TY - JOUR
T1 - Transcriptomic sex differences in postmortem brain samples from patients with psychiatric disorders
AU - PsychENCODE Consortium
AU - Xia, Yan
AU - Xia, Cuihua
AU - Jiang, Yi
AU - Chen, Yu
AU - Zhou, Jiaqi
AU - Dai, Rujia
AU - Han, Cong
AU - Mao, Zhongzheng
AU - Liu, Chunyu
AU - Chen, Chao
AU - Akbarian, Schahram
AU - Abyzov, Alexej
AU - Ahituv, Nadav
AU - Arasappan, Dhivya
AU - Armenteros, Jose Juan Almagro
AU - Beliveau, Brian J.
AU - Bendl, Jaroslav
AU - Berretta, Sabina
AU - Bharadwaj, Rahul A.
AU - Bhattacharya, Arjun
AU - Bicks, Lucy
AU - Brennand, Kristen
AU - Capauto, Davide
AU - Champagne, Frances A.
AU - Chatterjee, Tanima
AU - Chatzinakos, Chris
AU - Chen, Yuhang
AU - Chen, H. Isaac
AU - Cheng, Yuyan
AU - Cheng, Lijun
AU - Chess, Andrew
AU - Chien, Jo Fan
AU - Chu, Zhiyuan
AU - Clarke, Declan
AU - Clement, Ashley
AU - Collado-Torres, Leonardo
AU - Cooper, Gregory M.
AU - Crawford, Gregory E.
AU - Daskalakis, Nikolaos P.
AU - Fullard, John F.
AU - Girdhar, Kiran
AU - Haroutunian, Vahram
AU - Hoffman, Gabriel E.
AU - Kozlenkov, Alex
AU - Lee, Donghoon
AU - Raj, Towfique
AU - Roussos, Panos
AU - Sebra, Robert
AU - Voloudakis, Georgios
AU - Zeng, Biao
N1 - Publisher Copyright:
Copyright © 2024 The Authors, some rights reserved;
PY - 2024/5/29
Y1 - 2024/5/29
N2 - Many psychiatric disorders exhibit sex differences, but the underlying mechanisms remain poorly understood. We analyzed transcriptomics data from 2160 postmortem adult prefrontal cortex brain samples from the PsychENCODE consortium in a sex-stratified study design. We compared transcriptomics data of postmortem brain samples from patients with schizophrenia (SCZ), bipolar disorder (BD), and autism spectrum disorder (ASD) with transcriptomics data of postmortem control brains from individuals without a known history of psychiatric disease. We found that brain samples from females with SCZ, BD, and ASD showed a higher burden of transcriptomic dysfunction than did brain samples from males with these disorders. This observation was supported by the larger number of differentially expressed genes (DEGs) and a greater magnitude of gene expression changes observed in female versus male brain specimens. In addition, female patient brain samples showed greater overall connectivity dysfunction, defined by a higher proportion of gene coexpression modules with connectivity changes and higher connectivity burden, indicating a greater degree of gene coexpression variability. We identified several gene coexpression modules enriched in sex-biased DEGs and identified genes from a genome-wide association study that were involved in immune and synaptic functions across different brain cell types. We found a number of genes as hubs within these modules, including those encoding SCN2A, FGF14, and C3. Our results suggest that in the context of psychiatric diseases, males and females exhibit different degrees of transcriptomic dysfunction and implicate immune and synaptic-related pathways in these sex differences.
AB - Many psychiatric disorders exhibit sex differences, but the underlying mechanisms remain poorly understood. We analyzed transcriptomics data from 2160 postmortem adult prefrontal cortex brain samples from the PsychENCODE consortium in a sex-stratified study design. We compared transcriptomics data of postmortem brain samples from patients with schizophrenia (SCZ), bipolar disorder (BD), and autism spectrum disorder (ASD) with transcriptomics data of postmortem control brains from individuals without a known history of psychiatric disease. We found that brain samples from females with SCZ, BD, and ASD showed a higher burden of transcriptomic dysfunction than did brain samples from males with these disorders. This observation was supported by the larger number of differentially expressed genes (DEGs) and a greater magnitude of gene expression changes observed in female versus male brain specimens. In addition, female patient brain samples showed greater overall connectivity dysfunction, defined by a higher proportion of gene coexpression modules with connectivity changes and higher connectivity burden, indicating a greater degree of gene coexpression variability. We identified several gene coexpression modules enriched in sex-biased DEGs and identified genes from a genome-wide association study that were involved in immune and synaptic functions across different brain cell types. We found a number of genes as hubs within these modules, including those encoding SCN2A, FGF14, and C3. Our results suggest that in the context of psychiatric diseases, males and females exhibit different degrees of transcriptomic dysfunction and implicate immune and synaptic-related pathways in these sex differences.
UR - http://www.scopus.com/inward/record.url?scp=85194979553&partnerID=8YFLogxK
U2 - 10.1126/scitranslmed.adh9974
DO - 10.1126/scitranslmed.adh9974
M3 - Article
C2 - 38781321
AN - SCOPUS:85194979553
SN - 1946-6234
VL - 16
JO - Science Translational Medicine
JF - Science Translational Medicine
IS - 749
M1 - eadh9974
ER -