Yunfeng Yu, Xinyu Yang, Juan Deng, Jingyi Wu, Siyang Bai, Rong Yu
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Cochran's <i>Q</i> and the leave-one-out method were respectively used for the heterogeneity analysis and the sensitivity analysis of the results.</p><p><strong>Results: </strong>MR analysis showed that effector memory (EM) double-negative (DN) (CD4<sup>-</sup>CD8<sup>-</sup>) %T cells [odds ratio (OR) = 1.157, 95% confidence interval (95% CI) = 1.016-1.318, <i>p</i> = 0.028, false discovery rate (FDR) = 0.899], EM CD8<sup>br</sup> %T cells (OR = 1.049, 95% CI = 1.003-1.098, <i>p</i> = 0.037, FDR = 0.902), CD28 on CD28<sup>+</sup>CD45RA<sup>+</sup>CD8<sup>br</sup> (OR = 1.334, 95% CI = 1.132-1.571, <i>p</i> = 0.001, FDR = 0.044), IgD<sup>+</sup>CD38<sup>dim</sup> %lymphocytes (OR = 1.045, 95% CI = 1.002-1.089, <i>p</i> = 0.039, FDR = 0.902), CD80 on monocytes (OR = 1.084, 95% CI = 1.013-1.161, <i>p</i> = 0.020, FDR = 0.834), SSC-A on plasmacytoid dendritic cells (pDCs) (OR = 1.174, 95% CI = 1.004-1.372, <i>p</i> = 0.044, FDR = 0.902), and FSC-A on pDCs (OR = 1.182, 95% CI = 1.011-1.382, <i>p</i> = 0.036, FDR = 0.902) were associated with an increased genetic susceptibility to T1D. Cochran's <i>Q</i> showed that there was heterogeneity for CD28 on the CD28<sup>+</sup>CD45RA<sup>+</sup>CD8<sup>br</sup> results (<i>p</i> = 0.043), whereas there was no heterogeneity for the other results (<i>p</i> ≥ 0.05). The sensitivity analysis showed that the MR analysis results were robust.</p><p><strong>Conclusion: </strong>The MR analysis demonstrated that seven immune cell phenotypes were associated with an increased genetic susceptibility to T1D. These findings provide a new direction for the pathogenesis of and the drug development for T1D.</p>","PeriodicalId":12447,"journal":{"name":"Frontiers in Endocrinology","volume":"15 ","pages":"1402956"},"PeriodicalIF":3.9000,"publicationDate":"2024-12-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11703746/pdf/","citationCount":"0","resultStr":"{\"title\":\"How do immune cells shape type 1 diabetes? Insights from Mendelian randomization.\",\"authors\":\"Yunfeng Yu, Xinyu Yang, Juan Deng, Jingyi Wu, Siyang Bai, Rong Yu\",\"doi\":\"10.3389/fendo.2024.1402956\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objective: </strong>The role of immune cells in type 1 diabetes (T1D) is unclear. The aim of this study was to assess the causal effect of different immune cells on T1D using Mendelian randomization (MR).</p><p><strong>Methods: </strong>A dataset of immune cell phenotypes (numbered from GCST0001391 to GCST0002121) was obtained from the European Bioinformatics Institute, while a T1D dataset (numbered finngen_R10_T1D) was obtained from FinnGen. Single nucleotide polymorphisms meeting the conditions were screened stepwise according to the assumptions of association, independence, and exclusivity. Inverse variance weighted was used as the main method for the MR analysis. MR-Egger was used to assess the horizontal pleiotropy of the results. Cochran's <i>Q</i> and the leave-one-out method were respectively used for the heterogeneity analysis and the sensitivity analysis of the results.</p><p><strong>Results: </strong>MR analysis showed that effector memory (EM) double-negative (DN) (CD4<sup>-</sup>CD8<sup>-</sup>) %T cells [odds ratio (OR) = 1.157, 95% confidence interval (95% CI) = 1.016-1.318, <i>p</i> = 0.028, false discovery rate (FDR) = 0.899], EM CD8<sup>br</sup> %T cells (OR = 1.049, 95% CI = 1.003-1.098, <i>p</i> = 0.037, FDR = 0.902), CD28 on CD28<sup>+</sup>CD45RA<sup>+</sup>CD8<sup>br</sup> (OR = 1.334, 95% CI = 1.132-1.571, <i>p</i> = 0.001, FDR = 0.044), IgD<sup>+</sup>CD38<sup>dim</sup> %lymphocytes (OR = 1.045, 95% CI = 1.002-1.089, <i>p</i> = 0.039, FDR = 0.902), CD80 on monocytes (OR = 1.084, 95% CI = 1.013-1.161, <i>p</i> = 0.020, FDR = 0.834), SSC-A on plasmacytoid dendritic cells (pDCs) (OR = 1.174, 95% CI = 1.004-1.372, <i>p</i> = 0.044, FDR = 0.902), and FSC-A on pDCs (OR = 1.182, 95% CI = 1.011-1.382, <i>p</i> = 0.036, FDR = 0.902) were associated with an increased genetic susceptibility to T1D. 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引用次数: 0
