Proteomic Biomarker Data for Acupuncture Treatment in Young Females with Mild Depression

Olink proteomics data from a clinical trial investigating inflammatory biomarkers in young females with mild depression. The dataset includes plasma protein expression levels from 30 participants across healthy control, mild depression, and acupuncture treatment groups, with ELISA validation on an expanded cohort of 40 per group. The data was published by Zhongxian Li on figshare in March 2026 under a CC-BY-4.0 license.

Use Cases

• Identify differentially expressed proteins (DEPs) associated with mild depression based on Olink proteomics analysis.
• Validate treatment-responsive biomarkers like FGF-19 based on ELISA confirmation data.
• Explore correlations between protein expression and clinical depression scores (HAMD-17, SDS) mentioned in the study.
• Analyze the immunomodulatory effects of acupuncture intervention based on pre- and post-treatment protein profiles.

Strengths

• Includes validation data from an expanded cohort of 40 participants per group using ELISA.
• Clinical trial is registered with the Chinese Clinical Trial Registry (ChiCTR2300068054).
• Specific biomarkers like FGF-19, SIRT2, and AXIN1 are identified and discussed in the description.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Dataset is very small at 14.1 KB, indicating limited scope.

Provenance

Source

figshare, author Zhongxian Li.

Collection Method

Plasma samples analyzed using the Olink Target 96 Inflammation panel, with subsequent Gene Ontology and KEGG enrichment analysis.

Time Range

Study period not specified; data reflects a single clinical trial.

Freshness

Last updated 2026-03-17 13:05:38; freshness should be verified.

Geography

Likely China, based on the clinical trial registry identifier.