Hospitalized patients with Staphylococcus aureus infection showed group-associated microbial and metabolic differences compared with healthy controls, but these patterns cannot be separated from treatment, hospitalization, disease severity, and other clinical interventions, making findings 'preliminary and hypothesis-generating rather than S. aureus-specific signatures.'
Key Findings
Results
Alpha-diversity indices were lower in the SAI group compared to healthy controls.
The study included 16 hospitalized patients with microbiologically confirmed SAI and 10 healthy controls.
First qualified fecal sample was collected within 7 days after microbiological confirmation.
Fifteen of 16 patients had received antimicrobial treatment before sampling, which likely confounds diversity differences.
None of the healthy controls had received antibiotics before fecal collection.
Results
Bray-Curtis PERMANOVA revealed a statistically significant but modest group-associated difference in gut microbial community composition between SAI patients and healthy controls.
PERMANOVA results: F = 2.8654, R² = 0.1067, P = 0.0001.
The R² value of 0.1067 indicates that group membership explained only approximately 10.7% of the variance in community composition.
PERMDISP was not significant (P = 0.0885), suggesting the compositional difference was not driven by differences in dispersion.
The authors describe the difference as 'statistically significant but modest.'
Results
ANCOM-BC2 identified four bacterial genera with robustly higher bias-corrected abundance in the SAI group: Corynebacterium, the [Clostridium] innocuum group, Enterococcus, and Eggerthella.
Differential abundance was assessed using ANCOM-BC2 with Benjamini-Hochberg correction and pseudo-count sensitivity analysis.
Effect directions for all four genera remained positive in culture-confirmed and respiratory-infection-only subgroup analyses.
Not all four genera retained pseudo-count-robust significance in sensitivity analyses.
Genus-level analysis was chosen as the primary level of resolution for differential abundance testing.
Results
Untargeted fecal metabolomics detected 2,956 features, with 381 candidate features identified using VIP > 1 and raw P < 0.05.
LC-MS/MS-based untargeted metabolomics was used to analyze fecal metabolites.
Of the 2,956 features detected, 2,491 had putative MS/MS-based annotations.
381 candidate features were identified using VIP > 1 and raw P < 0.05 as thresholds.
Exploratory enrichment signals involved tryptophan, glutathione, sulfur, bile acid, amino acid, and lipid metabolism.
These enrichment signals were explicitly 'not regarded as FDR-confirmed.'
Results
No clinical-omics associations remained significant after FDR correction.
Associations between clinical indicators (inflammatory and organ-function indicators) and omics data were explored.
No association survived false discovery rate correction.
The study was designed as an exploratory observational single-center study with a small sample size (n=26 total).
The authors characterize all findings as 'preliminary and hypothesis-generating rather than S. aureus-specific signatures.'
Discussion
The gut microbiota and metabolomic alterations observed in SAI patients cannot be attributed specifically to S. aureus infection due to extensive antimicrobial pre-exposure and other confounders.
Fifteen of 16 SAI patients had received antimicrobial treatment before fecal sampling.
Potential confounders include antimicrobial treatment, hospitalization, disease severity, and other clinical interventions.
The authors explicitly state these patterns 'cannot be separated from treatment, hospitalization, disease severity, and other clinical interventions.'
The study design is characterized as 'single-center exploratory observational,' limiting causal or pathogen-specific inference.
What This Means
This research suggests that hospitalized patients with Staphylococcus aureus (staph) infections have noticeably different gut bacterial communities and stool chemical profiles compared to healthy people. Specifically, patients had lower diversity of gut bacteria overall, and four particular bacterial genera — Corynebacterium, the Clostridium innocuum group, Enterococcus, and Eggerthella — were more abundant in infected patients. Exploratory analysis of chemical compounds in stool hinted at differences in pathways related to tryptophan, bile acids, and other metabolic processes, though none of these chemical differences held up under rigorous statistical correction for multiple comparisons.
However, this research comes with an important caveat: almost all of the infected patients (15 out of 16) had already received antibiotic treatment before their stool samples were collected. Antibiotics are well-known to dramatically alter the gut microbiome, meaning the differences seen between staph patients and healthy controls could largely or entirely reflect the effects of antibiotics, hospitalization, and illness severity — rather than the staph infection itself. The study also had a small sample size of only 26 participants total.
The authors are transparent that these findings are preliminary and hypothesis-generating, not definitive proof of staph-specific gut changes. This research suggests that future studies designed to collect stool samples before antibiotic treatment, or with larger and better-matched comparison groups, would be needed to determine whether staph infections truly have a distinct effect on the gut microbiome independent of treatment and hospitalization.
Zhao Y, Chen W, Chen P, Chen X, Ding Y, Han Z. (2026). Gut microbiota and fecal metabolomic alterations in hospitalized patients with Staphylococcus aureus infection: an exploratory multi-omics study.. Frontiers in cellular and infection microbiology. https://doi.org/10.3389/fcimb.2026.1919715