Evidence map›Paper›PMID 37738347›Full record

ArticleScience advances2023

Age-dependent acquisition of pathogenicity by SARS-CoV-2 Omicron BA.5.

Brian Imbiakha, Shahrzad Ezzatpour, David W Buchholz, Julie Sahler, Chengjin Ye, Ximena A Olarte-Castillo, Anna Zou, Cole Kwas, Katelyn O'Hare, Annette Choi and 8 more

Open access · goldAbstract read
In one paragraph

Article in Science advances, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
4.3field-weighted citation impact, top 5% of its field
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

16 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
  2. A bireporter recombinant SARS-CoV-2 Omicron BA.5 forbioRxiv : the preprint server for biology · 2026
    Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. The Recurring Loss of ORF8 Secretion in Dominant SARS-CoV-2 Variants.International journal of molecular sciences · 2025
    Article
  10. Article
  11. Article
  12. Heliyon · 2024
    Article
  13. Article
  14. Article
  15. Article
  16. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

18 authors at 2 institutions in 1 country.

Brian ImbiakhaDepartment of Microbiology and Immunology, Cornell University, College of Veterinary Medicine, Ithaca, NY, 14853, USA.ORCID 0000-0001-8538-5445
Shahrzad EzzatpourDepartment of Microbiology, Cornell University, College of Agriculture and Life Sciences, Ithaca, NY, 14853, USA.
David W BuchholzDepartment of Microbiology and Immunology, Cornell University, College of Veterinary Medicine, Ithaca, NY, 14853, USA.ORCID 0000-0001-8874-6648
Julie SahlerDepartment of Microbiology and Immunology, Cornell University, College of Veterinary Medicine, Ithaca, NY, 14853, USA.ORCID 0000-0003-1852-9511
Chengjin YeTexas Biomedical Research Institute, San Antonio, TX, 78227, USA.ORCID 0000-0002-1934-9494
Ximena A Olarte-CastilloDepartment of Microbiology and Immunology, Cornell University, College of Veterinary Medicine, Ithaca, NY, 14853, USA.
Anna ZouDepartment of Microbiology and Immunology, Cornell University, College of Veterinary Medicine, Ithaca, NY, 14853, USA.
Cole KwasDepartment of Microbiology and Immunology, Cornell University, College of Veterinary Medicine, Ithaca, NY, 14853, USA.ORCID 0009-0002-4156-522X
Katelyn O'HareDepartment of Microbiology and Immunology, Cornell University, College of Veterinary Medicine, Ithaca, NY, 14853, USA.
Annette ChoiDepartment of Microbiology and Immunology, Cornell University, College of Veterinary Medicine, Ithaca, NY, 14853, USA.
Richard Ayomide AdelekeDepartment of Microbiology and Immunology, Cornell University, College of Veterinary Medicine, Ithaca, NY, 14853, USA.
Solomiia KhomandiakDepartment of Microbiology and Immunology, Cornell University, College of Veterinary Medicine, Ithaca, NY, 14853, USA.ORCID 0000-0002-0254-6088
Laura GoodmanJames A. Baker Institute for Animal Health, Cornell University, College of Veterinary Medicine, Ithaca, NY, 14853, USA.ORCID 0000-0002-8327-3092
Mason C JagerDepartment of Population Medicine and Diagnostic Sciences, Cornell University, College of Veterinary Medicine, Ithaca, NY, 14853, USA.ORCID 0000-0001-6036-9895
Gary R WhittakerDepartment of Microbiology and Immunology, Cornell University, College of Veterinary Medicine, Ithaca, NY, 14853, USA.ORCID 0000-0001-8037-3816
Luis Martinez-SobridoTexas Biomedical Research Institute, San Antonio, TX, 78227, USA.ORCID 0000-0001-7084-0804
Avery AugustDepartment of Microbiology and Immunology, Cornell University, College of Veterinary Medicine, Ithaca, NY, 14853, USA.ORCID 0000-0003-4968-3415
Hector C AguilarDepartment of Microbiology and Immunology, Cornell University, College of Veterinary Medicine, Ithaca, NY, 14853, USA.ORCID 0000-0001-6879-8360
Cornell University · USTexas Biomedical Research Institute · US

Funding

NIAID Centers of Excellence for Influenza Research and Response: Universal Influenza Vaccine Research Activities75N93021C00014 · NIAID · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI GARCIA-SASTRE, ADOLFO · 2021 to 2025
$62.6M
Mechanisms of Nipah virus fusion and entryR01AI109022 · NIAID · WASHINGTON STATE UNIVERSITY · PI AGUILAR-CARRENO, HECTOR · 2014 to 2024
$4.3M
Mechanism-based Targeting of the RNA Processing Machinery of SARS-CoV-2R01AI161363 · NIAID · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI GUPTA, YOGESH K · 2021 to 2025
$3.2M
The origin and future protective activity of SARS-CoV-2 RBD specific neutralizing antibodiesR01AI161175 · NIAID · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI KOBIE, JAMES J, MARTINEZ-SOBRIDO, LUIS · 2021 to 2024
$2.5M
Cornell Initiative for Maximizing Student DevelopmentR25GM125597 · NIGMS · CORNELL UNIVERSITY · PI AUGUST, AVERY · 2018 to 2022
$2.2M
Regulation of IL10 production in CD8+ T cells during Flu infection by tyrosine kinase ItkR01AI138570 · NIAID · CORNELL UNIVERSITY · PI AUGUST, AVERY · 2018 to 2022
$2.1M
Immuno-Engineering: Integrated Engineering and Immunology TrainingT32EB023860 · NIBIB · CORNELL UNIVERSITY · PI AUGUST, AVERY, PUTNAM, DAVID A · 2018 to 2022
$933k
Novel animal models to study organ-specific SARS-CoV-2-induced pathologyR21AI173816 · NIAID · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI KOROLEVA, EKATERINA, MARTINEZ-SOBRIDO, LUIS · 2023 to 2024
$499k
NIAID NIH HHS 75N93021C00014NIAID NIH HHS R01 AI109022NIAID NIH HHS R01 AI138570NIAID NIH HHS R01 AI161175NIAID NIH HHS R01 AI161363NIAID NIH HHS R21 AI173816NIBIB NIH HHS T32 EB023860NIGMS NIH HHS R25 GM125597
6 · The paper itself

Abstract

Pathology studies of SARS-CoV-2 Omicron variants of concern (VOC) are challenged by the lack of pathogenic animal models. While Omicron BA.1 and BA.2 replicate in K18-hACE2 transgenic mice, they cause minimal to negligible morbidity and mortality, and less is known about more recent Omicron VOC. Here, we show that in contrast to Omicron BA.1, BA.5-infected mice exhibited high levels of morbidity and mortality, correlating with higher early viral loads. Neither Omicron BA.1 nor BA.5 replicated in brains, unlike most prior VOC. Only Omicron BA.5-infected mice exhibited substantial weight loss, high pathology scores in lungs, and high levels of inflammatory cells and cytokines in bronchoalveolar lavage fluid, and 5- to 8-month-old mice exhibited 100% fatality. These results identify a rodent model for pathogenesis or antiviral countermeasure studies for circulating SARS-CoV-2 Omicron BA.5. Further, differences in morbidity and mortality between Omicron BA.1 and BA.5 provide a model for understanding viral determinants of pathogenicity.

Indexed as

COVID-19AnimalsAntiviral AgentsMiceMice, TransgenicSARS-CoV-2VirulenceAntiviral Agents

Identifiers

PMID37738347
PMCPMC10516498
OpenAlexW4386951880

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.