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The Pharmacogenomics of Bipolar Disorder study (PGBD): identification of genes for lithium response in a prospective sample
BACKGROUND: Bipolar disorder is a serious and common psychiatric disorder characterized by manic and depressive mood switches and a relapsing and remitting course. The cornerstone of clinical management is stabilization and prophylaxis using mood-stabilizing medications to reduce both manic and depr...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4857276/ https://www.ncbi.nlm.nih.gov/pubmed/27150464 http://dx.doi.org/10.1186/s12888-016-0732-x |
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author | Oedegaard, Ketil J. Alda, Martin Anand, Anit Andreassen, Ole A. Balaraman, Yokesh Berrettini, Wade H. Bhattacharjee, Abesh Brennand, Kristen J. Burdick, Katherine E. Calabrese, Joseph R. Calkin, Cynthia V. Claasen, Ana Coryell, William H. Craig, David DeModena, Anna Frye, Mark Gage, Fred H. Gao, Keming Garnham, Julie Gershon, Elliot Jakobsen, Petter Leckband, Susan G. McCarthy, Michael J. McInnis, Melvin G. Maihofer, Adam X. Mertens, Jerome Morken, Gunnar Nievergelt, Caroline M. Nurnberger, John Pham, Son Schoeyen, Helle Shekhtman, Tatyana Shilling, Paul D. Szelinger, Szabolcs Tarwater, Bruce Yao, Jun Zandi, Peter P. Kelsoe, John R. |
author_facet | Oedegaard, Ketil J. Alda, Martin Anand, Anit Andreassen, Ole A. Balaraman, Yokesh Berrettini, Wade H. Bhattacharjee, Abesh Brennand, Kristen J. Burdick, Katherine E. Calabrese, Joseph R. Calkin, Cynthia V. Claasen, Ana Coryell, William H. Craig, David DeModena, Anna Frye, Mark Gage, Fred H. Gao, Keming Garnham, Julie Gershon, Elliot Jakobsen, Petter Leckband, Susan G. McCarthy, Michael J. McInnis, Melvin G. Maihofer, Adam X. Mertens, Jerome Morken, Gunnar Nievergelt, Caroline M. Nurnberger, John Pham, Son Schoeyen, Helle Shekhtman, Tatyana Shilling, Paul D. Szelinger, Szabolcs Tarwater, Bruce Yao, Jun Zandi, Peter P. Kelsoe, John R. |
author_sort | Oedegaard, Ketil J. |
collection | PubMed |
description | BACKGROUND: Bipolar disorder is a serious and common psychiatric disorder characterized by manic and depressive mood switches and a relapsing and remitting course. The cornerstone of clinical management is stabilization and prophylaxis using mood-stabilizing medications to reduce both manic and depressive symptoms. Lithium remains the gold standard of treatment with the strongest data for both efficacy and suicide prevention. However, many patients do not respond to this medication, and clinically there is a great need for tools to aid the clinician in selecting the correct treatment. Large genome wide association studies (GWAS) investigating retrospectively the effect of lithium response are in the pipeline; however, few large prospective studies on genetic predictors to of lithium response have yet been conducted. The purpose of this project is to identify genes that are associated with lithium response in a large prospective cohort of bipolar patients and to better understand the mechanism of action of lithium and the variation in the genome that influences clinical response. METHODS/DESIGN: This study is an 11-site prospective non-randomized open trial of lithium designed to ascertain a cohort of 700 subjects with bipolar I disorder who experience protocol-defined relapse prevention as a result of treatment with lithium monotherapy. All patients will be diagnosed using the Diagnostic Interview for Genetic Studies (DIGS) and will then enter a 2-year follow-up period on lithium monotherapy if and when they exhibit a score of 1 (normal, not ill), 2 (minimally ill) or 3 (mildly ill) on the Clinical Global Impressions of Severity Scale for Bipolar Disorder (CGI-S-BP Overall Bipolar Illness) for 4 of the 5 preceding weeks. Lithium will be titrated as clinically appropriate, not to exceed serum levels of 1.2 mEq/L. The sample will be evaluated longitudinally using a wide range of clinical scales, cognitive assessments and laboratory tests. On relapse, patients will be discontinued or crossed-over to treatment with valproic acid (VPA) or treatment as usual (TAU). Relapse is defined as a DSM-IV manic, major depressive or mixed episode or if the treating physician decides a change in medication is clinically necessary. The sample will be genotyped for GWAS. The outcome