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Lower respiratory tract samples are reliable for severe acute respiratory syndrome coronavirus 2 nucleic acid diagnosis and animal model study.

Authors :
Tian RR
Yang CX
Zhang M
Feng XL
Luo RH
Duan ZL
Li JJ
Liu JF
Yu DD
Xu L
Zheng HY
Li MH
Fan HL
Wang JL
Dong XQ
Zheng YT
Source :
Zoological research [Zool Res] 2021 Mar 18; Vol. 42 (2), pp. 161-169.
Publication Year :
2021

Abstract

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and coronavirus disease 2019 (COVID-19) continue to impact countries worldwide. At present, inadequate diagnosis and unreliable evaluation systems hinder the implementation and development of effective prevention and treatment strategies. Here, we conducted a horizontal and longitudinal study comparing the detection rates of SARS-CoV-2 nucleic acid in different types of samples collected from COVID-19 patients and SARS-CoV-2-infected monkeys. We also detected anti-SARS-CoV-2 antibodies in the above clinical and animal model samples to identify a reliable approach for the accurate diagnosis of SARS-CoV-2 infection. Results showed that, regardless of clinical symptoms, the highest detection levels of viral nucleic acid were found in sputum and tracheal brush samples, resulting in a high and stable diagnosis rate. Anti-SARS-CoV-2 immunoglobulin M (IgM) and G (IgG) antibodies were not detected in 6.90% of COVID-19 patients. Furthermore, integration of nucleic acid detection results from the various sample types did not improve the diagnosis rate. Moreover, dynamic changes in SARS-CoV-2 viral load were more obvious in sputum and tracheal brushes than in nasal and throat swabs. Thus, SARS-CoV-2 nucleic acid detection in sputum and tracheal brushes was the least affected by infection route, disease progression, and individual differences. Therefore, SARS-CoV-2 nucleic acid detection using lower respiratory tract samples alone is reliable for COVID-19 diagnosis and study.

Details

Language :
English
ISSN :
2095-8137
Volume :
42
Issue :
2
Database :
MEDLINE
Journal :
Zoological research
Publication Type :
Academic Journal
Accession number :
33554485
Full Text :
https://doi.org/10.24272/j.issn.2095-8137.2020.329