This research aims to explore the connections between healthy sleep, proteomic profiles, and the risk of depression, while considering genetic influences.
Analyzed plasma proteomic data from an adult cohort
Examined sleep patterns and their quality
Evaluated the association with depression incidence
Controlled for genetic risk factors
Healthy sleep patterns correlate with distinct proteomic signatures
Participants with healthier sleep showed lower rates of depression
Proteomic data indicate potential biomarkers for depression prevention
Genetic risk factors modulated the associations observed
Abstract
Healthy sleep patterns and their plasma proteomic signature are associated with reduced depression risk, highlighting targets for prevention and mechanistic research.