Shi Weiman, Chen Min, Wang Rongai, Wen Chengping, Huang Lin, Wang Qiao
School of Basic Medicine, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, 310053, China.
The Second Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, Zhejiang, 310005, China.
J Transl Med. 2025 Apr 14;23(1):440. doi: 10.1186/s12967-025-06113-1.
Autoimmune diseases such as Systemic Lupus Erythematosus (SLE), Sjögren's Syndrome (SS), and Hashimoto's Thyroiditis (HT) frequently exhibit neuropsychiatric manifestations, including cognitive impairment, depression, anxiety, and so on, yet the exact pathogenesis underlying this association remain incompletely understood. Dysfunction of brain resting-state functional networks and cerebrospinal fluid (CSF) metabolite disturbances have been widely reported in psychiatric disorders. However, the application of resting-state functional magnetic resonance imaging (rsfMRI) and CSF metabolomics in the diagnosis and monitoring of autoimmune psychosis is still limited.
A two-sample Mendelian randomization (MR) analysis was performed to investigate the causal relationships between three autoimmune diseases (SLE, SS, and HT, n = 14,267 to 402,090 individuals) and 191 rsfMRI phenotypes (n = 47,276 individuals), as well as 338 CSF metabolites. The genome-wide association study (GWAS) of three autoimmune diseases was used as the exposure, whereas rsfMRI phenotypes and 338 CSF metabolites were treated as the outcome. Inverse variance weighted (IVW) with P value < 0.05 was regarded as the primary approach for calculating causal estimates. Additionally, the false discovery rate (FDR)-adjusted P value (P) < 0.05 was utilized to account for multiple testing. MR Egger method, weighted median method, simple mode method and weighted mode method were used for sensitive analysis.
Our analyses identified 5 causal relationships between SLE and the 191 rsfMRI phenotypes, 48 between SS and the 191 rsfMRI phenotypes, and 4 between HT and the 191 rsfMRI phenotypes. Additionally, we found 8 causal relationships between HT and CSF metabolites. Furthermore, all three diseases were significantly associated with the temporal lobe and triple networks (default mode network (DMN), salience network (SN), and central executive network (CEN)), which are the core brain regions and functional networks for cognition. Following FDR correction, 6 causal relationships between SS and the 191 rsfMRI phenotypes were further validated.
Our study pinpoints important brain functional networks and CSF metabolites potentially implicated in the pathogenesis of psychiatric disorders associated with autoimmune diseases and highlights critical brain regions for the development of novel therapeutics.
系统性红斑狼疮(SLE)、干燥综合征(SS)和桥本甲状腺炎(HT)等自身免疫性疾病常表现出神经精神症状,包括认知障碍、抑郁、焦虑等,但其潜在关联的确切发病机制仍未完全明确。大脑静息态功能网络功能障碍和脑脊液(CSF)代谢物紊乱在精神疾病中已有广泛报道。然而,静息态功能磁共振成像(rsfMRI)和CSF代谢组学在自身免疫性精神病诊断和监测中的应用仍然有限。
进行了两样本孟德尔随机化(MR)分析,以研究三种自身免疫性疾病(SLE、SS和HT,样本量为14267至402090人)与191种rsfMRI表型(样本量为47276人)以及338种CSF代谢物之间的因果关系。将三种自身免疫性疾病的全基因组关联研究(GWAS)作为暴露因素,而将rsfMRI表型和338种CSF代谢物作为结局变量。以P值<0.05的逆方差加权(IVW)作为计算因果估计的主要方法。此外,采用错误发现率(FDR)校正后的P值(P)<0.05来校正多重检验。采用MR Egger法、加权中位数法、简单模态法和加权模态法进行敏感性分析。
我们的分析确定了SLE与191种rsfMRI表型之间的5种因果关系、SS与191种rsfMRI表型之间的48种因果关系以及HT与191种rsfMRI表型之间的4种因果关系。此外,我们发现HT与CSF代谢物之间存在8种因果关系。此外,所有三种疾病均与颞叶和三重网络(默认模式网络(DMN)、突显网络(SN)和中央执行网络(CEN))显著相关,这些是认知的核心脑区和功能网络。经FDR校正后,SS与191种rsfMRI表型之间的6种因果关系得到进一步验证。
我们的研究确定了可能与自身免疫性疾病相关的精神障碍发病机制中重要的脑功能网络和CSF代谢物,并突出了新型治疗方法开发的关键脑区。