species, including Candida albicans and Trichosporon asahii, significantly more abundant in SZ-MetS patients
Figure 5
Healthy controls vs patients: ecological interactions among abundant fecal microbial genera
Highlights contrasting microbial interaction patterns and correlation structures between SZ-MetS patients and healthy controls
fimmu-16-1652633-g005
  • Panel HCs
    of 23 abundant fecal genera in healthy controls showing positive (red lines) and negative (blue lines) correlations; nodes colored by (black for , blue for )
  • Panel SZ-MetS
    Co-occurrence network of the same 23 genera in SZ-MetS patients with positive and negative correlations similarly indicated; network structure and correlation patterns appear visibly different from controls
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Full Text

What this is

  • This study investigates gut in Chinese schizophrenia patients with metabolic syndrome (SZ-MetS).
  • It compares fungal communities between SZ-MetS patients (n=109) and healthy controls (HCs, n=101) using advanced sequencing techniques.
  • Findings reveal distinct taxonomic shifts in , with specific fungal species linked to immune dysfunction and metabolic parameters.

Essence

  • SZ-MetS patients exhibit significant alterations in gut , characterized by enriched pathobionts and reduced beneficial species, correlating with systemic immune dysfunction. A six-species fungal signature shows strong diagnostic potential.

Key takeaways

  • Gut in SZ-MetS patients shows 15.5% more amplicon sequence variants (ASVs) than healthy controls (2,512 vs 2,176). This indicates a greater diversity of unique fungal species in SZ-MetS patients.
  • A six-species fungal signature achieved an area under the curve (AUC) of 0.86, demonstrating its potential as a diagnostic tool for SZ-MetS.
  • Specific fungal species correlate with inflammatory cytokines, such as IL-6 positively associated with certain pathobionts, suggesting a link between and immune dysfunction in SZ-MetS.

Caveats

  • The cross-sectional design limits causal inferences between changes and disease progression. Longitudinal studies are needed to establish these relationships.
  • The study's single-center design may restrict the generalizability of findings to broader populations, particularly outside of the Chinese cohort.
  • Diagnostic potential of the identified fungal taxa requires validation in independent cohorts to confirm reliability and robustness for clinical applications.

Definitions

  • mycobiota: The community of fungi residing in a specific environment, particularly the gut, influencing health and disease.

Simplified

Funding

Competing interests

No commercial or financial ties reported.
PubMed

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