for lithium response will be analyzed as a time to event, where the event is defined as clinical relapse, using a Cox Proportional Hazards model. Positive single nucleotide polymorphisms (SNPs) from past genetic retrospective studies of lithium response, the Consortium on Lithium Genetics (ConLiGen), will be tested in this prospective study sample; a meta-analysis of these samples will then be performed. Finally, neurons will be derived from pluripotent stem cells from lithium responders and non-responders and tested in vivo for response to lithium by gene expression studies. SNPs in genes identified in these cellular studies will also be tested for association to response. DISCUSSION: Lithium is an extraordinarily important therapeutic drug in the clinical management of patients suffering from bipolar disorder. However, a significant proportion of patients, 30–40 %, fail to respond, and there is currently no method to identify the good lithium responders before initiation of treatment. Converging evidence suggests that genetic factors play a strong role in the variation of response to lithium, but only a few genes have been tested and the samples have largely been retrospective or quite small. The current study will collect an entirely unique sample of 700 patients with bipolar disorder to be stabilized on lithium monotherapy and followed for up to 2 years. This study will produce useful information to improve the understanding of the mechanism of action of lithium and will add to the development of a method to predict individual response to lithium, thereby accelerating recovery and reducing suffering and cost. TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT01272531 Registered: January 6, 2011 |
format | Online Article Text |
id | pubmed-4857276 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-48572762016-05-06 The Pharmacogenomics of Bipolar Disorder study (PGBD): identification of genes for lithium response in a prospective sample Oedegaard, Ketil J. Alda, Martin Anand, Anit Andreassen, Ole A. Balaraman, Yokesh Berrettini, Wade H. Bhattacharjee, Abesh Brennand, Kristen J. Burdick, Katherine E. Calabrese, Joseph R. Calkin, Cynthia V. Claasen, Ana Coryell, William H. Craig, David DeModena, Anna Frye, Mark Gage, Fred H. Gao, Keming Garnham, Julie Gershon, Elliot Jakobsen, Petter Leckband, Susan G. McCarthy, Michael J. McInnis, Melvin G. Maihofer, Adam X. Mertens, Jerome Morken, Gunnar Nievergelt, Caroline M. Nurnberger, John Pham, Son Schoeyen, Helle Shekhtman, Tatyana Shilling, Paul D. Szelinger, Szabolcs Tarwater, Bruce Yao, Jun Zandi, Peter P. Kelsoe, John R. BMC Psychiatry Study Protocol BACKGROUND: Bipolar disorder is a serious and common psychiatric disorder characterized by manic and depressive mood switches and a relapsing and remitting course. The cornerstone of clinical management is stabilization and prophylaxis using mood-stabilizing medications to reduce both manic and depressive symptoms. Lithium remains the gold standard of treatment with the strongest data for both efficacy and suicide prevention. However, many patients do not respond to this medication, and clinically there is a great need for tools to aid the clinician in selecting the correct treatment. Large genome wide association studies (GWAS) investigating retrospectively the effect of lithium response are in the pipeline; however, few large prospective studies on genetic predictors to of lithium response have yet been conducted. The purpose of this project is to identify genes that are associated with lithium response in a large prospective cohort of bipolar patients and to better understand the mechanism of action of lithium and the variation in the genome that influences clinical response. METHODS/DESIGN: This study is an 11-site prospective non-randomized open trial of lithium designed to ascertain a cohort of 700 subjects with bipolar I disorder who experience protocol-defined relapse prevention as a result of treatment with lithium monotherapy. All patients will be diagnosed using the Diagnostic Interview for Genetic Studies (DIGS) and will then enter a 2-year follow-up period on lithium monotherapy if and when they exhibit a score of 1 (normal, not ill), 2 (minimally ill) or 3 (mildly ill) on the Clinical Global Impressions of Severity Scale for Bipolar Disorder (CGI-S-BP Overall Bipolar