Multi-Omics Mouse Study Data on Semaglutide and Cognitive Impairment

56.8 KB Excel file contains tabular data from a multi-omics mouse model study investigating semaglutide's effects on diabetic cognitive impairment. The dataset integrates fecal metagenomics, bile acid profiling, cerebral proteomics, and metabolomics from a 12-week treatment. Author Liqin Qi published the data under CC BY 4.0 in March 2026.

Use Cases

• Analyze correlations between enriched genera like Bacteroides and Barnesiella from metagenomics data and cerebral bile acid profiles.
• Model the relationship between weight-dependent modulation of the SGPP1 enzyme and normalized fecal bile acid measurements.
• Investigate the dysregulated sphingolipid pathway by examining data on the transporter ABCA2 and the enzyme CERS2 as a marker of disease severity.
• Assess microbial α-diversity metrics from metagenomics in relation to behavioral and synaptic integrity outcomes.

Strengths

• Integrates four distinct omics data types: metagenomics, bile acid profiling, proteomics, and metabolomics.
• Data is associated with a published mechanistic study identifying a novel 'gut microbiota–bile acid–sphingolipid' axis.
• Released under a permissive CC BY 4.0 license for reuse and analysis.

Limitations

• The dataset is very small at 56.8 KB, indicating limited scope and likely a summary or processed results rather than raw sequencing data.
• Data is derived solely from a mouse model, limiting direct translatability to human biology and therapeutics.
• Unknown row and column counts prevent assessment of the dataset's granularity and feature space.

Provenance

Source

figshare, author Liqin Qi.

Collection Method

Integrative multi-omics data from a mouse model of diabetic cognitive impairment following a 12-week semaglutide treatment.

Time Range

Covers a 12-week experimental treatment period.

Freshness

Last updated March 2026.

Geography

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