MRI-Based Renal Oximetry in Early Diabetic Kidney Disease
基于 MRI 的肾血氧饱和度在早期糖尿病肾病中的应用
基本信息
- 批准号:10593684
- 负责人:
- 金额:$ 24.38万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2023
- 资助国家:美国
- 起止时间:2023-05-01 至 2025-04-30
- 项目状态:未结题
- 来源:
- 关键词:AbdomenAddressAdultAffectAlbuminsAlbuminuriaAnimal ModelAttenuatedBenchmarkingBiological MarkersBloodBlood Flow VelocityBlood flowBrainCalibrationCardiovascular DiseasesCerebrovascular CirculationCerebrumChronic Kidney FailureClinicalClinical MarkersCreatinineDataDevelopmentDiabetes MellitusDiabetic NephropathyDialysis procedureDiseaseDisease ProgressionEarly DiagnosisEarly InterventionEvaluationFick methodFiltrationFunctional disorderFutureGlomerular Filtration RateHealthHistologyHourHumanHypoxiaIonizing radiationKidneyKidney DiseasesMagnetic Resonance ImagingMeasurementMeasuresMetabolismMethodsMicroalbuminuriaMonitorMotionNon-Insulin-Dependent Diabetes MellitusOrganOutcomeOxygenOxygen saturation measurementPathologicPathway interactionsPatient MonitoringPatientsPerformancePhasePhysiologic pulsePhysiologicalPilot ProjectsPlayPositron-Emission TomographyPrediabetes syndromePrevalencePublic HealthPulse OximetryRelaxationRenal TissueRenal functionReportingReproducibilityResearchRisk FactorsRoleSamplingScanningSerumSignal TransductionSiteSubtraction TechniqueSuperior sagittal sinusTechniquesTechnologyTestingTimeTissuesTransplantation SurgeryType 2 diabeticUrineVeinsVenousWaterWorkblood flow measurementcardiovascular risk factordemographicsdeoxyhemoglobindesigndiabeticdiabetic patienthuman subjectimaging modalityinsightkidney dysfunctionkidney imagingmetabolic ratenovelradiotracerrenal damagerenal hypoxiatissue oxygenation
项目摘要
PROJECT SUMMARY
Chronic kidney disease (CKD), affecting 15% of US adults, is characterized by a progressive loss of kidney
function. The leading cause of CKD is type-2 diabetes mellitus, and up to 40% of type-2 diabetic patients go on
to develop CKD. Current measures of kidney function are limited in that they estimate glomerular filtration rate
(eGFR), require multiple blood and urine samples over several hours, or detect disease after irreversible damage
has already occurred. Thus, there is a need for a better biomarker that can detect kidney dysfunction earlier.
Renal metabolic rate of oxygen (MRO2) is a suitable metric that directly represents kidney function. In animal
models MRO2 has been found to increase during the early stages of diabetic kidney disease. Magnetic resonance
imaging (MRI) oximetric techniques can noninvasively quantify MRO2. A widely used method for quantifying
MRO2 of the brain measures blood water transverse relaxation time T2 in a draining vein and converting the
result via a calibration curve to venous oxygen saturation (SvO2), in addition to a separate scan to acquire blood
flow velocity, which are the key physiological parameters needed to quantify MRO2 via Fick’s principle. The
proposed research introduces a new T2-based oximetry method that overcomes the limitations of prior T2-based
methods by simultaneously measuring SvO2 and blood flow velocity in a single 18-second breath-hold period.
The novel interleaving strategy underlying the proposed technique enables quantification of MRO2 in a single
pass. The hypothesis of the proposed research is that renal MRO2 will serve as a direct, quantitative marker of
early kidney disease before progression to irreversible organ dysfunction. To test this hypothesis, the following
specific aims will be pursued: (1) Optimize the T2-based oximetry pulse sequence and quantify cerebral MRO2
to test its performance against well-established MRI oximetry methods. Initial studies will be performed in the
brain because of minimal physiologic motion and availability of data for comparison. (2): Transfer the method to
the abdomen and quantify renal MRO2 in healthy human subjects and evaluate the method’s precision. (3):
Perform a pilot study to assess renal MRO2 as a marker of early-stage diabetic kidney disease through
quantification of renal MRO2, eGFR, and microalbuminuria in prediabetic and type-2 diabetic patients in
comparison to healthy reference subjects. The method is projected to yield insights into renal metabolism during
the early stages of kidney disease and may eventually provide a means for monitoring patients with diabetic
kidney disease during treatment.
