• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

全基因组功能基因组学方法揭示 1 型糖尿病免疫表型的遗传决定因素。

A genome-wide functional genomics approach uncovers genetic determinants of immune phenotypes in type 1 diabetes.

机构信息

Department of Genetics, University of Groningen, University Medical Center Groningen, Groningen, Netherlands.

Centre for Individualised Infection Medicine, CiiM, a joint venture between the Hannover Medical School and the Helmholtz Centre for Infection Research, Hannover, Germany.

出版信息

Elife. 2022 May 31;11:e73709. doi: 10.7554/eLife.73709.

DOI:10.7554/eLife.73709
PMID:35638288
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9205632/
Abstract

BACKGROUND

The large inter-individual variability in immune-cell composition and function determines immune responses in general and susceptibility o immune-mediated diseases in particular. While much has been learned about the genetic variants relevant for type 1 diabetes (T1D), the pathophysiological mechanisms through which these variations exert their effects remain unknown.

METHODS

Blood samples were collected from 243 patients with T1D of Dutch descent. We applied genetic association analysis on >200 immune-cell traits and >100 cytokine production profiles in response to stimuli measured to identify genetic determinants of immune function, and compared the results obtained in T1D to healthy controls.

RESULTS

Genetic variants that determine susceptibility to T1D significantly affect T cell composition. Specifically, the CCR5+ regulatory T cells associate with T1D through the CCR region, suggesting a shared genetic regulation. Genome-wide quantitative trait loci (QTLs) mapping analysis of immune traits revealed 15 genetic loci that influence immune responses in T1D, including 12 that have never been reported in healthy population studies, implying a disease-specific genetic regulation.

CONCLUSIONS

This study provides new insights into the genetic factors that affect immunological responses in T1D.

FUNDING

This work was supported by an ERC starting grant (no. 948207) and a Radboud University Medical Centre Hypatia grant (2018) to YL and an ERC advanced grant (no. 833247) and a Spinoza grant of the Netherlands Association for Scientific Research to MGN CT received funding from the Perspectief Biomarker Development Center Research Programme, which is (partly) financed by the Netherlands Organisation for Scientific Research (NWO). AJ was funded by a grant from the European Foundation for the Study of Diabetes (EFSD/AZ Macrovascular Programme 2015). XC was supported by the China Scholarship Council (201706040081).

摘要

背景

个体间免疫细胞组成和功能的巨大差异决定了一般的免疫反应,特别是免疫介导疾病的易感性。虽然已经了解了与 1 型糖尿病(T1D)相关的遗传变异,但这些变异发挥作用的病理生理机制仍不清楚。

方法

我们从 243 名荷兰裔 T1D 患者中采集了血液样本。我们应用遗传关联分析方法,对 >200 种免疫细胞特征和 >100 种细胞因子产生谱进行了研究,以确定免疫功能的遗传决定因素,并将在 T1D 中获得的结果与健康对照组进行了比较。

结果

决定 T1D 易感性的遗传变异显著影响 T 细胞组成。具体来说,CCR5+调节性 T 细胞通过 CCR 区域与 T1D 相关,表明存在共同的遗传调控。对免疫特征进行全基因组数量性状基因座(QTL)映射分析,发现了 15 个影响 T1D 免疫反应的遗传位点,其中包括 12 个在健康人群研究中从未报道过的位点,这意味着存在特定于疾病的遗传调控。

