Prospective cohort study of early biosignatures of response to lithium in bipolar-I-disorders: overview of the H2020-funded R-LiNK initiative
- Publikationstyp:
- Zeitschriftenaufsatz
- Metadaten:
-
- Autoren
- Jan Scott
- Diego Hidalgo-Mazzei
- Rebecca Strawbridge
- Allan Young
- Matthieu Resche-Rigon
- Bruno Etain
- Ole A Andreassen
- Michael Bauer
- Djamila Bennabi
- Andrew M Blamire
- Fawzi Boumezbeur
- Paolo Brambilla
- Nadia Cattane
- Annamaria Cattaneo
- Marie Chupin
- Klara Coello
- Yann Cointepas
- Francesc Colom
- David A Cousins
- Caroline Dubertret
- Edouard Duchesnay
- Adele Ferro
- Aitana Garcia-Estela
- Jose Goikolea
- Antoine Grigis
- Emmanuel Haffen
- Margrethe C Hoegh
- Petter Jakobsen
- Janos L Kalman
- Lars V Kessing
- Farah Klohn-Saghatolislam
- Trine V Lagerberg
- Mikael Landen
- Ute Lewitzka
- Ashley Lutticke
- Nicolas Mazer
- Monica Mazzelli
- Cristina Mora
- Thorsten Muller
- Estanislao Mur-Mila
- Ketil Joachim Oedegaard
- Leif Oltedal
- Erik Palsson
- Dimitri Papadopoulos Orfanos
- Sergi Papiol
- Victor Perez-Sola
- Andreas Reif
- Philipp Ritter
- Roberto Rossi
- Thomas Schulze
- Fanny Senner
- Fiona E Smith
- Letizia Squarcina
- Nils Eiel Steen
- Pete E Thelwall
- Cristina Varo
- Eduard Vieta
- Maj Vinberg
- Michele Wessa
- Lars T Westlye
- Frank Bellivier
- Autoren-URL
- https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=fis-test-1&SrcAuth=WosAPI&KeyUT=WOS:000487604000001&DestLinkType=FullRecord&DestApp=WOS_CPL
- DOI
- 10.1186/s40345-019-0156-x
- Externe Identifier
- Clarivate Analytics Document Solution ID: JA1UV
- PubMed Identifier: 31552554
- ISSN
- 2194-7511
- Ausgabe der Veröffentlichung
- 1
- Zeitschrift
- INTERNATIONAL JOURNAL OF BIPOLAR DISORDERS
- Schlüsselwörter
- Bipolar
- Precision
- Personalization
- Lithium
- Response
- Phenotype
- Digital
- Actigraphy
- Omics
- Neuroimaging
- Artikelnummer
- ARTN 20
- Datum der Veröffentlichung
- 2019
- Status
- Published
- Titel
- Prospective cohort study of early biosignatures of response to lithium in bipolar-I-disorders: overview of the H2020-funded R-LiNK initiative
- Sub types
- Review
- Ausgabe der Zeitschrift
- 7
Datenquelle: Web of Science (Lite)
- Andere Metadatenquellen:
-
- Abstract
- <jats:title>Abstract</jats:title> <jats:sec> <jats:title>Background</jats:title> <jats:p>Lithium is recommended as a first line treatment for bipolar disorders. However, only 30% of patients show an optimal outcome and variability in lithium response and tolerability is poorly understood. It remains difficult for clinicians to reliably predict which patients will benefit without recourse to a lengthy treatment trial. Greater precision in the early identification of individuals who are likely to respond to lithium is a significant unmet clinical need.</jats:p> </jats:sec> <jats:sec> <jats:title>Structure</jats:title> <jats:p>The H2020-funded Response to Lithium Network (R-LiNK; <jats:ext-link xmlns:xlink="http://www.w3.org/1999/xlink" ext-link-type="uri" xlink:href="http://www.r-link.eu.com/">http://www.r-link.eu.com/</jats:ext-link>) will undertake a prospective cohort study of over 300 individuals with bipolar-I-disorder who have agreed to commence a trial of lithium treatment following a recommendation by their treating clinician. The study aims to examine the early prediction of lithium response, non-response and tolerability by combining systematic clinical syndrome subtyping with examination of multi-modal biomarkers (or biosignatures), including omics, neuroimaging, and actigraphy, etc. Individuals will be followed up for 24 months and an independent panel will assess and classify each participants’ response to lithium according to predefined criteria that consider evidence of relapse, recurrence, remission, changes in illness activity or treatment failure (e.g. stopping lithium; new prescriptions of other mood stabilizers) and exposure to lithium. Novel elements of this study include the recruitment of a large, multinational, clinically representative sample specifically for the purpose of studying candidate biomarkers and biosignatures; the application of lithium-7 magnetic resonance imaging to explore the distribution of lithium in the brain; development of a digital phenotype (using actigraphy and ecological momentary assessment) to monitor daily variability in symptoms; and economic modelling of the cost-effectiveness of introducing biomarker tests for the customisation of lithium treatment into clinical practice. Also, study participants with sub-optimal medication adherence will be offered brief interventions (which can be delivered via a clinician or smartphone app) to enhance treatment engagement and to minimize confounding of lithium non-response with non-adherence.</jats:p> </jats:sec> <jats:sec> <jats:title>Conclusions</jats:title> <jats:p>The paper outlines the rationale, design and methodology of the first study being undertaken by the newly established R-LiNK collaboration and describes how the project may help to refine the clinical response phenotype and could translate into the personalization of lithium treatment.</jats:p> </jats:sec>
