Ping Wang, Yunpeng Tai, Xiaofang Zhu, Xinyi Wan, An Sun, Jiajia Wang, Hui Cheng, Jingwei Hong, Yi Zhang, Xiaobing Wang
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Summary data from genome-wide association studies (GWAS) on SS and brain cortical structure were analyzed using inverse-variance weighted (IVW), MR-Egger, and weighted median (WM) methods. Sensitivity analyses were performed to ensure reliability. Brain magnetic resonance imaging (MRI) scanning of a group of established but treatment-naïve SS patients were performed and assessed for validation. For TWAS (transcriptome-wide association studies), we used the RNA sequencing expression data from the Genotype-Tissue Expression version 8 (GTEx v8) for the cerebral cortex as a reference dataset and predicted the mRNA expression levels of cis-regulated genes in the cerebral cortex using linear models based on expression quantitative trait loci (eQTLs). We also used CELLECT to leverage genome-wide association study (GWAS) and single-cell RNA sequencing (scRNA-seq) data to identify pathogenic cell types.</p><p><strong>Results: </strong>The MR analysis revealed a negative genetic causal relationship between SS and brain structure (entorhinal: IVW: beta = - 3.4398, SE = 1.6954, P = 0.0425; caudal anterior cingulate gyrus: IVW: beta = - 4.2947, SE = 2.0593, P = 0.0370). Brain MRI of SS patients confirmed a reduction in the surface area of the right caudal anterior cingulate. TWAS identified genes associated with SS in the major histocompatibility complex (MHC) region and identified PRTFDC1 in the caudal anterior cingulate gyrus. Cell-type enrichment analysis indicated that excitatory glutamatergic cells are primarily involved in the brain changes associated with SS.</p><p><strong>Conclusions: </strong>This study suggests that SS is a risk factor for changes in brain cortical structure, with a reduction in the surface area of the right caudal anterior cingulate gyrus. 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Neurological involvement in SS represents one of the more severe and challenging aspects, with complications affecting the central system leading to cognitive dysfunction, sensory neuropathy, and multifocal sensorimotor neuropathies among other cortical function abnormalities. The relationship between cerebral cortex structure and neurological pathologies is well-documented, yet the impact of SS on cerebral cortex structure remains unclear.</p><p><strong>Methods: </strong>A two-sample Mendelian randomization (MR) analysis was conducted using four single-nucleotide polymorphisms (SNPs) associated with SS. Summary data from genome-wide association studies (GWAS) on SS and brain cortical structure were analyzed using inverse-variance weighted (IVW), MR-Egger, and weighted median (WM) methods. Sensitivity analyses were performed to ensure reliability. Brain magnetic resonance imaging (MRI) scanning of a group of established but treatment-naïve SS patients were performed and assessed for validation. For TWAS (transcriptome-wide association studies), we used the RNA sequencing expression data from the Genotype-Tissue Expression version 8 (GTEx v8) for the cerebral cortex as a reference dataset and predicted the mRNA expression levels of cis-regulated genes in the cerebral cortex using linear models based on expression quantitative trait loci (eQTLs). We also used CELLECT to leverage genome-wide association study (GWAS) and single-cell RNA sequencing (scRNA-seq) data to identify pathogenic cell types.</p><p><strong>Results: </strong>The MR analysis revealed a negative genetic causal relationship between SS and brain structure (entorhinal: IVW: beta = - 3.4398, SE = 1.6954, P = 0.0425; caudal anterior cingulate gyrus: IVW: beta = - 4.2947, SE = 2.0593, P = 0.0370). Brain MRI of SS patients confirmed a reduction in the surface area of the right caudal anterior cingulate. TWAS identified genes associated with SS in the major histocompatibility complex (MHC) region and identified PRTFDC1 in the caudal anterior cingulate gyrus. Cell-type enrichment analysis indicated that excitatory glutamatergic cells are primarily involved in the brain changes associated with SS.</p><p><strong>Conclusions: </strong>This study suggests that SS is a risk factor for changes in brain cortical structure, with a reduction in the surface area of the right caudal anterior cingulate gyrus. 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引用次数: 0
