Article
Machine learning analyses of antibody somatic mutations predict immunoglobulin light chain toxicity.
Nature communications - 10 Jun 2021
Garofalo Maura, Piccoli Luca, Romeo Margherita, Barzago Maria Monica, Ravasio Sara, Foglierini Mathilde, Matkovic Milos, Sgrignani Jacopo, De Gasparo Raoul, Prunotto Marco, Varani Luca, Diomede Luisa, Michielin Olivier, Lanzavecchia Antonio, Cavalli Andrea
Abstract excerpt
In systemic light chain amyloidosis (AL), pathogenic monoclonal immunoglobulin light chains (LC) form toxic aggregates and amyloid fibrils in target organs. Prompt diagnosis is crucial to avoid permanent organ damage, but delayed diagnosis is common because symptoms usually appear only after strong organ involvement. Here we present LICTOR, a machine learning approach predicting LC toxicity in AL, based on the...
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