Uncovering the morphological differences between SARS-CoV-2 and SARS-CoV based on transmission electron microscopy images

被引:14
作者
Taha, Bakr Ahmed [1 ]
Al Mashhadany, Yousif [2 ]
Al-Jubouri, Qussay [3 ]
Haider, Adawiya J. [4 ]
Chaudhary, Vishal [5 ]
Apsari, Retna [6 ]
Arsad, Norhana [1 ]
机构
[1] Univ Kebangsaan Malaysia, Fac Engn & Built Environm, Dept Elect Elect & Syst Engn, Ukm Bangi 43600, Malaysia
[2] Univ Anbar, Coll Engn, Dept Elect Engn, Anbar 00964, Iraq
[3] Univ Technol Baghdad, Dept Commun Engn, Baghdad, Iraq
[4] Univ Technol Iraq, Appl Sci Dept, Laser Sci & Technol Branch, Baghdad, Iraq
[5] Univ Delhi, Bhagini Nivedita Coll, Res Cell & Dept Phys, New Delhi 110045, India
[6] Univ Airlangga, Fac Adv Technol & Multidiscipline, Surabaya, Indonesia
关键词
SARS-CoV-2; SARS-CoV; TEM images; Morphology; Viral structure; Disease progression; CORONAVIRUS; IDENTIFICATION; ARCHITECTURE; MECHANISMS;
D O I
10.1016/j.micinf.2023.105187
中图分类号
R392 [医学免疫学]; Q939.91 [免疫学];
学科分类号
100102 ;
摘要
Comprehending the morphological disparities between SARS-CoV-2 and SARS-CoV viruses can shed light on the underlying mechanisms of infection and facilitate the development of effective diagnostic tools and treatments. Hence, this study aimed to conduct a comprehensive analysis and comparative assessment of the morphology of SARS-CoV-2 and SARS-CoV using transmission electron microscopy (TEM) images. The dataset encompassed 519 isolated SARS-CoV-2 images obtained from patients in Italy (INMI) and 248 isolated SARS-CoV images from patients in Germany (Frankfurt). In this paper, we employed TEM images to scrutinize morphological features, and the outcomes were contrasted with those of SARS-CoV viruses. The findings reveal disparities in the characteristics of SARS-CoV-2 and SARS-CoV, such as envelope protein (E) 98.6 and 102.2 nm, length of spike protein (S) 10.11 and 9.50 nm, roundness 0.86 and 0.88, circularity 0.78 and 0.76, and area sizes 25145.54 and 38591.35 pixels, respectively. In conclusion, these results will augment the identification of virus subtypes, aid in the study of antiviral medications, and enhance our understanding of disease progression and the virus life cycle. Moreover, these findings have the potential to assist in the development of more accurate epidemiological prediction models for COVID-19, leading to better outbreak management and saving lives.(c) 2023 Institut Pasteur. Published by Elsevier Masson SAS. All rights reserved.
引用
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页数:10
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