Analysis of the caudate nucleus transcriptome in individuals with schizophrenia highlights effects of antipsychotics and new risk genes.

Saved in:
Bibliographic Details
Title: Analysis of the caudate nucleus transcriptome in individuals with schizophrenia highlights effects of antipsychotics and new risk genes.
Authors: Benjamin, Kynon J. M. (AUTHOR), Chen, Qiang (AUTHOR), Jaffe, Andrew E. (AUTHOR), Stolz, Joshua M. (AUTHOR), Collado-Torres, Leonardo (AUTHOR), Huuki-Myers, Louise A. (AUTHOR), Burke, Emily E. (AUTHOR), Arora, Ria (AUTHOR), Feltrin, Arthur S. (AUTHOR), Barbosa, André Rocha (AUTHOR), Radulescu, Eugenia (AUTHOR), Pergola, Giulio (AUTHOR), Shin, Joo Heon (AUTHOR), Ulrich, William S. (AUTHOR), Deep-Soboslay, Amy (AUTHOR), Tao, Ran (AUTHOR), the BrainSeq Consortium (AUTHOR), Matsumoto, Mitsuyuki (AUTHOR), Saito, Takeshi (AUTHOR), Tajinda, Katsunori (AUTHOR)
Source: Nature Neuroscience. Nov2022, Vol. 25 Issue 11, p1559-1568. 10p.
Abstract: Most studies of gene expression in the brains of individuals with schizophrenia have focused on cortical regions, but subcortical nuclei such as the striatum are prominently implicated in the disease, and current antipsychotic drugs target the striatum's dense dopaminergic innervation. Here, we performed a comprehensive analysis of the genetic and transcriptional landscape of schizophrenia in the postmortem caudate nucleus of the striatum of 443 individuals (245 neurotypical individuals, 154 individuals with schizophrenia and 44 individuals with bipolar disorder), 210 from African and 233 from European ancestries. Integrating expression quantitative trait loci analysis, Mendelian randomization with the latest schizophrenia genome-wide association study, transcriptome-wide association study and differential expression analysis, we identified many genes associated with schizophrenia risk, including potentially the dopamine D2 receptor short isoform. We found that antipsychotic medication has an extensive influence on caudate gene expression. We constructed caudate nucleus gene expression networks that highlight interactions involving schizophrenia risk. These analyses provide a resource for the study of schizophrenia and insights into risk mechanisms and potential therapeutic targets. In this work, the authors transcriptionally and genetically profile 443 caudate nucleus samples, including 154 with schizophrenia, highlighting new genes associated with schizophrenia risk, including the presynaptic DRD2 isoform. [ABSTRACT FROM AUTHOR]
Copyright of Nature Neuroscience is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
FullText Text:
  Availability: 0
Header DbId: pbh
DbLabel: Psychology and Behavioral Sciences Collection
An: 160028076
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Analysis of the caudate nucleus transcriptome in individuals with schizophrenia highlights effects of antipsychotics and new risk genes.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Benjamin%2C+Kynon+J%2E+M%2E%22">Benjamin, Kynon J. M.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Chen%2C+Qiang%22">Chen, Qiang</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Jaffe%2C+Andrew+E%2E%22">Jaffe, Andrew E.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Stolz%2C+Joshua+M%2E%22">Stolz, Joshua M.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Collado-Torres%2C+Leonardo%22">Collado-Torres, Leonardo</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Huuki-Myers%2C+Louise+A%2E%22">Huuki-Myers, Louise A.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Burke%2C+Emily+E%2E%22">Burke, Emily E.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Arora%2C+Ria%22">Arora, Ria</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Feltrin%2C+Arthur+S%2E%22">Feltrin, Arthur S.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Barbosa%2C+André+Rocha%22">Barbosa, André Rocha</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Radulescu%2C+Eugenia%22">Radulescu, Eugenia</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Pergola%2C+Giulio%22">Pergola, Giulio</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Shin%2C+Joo+Heon%22">Shin, Joo Heon</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Ulrich%2C+William+S%2E%22">Ulrich, William S.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Deep-Soboslay%2C+Amy%22">Deep-Soboslay, Amy</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Tao%2C+Ran%22">Tao, Ran</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22the+BrainSeq+Consortium%22">the BrainSeq Consortium</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Matsumoto%2C+Mitsuyuki%22">Matsumoto, Mitsuyuki</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Saito%2C+Takeshi%22">Saito, Takeshi</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Tajinda%2C+Katsunori%22">Tajinda, Katsunori</searchLink> (AUTHOR)
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Nature+Neuroscience%22">Nature Neuroscience</searchLink>. Nov2022, Vol. 25 Issue 11, p1559-1568. 10p.
