- Autoantibody biomarkers can be used to establish signatures for predicting if patients are likely to respond to treatment.
- These predictive signatures can also be used to identify patient populations likely to experience adverse events.
- Having the ability to interrogate hundreds of autoantibody targets in a single assay can help accelerate the identification and validation of signatures with high predictive value.
Accelerating discovery of autoantibody signatures.
Sengenics can help, with solutions to support discovery of biomarker signatures. Our high-density protein microarray assays enable highly specific and reproducible detection of disease-relevant autoantibodies directly from patient serum.
Related Study
Candidate Autoantibody Biomarkers for Anti-drug Antibodies in RA Patients
Candidate autoantibody biomarkers for the prediction of anti-drug antibody (ADAb) development in adalimumab treated rheumatoid arthritis patients. Heat map of autoantibody presence and hierarchical clustering for the presence or absence of anti-drug antibody and clinical response. Plasma samples were taken at baseline and post 24 weeks of adalimumab therapy. Autoantibody levels were measured in RFU and are represented on a color scale.
Source: Chen, P., et. al., Anti-TROVE2 Antibody Determined by Immune-Related Array May Serve as a Predictive Marker for Adalimumab Immunogenicity and Effectiveness in RA, Journal of Immunology Research (2021).