免疫细胞如何影响1型糖尿病?孟德尔随机化的启示。

IF 3.9 2区 医学 Q2 ENDOCRINOLOGY & METABOLISM Frontiers in Endocrinology Pub Date : 2024-12-24 eCollection Date: 2024-01-01 DOI:10.3389/fendo.2024.1402956
Yunfeng Yu, Xinyu Yang, Juan Deng, Jingyi Wu, Siyang Bai, Rong Yu
{"title":"免疫细胞如何影响1型糖尿病?孟德尔随机化的启示。","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. 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. 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\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Frontiers in Endocrinology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.3389/fendo.2024.1402956\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q2\",\"JCRName\":\"ENDOCRINOLOGY & METABOLISM\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Frontiers in Endocrinology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.3389/fendo.2024.1402956","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/1/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"ENDOCRINOLOGY & METABOLISM","Score":null,"Total":0}
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。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
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.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Frontiers in Endocrinology
Frontiers in Endocrinology Medicine-Endocrinology, Diabetes and Metabolism
CiteScore
5.70
自引率
9.60%
发文量
3023
审稿时长
14 weeks
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.
期刊最新文献
Association between neutrophil-to-lymphocyte ratio and left ventricular diastolic dysfunction in patients with type 2 diabetes mellitus. Association between the triglyceride/high-density lipoprotein (TG/HDL) ratio and incidence of gout: A nationwide cohort study. Corrigendum: Evaluation of the risk of hypothyroidism and its clinical manifestations using the Zulewski scale. Editorial: Integrated multi-omic studies of metabolic syndrome, diabetes and insulin-related disorders: mechanisms, biomarkers, and therapeutic targets. Evaluating the impact of visceral fat on the outcomes of frozen embryo transfer via bioelectrical impedance analysis.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1