Post-COVID Syndrome Patient Data: Salivary IgA and Complement System Components

A 2026 study by Zhiwen Hai analyzes immune dysregulation in post-COVID syndrome patients compared to recovered controls. The dataset likely contains measurements of anti-Nucleocapsid secretory IgA in saliva and serum levels of complement components C3, C4, factor B, factor H, and CH50. It is shared under a CC-BY-4.0 license on figshare.

Use Cases

• Identifying candidate biomarkers for post-COVID syndrome based on salivary anti-Nucleocapsid IgA and C3 levels.
• Modeling immune dysregulation patterns using complement system component measurements.
• Analyzing correlations between serum antibody levels and complement factors in reinfected patients.

Strengths

• Includes a comparison cohort of COVID-recovered controls from Comunidad de Madrid, Spain.
• Focuses on specific, measurable immune parameters like secretory IgA and complement components.
• Released under a permissive CC-BY-4.0 license for reuse.

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 small in size (1003.8 KB), indicating limited scope.

Provenance

Source

figshare

Collection Method

Clinical study quantifying antibodies and complement components in patient cohorts.

Time Range

Study published in 2026; specific data collection period is not stated.

Freshness

Last updated 2026-05-14 08:45:52; freshness should be verified.

Geography

Patient cohort from Comunidad de Madrid, Spain.