EC Psychology and Psychiatry

Research Article Volume 12 Issue 6 - 2023

Spatial Multiomics Analysis in Psychiatric Disorders

Qiao Mao1#, Shiren Huang2#, Xinqun Luo3, Ping Liu1, Xiaoping Wang2, Kesheng Wang4, Yong Zhang5, Bin Chen6* and Xingguang Luo7,8*

1Department of Psychosomatic Medicine, People’s Hospital of Deyang City, Deyang, Sichuan, China

2Department of Neurology, Jiading Branch of Shanghai General Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China

3Department of Neurosurgery, the First Affiliated Hospital, Fujian Medical University, Fuzhou, China

4Department of Family and Community Health, School of Nursing, Health Sciences Center, West Virginia University, Morgantown, WV, USA

5Tianjin Mental Health Center, Tianjin, China

6Shengli Clinical Medical College of Fujian Medical University, Fujian Medical University

7Beijing Huilongguan Hospital, Peking University Huilongguan Clinical School of Medicine, Beijing, China

8Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA

*Corresponding Author: Xingguang Luo, Beijing Huilongguan Hospital, Peking University Huilongguan Clinical School of Medicine, Beijing, China and Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA and Bin Chen, Department of Cardiovascular Medicine, Fujian Provincial Hospital, Fuzhou, Fujian, China. #These authors contributed equally
Received: May 17, 2023; Published:June 19, 2023

The aim of this study is to provide a comprehensive overview of spatial multiomics analysis, including its definition, processes, applications, significance and relevant research in psychiatric disorders. To achieve this, a literature search was conducted, focusing on three major spatial omics techniques and their application to three common psychiatric disorders: Alzheimer’s disease (AD), schizophrenia, and autism spectrum disorders. Spatial genomics analysis has revealed specific genes associated with neuropsychiatric disorders in certain brain regions. Spatial transcriptomics analysis has identified genes related to AD in areas such as the hippocampus, olfactory bulb, and middle temporal gyrus. It has also provided insight into the response to AD in mouse models. Spatial proteogenomics has identified autism spectrum disorder (ASD)-risk genes in specific cell types, while schizophrenia risk loci have been linked to transcriptional signatures in the human hippocampus. In summary, spatial multiomics analysis offers a powerful approach to understand AD pathology and other psychiatric diseases, integrating multiple data modalities to identify risk genes for these disorders. It is valuable for studying psychiatric disorders with high or low cellular heterogeneity and provides new insights into the brain nucleome to predict disease progression and aid diagnosis and treatment.

Keywords: Spatial Genomics; Spatial Transcriptomics; Spatial Proteogenomics; Alzheimer’s Disease; Schizophrenia; Autism Spectrum Disorder

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Xingguang Luo, Bin Chen., et al. Spatial Multiomics Analysis in Psychiatric Disorders. EC Psychology and Psychiatry 12.6 (2023): 01-05.