Metabolomics of CKD and CKD Progression
CKD 和 CKD 进展的代谢组学
基本信息
- 批准号:8976919
- 负责人:
- 金额:$ 44.71万
- 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:2015-09-14 至 2020-07-31
- 项目状态:已结题
- 来源:
- 关键词:Advanced Glycosylation End ProductsAffectAlbuminsArginineBiologicalBiological MarkersBiologyBloodCardiovascular systemCessation of lifeChronic Kidney FailureChronic Kidney InsufficiencyClinicalClinical DataCohort StudiesCommunitiesCyclic AMPDataDiabetes MellitusDialysis patientsDiseaseDisease ProgressionEnd stage renal failureEpidemiologyEventFibroblast Growth FactorGenesGeneticGenetic DeterminismGenotypeGlomerular Filtration RateGoalsHeterogeneityHuman GeneticsIndividualInsulinInterleukin-6InvestigationKidneyKidney DiseasesKidney FailureLinkLipidsMeasuresMetabolicMetabolic DiseasesMethodsObesityOutcomePathogenesisPathway interactionsPhenotypePilot ProjectsPlasmaPopulation HeterogeneityPopulation StudyPositioning AttributeProteinuriaRenal functionResearchResolutionResource AllocationResourcesRiskSamplingSeverity of illnessSurveysTestingTimeTryptophanUrineValidationbaseclinical carecohortdisease diagnosisdisease phenotypedrug developmentgenome wide association studyimprovedinorganic phosphateinsightinterestliquid chromatography mass spectrometrymetabolomicsnovelnovel markeroutcome forecastpublic health relevancesmall molecule
项目摘要
DESCRIPTION (provided by applicant): A systematic survey of the plasma metabolome is a promising approach for CKD biomarker research because CKD lies at the intersection of various metabolic disorders, because of the broad impact renal function has on circulating metabolites, and because circulating metabolites may themselves participate in disease pathogenesis. We propose to perform liquid chromatography, mass spectrometry based metabolite profiling on plasma obtained at study entry from 1800 individuals in the Chronic Renal Insufficiency Cohort (CRIC) Study with the goal to discover novel blood-based biomarkers of CKD progression; to understand the cross- sectional association of these metabolites with estimated glomerular filtration rate (eGFR), level of proteinuria, and other CKD phenotypes; and to integrate the metabolite data with genotyping that has already been performed. Aim 1 will use multivariable Cox regression to examine the relation between baseline metabolite levels and a composite time-to-event outcome of end-stage renal disease or halving of eGFR. We will test the hypothesis that decreased tryptophan and arginine levels and increased cAMP levels are markers of CKD progression, as well as conduct an agnostic examination of all measured metabolite levels. Aim 2 will assess how plasma metabolites vary across levels of CKD severity (eGFR and level of proteinuria) and in relation to existing markers of disordered metabolism in CKD (albumin, clinical lipids, insulin, advanced glycation end- products, PTH, FGF-23, phosphate, hsCRP, and IL-6). Aim 3 will perform a genome wide association study (GWAS) to identify causal determinants of metabolite biomarkers of CKD and CKD progression highlighted in Aims 1 and 2, and to assess whether these markers are modulated by genetic loci that have previously been associated with CKD. These studies will permit assessment of whether novel markers belong to causal pathways, and unlike prior metabolomics GWAS would examine a racially diverse population enriched for CKD and its metabolic antecedents. In addition to these scientific objectives, in Aim 4 we seek to establish CRIC as a platform for the validation of novel
biomarkers discovered as part of the wider CKD Biomarker Consortium efforts. With extensive study data and an explicit focus on CKD and its complications, the CRIC Study is uniquely positioned to catalyze each component of the proposal, and the CRIC Steering Committee is strongly committed to enriching the broader consortium activities. Importantly, preliminary studies across a spectrum of renal disease demonstrate feasibility for all of the stated Aims. Further, the proposal incorporates technological improvements that have dramatically increased the breadth of our metabolomics platform to now include ~350 known metabolites and >5000 unknown metabolite peaks, thus expanding the scope of metabolites surveyed beyond our prior studies. Finally, all data will be made public via dbGAP as with prior metabolomics and GWAS data generated by our group, providing a powerful resource for the research community.
