A Multi-Phenotype System to Discover Therapies for Age-Related Dysregulation of the Immune Response to Viral Infections

摘要: ABSTRACT Age-related immune dysregulation contributes to increased susceptibility infection and disease in older adults. We combined high-throughput laboratory automation with machine learning build a multi-phenotype aging profile that models the dysfunctional response viral From single well, our can capture changes cell composition, physical cell-to-cell interaction, organelle structure, cytokines, other hidden complexities contributing age-related dysfunction. This system allows for rapid identification of new potential compounds rejuvenate adults’ response. used technology screen thousands their ability make old cells respond like young cells. observed beneficial effects multiple compounds, which two most promising were disulfiram triptonide. Our findings indicate could be considered as treatment severe coronavirus 2019 inflammatory infections.