Immune Airway-Epithelial Interactions in Steroid-Refractory Severe Asthma
类固醇难治性严重哮喘中的免疫气道-上皮相互作用
基本信息
- 批准号:10625494
- 负责人:
- 金额:$ 186.86万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2015
- 资助国家:美国
- 起止时间:2015-06-01 至 2027-04-30
- 项目状态:未结题
- 来源:
- 关键词:AddressAdrenal Cortex HormonesAirAnimal ModelAnti-Inflammatory AgentsApoptosisAsthmaBioinformaticsBiologicalBiological MarkersBiological ProductsBronchoalveolar LavageCD8-Positive T-LymphocytesCXCL10 geneCell Culture SystemCell DeathCell SeparationCellsCellular Indexing of Transcriptomes and Epitopes by SequencingCessation of lifeCharacteristicsChemotactic FactorsCollecting CellCommunicationComplexComputer AnalysisCytometryDataDevelopmentDiseaseDisease modelEpigenetic ProcessEpithelial CellsEpitheliumFailureFunctional disorderGene Expression ProfilingGeneticGlucocorticoid ReceptorGuidelinesHeterogeneityHumanIL18 geneImmuneImmune System DiseasesImmune responseImmunologicsImmunosuppressionIn VitroInflammationInflammatoryInhalationInnate Immune ResponseInterferon Type IIInterferonsInterleukin-4KnowledgeLaboratoriesLiquid substanceLymphocyteMemoryMolecularMolecular TargetMorbidity - disease rateMucinsNatural ImmunityPathogenesisPathway interactionsPatientsPeptide HydrolasesPhenotypeProcessProductionPublishingQuality of lifeRefractoryRegulationResearchRiskRoleSTAT1 geneSamplingSignal TransductionStatistical Data InterpretationSteroid ResistanceSteroidsStimulusSubgroupSymptomsT cell receptor repertoire sequencingT-LymphocyteTechniquesTimeTissuesadaptive immune responseadaptive immunityairway epitheliumasthmaticasthmatic patientbronchial epitheliumclinical diagnosiscostdisorder controlexperienceinterestmolecular phenotypemouse modelmultiple omicsnew therapeutic targetnovelnovel therapeuticsprogramspulmonary functionrepairedresponseside effecttargeted treatmenttraittranscriptome sequencingtreatment response
项目摘要
Severe asthma (SA) is complex, multifactorial and refractory to treatment by corticosteroids (CS). In recent
years, some progress has been made in its treatment with the advent of biologics. However, despite these
advancements, there still remain challenges in the treatment of these patients because of an incomplete
understanding of the dysfunction of immune and epithelial cells, which underlies this disease. This is further
complicated by the poor biomarkers available to differentiate disease for targeted therapy, and amplified by
their enormous costs, particularly when prescribed imprecisely. Progress made in Project 1 in the current
cycle using mass cytometry/CyTOF, show clustering of SA patients into 2 groups displaying distinct immune
profiles divided along the lines of innate and adaptive immunity. Progress made in Project 2 in studies of
bronchial epithelial cells (BECs) in SA suggest the presence of two fundamentally different molecular
phenotypes. The BECs in one group primarily respond to inhaled environmental stimuli to drive an innate
intrinsic phenotype. In the second group, BEC cell death pathways intersect with CD8 T-cell immune
processes to drive an immune interactive phenotype. Taken together, these findings prompted us to
hypothesize that two distinct immune mechanisms, one regulated by innate immune cells, and the second by T
cells, are critical determinants of SA. Interactions between airway epithelial cells in the context of
genetic/epigenetic risks and immune cells together with induction of cellular death contribute to two SA
phenotypes. This hypothesis will be addressed in the following two highly interactive projects: Project 1 will
use human samples and mouse models of disease to: a) characterize the CITE-seq and TCR-seq airway
immune cells collected by BAL and investigate the impact of dupilumab on immune phenotype, b) study the
importance of FceRI-expressing innate immune cells and IL-7Ra signaling in FceRI+ cells in promoting a SA
phenotype using a novel protease-based mouse model, and c) study mechanisms underlying regulation of
TRM cell phenotype and impact on disease using a T cell-driven mouse model of SA. Project 2 will use fresh
and cultured healthy and asthmatic BECs to: a) determine the mechanisms for and functional implications of
an innate intrinsic epithelial phenotype, b) evaluate the role of GSDMB in the development of a CD8 T-cell
immune interactive phenotype and its functional implications, and c) Integrate immune-inflammatory
phenotypes with epithelial molecular phenotypes ex vivo and in vitro. Synergistic interactions among projects
will be afforded by support from: Core A, the Administrative Core, to coordinate the activities of the Program
Project at all levels, Core B, the Human Biological Sampling and Immunocytometry Core and Core C, the
RNA-Seq and Bioinformatics Core. Taken together, these projects will establish new concepts in immune-
epithelial interactions underlying asthma pathogenesis and identify novel targets for therapy.
