Translating big data to better treatment in bipolar disorder - a manifesto for coordinated action

Publikation: Beitrag in FachzeitschriftForschungsartikelBeigetragenBegutachtung

Beitragende

  • for the European College of Neuropsychopharmacology (ECNP) Bipolar Disorders Network - (Autor:in)
  • Klinik und Poliklinik für Psychiatrie und Psychotherapie
  • Università degli Studi di Cagliari
  • University Hospital of Cagliari
  • Dalhousie University
  • Universitat de Barcelona
  • University of Oslo
  • Milken Family Foundation
  • Charité – Universitätsmedizin Berlin
  • Universität zu Köln
  • ORYGEN Youth Health
  • Université Paris Cité
  • Assistance publique – Hôpitaux de Paris
  • Erasmus University Rotterdam
  • Icahn School of Medicine at Mount Sinai
  • University of Siena
  • University of Oxford
  • Národní ústav duševního zdraví
  • Service Hospitalo-Universitaire
  • Vrije Universiteit Amsterdam (VU)
  • Aalborg University
  • CIBER - Centro de Investigación Biomédica en Red
  • Norwegian University of Science and Technology
  • Universitätsklinikum Frankfurt
  • Universität Heidelberg
  • Universitätsklinikum Carl Gustav Carus Dresden
  • Ludwig-Maximilians-Universität München (LMU)
  • Johns Hopkins University
  • SUNY Upstate Medical University
  • Newcastle University
  • Dokuz Eylul University
  • Universität Kopenhagen

Abstract

Bipolar disorder (BD) is a major healthcare and socio-economic challenge. Despite its substantial burden on society, the research activity in BD is much smaller than its economic impact appears to demand. There is a consensus that the accurate identification of the underlying pathophysiology for BD is fundamental to realize major health benefits through better treatment and preventive regimens. However, to achieve these goals requires coordinated action and innovative approaches to boost the discovery of the neurobiological underpinnings of BD, and rapid translation of research findings into development and testing of better and more specific treatments. To this end, we here propose that only a large-scale coordinated action can be successful in integrating international big-data approaches with real-world clinical interventions. This could be achieved through the creation of a Global Bipolar Disorder Foundation, which could bring government, industry and philanthropy together in common cause. A global initiative for BD research would come at a highly opportune time given the seminal advances promised for our understanding of the genetic and brain basis of the disease and the obvious areas of unmet clinical need. Such an endeavour would embrace the principles of open science and see the strong involvement of user groups and integration of dissemination and public involvement with the research programs. We believe the time is right for a step change in our approach to understanding, treating and even preventing BD effectively.

Details

OriginalspracheEnglisch
Seiten (von - bis)121-136
Seitenumfang16
FachzeitschriftEuropean neuropsychopharmacology
Jahrgang36
PublikationsstatusVeröffentlicht - Juli 2020
Peer-Review-StatusJa

Externe IDs

PubMed 32536571
ORCID /0000-0003-4286-5830/work/149796268
ORCID /0000-0002-2666-859X/work/149797551

Schlagworte

Ziele für nachhaltige Entwicklung

Schlagwörter

  • Machine learning, Open science, Philanthropy, Precision medicine, Risk prediction