Sensitive Detection of Urinary Biomarkers of Renal Injury
Sensitive Detection of Urinary Biomarkers of Renal Injury
批准号:
8199509
负责人:
GARY M NISHIOKA
金额:
$15.0万
依托单位国家:
美国
项目类别:
财政年份:
2011
资助国家:
美国
项目状态:
已结题
起止时间:
2011-09-15 至 2012-08-31
关键词:
AntibodiesBiological AssayBiological MarkersClinicalCollectionDetectionDiagnosticEarly DiagnosisEnzymesGelatinase AImmunoassayInjuryKidneyKidney DiseasesKidney TransplantationLinkModelingPatientsPerformancePharmaceutical PreparationsPharmacotherapyPhasePolymersProceduresProtocols documentationResearchSamplingSensitivity and SpecificitySiliconStagingSurfaceTestingUrineinterestprogramsurinary
中文摘要
描述(由申请人提供):如果成功,该程序将产生一种检测芯片,可收集、稳定和准确定量一套指示肾损伤的生物标志物。它的灵敏度和准确性可能使其能够检测到缓慢发生的肾损伤。它的多分析物能力可以区分不同的肾损害机制。它应适用于自动化测定,因此可用于临床环境。
公共卫生相关性:对于肾病患者、接受肾移植的患者和接受药物治疗的患者,尤其是可能导致肾损伤的新药,早期诊断肾损伤的必要性非常重要。传统的生物标志物不能检测早期肾损伤。出于这个原因,在寻找肾损伤的新生物标志物方面存在高度兴趣和活动。开发使用新生物标志物的新测定形式的活动较少。我们建议开发这样的测定。我们建议开发一种诊断芯片,能够收集,稳定,高灵敏度和准确的定量的一套生物标志物指示肾损伤。
英文摘要
DESCRIPTION (provided by applicant): If successful, this program will result in an assay chip that collects, stabilizes, and accurately quantifies a suite of biomarkers indicative of renal injury. Its sensitivity and accuracy may enable it to detect slowly occurring renal damage. Its multianalyte capability could distinguish different mechanisms of renal damage. It should be adaptable to automated assays and hence usable in a clinical setting.
PUBLIC HEALTH RELEVANCE: The need for an early diagnosis of renal injury is important for patients with renal disease, for those undergoing kidney transplantation, and for patients undergoing drug therapy, especially new drugs that may cause renal damage. Traditional biomarkers are not capable of detecting early stages of renal damage. For this reason there is high interest and activity in the search for new biomarkers of renal damage. There is less activity in developing new assay formats that use new biomarkers. We propose to develop a such an assay. We propose developing a diagnostic chip capable of collection, stabilization, and highly sensitive and accurate quantification of a suite of biomarkers indicative of renal damage.
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