Heliyon
Volume 8, Issue 2, February 2022, e08864
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Research article
SARS-CoV-2 in Egypt: epidemiology, clinical characterization and bioinformatics analysis

https://doi.org/10.1016/j.heliyon.2022.e08864Get rights and content
Under a Creative Commons license
open access

Highlights

  • Isolation and clinical characterization of SARS-CoV-2 from Egyptian patients.

  • Whole Genome Sequencing of recovered isolates revealed unique sequences.

  • Egyptian SARS-CoV-2 variants in 2020 with at least 99% identity to Wuhan-Hu-1.

  • Egyptian SARS-CoV-2 variants were GH clade and L.GP.YP.HT haplotype.

  • A unique mutation (D614G/Q57H/V5F/G823S) pattern was predominant among SARS-CoV-2.

Abstract

COVID-19 is an infectious disease caused by SARS-CoV-2 and has spread globally, resulting in the ongoing coronavirus pandemic. The current study aimed to analyze the clinical and epidemiological features of COVID-19 in Egypt. Oropharyngeal swabs were collected from 197 suspected patients who were admitted to the Army Hospital and confirmation of the positivity was performed by rRT-PCR assay. Whole genomic sequencing was conducted using Illumina iSeq 100® System. The average age of the participants was 48 years, of which 132 (67%) were male. The main clinical symptoms were pneumonia (98%), fever (92%), and dry cough (66%). The results of the laboratory showed that lymphocytopenia (79.2%), decreased levels of haemoglobin (77.7%), increased levels of interleukin 6, C-reactive protein, serum ferritin, and D-dimer (77.2%, 55.3%, 55.3%, and 25.9%, respectively), and leukocytopenia (25.9%) were more common. The CT findings showed that scattered opacities (55.8%) and ground-glass appearance (27.9%) were frequently reported. The recovered validated sequences (n = 144) were submitted to NCBI Virus GenBank. All sequenced viruses have at least 99% identity to Wuhan-Hu-1. All variants were GH clade, B.1 PANGO lineage, and L.GP.YP.HT haplotype. The most predominant subclade was D614G/Q57H/V5F/G823S. Our findings have aided in a deep understanding of COVID-19 evolution and identifying strains with unique mutational patterns in Egypt.

Keywords

COVID-19
rRT-PCR
Clinical data
Whole genome sequencing
Haplotypes

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