结论

这项研究为影响 T1D 免疫反应的遗传因素提供了新的见解。

资金

这项工作得到了 ERC 起始资助(编号 948207)和 Radboud 大学医学中心 Hypatia 资助(2018 年)(编号 948207),用于 YL,以及 ERC 高级资助(编号 833247)和荷兰科学研究组织的 Spinoza 资助(编号 833247),用于 MGN CT 从 Perspectief Biomarker Development Center Research Programme 获得资金,该计划部分由荷兰科学研究组织(NWO)资助。AJ 得到了欧洲糖尿病研究基金会(EFSD/AZ 大血管计划 2015 年)的资助。XC 得到了中国国家留学基金委(201706040081)的支持。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cd81/9205632/849de5f63b1e/elife-73709-fig4-figsupp3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cd81/9205632/a155ece634e8/elife-73709-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cd81/9205632/a65cb3108a3d/elife-73709-fig1-figsupp1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cd81/9205632/bd9a48a47376/elife-73709-fig1-figsupp2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cd81/9205632/5d5123f6d51c/elife-73709-fig1-figsupp3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cd81/9205632/1e275010f3a9/elife-73709-fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cd81/9205632/13a64443d5ad/elife-73709-fig2-figsupp1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cd81/9205632/e9fd622e0e25/elife-73709-fig2-figsupp2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cd81/9205632/7fb0a2f523ea/elife-73709-fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cd81/9205632/fb761f437ec6/elife-73709-fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cd81/9205632/1a6d77e66a7b/elife-73709-fig4-figsupp1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cd81/9205632/bc067e8f0d14/elife-73709-fig4-figsupp2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cd81/9205632/849de5f63b1e/elife-73709-fig4-figsupp3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cd81/9205632/a155ece634e8/elife-73709-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cd81/9205632/a65cb3108a3d/elife-73709-fig1-figsupp1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cd81/9205632/bd9a48a47376/elife-73709-fig1-figsupp2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cd81/9205632/5d5123f6d51c/elife-73709-fig1-figsupp3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cd81/9205632/1e275010f3a9/elife-73709-fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cd81/9205632/13a64443d5ad/elife-73709-fig2-figsupp1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cd81/9205632/e9fd622e0e25/elife-73709-fig2-figsupp2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cd81/9205632/7fb0a2f523ea/elife-73709-fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cd81/9205632/fb761f437ec6/elife-73709-fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cd81/9205632/1a6d77e66a7b/elife-73709-fig4-figsupp1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cd81/9205632/bc067e8f0d14/elife-73709-fig4-figsupp2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cd81/9205632/849de5f63b1e/elife-73709-fig4-figsupp3.jpg

相似文献

1
A genome-wide functional genomics approach uncovers genetic determinants of immune phenotypes in type 1 diabetes.全基因组功能基因组学方法揭示 1 型糖尿病免疫表型的遗传决定因素。
Elife. 2022 May 31;11:e73709. doi: 10.7554/eLife.73709.
2
Identification of autosomal cis expression quantitative trait methylation (cis eQTMs) in children's blood.鉴定儿童血液中常染色体顺式表达数量性状甲基化(cis-eQTMs)。
Elife. 2022 Mar 18;11:e65310. doi: 10.7554/eLife.65310.
3
A comprehensive integrated post-GWAS analysis of Type 1 diabetes reveals enhancer-based immune dysregulation.一项针对 1 型糖尿病的全基因组关联研究后综合分析揭示了基于增强子的免疫失调。
PLoS One. 2021 Sep 16;16(9):e0257265. doi: 10.1371/journal.pone.0257265. eCollection 2021.
4
Untangling the genetic link between type 1 and type 2 diabetes using functional genomics.利用功能基因组学解开 1 型和 2 型糖尿病之间的遗传关联。
Sci Rep. 2021 Jul 6;11(1):13871. doi: 10.1038/s41598-021-93346-x.
5
GWAS and ExWAS of blood mitochondrial DNA copy number identifies 71 loci and highlights a potential causal role in dementia.全基因组关联分析和外显子组关联分析血液线粒体 DNA 拷贝数鉴定出 71 个位点,并突出了其在痴呆症中潜在的因果作用。
Elife. 2022 Jan 13;11:e70382. doi: 10.7554/eLife.70382.
6
Genome-wide association study on coronary artery disease in type 1 diabetes suggests beta-defensin 127 as a risk locus.全基因组关联研究表明,1 型糖尿病患者的冠状动脉疾病与β-防御素 127 风险基因座相关。
Cardiovasc Res. 2021 Jan 21;117(2):600-612. doi: 10.1093/cvr/cvaa045.
7
Haplotype function score improves biological interpretation and cross-ancestry polygenic prediction of human complex traits.单体型功能评分可改善人类复杂性状的生物学解释和跨血统多基因预测。
Elife. 2024 Apr 19;12:RP92574. doi: 10.7554/eLife.92574.
8
Integration of genomics and transcriptomics predicts diabetic retinopathy susceptibility genes.基因组学和转录组学的整合预测糖尿病视网膜病变易感性基因。
Elife. 2020 Nov 9;9:e59980. doi: 10.7554/eLife.59980.
9
A proteome-wide genetic investigation identifies several SARS-CoV-2-exploited host targets of clinical relevance.一项蛋白质组学全基因组遗传研究鉴定出了几个与临床相关的新冠病毒利用的宿主靶标。
Elife. 2021 Aug 17;10:e69719. doi: 10.7554/eLife.69719.
10
Systematic Evaluation of Genes and Genetic Variants Associated with Type 1 Diabetes Susceptibility.与1型糖尿病易感性相关的基因和遗传变异的系统评价
J Immunol. 2016 Apr 1;196(7):3043-53. doi: 10.4049/jimmunol.1502056. Epub 2016 Feb 24.

