PSD is associated with dynamic alterations along the 'gut-brain-inflammation-metabolism' axis, with severity-specific signatures including increased Alistipes abundance, reduced antioxidant capacity, and altered tryptophan metabolism identified through integrated metagenomic, metabolomic, and cytokine analysis.
PSD patients exhibited significantly increased gut microbiota alpha-diversity compared to non-PSD controls, suggesting dysbiosis.
Mild PSD was characterized by compensatory neural signaling activation, while moderate PSD exhibited tryptophan/indole metabolism abnormalities and oxidative stress-related metabolic imbalances.
Four specific gut microbial taxa were associated with distinct inflammatory and metabolic features in PSD.
Serum cytokine profiles including IL-1β, IL-6, IL-10, IL-18, TNF-α, IFN-γ, and CRP were analyzed across PSD severity groups.
Multi-omics combination models demonstrated superior discriminatory ability for PSD stratification compared to single-omics approaches under 10-fold cross-validation.
The study identified multi-omics clues suggesting PSD is associated with increased Alistipes abundance, reduced antioxidant capacity, and altered tryptophan metabolism across severity levels.
Post-stroke depression (PSD) affects many stroke survivors and worsens their recovery, but the biological mechanisms behind it are poorly understood. This research suggests that PSD involves a complex interplay between gut bacteria, metabolism, and inflammation — what the authors call the 'gut-brain-inflammation-metabolism' axis. By analyzing gut microbiome composition, metabolites in blood, and inflammatory markers in 91 stroke patients with varying depression severity, the researchers found that PSD patients had notably different gut bacterial communities compared to those without depression, and that different severities of depression had distinct biological signatures. For example, mild depression appeared to involve the body compensating through neural signaling, while moderate depression showed disruptions in how the body processes tryptophan (an amino acid important for mood regulation) and signs of increased oxidative stress. The study also pinpointed specific gut bacteria linked to different biological processes: Alistipes was tied to inflammation, Blautia_A to changes in GABA (a calming brain chemical), Evtepia gabavorous to aromatic amino acid processing, and Lachnospira to fat and amino acid metabolism. When the researchers combined data from all three measurement approaches (microbiome, metabolites, and inflammation), their computer models were better at distinguishing between PSD severity levels than when using any single data type alone, suggesting that multi-omics approaches may offer advantages for identifying and categorizing PSD. This research suggests that the gut microbiome could be a target for future interventions aimed at treating or preventing PSD, and that biological markers from gut bacteria, metabolism, and inflammation could potentially help clinicians identify how severe a patient's depression is. However, the authors caution that this was a relatively small study and that these findings need to be confirmed in larger groups of patients, followed over time, and tested in laboratory studies to understand the underlying mechanisms before any clinical applications could be considered.
Chen W, Pan Y, Chen M, Zhou S, Liu X, Sun M, et al.. (2026). Integrated metagenomic and metabolomic analysis identifies severity-specific inflammatory and metabolic signatures in post-stroke depression.. Gut microbes. https://doi.org/10.1080/19490976.2026.2726620