A system biology approach based on metabolic biomarkers and protein–protein interactions for identifying pathways underlying schizophrenia and bipolar disorder

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 intens...

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Autores principales: Md. Altaf-Ul-Amin, Kazuhisa Hirose, João V. Nani, Lucas C. Porta, Ljubica Tasic, Shaikh Farhad Hossain, Ming Huang, Naoaki Ono, Mirian A. F. Hayashi, Shigehiko Kanaya
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Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/f6fc63593aca457889b7bc465218da0b
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spelling oai:doaj.org-article:f6fc63593aca457889b7bc465218da0b2021-12-02T16:14:03ZA system biology approach based on metabolic biomarkers and protein–protein interactions for identifying pathways underlying schizophrenia and bipolar disorder10.1038/s41598-021-93653-32045-2322https://doaj.org/article/f6fc63593aca457889b7bc465218da0b2021-07-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-93653-3https://doaj.org/toc/2045-2322Abstract 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.Md. Altaf-Ul-AminKazuhisa HiroseJoão V. NaniLucas C. PortaLjubica TasicShaikh Farhad HossainMing HuangNaoaki OnoMirian A. F. HayashiShigehiko KanayaNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-11 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Md. Altaf-Ul-Amin
Kazuhisa Hirose
João V. Nani
Lucas C. Porta
Ljubica Tasic
Shaikh Farhad Hossain
Ming Huang
Naoaki Ono
Mirian A. F. Hayashi
Shigehiko Kanaya
A system biology approach based on metabolic biomarkers and protein–protein interactions for identifying pathways underlying schizophrenia and bipolar disorder
description 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.
format article
author Md. Altaf-Ul-Amin
Kazuhisa Hirose
João V. Nani
Lucas C. Porta
Ljubica Tasic
Shaikh Farhad Hossain
Ming Huang
Naoaki Ono
Mirian A. F. Hayashi
Shigehiko Kanaya
author_facet Md. Altaf-Ul-Amin
Kazuhisa Hirose
João V. Nani
Lucas C. Porta
Ljubica Tasic
Shaikh Farhad Hossain
Ming Huang
Naoaki Ono
Mirian A. F. Hayashi
Shigehiko Kanaya
author_sort Md. Altaf-Ul-Amin
title A system biology approach based on metabolic biomarkers and protein–protein interactions for identifying pathways underlying schizophrenia and bipolar disorder
title_short A system biology approach based on metabolic biomarkers and protein–protein interactions for identifying pathways underlying schizophrenia and bipolar disorder
title_full A system biology approach based on metabolic biomarkers and protein–protein interactions for identifying pathways underlying schizophrenia and bipolar disorder
title_fullStr A system biology approach based on metabolic biomarkers and protein–protein interactions for identifying pathways underlying schizophrenia and bipolar disorder
title_full_unstemmed A system biology approach based on metabolic biomarkers and protein–protein interactions for identifying pathways underlying schizophrenia and bipolar disorder
title_sort system biology approach based on metabolic biomarkers and protein–protein interactions for identifying pathways underlying schizophrenia and bipolar disorder
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/f6fc63593aca457889b7bc465218da0b
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