ASPIRE: Advanced stratification of people with depression based on Inflammation
Grantholders
Prof Carmine Pariante
King's College London, United Kingdom
Dr Benedetta Vai
Default Community Account
Dr Femke Lamers
Amsterdam UMC, Netherlands
Dr Giulia Lombardo
Default Community Account
Miss Courtney Worrell
King's College London, United Kingdom
Prof Francesco Benedetti
Default Community Account
Dr Jennifer Felger
Emory University, United States
Prof Brenda Penninx
University of Amsterdam, Netherlands
Prof dr Bernhard Baune
Default Community Account
Prof Stefan Gold
Charité - Universitätsmedizin Berlin, Germany
Prof Valeria Mondelli
King's College London, United Kingdom
Prof Andrew Miller
Emory University, United States
Prof Dan Stein
University of Cape Town, South Africa
Ms Fanni-Laura Mäntylä
Default Community Account
Prof Annamaria Cattaneo
Default Community Account
Prof Marion Leboyer
IND Marion Leboyer 31204
Prof dr Livia De Picker
University of Antwerp, Belgium
Mr Erik Van der Eycken
Default Community Account
Project summary
There is a high risk that the mental health field is foregoing the opportunity to use anti-inflammatory medications in depression, because of the lack of studies that target the right people by stratifying them based on inflammatory markers. This study, co-designed with people with lived experience (PWLE) of depression, will: (1) Identify, in existing clinical trials of anti-inflammatories in major depressive disorder (MDD), a set of hypothesis-driven, inflammation-related, clinical, blood, and neuroimaging stratification markers that accurately predict depression response; (2) Use machine-learning to generate a decision tool that identifies depressed people who will respond to anti-inflammatories medications and thus could access these drugs as early intervention; (3) Assess the feasibility and acceptability of the tool in a proof-of-concept, open-labelled, stratified prospective study, delivered in Europe, the USA and South Africa; (4) Explore PWLE’s views regarding the role of inflammation in depression; and (5) Produce scientific publications, conference presentations and public engagement outputs (blogs, podcasts, social media campaigns) describing the outcomes and impact of the study. Our study, bringing together n=10 existing trials led by PIs/collaborators (n>1200 people with depression) and n=250 newly recruited individuals, will lead to innovative personalized treatments and early interventions for depression according to patients’ stratification markers.