Finding NEMO's Switchable MRI Signal Using Microfluidic Tumor Models
使用微流控肿瘤模型寻找 NEMO 的可切换 MRI 信号
基本信息
- 批准号:10652001
- 负责人:
- 金额:$ 44.46万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2023
- 资助国家:美国
- 起止时间:2023-07-05 至 2026-06-30
- 项目状态:未结题
- 来源:
- 关键词:3-DimensionalAddressAnxietyAwardBenignBiodistributionBloodBlood VesselsBrainBreast Cancer CellBreast Cancer DetectionBreast Cancer Early DetectionBreast Magnetic Resonance ImagingCancer DetectionCancerousCell Culture TechniquesCell SurvivalCellsCharacteristicsClinicClinical TrialsCoculture TechniquesComplex AnalysisConfocal MicroscopyContrast MediaDataDevicesEarly DiagnosisEncapsulatedEndosomesEndothelial CellsEngineeringEnsureEnvironmentEvaluationExhibitsExtracellular MatrixExtracellular SpaceFormulationGadoliniumGoalsIn VitroLabelMRI ScansMacrophageMagnetic Resonance ImagingMalignant - descriptorMalignant NeoplasmsMammary Gland ParenchymaMammographyMedical Care CostsMedical ImagingMedical WasteMetalsMethodsMicrofluidic MicrochipsMicrofluidicsModelingMucin 1 proteinMusNormal tissue morphologyOutcomePatient-Focused OutcomesPeptidesPerformancePerfusionPhysiologicalPublic HealthResearchResolutionSafetyScienceScreening procedureSignal TransductionSkinSpecificityTestingTimeToxic effectTrainingUniversitiesWest VirginiaWorkbonebreast cancer diagnosiscancer cellcell growthchelationcytotoxicitydensityfollow-uphigh throughput screeningimaging agentimaging detectionimprovedin vivoinnovationmalignant breast neoplasmmanganese oxidemicrodevicenanonanomaterialsneoplastic cellnoveloptical imagingorthotopic breast canceroverexpressionparticleportabilitypreclinical developmentpreclinical studyrecruitsupplemental screeningtumorundergraduate studentuptakeyoung woman
项目摘要
PROJECT SUMMARY
Misdiagnosis is prevalent in younger women with dense breast tissue receiving breast cancer screening,
resulting in missed cancers, needless follow-up testing, anxiety, and medical costs. Compared to mammography,
magnetic resonance imaging (MRI) detects more breast cancers but still suffers from high false positive rates
due to the conventional contrast agents used, e.g., gadolinium (Gd)-chelates. Our long-term goal is to develop
novel, safe contrast agents for early detection of breast cancer that reduce the false positives and false negatives
of breast MRI. The poor performance of Gd-chelates results from their lack of targeting and constant MRI signal.
By remaining active, Gd-chelates produce high background signal in normal tissues and highlight both benign
and malignant tumors. To address our long-term goal, we have developed Nano-, Encapsulated Manganese
Oxide (NEMO) particles that will provide superior replacements for Gd-chelates. Our preliminary data shows that
NEMO particle specificity is achieved by adding peptide targeting to underglycosylated mucin-1, which is
overexpressed exclusively on breast cancer cells. NEMO particles provide a unique pH-switchable signal that is
only activated upon internalization in acidic tumor cell endosomes (pH 5). No MRI signal is produced at pH of
the blood (pH 7.4) or tumor extracellular space (pH 6.5). Our in vivo studies demonstrate that NEMO particles
are safely tolerated in mice and exhibit a stronger signal than Gd-chelates. Currently, no high throughput method
exists for testing new MRI contrast agents that predicts in vivo performance. The goals of the current project are
to develop an innovative portable apparatus to enable evaluation of the sensitivity, specificity, and safety profile
of NEMO particles vs. Gd-chelates using MRI and optical imaging of 3D microfluidic tumor models. Our central
hypothesis is that NEMO particles will elicit low toxicity, specifically label breast cancer cells, and yield higher
MRI contrast compared to Gd-chelates in 3D microfluidic tumor models and in mice with breast cancer. Our
hypothesis will be tested with two aims: 1) Evaluate NEMO particle vs. Gd-chelate MRI contrast in 3D microfluidic
tumor models and mice. 2) Evaluate toxicity and distribution of NEMO particles in 3D microfluidic tumor models
and mice. This project is innovative because NEMO particles uniquely respond to endosomal pH to generate
contrast only inside breast cancer cells to provide a simple binary readout (benign “OFF”, malignancy “ON”).
Previously developed pH-sensitive MRI contrast agents respond to the acidic extracellular space, which is similar
in benign and malignant tumors. We will also create a novel apparatus to enable MRI of 3D microfluidic tumor
models for the first time. The proposed research is significant because we will demonstrate that NEMO particles
have superior specificity, signal strength, and safety compared to Gd-chelates. This R15 award will offer cutting-
edge training to undergraduates in nanomaterials and medical imaging research at West Virginia University.
Over 3 years, 6 undergraduates pursuing engineering or biomedical sciences degrees will be recruited, trained,
and assessed. This work will lead to further preclinical development and clinical trials of NEMO particles.
