Your browser doesn't support javascript.
loading
Targeting synaptic plasticity in schizophrenia: insights from genomic studies.
Mould, Arne W; Hall, Nicola A; Milosevic, Ira; Tunbridge, Elizabeth M.
Affiliation
  • Mould AW; Department of Psychiatry, University of Oxford, Oxford, UK; Oxford Health NHS Foundation Trust, Oxford, UK.
  • Hall NA; Department of Psychiatry, University of Oxford, Oxford, UK; Oxford Health NHS Foundation Trust, Oxford, UK.
  • Milosevic I; Wellcome Centre for Human Genetics, Oxford, UK; NIHR Oxford Biomedical Research Centre, Oxford, UK; Nuffield Department of Medicine, University of Oxford, Oxford, UK.
  • Tunbridge EM; Department of Psychiatry, University of Oxford, Oxford, UK; Oxford Health NHS Foundation Trust, Oxford, UK. Electronic address: elizabeth.tunbridge@psych.ox.ac.uk.
Trends Mol Med ; 27(11): 1022-1032, 2021 11.
Article in En | MEDLINE | ID: mdl-34419330
Patients with schizophrenia experience cognitive dysfunction and negative symptoms that do not respond to current drug treatments. Historical evidence is consistent with the hypothesis that these deficits are due, at least in part, to altered cortical synaptic plasticity (the ability of synapses to strengthen or weaken their activity), making this an attractive pathway for therapeutic intervention. However, while synaptic transmission and plasticity is well understood in model systems, it has been challenging to identify specific therapeutic targets for schizophrenia. New information is emerging from genomic findings, which converge on synaptic plasticity and provide a new window on the neurobiology of schizophrenia. Translating this information into therapeutic advances will require a multidisciplinary and collaborative approach.
Subject(s)
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Schizophrenia Type of study: Prognostic_studies Limits: Humans Language: En Journal: Trends Mol Med Journal subject: BIOLOGIA MOLECULAR Year: 2021 Type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Schizophrenia Type of study: Prognostic_studies Limits: Humans Language: En Journal: Trends Mol Med Journal subject: BIOLOGIA MOLECULAR Year: 2021 Type: Article