Exploring Nanomechanical Fluctuations of Surface-Adhered Bacteria for a Novel Antibiotic Susceptibility Test
Exploring Nanomechanical Fluctuations of Surface-Adhered Bacteria for a Novel Antibiotic Susceptibility Test
批准号:
9165615
负责人:
Kamil Ekinci
金额:
$8.23万
依托单位国家:
美国
项目类别:
财政年份:
2016
资助国家:
美国
项目状态:
已结题
起止时间:
2016-06-01 至 2018-05-31
关键词:
Anti-Bacterial AgentsAntibiotic ResistanceAntibiotic TherapyAntibiotic susceptibilityAntibioticsBacteriaBacterial InfectionsBloodCell Culture TechniquesCellsCellular MorphologyDNA Sequence AlterationDevelopmentEscherichia coliExhibitsGeneticGoalsGoldGrowthHourLabelMeasurementMeasuresMechanicsMetabolicMethodsMicroscopeMicrospheresMonitorMulti-Drug ResistancePatientsPhysiciansPopulationPredispositionProcessPublic HealthSamplingSignal TransductionSilicon DioxideSpecimenStaphylococcus epidermidisSurfaceTest ResultTestingTransducersUrineantimicrobialbasecell motilityclinically relevantdrug resistant bacteriaimprovedinnovationnanomechanicalnovelnovel strategiespoint of careresistant strainresponsevibrationwound
中文摘要
项目摘要
抗生素敏感性试验(AST)确定是否有细菌分离物从
患者的血液、伤口样本或尿液对所施用的抗生素敏感。标准
抗生素敏感性测试测量所施用抗生素中取样细菌的生长
并且需要较长的细胞培养步骤。此R 03应用程序提出了一个根本不同的
方法,其中表面粘附的细菌的活性将被监测。的细菌
已知粘附在表面上的纳米颗粒表现出不间断的纳米力学波动(随机
振动)。这项研究旨在证明这些波动是由于代谢活动,
细菌,并与抗生素反应相关。作为第一步,临床上-
相关细菌,具有不同的细胞形态和不同的机制,
将测量运动性。然后,将这些细菌的抗生素敏感性关联起来
它们的纳米力学波动。抗生素敏感性的拟议方法
测试是表型和无标签的。它将消除对广泛培养的需要,
快速测试。最后,它足够简单,它可能有潜力用于点-
护理设置。
英文摘要
PROJECT SUMMARY
An antibiotic susceptibility test (AST) determines whether or not bacterial isolates from a
patient’s blood, wound specimens, or urine are susceptible to administered antibiotics. Standard
antibiotic susceptibility tests measure the growth of sampled bacteria in administered antibiotics
and require long cell culturing steps. This R03 application proposes a fundamentally different
method, in which the activity of surface-adhered bacteria will be monitored. Bacteria that are
adhered on a surface are known to exhibit incessant nanomechanical fluctuations (random
vibrations). This study aims to prove that these fluctuations are due to metabolic activity of
bacteria and are correlated with the antibiotic response. As a first step, fluctuations of clinically-
relevant bacteria, which possess different cellular morphologies and different mechanisms of
motility, will be measured. Then, the antibiotic susceptibility of these bacteria will be correlated
with their nanomechanical fluctuations. The proposed approach to antibiotic susceptibility
testing is phenotypic and label-free. It will eliminate the need for extensive culturing and allow
for rapid testing. Finally, it is simple enough that it might have the potential to be used at point-
of-care settings.
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