Neurodevelopmental trajectories, polygenic risk, and lipometabolism in vulnerability and resilience to schizophrenia

Autor: Jia Duan, Xiaohong Gong, Fay Y. Womer, Kaijin Sun, Lili Tang, Juan Liu, Junjie Zheng, Yue Zhu, Yanqing Tang, Xizhe Zhang, Fei Wang
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: BMC Psychiatry, Vol 23, Iss 1, Pp 1-12 (2023)
Druh dokumentu: article
ISSN: 1471-244X
DOI: 10.1186/s12888-023-04597-z
Popis: Abstract Background Schizophrenia (SZ) arises from a complex interplay involving genetic and molecular factors. Early intervention of SZ hinges upon understanding its vulnerability and resiliency factors in study of SZ and genetic high risk for SZ (GHR). Methods Herein, using integrative and multimodal strategies, we first performed a longitudinal study of neural function as measured by amplitude of low frequency function (ALFF) in 21 SZ, 26 GHR, and 39 healthy controls to characterize neurodevelopmental trajectories of SZ and GHR. Then, we examined the relationship between polygenic risk score for SZ (SZ-PRS), lipid metabolism, and ALFF in 78 SZ, and 75 GHR in cross-sectional design to understand its genetic and molecular substrates. Results Across time, SZ and GHR diverge in ALFF alterations of the left medial orbital frontal cortex (MOF). At baseline, both SZ and GHR had increased left MOF ALFF compared to HC (P
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