Non-Invasive Imaging Biomarkers to Identify a High-Risk Chronic Kidney Disease Phenotype
用于识别高风险慢性肾脏病表型的非侵入性成像生物标志物
基本信息
- 批准号:10766445
- 负责人:
- 金额:$ 19.09万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2020
- 资助国家:美国
- 起止时间:2020-04-01 至 2025-01-31
- 项目状态:未结题
- 来源:
- 关键词:AffectAgeAnimalsAtrophicBiological MarkersBlood VesselsBlood flowCardiovascular DiseasesChronicChronic Kidney FailureClinicalClinical TrialsCollaborationsContrast MediaDataData AnalysesDevelopmentDevelopment PlansDiseaseDisease ProgressionEnd stage renal failureEnrollmentEnvironmentErythrocytesEvaluationFibrosisFunctional ImagingFutureGasesGlomerular Filtration RateGoalsGrantHealthHistopathologyHypoxiaImageImage AnalysisIndividualInjuryInvestigationIohexolJapaneseKidneyKidney DiseasesLeadLesionLinkLongevityMeasuresMentorsMentorshipMicrobubblesMicrocirculationMicrovascular DysfunctionMotionMulticenter StudiesOutcomePathogenesisPatientsPerformancePerfusionPopulationPositioning AttributePropertyProteinuriaProtocols documentationRenal Blood FlowRenal functionReportingResearchResearch PersonnelRiskTestingTimeTrainingTranslationsTubular formationUltrasonographyUniversitiesbiomarker developmentbiomarker evaluationbiomarker selectionbiomarker validationcardiovascular disorder riskcareer developmentclinically relevantcontrast enhanceddisease phenotypeexperienceglomerulosclerosishealthy volunteerhigh riskhigh risk populationhuman dataimaging biomarkerimaging modalityimprovedinterstitialkidney biopsykidney fibrosislearning strategymortalitymultidisciplinarynon-invasive imagingnovelnovel therapeuticspatient oriented researchprematureprognostic valueprospectiverecruitrenal damageresearch studyskill acquisitionskillsstudy populationtoolultrasound
项目摘要
PROJECT SUMMARY
Patients with chronic kidney disease (CKD) are at increased risks of developing cardiovascular disease,
progressing to end stage renal disease, and dying prematurely. Translation of scientific breakthroughs into
clinical trials is limited by our ability to identify the right study population. By assessing the degree of interstitial
fibrosis/tubular atrophy (IFTA), global glomerulosclerosis (GS), and microvascular disease (MVD), kidney
histopathology informs risk of CKD progression, independent of estimated glomerular filtration rate (eGFR) and
proteinuria. Prior studies implicate decreased renal microvascular perfusion and resultant chronic hypoxia in
the pathogenesis of renal fibrosis. Since kidney biopsy carries risks, investigation of a novel imaging biomarker
of renal microvascular perfusion may provide a non-invasive tool to identify a high-risk CKD phenotype. By
assessing the motion of intravascular microbubble contrast agents, contrast enhanced ultrasound (CEUS) may
detect renal microvascular perfusion. In exciting preliminary data, Dr. Srivastava found a low microbubble
wash-in rate, suggestive of low renal microvascular perfusion, in patients with advanced CKD and with severe
chronic histopathologic lesions. In the proposed studies, he will comprehensively evaluate the microbubble
wash-in rate in health and disease. In Aim 1, he will test the association of the microbubble wash-in rate with
gold standard assessments of renal blood flow and function, measured by para-aminohippurate and iohexol
clearances, respectively. In Aim 2, he will use the microbubble wash-in rate to differentiate patients with CKD
from healthy volunteers. In Aim 3, he will test the association of the microbubble wash-in rate with MVD, IFTA,
GS, and change in eGFR over time in individuals undergoing a native kidney biopsy. The results will inform the
field of novel non-invasive imaging biomarkers in CKD. Complementary to the highly clinically relevant studies,
Dr. Srivastava will implement a strategically focused career development plan 1) to acquire skills in image data
analysis and development of imaging biomarkers, 2) to incorporate imaging biomarkers into patient oriented
research studies, 3) to learn methods to perform imaging biomarker validation, 4) to develop scientific
management skills and build collaborations with biomarker and imaging experts, and 5) to increase research
portfolio and improve grantsmanship skills. To accomplish these goals, Dr. Srivastava assembled a multi-
disciplinary mentoring team of experts in patient oriented research and clinical trials in CKD (Primary mentor,
Dr. Tamara Isakova), CEUS (Co-mentor, Dr. Thomas Grant), biomarker development and validation (Dr.