严重哮喘(SA)是复杂的,多因素的,难以用皮质类固醇(CS)治疗。在最近
项目成果
期刊论文数量(9)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Integrative analysis of spatial transcriptome with single-cell transcriptome and single-cell epigenome in mouse lungs after immunization.
- DOI:10.1016/j.isci.2022.104900
- 发表时间:2022-09-16
- 期刊:
- 影响因子:5.8
- 作者:Xu, Zhongli;Wang, Xinjun;Fan, Li;Wang, Fujing;Lin, Becky;Wang, Jiebiao;Trevejo-Nunez, Giraldina;Chen, Wei;Chen, Kong
- 通讯作者:Chen, Kong
Digital Imaging Analysis Reveals Reduced Alveolar α-Smooth Muscle Actin Expression in Severe Asthma.
- DOI:10.1097/pai.0000000000000926
- 发表时间:2021-08-01
- 期刊:
- 影响因子:0
- 作者:Jerome JA;Wenzel SE;Trejo Bittar HE
- 通讯作者:Trejo Bittar HE
15LO1 dictates glutathione redox changes in asthmatic airway epithelium to worsen type 2 inflammation.
- DOI:10.1172/jci151685
- 发表时间:2022-01-04
- 期刊:
- 影响因子:0
- 作者:Nagasaki T;Schuyler AJ;Zhao J;Samovich SN;Yamada K;Deng Y;Ginebaugh SP;Christenson SA;Woodruff PG;Fahy JV;Trudeau JB;Stoyanovsky D;Ray A;Tyurina YY;Kagan VE;Wenzel SE
- 通讯作者:Wenzel SE
An airway epithelial iNOS-DUOX2-thyroid peroxidase metabolome drives Th1/Th2 nitrative stress in human severe asthma.
- DOI:10.1038/mi.2014.6
- 发表时间:2014-09
- 期刊:
- 影响因子:8
- 作者:
- 通讯作者:
Predicting atopic asthma by using eNose breath profiles with machine learning.
通过使用电子鼻呼吸曲线和机器学习来预测特应性哮喘。
- DOI:10.1016/j.jaci.2020.08.009
- 发表时间:2020
- 期刊:
- 影响因子:0
- 作者:Wu,Wei
- 通讯作者:Wu,Wei
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Anuradha Ray其他文献
Anuradha Ray的其他文献
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{{ truncateString('Anuradha Ray', 18)}}的其他基金
Dysregulated Immunometabolism and Premature Senescence in Corticosteroid-Refractory Severe Asthma
皮质类固醇难治性严重哮喘的免疫代谢失调和过早衰老
- 批准号:
10567868 - 财政年份:2023
- 资助金额:
$ 186.86万 - 项目类别:
Macrophage Immunometabolism alteration by intense beta agonist therapy.
强β激动剂治疗改变巨噬细胞免疫代谢。
- 批准号:
10472466 - 财政年份:2020
- 资助金额:
$ 186.86万 - 项目类别:
Macrophage Immunometabolism alteration by intense beta agonist therapy.
强β激动剂治疗改变巨噬细胞免疫代谢。
- 批准号:
10160953 - 财政年份:2020
- 资助金额:
$ 186.86万 - 项目类别:
Macrophage Immunometabolism alteration by intense beta agonist therapy.
强β激动剂治疗改变巨噬细胞免疫代谢。
- 批准号:
9973300 - 财政年份:2020
- 资助金额:
$ 186.86万 - 项目类别:
Project 1 Immune Pathway Interactions in Steroid Refractory Severe Asthma
项目 1 类固醇难治性严重哮喘中的免疫途径相互作用
- 批准号:
8853016 - 财政年份:2015
- 资助金额:
$ 186.86万 - 项目类别:














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