摘要
背景:Sjögren综合征(SS)是一种常见的慢性自身免疫性疾病。SS的神经系统受累是更严重和更具挑战性的方面之一,其并发症影响中枢系统,导致认知功能障碍、感觉神经病变和多灶感觉运动神经病变以及其他皮质功能异常。大脑皮层结构与神经系统病理之间的关系已被充分证明,但SS对大脑皮层结构的影响尚不清楚。方法:采用与SS相关的4个单核苷酸多态性(snp)进行双样本孟德尔随机化(MR)分析。采用反方差加权(IVW)、MR- egger和加权中位数(WM)方法分析SS与大脑皮质结构的全基因组关联研究(GWAS)的汇总数据。进行敏感性分析以确保可靠性。对一组已确定但treatment-naïve SS患者进行脑磁共振成像(MRI)扫描并评估其有效性。对于TWAS(转录组全关联研究),我们使用来自大脑皮层基因型-组织表达版本8 (GTEx v8)的RNA测序表达数据作为参考数据集,并使用基于表达数量性状位点(eQTLs)的线性模型预测大脑皮层中顺式调控基因的mRNA表达水平。我们还使用CELLECT来利用全基因组关联研究(GWAS)和单细胞RNA测序(scRNA-seq)数据来鉴定致病细胞类型。结果:MR分析显示SS与脑结构呈负相关遗传因果关系(内鼻:IVW: β = - 3.4398, SE = 1.6954, P = 0.0425;尾侧前扣带回:IVW: β = - 4.2947, SE = 2.0593, P = 0.0370)。SS患者的脑MRI证实右侧前扣带尾端表面积减少。TWAS在主要组织相容性复合体(MHC)区域鉴定了与SS相关的基因,并在尾端前扣带回鉴定了PRTFDC1。细胞型富集分析表明,兴奋性谷氨酸能细胞主要参与了与SS相关的大脑变化。结论:本研究提示SS是大脑皮质结构变化的危险因素,可导致右侧尾侧前扣带回表面积减少。鉴定的基因和细胞类型为SS对大脑结构影响的潜在机制提供了见解。
Sjögren's syndrome is associated with a reduction in the surface area of the right caudal anterior cingulate gyrus.
Background: Sjögren's syndrome (SS) is a common chronic autoimmune disease. Neurological involvement in SS represents one of the more severe and challenging aspects, with complications affecting the central system leading to cognitive dysfunction, sensory neuropathy, and multifocal sensorimotor neuropathies among other cortical function abnormalities. The relationship between cerebral cortex structure and neurological pathologies is well-documented, yet the impact of SS on cerebral cortex structure remains unclear.
Methods: A two-sample Mendelian randomization (MR) analysis was conducted using four single-nucleotide polymorphisms (SNPs) associated with SS. Summary data from genome-wide association studies (GWAS) on SS and brain cortical structure were analyzed using inverse-variance weighted (IVW), MR-Egger, and weighted median (WM) methods. Sensitivity analyses were performed to ensure reliability. Brain magnetic resonance imaging (MRI) scanning of a group of established but treatment-naïve SS patients were performed and assessed for validation. For TWAS (transcriptome-wide association studies), we used the RNA sequencing expression data from the Genotype-Tissue Expression version 8 (GTEx v8) for the cerebral cortex as a reference dataset and predicted the mRNA expression levels of cis-regulated genes in the cerebral cortex using linear models based on expression quantitative trait loci (eQTLs). We also used CELLECT to leverage genome-wide association study (GWAS) and single-cell RNA sequencing (scRNA-seq) data to identify pathogenic cell types.
Results: The MR analysis revealed a negative genetic causal relationship between SS and brain structure (entorhinal: IVW: beta = - 3.4398, SE = 1.6954, P = 0.0425; caudal anterior cingulate gyrus: IVW: beta = - 4.2947, SE = 2.0593, P = 0.0370). Brain MRI of SS patients confirmed a reduction in the surface area of the right caudal anterior cingulate. TWAS identified genes associated with SS in the major histocompatibility complex (MHC) region and identified PRTFDC1 in the caudal anterior cingulate gyrus. Cell-type enrichment analysis indicated that excitatory glutamatergic cells are primarily involved in the brain changes associated with SS.
Conclusions: This study suggests that SS is a risk factor for changes in brain cortical structure, with a reduction in the surface area of the right caudal anterior cingulate gyrus. The identified genes and cell types provide insights into the mechanisms underlying the effects of SS on brain structure.
期刊介绍:
BMC Medicine is an open access, transparent peer-reviewed general medical journal. It is the flagship journal of the BMC series and publishes outstanding and influential research in various areas including clinical practice, translational medicine, medical and health advances, public health, global health, policy, and general topics of interest to the biomedical and sociomedical professional communities. In addition to research articles, the journal also publishes stimulating debates, reviews, unique forum articles, and concise tutorials. All articles published in BMC Medicine are included in various databases such as Biological Abstracts, BIOSIS, CAS, Citebase, Current contents, DOAJ, Embase, MEDLINE, PubMed, Science Citation Index Expanded, OAIster, SCImago, Scopus, SOCOLAR, and Zetoc.