项目摘要
在接受乳腺癌筛查的密集乳腺组织的年轻女性中,误诊很普遍,
导致错过的癌症,不必要的随访测试,焦虑和医疗费用。与乳房X线摄影相比
磁共振成像(MRI)检测到更多的乳腺癌,但仍然患有高误报率
由于使用了常规的对比剂,例如Gadolinium(GD) - chelates。我们的长期目标是发展
新颖的,安全的对比剂,用于早期检测乳腺癌,以减少假阳性和假否定性
乳房MRI。 GD螯合物的性能不佳是由于它们缺乏靶向和持续的MRI信号而导致的。
通过保持活跃,GD氯酸盐在正常组织中产生高背景信号,并突出显示两者良性
和恶性肿瘤。为了解决我们的长期目标,我们开发了纳米式锰
氧化物(NEMO)颗粒将为GD螯合物提供优越的替代。我们的初步数据表明
Nemo颗粒特异性是通过将胡椒靶向添加到潜在的粘蛋白1来实现的,
仅在乳腺癌细胞上过表达。 Nemo颗粒提供了独特的pH开关信号
仅在酸性肿瘤细胞内体内内化后激活(pH 5)。在pH的pH下未产生MRI信号
血液(pH 7.4)或肿瘤细胞外空间(pH 6.5)。我们的体内研究表明Nemo颗粒
在小鼠中安全耐受性耐受性,并暴露于GD螯合物的信号更强。目前,没有高通量方法
存在用于预测体内性能的新的MRI对比剂的新MRI对比剂。当前项目的目标是
开发创新的便携式设备以评估灵敏度,特异性和安全性概况
使用MRI和3D微流体肿瘤模型的光学成像的Nemo颗粒与GD-螯合物的组成。我们的中心
假设是Nemo颗粒将引起低毒性,特别是标记乳腺癌细胞,并产生更高的毒性
与3D微流体肿瘤模型和患有乳腺癌的小鼠中的GD氯酸盐相比,MRI对比度。我们的
假设将以两个目的测试:1)评估3D微流体中的Nemo粒子与GD-螯合MRI对比度
肿瘤模型和小鼠。 2)评估3D微流体肿瘤模型中NEMO颗粒的毒性和分布
和老鼠。该项目具有创新性,因为Nemo颗粒对内体pH的唯一反应以生成
仅在乳腺癌细胞内进行对比,以提供简单的二元读数(良性“ OFF”,恶性“ ON”)。
先前开发的pH敏感MRI对比剂对酸性细胞外空间有反应,这是相似的
在良性和恶性肿瘤中。我们还将创建一个新型设备,以实现3D微流体肿瘤的MRI
第一次模型。拟议的研究很重要,因为我们将证明Nemo颗粒
与GD螯合物相比,具有优异的特异性,信号强度和安全性。该R15奖将提供挑战 -
西弗吉尼亚大学的纳米材料和医学成像研究的本科生的边缘培训。
在3年的时间里,将招募,培训,培训,培训,培训,攻读工程或生物医学科学学位的6名本科生
并评估。这项工作将导致进一步的临床前开发和NEMO颗粒的临床试验。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
数据更新时间:{{ journalArticles.updateTime }}
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
Margaret Bennewitz其他文献
Margaret Bennewitz的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ truncateString('Margaret Bennewitz', 18)}}的其他基金
Tumor-targeted pH-sensitive manganese oxide nanoparticle for enhanced breast cancer detection using MRI
肿瘤靶向 pH 敏感氧化锰纳米颗粒用于增强 MRI 乳腺癌检测
- 批准号:
10487424 - 财政年份:2018
- 资助金额:
$ 44.46万 - 项目类别:
Tumor-targeted pH-sensitive manganese oxide nanoparticle for enhanced breast cancer detection using MRI
肿瘤靶向 pH 敏感氧化锰纳米颗粒用于增强 MRI 乳腺癌检测
- 批准号:
10709272 - 财政年份:2018
- 资助金额:
$ 44.46万 - 项目类别:
Tumor-targeted pH-sensitive manganese oxide nanoparticle for enhanced breast cancer detection using MRI
肿瘤靶向 pH 敏感氧化锰纳米颗粒用于增强 MRI 乳腺癌检测
- 批准号:
10246798 - 财政年份:2018
- 资助金额:
$ 44.46万 - 项目类别:
相似国自然基金
时空序列驱动的神经形态视觉目标识别算法研究
- 批准号:61906126
- 批准年份:2019
- 资助金额:24.0 万元
- 项目类别:青年科学基金项目
本体驱动的地址数据空间语义建模与地址匹配方法
- 批准号:41901325
- 批准年份:2019
- 资助金额:22.0 万元
- 项目类别:青年科学基金项目
大容量固态硬盘地址映射表优化设计与访存优化研究
- 批准号:61802133
- 批准年份:2018
- 资助金额:23.0 万元
- 项目类别:青年科学基金项目
IP地址驱动的多径路由及流量传输控制研究
- 批准号:61872252
- 批准年份:2018
- 资助金额:64.0 万元
- 项目类别:面上项目
针对内存攻击对象的内存安全防御技术研究
- 批准号:61802432
- 批准年份:2018
- 资助金额:25.0 万元
- 项目类别:青年科学基金项目
相似海外基金
VIS4ION-Thailand (Visually Impaired Smart Service System for Spatial Intelligence and Onboard Navigation) - Resub - 1
VIS4ION-泰国(视障空间智能和车载导航智能服务系统)- Resub - 1
- 批准号:
10903051 - 财政年份:2023
- 资助金额:
$ 44.46万 - 项目类别:
Advancing Photoacoustic Tomography in breast imaging to predict response in breast cancers treated with neoadjuvant therapy
推进乳腺成像中的光声断层扫描以预测新辅助治疗乳腺癌的反应
- 批准号:
10715163 - 财政年份:2023
- 资助金额:
$ 44.46万 - 项目类别:
Commercial Readiness for Direct-to-Digital Pathology
直接数字病理学的商业准备
- 批准号:
10678409 - 财政年份:2023
- 资助金额:
$ 44.46万 - 项目类别:
Mobile Three-Dimensional Screening for Cranial Malformations
颅骨畸形移动三维筛查
- 批准号:
10888913 - 财政年份:2023
- 资助金额:
$ 44.46万 - 项目类别: