Quantitative molecular and cellular MRI of hepatocyte transplantation

肝细胞移植的定量分子和细胞MRI

• 批准号: 9147584
• 负责人: Erik Shapiro
• 金额: $ 49.76万
• 依托单位: MICHIGAN STATE UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-09-23 至 2019-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9147584
• 关键词: Age; Algorithms; Animal Model; Biology; Biopsy; Blood; Cell Count; Cell Line; Cell Transplantation; Cell Transplants; Cells; Clinical; Clinical Trials; Collaborations; Computer Vision Systems; Contrast Media; Coupled; Data; Data Analyses; Dependence; Detection; Development; Disease model; Engraftment; FDA approved; Family suidae; Flow Cytometry; Future; Germ Cells; Health; Hepatocyte; Hepatocyte transplantation; Histology; Human; Image; Image Analysis; Individual; Iron; Label; Liver; Liver Failure; Liver diseases; Machine Learning; Magnetic Resonance Imaging; Malignant neoplasm of liver; Maps; Measurement; Measures; Methodology; Methods; Modeling; Molecular; Monitor; Mus; Organ Donor; Outcome; Patients; Pattern Recognition; Physicians; Protocols documentation; Regenerative Medicine; Regimen; Research; Research Personnel; Resolution; Scheme; Spatial Distribution; Spottings; Staging; Stem cells; System; Testing; Time; Tissues; Translations; Transplantation; Weight; Wit; Work; Xenograft procedure; base; design; effective therapy; embryonic stem cell; hepatocyte engraftment; improved; innovation; interdisciplinary approach; islet; liver transplantation; molecular imaging; mouse model; novel; pre-clinical research; research study; success; tool; uptake

 DESCRIPTION (provided by applicant): For many severe liver diseases, the only effective treatment is liver transplantation. Unfortunately, due to the shortage of available donor organs, or the patient's age, liver transplantation is not available to all patients. Hepatocyte transplantation (HTx) is an alternative, experimental treatment, with limited long term success in humans. A major unsolved question is how can we dynamically monitor and quantify cell transplantation in HTx to help improve HTx and to closely monitor clinical implementation? To answer this question, we combine an innovative molecular and cellular MRI approach, with machine learning and computer vision, to non-invasively quantify cell engraftment and long term engraftment and repopulation (LTER) in the liver following HTx. Using a mouse model that facilitates LTER following HTx, we will use this combined approach to quantify transplanted cells in the liver at Days 1 and 7 after HTx, reflecting the timings of initial cell delivery (Day 1) and actual cellular engraftment in the tissue (Day 7). Then, we will measure LTER of these cells in the liver 30 - 90 days post-transplant, making innovative use of Eovist, an FDA approved MRI contrast agent specific for healthy hepatocytes. These experiments will evaluate mouse donor cells, as well as pig primary hepatocytes and pig embryonic stem cell-derived hepatocyte cell line. This transformative work will be the first study to achieve this level of quantification wit molecular and cellular MRI of regenerative medicine, in any animal model. Additionally, we will test pattern recognition algorithms aimed at predicting the outcome of LTER, at an early stage. The capability to predict LTER outcome would be paradigm shifting as it would enable physicians to consider additional HTx regimens or second line treatments if HTx fails. This is seldom possible. Though this project will be developed on mice, clinical translation of the imaging protocol would be straightforward because the exact imaging and data analysis scheme that we use to measure HTx in mouse, can be used to measure HTx in humans. Eovist is FDA approved for use in humans with liver disease, and MRI-based cell tracking of iron labeled cells is in clinical trials. Our preliminary data strongly suggests that MRI and data analysis can discriminate single cells at 200 µm resolution, meaning the MRI could likely be performed on any high field human MRI system. Additionally, the discovery that a stem cell-derived hepatocyte achieved even partial LTER would be extremely encouraging for exploring human and/or pig stem cell-derived hepatocytes for human use, because these cells can potentially alleviate the crucial issue of poor cell supply, similar to progress seen in pig islet transplant. The proposed research takes a multidisciplinary approach with expertise in hepatocyte transplant and biology, molecular imaging, machine learning/computer vision, and mouse liver disease models. Collaboration among the researchers is ongoing with extensive preliminary data across all aspects of the proposed work.

 描述（由适用提供）：对于许多严重的肝病，唯一有效的治疗方法是肝移植。不幸的是，由于可用的供体器官或患者的年龄短缺，所有患者均未获得肝移植。肝细胞移植（HTX）是一种替代的实验治疗方法，在人类中长期成功。一个未解决的主要问题是，我们如何能够动态监测和量化HTX中的细胞移植以帮助改善HTX并密切监测临床实施？为了回答这个问题，我们将创新的分子和细胞MRI方法与机器学习和计算机视觉结合在一起，与HTX后肝脏中的肝脏中无创量化细胞的植入以及长期植入和重生（LTER）。使用htx之后促进lter的小鼠模型，我们将使用这种组合方法在HTX后第1和第7天定量肝脏中的移植细胞，反映了初始细胞递送的时机（第1天）和 组织中的实际细胞植入（第7天）。然后，我们将在移植后30-90天内测量这些细胞的一小部分，从而创新使用EOVIST，这是FDA批准的MRI对比剂，特异于健康的肝细胞。这些实验将评估小鼠供体细胞，以及猪原发性肝细胞和猪胚胎干细胞衍生的肝细胞细胞系。在任何动物模型中，这项变革性的工作将是第一个实现再生医学分子和细胞MRI的定量水平的研究。此外，我们将测试旨在在早期阶段预测lter结果的模式识别算法。预测效果结果的能力将是范式转移，因为如果HTX失败，医生可以考虑其他HTX方案或第二行处理。这很少可能。尽管该项目将是EOVIST被FDA批准用于患有肝病的人，并且在临床试验中，基于MRI的基于MRI的细胞跟踪。我们的初步数据强烈表明，MRI和数据分析可以以200 µM分辨率区分单个细胞，这意味着MRI可能可以在任何高场MRI系统上进行。此外，发现干细胞衍生的肝细胞甚至部分滴球的发现对于探索人类和/或猪干细胞衍生的肝细胞供人使用而言非常令人鼓舞，因为这些细胞可能会缓解与猪胰岛移植中所见的至关重要的细胞供应问题，类似于猪胰岛所见。 拟议的研究采用了多学科方法，具有肝细胞移植和生物学，分子成像，机器学习/计算机视觉和小鼠肝病模型的专业知识。研究人员之间的合作正在进行中，涉及拟议工作的各个方面的广泛初步数据。