| Autor: |
Chen, Zigui, Yin Ng, Rita Way, Lui, Grace, Ling, Lowell, Leung, Agnes SY., Chow, Chit, Boon, Siaw Shi, Ho, Wendy CS., Wang, Maggie Haitian, Yi Chan, Renee Wan, Li, Albert Martin, Cheong Hui, David Shu, Sheung Chan, Paul Kay |
| Zdroj: |
Virologica Sinica; 20240101, Issue: Preprints |
| Abstrakt: |
The SARS-CoV-2 Omicron variants are notorious for their transmissibility, but little is known about their subgenomic RNA (sgRNA) expression. This study applied RNA-seq to delineate the quantitative and qualitative profiles of canonical sgRNA of 118 respiratory samples collected from patients infected with Omicron BA.2 and compared with 338 patients infected with non-variant of concern (non-VOC)-D614G. A unique characteristic profile depicted by the relative abundance of 9 canonical sgRNAs was reproduced by both BA.2 and non-VOC-D614G regardless of host gender, age and presence of pneumonia. Remarkably, such profile was lost in samples with low viral load, suggesting a potential application of sgRNA pattern to indicate viral activity of individual patient at a specific time point. A characteristic qualitative profile of canonical sgRNAs was also reproduced by both BA.2 and non-VOC-D614G. The presence of a full set of canonical sgRNAs carried a coherent correlation with crude viral load (AUC = 0.91, 95% CI 0.88–0.94), and sgRNA ORF7b was identified to be the best surrogate marker allowing feasible routine application in characterizing the infection status of individual patient. Further potentials in using sgRNA as a target for vaccine and antiviral development are worth pursuing. |
| Databáze: |
Supplemental Index |
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