Evidence map›Paper›PMID 37161442›Full record

ArticleLaboratory animal research2023

SARS-CoV-2 Omicron variant causes brain infection with lymphoid depletion in a mouse COVID-19 model.

Na Yun Lee, Youn Woo Lee, Seung-Min Hong, Dain On, Gyeong Min Yoon, See-He An, Ki Taek Nam, Jun-Young Seo, Jeon-Soo Shin, Yang-Kyu Choi and 6 more

Open access · diamondAbstract read
In one paragraph

Article in Laboratory animal research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
3.1field-weighted citation impact, top 8% 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

13 citing papers in PubMed, 15 citations in OpenAlex.

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  9. Ameliorative effects ofIntegrative medicine research · 2024
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  12. A Mixture ofJournal of microbiology and biotechnology · 2023
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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

16 authors at 8 institutions in 2 countries.

Na Yun Lee *Division of Biomedical Convergence, College of Biomedical Science, Kangwon National University, 1 Kangwondaehak-Gil, Chuncheon-si, Gangwon-do, 24341, South Korea.
Youn Woo Lee *Department of Nuclear Medicine, Seoul National University Bundang Hospital, Seoul, South Korea.
Seung-Min Hong *Laboratory of Avian Diseases, BK21 Plus Program for Veterinary Science and Research Institute for Veterinary Science, College of Veterinary Medicine, Seoul National University, Seoul, South Korea.
Dain On *Korea Mouse Phenotyping Center (KMPC), Seoul National University, Seoul, 08826, South Korea.
Gyeong Min YoonDivision of Biomedical Convergence, College of Biomedical Science, Kangwon National University, 1 Kangwondaehak-Gil, Chuncheon-si, Gangwon-do, 24341, South Korea.
See-He AnAvian Influenza Research and Diagnostic Division, Animal and Plant Quarantine Agency, Gimcheon, 39660, South Korea.
Ki Taek NamSeverance Biomedical Science Institute, Brain Kore a 21 FOUR Project for Medical Science, Yonsei University College of Medicine, Seoul, 03722, South Korea.
Jun-Young SeoSeverance Biomedical Science Institute, Brain Kore a 21 FOUR Project for Medical Science, Yonsei University College of Medicine, Seoul, 03722, South Korea.
Jeon-Soo ShinSeverance Biomedical Science Institute, Brain Kore a 21 FOUR Project for Medical Science, Yonsei University College of Medicine, Seoul, 03722, South Korea.
Yang-Kyu ChoiDepartment of Laboratory Animal Medicine, College of Veterinary Medicine, Konkuk University, Seoul, 05029, South Korea.
Seung Hyun OhCollege of Pharmacy, Gachon University, Incheon, South Korea.
Jun-Won YunLaboratory of Veterinary Toxicology, College of Veterinary Medicine, Seoul National University, Seoul, 08826, South Korea.
Ho Young LeeDepartment of Nuclear Medicine, Seoul National University Bundang Hospital, Seoul, South Korea. md1004@snu.ac.kr.
Kang-Seuk ChoiLaboratory of Avian Diseases, BK21 Plus Program for Veterinary Science and Research Institute for Veterinary Science, College of Veterinary Medicine, Seoul National University, Seoul, South Korea. kchoi0608@snu.ac.kr.
Je Kyung SeongKorea Mouse Phenotyping Center (KMPC), Seoul National University, Seoul, 08826, South Korea. snumouse@snu.ac.kr.
Jun Won ParkDivision of Biomedical Convergence, College of Biomedical Science, Kangwon National University, 1 Kangwondaehak-Gil, Chuncheon-si, Gangwon-do, 24341, South Korea. jwpark@kangwon.ac.kr.ORCID http://orcid.org/0000-0003-4677-1786
Seoul National University · KRKangwon National University · KRYonsei University · KRSeoul National University Bundang Hospital · KRAnimal and Plant Quarantine Agency · KRGachon University · KRKonkuk University · KRNational University College · PR

Funding

National Research Foundation 2013M3A9D5072550National Research Foundation 2021M3H9A1030260
6 · The paper itself

Abstract

backgroundThe Omicron variant has become the most prevalent SARS-CoV-2 variant. Omicron is known to induce milder lesions compared to the original Wuhan strain. Fatal infection of the Wuhan strain into the brain has been well documented in COVID-19 mouse models and human COVID-19 cases, but apparent infections into the brain by Omicron have not been reported in human adult cases or animal models. In this study, we investigated whether Omicron could spread to the brain using K18-hACE2 mice susceptible to SARS-CoV-2 infection.

resultsK18-hACE2 mice were intranasally infected with 1 × 10

conclusionLethal conditions, such as severe body weight loss and encephalopathy, can occur in Omicron-infected K18-hACE2 mice. Our study reports, for the first time, that Omicron can induce brain infection with lymphoid depletion in the mouse COVID-19 model.

Indexed as

Animal modelK18-hACE2Lymphoid depletionWuhan

Identifiers

PMID37161442
PMCPMC10169124
OpenAlexW4376121332

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.