AI Identifies Pre-existing Antimicrobial Antibody Profile That May Predict Immune Response to Vaccination
Researchers analyzing antibody profiles in thousands of individuals have discovered that pre-existing antibodies to common microbes can predict the strength of new vaccine responses. The post AI Identifies Pre-existing Antimicrobial Antibody Profile That May Predict Immune Response to Vaccination appeared first on GEN - Genetic Engineering and Biotechnology News .
A team of researchers at Arizona State University has discovered a potential way to predict how well someone will respond to a vaccine. The study, published in Cell Press Blue, analyzed antibody profiles of 4,000 individuals, both healthy and immunosuppressed, before and after COVID-19 vaccination. The researchers used artificial intelligence to identify "sentinel antibodies" that consistently predicted strong or weak vaccine responses.
These sentinel antibodies are pre-existing antibodies to common microbes that may represent biomarkers of immune responsiveness to vaccination. Lead researcher Joshua LaBaer stated that the findings suggest some individuals may be more immune-ready than others, providing a potential biomarker for vaccine response before immunization.
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