A Model for Human Liver Fibrosis
人类肝纤维化模型
基本信息
- 批准号:10685178
- 负责人:
- 金额:$ 77.23万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2022
- 资助国家:美国
- 起止时间:2022-09-01 至 2024-08-31
- 项目状态:已结题
- 来源:
- 关键词:AddressAdhesivesAdultAnimalsAppearanceAutosomal Recessive Polycystic KidneyBiochemicalCause of DeathCellsChemicalsCirrhosisCollagenCollagen FiberCuesCytometryDataDevelopmentDiseaseDrug CombinationsEngineeringEtiologyEvaluationExtracellular MatrixFDA approvedFibrosisGenesGeneticGenetic DiseasesGenomicsHepaticHumanJoubert syndromeLigandsLiverLiver FibrosisLiver diseasesMechanicsMediatingMethodsMicroscopyModelingMonitorMutationMyofibroblastNonesterified Fatty AcidsOrganoidsOutcomePathogenesisPathologicPathway interactionsPatientsPharmaceutical PreparationsProductionPropertyResearchSchemeSynthesis ChemistrySystemTestingTherapeuticThickTimeTissuesViralantifibrotic treatmentbasecausal variantcell typechronic liver diseasechronic liver injurydrug candidatehigh dimensionalityhuman stem cellsimaging modalityinduced pluripotent stem cellinsightlive cell imagingmetabolomicsnonalcoholic steatohepatitisnovelnovel therapeuticsresponsesingle-cell RNA sequencingtranscriptomicsviscoelasticity
项目摘要
Abstract
Liver fibrosis is a pathological condition that results from extracellular matrix (ECM) accumulation in response to
chronic liver injury and is a major global cause of death in adults (~1M per year) due to inadequate therapeutic
options. To address this limitation, we have developed human hepatic organoid models that enable hypothesis-
driven, mechanistic evaluation of novel drug candidates for treatment of liver fibrosis. One model is produced by
engineering iPSC to express a common causative mutation for Autosomal Recessive Polycystic Kidney Disease
(ARPKD). ARPKD organoids develop the key hallmarks of hepatic fibrosis: they accumulate thick collagen fibers;
and have a marked increase in collagen-producing myofibroblasts whose transcriptomic profile is like those
present in liver tissues obtained from patients with commonly occurring (acquired) forms of liver fibrosis (viral-
induced cirrhosis and advanced non-alcoholic steatohepatitis, NASH). We also developed a NASH organoid
fibrosis model; along with two live cell imaging methods for monitoring for the appearance of collagen fibers and
collagen producing cells. We hypothesize that since the fibrosis that develops in this human, multi-lineage,
hepatic organoid resembles that in patients with congenital and acquired forms of liver fibrosis, it can be used to
advance liver fibrosis research and to discover and characterize anti-fibrotic therapies. In Aim 1, ARPKD and
NASH organoids are used to develop a novel platform for assessing the anti-fibrotic efficacy of 10 agents whose
mechanism of action is relevant to liver fibrosis, and to identify drug combinations with increased anti-fibrotic
efficacy. Since nine are FDA-approved drugs, but none are currently used to treat liver fibrosis, these studies
could have significant translational importance. In Aim 2, these models evaluate the fibrogenic effect of ECM
cues using a novel, fully chemically defined, biosynthetic matrix. ECM changes are widely thought to promote
fibrotic remodeling. A novel, synthetic chemistry scheme enables tuning of the key mechanical (stiffness,
viscoelasticity) and biochemical (cell-adhesive ligand identity) matrix properties. ARPKD and NASH organoids
grown in synthetic matrices will enable us to examine the effects that matrix cues have on fibrosis, and this
analysis includes single cell RNA sequencing (scRNA-Seq). In Aim 3, to identify common pathogenetic drivers
that are shared among congenital and acquired forms of liver fibrosis, we extend our modeling approach to
generate and characterize organoid models for Joubert Syndrome Related Disorder (JSRD), which is a multi-
system genetic disease that causes liver fibrosis in some cases, and we characterize a unique NASH organoid
model. JSRD liver disease cannot be modeled in animals. JSRD and NASH organoids and isogenic controls will
be analyzed using scRNA-Seq, high-dimensional time of flight mass cytometry (CyTOF) and two semi-targeted
metabolomic methods. JSRD organoids will also be used to test the anti-fibrotic effects of 10 drugs (Aim 1) and
for characterizing ECM effects on fibrosis (Aim 2). This data will provide important information about shared
mechanisms that mediate liver fibrosis of different etiologies.
