ArticleScientific reports2021
A system biology approach based on metabolic biomarkers and protein-protein interactions for identifying pathways underlying schizophrenia and bipolar disorder.
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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10 citing papers in PubMed, 14 citations in OpenAlex.
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- Metabolic Mechanisms in Electroconvulsive Therapy for Schizophrenia: Role, Potential and Future Directions.International journal of molecular sciences · 2026Review
- Protein-protein interaction-interfering peptide rescues dysregulated NMDA receptor signaling.JCI insight · 2026Article
- Postnatal Mouse Brain Region-Resolved Peptidomic Resource of Conditional Ndel1 Loss: Comparison of Acidic and Alcoholic Extraction Strategies.Journal of neurochemistry · 2025Article
- Multi-omics Analysis of Energy Metabolism Pathways Across Major Psychiatric Disorders.Molecular neurobiology · 2025Article
- Bioinformatics-led identification of pathophysiological hallmark genes in diabesotension via graph clustering method.Journal of diabetes and metabolic disorders · 2025Article
- Serum Metabolic Profile in Schizophrenia Patients With Antipsychotic-Induced Constipation and Its relationship With Gut Microbiome.Schizophrenia bulletin · 2023Article
- Factors associated with psychiatric and physical comorbidities in bipolar disorder: a nationwide multicenter cross-sectional observational study.Frontiers in psychiatry · 2023Article
- Chemoinformatics-driven classification of Angiosperms using sulfur-containing compounds and machine learning algorithm.Plant methods · 2022Article
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Authors and funding
10 authors at 3 institutions in 2 countries.
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No grant is acknowledged in the PubMed record.
Abstract
Mental disorders (MDs), including schizophrenia (SCZ) and bipolar disorder (BD), have attracted special attention from scientists due to their high prevalence and significantly debilitating clinical features. The diagnosis of MDs is still essentially based on clinical interviews, and intensive efforts to introduce biochemical based diagnostic methods have faced several difficulties for implementation in clinics, due to the complexity and still limited knowledge in MDs. In this context, aiming for improving the knowledge in etiology and pathophysiology, many authors have reported several alterations in metabolites in MDs and other brain diseases. After potentially fishing all metabolite biomarkers reported up to now for SCZ and BD, we investigated here the proteins related to these metabolites in order to construct a protein-protein interaction (PPI) network associated with these diseases. We determined the statistically significant clusters in this PPI network and, based on these clusters, we identified 28 significant pathways for SCZ and BDs that essentially compose three groups representing three major systems, namely stress response, energy and neuron systems. By characterizing new pathways with potential to innovate the diagnosis and treatment of psychiatric diseases, the present data may also contribute to the proposal of new intervention for the treatment of still unmet aspects in MDs.
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