Cell-type-specific genes associated with cortical structural abnormalities in pediatric bipolar disorder

Author:

Lei Wenkun12,Xiao Qian3,Wang Chun4,Gao Weijia5,Xiao Yiwen12,Dai Yingliang12,Lu Guangming6,Su Linyan7,Zhong Yuan12ORCID

Affiliation:

1. School of Psychology, Nanjing Normal University , Nanjing, Jiangsu 210097 , China

2. Nanjing Normal University, Jiangsu Key Laboratory of Mental Health and Cognitive Science , Nanjing, Jiangsu 210097 , China

3. The Mental Health Centre of Xiangya Hospital, Central South University , Changsha, Hunan 410008 , China

4. The Department of Psychiatry, Nanjing Brain Hospital Affiliated to Nanjing Medical University , Nanjing, Jiangsu 210029 , China

5. The Children's Hospital affiliated to the Medical College of Zhejiang University , Hangzhou, Zhejiang 310003 , China

6. The Department of Medical Imaging, Jinling Hospital, Nanjing University School of Medicine , Nanjing, Jiangsu 210002 , China

7. The Second Xiangya Hospital of Central South University , Changsha, Hunan 410008 , China

Abstract

Abstracts Background Pediatric bipolar disorder (PBD) has been proven to be related to abnormal brain structural connectivity, but how the abnormalities in PBD correlate with gene expression is debated. Objective This study aims at identification of cell-type-specific gene modules based on cortical structural differences in PBD. Methods Morphometric similarity networks (MSN) were computed as a marker of interareal cortical connectivity based on MRI data from 102 participants (59 patients and 43 controls). Partial least squares (PLS) regression was used to calculate MSN differences related to transcriptomic data in AHBA. The biological processes and cortical cell types associated with this gene expression profile were determined by gene enrichment tools. Results MSN analysis results demonstrated differences of cortical structure between individuals diagnosed with PBD and healthy control participants. MSN differences were spatially correlated with the PBD-related weighted genes. The weighted genes were enriched for “trans-synaptic signaling” and “regulation of ion transport”, and showed significant specific expression in excitatory and inhibitory neurons. Conclusions This study identified the genes that contributed to structural network aberrations in PBD. It was found that transcriptional changes of excitatory and inhibitory neurons might be associated with abnormal brain structural connectivity in PBD.

Funder

National Natural Science Foundation of China

Natural Science Foundation of Jiangsu Province

Jiangsu Provincial Key Research and Development Program

Publisher

Oxford University Press (OUP)

Subject

General Medicine

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