期刊论文详细信息
Virology Journal
Insights into organoid-based modeling of COVID-19 pathology
Review
Tariq Al Jabry1  Halima Albalushi2  Mohadese Hashem Boroojerdi2  Seyed Mohamad Javad Mirarefin3 
[1] Department of Genetics, College of Medicine and Health Sciences, Sultan Qaboos University, Muscat, Oman;Department of Human and Clinical Anatomy, College of Medicine and Health Sciences, Sultan Qaboos University, Muscat, Oman;Department of Immunology, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran;
关键词: COVID-19;    SARS-CoV-2;    Organoid;    Stem cell;    Regenerative medicine;   
DOI  :  10.1186/s12985-023-01996-2
 received in 2022-08-07, accepted in 2023-02-20,  发布年份 2023
来源: Springer
PDF
【 摘 要 】

Since December 2019, various types of strategies have been applied due to the emergent need to investigate the biology and pathogenesis of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) to discover a functional treatment. Different disease modeling systems, such as mini-organ technology, have been used to improve our understanding of SARS-CoV-2 physiology and pathology. During the past 2 years, regenerative medicine research has shown the supportive role of organoid modeling in controlling coronavirus disease 2019 (COVID-19) through optimal drug and therapeutic approach improvement. Here, we overview some efforts that have been made to study SARS-CoV-2 by mimicking COVID-19 using stem cells. In addition, we summarize a perspective of drug development in COVID-19 treatment via organoid-based studies.

【 授权许可】

CC BY   
© The Author(s) 2023

【 预 览 】
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Fig. 3 244KB Image download
MediaObjects/40249_2023_1065_MOESM2_ESM.docx 15KB Other download
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Fig. 3

【 参考文献 】
  • [1]
  • [2]
  • [3]
  • [4]
  • [5]
  • [6]
  • [7]
  • [8]
  • [9]
  • [10]
  • [11]
  • [12]
  • [13]
  • [14]
  • [15]
  • [16]
  • [17]
  • [18]
  • [19]
  • [20]
  • [21]
  • [22]
  • [23]
  • [24]
  • [25]
  • [26]
  • [27]
  • [28]
  • [29]
  • [30]
  • [31]
  • [32]
  • [33]
  • [34]
  • [35]
  • [36]
  • [37]
  • [38]
  • [39]
  • [40]
  • [41]
  • [42]
  • [43]
  • [44]
  • [45]
  • [46]
  • [47]
  • [48]
  • [49]
  • [50]
  • [51]
  • [52]
  • [53]
  • [54]
  • [55]
  • [56]
  • [57]
  • [58]
  • [59]
  • [60]
  • [61]
  • [62]
  • [63]
  • [64]
  • [65]
  • [66]
  • [67]
  • [68]
  • [69]
  • [70]
  • [71]
  • [72]
  • [73]
  • [74]
  • [75]
  • [76]
  • [77]
  • [78]
  • [79]
  • [80]
  • [81]
  • [82]
  • [83]
  • [84]
  • [85]
  • [86]
  • [87]
  • [88]
  • [89]
  • [90]
  • [91]
  • [92]
  • [93]
  • [94]
  • [95]
  • [96]
  • [97]
  • [98]
  • [99]
  • [100]
  • [101]
  • [102]
  • [103]
  • [104]
  • [105]
  • [106]
  • [107]
  • [108]
  • [109]
  • [110]
  • [111]
  • [112]
  • [113]
  • [114]
  • [115]
  • [116]
  • [117]
  • [118]
  • [119]
  • [120]
  • [121]
  • [122]
  • [123]
  • [124]
  • [125]
  • [126]
  • [127]
  • [128]
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