- Autoren
- Jan Scott
- Diego Hidalgo-Mazzei
- Rebecca Strawbridge
- Allan Young
- Matthieu Resche-Rigon
- Bruno Etain
- Ole A Andreassen
- Michael Bauer
- Djamila Bennabi
- Andrew M Blamire
- Fawzi Boumezbeur
- Paolo Brambilla
- Nadia Cattane
- Annamaria Cattaneo
- Marie Chupin
- Klara Coello
- Yann Cointepas
- Francesc Colom
- David A Cousins
- Caroline Dubertret
- Edouard Duchesnay
- Adele Ferro
- Aitana Garcia-Estela
- Jose Goikolea
- Antoine Grigis
- Emmanuel Haffen
- Margrethe C Høegh
- Petter Jakobsen
- Janos L Kalman
- Lars V Kessing
- Farah Klohn-Saghatolislam
- Trine V Lagerberg
- Mikael Landén
- Ute Lewitzka
- Ashley Lutticke
- Nicolas Mazer
- Monica Mazzelli
- Cristina Mora
- Thorsten Muller
- Estanislao Mur-Mila
- Ketil Joachim Oedegaard
- Leif Oltedal
- Erik Pålsson
- Dimitri Papadopoulos Orfanos
- Sergi Papiol
- Victor Perez-Sola
- Andreas Reif
- Philipp Ritter
- Roberto Rossi
- Thomas Schulze
- Fanny Senner
- Fiona E Smith
- Letizia Squarcina
- Nils Eiel Steen
- Pete E Thelwall
- Cristina Varo
- Eduard Vieta
- Maj Vinberg
- Michele Wessa
- Lars T Westlye
- Frank Bellivier
- DOI
- 10.1186/s40345-019-0156-x
- eISSN
- 2194-7511
- Ausgabe der Veröffentlichung
- 1
- Zeitschrift
- International Journal of Bipolar Disorders
- Sprache
- en
- Artikelnummer
- 20
- Online publication date
- 2019
- Datum der Veröffentlichung
- 2019
- Status
- Published
- Herausgeber
- Springer Science and Business Media LLC
- Herausgeber URL
- http://dx.doi.org/10.1186/s40345-019-0156-x
- Datum der Datenerfassung
- 2020
- Titel
- Prospective cohort study of early biosignatures of response to lithium in bipolar-I-disorders: overview of the H2020-funded R-LiNK initiative
- Ausgabe der Zeitschrift
- 7
Datenquelle: Crossref
- Abstract
- <h4>Background</h4>Lithium is recommended as a first line treatment for bipolar disorders. However, only 30% of patients show an optimal outcome and variability in lithium response and tolerability is poorly understood. It remains difficult for clinicians to reliably predict which patients will benefit without recourse to a lengthy treatment trial. Greater precision in the early identification of individuals who are likely to respond to lithium is a significant unmet clinical need.<h4>Structure</h4>The H2020-funded Response to Lithium Network (R-LiNK; http://www.r-link.eu.com/ ) will undertake a prospective cohort study of over 300 individuals with bipolar-I-disorder who have agreed to commence a trial of lithium treatment following a recommendation by their treating clinician. The study aims to examine the early prediction of lithium response, non-response and tolerability by combining systematic clinical syndrome subtyping with examination of multi-modal biomarkers (or biosignatures), including omics, neuroimaging, and actigraphy, etc. Individuals will be followed up for 24 months and an independent panel will assess and classify each participants' response to lithium according to predefined criteria that consider evidence of relapse, recurrence, remission, changes in illness activity or treatment failure (e.g. stopping lithium; new prescriptions of other mood stabilizers) and exposure to lithium. Novel elements of this study include the recruitment of a large, multinational, clinically representative sample specifically for the purpose of studying candidate biomarkers and biosignatures; the application of lithium-7 magnetic resonance imaging to explore the distribution of lithium in the brain; development of a digital phenotype (using actigraphy and ecological momentary assessment) to monitor daily variability in symptoms; and economic modelling of the cost-effectiveness of introducing biomarker tests for the customisation of lithium treatment into clinical practice. Also, study participants with sub-optimal medication adherence will be offered brief interventions (which can be delivered via a clinician or smartphone app) to enhance treatment engagement and to minimize confounding of lithium non-response with non-adherence.<h4>Conclusions</h4>The paper outlines the rationale, design and methodology of the first study being undertaken by the newly established R-LiNK collaboration and describes how the project may help to refine the clinical response phenotype and could translate into the personalization of lithium treatment.