项目概要
慢性肾脏病 (CKD) 影响着 15% 的美国成年人,其特点是肾脏逐渐丧失
CKD 的主要原因是 2 型糖尿病,高达 40% 的 2 型糖尿病患者患有该病。
目前的肾功能测量方法仅限于评估肾小球滤过率。
(eGFR),需要几个小时内的多个血液和尿液样本,或在不可逆转的损伤后检测疾病
因此,需要一种更好的生物标志物来更早地检测肾功能障碍。
肾氧代谢率 (MRO2) 是直接代表动物肾功能的合适指标。
模型 磁共振发现 MRO2 在糖尿病肾病的早期阶段会增加。
成像 (MRI) 血氧测定技术可以无创地量化 MRO2 一种广泛使用的量化方法。
大脑的 MRO2 测量引流静脉中的血水横向弛豫时间 T2,并将
除了单独扫描采集血液外,还可通过静脉血氧饱和度 (SvO2) 校准曲线得出结果
流速,这是通过菲克原理量化 MRO2 所需的关键生理参数。
拟议的研究引入了一种新的基于 T2 的血氧测定方法,该方法克服了先前基于 T2 的局限性
通过在 18 秒屏气时间内同时测量 SvO2 和血流速度的方法。
该技术所采用的新型交错策略能够在一次中对 MRO2 进行量化
该研究的假设是肾脏 MRO2 将作为直接的定量标记。
发展为不可逆器官功能障碍之前的早期肾脏疾病 为了检验这一假设,我们进行了以下分析。
将追求的具体目标: (1) 优化基于 T2 的血氧饱和度脉冲序列并量化脑部 MRO2
初步研究将根据成熟的 MRI 血氧测定方法来测试其性能。
大脑由于最小的生理运动和数据的可用性进行比较(2):将方法转移到。
腹部并量化健康人肾脏受试者的 MRO2 并评估该方法的精度 (3):
进行一项试点研究,通过以下方式评估肾脏 MRO2 作为早期糖尿病肾病的标志物:
糖尿病前期和 2 型糖尿病患者肾 MRO2、eGFR 和微量白蛋白尿的定量
与健康参考受试者进行比较,预计该方法可以深入了解肾代谢。
肾脏疾病的早期阶段,最终可能提供一种监测糖尿病患者的方法
治疗期间出现肾脏疾病。
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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Felix W Wehrli其他文献
Acute exposure to e-cigarettes causes inflammation and endothelial oxidative stress in non-smoking healthy young subjects.
急性接触电子烟会导致不吸烟的健康年轻受试者出现炎症和内皮氧化应激。
- DOI:
- 发表时间:
2019 - 期刊:
- 影响因子:0
- 作者:
S. Chatterjee;Jian;Alyssa J Johncola;Wensheng Guo;A. Caporale;M. Langham;Felix W Wehrli - 通讯作者:
Felix W Wehrli
Felix W Wehrli的其他文献
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{{ truncateString('Felix W Wehrli', 18)}}的其他基金
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通过 3D 定量 BOLD 进行基于 MRI 的脑代谢区域评估
- 批准号:
10373235 - 财政年份:2022
- 资助金额:
$ 24.38万 - 项目类别:
MRI-Based Regional Assessment of Cerebral Metabolism Via 3D Quantitative BOLD
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- 批准号:
10688286 - 财政年份:2021
- 资助金额:
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MRI and Biological Markers of Acute E-Cigarette Exposure in Smokers and Vapers
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10353104 - 财政年份:2021
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MRI and Biological Markers of Acute E-Cigarette Exposure in Smokers and Vapers
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10490338 - 财政年份:2021
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人类耗氧量的高时空分辨率 MRI 绘图
- 批准号:
10172052 - 财政年份:2021
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10490825 - 财政年份:2021
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10669230 - 财政年份:2021
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- 批准号:
10054870 - 财政年份:2020
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使用脑电图相关 MRI 对睡眠依赖性 CMRO2 衰减中与年龄相关的变化进行无创量化
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