Urinary miR-142-3p Biomarker Data for IgA Nephropathy Progression

A 2026 study by Zhi-Yu Duan presents data on urinary microRNA miR-142-3p as a biomarker for predicting the progression of IgA nephropathy (IgAN). The dataset likely contains expression levels from two independent patient cohorts studied between 2014-2015 and 2018-2022. It was published on figshare under a CC-BY-4.0 license.

Use Cases

• Training predictive models for IgAN progression based on urinary miR-142-3p expression levels.
• Validating the International IgA Nephropathy Prediction Tool (IIGANPT) by substituting pathological indices with miR-142-3p data.
• Investigating the role of the PI3K-AKT pathway and renal tubular epithelial cell fibrosis in IgAN.

Strengths

• Data is validated across two independent patient cohorts (2014-2015 and 2018-2022).
• Multivariate Cox regression analysis shows miR-142-3p is an independent risk factor for progression (P < 0.001).
• The dataset is published under a permissive CC-BY-4.0 license, facilitating reuse.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset is small (275.5 KB), suggesting limited scope or aggregated summary statistics.

Provenance

Source

figshare

Collection Method

Clinical study of patient cohorts and in vitro cell experiments.

Time Range

Cohort data from 2014-2015 and 2018-2022.

Freshness

Last updated 2026-05-11 05:28:13.