Determining the molecular basis for different rates of T1D progression
Determining the molecular basis for different rates of T1D progression
批准号:
8837241
负责人:
Peter S Linsley
金额:
$109.6万
依托单位国家:
美国
项目类别:
财政年份:
2014
资助国家:
美国
项目状态:
已结题
起止时间:
2014-09-25 至 2018-08-31
关键词:
AddressAdverse effectsAutoimmune DiseasesBeta CellBiological MarkersBiological PreservationBlood specimenC-PeptideCD3 AntigensCD8-Positive T-LymphocytesCD8B1 geneCell physiologyCellsClinicalCombined Modality TherapyControl GroupsDataDiagnosisDiseaseDisease remissionEffectivenessFlow CytometryFundingGene Expression ProfileGoalsHealthHeterogeneityImmuneImmune ToleranceImmunologicsIndividualInsulinInsulin-Dependent Diabetes MellitusLaboratoriesLeadMS4A1 geneMeasuresMolecularMolecular ProfilingMonitorMuromonab-CD3Natural HistoryNatural Killer CellsNewly DiagnosedPatient SelectionPatientsPersonal SatisfactionPhenotypePlacebosRNA Sequence AnalysisRandomizedRequest for ProposalsSamplingSystems BiologyT-LymphocyteTechnologyTherapeuticTimeWhole Bloodalefaceptbasecell typeclinical Diagnosisclinical effectcostcost effectivenessdisease natural historyfallsimprovedinsightmolecular markerphase 2 studyresponserituximabsuccesstranscription factor
中文摘要
描述(由申请人提供):具有不同作用机制的疾病修改疗法现在可用于治疗自身免疫性疾病。几种药物已经显示出能够延缓I型糖尿病(T1D)的发病,但仅在一小部分患者中和有限的一段时间内有效。为什么这些不同的药物表现出如此相似的临床效果尚不清楚,但它们有限的有效性、高昂的成本和潜在的不良副作用限制了它们在T1D中的用途。通过更好地选择患者进行治疗,治疗成功的可能性、患者的福祉和成本效益可能会提高。我们正在使用先进的系统生物学方法来识别细胞和分子标记,这些标记表征了新诊断的T1D(非进展性)受试者的β细胞功能的保存。在初步研究中,我们使用RNA测序分析(RNAseq)来鉴定替普利单抗治疗后非进展者全血样本中Eome阳性细胞的基因表达特征。在目前的提案中,我们要求提供资金,通过三种与分子图谱相关的方法来扩大我们的初步研究:识别独特的和共享的分子/细胞特征,以区分治疗后T1D非进展者和进展者。我们将使用RNAseq分析来识别接受了几种保护β细胞功能的药物治疗的受试者的全血分子特征,这些药物包括abatacept、rituximab和alefacept。在诊断后的T1D自然病程中,识别区分T1D非进展者和进展者的分子/细胞特征。我们将使用RNAseq分析来识别T1D受试者全血中的信号,这些信号自然显示出保留的β细胞功能,即使没有治疗。前两种方法的签名将与我们的teplizumab签名进行比较,以确定每个签名是独一无二的还是治疗特定的。从SABATE研究中确定在非进展性替普利单抗治疗的患者中积累的细胞类型,并产生关于它们功能的假设。我们将进行流式细胞术和单细胞转录组图谱研究,以确定在我们的初步研究中发现的Eome阳性细胞的特征。总而言之,我们希望这些研究能够更好地理解T1D中β细胞保存的免疫方面。我们还期待发现新的生物标记物,更好的患者选择策略,以及更合理的T1D联合疗法。
英文摘要
DESCRIPTION (provided by applicant): Disease-modifying therapies with distinct mechanisms of action are now available to treat autoimmune diseases. Several agents have shown the ability to delay onset of Type I Diabetes (T1D), but only in a fraction of patients and for a limited period of time. Why these disparate agents show such similar clinical effects remains unknown, but their limited effectiveness, high cost and potential for undesirable side effects have limited their usefulness in T1D. By better selecting patients for treatment, the likelihood of treatment success, patient well-being, and cost-effectiveness may improve. We are using cutting edge systems biology approaches to identify cellular and molecular markers characterizing the preservation of beta cell function in newly diagnosed subjects with T1D (non-progressors). In preliminary studies, we used RNA sequencing analysis (RNAseq) to identify a gene expression signature of EOMES-positive cells in whole blood samples from non-progressors after teplizumab treatment. With the current proposal, we request funding to expand our initial studies by pursuing three molecular profiling-related approaches: Identify unique and shared molecular/cellular signatures distinguishing T1D non-progressors from progressors following treatment. We will use RNAseq analysis to identify whole blood molecular signatures in subjects treated with several agents that protect beta cell function, including abatacept, rituximab, and alefacept. Identify molecular/cellular signatures distinguishing T1D non-progressors from progressors during the natural history of T1D after diagnosis. We will use RNAseq analysis to identify signatures in whole blood of T1D subjects that naturally show preserved beta cell function, even without treatment. Signatures from the first two approaches will be compared with our teplizumab signature to determine whether each is unique or treatment-specific. Identify cell types accumulating in non-progressor teplizumab-treated patients from the AbATE study and generate hypotheses as to their function. We will perform flow cytometry and single cell transcriptome profiling studies to characterize the EOMES-positive cells identified in our preliminary studies. Together, we expect these studies to yield improved understanding of immune aspects of beta cell preservation in T1D. We also anticipate identifying new biomarkers, better strategies for patient selection and more rational combination therapies for T1D.
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