Hemodialysis Patient Gene Expression and Serum Cytokine Data from a 12-Month Cohort Study

A prospective cohort study of 10 prevalent hemodialysis patients evaluates transcriptomic and inflammatory marker changes over 12 months. The dataset contains RNA sequencing results for 43 genes and Luminex assay measurements for serum cytokines like TNF-α, CCL4, CCL2, MMP-9, and IL-10. The supplementary material was authored by figshare admin karger and published in April 2026.

Use Cases

• Analyze differential expression of TNF and CCL4 genes from PBMC RNA sequencing data after a 12-month intervention.
• Model changes in serum cytokine levels, such as TNF-α, CCL4, CCL2, MMP-9, and IL-10, using paired statistical tests.
• Correlate PBMC transcriptome upregulation with circulating inflammatory marker declines to study immune dysregulation.
• Compare baseline biomarker levels on standard high-flux hemodialysis with levels after 12 months on high-efficiency HDx.

Strengths

• Includes paired measurements for 10 patients at baseline and after 12 months.
• Analyzes 43 genes for differential expression and quantifies multiple serum cytokines.
• Provides specific p-values and concentration changes for key markers like TNF-α and MMP-9.

Limitations

• Small sample size of 10 patients limits statistical power and generalizability.
• Data is from a single-center pilot study, introducing potential geographic and clinical bias.
• The 9.6 MB file size suggests a limited scope, likely containing summary results rather than raw sequencing data.

Provenance

Source

figshare admin karger

Collection Method

PBMC RNA sequencing by Macrogen and serum cytokine quantification by bead-based multiplex immunoassay on the Luminex platform.

Time Range

12-month study period.

Freshness

Last updated in April 2026.

Geography

Single-center study; location unspecified.