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A systematic review on thyroid organoid models: time-trend and its achievements

类有机物 计算生物学 医学 甲状腺 计算机科学 生物 内科学 神经科学
作者
Hilda Samimi,Rasha Atlasi,Somayeh Parichehreh-Dizaji,Samaneh Khazaei,Mahshid Akhavan Rahnama,Soroush Seifirad,Vahid Haghpanah
出处
期刊:American Journal of Physiology-endocrinology and Metabolism [American Physiological Society]
卷期号:320 (3): E581-E590 被引量:14
标识
DOI:10.1152/ajpendo.00479.2020
摘要

Current in vitro models have played important roles in improving knowledge and understanding of cellular and molecular biology, but cannot exactly recapitulate the physiology of human tissues such as thyroid. In this article, we conducted a systematic review to present scientific and methodological time-trends of the reconstruction and generation of 3 D functional thyroid follicles and organoids for thyroid research in health and disease. "Web of Science (ISI)", "Scopus", "Embase", "Cochrane Library", and "PubMed" were systematically searched for papers published since 1950 to May 2020 in English language, using the predefined keywords. 212 articles were reviewed and finally 28 papers that met the inclusion and exclusion criteria were selected. Among the evidence for the examination of 3 D cell culture methods in thyroid research, there were only a few studies related to the organoid technology and its potential applications in understanding morphological, histological, and physiological characteristics of the thyroid gland and reconstructing this tissue. Besides, there was no study using organoids to investigate the tumorigenesis process of thyroid. Based on the results of this study, despite all the limitations and controversies, the exciting and promising organoid technology offers researchers a wide range of potential applications for more accurate modeling of thyroid in health and diseases and provides an excellent preclinical in vitro platform. In future, organoid technology can provide a better understanding of the molecular mechanisms of pathogenesis and tumorigenesis of thyroid tissue and more effective treatment for related disorders due to more accurate simulation of the thyroid physiology.
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