Evidence map›Paper›PMID 37662273›Full record

ArticlebioRxiv : the preprint server for biology2023

Comparison of SARS-CoV-2 variants of concern in primary human nasal cultures demonstrates Delta as most cytopathic and Omicron as fastest replicating.

Nikhila S Tanneti, Anant K Patel, Li Hui Tan, Andrew D Marques, Ranawaka A P M Perera, Scott Sherrill-Mix, Brendan J Kelly, David M Renner, Ronald G Collman, Kyle Rodino and 4 more

Open access · greenAbstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 3 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors at 3 institutions in 2 countries.

Nikhila S TannetiDepartment of Microbiology.ORCID 0000-0002-9691-8611
Anant K PatelDepartment of Microbiology.
Li Hui TanDepartment of Otorhinolaryngology- Head and Neck Surgery.
Andrew D MarquesDepartment of Microbiology.
Ranawaka A P M PereraDepartment of Microbiology.
Scott Sherrill-MixDepartment of Microbiology.
Brendan J KellyDepartment of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, USA.
David M RennerDepartment of Microbiology.
Ronald G CollmanDepartment of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, USA.
Kyle RodinoDepartment of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, USA.
Carole LeeDepartment of Microbiology.
Frederic D BushmanDepartment of Microbiology.
Noam A CohenDepartment of Otorhinolaryngology- Head and Neck Surgery.
Susan R WeissDepartment of Microbiology.ORCID 0000-0002-8155-4528
University of Pennsylvania · USMonell Chemical Senses Center · USScientific Research Clinical Institute. L.I. Sverzhevsky · RU

Funding

Virus & Reservoirs CoreP30AI045008 · NIAID · UNIVERSITY OF PENNSYLVANIA · PI Ronald G Collman · 1999 to 2026
$78.6M
BRIAN INJURY TRAINING GRANTT32NS043126 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI Douglas Hamilton Smith · 2003 to 2026
$5.9M
MERS coronavirus: antagonism of double-stranded RNA induced host response by accessory proteinsR01AI140442 · NIAID · UNIVERSITY OF PENNSYLVANIA · PI Susan R Weiss · 2018 to 2026
$5.1M
Human coronavirus infection of the nasal epitheliumR01AI169537 · NIAID · UNIVERSITY OF PENNSYLVANIA · PI Noam A Cohen, Susan R Weiss · 2022 to 2026
$3.7M
COVID-19: Elucidating the Role of the NasalEpithelium in SARS-CoV-2 Infection, Transmission, and PreventionI01BX005432 · VA · PHILADELPHIA VA MEDICAL CENTER · PI COHEN, NOAM A · 2021 to 2023
–
BLRD VA I01 BX005432NIAID NIH HHS P30 AI045008NIAID NIH HHS R01 AI140442NIAID NIH HHS R01 AI169537NINDS NIH HHS T32 NS043126
6 · The paper itself

Abstract

The SARS-CoV-2 pandemic was marked with emerging viral variants, some of which were designated as variants of concern (VOCs) due to selection and rapid circulation in the human population. Here we elucidate functional features of each VOC linked to variations in replication rate. Patient-derived primary nasal cultures grown at air-liquid-interface (ALI) were used to model upper-respiratory infection and human lung epithelial cell lines used to model lower-respiratory infection. All VOCs replicated to higher titers than the ancestral virus, suggesting a selection for replication efficiency. In primary nasal cultures, Omicron replicated to the highest titers at early time points, followed by Delta, paralleling comparative studies of population sampling. All SARS-CoV-2 viruses entered the cell primarily via a transmembrane serine protease 2 (TMPRSS2)-dependent pathway, and Omicron was more likely to use an endosomal route of entry. All VOCs activated and overcame dsRNA-induced cellular responses including interferon (IFN) signaling, oligoadenylate ribonuclease L degradation and protein kinase R activation. Among the VOCs, Omicron infection induced expression of the most IFN and IFN stimulated genes. Infections in nasal cultures resulted in cellular damage, including a compromise of cell-barrier integrity and loss of nasal cilia and ciliary beating function, especially during Delta infection. Overall, Omicron was optimized for replication in the upper-respiratory system and least-favorable in the lower-respiratory cell line; and Delta was the most cytopathic for both upper and lower respiratory cells. Our findings highlight the functional differences among VOCs at the cellular level and imply distinct mechanisms of pathogenesis in infected individuals.

Indexed as

COVID-19dsRNAprimary nasal culturesSARS-CoV-2spike cleavagevariants of concern

Identifiers

PMID37662273
PMCPMC10473756
OpenAlexW4386164984

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.