Evidence map›Paper›PMID 42663461›Full record

ArticleJournal of virology2026

Nanobodies targeting SARS-CoV-2 papain-like protease exert dual antiviral and anti-inflammatory effects.

Guolong Liu, Jiantao Chen, Fang Wu, Peilan Wei, Yuzhe Wu, Di Yan, Xinfeng Xu, Qiang Ding, Yanqun Wang, Shuwen Liu and 2 more

Abstract read
In one paragraph

Article in Journal of virology, 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

12 authors.

Guolong Liu *Guangdong Provincial Key Laboratory of New Drug Screening, School of Pharmaceutical Sciences, Southern Medical University, Guangzhou, China.ORCID 0009-0001-2704-3137
Jiantao Chen *Guangdong Provincial Center for Disease Control and Prevention, Chinese Academy of Medical Sciences, Guangzhou, China.
Fang Wu *Guangdong Provincial Key Laboratory of New Drug Screening, School of Pharmaceutical Sciences, Southern Medical University, Guangzhou, China.
Peilan WeiGuangdong Provincial Center for Disease Control and Prevention, Chinese Academy of Medical Sciences, Guangzhou, China.
Yuzhe WuGuangdong Provincial Key Laboratory of New Drug Screening, School of Pharmaceutical Sciences, Southern Medical University, Guangzhou, China.
Di YanGuangdong Provincial Key Laboratory of New Drug Screening, School of Pharmaceutical Sciences, Southern Medical University, Guangzhou, China.
Xinfeng XuGuangdong Provincial Key Laboratory of New Drug Screening, School of Pharmaceutical Sciences, Southern Medical University, Guangzhou, China.
Qiang DingCenter for Infection Biology, School of Basic Medical Sciences, Tsinghua University, Beijing, China.
Yanqun WangGuangdong Provincial Center for Disease Control and Prevention, Chinese Academy of Medical Sciences, Guangzhou, China.
Shuwen LiuGuangdong Provincial Key Laboratory of New Drug Screening, School of Pharmaceutical Sciences, Southern Medical University, Guangzhou, China.ORCID 0000-0001-6346-5006
Jincun ZhaoGuangdong Provincial Center for Disease Control and Prevention, Chinese Academy of Medical Sciences, Guangzhou, China.ORCID 0000-0003-2515-5589
Wei XuGuangdong Provincial Key Laboratory of New Drug Screening, School of Pharmaceutical Sciences, Southern Medical University, Guangzhou, China.ORCID 0000-0002-3135-5010

Funding

Basic and Applied Basic Research Foundation of Guangdong Province 2023B1515120056Basic and Applied Basic Research Foundation of Guangdong Province 2024A1515011289Guangzhou Municipal Science and Technology Program key projects 2024B01J1277National Natural Science Foundation of China 82130101National Natural Science Foundation of China 82304569
6 · The paper itself

Abstract

The emergence of SARS-CoV-2 variants and the rise of antiviral resistance necessitate the development of novel therapeutics targeting highly conserved viral proteins. The papain-like protease (PLpro) is a critical target due to its dual role in viral replication and immune evasion, particularly through the removal of ISG15 modifications from host proteins. However, nanobody-based strategies targeting PLpro for combined antiviral and anti-inflammatory purposes remain underdeveloped. This study reports the identification of two nanobodies, NbP1 and NbP2, that specifically disrupt the PLpro/ISG15 interaction interface. We characterized their binding specificity and affinity using yeast surface display and competitive fluorescence polarization assays. To ensure intracellular efficacy, the nanobodies were conjugated with cell-penetrating peptides (CPPs), resulting in significant inhibition of viral replication and the attenuation of inflammatory cytokine responses in both human colonic cells and a murine colitis model. Structural epitope mapping revealed that both nanobodies bind to key conserved residues within the PLpro/ISG15 and PLpro/ubiquitin interfaces. Our findings demonstrate that nanobodies targeting the PLpro/ISG15 interface can achieve synergistic antiviral and immunomodulatory effects, providing a proof-of-concept for a novel therapeutic approach to combat SARS-CoV-2 and potentially other emerging coronaviruses.

Indexed as

Anti-Inflammatory AgentsAntiviral AgentsCoronavirus Papain-Like ProteasesCOVID-19 Drug TreatmentSARS-CoV-2Single-Domain AntibodiesAnimalsCell-Penetrating PeptidesCOVID-19CytokinesHumansMiceVirus ReplicationAnti-Inflammatory AgentsAntiviral AgentsCell-Penetrating PeptidesCoronavirus Papain-Like ProteasesCytokinespapain-like protease, SARS-CoV-2Single-Domain Antibodiesantiviral activitynanobodiesPLproPLpro-induced intestinal inflammationSARS-CoV-2

Identifiers

PMID42663461
PMCPMC13595953

What OpenQuestion holds

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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.