Project: Temporal disease map based stratification of depression-related multimorbidities: towards quantitative investigations of patient trajectories and predictions of multi-target drug candidates
| Acronym | TRAJECTOME (Reference Number: ERAPERMED2019-108) |
| Duration | 01/04/2020 - 31/03/2023 |
| Project Topic | Depression is frequently comorbid with other psychiatric and somatic disorders resulting in extensive use of diverse pharmacological treatments, decreased quality of life and increased mortality rate. Nonetheless, comorbidities may inform us about the different biological pathways leading to and active in depression and thus can guide personalized medicine. In this project we aim to apply advanced machine learning methods with existing data sets from public health and biobanks to stratify depression-related multimorbidities using complete clinical patient trajectories, medication history and genome-wide polymorphism data. We will 1) construct a temporal disease map to identify clusters of patient trajectories; 2) determine the genetic, metabolic and environmental risk profile, including the role of sex and social inequalities, within trajectories, and 3) investigate the multimorbidity-adjusted burden of disease along these trajectories. Additionally, 4) we will perform in silico screening of multi-target drug candidates using the polypharmacy, genetic, and multimorbidity profiles of the trajectory classes. Our approach would be the first to stratify depression using full longitudinal multimorbidity profile, medication history and genome-wide polymorphisms data. These strata of the depression-related multimorbidity trajectome will allow the development of a multimorbidity-adjusted disability score (MADS) for quantitative comparison of these strata and for health risk assessment, and the application of chemoinformatics methods to explore new and more efficient drug candidates that minimize side-effects, drug-drug interactions, and polypharmacy. This work will benefit from a collaboration of clinical epidemiologists, neuroscientists, pharmacologists and bioinformatics/chemoinformatics experts by integrating big data and ICT solutions to enhance translation of basic research to personalised medicine. |
| Network | ERA PerMed |
| Call | 2nd Joint Transnational Call for Proposals (2019) |
Project partner
| Number | Name | Role | Country |
|---|---|---|---|
| 1 | Semmelweis University (SE) | Coordinator | Hungary |
| 2 | Abiomics Europe Ltd. | Partner | Hungary |
| 3 | National Institute for Health and Welfare (THL) | Partner | Finland |
| 4 | Institut d’Investigacions Biomèdiques August Pi i Sunyer, IDIBAPS - Hospital Clinic de Barcelona | Partner | Spain |
| 5 | University Medicine Greifswald (UMG) | Partner | Germany |