Interactions Between Host Genetics and the Gut Microbiome in CNS Autoimmunity
中枢神经系统自身免疫中宿主遗传学与肠道微生物组之间的相互作用
基本信息
- 批准号:10093145
- 负责人:
- 金额:$ 34.13万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2017
- 资助国家:美国
- 起止时间:2017-03-15 至 2024-01-31
- 项目状态:已结题
- 来源:
- 关键词:16S ribosomal RNA sequencingAddressAffectAnimal ModelAntibiotic TherapyAutoimmuneAutoimmune DiseasesAxonBacteriaCNS autoimmune diseaseCNS autoimmunityCentral Nervous System DiseasesChromosomesClinicalCollectionComplexConsomic StrainDataDemyelinationsDeveloped CountriesDiagnosticDiseaseDisease susceptibilityEcosystemEnvironmentEnvironmental Risk FactorEtiologyEvaluationExhibitsExperimental Autoimmune EncephalomyelitisFemaleFosteringGene ExpressionGenesGeneticGenetic VariationGenetic studyGerm-FreeGliosisGoalsHealthHealthcareHousingHumanImmuneIncidenceIndividualInflammatoryIntestinesLaboratory miceLinkMapsModelingMouse StrainsMultiple SclerosisMusNeurologicNeurologic DysfunctionsOutcomePhenotypePhysiologyPlayPopulationPredispositionPrevalenceRiskRisk FactorsRoleSeveritiesShapesSystemTestingTherapeuticVariantWorkcare burdencongenicconsomicdisabilitydisorder riskdysbiosisepidemiology studyexperimental studyfrontiergene environment interactiongenome-widegut colonizationgut microbiomegut microbiotahuman diseasemalemicrobiomemicrobiome compositionmicrobiotamicrobiota transplantationmicroorganismmouse geneticsmultiple sclerosis patientneuroinflammationnext generationnovelrate of changesegregationsextooltransmission processyoung adult
项目摘要
Project Summary
Multiple sclerosis (MS) is a devastating autoimmune neuroinflammatory disease with a strikingly increasing
incidence world-wide, implicating the influence of environmental factors. While genetics of MS are beginning to
be understood, they can account for at most ~30% of the disease risk. The remainder of the disease risk is
accounted for by environmental factors and gene-by-environment (G×E) interactions. Mechanisms of G×E in
MS are not well understood, and are difficult to study in humans. Mounting evidence implicates a novel
environmental risk factor for MS: dysregulation of the gut microbiome. In this application, we propose to take a
genome-wide approach to identify gene × microbiome interactions in a novel and powerful mouse genetics
system. These studies cannot be carried out in humans, and they will provide important mechanistic
understanding of G×E in autoimmune disease of the CNS, and deliver cause vs. effect distinctions that are
lacking in epidemiologic studies.
项目概要
多发性硬化症(MS)是一种破坏性的自身免疫性神经炎症性疾病,其发病率急剧增加
世界范围内的发病率,涉及环境因素的影响。虽然多发性硬化症的遗传学已开始
可以理解的是,它们最多可占疾病风险的 30% 左右。其余的疾病风险是
由环境因素和基因与环境(G×E)相互作用来解释。 G×E 的机制
多发性硬化症目前还没有被很好地理解,并且很难在人类身上进行研究。越来越多的证据暗示一部小说
MS 的环境危险因素:肠道微生物组失调。在此应用中,我们建议采取
全基因组方法来识别新型且强大的小鼠遗传学中基因×微生物组的相互作用
系统。这些研究无法在人体中进行,但它们将提供重要的机制
了解中枢神经系统自身免疫性疾病中的 G×E,并提供因果区别
缺乏流行病学研究。
项目成果
期刊论文数量(3)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Probiotic and commensal gut microbial therapies in multiple sclerosis and its animal models: a comprehensive review.
- DOI:10.1080/19490976.2021.1943289
- 发表时间:2021-01
- 期刊:
- 影响因子:12.2
- 作者:Blais LL;Montgomery TL;Amiel E;Deming PB;Krementsov DN
- 通讯作者:Krementsov DN
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Dimitry N Krementsov其他文献
Dimitry N Krementsov的其他文献
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{{ truncateString('Dimitry N Krementsov', 18)}}的其他基金
Novel mouse models to dissect the role of genetics, sex, and environment in heterogeneous outcomes in CNS autoimmune disease
新型小鼠模型可剖析遗传、性别和环境在中枢神经系统自身免疫性疾病异质性结果中的作用
- 批准号:
10680560 - 财政年份:2022
- 资助金额:
$ 34.13万 - 项目类别:
Novel mouse models to dissect the role of genetics, sex, and environment in heterogeneous outcomes in CNS autoimmune disease
新型小鼠模型可剖析遗传、性别和环境在中枢神经系统自身免疫性疾病异质性结果中的作用
- 批准号:
10538863 - 财政年份:2022
- 资助金额:
$ 34.13万 - 项目类别:
Regulation of myeloid cell function by a novel putative lncRNA
一种新型推定lncRNA调节骨髓细胞功能
- 批准号:
10530689 - 财政年份:2021
- 资助金额:
$ 34.13万 - 项目类别:
Regulation of myeloid cell function by a novel putative lncRNA
一种新型推定lncRNA调节骨髓细胞功能
- 批准号:
10372592 - 财政年份:2021
- 资助金额:
$ 34.13万 - 项目类别:
Next generation systems analysis of pathogenetic mechanisms underlying CNS autoimmunity
中枢神经系统自身免疫发病机制的下一代系统分析
- 批准号:
9768066 - 财政年份:2019
- 资助金额:
$ 34.13万 - 项目类别:
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