Bioinformatic analysis and identification of single-stranded RNA sequences recognized by TLR7/8 in the SARS-CoV-2, SARS-CoV,and MERS-CoV genomes |
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| Institution: | 1. Facultad de Química, Universidad Nacional Autónoma de México (UNAM), Ciudad Universitaria, CP 04510, Mexico;2. Unidad de Investigación Médica en Inmunoquímica, Hospital de Especialidades, Centro Médico Nacional Siglo XXI, Instituto Mexicano del Seguro Social, Ciudad de México, CP 06020, Mexico;3. Visiting Professor of Immunology, Nuffield Department of Medicine, University of Oxford, UK |
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| Abstract: | During virus infection, host toll-like receptors (TLRs) can recognize different pathogen-associated molecular patterns and trigger the innate immune response. TLR7/8 can identify the single-stranded RNA (ssRNA) of the virus. This study aimed to search ssRNA sequences recognized by TLR7/8 from the SARS-CoV-2, SARS-CoV, and MERS-CoV whole genomes by a bioinformatic technique. The immunoinformatic approach showed that the SARS-CoV-2 genome has more ssRNA fragments that could be recognized by TLR7/8 than the SARS-CoV genome. These findings suggest innate immune hyperactivation by SARS-CoV-2. This activity is possibly able to provoke a robust proinflammatory response via TLR7/8 recognition and cause acute lung injury. |
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| Keywords: | SARS-CoV-2 SARS MERS TLR7 TLR8 |
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