Integrated Causal Inference and Kidney Transcriptomics Data for Diabetic Kidney Disease

Mendelian randomization and kidney transcriptomic data from the GSE30529 study were integrated to investigate the role of the MLXIPL/ChREBP gene. The dataset, authored by Mingliang Liu and last updated in April 2026, includes results from two-sample MR, gene set enrichment analysis (GSEA), and experimental validation in db/db mice and primary PTECs. It is a 16.5 KB DOCX file shared under a CC-BY-4.0 license on figshare.

Use Cases

• Conducting causal inference analysis based on Mendelian randomization results for MLXIPL expression.
• Performing gene set enrichment analysis based on MLXIPL-high/low stratification within DKD transcriptomes.
• Validating network biology findings related to metabolic and profibrotic pathways.
• Comparing experimental results from db/db mice and high-glucose PTEC models with human genetic and transcriptomic data.

Strengths

• Integrates multiple analysis methods: Mendelian randomization, transcriptomic stratification, network analysis, and experimental validation.
• Includes replication in a non-diabetic stratum for urinary albumin-to-creatinine ratio (UACR) associations.
• Dataset is openly shared under a 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 16.5 KB file size suggests the dataset likely contains summary-level results or a manuscript, not raw experimental data.

Provenance

Source

figshare

Collection Method

Integrated analysis of public genetic and transcriptomic data (e.g., GSE30529) with original experimental validation.

Time Range

The study uses data from the GSE30529 kidney transcriptomics dataset; specific collection dates are not provided.

Freshness

Last updated 2026-04-15 05:43:04; freshness should be verified.

Geography

Spatial coverage is not specified, but the study involves human genetic data and mouse models.