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

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@article{87e20936191c4e0b8ea1ce4672371890,
title = "Translating big data to better treatment in bipolar disorder - a manifesto for coordinated action",
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.",
keywords = "Machine learning, Open science, Philanthropy, Precision medicine, Risk prediction",
author = "Mirko Manchia and Eduard Vieta and Smeland, {Olav B} and Cara Altimus and Andreas Bechdolf and Frank Bellivier and Veerle Bergink and Andrea Fagiolini and Geddes, {John R} and Tomas Hajek and Chantal Henry and Ralph Kupka and Lagerberg, {Trine V} and Licht, {Rasmus W} and Monica Martinez-Cengotitabengoa and Gunnar Morken and Nielsen, {Ren{\'e} E} and Pinto, {Ana Gonzalez} and Andreas Reif and Marcella Rietschel and Phillip Ritter and Schulze, {Thomas G} and Jan Scott and Emanuel Severus and Aysegul Yildiz and Kessing, {Lars Vedel} and Michael Bauer and Goodwin, {Guy M} and Andreassen, {Ole A} and {European College of Neuropsychopharmacology (ECNP) Bipolar Disorders Network}",
note = "Copyright {\circledC} 2020. Published by Elsevier B.V.",
year = "2020",
month = "7",
day = "1",
doi = "10.1016/j.euroneuro.2020.05.006",
language = "English",
volume = "36",
pages = "121--136",
journal = "European Neuropsychopharmacology",
issn = "0924-977X",
publisher = "Elsevier BV",

}

RIS

TY - JOUR

T1 - Translating big data to better treatment in bipolar disorder - a manifesto for coordinated action

AU - Manchia, Mirko

AU - Vieta, Eduard

AU - Smeland, Olav B

AU - Altimus, Cara

AU - Bechdolf, Andreas

AU - Bellivier, Frank

AU - Bergink, Veerle

AU - Fagiolini, Andrea

AU - Geddes, John R

AU - Hajek, Tomas

AU - Henry, Chantal

AU - Kupka, Ralph

AU - Lagerberg, Trine V

AU - Licht, Rasmus W

AU - Martinez-Cengotitabengoa, Monica

AU - Morken, Gunnar

AU - Nielsen, René E

AU - Pinto, Ana Gonzalez

AU - Reif, Andreas

AU - Rietschel, Marcella

AU - Ritter, Phillip

AU - Schulze, Thomas G

AU - Scott, Jan

AU - Severus, Emanuel

AU - Yildiz, Aysegul

AU - Kessing, Lars Vedel

AU - Bauer, Michael

AU - Goodwin, Guy M

AU - Andreassen, Ole A

AU - European College of Neuropsychopharmacology (ECNP) Bipolar Disorders Network

N1 - Copyright © 2020. Published by Elsevier B.V.

PY - 2020/7/1

Y1 - 2020/7/1

N2 - 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.

AB - 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.

KW - Machine learning

KW - Open science

KW - Philanthropy

KW - Precision medicine

KW - Risk prediction

UR - http://www.scopus.com/inward/record.url?scp=85086475356&partnerID=8YFLogxK

U2 - 10.1016/j.euroneuro.2020.05.006

DO - 10.1016/j.euroneuro.2020.05.006

M3 - Journal article

VL - 36

SP - 121

EP - 136

JO - European Neuropsychopharmacology

JF - European Neuropsychopharmacology

SN - 0924-977X

ER -

ID: 60949799