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Network-based drug repurposing for schizophrenia.
Truong, Trang T T; Liu, Zoe S J; Panizzutti, Bruna; Kim, Jee Hyun; Dean, Olivia M; Berk, Michael; Walder, Ken.
Afiliación
  • Truong TTT; Deakin University, IMPACT, The Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Geelong, Australia.
  • Liu ZSJ; Deakin University, IMPACT, The Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Geelong, Australia.
  • Panizzutti B; Deakin University, IMPACT, The Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Geelong, Australia.
  • Kim JH; Deakin University, IMPACT, The Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Geelong, Australia.
  • Dean OM; Florey Institute of Neuroscience and Mental Health, Parkville, Australia.
  • Berk M; Deakin University, IMPACT, The Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Geelong, Australia.
  • Walder K; Florey Institute of Neuroscience and Mental Health, Parkville, Australia.
Neuropsychopharmacology ; 49(6): 983-992, 2024 May.
Article en En | MEDLINE | ID: mdl-38321095
ABSTRACT
Despite recent progress, the challenges in drug discovery for schizophrenia persist. However, computational drug repurposing has gained popularity as it leverages the wealth of expanding biomedical databases. Network analyses provide a comprehensive understanding of transcription factor (TF) regulatory effects through gene regulatory networks, which capture the interactions between TFs and target genes by integrating various lines of evidence. Using the PANDA algorithm, we examined the topological variances in TF-gene regulatory networks between individuals with schizophrenia and healthy controls. This algorithm incorporates binding motifs, protein interactions, and gene co-expression data. To identify these differences, we subtracted the edge weights of the healthy control network from those of the schizophrenia network. The resulting differential network was then analysed using the CLUEreg tool in the GRAND database. This tool employs differential network signatures to identify drugs that potentially target the gene signature associated with the disease. Our analysis utilised a large RNA-seq dataset comprising 532 post-mortem brain samples from the CommonMind project. We constructed co-expression gene regulatory networks for both schizophrenia cases and healthy control subjects, incorporating 15,831 genes and 413 overlapping TFs. Through drug repurposing, we identified 18 promising candidates for repurposing as potential treatments for schizophrenia. The analysis of TF-gene regulatory networks revealed that the TFs in schizophrenia predominantly regulate pathways associated with energy metabolism, immune response, cell adhesion, and thyroid hormone signalling. These pathways represent significant targets for therapeutic intervention. The identified drug repurposing candidates likely act through TF-targeted pathways. These promising candidates, particularly those with preclinical evidence such as rimonabant and kaempferol, warrant further investigation into their potential mechanisms of action and efficacy in alleviating the symptoms of schizophrenia.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Esquizofrenia / Antipsicóticos / Redes Reguladoras de Genes / Reposicionamiento de Medicamentos Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Neuropsychopharmacology Asunto de la revista: NEUROLOGIA / PSICOFARMACOLOGIA Año: 2024 Tipo del documento: Article País de afiliación: Australia Pais de publicación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Esquizofrenia / Antipsicóticos / Redes Reguladoras de Genes / Reposicionamiento de Medicamentos Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Neuropsychopharmacology Asunto de la revista: NEUROLOGIA / PSICOFARMACOLOGIA Año: 2024 Tipo del documento: Article País de afiliación: Australia Pais de publicación: Reino Unido