Ouyang Di, Huang Chunying, Liu Huihua, Xie Weiming, Chen Chengsheng, Su Ben, Guo Lizhong
Nanjing University of Chinese Medicine, Nanjing, China.
Traditional Chinese Medicine Hospital of Yulin, Yulin, China.
Front Neurol. 2024 Feb 7;15:1301208. doi: 10.3389/fneur.2024.1301208. eCollection 2024.
Migraine is a common neurological disorder that affects more than one billion people worldwide. Recent genome-wide association studies have identified 123 genetic loci associated with migraine risk. However, the biological mechanisms underlying migraine and its relationships with other complex diseases remain unclear. We performed a phenome-wide association study (PheWAS) using UK Biobank data to investigate associations between migraine and 416 phenotypes. Mendelian randomization was employed using the IVW method. For loci associated with multiple diseases, pleiotropy was tested using MR-Egger. Single-cell RNA sequencing data was analyzed to profile the expression of 73 migraine susceptibility genes across brain cell types. qPCR was used to validate the expression of selected genes in microglia. PheWAS identified 15 disorders significantly associated with migraine, with one association detecting potential pleiotropy. Single-cell analysis revealed elevated expression of seven susceptibility genes (including ZEB2, RUNX1, SLC24A3, ANKDD1B, etc.) in brain glial cells. And qPCR confirmed the upregulation of these genes in LPS-treated microglia. This multimodal analysis provides novel insights into the link between migraine and other diseases. The single-cell profiling suggests the involvement of specific brain cells and molecular pathways. Validation of gene expression in microglia supports their potential role in migraine pathology. Overall, this study uncovers pleiotropic relationships and the biological underpinnings of migraine susceptibility.
偏头痛是一种常见的神经系统疾病,全球有超过10亿人受其影响。最近的全基因组关联研究已经确定了123个与偏头痛风险相关的基因位点。然而,偏头痛背后的生物学机制及其与其他复杂疾病的关系仍不清楚。我们使用英国生物银行的数据进行了一项全表型组关联研究(PheWAS),以调查偏头痛与416种表型之间的关联。采用逆方差加权法进行孟德尔随机化分析。对于与多种疾病相关的基因位点,使用MR-Egger检验多效性。分析单细胞RNA测序数据,以描绘73个偏头痛易感基因在不同脑细胞类型中的表达情况。使用qPCR验证小胶质细胞中选定基因的表达。PheWAS确定了15种与偏头痛显著相关的疾病,其中一种关联检测到潜在的多效性。单细胞分析显示,脑胶质细胞中7个易感基因(包括ZEB2、RUNX1、SLC24A3、ANKDD1B等)的表达升高。qPCR证实了这些基因在脂多糖处理的小胶质细胞中的上调。这种多模态分析为偏头痛与其他疾病之间的联系提供了新的见解。单细胞分析表明特定脑细胞和分子途径的参与。小胶质细胞中基因表达的验证支持了它们在偏头痛病理中的潜在作用。总体而言,本研究揭示了偏头痛易感性的多效性关联和生物学基础。