Integrated Clinical and Multi-Omics Data for Aortic Dissection Biomarker Analysis

A 2026 study by Bo Zhang integrates clinical data from 288 participants (144 AD patients and 144 controls) with multi-omics analyses. The dataset supports research into six composite inflammatory indices and their association with macrophage-related gene expression in aortic dissection. It includes results from single-cell RNA sequencing, bulk transcriptomics, and machine learning feature selection.

Use Cases

• Validate composite inflammatory indices (NLR, MLR, SIRI, SII, PHR, AISI) as prognostic markers for aortic dissection based on clinical cohort data.
• Identify macrophage-associated gene expression programs using integrated single-cell and bulk RNA-seq data mentioned in the description.
• Train diagnostic classifiers using machine learning-selected feature genes (HIF1A, ITGA5, PLAUR, TLR2) derived from multi-omics analysis.
• Perform external validation of candidate biomarkers using the referenced GSE52093 dataset and RT-qPCR results.

Strengths

• Clinical analysis includes 288 participants with 144 AD patients and 144 controls, providing a matched cohort.
• Multi-omics integration combines single-cell RNA-seq (GSE213740), bulk transcriptomics (GSE153434), and external validation (GSE52093).
• Machine learning feature selection (LASSO, random forest, SVM-RFE) identified four consistent candidate genes from 25 initial candidates.

Limitations

• The primary data file is a 141.2 KB PDF, which is a summary document; the underlying raw datasets are hosted elsewhere and must be accessed separately.
• Column-level documentation is absent; field semantics must be inferred from the research paper after download.
• Row count for the underlying clinical and omics datasets is unknown, which may limit suitability assessment.

Provenance

Source

Bo Zhang via figshare

Collection Method

Clinical cohort study integrated with public omics datasets (GSE213740, GSE153434, GSE52093) and experimental validation.

Freshness

Last updated 2026-05-20 22:01:40; freshness should be verified.