Oral and Gut Microbiota Profiles for Post-Stroke Cognitive Impairment Study

Data Sheet 1_Oral and gut microbiota dysbiosis with strengthened oral–gut connectivity in post-stroke cognitive impairment.zip contains paired oral and gut microbiome data from a clinical study of post-stroke cognitive impairment (PSCI). The dataset, authored by Xuetong Zhang and last updated in June 2026, includes 16S rRNA gene sequencing results from 133 post-stroke participants, 64 of whom had PSCI. It supports analyses of microbial diversity, taxonomic composition, and predicted functional pathways.

Use Cases

• Train machine learning models to classify PSCI status based on combined oral and gut microbiome features.
• Analyze oral-gut connectivity metrics, such as paired dissimilarity and oral enrichment score, in a clinical cohort.
• Investigate predicted functional pathway alterations, like lipopolysaccharide biosynthesis, inferred from taxonomic data.
• Compare alpha and beta diversity metrics between PSCI and non-PSCI groups across oral and gut sites.

Strengths

• Includes paired samples from two body sites (tongue-coating and feces) for 133 individuals.
• Contains data from 64 participants with post-stroke cognitive impairment (PSCI) for case-control analysis.
• Results from machine learning models using combined features are reported, with an exploratory test-set AUC of 0.945.

Limitations

• Row count and column-level documentation are unknown, requiring manual inspection after download.
• The study is described as a single-center, cross-sectional design, which may limit generalizability.
• The dataset size is 13.5 MB, indicating a relatively small-scale genomic dataset.

Provenance

Source

figshare

Collection Method

Paired tongue-coating and fecal samples from a single-center cross-sectional study underwent 16S rRNA gene sequencing.

Freshness

Last updated 2026-06-04 09:41:41