Sushrut Waikar), CEUS image analysis (Dr. Jason Streeter), flow imaging (Dr. Michael Markl), and patient
oriented research with imaging endpoints (Dr. James Carr). Execution of the proposed studies, acquisition of
the training goals, and outstanding mentorship in a robust scientific environment at Northwestern University will
position Dr. Srivastava to transition to an independent investigator with unique expertise in use of novel non-
invasive imaging biomarkers in patient oriented research studies and clinical trials in patients with CKD.
项目摘要
慢性肾病(CKD)患者发生心血管疾病的风险增加,
发展为终末期肾病,并过早死亡。将科学突破转化为
临床试验受到我们确定正确研究人群的能力的限制。通过评估间质性
纤维化/肾小管萎缩(IFTA)、肾小球硬化(GS)和微血管疾病(MVD),肾脏
组织病理学提示CKD进展的风险,与估计的肾小球滤过率(eGFR)无关,
蛋白尿。先前的研究表明,肾脏微血管灌注减少,导致慢性缺氧,
肾纤维化的发病机制。由于肾活检存在风险,因此研究一种新的成像生物标志物
肾脏微血管灌注的检测可以提供一种非侵入性的工具来识别高危CKD表型。通过
为了评估血管内微泡造影剂的运动,造影增强超声(CEUS)可以
检测肾微血管灌注。在令人兴奋的初步数据中,Srivastava博士发现了一个低微泡
在晚期CKD和重度CKD患者中,
慢性组织病理学病变。在拟议的研究中,他将全面评估微泡
健康和疾病的洗入率。在目标1中,他将测试微泡洗入率与
通过对氨基马尿酸盐和碘海醇测量的肾血流量和功能的金标准评估
间隙,分别。在目标2中,他将使用微泡洗入率来区分CKD患者
健康的志愿者在目标3中,他将测试微泡洗入率与MVD,IFTA,
GS,以及接受自体肾活检的个体中eGFR随时间的变化。结果将通知
CKD的新型非侵入性成像生物标志物领域。作为高度临床相关研究的补充,
博士Srivastava将实施一个战略性的职业发展计划1)以获得图像数据方面的技能
分析和开发成像生物标志物,2)将成像生物标志物纳入面向患者的
研究研究,3)学习进行成像生物标志物验证的方法,4)开发科学
管理技能,并与生物标志物和成像专家建立合作关系,以及5)增加研究
投资组合和提高投资技巧。为了实现这些目标,Srivastava博士组装了一个多-
CKD患者导向研究和临床试验专家的学科指导团队(主要导师,
博士Tamara Isakova),CEUS(共同导师,托马斯格兰特博士),生物标志物开发和验证(博士。
Sushrut Waikar)、CEUS图像分析(Jason Streeter博士)、血流成像(Michael Markl博士)和患者
以成像终点为导向的研究(James卡尔博士)。执行拟议的研究,
在西北大学强大的科学环境中的培训目标和杰出的导师将
将Srivastava博士定位为在使用新型非药物方面具有独特专业知识的独立研究者,
在CKD患者中进行的以患者为导向的研究和临床试验中的侵入性成像生物标志物。
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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Anand Srivastava其他文献
Anand Srivastava的其他文献
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{{ truncateString('Anand Srivastava', 18)}}的其他基金
Non-invasive Imaging Biomarkers to Identify a High-risk Chronic Kidney Disease Phenotype
用于识别高风险慢性肾脏病表型的非侵入性成像生物标志物
- 批准号:
9891319 - 财政年份:2020
- 资助金额:
$ 19.09万 - 项目类别:
Non-invasive Imaging Biomarkers to Identify a High-risk Chronic Kidney Disease Phenotype
用于识别高风险慢性肾脏病表型的非侵入性成像生物标志物
- 批准号:
10337261 - 财政年份:2020
- 资助金额:
$ 19.09万 - 项目类别:
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