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The impact of genetics on future drug discovery in schizophrenia.
Matsumoto, Mitsuyuki; Walton, Noah M; Yamada, Hiroshi; Kondo, Yuji; Marek, Gerard J; Tajinda, Katsunori.
Afiliação
  • Matsumoto M; a Unit 2, Candidate Discovery Science Labs., Drug Discovery Research , Astellas Pharma Inc. , Tsukuba , Ibaraki , Japan.
  • Walton NM; b La Jolla Laboratory , Astellas Research Institute of America LLC , San Diego , CA , USA.
  • Yamada H; b La Jolla Laboratory , Astellas Research Institute of America LLC , San Diego , CA , USA.
  • Kondo Y; a Unit 2, Candidate Discovery Science Labs., Drug Discovery Research , Astellas Pharma Inc. , Tsukuba , Ibaraki , Japan.
  • Marek GJ; c Development Medical Sciences, Astellas Pharma Global Development , Northbrook , IL , USA.
  • Tajinda K; b La Jolla Laboratory , Astellas Research Institute of America LLC , San Diego , CA , USA.
Expert Opin Drug Discov ; 12(7): 673-686, 2017 07.
Article em En | MEDLINE | ID: mdl-28521526
ABSTRACT

INTRODUCTION:

Failures of investigational new drugs (INDs) for schizophrenia have left huge unmet medical needs for patients. Given the recent lackluster results, it is imperative that new drug discovery approaches (and resultant drug candidates) target pathophysiological alterations that are shared in specific, stratified patient populations that are selected based on pre-identified biological signatures. One path to implementing this paradigm is achievable by leveraging recent advances in genetic information and technologies. Genome-wide exome sequencing and meta-analysis of single nucleotide polymorphism (SNP)-based association studies have already revealed rare deleterious variants and SNPs in patient populations. Areas covered Herein, the authors review the impact that genetics have on the future of schizophrenia drug discovery. The high polygenicity of schizophrenia strongly indicates that this disease is biologically heterogeneous so the identification of unique subgroups (by patient stratification) is becoming increasingly necessary for future investigational new drugs. Expert opinion The authors propose a pathophysiology-based stratification of genetically-defined subgroups that share deficits in particular biological pathways. Existing tools, including lower-cost genomic sequencing and advanced gene-editing technology render this strategy ever more feasible. Genetically complex psychiatric disorders such as schizophrenia may also benefit from synergistic research with simpler monogenic disorders that share perturbations in similar biological pathways.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Esquizofrenia / Desenho de Fármacos / Descoberta de Drogas Idioma: En Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Esquizofrenia / Desenho de Fármacos / Descoberta de Drogas Idioma: En Ano de publicação: 2017 Tipo de documento: Article