- Addresses
- Institute of Neuroscience, Newcastle University, Newcastle upon Tyne, UK.
- Autoren
- Jan Scott
- Diego Hidalgo-Mazzei
- Rebecca Strawbridge
- Allan Young
- Matthieu Resche-Rigon
- Bruno Etain
- Ole A Andreassen
- Michael Bauer
- Djamila Bennabi
- Andrew M Blamire
- Fawzi Boumezbeur
- Paolo Brambilla
- Nadia Cattane
- Annamaria Cattaneo
- Marie Chupin
- Klara Coello
- Yann Cointepas
- Francesc Colom
- David A Cousins
- Caroline Dubertret
- Edouard Duchesnay
- Adele Ferro
- Aitana Garcia-Estela
- Jose Goikolea
- Antoine Grigis
- Emmanuel Haffen
- Margrethe C Høegh
- Petter Jakobsen
- Janos L Kalman
- Lars V Kessing
- Farah Klohn-Saghatolislam
- Trine V Lagerberg
- Mikael Landén
- Ute Lewitzka
- Ashley Lutticke
- Nicolas Mazer
- Monica Mazzelli
- Cristina Mora
- Thorsten Muller
- Estanislao Mur-Mila
- Ketil Joachim Oedegaard
- Leif Oltedal
- Erik Pålsson
- Dimitri Papadopoulos Orfanos
- Sergi Papiol
- Victor Perez-Sola
- Andreas Reif
- Philipp Ritter
- Roberto Rossi
- Thomas Schulze
- Fanny Senner
- Fiona E Smith
- Letizia Squarcina
- Nils Eiel Steen
- Pete E Thelwall
- Cristina Varo
- Eduard Vieta
- Maj Vinberg
- Michele Wessa
- Lars T Westlye
- Frank Bellivier
- DOI
- 10.1186/s40345-019-0156-x
- eISSN
- 2194-7511
- Externe Identifier
- PubMed Identifier: 31552554
- PubMed Central ID: PMC6760458
- Funding acknowledgements
- Medical Research Council: MR/L006642/1
- H2020 Research and Innovation Program (EU.3.1.1. Understanding health, wellbeing and disease: Grant No 754907): 754907
- H2020 Research and Innovation Program: 754907
- National Institute for Health Research (NIHR): NF-SI-0616-10091
- Open access
- true
- ISSN
- 2194-7511
- Ausgabe der Veröffentlichung
- 1
- Zeitschrift
- International journal of bipolar disorders
- Sprache
- eng
- Medium
- Electronic
- Online publication date
- 2019
- Open access status
- Open Access
- Paginierung
- 20
- Datum der Veröffentlichung
- 2019
- Status
- Published
- Publisher licence
- CC BY
- Datum der Datenerfassung
- 2019
- Titel
- Prospective cohort study of early biosignatures of response to lithium in bipolar-I-disorders: overview of the H2020-funded R-LiNK initiative.
