Wang Mengxuan, Wang Shuo, Yuan Guoshan, Gao Mingzhou, Zhao Xiyan, Chu Zhenhan, Gao Dongmei
Department of Traditional Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan, China.
Department of Intelligent and Information Engineering, Shandong University of Traditional Chinese Medicine, Jinan, China.
Front Psychiatry. 2024 Aug 16;15:1411280. doi: 10.3389/fpsyt.2024.1411280. eCollection 2024.
The understanding of the immunological mechanisms underlying bipolar disorder (BD) has enhanced in recent years due to the extensive use of high-density genetic markers for genotyping and advancements in genome-wide association studies (GWAS). However, studies on the relationship between immune cells and the risk of BD remain limited, necessitating further investigation.
Bidirectional two-sample Mendelian Randomization (MR) analysis was employed to investigate the causal association between immune cell morphologies and bipolar disorder. Immune cell traits were collected from a research cohort in Sardinia, whereas the GWAS summary statistics for BD were obtained from the Psychiatric Genomics Consortium. Sensitivity analyses were conducted, and the combination of MR-Egger and MR-Presso was used to assess horizontal pleiotropy. Cochran's Q test was employed to evaluate heterogeneity, and the results were adjusted for false discovery rate (FDR).
The study identified six immune cell phenotypes significantly associated with BD incidence (< 0.01). These phenotypes include IgD- CD27- %lymphocyte, CD33br HLA DR+ CD14- AC, CD8 on CD28+ CD45RA+ CD8br, CD33br HLA DR+ AC, CD14 on CD14+ CD16+ monocyte, and HVEM on CD45RA- CD4+. After adjusting the FDR to 0.2, two immune cell phenotypes remained statistically significant: IgD-CD27-% lymphocyte (OR=1.099, 95% CI: 1.051-1.149, = 3.51E-05, FDR=0.026) and CD33br HLA DR+ CD14-AC (OR=0.981, 95% CI: 0.971-0.991, = 2.17E-04, FDR=0.079). In the reverse MR analysis, BD significantly impacted the phenotypes of four monocytes (< 0.01), including CD64 on CD14+ CD16+ monocyte, CD64 on monocyte, CX3CR1 on CD14- CD16-, CD64 on CD14+ CD16- monocyte. However, after applying the FDR correction (FDR < 0.2), no statistically significant results were observed.
This MR investigation reveals associations between immune cell phenotypes, bipolar disorder, and genetics, providing novel perspectives on prospective therapeutic targets for bipolar disorder.
近年来,由于广泛使用高密度基因标记进行基因分型以及全基因组关联研究(GWAS)的进展,人们对双相情感障碍(BD)潜在的免疫机制有了更深入的了解。然而,关于免疫细胞与BD风险之间关系的研究仍然有限,有必要进一步调查。
采用双向双样本孟德尔随机化(MR)分析来研究免疫细胞形态与双相情感障碍之间的因果关系。免疫细胞特征数据来自撒丁岛的一个研究队列,而BD的GWAS汇总统计数据则取自精神基因组学联盟。进行了敏感性分析,并使用MR-Egger和MR-Presso相结合的方法来评估水平多效性。采用 Cochr an's Q检验来评估异质性,并对结果进行错误发现率(FDR)校正。
该研究确定了六种与BD发病率显著相关的免疫细胞表型(<0.01)。这些表型包括IgD-CD27-%淋巴细胞、CD33br HLA DR+ CD14- AC、CD28+ CD45RA+ CD8br上的CD8、CD33br HLA DR+ AC、CD14+ CD16+单核细胞上的CD14以及CD45RA-CD4+上的HVEM。在将FDR校正至0.2后,两种免疫细胞表型仍具有统计学意义:IgD-CD27-%淋巴细胞(OR = 1.099,95%CI:1.051 - 1.149,P = 3.51E - 05,FDR = 0.026)和CD33br HLA DR+ CD14-AC(OR = 0.981,95%CI:0.971 - 0.991,P = 2.17E - 04,FDR = 0.079)。在反向MR分析中,BD显著影响了四种单核细胞的表型(<0.01),包括CD14+ CD16+单核细胞上的CD64、单核细胞上的CD64、CD14-CD16-上的CX3CR1、CD14+ CD16-单核细胞上的CD64。然而,在应用FDR校正(FDR < 0.2)后,未观察到具有统计学意义的结果。
这项MR研究揭示了免疫细胞表型、双相情感障碍和遗传学之间的关联,为双相情感障碍的前瞻性治疗靶点提供了新的视角。