Defining the molecular landscape of hyperfiltration-mediated glomerular injury using kidney allografts as a model system
Defining the molecular landscape of hyperfiltration-mediated glomerular injury using kidney allografts as a model system
批准号:
10211654
负责人:
Abhijit S Naik
金额:
$19.34万
依托单位国家:
美国
项目类别:
财政年份:
2021
资助国家:
美国
项目状态:
未结题
起止时间:
2021-04-01 至 2025-12-31
关键词:
AllograftingAnimal ModelAreaAutomobile DrivingBioinformaticsBiological AssayBiological ModelsBiopsyCellsCharacteristicsChronic Kidney FailureCore BiopsyDataDevelopmentDiabetes MellitusDiseaseDisease PathwayDisease ProgressionEDN1 geneEnrollmentEpidemicEtiologyExposure toFailureFiltrationGene ExpressionGene Expression ProfileGenesGenetic TranscriptionGoalsHistologyHumanHydrostatic PressureIGF1 geneImmunohistochemistryIn Situ HybridizationInfectionInjuryInsulin-Like Growth-Factor-Binding ProteinsIntegrin alpha3beta1KDR geneKidneyKidney DiseasesKidney TransplantationKnowledgeLeadLigandsLinkLongevityMeasurementMeasuresMediatingModelingMolecularMonitorMorbidity - disease rateNephronsObesityOutcomeOverlapping GenesPartner in relationshipPathogenesisPima IndianProcessPublic HealthRecurrenceRenal glomerular diseaseResearchResearch PersonnelRoleSideSpecificityStressSystems BiologyTechnologyTestingTimeTrainingTranscriptTransplantationUrineVascular Endothelial Growth Factorscohortdiabeticdiabetic patientdifferential expressiongenetic signatureglomerular basement membranegraft functionhuman modelimprovedinnovationinsightkidney allograftliving kidney donormortalitynew therapeutic targetnon-invasive monitorpodocytepost-transplantreceptorrenal damageresponsesingle-cell RNA sequencingtargeted treatmenttranscriptometranscriptome sequencingtranscriptomicsvalidation studies
中文摘要
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英文摘要
ABSTRACT:
Long-term kidney allograft survival has not improved significantly over the last two decades. Accumulating
data supports the hypothesis that progressive glomerular disease drives late kidney allograft failure, with hyper-
filtration mediated glomerular injury being a putative driver. In addition, hyperfiltration is implicated in the progres-
sion of kidney diseases such as in diabetes and obesity, both of which have reached epidemic proportions. How-
ever, the molecular underpinnings of this shared mechanism of kidney disease progression remain unclear and
forms the scientific basis of this proposal.
My long-term goal is to understand disease mechanisms driving late allograft loss, with a focus on prolonging
allograft lifespan. The overall objective of this application is to elucidate the molecular mechanisms by which
hyperfiltration initiates and drives the podocyte detachment process in kidney allografts. We will also test whether
parallel mechanisms are operating in an independent cohort of hyperfiltering diabetic patients.
Towards achieving this objective my central hypothesis is that hyperfiltration leads to a characteristic molec-
ular footprint in the glomerulus that drives podocyte stress and accelerated detachment. To identify the underlying
molecular mechanism of hyperfiltration, a combination of bulk- and single cell RNA-sequencing technology will
be used to identify glomerular cell-specific gene signatures as well as interactions between cells associated with
the glomerular basement membrane that are known to drive podocyte detachment. To enable non-invasive mon-
itoring of podocyte loss, we will use urine pellet podocyte detachment assays and measure hyperfiltration using
filtration fraction studies. We will test the central hypothesis using three specific aims:
Aim 1. Define the glomerular transcriptional response to hyperfiltration.
Aim 2. Define the glomerular transcriptional profile that drives accelerated podocyte detachment and identify
the effect of hyperfiltration on this relationship.
Aim 3: Define the relationship of allograft hyperfiltration with podocyte stress and detachment.
The research is innovative as it uses human kidney allografts as a model system to focus on hyperfiltration
as a common mechanism of kidney disease progression analyzed by state-of-the-art technologies. The proposed
research is significant as the identification of shared pathways of disease progression between kidney diseases
could lead to the development of novel targeted therapeutic agents and non-invasive monitoring strategies. Ulti-
mately, such knowledge will be crucial to slow down kidney disease progression regardless of its etiology.
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Defining the molecular landscape of hyperfiltration-mediated glomerular injury using kidney allografts as a model system
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批准号:10543150
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项目类别:
-
资助金额:$19.22万
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财政年份:2021
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负责人:Abhijit S Naik
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依托单位:
海外基金