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    Within-Host Diversity of SARS-CoV-2 in COVID-19 Patients With Variable Disease Severities.

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    Khatib_et_al-2020-Frontiers_in_Cellular_and_Infection_Microbiology.pdf (1.917Mb)
    Date
    2020-10-06
    Author
    Al Khatib, Hebah A
    Benslimane, Fatiha M
    Elbashir, Israa E
    Coyle, Peter V
    Al Maslamani, Muna A
    Al-Khal, Abdullatif
    Al Thani, Asmaa A
    Yassine, Hadi M
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    Abstract
    The ongoing pandemic of SARS-COV-2 has already infected more than eight million people worldwide. The majority of COVID-19 patients either are asymptomatic or have mild symptoms. Yet, about 15% of the cases experience severe complications and require intensive care. Factors determining disease severity are not yet fully characterized. Here, we investigated the within-host virus diversity in COVID-19 patients with different clinical manifestations. We compared SARS-COV-2 genetic diversity in 19 mild and 27 severe cases. Viral RNA was extracted from nasopharyngeal samples and sequenced using the Illumina MiSeq platform. This was followed by deep-sequencing analyses of SARS-CoV-2 genomes at both consensus and sub-consensus sequence levels. Consensus sequences of all viruses were very similar, showing more than 99.8% sequence identity regardless of the disease severity. However, the sub-consensus analysis revealed significant differences in within-host diversity between mild and severe cases. Patients with severe symptoms exhibited a significantly (-value 0.001) higher number of variants in coding and non-coding regions compared to mild cases. Analysis also revealed higher prevalence of some variants among severe cases. Most importantly, severe cases exhibited significantly higher within-host diversity (mean = 13) compared to mild cases (mean = 6). Further, higher within-host diversity was observed in patients above the age of 60 compared to the younger age group. These observations provided evidence that within-host diversity might play a role in the development of severe disease outcomes in COVID-19 patients; however, further investigations are required to elucidate this association.
    DOI/handle
    http://dx.doi.org/10.3389/fcimb.2020.575613
    http://hdl.handle.net/10576/16956
    Collections
    • Biomedical Research Center Research [‎800‎ items ]
    • COVID-19 Research [‎849‎ items ]

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