Plasma Exosomal miRNA Biomarkers for Recurrent Depressive Disorder

A supplementary dataset from a study identifying plasma exosomal microRNAs as candidate biomarkers for Recurrent Depressive Disorder (RDD). The research identified 49 differentially expressed miRNAs, with miR-618 and miR-223–3p showing diagnostic potential. The dataset was authored by Xiangyang Zhang and last updated on June 1, 2026.

Use Cases

• Validating candidate miRNA biomarkers for depression based on reported differential expression.
• Training diagnostic models for Recurrent Depressive Disorder based on the reported AUC values for miR-618 and miR-223–3p.
• Investigating molecular pathways in depression, such as the PI3K-Akt or MAPK signaling pathways, based on the KEGG enrichment results.
• Studying the role of exosomal miRNAs in neuronal and synaptic plasticity impairment mentioned in the functional validation.

Strengths

• Includes validation results for two specific miRNAs (miR-618 and miR-223–3p) with reported diagnostic AUC values of 0.782 and 0.762.
• Analysis is based on high-throughput sequencing and RT-qPCR validation, suggesting a multi-method approach.
• Released under a permissive CC-BY-4.0 license.

Limitations

• The dataset is very small at 34.2 KB, indicating limited scope.
• Row count and column-level documentation are unknown, making suitability assessment difficult.
• The primary file format is DOCX, which may require parsing to extract structured data.

Provenance

Source

figshare

Collection Method

Data likely derived from high-throughput sequencing and RT-qPCR of plasma exosomes from RDD patients and healthy controls.

Freshness

Last updated 2026-06-01 05:25:16