Lower respiratory tract samples are reliable for severe acute respiratory syndrome coronavirus 2 nucleic acid diagnosis and animal model study
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....
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Veröffentlicht in: | Dōngwùxué yánjiū 2021-03, Vol.42 (2), p.161-169 |
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Zusammenfassung: | 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. |
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ISSN: | 2095-8137 0254-5853 |
DOI: | 10.24272/J.ISSN.2095-8137.2020.329 |