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Objectives: The aim of this study was to repurpose a drug for the treatment of bipolar depression. Methods: A gene expression signature representing the overall transcriptomic effects of a cocktail of drugs widely prescribed to treat bipolar disorder was generated using human neuronal‐like (NT2‐N) cells. A compound library of 960 approved, off‐patent drugs were then screened to identify those drugs that affect transcription most similar to the effects of the bipolar depression drug cocktail. For mechanistic studies, peripheral blood mononuclear cells were obtained from a healthy subject and reprogrammed into induced pluripotent stem cells, which were then differentiated into co‐cultured neurons and astrocytes. Efficacy studies were conducted in two animal models of depressive‐like behaviours (Flinders Sensitive Line rats and social isolation with chronic restraint stress rats). Results: The screen identified trimetazidine as a potential drug for repurposing. Trimetazidine alters metabolic processes to increase ATP production, which is thought to be deficient in bipolar depression. We showed that trimetazidine increased mitochondrial respiration in cultured human neuronal‐like cells. Transcriptomic analysis in induced pluripotent stem cell‐derived neuron/astrocyte co‐cultures suggested additional mechanisms of action via the focal adhesion and MAPK signalling pathways. In two different rodent models of depressive‐like behaviours, trimetazidine exhibited antidepressant‐like activity with reduced anhedonia and reduced immobility in the forced swim test. Conclusion: Collectively our data support the repurposing of trimetazidine for the treatment of bipolar depression. [ABSTRACT FROM AUTHOR]

Introduction Mood disorders are a major cause of disability, and current treatment options are inadequate for reducing the burden on a global scale. The aim of this project was to identify drugs suitable for repurposing to treat mood disorders. Methods This mixed-method study utilized gene expression signature technology and pharmacoepidemiology to investigate drugs that may be suitable for repurposing to treat mood disorders. Results The transcriptional effects of a combination of drugs commonly used to treat mood disorders included regulation of the steroid and terpenoid backbone biosynthesis pathways, suggesting a mechanism involving cholesterol biosynthesis, and effects on the thyroid hormone signaling pathway. Connectivity Map analysis highlighted metformin, an FDA-approved treatment for type 2 diabetes, as a drug having global transcriptional effects similar to the mood disorder drug combination investigated. In a retrospective cohort study, we found evidence that metformin is protective against the onset of mood disorders. Discussion These results provide proof-of-principle of combining gene expression signature technology with pharmacoepidemiology to identify potential novel drugs for treating mood disorders. Importantly, metformin may have utility in the treatment of mood disorders, warranting future randomized controlled trials to test its efficacy. [ABSTRACT FROM AUTHOR]

Background: Bipolar disorder (BD) presents significant challenges in drug discovery, necessitating alternative approaches. Drug repurposing, leveraging computational techniques and expanding biomedical data, holds promise for identifying novel treatment strategies., Methods: This study utilized gene regulatory networks (GRNs) to identify significant regulatory changes in BD, using network-based signatures for drug repurposing. Employing the PANDA algorithm, we investigated the variations in transcription factor-GRNs between individuals with BD and unaffected individuals, incorporating binding motifs, protein interactions, and gene co-expression data. The differences in edge weights between BD and controls were then used as differential network signatures to identify drugs potentially targeting the disease-associated gene signature, employing the CLUEreg tool in the GRAND database., Results: Using a large RNA-seq dataset of 216 post-mortem brain samples from the CommonMind consortium, we constructed GRNs based on co-expression for individuals with BD and unaffected controls, involving 15,271 genes and 405 TFs. Our analysis highlighted significant influences of these TFs on immune response, energy metabolism, cell signalling, and cell adhesion pathways in the disorder. By employing drug repurposing, we identified 10 promising candidates potentially repurposed as BD treatments., Limitations: Non-drug-naïve transcriptomics data, bulk analysis of BD samples, potential bias of GRNs towards well-studied genes., Conclusions: Further investigation into repurposing candidates, especially those with preclinical evidence supporting their efficacy, like kaempferol and pramocaine, is warranted to understand their mechanisms of action and effectiveness in treating BD. Additionally, novel targets such as PARP1 and A2b offer opportunities for future research on their relevance to the disorder., Competing Interests: Declaration of competing interest The author(s) declare none., (Copyright © 2024 The Authors. Published by Elsevier B.V. All rights reserved.)

An increase in the age of surgical patients as well as the volume of surgeries is associated with a rise in perioperative neurocognitive disorders. These disorders encompass acute delirium and longer-term cognitive dysfunctions. Brain derived neurotrophic factor (BDNF) is a neurotrophin that plays a dynamic role in a series of neurological functions including neuroplasticity, neurogenesis and synaptic regulation. Given the possible alterations to brain physiology in response to surgery, this review aims to explore the relationship between changes in central and peripheral BDNF concentrations and perioperative neurocognitive disorders. Higher levels of Brain tissue and blood BDNF have been associated with better cognitive function; however, the nature of the association between BDNF and delirium is uncertain. Preclinical models point to a significant depletion in BDNF expression and signalling within the brain post-operatively, while preliminary human studies demonstrate depletions in serum BDNF concentration after surgery. These findings suggest that the reduced BDNF concentrations may be associated with post-operative cognitive dysfunction. Thus, understanding the BDNF expression/signalling pathways may present a promising avenue for managing perioperative neurocognitive disorders symptoms. Nonetheless, given that results were primarily derived from preclinical models, it is critical for these findings to be validated in humans to confirm the relevance of this promising target., (Copyright © 2022 Elsevier Inc. All rights reserved.)

Although neurogenesis is affected in several psychiatric diseases, the effects and mechanisms of action of psychoactive drugs on neurogenesis remain unknown and/or controversial. This study aims to evaluate the effects of psychoactive drugs on the expression of genes involved in neurogenesis. Neuronal-like cells (NT2-N) were treated with amisulpride (10 µM), aripiprazole (0.1 µM), clozapine (10 µM), lamotrigine (50 µM), lithium (2.5 mM), quetiapine (50 µM), risperidone (0.1 µM), or valproate (0.5 mM) for 24 h. Genome wide mRNA expression was quantified and analysed using gene set enrichment analysis, with the neurogenesis gene set retrieved from the Gene Ontology database and the Mammalian Adult Neurogenesis Gene Ontology (MANGO) database. Transcription factors that are more likely to regulate these genes were investigated to better understand the biological processes driving neurogenesis. Targeted metabolomics were performed using gas chromatography-mass spectrometry. Six of the eight drugs decreased the expression of genes involved in neurogenesis in both databases. This suggests that acute treatment with these psychoactive drugs negatively regulates the expression of genes involved in neurogenesis in vitro. SOX2 and three of its target genes ( CCND1 , BMP4 , and DKK1 ) were also decreased after treatment with quetiapine. This can, at least in part, explain the mechanisms by which these drugs decrease neurogenesis at a transcriptional level in vitro. These results were supported by the finding of increased metabolite markers of mature neurons following treatment with most of the drugs tested, suggesting increased proportions of mature relative to immature neurons consistent with reduced neurogenesis.