Illness) for 4 of the 5 preceding weeks. Lithium will be titrated as clinically appropriate, not to exceed serum levels of 1.2 mEq/L. The sample will be evaluated longitudinally using a wide range of clinical scales, cognitive assessments and laboratory tests. On relapse, patients will be discontinued or crossed-over to treatment with valproic acid (VPA) or treatment as usual (TAU). Relapse is defined as a DSM-IV manic, major depressive or mixed episode or if the treating physician decides a change in medication is clinically necessary. The sample will be genotyped for GWAS. The outcome for lithium response will be analyzed as a time to event, where the event is defined as clinical relapse, using a Cox Proportional Hazards model. Positive single nucleotide polymorphisms (SNPs) from past genetic retrospective studies of lithium response, the Consortium on Lithium Genetics (ConLiGen), will be tested in this prospective study sample; a meta-analysis of these samples will then be performed. Finally, neurons will be derived from pluripotent stem cells from lithium responders and non-responders and tested in vivo for response to lithium by gene expression studies. SNPs in genes identified in these cellular studies will also be tested for association to response. DISCUSSION: Lithium is an extraordinarily important therapeutic drug in the clinical management of patients suffering from bipolar disorder. However, a significant proportion of patients, 30–40 %, fail to respond, and there is currently no method to identify the good lithium responders before initiation of treatment. Converging evidence suggests that genetic factors play a strong role in the variation of response to lithium, but only a few genes have been tested and the samples have largely been retrospective or quite small. The current study will collect an entirely unique sample of 700 patients with bipolar disorder to be stabilized on lithium monotherapy and followed for up to 2 years. This study will produce useful information to improve the understanding of the mechanism of action of lithium and will add to the development of a method to predict individual response to lithium, thereby accelerating recovery and reducing suffering and cost. TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT01272531 Registered: January 6, 2011 BioMed Central 2016-05-05 /pmc/articles/PMC4857276/ /pubmed/27150464 http://dx.doi.org/10.1186/s12888-016-0732-x Text en © Oedegaard et al. 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Study Protocol Oedegaard, Ketil J. Alda, Martin Anand, Anit Andreassen, Ole A. Balaraman, Yokesh Berrettini, Wade H. Bhattacharjee, Abesh Brennand, Kristen J. Burdick, Katherine E. Calabrese, Joseph R. Calkin, Cynthia V. Claasen, Ana Coryell, William H. Craig, David DeModena, Anna Frye, Mark Gage, Fred H. Gao, Keming Garnham, Julie Gershon, Elliot Jakobsen, Petter Leckband, Susan G. McCarthy, Michael J. McInnis, Melvin G. Maihofer, Adam X. Mertens, Jerome Morken, Gunnar Nievergelt, Caroline M. Nurnberger, John Pham, Son Schoeyen, Helle Shekhtman, Tatyana Shilling, Paul D. Szelinger, Szabolcs Tarwater, Bruce Yao, Jun Zandi, Peter P. Kelsoe, John R. The Pharmacogenomics of Bipolar Disorder study (PGBD): identification of genes for lithium response in a prospective sample |
title | The Pharmacogenomics of Bipolar Disorder study (PGBD): identification of genes for lithium response in a prospective sample |
title_full | The Pharmacogenomics of Bipolar Disorder study (PGBD): identification of genes for lithium response in a prospective sample |
title_fullStr | The Pharmacogenomics of Bipolar Disorder study (PGBD): identification of genes for lithium response in a prospective sample |
title_full_unstemmed | The Pharmacogenomics of Bipolar Disorder study (PGBD): identification of genes for lithium response in a prospective sample |
title_short | The Pharmacogenomics of Bipolar Disorder study (PGBD): identification of genes for lithium response in a prospective sample |
title_sort | pharmacogenomics of bipolar disorder study (pgbd): identification of genes for lithium response in a prospective sample |
topic | Study Protocol |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4857276/ https://www.ncbi.nlm.nih.gov/pubmed/27150464 http://dx.doi.org/10.1186/s12888-016-0732-x |
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