Pretransplant comprehensive scores to predict long term graft outcomes
Pretransplant comprehensive scores to predict long term graft outcomes
批准号:
10679624
负责人:
Kellie J. Archer
金额:
$20.75万
依托单位国家:
美国
项目类别:
财政年份:
2023
资助国家:
美国
项目状态:
未结题
起止时间:
2023-03-16 至 2025-02-28
关键词:
AccountingAcuteAllograftingAtrophicAutomobile DrivingBiological MarkersBiological ProcessBiopsyCD28 geneCXCR4 geneCellsCharacteristicsChronicClinicalComplexDataDevelopmentEarly identificationEventFibrosisFunctional disorderGene ExpressionGene Expression ProfileGenesGoalsGraft SurvivalHistologicImmuneImmunologicsImpairmentInflammatory ResponseInjuryInjury to KidneyInnate Immune ResponseKidneyKidney TransplantationKnowledgeMachine LearningMediatingMetadataModalityModificationMolecularMolecular ProfilingNatureOrganOrgan DonorOutcomePatient MonitoringPatientsPeripheral Blood Mononuclear CellPrognostic MarkerProtocols documentationRANTESReportingResearch DesignRiskSamplingTestingTimeTransplant RecipientsTransplantationTubular formationUntranslated RNAVariantbiomarker identificationcohortdeep neural networkgenetic signaturegraft dysfunctiongraft functionhigh riskimmune activationimprovedinjury burdeninterstitialkidney allograftnovelnovel therapeuticsorgan injuryoutcome predictionperipheral bloodpost-transplantpreimplantationpreventprogression riskprospectiverepairedresponserisk predictionstressortranscriptometranscriptome sequencingtranscriptomicswound
中文摘要
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英文摘要
Despite the improved short-term outcomes in kidney transplantation (KT), comparable progress in long-term
allograft survival has not been achieved. Chronic allograft dysfunction (CAD) characterized by interstitial fibrosis
and tubular atrophy (IFTA), accounts for one quarter of transplant kidneys lost within 5 years. Preventing kidney
graft dysfunction and loss is a critical unmet need in transplantation. From reported evidence, posttransplant
graft survival is determined by the complex interplay of donor factors, acute peri-transplantation injury, and
kidney transplant recipient factors. We recently reported that the transcriptome of deceased donor kidneys
encompasses a gene signature at the time of KT that predicts long-term graft function. These signatures shed
light on the inherent donor mechanisms responsible for triggering and likely sustaining posttransplant injury.
Furthermore, although a recipient peripheral blood transcriptional signature was recently reported as a predictor
of early acute rejection, the effect of pretransplant KT recipient peripheral blood transcriptional profiles on long-
term outcomes has not been previously tested. Moreover, there are no comprehensive biological markers
from donors and recipients that can be used pretransplant to predict graft outcomes. Given the multifactorial
nature of CAD, our preliminary data, and the gaps in our knowledge, we have the unique ability to fill these unmet
needs by studying the early stressors that lead to kidney graft fibrosis deploying an unbiased comprehensive
approach. Towards this goal, we have already established a cohort with prospective sequential sampling of
kidney allografts. In our studies, donor kidneys were evaluated at pre-implantation and recipient pretransplant
peripheral blood mononuclear cells (PBMCs) were collected. The recipient cohort also includes longitudinal
PBMCs, protocol biopsies, and detailed clinical metadata, allowing for the correlation of gene expression profiles
with histological features and clinical parameters. In this exploratory proposal, we hypothesize that early cellular
and molecular events in the donor kidney trigger local inflammatory responses that, when combined with
recipient immune state, propagate and sustain posttransplant kidney injury leading to graft loss. Specific aims
(SA) include: SA1 (1) Identify kidney transplant recipient preimplantation peripheral blood molecular profiles that
associate with immune activation vs quiescence and determine posttransplant graft function. (2) Discern
longitudinal posttransplant molecular variations in patient's PBMCs that associate with long-term graft function.
SA2 Integrate kidney donor and recipient peripheral blood gene expression profiles in association with
donor/recipient clinical characteristics for constructing a composite score to predict long-term outcomes.
IMPACT: Results of these studies will provide a unique understanding of the early molecular triggers that
determine graft outcomes and ultimately lead to CAD. Novel prognostic biomarkers will enable the early
identification of patients at higher risk for progression to CAD, allowing for the development of new therapeutic
modalities that have the potential to avoid irreversible graft injury and improve long-term outcomes.
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资助金额:$25.97万
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依托单位:
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批准号:10203464
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资助金额:$53.62万
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Assessment of Donor Quality for Improving Kidney Transplant Outcomes
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资助金额:$49.28万
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依托单位:
Informatic tools for predicting an ordinal response for high-dimensional data
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资助金额:$22.7万
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财政年份:2012
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依托单位:
Informatic tools for predicting an ordinal response for high-dimensional data
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批准号:8216289
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资助金额:$25.57万
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财政年份:2012
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依托单位:
Recursive partitioning and ensemble methods for classifying an ordinal response
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批准号:7805045
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资助金额:$7.5万
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财政年份:2009
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负责人:Kellie J. Archer
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依托单位:
Recursive partitioning and ensemble methods for classifying an ordinal response
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批准号:7670456
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项目类别:
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资助金额:$7.48万
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财政年份:2008
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负责人:Kellie J. Archer
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依托单位:
Recursive partitioning and ensemble methods for classifying an ordinal response
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批准号:8049892
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项目类别:
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资助金额:$0.57万
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财政年份:2008
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负责人:Kellie J. Archer
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依托单位:
Integration of Mixtures Toxicology, Toxicogenomics and Statistics.
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批准号:8882422
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项目类别:
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资助金额:$16.16万
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财政年份:2002
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负责人:Kellie J. Archer
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依托单位:
Integration of Mixtures Toxicology, Toxicogenomics and Statistics.
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批准号:8692779
-
项目类别:
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资助金额:$16.08万
-
财政年份:2002
-
负责人:Kellie J. Archer
-
依托单位:
Biostatistics Shared Resource
-
批准号:9277721
-
项目类别:
-
资助金额:$15.4万
-
财政年份:--
-
负责人:Kellie J. Archer
-
依托单位:
海外基金