PANDAS Autoantibody Screening Data from Nucleic Acid Protein Programmable Array

Jelena Eremija's dataset contains autoantibody screening results for Pediatric Autoimmune Neuropsychiatric Disorder Associated with Streptococcal Infections (PANDAS). The data was generated using a Nucleic Acid Protein Programmable Array (NAPPA) system, comparing children with PANDAS to patients with autism spectrum disorder and healthy controls. The dataset includes results from an initial screen identifying 1,235 non-overlapping protein targets and a secondary screen identifying 117 PANDAS-specific autoantibody targets.

Use Cases

• Identify potential autoimmune protein targets based on the 1,235 non-overlapping targets from the initial screen.
• Analyze the heterogeneity of autoantibody profiles based on the finding that 67.5% of PANDAS-positive targets were reactive in only a single patient.
• Evaluate diagnostic performance of protein panels based on the described failure to achieve reliable discrimination under cross-validation.
• Perform functional enrichment analysis based on the identified overrepresentation of transcription factors, apoptosis regulators, and neural development proteins.
• Compare autoantibody reactivity across neuropsychiatric conditions based on the shared reactivity between PANDAS and ASD groups.

Strengths

• The dataset is derived from an unbiased screening method (NAPPA) for protein-autoantibody interactions.
• The analysis includes comparisons across three distinct groups: PANDAS, autism spectrum disorder, and healthy controls.
• The dataset includes a specific count of 117 autoantibody targets exclusively detected in the PANDAS group.

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 (282.4 KB), indicating limited scope.

Provenance

Source

Jelena Eremija

Collection Method

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

Freshness

Last updated 2026-04-29 05:41:44; freshness should be verified.