circMAN1A2 Expression Levels for Gout Diagnosis: Clinical Validation Study

Peripheral blood circMAN1A2 levels show preliminary diagnostic potential for gout with an AUC of 0.86. The dataset, authored by Wenyan Guo and last updated in 2026, integrates public transcriptomic mining from GEO dataset GSE178825 with targeted clinical validation. It includes data from 30 patients with acute gout flare, 30 individuals with hyperuricaemia, and 30 healthy controls.

Use Cases

• Validate circMAN1A2 as a diagnostic biomarker for gout based on expression levels in peripheral blood mononuclear cells.
• Compare biomarker performance between gout patients, hyperuricaemia individuals, and healthy controls using ROC analysis.
• Investigate the functional role of circRNAs in gout pathogenesis through host-gene enrichment and protein-protein interaction analyses.

Strengths

• Includes clinical validation data from 90 human subjects across three distinct cohorts.
• Reports specific diagnostic performance metrics, including an AUC of 0.86 with 90.0% sensitivity and 90.1% specificity.
• Integrates analysis of a public transcriptomic dataset (GEO GSE178825) with original experimental validation.

Limitations

• Row count and column-level documentation are unknown, which limits suitability assessment.
• The dataset is very small at 21.5 KB, indicating limited scope.
• Data may reflect bias inherent to the specific clinical samples and public dataset used.

Provenance

Source

figshare, author Wenyan Guo

Collection Method

Differential expression analysis of a public GEO microarray dataset followed by clinical validation via RT-qPCR on isolated PBMCs.

Freshness

Last updated 2026-05-26 04:39:14; freshness should be verified.