抽象的
肝纤维化是一种病理状况,是由于细胞外基质(ECM)积聚而引起的
慢性肝损伤是全球成人死亡的一个主要原因(每年约 100 万人),原因是治疗不充分
选项。为了解决这一局限性,我们开发了人类肝脏类器官模型,该模型可以实现以下假设:
对治疗肝纤维化的新候选药物进行驱动的机制评估。一种型号是由
改造 iPSC 表达常染色体隐性多囊肾病的常见致病突变
(ARPKD)。 ARPKD 类器官形成肝纤维化的关键特征:它们积累厚的胶原纤维;
并且产生胶原蛋白的肌成纤维细胞显着增加,其转录组谱如下
存在于从患有常见(获得性)肝纤维化(病毒性)的患者获得的肝组织中
诱发性肝硬化和晚期非酒精性脂肪性肝炎 (NASH)。我们还开发了 NASH 类器官
纤维化模型;以及两种用于监测胶原纤维外观的活细胞成像方法和
产生胶原蛋白的细胞。我们假设,由于人类多谱系中出现纤维化,
肝类器官类似于先天性和后天性肝纤维化患者的肝类器官,可用于
推进肝纤维化研究并发现和表征抗纤维化疗法。在目标 1 中,ARPKD 和
NASH 类器官用于开发一个新平台,用于评估 10 种药物的抗纤维化功效,这些药物的抗纤维化功效
作用机制与肝纤维化相关,并确定具有增强抗纤维化作用的药物组合
功效。由于九种药物是 FDA 批准的药物,但目前没有一种用于治疗肝纤维化,这些研究
可能具有重大的翻译重要性。在目标 2 中,这些模型评估了 ECM 的纤维化作用
使用一种新颖的、完全化学定义的生物合成基质来提供线索。人们普遍认为 ECM 的变化可以促进
纤维化重塑。一种新颖的合成化学方案能够调整关键机械(刚度、
粘弹性)和生化(细胞粘附配体特性)基质特性。 ARPKD 和 NASH 类器官
在合成基质中生长将使我们能够检查基质线索对纤维化的影响,这
分析包括单细胞 RNA 测序 (scRNA-Seq)。目标 3:确定常见的致病驱动因素
先天性和后天性肝纤维化共有这些特征,我们将建模方法扩展到
生成并表征 Joubert 综合征相关疾病 (JSRD) 的类器官模型,这是一种多
在某些情况下会导致肝纤维化的系统遗传疾病,我们描述了一种独特的 NASH 类器官
模型。 JSRD 肝病无法在动物中建模。 JSRD 和 NASH 类器官和同基因对照将
使用 scRNA-Seq、高维飞行时间质谱流式细胞仪 (CyTOF) 和两种半靶向技术进行分析
代谢组学方法。 JSRD 类器官还将用于测试 10 种药物的抗纤维化作用(目标 1)和
用于表征 ECM 对纤维化的影响(目标 2)。该数据将提供有关共享的重要信息
介导不同病因的肝纤维化的机制。
项目成果
期刊论文数量(0)
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GARY A PELTZ其他文献
GARY A PELTZ的其他文献
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{{ truncateString('GARY A PELTZ', 18)}}的其他基金
Computational Methods for Identification of Genetic Factors Affecting the Response to Drug Abuse
识别影响药物滥用反应的遗传因素的计算方法
- 批准号:
10198889 - 财政年份:2017
- 资助金额:
$ 77.23万 - 项目类别:
Computational Methods for Identification of Genetic Factors Affecting the Response to Drug Abuse
识别影响药物滥用反应的遗传因素的计算方法
- 批准号:
9926473 - 财政年份:2017
- 资助金额:
$ 77.23万 - 项目类别:
Computational Methods for Identification of Genetic Factors Affecting the Response to Drug Abuse
识别影响药物滥用反应的遗传因素的计算方法
- 批准号:
10515960 - 财政年份:2017
- 资助金额:
$ 77.23万 - 项目类别:
Computational Methods for Identification of Genetic Factors Affecting the Response to Drug Abuse
识别影响药物滥用反应的遗传因素的计算方法
- 批准号:
10515960 - 财政年份:2017
- 资助金额:
$ 77.23万 - 项目类别:
Computational Methods for Identification of Genetic Factors Affecting the Response to Drug Abuse
识别影响药物滥用反应的遗传因素的计算方法
- 批准号:
10406825 - 财政年份:2017
- 资助金额:
$ 77.23万 - 项目类别:
Computational Methods for Identification of Genetic Factors Affecting the Response to Drug Abuse
识别影响药物滥用反应的遗传因素的计算方法
- 批准号:
10075085 - 财政年份:2017
- 资助金额:
$ 77.23万 - 项目类别:
Stem Cell-Based In vivo Models of Human Genetic Liver Diseases
基于干细胞的人类遗传性肝病体内模型
- 批准号:
8812710 - 财政年份:2015
- 资助金额:
$ 77.23万 - 项目类别:
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