描述(由适用提供):血浆代谢组的系统调查是CKD生物标志物研究的一种有前途的方法,因为CKD在于各种代谢性疾病的交汇处,因为肾功能对循环代谢产物具有广泛的影响,并且由于循环代谢物可能自己参与疾病的病原体病原体。我们建议对从慢性肾功能不全队列(CRIC)研究中的研究进入时进行液态色谱,基于质谱的代谢产物分析,目的是发现新型CKD进展的基于血液的生物标志物;了解这些代谢物与估计的肾小球滤过率(EGFR),蛋白尿水平和其他CKD表型的横截面关联;并将代谢物数据与已经执行的基因分型整合在一起。 AIM 1将使用多变量COX回归来检查基线代谢物水平与终末期肾脏疾病的复合时间结果或EGFR减半的关系。我们将检验以下假设:降低色氨酸和精氨酸水平以及cAMP升高是CKD进展的标志,并且对所有测得的代谢物水平进行不可知论检查。 AIM 2将评估血浆代谢物在CKD严重程度(EGFR和蛋白尿水平)的水平以及CKD中现有代谢无序代谢标记的关系方面如何变化。 AIM 3将进行一项基因组广泛的关联研究(GWAS),以鉴定AIM 1和2中突出显示的CKD和CKD进展的代谢物生物标志物的因果决定剂,并评估这些标记是否受到以前与CKD相关的基因基因座调节。这些研究将允许评估新颖的标志物是否属于催化途径,并且与先前的代谢组学不同,GWAS将检查富含CKD及其代谢前因的大致多样化的种群。除了这些科学目标外,在AIM 4中,我们试图建立CRIC作为验证新颖的平台
生物标志物被发现是更广泛的CKD生物标志物联盟工作的一部分。通过广泛的研究数据和对CKD及其并发症的明确关注,CRIC研究的独特位置可以催化提案的每个组成部分,CRIC指导委员会强烈致力于丰富更广泛的财团活动。重要的是,跨肾脏疾病的初步研究表明所有既定目标的可行性。此外,该提案结合了技术的改进,这些改进已大大提高了我们的代谢组学平台的广度,包括〜350个已知代谢产物和> 5000个未知代谢物峰,从而扩大了我们先前研究以外调查的代谢物的范围。最后,所有数据都将通过DBGAP公开,就像我们小组生成的先前代谢组学和GWAS数据一样,为研究社区提供了强大的资源。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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EUGENE P. RHEE其他文献
EUGENE P. RHEE的其他文献
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{{ truncateString('EUGENE P. RHEE', 18)}}的其他基金
Kidney Glycolysis as the Mammalian Phosphate Sensor
肾糖酵解作为哺乳动物磷酸盐传感器
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Kidney Glycolysis as the Mammalian Phosphate Sensor
肾糖酵解作为哺乳动物磷酸盐传感器
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10533460 - 财政年份:2022
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Metabolomics of Uremic Symptoms in Dialysis Patients
透析患者尿毒症症状的代谢组学
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9768580 - 财政年份:2018
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透析患者尿毒症症状的代谢组学
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10604245 - 财政年份:2018
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$ 44.71万 - 项目类别:
Metabolite Profiling and Cardiovascular Mortality in End-stage Renal Disease
终末期肾病的代谢分析和心血管死亡率
- 批准号:
8190095 - 财政年份:2011
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$ 44.71万 - 项目类别:
Metabolite Profiling and Cardiovascular Mortality in End-stage Renal Disease
终末期肾病的代谢分析和心血管死亡率
- 批准号:
8303306 - 财政年份:2011
- 资助金额:
$ 44.71万 - 项目类别:
Metabolite Profiling and Cardiovascular Mortality in End-stage Renal Disease
终末期肾病的代谢分析和心血管死亡率
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8662250 - 财政年份:2011
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$ 44.71万 - 项目类别:
Metabolite Profiling and Cardiovascular Mortality in End-stage Renal Disease
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8468172 - 财政年份:2011
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