NAPPA Autoantibody Screening Data for Pediatric Autoimmune Neuropsychiatric Disorder

Jelena Eremija published this dataset on figshare in April 2026. It contains results from an unbiased autoantibody screening study for Pediatric Autoimmune Neuropsychiatric Disorder Associated with Streptococcal Infections (PANDAS). The data likely includes protein target reactivity profiles comparing PANDAS patients to autism spectrum disorder and healthy control groups.

Use Cases

• Identify potential autoimmune targets in PANDAS based on the 1,235 non-overlapping protein targets mentioned.
• Analyze the heterogeneity of autoantibody profiles based on the finding that 67.5% of targets were reactive in only a single patient.
• Perform functional enrichment analysis based on the described categories of transcription factors, apoptosis regulators, and chromatin modifiers.
• Evaluate the diagnostic utility of autoantibody signatures for neuropsychiatric conditions based on the described cross-validation results.

Strengths

• The dataset is derived from a specific protein expression system (NAPPA) for unbiased screening.
• The description provides specific quantitative findings, such as 1,235 initial targets and 117 PANDAS-specific targets.
• The dataset is openly licensed under CC-BY-4.0.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is very small (22.5 KB), indicating limited scope.

Provenance

Source

figshare

Collection Method

Unbiased screening using the Nucleic Acid Protein Programmable Array (NAPPA) system.

Freshness

Last updated 2026-04-29 05:41:45; freshness should be verified.