Driver Genes for Engineered Rotator Cuff Development

工程化肩袖发育的驱动基因

基本信息

批准号：
10594580
负责人：
Dianne Little
金额：
$ 49.17万
依托单位：
PURDUE UNIVERSITY
依托单位国家：
美国
项目类别：
财政年份：
2019
资助国家：
美国
起止时间：
2019-03-15 至 2025-01-31
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/10594580
关键词：
Adipose tissue Adult Affect Allogenic American Anatomy Anterior Area Autologous Biochemical Biocompatible Materials Bioinformatics Biological Assay Biological Markers Biomechanics Cadaver Cells Cicatrix Clinical Communities Complex Computational Technique Cues DNA Data Data Set Development Devices Engineered Gene Engineering Evaluation Extracellular Matrix Fibroblasts Fibrosis Genes Genetic Harvest Head Heterogeneity Human Impairment In Vitro Injury Investigation Joint structure of shoulder region Knowledge Machine Learning Measures Mechanical Stimulation Mechanics Medial Medical Mesenchymal Stem Cells Metabolism Methylation Modeling Modification Molecular Musculoskeletal Natural regeneration Operative Surgical Procedures Orthopedics Outcome Phenotype Population Process Property Proteins Proteome RNA Regenerative Medicine Research Resources Rotator Cuff Techniques Tendon structure Testing Tissue Engineering Tissues Translating Translations Work adipose derived stem cell data integration design epigenome improved innovation interest joint biomechanics joint function lipidome mechanical load mechanical properties metabolome methylome multiple omics overexpression patient population phenome phenomics preclinical study regenerative repaired response rotator cuff tear scaffold spatial relationship supraspinatus muscle tendon development therapeutic target transcriptome translation to humans

项目摘要

Rotator cuff tears affect over 15% of Americans and impair shoulder joint biomechanics and function. Following repair of symptomatic tears, functional deficits frequently persist and re-tears are common, due to the complex anatomy and high functional demands on the rotator cuff tendons. Rotator cuff tendon tissue engineering research is focused on devices to improve immediate mechanical support to the repair and to stimulate early and rapid tendon regeneration rather than scarring and fibrosis, particularly for the supraspinatus tendon (SST), the most commonly torn tendon in the rotator cuff. Aligned electrospun scaffolds that mimic both the highly aligned medial region of the SST, and bi-axially aligned electrospun scaffolds that mimic the multi-axially aligned isotropic anterior region of the SST have been evaluated with promising results when seeded with adipose- derived stem cells (ASCs). However, progress in this area of rotator cuff tendon engineering and in other areas of tendon research is hindered by the lack of definitive markers for SST or for its regional heterogeneity, the lack of understanding to what extent ASCs are tenogenic and can assume the identity of tendon fibroblasts, the lack of specific markers for tendon fibroblast identity and tenogenic differentiation, and by a lack of markers for tendon maturation and response to mechanical loading in engineered tendon. Therefore, is it difficult to assess how successful current tendon tissue engineering approaches really are, or to predict how well tendon tissue engineered approaches will function in translation when autologous or allogeneic ASCs from diverse human populations are used to enhance rotator cuff repair via augmentation or interposition with engineered tendon devices. These studies will evaluate the epigenome (methylome), transcriptome, proteome, lipidome, metabolome and phenome (phenotype) of native human SST and donor-matched tissue engineered tendon produced from SST fibroblasts and ASCs. Bioinformatics approaches will be used to integrate the data to an integrated multiome, which will then be used with machine learning approaches to extract key causal ‘driver’ genes, or tendon specific genes or molecules responsible for: 1) SST heterogeneity between medial and anterior regions. 2) Tendon cell identity and the extent of tenogenesis by ASCs on electrospun scaffolds. 3) The heterogenetic response by ASCs on uni- vs. bi-axially aligned electrospun scaffolds that mimic the native heterogeneity of the SST. 4) The response of engineered tendon to dynamic loading. Identified driver genes or molecules will be validated though over-expression or silencing approaches, thus providing therapeutic targets for manipulation to enhance tenogenesis, and engineered tendon development and maturation. Together these innovative studies will provide a template for improved external validity of benchtop tendon tissue engineering and pre-clinical studies towards successful translation in diverse patient populations. In addition, the bioinformatics and multiomics toolboxes and assays that result from this work will be invaluable to not only the tendon research community, but also to the wider musculoskeletal and regenerative medicine fields.

肩袖撕裂影响超过 15% 的美国人，并损害肩关节的生物力学和功能。由于复杂的原因，症状性眼泪的修复、功能缺陷经常持续存在并且再次流泪很常见对肩袖肌腱的解剖学和高功能要求肩袖肌腱组织工程。研究重点是改善对修复的直接机械支持并刺激早期修复的装置和快速肌腱再生而不是疤痕和纤维化，特别是冈上肌腱（SST），肩袖中最常见的撕裂肌腱，模仿了高度模仿的电纺支架。 SST 的对齐内侧区域，以及模仿多轴对齐的双轴对齐电纺支架当接种脂肪时，SST 的各向同性前部区域已得到评估，并取得了有希望的结果然而，肩袖肌腱工程这一领域和其他领域的进展。由于缺乏 SST 的明确标记或其区域异质性，肌腱研究的进展受到阻碍。理解 ASC 在多大程度上是肌腱发生的并且可以呈现肌腱成纤维细胞的身份，缺乏肌腱成纤维细胞身份和肌腱分化的特异性标记物，以及肌腱标记物的缺乏因此，很难评估工程肌腱的成熟度和对机械负荷的反应。目前的肌腱组织工程方法确实很成功，或者可以预测肌腱组织的状况当来自不同人类的自体或同种异体 ASC 时，工程化方法将在翻译中发挥作用通过增强或插入工程肌腱来增强肩袖修复这些研究将评估表观基因组（甲基组）、转录组、蛋白质组、脂质组、天然人类 SST 和供体匹配的组织工程肌腱的代谢组和表型（表型）由 SST 成纤维细胞和 ASC 产生的数据将用于将数据整合到一个模型中。集成的多组学，然后将其与机器学习方法一起使用，以提取关键的因果“驱动因素” 基因、或肌腱特异性基因或分子负责：1) 内侧和前侧之间的 SST 异质性 2) 肌腱细胞身份和 ASC 在电纺支架上的肌腱形成程度。 ASC 对单轴与双轴排列的模仿天然的电纺支架的异质反应 SST 的异质性 4) 工程肌腱对动态负载的响应。分子将通过过度表达或沉默方法进行验证，从而提供治疗靶点用于增强肌腱形成的操作，以及工程肌腱的发育和成熟。创新研究将为提高台式肌腱组织工程的外部有效性提供模板以及在不同患者群体中成功转化的临床前研究。这项工作产生的生物信息学和多组学工具箱和分析方法不仅对于肌腱研究界，还扩展到更广泛的肌肉骨骼和再生医学领域。