Genome sequencing reveals existence of SARS-CoV-2 B.1.1.529 variant in Egypt.

BACKGROUND: Several SARS-CoV-2 variants with increased transmissibility and/or potential immune escape have emerged and rapidly spread worldwide. Ongoing surveillance analyses are performed worldwide to designate new variants of concern (VOC) of coronavirus. MAIN TEXT: This report identifies the first Egyptian patient with a confirmed SARS-CoV-2 omicron variant. The patient showed positivity on reverse transcriptase-polymerase chain reaction and full genome sequencing was performed to confirm the variant. The mutations found in the variant were compared with the GISAID reference strain hCoV-19/Wuhan/WIV04/2019. Genome BLAST showed the highest similarity to omicron variants isolated in South Africa. Phylogenetic analysis revealed that the variant belongs to the 21K clade. CONCLUSIONS: The study indicates the importance of information-sharing among global public health partners. Moreover the importance of implementation of full genome sequencing to rapidly identify and track the new SARS-CoV-2 variants.

Characterization, in-silico, and in-vitro study of a new steroid derivative from Ophiocoma dentata as a potential treatment for COVID-19.

The medicinal potential of marine invertebrates' bioactive components that may act as anti-COVID-19 demonstrated promising results. Ophiocoma dentata, which is common in the Red Sea, is one such source. Therefore, this study aimed to isolate a new compound from the brittle star, Ophiocoma dentata, and evaluate its efficacy as anti-COVID-19 in-silico and in-vitro. Standard procedures were followed in order to assess the isolated compound's preliminary toxicity and anti-inflammatory properties. Computer virtual screening technology through molecular docking and ADMET studies was conducted as well as a new steroid derivative was isolated for the first time, named 5α-cholesta-4(27), 24-dien-3ß, 23 ß-diol. Investigation of the Anti-Covid-19 activity of the isolated compound using a Plaque reduction assay revealed 95% inhibition at a concentration of 5 ng/µl (12.48 µM). Moreover, this compound showed an IC50 of 11,350 ± 1500 ng/ml against the normal fibroblast cells, indicating its safety. Interestingly, this compound exhibited anti-inflammatory activity with an IC50 of 51.92 ± 0.03 µg/ml compared to a reference drug's IC50 of 53.64 ± 0.01 µg/ml, indicating that this compound is a potent anti-inflammatory. In silico data have proved that the isolated compound is a promising viral inhibitor against SARS-CoV2 and is thus recommended as a future nature preventive and curative antiviral drug.

Identification, propagation and molecular characterization of SARS-CoV-2 delta variant isolated from Egyptian COVID-19 patients.

The recently emerging coronavirus, severe acute respiratory syndrome coronavirus 2, (SARS-CoV-2) is the causative agent of the Coronavirus disease 2019 (COVID-19) pandemic. Since its discovery in the city of Wahan, China, SARS-CoV-2 has spread rapidly to invade all countries. In addition to its rapid transmission rate, it is characterized by high genetic mutation rates. The aim of this study is to provide an effective method for the isolation and propagation of SARS-CoV-2 in cell lines without any induction of genetic variations. In this study, we isolated SARS-CoV-2 from oro-nasopharyngeal swabs collected from Egyptian patients who were clinically diagnosed with COVID-19. Molecular identification of SARS-CoV-2 was performed by Real-Time Quantitative Reverse Transcription PCR (RT-qPCR). The isolated virus was propagated on Vero E6 cells without applying serial viral passages to avoid any variation of the viral genome. The replication and propagation were confirmed by the results of both RT-qPCR and the cytopathic effect (CPE). Moreover, SARS-CoV-2 was completely inactivated chemically using beta-propiolactone (ßPL). Whole genome sequencing (WGS) of the propagated virus was performed in order to investigate mutational patterns. The genome sequences recovered in 2020 (n = 18) were similar to the reference strain, Wuhan-Hu-1, and were clustered as clade 20A. However, the genomic sequences recovered in 2021 (n = 2) were clustered as clade 21J. These two sequences are considered the first Delta (B.1.617.2) variants detected in Egypt. This study provides a reference for researchers in Egypt to isolate and propagate SARS-CoV-2 easily and efficiently. Furthermore, the prevalence of the SARS-CoV-2 delta variant in Egypt necessitates continuous monitoring of the efficacy of the applied treatment protocol and the effectiveness of current vaccines against such variants of concern (VOC).

