Acute Ischemic Stroke Biomarker Data from Integrated Omics Analysis

10 acute ischemic stroke patients and 10 non-stroke controls were included in the clinical metabolomics cohort. The study identified 154 differentially expressed metabolites and 5 key genes (ITGAM, TLR4, MMP9, STAT3, TLR2) via integrated transcriptomic and metabolomic analysis, uploaded by Jiayan Zhang in April 2026.

Use Cases

• Biomarker discovery for acute ischemic stroke based on identified key genes and metabolites.
• Pathway enrichment analysis based on the 30 pathways highlighted, such as HIF-1 and FoxO signaling.
• Immune infiltration analysis based on correlations like ITGAM's negative correlation with memory B cells.
• Drug prediction modeling based on the 28 candidate drugs identified, including paregoric and celecoxib.

Strengths

• Integrated multi-omics data from transcriptomic (GSE16561 dataset) and metabolomic analyses.
• Results validated via RT-qPCR for key genes and include detailed patient demographics (e.g., mean age 65.70 ± 6.48 years).
• Released under a permissive CC-BY-4.0 license.

Limitations

• Dataset is very small (19.6 KB), suggesting it may contain summary results rather than raw data.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for large-scale modeling.

Provenance

Source

figshare, author Jiayan Zhang.

Collection Method

Metabolomic sequencing and differential gene expression analysis from the GSE16561 dataset, followed by machine learning and network analysis.

Time Range

Blood samples were obtained within 24 hours of stroke onset.

Freshness

Last updated 2026-04-15 04:21:48; freshness should be verified.

Geography

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