Optimization of CEST MRI for detection of bacteria
Optimization of CEST MRI for detection of bacteria
批准号:
9303352
负责人:
Guanshu Liu
金额:
$8.08万
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:
2016-07-01 至 2018-04-30
关键词:
AddressAmidesAminationAminesAnaerobic BacteriaAnimal ModelAnimalsAntineoplastic AgentsBacteriaBacterial InfectionsBifidobacteriumBone MarrowBrainBrain NeoplasmsCell SurvivalCellsCessation of lifeCharacteristicsChemicalsClinicalClinical TrialsClostridiumContrast MediaDataDetectionDevelopmentDiagnosisEnvironmentEscherichiaEventExperimental Autoimmune EncephalomyelitisExperimental NeoplasmsFrequenciesGerminationGliomaGoalsGrowthHourHydroxyl RadicalHypoxiaImaging technologyInfectionInflammationInflammatoryInjectableInjection of therapeutic agentInvestigationKineticsKnowledgeLabelLesionMagnetic Resonance ImagingMeasuresMedicalMethodsMissionModelingMonitorMorbidity - disease rateOrganPathologyPhase I Clinical TrialsPhysiologic pulseProtocols documentationProtonsPublic HealthRadioactiveReportingReproduction sporesResearchResolutionSalmonellaSignal TransductionSolid NeoplasmSpecificityTechniquesTechnologyTechnology TransferTestingTherapeuticTimeTreatment EfficacyUnited States National Institutes of HealthWaterbasebioluminescence imagingcancer therapyclinical applicationclinical practiceclinically translatablehuman diseaseimaging agentimaging approachimaging biomarkerimaging modalityimprovedinnovationinterestmetallicitymolecular imagingmortalityneoplastic cellnon-invasive imagingnovelnovel therapeuticspathogenpathogenic bacteriapre-clinicalpredictive markersuccesstemporal measurementtumortumor eradication
中文摘要
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英文摘要
It is highly desired to develop new non-invasive imaging approach for detecting bacterial infection with
improved specificity and spatial-temporal resolution. Although to date there are a number of molecular
imaging approaches have been demonstrated for bacterial infection in the preclinical animal models, there
is clearly a gap between the demand of clinically-compatible imaging methods and conventional tagging
strategies, which often require the use of metallic or radioactive contrast agents. To address this gap, we
are developing a “non-labeled” (i.e., not radioactive, and not paramagnetic- or super-paramagnetic-)
approach for detecting bacteria. In this approach bacterial cells are directly detected through their
endogenous molecules using an innovative MRI technology called Chemical Exchange Saturation
Transfer (CEST). The long-term goal of our research is to exploit this endogenous bacteria-specific CEST
MRI signal to detect pathogenic bacteria and monitor the progress of bacterial infection. As initially
demonstrated in solid tumors, we showed that CEST MRI could detect a therapeutic bacteria C. novyi-NT,
a genetically modified bacteria strain currently in the Phase I clinical trial for treating solid tumors. Based
on the preliminary data, we hypothesize that CEST MRI that detects the germination and proliferation of
C. novyi-NT can be used as a non-invasive imaging biomarker for predicting the success of bacteriolytic
therapy on glioma, a highly lethal brain tumor type. We plan to test our hypothesis through completing the
following two specific aims: 1) To improve the specificity of bacterial CEST contrast using newly
developed CEST technologies, and 2) To test and validate the optimized bacterial CEST MRI detection in
the C. novyi-NT cancer therapy. We anticipate that accomplishing these aims will result in a highly
translatable MRI technology specifically for bacterial detection, which could be used immediately as an
imaging biomarker in the clinical trials of C.novyi-NT bacteriolytic therapy. More importantly, the
knowledge gained from this project will enable a further expansion of using the proposed CEST MRI
methods to the detection of many other types of bacteria, which will be enormously useful for the
diagnosis and treatment monitoring of bacterial infection in deep organs, such as brain, which are
currently difficult to detect.
期刊论文(5)
专著(0)
科研奖励(0)
会议论文
DOI:
10.1016/j.bios.2019.111442
发表时间:
2019-09
期刊:
Biosensors & bioelectronics
影响因子:
12.6
作者:
[Jia Zhang;Yue Yuan;Zheng Han;Yuguo Li;P. V. van Zijl;Xing Yang;J. Bulte;Guanshu Liu]
通讯作者:
Jia Zhang;Yue Yuan;Zheng Han;Yuguo Li;P. V. van Zijl;Xing Yang;J. Bulte;Guanshu Liu
Detection and Quantification of Hydrogen Peroxide in Aqueous Solutions Using Chemical Exchange Saturation Transfer.
使用化学交换饱和转移在水溶液中检测和定量过氧化氢。
DOI:
10.1021/acs.analchem.7b01763
发表时间:
2017-07-18
期刊:
Analytical chemistry
影响因子:
7.4
作者:
[Ryoo D, Xu X, Li Y, Tang JA, Zhang J, van Zijl PCM, Liu G]
通讯作者:
Liu G
DOI:
10.1002/mrm.27180
发表时间:
2018-08
期刊:
Magnetic resonance in medicine
影响因子:
3.3
作者:
[Liu J, Bai R, Li Y, Staedtke V, Zhang S, van Zijl PCM, Liu G]
通讯作者:
Liu G
MPI/MRI bimodal imaging for non-invasive tracking of extracellular vesicles targeted to infarcted myocardium
-
批准号:10557225
-
项目类别:
-
资助金额:$47.93万
-
财政年份:2022
-
负责人:Guanshu Liu
-
依托单位:
MPI/MRI bimodal imaging for non-invasive tracking of extracellular vesicles targeted to infarcted myocardium
-
批准号:10366590
-
项目类别:
-
资助金额:$48.71万
-
财政年份:2022
-
负责人:Guanshu Liu
-
依托单位:
CEST MRI assessment of tumor vascular permeability using non-labeled dextrans
-
批准号:9297917
-
项目类别:
-
资助金额:$17.58万
-
财政年份:2017
-
负责人:Guanshu Liu
-
依托单位:
Noninvasive prediction of tumor response to gemcitabine using MRI
-
批准号:9328948
-
项目类别:
-
资助金额:$37.49万
-
财政年份:2017
-
负责人:Guanshu Liu
-
依托单位:
Monitoring Prodrug Delivery in Suicide Gene Therapy Using CEST MRI
-
批准号:8510646
-
项目类别:
-
资助金额:$19.05万
-
财政年份:2012
-
负责人:Guanshu Liu
-
依托单位:
Monitoring Prodrug Delivery in Suicide Gene Therapy Using CEST MRI
-
批准号:8356569
-
项目类别:
-
资助金额:$24.25万
-
财政年份:2012
-
负责人:Guanshu Liu
-
依托单位:
海外基金