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Most studies of gene expression in the brains of individuals with schizophrenia have focused on cortical regions, but subcortical nuclei such as the striatum are prominently implicated in the disease, and current antipsychotic drugs target the striatum's dense dopaminergic innervation. Here, we performed a comprehensive analysis of the genetic and transcriptional landscape of schizophrenia in the postmortem caudate nucleus of the striatum of 443 individuals (245 neurotypical individuals, 154 individuals with schizophrenia and 44 individuals with bipolar disorder), 210 from African and 233 from European ancestries. Integrating expression quantitative trait loci analysis, Mendelian randomization with the latest schizophrenia genome-wide association study, transcriptome-wide association study and differential expression analysis, we identified many genes associated with schizophrenia risk, including potentially the dopamine D2 receptor short isoform. We found that antipsychotic medication has an extensive influence on caudate gene expression. We constructed caudate nucleus gene expression networks that highlight interactions involving schizophrenia risk. These analyses provide a resource for the study of schizophrenia and insights into risk mechanisms and potential therapeutic targets. In this work, the authors transcriptionally and genetically profile 443 caudate nucleus samples, including 154 with schizophrenia, highlighting new genes associated with schizophrenia risk, including the presynaptic DRD2 isoform. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Nature Neuroscience is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=pbh&AN=160028076
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1038/s41593-022-01182-7
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 10
        StartPage: 1559
    Titles:
      – TitleFull: Analysis of the caudate nucleus transcriptome in individuals with schizophrenia highlights effects of antipsychotics and new risk genes.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Benjamin, Kynon J. M.
      – PersonEntity:
          Name:
            NameFull: Chen, Qiang
      – PersonEntity:
          Name:
            NameFull: Jaffe, Andrew E.
      – PersonEntity:
          Name:
            NameFull: Stolz, Joshua M.
      – PersonEntity:
          Name:
            NameFull: Collado-Torres, Leonardo
      – PersonEntity:
          Name:
            NameFull: Huuki-Myers, Louise A.
      – PersonEntity:
          Name:
            NameFull: Burke, Emily E.
      – PersonEntity:
          Name:
            NameFull: Arora, Ria
      – PersonEntity:
          Name:
            NameFull: Feltrin, Arthur S.
      – PersonEntity:
          Name:
            NameFull: Barbosa, André Rocha
      – PersonEntity:
          Name:
            NameFull: Radulescu, Eugenia
      – PersonEntity:
          Name:
            NameFull: Pergola, Giulio
      – PersonEntity:
          Name:
            NameFull: Shin, Joo Heon
      – PersonEntity:
          Name:
            NameFull: Ulrich, William S.
      – PersonEntity:
          Name:
            NameFull: Deep-Soboslay, Amy
      – PersonEntity:
          Name:
            NameFull: Tao, Ran
      – PersonEntity:
          Name:
            NameFull: the BrainSeq Consortium
      – PersonEntity:
          Name:
            NameFull: Matsumoto, Mitsuyuki
      – PersonEntity:
          Name:
            NameFull: Saito, Takeshi
      – PersonEntity:
          Name:
            NameFull: Tajinda, Katsunori
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 11
              Text: Nov2022
              Type: published
              Y: 2022
          Identifiers:
            – Type: issn-print
              Value: 10976256
          Numbering:
            – Type: volume
              Value: 25
            – Type: issue
              Value: 11
          Titles:
            – TitleFull: Nature Neuroscience
              Type: main
ResultId 1