Figure 1: The profile of control patients (blue) compared to those with long COVID (red) for different IgG subtypes and IgE
Our preliminary data (n=30, 2 groups) highlights differences for multiple IgG subclasses and IgE between controls and those suffering from long COVID; Figure 1.
On average, IgG1 appears lower, whilst IgG3, IgG4 and IgE are higher for long covid samples (red), compared to controls (blue).
Further information about these findings are available online, available here: Mass-Standardised IgG Response to Fourteen SARS-CoV-2 Spike Protein variants and Antibody Subclass analysis for IgG subclasses and IgE for a Long COVID Patient Cohort
The IgX map, therefore, can provide additional insights for underlying biological mechanisms that mean individuals are unable to clear the virus, driving the symptoms seen. In particular, it may provide a characterisation for those within the uncharacterised classification cohort.
Our test has an initial focus on IgG1 and IgG4 antibodies.
Accuracy
Reliable biomarkers provide precise health insights.
Convenience
Suitable for use in healthcare settings and at home.
Comprehensive
Covers a wide range of fertility health indicators.


