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Northoff G, Hirjak D. Spatiotemporal Psychopathology - An integrated brain-mind approach and catatonia. Schizophr Res 2024; 263:151-159. [PMID: 36335076 DOI: 10.1016/j.schres.2022.10.006] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/05/2022] [Revised: 10/18/2022] [Accepted: 10/20/2022] [Indexed: 11/06/2022]
Abstract
Catatonia is featured by complex symptoms combining motor, affective and behavioral phenomena as well as by its syndrome character with trans-diagnostic occurrence. It paradigmatically shows the limits of current forms of psychopathology like affective and cognitive approaches with respect to both clinical symptoms and brain mechanisms. We therefore suggest Spatiotemporal Psychopathology (STPP) which, as recently introduced, is here developed further following the latest findings in both clinical psychiatry and neuroscience. STPP is characterized by two core features: (i) an experience-based approach that accounts for symptoms primarily in terms of first-person experience of time-space as distinct from third-person observation of specific functions and related behavior; (ii) an integrated brain-mind approach where the brain's neural topography and dynamic, e.g., inner time and space, are shared by the mind's mental topography and dynamic, e.g., time-space experience, as their "common currency". We demonstrate how these two features can well account for both symptom complexity and trans-diagnostic nature of catatonia. In conclusion, catatonia can serve as paradigmatic example for the need to develop a more comprehensive psychopathological approach in psychiatry. This is provided by STPP that allows integrating subjective experience, clinical symptoms and the brain's neural activity in terms of their inner space-time, e.g., topography and dynamic.
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Affiliation(s)
- Georg Northoff
- Mind, Brain Imaging and Neuroethics Research Unit, The Royal's Institute of Mental Health Research, University of Ottawa, Ottawa, ON, Canada.
| | - Dusan Hirjak
- Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
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Liao F, Zhu L, Yang J, Wu X, Zhao Z, Xu B, Zhong Q, Wen Z, Long J, Su L. Whole Transcriptome Sequencing Identified CircRNA Profiles and the Related Networks in Schizophrenia. J Mol Neurosci 2022; 72:1622-1635. [PMID: 35543802 DOI: 10.1007/s12031-022-02013-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2022] [Accepted: 04/16/2022] [Indexed: 11/25/2022]
Abstract
Schizophrenia (SCZ) is a complex psychiatric syndrome with uncertain etiology. This study aimed to uncover the expression profiles and related regulatory networks of circular RNA (circRNA) in SCZ. Whole transcriptome sequencing was performed to assess the expression profiles of circRNAs and microRNAs (miRNAs) in the peripheral blood of three patients with SCZ and three healthy controls. Five circRNAs were validated by quantitative real-time PCR (RT-qPCR). TargetScan, RNAhybrid, and miRanda were performed to predict the target miRNAs of the top 10 dysregulated circRNAs. MiRTarBase was applied to predict the target mRNAs of miRNAs to construct circRNA-miRNA-mRNA (ceRNA) networks. CatRAPID and StarBase were used to predict the target RNA-binding proteins (RBPs) of circRNAs to construct circRNA-RBP networks. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses were performed to predict the potential functions of the maternal genes of circRNAs and target mRNAs. In total, 450 circRNAs and 160 miRNAs were found to be significantly differentially expressed, with hsa_circ_0003999 and hsa_circ_0030042 being significantly different between patients with SCZ and healthy controls (P < 0.05). The PI3K-AKT, MAPK, and cell cycle pathways were predicted to be associated with SCZ. GO analysis showed that focal adhesion was related to SCZ. The ceRNA networks, especially hsa_circ_0006151/hsa-miR-4685-3p/ZBTB16, hsa_circ_0000008/hsa-miR-1976/ZBTB16, and the hsa_circ_0007963/hsa-miR-3127-3p/UBE2K axes have the greatest probability of being involved in the pathophysiology of SCZ. The RBP networks, FXR1, FXR2, DGCR8, XRN2, FMR1, and QKI were the RBPs associated with SCZ. In conclusion, the circRNAs, ceRNAs, and RBP network expression patterns and related pathways indicate the potential role of circRNAs in the pathogenesis and development of SCZ.
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Affiliation(s)
- Fangping Liao
- School of Public Health of Guangxi Medical University, 22 Shuangyong Road, Nanning, 530021, Guangxi, China
| | - Lulu Zhu
- School of Public Health of Guangxi Medical University, 22 Shuangyong Road, Nanning, 530021, Guangxi, China
| | - Jialei Yang
- School of Public Health of Guangxi Medical University, 22 Shuangyong Road, Nanning, 530021, Guangxi, China
| | - Xulong Wu
- School of Public Health of Guangxi Medical University, 22 Shuangyong Road, Nanning, 530021, Guangxi, China
| | - Zhi Zhao
- School of Public Health of Guangxi Medical University, 22 Shuangyong Road, Nanning, 530021, Guangxi, China
| | - Bingyi Xu
- School of Public Health of Guangxi Medical University, 22 Shuangyong Road, Nanning, 530021, Guangxi, China
| | - Qingqing Zhong
- School of Public Health of Guangxi Medical University, 22 Shuangyong Road, Nanning, 530021, Guangxi, China
| | - Zheng Wen
- School of Public Health of Guangxi Medical University, 22 Shuangyong Road, Nanning, 530021, Guangxi, China
| | - Jianxiong Long
- School of Public Health of Guangxi Medical University, 22 Shuangyong Road, Nanning, 530021, Guangxi, China.
| | - Li Su
- School of Public Health of Guangxi Medical University, 22 Shuangyong Road, Nanning, 530021, Guangxi, China.
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Abbasi E, Saadat M. Association between three common genetic polymorphisms of ATM and the risk of schizophrenia. EXCLI JOURNAL 2021; 20:1363-1366. [PMID: 34650388 PMCID: PMC8495112 DOI: 10.17179/excli2021-4141] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/31/2021] [Accepted: 08/18/2021] [Indexed: 11/10/2022]
Affiliation(s)
- Elham Abbasi
- Department of Biology, College of Sciences, Shiraz University, Shiraz 71467-13565, Iran
| | - Mostafa Saadat
- Department of Biology, College of Sciences, Shiraz University, Shiraz 71467-13565, Iran,*To whom correspondence should be addressed: Mostafa Saadat, Department of Biology, College of Sciences, Shiraz University, Shiraz 71467-13565, Iran; Fax: +98-71-32280926, E-mail:
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