Identifying causative mechanisms linking early-life stress to psycho-cardio-metabolic multi-morbidity: The EarlyCause project.
Nicole MarianiAlessandra BorsiniCharlotte A M CecilJanine F FelixSylvain SebertAnnamaria CattaneoEsther WaltonYuri MilaneschiGuy CochraneClara AmidJeena RajanJuliette GiacobbeYolanda SanzAna AgustíTania SorgYann HeraultJouko MiettunenPriyanka ParmarNadia CattaneVincent JaddoeJyrki LötjönenCarme BuisanMiguel A González BallesterGemma PiellaJosep L GelpiFemke LamersBrenda W J H PenninxHenning TiemeierMalte von TottlebenRainer ThielKatharina F HeilMarjo-Riitta JärvelinCarmine ParianteIsabelle M MansuyKarim LekadirPublished in: PloS one (2021)
This paper describes the study protocol for EarlyCause, a large-scale and inter-disciplinary research project funded by the European Union's Horizon 2020 research and innovation programme. The project takes advantage of human longitudinal birth cohort data, animal studies and cellular models to test the hypothesis of shared mechanisms and molecular pathways by which ELS shapes an individual's physical and mental health in adulthood. The study will research in detail how ELS converts into biological signals embedded simultaneously or sequentially in the brain, the cardiovascular and metabolic systems. The research will mainly focus on four biological processes including possible alterations of the epigenome, neuroendocrine system, inflammatome, and the gut microbiome. Life-course models will integrate the role of modifying factors as sex, socioeconomics, and lifestyle with the goal to better identify groups at risk as well as inform promising strategies to reverse the possible mechanisms and/or reduce the impact of ELS on multi-morbidity development in high-risk individuals. These strategies will help better manage the impact of multi-morbidity on human health and the associated risk.
Keyphrases
- early life
- mental health
- human health
- quality improvement
- risk assessment
- physical activity
- endothelial cells
- dna methylation
- depressive symptoms
- randomized controlled trial
- cardiovascular disease
- metabolic syndrome
- weight loss
- white matter
- climate change
- machine learning
- big data
- case control
- electronic health record
- brain injury
- gene expression
- mental illness
- resting state
- study protocol
- multiple sclerosis