Sensitivity enhanced MRI imaging of receptor binding in breast cancer

乳腺癌受体结合的灵敏度增强 MRI 成像

基本信息

项目摘要

Cancer remains one of the leading causes of death in the industrialized world. In recent years, there has been a resurgence of interest in tumor lactate metabolism since lactate has been associated with metastases and poor prognosis in cancer patients. Recent discoveries have identified that the cell surface lactate receptor HCA1 is associated with tumorigenesis and metastasis and thus an attractive imaging target and possible therapeutic target. However, because lactate exhibits low affinity and a fast turnover rate, current in vivo molecular imaging techniques are not well suited to image these types of targets. We have developed a novel MRI based approach for detecting the low affinity binding of natural (no chemical modification) substrates to molecular targets and a unique molecular pump scheme that enhances the sensitivity two to three orders of magnitude thus making this technology applicable for in vivo studies. Importantly, this method can be implemented on standard MRI hardware and thus rapidly translated to the clinic. We propose developing, optimizing, and validating this approach for imaging the binding of lactate to HCA1 receptors in breast cancer. In AIM 1, we will validate the specificity of detecting lactate-HCA1 binding in vitro using (i) perfused breast cancer cells that express different levels of the HCA1 receptor, and (ii) MRI pulse sequence optimization. In AIM 2, we will validate the specific binding of lactate to breast cancer cells in vivo. We will further probe lactate binding using the infusion of L-lactate or D-glucose (metabolized to lactate), both FDA approved for iv use in humans. These aims are expected to result in a MRI method for imaging the binding of low-affinity ligands to a cell target. Due to the nature of the labelling approaches, these MRI methods will be highly tunable to a broad range of other substrates-target pairs.
癌症仍然是工业化世界的主要死亡原因之一。近年来,已经有 由于乳酸盐与转移有关,因此对肿瘤乳酸盐代谢的兴趣重新燃起, 癌症患者预后差。最近的研究发现,细胞表面的乳酸受体 HCA 1与肿瘤发生和转移相关,因此是一个有吸引力的成像靶点, 治疗靶点然而,由于乳酸盐表现出低亲和力和快速周转率, 分子成像技术不太适合于对这些类型的目标成像。我们已经开发出一种新颖 用于检测天然(无化学修饰)底物与 分子靶和独特的分子泵方案,提高了两到三个数量级的灵敏度, 因此使该技术适用于体内研究。重要的是,这种方法可以 在标准MRI硬件上实现,从而快速转化为临床。我们建议发展, 优化和验证这种方法用于成像乳酸与乳腺癌中HCA 1受体的结合。 在AIM 1中,我们将验证体外检测乳酸-HCA 1结合的特异性, 表达不同水平HCA 1受体的乳腺癌细胞,和(ii)MRI脉冲序列 优化.在AIM 2中,我们将在体内验证乳酸与乳腺癌细胞的特异性结合。我们将 使用L-乳酸盐或D-葡萄糖(代谢为乳酸盐)输注进一步探测乳酸盐结合,两者均为FDA 批准用于人体静脉注射。 这些目标预期将导致用于成像低亲和力配体与靶分子结合的MRI方法。 一个细胞目标由于标记方法的性质,这些MRI方法将是高度可调的,以适应不同的应用。 广泛的其他底物-靶标对。

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 }}

Nirbhay Narayan Yadav其他文献

Nirbhay Narayan Yadav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('Nirbhay Narayan Yadav', 18)}}的其他基金

Non-Invasive Imaging of Neurological Glycogen Storage Disease
神经糖原累积病的无创成像
  • 批准号:
    10419023
  • 财政年份:
    2022
  • 资助金额:
    $ 20.2万
  • 项目类别:
Non-Invasive Imaging of Neurological Glycogen Storage Disease
神经糖原累积病的无创成像
  • 批准号:
    10598109
  • 财政年份:
    2022
  • 资助金额:
    $ 20.2万
  • 项目类别:
Sensitivity enhanced MRI imaging of receptor binding in breast cancer
乳腺癌受体结合的灵敏度增强 MRI 成像
  • 批准号:
    9750746
  • 财政年份:
    2018
  • 资助金额:
    $ 20.2万
  • 项目类别:

相似海外基金

Construction of affinity sensors using high-speed oscillation of nanomaterials
利用纳米材料高速振荡构建亲和传感器
  • 批准号:
    23H01982
  • 财政年份:
    2023
  • 资助金额:
    $ 20.2万
  • 项目类别:
    Grant-in-Aid for Scientific Research (B)
Affinity evaluation for development of polymer nanocomposites with high thermal conductivity and interfacial molecular design
高导热率聚合物纳米复合材料开发和界面分子设计的亲和力评估
  • 批准号:
    23KJ0116
  • 财政年份:
    2023
  • 资助金额:
    $ 20.2万
  • 项目类别:
    Grant-in-Aid for JSPS Fellows
Development of High-Affinity and Selective Ligands as a Pharmacological Tool for the Dopamine D4 Receptor (D4R) Subtype Variants
开发高亲和力和选择性配体作为多巴胺 D4 受体 (D4R) 亚型变体的药理学工具
  • 批准号:
    10682794
  • 财政年份:
    2023
  • 资助金额:
    $ 20.2万
  • 项目类别:
Platform for the High Throughput Generation and Validation of Affinity Reagents
用于高通量生成和亲和试剂验证的平台
  • 批准号:
    10598276
  • 财政年份:
    2023
  • 资助金额:
    $ 20.2万
  • 项目类别:
Collaborative Research: DESIGN: Co-creation of affinity groups to facilitate diverse & inclusive ornithological societies
合作研究:设计:共同创建亲和团体以促进多元化
  • 批准号:
    2233343
  • 财政年份:
    2023
  • 资助金额:
    $ 20.2万
  • 项目类别:
    Standard Grant
Collaborative Research: DESIGN: Co-creation of affinity groups to facilitate diverse & inclusive ornithological societies
合作研究:设计:共同创建亲和团体以促进多元化
  • 批准号:
    2233342
  • 财政年份:
    2023
  • 资助金额:
    $ 20.2万
  • 项目类别:
    Standard Grant
Molecular mechanisms underlying high-affinity and isotype switched antibody responses
高亲和力和同种型转换抗体反应的分子机制
  • 批准号:
    479363
  • 财政年份:
    2023
  • 资助金额:
    $ 20.2万
  • 项目类别:
    Operating Grants
Deconstructed T cell antigen recognition: Separation of affinity from bond lifetime
解构 T 细胞抗原识别:亲和力与键寿命的分离
  • 批准号:
    10681989
  • 财政年份:
    2023
  • 资助金额:
    $ 20.2万
  • 项目类别:
CAREER: Engineered Affinity-Based Biomaterials for Harnessing the Stem Cell Secretome
职业:基于亲和力的工程生物材料用于利用干细胞分泌组
  • 批准号:
    2237240
  • 财政年份:
    2023
  • 资助金额:
    $ 20.2万
  • 项目类别:
    Continuing Grant
ADVANCE Partnership: Leveraging Intersectionality and Engineering Affinity groups in Industrial Engineering and Operations Research (LINEAGE)
ADVANCE 合作伙伴关系:利用工业工程和运筹学 (LINEAGE) 领域的交叉性和工程亲和力团体
  • 批准号:
    2305592
  • 财政年份:
    2023
  • 资助金额:
    $ 20.2万
  • 项目类别:
    Continuing Grant
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了