Evidence map›Paper›PMID 38675799›Full record

ArticleVaccines2024

Engineered Multivalent Nanobodies Efficiently Neutralize SARS-CoV-2 Omicron Subvariants BA.1, BA.4/5, XBB.1 and BQ.1.1.

Jiali Wang, Bingjie Shi, Hanyi Chen, Mengyuan Yu, Peipei Wang, Zhaohui Qian, Keping Hu, Jianxun Wang

Abstract read
In one paragraph

Article in Vaccines, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Nanobodies targeting SARS-CoV-2 variants.Acta pharmaceutica Sinica. B · 2026
    Review
  2. Article
  3. Review
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

8 authors.

Jiali WangSchool of Life Sciences, Beijing University of Chinese Medicine, Beijing 100029, China.
Bingjie ShiSchool of Life Sciences, Beijing University of Chinese Medicine, Beijing 100029, China.
Hanyi ChenSchool of Life Sciences, Beijing University of Chinese Medicine, Beijing 100029, China.
Mengyuan YuSchool of Life Sciences, Beijing University of Chinese Medicine, Beijing 100029, China.
Peipei WangSchool of Life Sciences, Beijing University of Chinese Medicine, Beijing 100029, China.
Zhaohui QianNHC Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China.
Keping HuThe Institute of Medicinal Plant Development, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China.
Jianxun WangSchool of Life Sciences, Beijing University of Chinese Medicine, Beijing 100029, China.

Funding

Scientific Research Startup Funds for High-level Talents from Beijing University of Chinese Medicine 9011451310032
6 · The paper itself

Abstract

Most available neutralizing antibodies are ineffective against highly mutated SARS-CoV-2 Omicron subvariants. Therefore, it is crucial to develop potent and broad-spectrum alternatives to effectively manage Omicron subvariants. Here, we constructed a high-diversity nanobody phage display library and identified nine nanobodies specific to the SARS-CoV-2 receptor-binding domain (RBD). Five of them exhibited cross-neutralization activity against the SARS-CoV-2 wild-type (WT) strain and the Omicron subvariants BA.1 and BA.4/5, and one nanobody demonstrated marked efficacy even against the Omicron subvariants BQ.1.1 and XBB.1. To enhance the therapeutic potential, we engineered a panel of multivalent nanobodies with increased neutralizing potency and breadth. The most potent multivalent nanobody, B13-B13-B13, cross-neutralized all tested pseudoviruses, with a geometric mean of the 50% inhibitory concentration (GM IC

Indexed as

multivalent nanobodiesneutralizing activityOmicron subvariantsphage display libraryreceptor-binding domain (RBD)SARS-CoV-2

Identifiers

PMID38675799
PMCPMC11054741

What OpenQuestion holds

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LicenceCC BY
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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.