Real-Time High Resolution Method for Genomic Surveillance of ESKAPE pathogens
Real-Time High Resolution Method for Genomic Surveillance of ESKAPE pathogens
批准号:
10440946
负责人:
SE-RAN JUN
金额:
$22.8万
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:
2022-05-10 至 2024-04-30
关键词:
Acinetobacter baumanniiAdoptionAntibiotic ResistanceAntibioticsBacterial Antibiotic ResistanceBiological AssayClinicalClinical MedicineDNADNA MethylationDNA SequenceDataData ReportingData Storage and RetrievalDatabasesESKAPE pathogensEarly DiagnosisElderlyEnterobacterEnterococcus faeciumEpidemiologyEvaluation ReportsEventGene MutationGenetic MarkersGenomeGenomicsGenotypeGoalsHospitalsHourHuman ResourcesHybridsImmunocompromised HostInfectionInfection ControlInterventionKlebsiella pneumoniaeMapsMedicalMethodsMorbidity - disease rateNosocomial InfectionsOutcomePatient CarePredispositionPreventionProcessPseudomonas aeruginosaPublic HealthResistanceResistance profileResistance to infectionResolutionRouteSamplingSignal TransductionSourceStaphylococcus aureusStreamSurveillance MethodsSystemTestingTimeTranslatingTreesVirulentWorkantibiotic resistant infectionsantimicrobial resistant pathogenbasecomparativecostdata pipelinedata streamsdrug resistant pathogendrug standardgenome analysisgenomic epidemiologymortalitynanoporenovelpathogenpathogen genomicspathogenic bacteriapreventreference genomeresistance genesequencing platformtooltransmission process
中文摘要
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英文摘要
PROJECT SUMMARY/ABSTRACT
Antibiotic resistance is one of the most prominent public health threats. The burden of antibiotic resistance is
drastically increasing. Infections caused by antibiotic resistant bacteria are a significant cause of morbidity and
mortality especially in immunocompromised patients and elderly. Timely prevention and treatment of infections
caused by antibiotic resistant pathogens are gaining urgency.
Genomic surveillance of antibiotic resistant pathogens has emerged as an epidemiology tool to identify sources
and track transmission routes of infections caused by antibiotic resistant pathogens for infection control and to
evaluate antibiotic resistance for antibiotic stewardship. We believe that the adoption of routine use of such a
genomic pathogen surveillance system in hospitals would be revolutionary in clinical medicine and help make
hospitals safer places. However, the current genome-based surveillance methods do not have fast enough
turnaround time and discriminatory power to serve as the effective and responsible translational methods of
antibiotic resistant pathogens.
To fill this gap, we will develop a surveillance system with the two real-time genomic applications for infection
control and antibiotic stewardship focusing on ESKAPE, highly virulent and antibiotic resistant bacterial
pathogens, Enterococcus faecium, Staphylococcus aureus, Klebsiella pneumoniae, Acinetobacter baumannii,
Pseudomonas aeruginosa, and Enterobacter species. The proposed study will be the first attempt allowing for
real-time genomic surveillance which could be fully implemented and regularly used at hospitals. The proposed
applications will allow early detection of transmission events and targeted interventions to prevent transmissions
of antibiotic resistance infections and help in treatment of difficult infections supplementing antibiotic stewardship
efforts, and cost reductions.
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Real-Time High Resolution Method for Genomic Surveillance of ESKAPE pathogens
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批准号:10620361
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项目类别:
-
资助金额:$19.0万
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财政年份:2022
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负责人:SE-RAN JUN
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依托单位:
海外基金