Evidence map›Paper›PMID 35705860›Full record

ArticleNature microbiology2022

Therapeutic efficacy of monoclonal antibodies and antivirals against SARS-CoV-2 Omicron BA.1 in Syrian hamsters.

Ryuta Uraki, Maki Kiso, Masaki Imai, Seiya Yamayoshi, Mutsumi Ito, Seiichiro Fujisaki, Emi Takashita, Michiko Ujie, Yuri Furusawa, Atsuhiro Yasuhara and 5 more

Open access · bronzeAbstract read
In one paragraph

Article in Nature microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 2 pooled it
3.7field-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

28 citing papers in PubMed, 2 syntheses or guidelines pooled it, 38 citations in OpenAlex.

  1. Pooled it
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  16. MPETDrug delivery · 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

15 authors at 3 institutions in 2 countries.

Ryuta Uraki *Division of Virology, Institute of Medical Science, University of Tokyo, Tokyo, Japan.ORCID http://orcid.org/0000-0003-0890-1922
Maki Kiso *Division of Virology, Institute of Medical Science, University of Tokyo, Tokyo, Japan.
Masaki Imai *Division of Virology, Institute of Medical Science, University of Tokyo, Tokyo, Japan.ORCID http://orcid.org/0000-0001-6988-1975
Seiya YamayoshiDivision of Virology, Institute of Medical Science, University of Tokyo, Tokyo, Japan.ORCID http://orcid.org/0000-0001-7768-5157
Mutsumi ItoDivision of Virology, Institute of Medical Science, University of Tokyo, Tokyo, Japan.
Seiichiro FujisakiCenter for Influenza and Respiratory Virus Research, National Institute of Infectious Diseases, Musashimurayama, Tokyo, Japan.
Emi TakashitaCenter for Influenza and Respiratory Virus Research, National Institute of Infectious Diseases, Musashimurayama, Tokyo, Japan.ORCID http://orcid.org/0000-0002-9064-4699
Michiko UjieDivision of Virology, Institute of Medical Science, University of Tokyo, Tokyo, Japan.
Yuri FurusawaDivision of Virology, Institute of Medical Science, University of Tokyo, Tokyo, Japan.
Atsuhiro YasuharaDivision of Virology, Institute of Medical Science, University of Tokyo, Tokyo, Japan.
Kiyoko Iwatsuki-HorimotoDivision of Virology, Institute of Medical Science, University of Tokyo, Tokyo, Japan.ORCID http://orcid.org/0000-0002-8266-020X
Yuko Sakai-TagawaDivision of Virology, Institute of Medical Science, University of Tokyo, Tokyo, Japan.
Shinji WatanabeCenter for Influenza and Respiratory Virus Research, National Institute of Infectious Diseases, Musashimurayama, Tokyo, Japan.
Hideki HasegawaCenter for Influenza and Respiratory Virus Research, National Institute of Infectious Diseases, Musashimurayama, Tokyo, Japan.
Yoshihiro KawaokaDivision of Virology, Institute of Medical Science, University of Tokyo, Tokyo, Japan. yoshihiro.kawaoka@wisc.edu.ORCID http://orcid.org/0000-0001-5061-8296
Tokyo University of Science · JPNational Institute of Infectious Diseases · JPUniversity of Wisconsin–Madison · 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
NIAID NIH HHS 75N93021C00014NIAID NIH HHS HHSN272201400008CNIH HHS HHSN272201400008C
6 · The paper itself

Abstract

The spike protein of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the major antigen stimulating the host's protective immune response. Here we assessed the efficacy of therapeutic monoclonal antibodies (mAbs) against Omicron variant (B.1.1.529) sublineage BA.1 variants in Syrian hamsters. Of the FDA-approved therapeutic mAbs tested (that is, REGN10987/REGN10933, COV2-2196/COV2-2130 and S309), only COV2-2196/COV2-2130 efficiently inhibited BA.1 replication in the lungs of hamsters, and this effect was diminished against a BA.1.1 variant possessing the S-R346K substitution. In addition, treatment of BA.1-infected hamsters with molnupiravir (a SARS-CoV-2 RNA-dependent RNA polymerase inhibitor) or S-217622 (a SARS-CoV-2 protease inhibitor) strongly reduced virus replication in the lungs. These findings suggest that the use of therapeutic mAbs in Omicron-infected patients should be carefully considered due to mutations that affect efficacy, and demonstrate that the antiviral compounds molnupiravir and S-217622 are effective against Omicron BA.1 variants.

Indexed as

COVID-19 Drug TreatmentSARS-CoV-2AnimalsAntibodies, MonoclonalAntibodies, NeutralizingAntiviral AgentsCricetinaeHumansMesocricetusRNA, ViralAntibodies, MonoclonalAntibodies, NeutralizingAntiviral AgentsCOV2-2130COV2-2196RNA, Viral

Identifiers

PMID35705860
PMCPMC12990156
OpenAlexW4282978180

What OpenQuestion holds

Textmetadata
LicenceTDM
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.