引用本文的文献

1
Genetic and molecular landscape of comorbidities in people living with HIV.HIV感染者共病的遗传和分子格局
Nat Med. 2025 Aug 20. doi: 10.1038/s41591-025-03887-1.
2
Genetics of circulating proteins in newborn babies at high risk of type 1 diabetes.1型糖尿病高危新生儿循环蛋白的遗传学研究
Nat Commun. 2025 Apr 22;16(1):3750. doi: 10.1038/s41467-025-58972-3.
3
Identifying genetic variants that influence the abundance of cell states in single-cell data.鉴定影响单细胞数据中细胞状态丰度的遗传变异。

本文引用的文献

1
Toll-like Receptors and the Control of Immunity. toll 样受体与免疫的调控。
Cell. 2020 Mar 19;180(6):1044-1066. doi: 10.1016/j.cell.2020.02.041. Epub 2020 Mar 11.
2
Expression Atlas update: from tissues to single cells.表达图谱更新:从组织到单细胞。
Nucleic Acids Res. 2020 Jan 8;48(D1):D77-D83. doi: 10.1093/nar/gkz947.
3
PhenoScanner V2: an expanded tool for searching human genotype-phenotype associations.PhenoScanner V2:一个扩展的搜索人类基因型-表型关联的工具。
Nat Genet. 2024 Oct;56(10):2068-2077. doi: 10.1038/s41588-024-01909-1. Epub 2024 Sep 26.
4
A comprehensive genetic map of cytokine responses in Lyme borreliosis.莱姆病细胞因子反应的综合遗传图谱。
Nat Commun. 2024 May 7;15(1):3795. doi: 10.1038/s41467-024-47505-z.
5
Overnutrition and Lipotoxicity: Impaired Efferocytosis and Chronic Inflammation as Precursors to Multifaceted Disease Pathogenesis.营养过剩与脂毒性:作为多方面疾病发病机制先兆的吞噬作用受损和慢性炎症
Biology (Basel). 2024 Apr 6;13(4):241. doi: 10.3390/biology13040241.
6
Benefits and risks of drug combination therapy for diabetes mellitus and its complications: a comprehensive review.糖尿病及其并发症药物联合治疗的获益与风险:全面综述。
Front Endocrinol (Lausanne). 2023 Dec 19;14:1301093. doi: 10.3389/fendo.2023.1301093. eCollection 2023.
7
Identifying genetic variants that influence the abundance of cell states in single-cell data.在单细胞数据中识别影响细胞状态丰度的基因变异。
bioRxiv. 2023 Nov 15:2023.11.13.566919. doi: 10.1101/2023.11.13.566919.
Bioinformatics. 2019 Nov 1;35(22):4851-4853. doi: 10.1093/bioinformatics/btz469.
4
The NHGRI-EBI GWAS Catalog of published genome-wide association studies, targeted arrays and summary statistics 2019.NHGRI-EBI GWAS Catalog 于 2019 年发布的已发表全基因组关联研究、靶向基因芯片和汇总统计数据
Nucleic Acids Res. 2019 Jan 8;47(D1):D1005-D1012. doi: 10.1093/nar/gky1120.
5
Functional mapping and annotation of genetic associations with FUMA.使用 FUMA 进行遗传关联的功能映射和注释。
Nat Commun. 2017 Nov 28;8(1):1826. doi: 10.1038/s41467-017-01261-5.
6
Expansion of FasL-Expressing CD5 B Cells in Type 1 Diabetes Patients.1型糖尿病患者中表达FasL的CD5 B细胞的扩增。
Front Immunol. 2017 Apr 7;8:402. doi: 10.3389/fimmu.2017.00402. eCollection 2017.
7
The druggable genome and support for target identification and validation in drug development.可成药基因组以及对药物研发中靶点识别与验证的支持。
Sci Transl Med. 2017 Mar 29;9(383). doi: 10.1126/scitranslmed.aag1166.
8
Differential Effects of Environmental and Genetic Factors on T and B Cell Immune Traits.环境和遗传因素对T细胞和B细胞免疫特征的差异影响。
Cell Rep. 2016 Nov 22;17(9):2474-2487. doi: 10.1016/j.celrep.2016.10.053. Epub 2016 Nov 3.
9
Host and Environmental Factors Influencing Individual Human Cytokine Responses.影响个体人类细胞因子反应的宿主和环境因素
Cell. 2016 Nov 3;167(4):1111-1124.e13. doi: 10.1016/j.cell.2016.10.018.
10
A Functional Genomics Approach to Understand Variation in Cytokine Production in Humans.一种功能基因组学方法,用于了解人类细胞因子产生的变异。
Cell. 2016 Nov 3;167(4):1099-1110.e14. doi: 10.1016/j.cell.2016.10.017.