ArticleBMC microbiology2025
Fecal metabolites as early-phase biomarkers and prediction panel for ischemic stroke.
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 4 papers.
What it found
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Who cites it
4 citing papers in PubMed.
- Consistent decline of acetylcholine in microbiota-gut-brain axis mediates antibiotic-induced anxiety via regulating hippocampus microglial activation.Molecular psychiatry · 2026Article
- A Segatella Copri-centered Gut Microbiota-mediated Metabolic Dysregulation Associated with Transition from Asymptomatic to Symptomatic Intracranial Atherosclerosis.Translational stroke research · 2026Article
- Akkermansia muciniphila improving depression-like behaviors by regulating glycerophospholipid metabolism in gut-brain axis.Frontiers in pharmacology · 2026Article
- Chronic administration of isotretinoin induces depressive- and anxiety-like behaviors by altering the neuroactive ligand-receptor interaction pathway in adolescent mice.Translational psychiatry · 2025Article
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Authors and funding
12 authors.
Funding
Abstract
backgroundThere is growing research on the relationship between gut bacteria and various forms of strokes. This study aimed to investigate the relationship between fecal metabolites and ischemic stroke, providing a new perspective on predicting the latter.
resultsStool samples were taken from 60 patients with ischemic stroke and 60 healthy individuals, and non-targeted metabolomic analysis was used. The generalized boosted linear model was utilized for co-occurrence analysis to ascertain the noteworthy variation in fecal metabolites. The important differential metabolites were identified by the random forest algorithm, a prediction panel was developed to distinguish ischemic stroke patients from healthy individuals. Specifically, six differential metabolites (Ganoderic acid theta, Fructose-lysine, Pentaethylene glycol, 2-Chlorooctadecanoic acid, PA(2:0/PGF1alpha), and 4-[(E)-5,6-Dihydro-2,3'-bipyridin-3(4H)-ylidenemethyl]-3-methoxyphenol) were identified as potential independent stroke-associated metabolites. A prediction panel consisting of these six metabolites could yield an area under the curve of 0.989 in training set and 0.973 in testing set. There was a substantial correlation between all six independent stroke-associated metabolites and the severity of ischemic stroke, but it was not affected by depression or anxiety.
conclusionsThese six differential metabolites were independent stroke-associated metabolites, and the panel consisting of these metabolites could serve as a potential prediction panel for ischemic stroke. However, future external validation in multi-ethnic cohorts is necessary to confirm broader generalizability.
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