| Literature DB >> 35484231 |
Ruian Ke1, Pamela P Martinez2,3,4, Rebecca L Smith4,5,6, Laura L Gibson7, Agha Mirza8, Madison Conte8, Nicholas Gallagher9, Chun Huai Luo9, Junko Jarrett9, Ruifeng Zhou10, Abigail Conte10, Tongyu Liu2, Mireille Farjo2, Kimberly K O Walden11, Gloria Rendon11, Christopher J Fields11, Leyi Wang12, Richard Fredrickson12, Darci C Edmonson4, Melinda E Baughman4, Karen K Chiu4, Hannah Choi4, Kevin R Scardina4, Shannon Bradley4, Stacy L Gloss4, Crystal Reinhart4, Jagadeesh Yedetore4, Jessica Quicksall4, Alyssa N Owens13, John Broach14,15, Bruce Barton16,17, Peter Lazar16, William J Heetderks18, Matthew L Robinson8, Heba H Mostafa9, Yukari C Manabe8,10, Andrew Pekosz10, David D McManus19, Christopher B Brooke20,21.
Abstract
The dynamics of SARS-CoV-2 replication and shedding in humans remain poorly understood. We captured the dynamics of infectious virus and viral RNA shedding during acute infection through daily longitudinal sampling of 60 individuals for up to 14 days. By fitting mechanistic models, we directly estimated viral expansion and clearance rates and overall infectiousness for each individual. Significant person-to-person variation in infectious virus shedding suggests that individual-level heterogeneity in viral dynamics contributes to 'superspreading'. Viral genome loads often peaked days earlier in saliva than in nasal swabs, indicating strong tissue compartmentalization and suggesting that saliva may serve as a superior sampling site for early detection of infection. Viral loads and clearance kinetics of Alpha (B.1.1.7) and previously circulating non-variant-of-concern viruses were mostly indistinguishable, indicating that the enhanced transmissibility of this variant cannot be explained simply by higher viral loads or delayed clearance. These results provide a high-resolution portrait of SARS-CoV-2 infection dynamics and implicate individual-level heterogeneity in infectiousness in superspreading.Entities:
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Year: 2022 PMID： 35484231 PMCID： PMC9084242 DOI： 10.1038/s41564-022-01105-z
Source DB: PubMed Journal: Nat Microbiol ISSN： 2058-5276 Impact factor: 30.964