Serum protein biomarkers for predicting type 1 diabetes
Serum protein biomarkers for predicting type 1 diabetes
批准号:
9180023
负责人:
Wei-Jun Qian
金额:
$179.52万
依托单位国家:
美国
项目类别:
财政年份:
2016
资助国家:
美国
项目状态:
已结题
起止时间:
2016-07-05 至 2020-06-30
关键词:
AgeAutoantibodiesAutoimmune ProcessAutoimmunityBeta CellBiological MarkersBloodBlood CirculationCell DeathCell SurvivalCellsClinicalClinical ResearchCollaborationsComplexDevelopmentDiabetes MellitusDiabetes preventionDiseaseFloridaHumanHuman ResourcesInstitutesInsulin-Dependent Diabetes MellitusInterventionIslet CellIslets of LangerhansKnowledgeLeadMass Spectrum AnalysisMonitorOrgan DonorPancreasPathogenesisPhasePost-Translational Protein ProcessingPrevention trialProcessProtein IsoformsProtein SplicingProteinsProteomeProteomicsRNA SplicingResearchSamplingSerumSerum MarkersSerum ProteinsStagingStreamStressStructure of beta Cell of isletTechnologyTestingTimeTissuesTreatment EfficacyUniversitiesValidationVariantbasecandidate markercandidate validationcohortcomparativeearly onseteffective interventionexosomehuman tissueimmunogenicinsulin dependent diabetes mellitus onsetinterestisletnoveloutcome forecastpredictive markerprogramsprotein biomarkersproteogenomicsproteomic signaturescreeningserological markersexsuccesstranscriptome
中文摘要
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英文摘要
PROJECT SUMMARY/ABSTRACT
Clinical type 1 diabetes (T1D) is preceded by an asymptomatic phase of the disease, which can be readily
identified by serum islet autoantibodies(AAb). However, the T1D field is challenged by the lack of potent
predictive markers, particularly β-cell specific serum markers that can accurately predict and reveal the rate of
T1D progression. The markers of such are critical in the development of novel and effective interventions for
T1D. Therefore, the overall objective of this application is to establish β-cell specific serum proteomic
signatures that can predict the immunogenic progression of T1D. Our specific hypothesis is that the ongoing
autoimmune destruction of β-cells during the pre-T1D phase sheds β-cell-specific protein signatures into the
blood stream, and these circulatory signatures are suitable biomarkers for assessing β-cell mass, predicting
the trajectory of β-cell destruction and thus the developmental stage of T1D. To pursue this objective,
our rationale is to apply a hypothesis-focused integrative discovery approach to comprehensively identify
putative β-cell specific proteins, isoforms, and posttranslational modifications (PTMs) from pancreatic islets and
tissues. Protein candidates are then prioritized and validated in the serum samples collected from large-scale
longitudinal clinical studies such as the Diabetes Prevention Trial (DPT-1) via the implementation of an
ultrasensitive targeted proteomic technology. The availability of a set of islet-specific proteins (already
identified through our preliminary studies) and the unique ultrasensitive technology provides us a first-rate
opportunity to establish novel predictive serum markers for T1D development. In our experimental plan, Aim 1
will focus on the integrative discovery of putative β-cell specific proteins, isoforms, and PTMs by comparing
pre-T1D versus control pancreas and islets. Aim 2 will conduct an initial screening for the top 100-200
candidates based on their detectability in human serum as well as their significant differential serum
concentration in new-onset T1D subjects versus controls. Aim 3 will perform targeted validation of the most
promising 10-30 candidates in the serum samples longitudinally collected in the DPT-1 cohort. The
comparison will include three groups of subjects: 1) T1D relatives who had multiple AAb and progressed to
T1D 2) T1D relatives who had multiple AAb but did not progress to T1D, and 3) AAb negative controls. We
anticipate this application will enable us for the first time to successfully develop a panel of β-cell specific
serum markers, which will have a profound clinical implication for predicting T1D progression, assessing β-cell
mass, and monitoring the treatment efficacy.
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Robust Mass Spectrometric Protein/Peptide Assays for Type 1 Diabetes Clinical Applications
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批准号:10730900
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项目类别:
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资助金额:$98.26万
-
财政年份:2023
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负责人:Wei-Jun Qian
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依托单位:
Coordination Core
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批准号:10259782
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项目类别:
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依托单位:
Coordination Core
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批准号:10685584
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项目类别:
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资助金额:$11.24万
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财政年份:2020
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负责人:Wei-Jun Qian
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依托单位:
Coordination Core
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批准号:10118875
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项目类别:
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资助金额:$10.84万
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Multiplex Mass Spectrometric Protein Assays for Precise Monitoring of the Pathophysiology of Obesity
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批准号:9918021
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Reverse Sensitivity Analysis for Identifying Predictive Proteomics Signatures of Cancer
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依托单位:
Multiplex Mass Spectrometric Protein Assays for Precise Monitoring of the Pathophysiology of Obesity
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批准号:10238054
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项目类别:
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资助金额:$75.28万
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财政年份:2019
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Multiplex Mass Spectrometric Protein Assays for Precise Monitoring of the Pathophysiology of Obesity
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资助金额:$74.39万
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Reverse Sensitivity Analysis for Identifying Predictive Proteomics Signatures of Cancer
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依托单位:
A Universal Multiplex Assay System for High-Throughput Clinical Applications
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批准号:7852428
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项目类别:
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资助金额:$213.87万
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负责人:Wei-Jun Qian
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依托单位:
海外基金