Detection and identification of coronaviruses in human tissues using electron microscopy.
Microsc Res Tech
; 85(7): 2740-2747, 2022 Jul.
Article
em En
| MEDLINE
| ID: mdl-35373872
The identification of viral particles within a tissue specimen requires specific knowledge of viral ultrastructure and replication, as well as a thorough familiarity with normal subcellular organelles. The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic has underscored how challenging the task of identifying coronavirus by electron microscopy (EM) can be. Numerous articles have been published mischaracterizing common subcellular structures, including clathrin- or coatomer- coated vesicles, multivesicular bodies, and rough endoplasmic reticulum, as coronavirus particles in SARS-CoV-2 positive patient tissue specimens. To counter these misinterpretations, we describe the morphological features of coronaviruses that should be used to differentiate coronavirus particles from subcellular structures. Further, as many of the misidentifications of coronavirus particles have stemmed from attempts to attribute tissue damage to direct infection by SARS-CoV-2, we review articles describing ultrastructural changes observed in specimens from SARS-CoV-2-infected individuals that do not necessarily provide EM evidence of direct viral infection. Ultrastructural changes have been observed in respiratory, cardiac, kidney, and intestinal tissues, highlighting the widespread effects that SARS-CoV-2 infection may have on the body, whether through direct viral infection or mediated by SARS-CoV-2 infection-induced inflammatory and immune processes. HIGHLIGHTS: The identification of coronavirus particles in SARS-CoV-2 positive tissues continues to be a challenging task. This review provides examples of coronavirus ultrastructure to aid in the differentiation of the virus from common cellular structures.
Palavras-chave
Texto completo:
1
Bases de dados:
MEDLINE
Assunto principal:
SARS-CoV-2
/
COVID-19
Tipo de estudo:
Diagnostic_studies
Limite:
Humans
Idioma:
En
Revista:
Microsc Res Tech
Assunto da revista:
DIAGNOSTICO POR IMAGEM
Ano de publicação:
2022
Tipo de documento:
Article
País de afiliação:
Estados Unidos