Modeling respiratory tract diseases for clinical translation employing conditionally reprogrammed cells

Danyal Daneshdoust , Kai He , Qi-En Wang , Jenny Li , Xuefeng Liu
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Abstract

Preclinical models serve as indispensable tools in translational medicine. Specifically, patient-derived models such as patient-derived xenografts (PDX), induced pluripotent stem cells (iPSC), organoids, and recently developed technique of conditional reprogramming (CR) have been employed to reflect the host characteristics of diseases. CR technology involves co-culturing epithelial cells with irradiated Swiss-3T3-J2 mouse fibroblasts (feeder cells) in the presence of a Rho kinase (ROCK) inhibitor, Y-27632. CR technique facilitates the rapid conversion of both normal and malignant cells into a “reprogrammed stem-like” state, marked by robust in vitro proliferation. This is achieved without reliance on exogenous gene expression or viral transfection, while maintaining the genetic profile of the parental cells. So far, CR technology has been used to study biology of diseases, targeted therapies (precision medicine), regenerative medicine, and noninvasive diagnosis and surveillance. Respiratory diseases, ranking as the third leading cause of global mortality, pose a significant burden to healthcare systems worldwide. Given the substantial mortality and morbidity rates of respiratory diseases, efficient and rapid preclinical models are imperative to accurately recapitulate the diverse spectrum of respiratory conditions. In this article, we discuss the applications and future potential of CR technology in modeling various respiratory tract diseases, including lung cancer, respiratory viral infections (such as influenza and Covid-19 and etc.), asthma, cystic fibrosis, respiratory papillomatosis, and upper aerodigestive track tumors. Furthermore, we discuss the potential utility of CR in personalized medicine, regenerative medicine, and clinical translation.
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利用条件重编程细胞建立呼吸道疾病模型,促进临床转化
临床前模型是转化医学不可或缺的工具。具体来说,患者衍生模型,如患者衍生异种移植(PDX)、诱导多能干细胞(iPSC)、器官组织以及最近开发的条件重编程(CR)技术,都被用来反映疾病的宿主特征。条件重编程技术包括在Rho激酶(ROCK)抑制剂Y-27632的作用下,将上皮细胞与经过辐照的Swiss-3T3-J2小鼠成纤维细胞(饲养细胞)进行共培养。CR技术有助于将正常细胞和恶性细胞快速转化为 "重编程干样 "状态,其特点是体外增殖强劲。实现这一目标无需依赖外源基因表达或病毒转染,同时还能保持亲代细胞的遗传特征。迄今为止,CR 技术已被用于疾病生物学研究、靶向治疗(精准医疗)、再生医学以及无创诊断和监测。呼吸系统疾病是导致全球死亡的第三大原因,给全球医疗系统造成了沉重负担。鉴于呼吸系统疾病的死亡率和发病率都很高,因此必须建立高效、快速的临床前模型,以准确再现各种呼吸系统疾病。本文将讨论 CR 技术在各种呼吸道疾病建模中的应用和未来潜力,包括肺癌、呼吸道病毒感染(如流感和 Covid-19 等)、哮喘、囊性纤维化、呼吸道乳头状瘤病和上消化道肿瘤。此外,我们还讨论了 CR 在个性化医学、再生医学和临床转化方面的潜在用途。
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来源期刊
Cell insight
Cell insight Neuroscience (General), Biochemistry, Genetics and Molecular Biology (General), Cancer Research, Cell Biology
CiteScore
2.70
自引率
0.00%
发文量
0
审稿时长
35 days
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