Chemical profiling and unraveling of anti-COVID-19 biomarkers of red sage (Lantana camara L.) cultivars using UPLC-MS/MS coupled to chemometric analysis, in vitro study and molecular docking.

ETHNOPHARMACOLOGICAL RELEVANCE: Red sage (Lantana camara L.) (Verbenaceae) is a widely spread plant that was traditionally used in Brazil, India, Kenya, Thailand, Mexico, Nigeria, Australia and Southeast Asia for treating several ailments including rheumatism and leprosy. Despite its historical role in relieving respiratory diseases, limited studies progressed to the plant's probable inhibition to respiratory viruses especially after the striking spread of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections. AIM OF THE STUDY: This study aimed to investigate the inhibitory activity of different L. camara cultivars to SARS-CoV-2, that was not previously inspected, and clarify their mechanisms of action in the metabolomics viewpoint, and to determine the biomarkers that are related to such activity using UPLC-MS/MS coupled to in vitro-studies and chemometric analysis. MATERIALS AND METHODS: Chemical profiling of different cultivars was accomplished via UPLC-MS/MS. Principle component analysis (PCA) and orthogonal projection to latent structures (OPLS) models were built using SIMCA® (multivariate data analysis software). Cytotoxicity and COVID-19 inhibitory activity testing were done followed by TaqMan Real-time RT-PCR (Reverse transcription polymerase chain reaction) assay that aimed to study extracts' effects on RNA-dependent RNA polymerase (RdRp) and E-genes expression levels. Detected biomarkers from OPLS analysis were docked into potential targets pockets to investigate their possible interaction patterns using Schrodinger® suite. RESULTS: UPLC-MS/MS analysis of different cultivars yielded 47 metabolites, most of them are triterpenoids and flavonoids. PCA plots revealed that inter-cultivar factor has no pronounced effect on the chemical profiles of extracts except for L. camara, cultivar Drap d'or flowers and leaves extracts as well as for L. camara cv Chelsea gem leaves extract. Among the tested extracts, flowers and leaves extracts of L. camara cv Chelsea gem, flowers extracts of L. camara cv Spreading sunset and L. camara cv Drap d'or showed the highest selectivity indices scoring 12.3, 10.1, 8.6 and 7.8, respectively, indicating their relative high safety and efficacy. Leaves and flowers extracts of L. camara cv Chelsea gem, flowers extracts of L. camara cv Spreading sunset and L. camara cv Drap d'or were the most promising inhibitors to viral plaques exhibiting IC50 values of 3.18, 3.67, 4.18 and 5.01 µg/mL, respectively. This was incremented by OPLS analysis that related their promising COVID-19 inhibitory activities to the presence of twelve biomarkers. Inhibiting the expression of RdRp gene is the major mechanism behind the antiviral activity of most extracts at almost all concentration levels. Molecular docking of the active biomarkers against RdRp revealed that isoverbascoside, luteolin-7,4'-O-diglucoside, camarolic acid and lantoic acid exhibited higher docking scores of -11.378, -10.64, -6.72 and -6.07 kcal/mol, respectively, when compared to remdesivir (-5.75 kcal/mol), thus these four compounds can serve as promising anti-COVID-19 candidates. CONCLUSION: Flowers and leaves extracts of four L. camara cultivars were recognized as rich sources of phytoconstituents possessing anti-COVID-19 activity. Combination of UPLC-MS/MS and chemometrics is a promising approach to detect chemical composition differences among the cultivars and correlate them to COVID-19 inhibitory activities allowing to pinpoint possible biomarkers. Further in-vitro and in-vivo studies are required to verify their activity.