PubMed abstract / permitted excerpt

We believed that baseline serum metabolomic signatures can predict response to immunotherapies to identify which individuals will benefit most from treatment. We aimed to identify whether baseline serum metabolomic profiles can distinguish responders from nonresponders to teplizumab. Fifteen metabolites were identified as significantly different. Our findings suggest that baseline serum metabolomic signatures could be used to predict which newly diagnosed type 1 diabetes patients will respond to teplizumab, enabling more personalized treatment decisions.