Evidence map›Paper›PMID 42357652›Full record

ReviewViruses2026

Broad Neutralizing Antibodies Against SARS-CoV-2: Current Progress and Engineering Strategies.

Tianrong Jia, Zehong Huang, Ningshao Xia, Quan Yuan

Abstract readReview
In one paragraph

Review in Viruses, 2026. 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
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.

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

4 authors.

Tianrong JiaState Key Laboratory of Vaccines for Infectious Diseases, Xiang An Biomedicine Laboratory, School of Public Health, School of Life Sciences, Xiamen University, Xiamen 361102, China.
Zehong HuangState Key Laboratory of Vaccines for Infectious Diseases, Xiang An Biomedicine Laboratory, School of Public Health, School of Life Sciences, Xiamen University, Xiamen 361102, China.
Ningshao XiaState Key Laboratory of Vaccines for Infectious Diseases, Xiang An Biomedicine Laboratory, School of Public Health, School of Life Sciences, Xiamen University, Xiamen 361102, China.ORCID 0000-0003-0179-5266
Quan YuanState Key Laboratory of Vaccines for Infectious Diseases, Xiang An Biomedicine Laboratory, School of Public Health, School of Life Sciences, Xiamen University, Xiamen 361102, China.

Funding

National Natural Science Foundation of China 82272305National Natural Science Foundation of China 824B2066National Natural Science Foundation of China 92369110
6 · The paper itself

Abstract

The high-frequency mutation characteristics of SARS-CoV-2 have posed formidable challenges to the development of vaccines and therapeutic agents. Neutralizing antibodies, which serve as effective tools for prevention and control, have undergone continuous updates and iterations in response to viral mutations. This article provides a comprehensive review of researchers' efforts to achieve both high neutralizing potency and high mutation tolerance in SARS-CoV-2-targeting neutralizing antibodies. Building on the characteristics of conventional antibodies directed against distinct epitopes on the S protein, it further discusses the research on nanobodies, antibody cocktails, multi-specific antibodies, and other antibody formats and engineering approaches, including artificial intelligence-enabled optimization. Each antibody-based strategy targeting SARS-CoV-2 has its own distinctive advantages and potential applications, providing an integrated perspective to support the continued development of antiviral neutralizing antibodies.

Indexed as

Antibodies, NeutralizingAntibodies, ViralCOVID-19SARS-CoV-2AnimalsEpitopesHumansMutationProtein EngineeringSingle-Domain AntibodiesSpike Glycoprotein, CoronavirusAntibodies, NeutralizingAntibodies, ViralEpitopesSingle-Domain AntibodiesSpike Glycoprotein, Coronavirusspike protein, SARS-CoV-2antibody cocktailsartificial intelligencebispecific antibodiesbroadly neutralizing antibodiesconserved epitopesnanobodiesSARS-CoV-2

Identifiers

PMID42357652
PMCPMC13308482

What Socratic 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 Socratic graph.