- Sub types
- review-article
- Review
- Journal Article
- Ausgabe der Zeitschrift
- 7
Files
https://journalbipolardisorders.springeropen.com/track/pdf/10.1186/s40345-019-0156-x https://europepmc.org/articles/PMC6760458?pdf=render
Datenquelle: Europe PubMed Central
- Abstract
- BACKGROUND: Lithium is recommended as a first line treatment for bipolar disorders. However, only 30% of patients show an optimal outcome and variability in lithium response and tolerability is poorly understood. It remains difficult for clinicians to reliably predict which patients will benefit without recourse to a lengthy treatment trial. Greater precision in the early identification of individuals who are likely to respond to lithium is a significant unmet clinical need. STRUCTURE: The H2020-funded Response to Lithium Network (R-LiNK; http://www.r-link.eu.com/ ) will undertake a prospective cohort study of over 300 individuals with bipolar-I-disorder who have agreed to commence a trial of lithium treatment following a recommendation by their treating clinician. The study aims to examine the early prediction of lithium response, non-response and tolerability by combining systematic clinical syndrome subtyping with examination of multi-modal biomarkers (or biosignatures), including omics, neuroimaging, and actigraphy, etc. Individuals will be followed up for 24 months and an independent panel will assess and classify each participants' response to lithium according to predefined criteria that consider evidence of relapse, recurrence, remission, changes in illness activity or treatment failure (e.g. stopping lithium; new prescriptions of other mood stabilizers) and exposure to lithium. Novel elements of this study include the recruitment of a large, multinational, clinically representative sample specifically for the purpose of studying candidate biomarkers and biosignatures; the application of lithium-7 magnetic resonance imaging to explore the distribution of lithium in the brain; development of a digital phenotype (using actigraphy and ecological momentary assessment) to monitor daily variability in symptoms; and economic modelling of the cost-effectiveness of introducing biomarker tests for the customisation of lithium treatment into clinical practice. Also, study participants with sub-optimal medication adherence will be offered brief interventions (which can be delivered via a clinician or smartphone app) to enhance treatment engagement and to minimize confounding of lithium non-response with non-adherence. CONCLUSIONS: The paper outlines the rationale, design and methodology of the first study being undertaken by the newly established R-LiNK collaboration and describes how the project may help to refine the clinical response phenotype and could translate into the personalization of lithium treatment.
- Date of acceptance
- 2019
- Autoren
- Jan Scott
- Diego Hidalgo-Mazzei
- Rebecca Strawbridge
- Allan Young
- Matthieu Resche-Rigon
- Bruno Etain
- Ole A Andreassen
- Michael Bauer
- Djamila Bennabi
- Andrew M Blamire
- Fawzi Boumezbeur
- Paolo Brambilla
- Nadia Cattane
- Annamaria Cattaneo
- Marie Chupin
- Klara Coello
- Yann Cointepas
- Francesc Colom
- David A Cousins
- Caroline Dubertret
- Edouard Duchesnay
- Adele Ferro
- Aitana Garcia-Estela
- Jose Goikolea
- Antoine Grigis
- Emmanuel Haffen
- Margrethe C Høegh
- Petter Jakobsen
- Janos L Kalman
- Lars V Kessing
- Farah Klohn-Saghatolislam
- Trine V Lagerberg
- Mikael Landén
- Ute Lewitzka
- Ashley Lutticke
- Nicolas Mazer
- Monica Mazzelli
- Cristina Mora
- Thorsten Muller
- Estanislao Mur-Mila
- Ketil Joachim Oedegaard
- Leif Oltedal
- Erik Pålsson
- Dimitri Papadopoulos Orfanos
- Sergi Papiol
- Victor Perez-Sola
- Andreas Reif
- Philipp Ritter
- Roberto Rossi
- Thomas Schulze
- Fanny Senner
- Fiona E Smith
- Letizia Squarcina
- Nils Eiel Steen
- Pete E Thelwall
- Cristina Varo
- Eduard Vieta
- Maj Vinberg
- Michele Wessa
- Lars T Westlye
- Frank Bellivier
- Autoren-URL
- https://www.ncbi.nlm.nih.gov/pubmed/31552554
- DOI
- 10.1186/s40345-019-0156-x
- Externe Identifier
- PubMed Central ID: PMC6760458
- Funding acknowledgements
- Medical Research Council: MR/L006642/1
- H2020 Research and Innovation Program (EU.3.1.1. Understanding health, wellbeing and disease: Grant No 754907): 754907
- ISSN
- 2194-7511
- Ausgabe der Veröffentlichung
- 1
- Zeitschrift
- Int J Bipolar Disord
- Schlüsselwörter
- Actigraphy
- Bipolar
- Digital
- Lithium
- Neuroimaging
- Omics
- Personalization
- Phenotype
- Precision
- Response
- Sprache
- eng
- Country
- Germany
- Paginierung
- 20
- PII
- 10.1186/s40345-019-0156-x
- Datum der Veröffentlichung
- 2019
- Status
- Published online
- Titel
- Prospective cohort study of early biosignatures of response to lithium in bipolar-I-disorders: overview of the H2020-funded R-LiNK initiative.
- Sub types
- Journal Article
- Review
- Ausgabe der Zeitschrift
- 7
Datenquelle: PubMed
- Beziehungen:
- Eigentum von