Understanding how perturbations in microbial mimicry promotes breakdown in tolerance to insulin

了解微生物拟态的扰动如何促进胰岛素耐受性的崩溃

• 批准号: 2888070
• 金额: --
• 依托单位: University of Oxford
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2023
• 资助国家: 英国
• 起止时间: 2023 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2888070
• 关键词: Understanding; how; perturbations; microbial; mimicry

BackgroundType 1 diabetes (T1D) is an autoimmune disease, resulting from T-cell mediated destruction of insulin-producing pancreatic islet cells. Polymorphisms of human leukocyte antigen (HLA) class II molecules are major genetic risk factors for T1D. Recently, a host-microbiome interaction, explaining HLA class II susceptibility, has been characterised1. This paper identified cross-reactive T cells that recognised microbial-mimics of insulin bound to the T1D-predisposing class II molecule DQ8. The T1D-protective HLA-DQ6 molecule strongly bound microbial mimics of insulin, consistent with a role for cross-reactive regulatory T cells (Treg) in lowering disease risk. While the T1D-predisposing HLA-DQ8 molecule bound these peptides more weakly, favouring escape of cross-reactive effector T cells (Teff) from the thymus and increased anti-insulin autoimmunity. The majority of microbial-mimics belonged to the transketolase (TKT) superfamily. TKT is an enzyme involved in processing dietary fibre and is upregulated during infant weaning2. This transition, from milk to solid food, induces rapid expansion of gut microbiota, and is a critical period for developing tolerance3. As the first autoantibodies to insulin appear most often post-weaning, at 9-18 months of age, this suggests a primary cause of autoimmune diabetes.We hypothesise that aberrant expression of microbial-TKT disrupts immune homeostasis, favouring activation of cross-reactive Teffs, to trigger autoimmunity against insulin. These perturbations are likely to be driven by dysbiotic microbial taxa, expressing inappropriate amounts of TKT. Research DesignThrough the GPPAD consortium4,5, longitudinal stool and blood samples have been collected from 670 children, with a high risk of T1D based on their genetic risk score (GRS)6. Longitudinal changes in autoantibody levels, blood metabolomes, and gut microbiome will be monitored and stratified by T1D-GRS, presence of T1D-autoantibodies, and clinical status.In our lab, from the DMech-biome project, saliva and stool samples (at 8 weeks and 8 months of age) from 445 infants have been collected. As these participants have not been selected based on T1D-GRS, they can act as a population control cohort. Interactions between the microbiome composition, HLA-haplotypes, and other genetic risk loci will be analysed. Longitudinal comparisons of metagenomic analysis will allow insights into changes in gut microbiome composition across weaning and early life. This analysis could infer changes in microbial-TKT expression, and identify potential dysbiotic microbial taxa that may promote activation of cross-reactive Teff.Development of HLA tetramers will assess the presence of cross-reactive T cells recognising both insulin and microbial-TKT peptides. Assessment of different HLA class II tetramers in combination with microbial context-molecules, coupled with fluorescent-activated cell sorting, will allow insight into how different HLA-haplotypes favour production of cross-reactive Teffs. This could assess whether tolerogenic microbial context-molecules could promote Treg production despite presentation through predisposing HLA molecules.ImpactThis project aims to assess whether development of a dysbiotic, proinflammatory microbiome in early life can increase risk of developing T1D, through inappropriate expression and presentation of microbial-TKT. Through longitudinal assessment, changes within microbiota taxa and expression of microbial-TKT can be compared to development of T1D autoantibodies and clinical status. The identification of microbial strains, important for conferring tolerance through activation of cross-reactive Treg could inform development of preventative microbiome-targeted therapies.References1. Garcia, A. R. et al MedXiv 2022 4. Ziegler, A. G. et al BMJ Open 20192. Vatanen, T. et al Nature 2018 5. Ziegler, A. G. et al BMJ Open 20213. al Nabhani, Z. et al Immunity 2019 6. Redondo

背景1型糖尿病（T1 D）是一种自身免疫性疾病，由T细胞介导的产生胰岛素的胰岛细胞的破坏引起。人类白细胞抗原（HLA）II类分子的多态性是T1 D的主要遗传危险因素。最近，宿主-微生物组相互作用，解释HLA II类易感性，已被表征1。这篇论文鉴定了交叉反应性T细胞，它们识别与T1 D易感II类分子DQ 8结合的胰岛素微生物模拟物。T1 D保护性HLA-DQ 6分子强烈结合胰岛素的微生物模拟物，这与交叉反应性调节性T细胞（Treg）在降低疾病风险中的作用一致。而T1 D易感的HLA-DQ 8分子结合这些肽的能力更弱，有利于交叉反应性效应T细胞（Teff）从胸腺中逃逸，并增加抗胰岛素自身免疫。大多数微生物模拟物属于转酮醇酶（TKT）超家族。TKT是一种参与加工膳食纤维的酶，在婴儿断奶期间上调2。从牛奶到固体食物的这种转变会导致肠道微生物群的快速扩张，并且是形成耐受性的关键时期。由于胰岛素的第一个自身抗体最常出现在断奶后，在9-18个月的年龄，这表明自身免疫性diabetes.We假设，微生物TKT的异常表达破坏免疫稳态，有利于激活交叉反应的Teffs，引发针对胰岛素的自身免疫。这些扰动可能是由微生态失调的微生物类群驱动的，表达了不适当的TKT量。研究设计通过GPPAD联盟4，5，纵向粪便和血液样本已收集670名儿童，具有高风险的T1 D的基础上，他们的遗传风险评分（GRS）6。自身抗体水平、血液代谢组和肠道微生物组的纵向变化将通过T1 D-GRS、T1 D-自身抗体的存在和临床状态进行监测和分层。在我们的实验室中，从DMech-生物组项目中，收集了445名婴儿的唾液和粪便样本（8周龄和8月龄）。由于这些受试者未根据T1 D-GRS进行选择，因此可作为人群对照队列。将分析微生物组组成、HLA单倍型和其他遗传风险基因座之间的相互作用。宏基因组分析的纵向比较将有助于深入了解断奶和早期生活中肠道微生物组组成的变化。这种分析可以推断微生物TKT表达的变化，并确定潜在的微生态失调的微生物类群，可能会促进激活的交叉反应Teff。HLA四聚体的发展将评估存在的交叉反应性T细胞识别胰岛素和微生物TKT肽。不同的HLA II类四聚体与微生物背景分子结合，再加上荧光激活细胞分选的评估，将允许深入了解不同的HLA单倍型如何有利于产生交叉反应性Teff。这可以评估致耐受性微生物背景分子是否可以促进Treg的生产，尽管通过易感HLA molecules.ImpactThis项目旨在评估是否在生命早期发展一个生态失调，促炎微生物组可以增加发展T1 D的风险，通过微生物TKT的不适当表达和呈递。通过纵向评估，可以将微生物群分类群内的变化和微生物-TKT的表达与T1 D自身抗体的发展和临床状态进行比较。微生物菌株的鉴定对于通过激活交叉反应性Treg赋予耐受性很重要，可以为预防性微生物组靶向治疗的开发提供信息。Garcia，A. R.等MedXiv 2022 4.齐格勒，A. G.等BMJ Open 20192. Vatanen，T.等Nature 2018 5.齐格勒，A. G.等BMJ Open 20213. al Nabhani，Z.等Immunity 2019 6.雷东多