摘要
目的:免疫细胞在1型糖尿病(T1D)中的作用尚不清楚。本研究的目的是利用孟德尔随机化(MR)来评估不同免疫细胞对T1D的因果影响。方法:从欧洲生物信息学研究所获得免疫细胞表型数据集(编号为GCST0001391至GCST0002121),从FinnGen获得T1D数据集(编号为finngen_R10_T1D)。根据关联、独立性和排他性的假设,逐步筛选满足条件的单核苷酸多态性。方差逆加权是MR分析的主要方法。用MR-Egger来评估结果的水平多效性。采用Cochran’s Q法和leave- out法对结果进行异质性分析和敏感性分析。结果:分析表明,记忆效应先生(EM)双重否定(DN) (CD4-CD8) % T细胞(比值比(或)= 1.157,95%置信区间(95% CI) = 1.016 - -1.318, p = 0.028,错误发现率(罗斯福)= 0.899],EM CD8br % T细胞(OR = 1.049, 95% CI -1.098 = 1.003, p = 0.037,罗斯福= 0.902),在CD28 + CD45RA + CD28 CD8br (OR = 1.334, 95% CI -1.571 = 1.132, p = 0.001,罗斯福= 0.044),IgD + CD38dim %淋巴细胞(OR = 1.045, 95% CI -1.089 = 1.002, p = 0.039,罗斯福= 0.902),CD80单核细胞(或= 1.084,95% CI = 1.013-1.161, p = 0.020, FDR = 0.834),浆细胞样树突状细胞(pDCs)上的SSC-A (OR = 1.174, 95% CI = 1.004-1.372, p = 0.044, FDR = 0.902)和pDCs上的FSC-A (OR = 1.182, 95% CI = 1.011-1.382, p = 0.036, FDR = 0.902)与T1D遗传易感性增加相关。Cochran’s Q显示CD28在CD28+CD45RA+CD8br结果上存在异质性(p = 0.043),而其他结果不存在异质性(p≥0.05)。敏感性分析表明,MR分析结果是稳健的。结论:MR分析表明,7种免疫细胞表型与T1D遗传易感性增加有关。这些发现为T1D的发病机制和药物开发提供了新的方向。
How do immune cells shape type 1 diabetes? Insights from Mendelian randomization.
Objective: The role of immune cells in type 1 diabetes (T1D) is unclear. The aim of this study was to assess the causal effect of different immune cells on T1D using Mendelian randomization (MR).
Methods: A dataset of immune cell phenotypes (numbered from GCST0001391 to GCST0002121) was obtained from the European Bioinformatics Institute, while a T1D dataset (numbered finngen_R10_T1D) was obtained from FinnGen. Single nucleotide polymorphisms meeting the conditions were screened stepwise according to the assumptions of association, independence, and exclusivity. Inverse variance weighted was used as the main method for the MR analysis. MR-Egger was used to assess the horizontal pleiotropy of the results. Cochran's Q and the leave-one-out method were respectively used for the heterogeneity analysis and the sensitivity analysis of the results.
Results: MR analysis showed that effector memory (EM) double-negative (DN) (CD4-CD8-) %T cells [odds ratio (OR) = 1.157, 95% confidence interval (95% CI) = 1.016-1.318, p = 0.028, false discovery rate (FDR) = 0.899], EM CD8br %T cells (OR = 1.049, 95% CI = 1.003-1.098, p = 0.037, FDR = 0.902), CD28 on CD28+CD45RA+CD8br (OR = 1.334, 95% CI = 1.132-1.571, p = 0.001, FDR = 0.044), IgD+CD38dim %lymphocytes (OR = 1.045, 95% CI = 1.002-1.089, p = 0.039, FDR = 0.902), CD80 on monocytes (OR = 1.084, 95% CI = 1.013-1.161, p = 0.020, FDR = 0.834), SSC-A on plasmacytoid dendritic cells (pDCs) (OR = 1.174, 95% CI = 1.004-1.372, p = 0.044, FDR = 0.902), and FSC-A on pDCs (OR = 1.182, 95% CI = 1.011-1.382, p = 0.036, FDR = 0.902) were associated with an increased genetic susceptibility to T1D. Cochran's Q showed that there was heterogeneity for CD28 on the CD28+CD45RA+CD8br results (p = 0.043), whereas there was no heterogeneity for the other results (p ≥ 0.05). The sensitivity analysis showed that the MR analysis results were robust.
Conclusion: The MR analysis demonstrated that seven immune cell phenotypes were associated with an increased genetic susceptibility to T1D. These findings provide a new direction for the pathogenesis of and the drug development for T1D.
期刊介绍:
Frontiers in Endocrinology is a field journal of the "Frontiers in" journal series.
In today’s world, endocrinology is becoming increasingly important as it underlies many of the challenges societies face - from obesity and diabetes to reproduction, population control and aging. Endocrinology covers a broad field from basic molecular and cellular communication through to clinical care and some of the most crucial public health issues. The journal, thus, welcomes outstanding contributions in any domain of endocrinology.
Frontiers in Endocrinology publishes articles on the most outstanding discoveries across a wide research spectrum of Endocrinology. The mission of Frontiers in Endocrinology is to bring all relevant Endocrinology areas together on a single platform.