Development of a Novel Whole Genome Sequencing-based Platform for Rapid Identification and Antimicrobial Profiling of Uropathogens
Development of a Novel Whole Genome Sequencing-based Platform for Rapid Identification and Antimicrobial Profiling of Uropathogens
批准号:
10382740
负责人:
Amanda Nicole Billings
金额:
$30.39万
依托单位国家:
美国
项目类别:
财政年份:
2022
资助国家:
美国
项目状态:
已结题
起止时间:
2022-06-01 至 2023-01-31
关键词:
AddressAdvanced DevelopmentAlgorithmsAntibiotic ResistanceAntibiotic TherapyAntibiotic susceptibilityAntibioticsAntimicrobial ResistanceAntimicrobial susceptibilityBacteriaBacterial DNABloodBlood specimenCaringCellsCessation of lifeCharacteristicsClinicalCollectionCommunicable DiseasesCoupledCytolysisDNADataData AnalysesData CompromisingDetergentsDevelopmentDiagnosisDiagnosticDiagnostic SensitivityEconomic BurdenEmergency department visitEnsureEvidence based treatmentGenomicsGoalsHealthHospitalizationHospitalsHourHumanInfectionInfective cystitisInpatientsInterventionLength of StayLifeMachine LearningMedicalMembraneMicrobiologyModificationMolecularMorbidity - disease rateMorphologyMulti-Drug ResistanceNucleotidesPatient CarePatientsPerformancePhasePhysiciansPreparationProcessPropertyProtocols documentationQuality of CareRe 80Reaction TimeRecoveryResearchResistance profileResolutionRiskSamplingSourceTechnologyTestingTimeUrinary tract infectionUrineUropathogenViscosityantimicrobialbasecare outcomesclinically actionableclinically relevantcostcost effectivedata qualitydesigndiagnostic platformdiagnostic tooldiagnostic valueexperiencegenome sequencinghigh riskhuman DNAimprovedin-vitro diagnosticsinfection managementmortalitynanoporenovelnovel diagnosticspathogenpathogenic bacteriaprocess optimizationresearch clinical testingsample collectionstandard of caretargeted treatmentvalidation studieswhole genome
中文摘要
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英文摘要
Complicated urinary tract infections are severe or life-threatening infections that extend beyond a simple bladder
infection and occur most frequently in hospitalized patients. There are over 2.8 million cases of complicated
urinary tract infections in the U.S. each year, with 20% of cases progressing to urosepsis, leading to nearly
150,000 deaths each year. Effective management of complicated urinary tract infections requires the rapid
identification of the causative bacterial pathogen(s) and the associated antibiotic resistance profile. The current
standard of care, however, is urine culture, which requires 2-3 days from specimen collection until actionable
information to guide patient treatment is generated. Hence, there is an urgent need for diagnostic tools that will
allow for the rapid identification of uropathogens and their antimicrobial resistance/sensitivity profile(s). To
address this unmet need, Day Zero Diagnostics (DZD) is developing a diagnostic workflow that leverages whole
genome sequencing and machine learning to deliver high resolution species identification and antimicrobial
resistance and susceptibility profiling from a patient sample without the need for urine culture. These data will
guide evidence-based treatment decisions to improve patient care. The aims of this proposal are to (1)
demonstrate ultra-high enrichment of bacterial DNA from a diverse range of species from urine samples and (2)
optimize a sample preparation pipeline to deliver an actionable result in six hours or less, a clinically relevant
timeframe for complicated urinary tract infection. The proposed Specific Aims, with quantifiable target metrics,
are designed to demonstrate proof-of-concept in advance of the development of a commercial in vitro diagnostic.
Upon Phase I completion, Phase II will focus on optimizing the workflow, expanding test capabilities, and
analytical and clinical validation studies.
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