Evidence map›Paper›PMID 35873586›Full record

ArticleFrontiers in pharmacology2022

Pre-Clinical Development of a Potent Neutralizing Antibody MW3321 With Extensive SARS-CoV-2 Variants Coverage.

Wen Jiang, Zherui Zhang, Yuhe Zhu, Ben Chen, Chunying Gu, Zhiyan Liu, Xukai Zhang, Hualong Xiong, Yanan Zhang, Bin Zheng and 9 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in pharmacology, 2022. 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, top 91% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

19 authors at 3 institutions in 1 country.

Wen JiangMabwell (Shanghai) Bioscience Co., Ltd., Shanghai, China.
Zherui ZhangKey Laboratory of Special Pathogens and Biosafety, Wuhan Institute of Virology, Center for Biosafety Mega-Science, Chinese Academy of Sciences, Wuhan, China.
Yuhe ZhuState Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, National Institute of Diagnostics and Vaccine Development in Infectious Diseases, School of Public Health, Xiamen University, Xiamen, China.
Ben ChenMabwell (Shanghai) Bioscience Co., Ltd., Shanghai, China.
Chunying GuMabwell (Shanghai) Bioscience Co., Ltd., Shanghai, China.
Zhiyan LiuMabwell (Shanghai) Bioscience Co., Ltd., Shanghai, China.
Xukai ZhangMabwell (Shanghai) Bioscience Co., Ltd., Shanghai, China.
Hualong XiongState Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, National Institute of Diagnostics and Vaccine Development in Infectious Diseases, School of Public Health, Xiamen University, Xiamen, China.
Yanan ZhangKey Laboratory of Special Pathogens and Biosafety, Wuhan Institute of Virology, Center for Biosafety Mega-Science, Chinese Academy of Sciences, Wuhan, China.
Bin ZhengMabwell (Shanghai) Bioscience Co., Ltd., Shanghai, China.
Rongjuan WangMabwell (Shanghai) Bioscience Co., Ltd., Shanghai, China.
Shasha JiaoMabwell (Shanghai) Bioscience Co., Ltd., Shanghai, China.
An WangMabwell (Shanghai) Bioscience Co., Ltd., Shanghai, China.
Tianying ZhangState Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, National Institute of Diagnostics and Vaccine Development in Infectious Diseases, School of Public Health, Xiamen University, Xiamen, China.
Jinchao ZhangMabwell (Shanghai) Bioscience Co., Ltd., Shanghai, China.
Shuang WangMabwell (Shanghai) Bioscience Co., Ltd., Shanghai, China.
Bo ZhangKey Laboratory of Special Pathogens and Biosafety, Wuhan Institute of Virology, Center for Biosafety Mega-Science, Chinese Academy of Sciences, Wuhan, China.
Gang LiMabwell (Shanghai) Bioscience Co., Ltd., Shanghai, China.
Xun GuiMabwell (Shanghai) Bioscience Co., Ltd., Shanghai, China.
Xiamen University · CNWuhan Institute of Virology · CNChinese Academy of Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Since the outbreak of the coronavirus disease 2019 (COVID-19) pandemic, several variants of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) have emerged and have consistently replaced the previous dominant variant. Therapeutics against variants of SARS-CoV-2 are urgently needed. Ideal SARS-CoV-2 therapeutic antibodies would have high potency in viral neutralization against several emerging variants. Neutralization antibodies targeting SARS-CoV-2 could provide immediate protection after SARS-CoV-2 infection, especially for the most vulnerable populations. In this work, we comprehensively characterize the breadth and efficacy of SARS-CoV-2 RBD-targeting fully human monoclonal antibody (mAb) MW3321. MW3321 retains full neutralization activity to all tested 12 variants that have arisen in the human population, which are assigned as VOC (Variants of Concern) and VOI (Variants of Interest) due to their impacts on public health. Escape mutation experiments using replicating SARS-CoV-2 pseudovirus show that escape mutants were not generated until passage 6 for MW3321, which is much more resistant to escape mutation compared with another clinical staged SARS-CoV-2 neutralizing mAb MW3311. MW3321 could effectively reduce viral burden in hACE2-transgenic mice challenged with either wild-type or Delta SARS-CoV-2 strains through viral neutralization and Fc-mediated effector functions. Moreover, MW3321 exhibits a typical hIgG1 pharmacokinetic and safety profile in cynomolgus monkeys. These data support the development of MW3321 as a monotherapy or cocktail against SARS-CoV-2-related diseases.

Indexed as

antibody therapeuticsescape mutationneutralizing antibodysafety profileSARS-CoV-2

Identifiers

PMID35873586
PMCPMC9304585
OpenAlexW4284896163

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.