A Culture-Free Platform for Rapid Pathogen Identification
A Culture-Free Platform for Rapid Pathogen Identification
批准号:
8979672
负责人:
Alon Singer
金额:
$78.16万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2014
资助国家:
美国
项目状态:
已结题
起止时间:
2014-08-01 至 2017-07-31
关键词:
AccountingAddressAdoptionAffectAntifungal AgentsAutomationAutomobile DrivingBiological AssayBloodBlood VolumeBlood specimenChemistryClinicalClinical MicrobiologyClinical TrialsDetectionDevelopmentDevice DesignsDevicesDiagnosisDiagnosticDiseaseDrug resistanceEngineeringFundingFungemiaGoalsHeadHealthHourHumanIndividualInfectionInflammatory ResponseInjection of therapeutic agentInterventionLaboratoriesLifeMedical DeviceMoldsMycosesNucleic AcidsOutcomePatientsPerformancePhasePreparationPrevalenceProcessPublic HealthReadingReagentRiskSamplingSensitivity and SpecificitySepsisSpecimenSpeedStreamSurfaceSymptomsSystemTechnologyTestingTimeTreatment ProtocolsVenous blood samplingWitWorkaccurate diagnosisantimicrobialassay developmentbaseclinical practiceclinically relevantcommercializationcostdesigndiagnostic assaydiagnostic panelexperienceimprovedinstrumentationinternal controlmeetingsmortalitynotch proteinnucleic acid analogpathogenrapid diagnosisresearch and developmentskillssynthetic nucleic acidtargeted treatment
中文摘要
描述(由申请人提供):真菌败血症或真菌血症是一个严重的公共卫生问题,每年在美国折磨超过10万名患者,其中近38%的患者无法生存。在真菌病中,早期靶向治疗可以挽救生命,考虑到疾病发展的速度,可能是改善结果的最关键因素。不幸的是,鉴于今天的诊断过程耗时,这种疾病的根本原因通常被发现得太晚了。目前的诊断方法不能促进早期启动有针对性的抗真菌干预,因为它们需要培养,这需要长达2-5天的时间才能准确识别感染病原体。因此,目前的治疗方案使用的是“最佳猜测”方法,这不仅效果较差,而且同样会增加并发症,并增加耐药病原体的流行。在达到并超越了我们的I期具体目标后,该II期提案的重点是将整个诊断自动化为完全集成的、样本到答案的消耗品,从而能够在大约2小时内直接从采血标本中自动识别临床上最流行的真菌病原体;没有人为干预。我们将开发的从样本到答案的诊断方法将产生深远的影响,不仅可以通过提供一种制定假设驱动的一线干预措施的手段来改善结果,还可以减少过度和不必要的抗微生物药物的使用。为了在第二阶段取得成功,我们在HelixBind组建了一支顶尖的团队,包括分析开发、合成核酸类似物应用、样品到答案自动诊断的设计和实施以及生物医学仪器开发方面的专家。此外,我们还招募了临床微生物学,表面化学和核酸类似物方面的关键战略顾问以及具有医疗设备开发和商业化经验的成功企业家。我们将共同建立我们已经令人印象深刻的第一阶段结果,已经建立了直接从加标的人类样本中获得低于10 CFU/ml灵敏度水平的物种水平的能力。为了建立我们的自动化和无培养诊断的性能,我们将在临床合作伙伴的帮助下,通过评估我们诊断的临床特异性和敏感性来完成第二阶段。在实现了II期具体目标后,我们将继续开发可部署的仪器/耗材,并验证我们的整个诊断,为关键的临床试验做准备。
英文摘要
DESCRIPTION (provided by applicant): Fungal sepsis, or fungemia, is a serious public health concern afflicting over 100,000 patients every year in the US where almost 38% of those do not survive. In fungemia early targeted treatment is life-saving, and considering the rate at which the disease develops, is perhaps the most crucial factor to improving outcomes. Unfortunately, given the time-consuming diagnostic process today, the underlying cause of this disease is typically identified too late. Current diagnostics do not facilitate early initiation of a targeted antifungal intervention - as they require culturing, which requires as long as 2-5 days for accurate identification of the infecting pathogen. Hence current treatment protocols use 'best-guess' approaches which are not only less effective, but likewise increase complications, and increase the prevalence of drug resistant pathogens. Having met our and exceeded our Phase I Specific Aims, this Phase II proposal focuses on the automation of the entire diagnostic into a fully-integrated, sample-to-answer consumable enabling the automated species- level identification of the most clinically prevalent fungal pathogens directly from phlebotomy specimens, in roughly 2 hours; without human intervention. The sample-to-answer diagnostic we will develop will have profound impact, both by improving outcomes by providing a means to develop a hypothesis driven first-line intervention, and likewise by reducing the use of excessive and unnecessary antimicrobials. To succeed in this Phase II we have put together a top-notch team at HelixBind, including experts in assay development, application of synthetic nucleic acid analogues, the design and implementation of sample-to- answer automated diagnostics, and in biomedical instrumentation development. Additionally we have enlisted key strategic advisors in clinical microbiology, surface chemistry, and nucleic acid analogues as well as successful entrepreneurs with experience in the development and commercialization of medical devices. Together, we will build upon our already impressive Phase I results, having established species level capability at sub-10 CFU/ml sensitivity levels directly from spiked human samples. To establish the performance capability our automated and culture-free diagnostic, we will culminate this Phase II by assessing the clinical specificity and sensitivity of our diagnostic wit the assistance of our clinical partner. Having achieved our Phase II Specific Aims, we will move forward and develop deployable instrumentation/consumables and validate our entire diagnostic in preparation for the pivotal clinical trial.
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会议论文
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海外基金