Enzyme-enabled hyperpolarized 13C MRI for antibody-targeted imaging
Enzyme-enabled hyperpolarized 13C MRI for antibody-targeted imaging
批准号:
10055495
负责人:
Joseph Pao Yung Kao
金额:
$42.49万
依托单位国家:
美国
项目类别:
财政年份:
2020
资助国家:
美国
项目状态:
已结题
起止时间:
2020-09-21 至 2024-03-20
关键词:
Adverse effectsAmmoniaAnimal ModelAnimalsAntibodiesAntibody SpecificityAntigensBacteriaBicarbonatesBindingBiological AssayBiomedical EngineeringBreast Cancer CellBreast Cancer ModelBreast Cancer PatientBreast Cancer cell lineCatalysisCell Culture TechniquesCell LineCellsClinical TrialsComplementContrast MediaCoupledDetectionDevelopmentDevicesDiagnosisDiagnosticDiseaseEGFR Protein OverexpressionEnzymesEpidermal Growth Factor ReceptorGoalsGrowthHormonalHumanImageImaging TechniquesIonizing radiationLabelLinkLocationMCF7 cellMagnetic ResonanceMagnetic Resonance ImagingMagnetic Resonance SpectroscopyMalignant NeoplasmsMeasurementMeasuresMetabolicMetabolismMethodsMissionModalityMonitorMusNational Institute of Biomedical Imaging and BioengineeringNormal tissue morphologyNuclearOpticsParentsPatient CarePatient riskPatientsPerfusionPhysiologic MonitoringPlantsPlayPositron-Emission TomographyPre-Clinical ModelPrediction of Response to TherapyPredictive FactorRadioactiveRadionuclide ImagingRelaxationResearchResearch SupportRisk stratificationRoleSafetySelection for TreatmentsSignal TransductionSpecificitySystemTechniquesTherapeutic UsesTherapy EvaluationTimeToxic effectUreaUreaseantibody conjugateantigen bindingbasebioimagingcancer therapycell typechemotherapyclinical translationdisorder preventionenzyme substrateexperimental studyimaging approachimaging modalityimprovedin vivoin vivo Modelin vivo imaginginterestmalignant breast neoplasmmetabolic imagingnoveloptical imagingoverexpressionprecision medicinereceptorresearch and developmentresponsesingle photon emission computed tomographytargeted agenttargeted imagingtargeted treatmenttooltreatment responsetumortumor xenograftvirtual
中文摘要
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英文摘要
In keeping with the mission of NIBIB to support research and development of “new biomedical imaging and
bioengineering techniques and devices to fundamentally improve the detection, treatment, and prevention of
disease,” the overarching goal of this proposal is to develop a novel magnetic resonance imaging (MRI)-based
method for antibody-targeted imaging without ionizing radiation. As part of the precision medicine approach to
patient care, antibody-based targeted therapies have become an important tool for the treatment of cancer and
their application holds promise in other diseases. In addition to their therapeutic use, the high specificity with
which antibodies recognize and bind antigens is being exploited for diagnostic purposes. In particular, antibody-
targeted imaging techniques can play important roles in diagnosis, patient risk stratification, selection of targeted
therapies, evaluation of response to therapy and prediction of adverse effects. While antibody-targeted agents
have been created for nearly every imaging modality the majority utilize radioactive and/or optical probes due to
the high sensitivity of the respective modality. The development of antibody-targeted MRI strategies has been
less successful due to the inherently low sensitivity of MRI coupled with the toxicity of strong MR contrast agents.
The development of so-called hyperpolarized (HP) 13C MRI using externally pre-magnetized molecules
produces signal enhancement on the order of four orders of magnitude. Using metabolically active compounds
permits real-time observation of metabolic processes in vivo through measurement of both the injected agent
and downstream metabolic products. Directly labeling and hyperpolarizing an antibody may be feasible, but the
signal would be very weak at typical concentrations, and the polarization would likely be lost due to the fast
relaxation before the antibodies reach their target. Here we propose to develop a new antibody-targeted MRI
technique that leverages the multiple signal amplification factors inherent in both HP 13C MRI and enzyme
catalysis. By linking the exogenous enzyme urease to an antibody targeting a specific antigen and using HP 13C-
urea as the substrate the location of the antibody can be imaged without background signal through the detection
of the metabolic products 13CO2 and 13C-bicarbonate. We will evaluate the method by linking urease to an
antibody that targets the human epidermal growth factor receptor 2 (HER2) antigen as overexpression of HER2
has been identified in 20% of breast cancer (BCa) patients and is also a predictive factor of response to
chemotherapy and hormonal treatment. Specifically, we will first evaluate the targeting specificity and the signal
strength of the urease-antibody conjugate in BCa cell cultures (Aim 1) followed by evaluating the safety and
efficacy of the technique for in vivo imaging in a murine BCa model (Aim 2).
Although this proposal is focused on imaging HER2 expression in a BCa model the imaging approach can
be applied to any cancers or other diseases that present unique antigens as a target.
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