Lipid-Immune Gene Signature for Rheumatoid Arthritis and Depression Comorbidity

Jiaru Liu's research dataset, last updated in May 2026, identifies a nine-gene lipid–immune signature linked to comorbidity between rheumatoid arthritis and major depressive disorder. The 2.4 MB file contains results from integrated transcriptomic analysis of five MDD and five RA cohorts, validated with in vitro experiments. The dataset is shared under a CC-BY-4.0 license on figshare.

Use Cases

• Validating the nine-gene signature (ANXA3, IL18, CD59, TNFSF13B, BMX, WASF1, SLC8A1, COMMD8, NXT2) in independent RA or MDD cohorts.
• Investigating the correlation between the lipid–immune signature and immune cell infiltration in rheumatoid arthritis synovium.
• Exploring the proposed 'Lipid Metabolism – Membrane Microenvironment – Immune Inflammation' axis hypothesis for cross-disease pathology.
• Designing in vitro experiments to test the neuron-to-synovium paracrine axis using markers like CD59, IL-6, and MMP3.

Strengths

• Identifies a specific nine-gene signature validated across multiple independent RA cohorts with reported AUCs ranging from 0.86 to 1.00.
• Integrates data from ten distinct public transcriptomic cohorts (five MDD, five RA) for discovery and validation.
• Provides multi-level validation including bioinformatic prediction, clinical cohort correlation, and direct experimental evidence (qPCR, ELISA, Western blot).

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for large-scale machine learning.
• The dataset's primary format is a DOCX document, which may require parsing to extract structured data.

Provenance

Source

Jiaru Liu via figshare

Collection Method

Integrated analysis of public transcriptomic data from five MDD and five RA cohorts, followed by machine learning feature selection and in vitro experimental validation.

Freshness

Last updated 2026-05-26 06:02:01; freshness should be verified.