Serum Indoxyl Sulfate ELISA Validation Data for CKD Risk Stratification

188 participant serum samples were analyzed to validate a competitive ELISA for indoxyl sulfate quantification. The dataset includes results from 79 low-risk and 109 high-risk CKD participants, with diagnostic performance metrics like an AUC of 0.96. The data was authored by Yi-Chou Hou and last updated on figshare in June 2026.

Use Cases

• Validate a new ELISA method for uremic toxin detection based on the described comparison with LC-MS/MS.
• Assess diagnostic performance for CKD risk stratification based on the reported sensitivity and specificity metrics.
• Study the correlation between serum indoxyl sulfate levels and CKD progression based on the participant cohort data.

Strengths

• Dataset includes results from 188 participants, split into low-risk (n=79) and high-risk (n=109) CKD groups.
• Validation shows high analytical concordance with a Pearson correlation coefficient of 0.964 between ELISA and LC-MS/MS methods.
• Diagnostic performance is quantified with an area under the curve of 0.96 and a specificity of 0.940.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset is very small at 30.7 KB, indicating limited scope.

Provenance

Source

figshare, author Yi-Chou Hou.

Collection Method

Serum samples analyzed using the Leadgene® IS ELISA Kit, with validation against LC-MS/MS.

Freshness

Last updated 2026-06-03 06:20:02; freshness should be verified.