Evidence map›Paper›PMID 40786610›Full record

ReviewFrontiers in cellular and infection microbiology2025

Nanobodies in animal infectious disease control: diagnosis and therapy.

Jing Wang, Tiejin Tong, Qiang Wu

Abstract readReview
In one paragraph

Review in Frontiers in cellular and infection microbiology, 2025. 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

3 authors.

Jing Wang *School of Advanced Agricultural Sciences, Yibin Vocational and Technical College, Yibin, China.
Tiejin Tong *School of Advanced Agricultural Sciences, Yibin Vocational and Technical College, Yibin, China.
Qiang WuSchool of Advanced Agricultural Sciences, Yibin Vocational and Technical College, Yibin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Animal infectious diseases threaten livestock productivity, public health, and food security. Traditional monoclonal antibodies (mAbs) face limitations in diagnostics and therapy due to their large size, instability, and high cost. Nanobodies (Nbs), derived from camelid heavy-chain antibodies, offer superior properties-small size (~15 kDa), high stability, deep tissue penetration, and cost-effective production. Nbs feature extended CDR3 loops, enabling access to cryptic epitopes, and exhibit exceptional thermal/pH stability. They are generated by immunizing camelids, cloning VHH genes, and screening via phage/yeast display. High-throughput methods (ELISA, flow cytometry) allow rapid isolation of high-affinity Nbs. Compared to mAbs, Nbs are economically produced in prokaryotic systems and engineered into multivalent or Fc-fused formats for enhanced efficacy. In diagnostics, Nbs enable sensitive, low-cost detection of pathogens like PRRSV, ASFV, and avian influenza. Nb-based competitive ELISAs and lateral flow assays improve field surveillance. Therapeutically, Nbs neutralize pathogens by targeting viral proteins (e.g., blocking PRRSV-CD163 entry) or bacterial toxins (e.g., Staphylococcus enterotoxins). Nb-Fc fusions degrade ASFV proteins via TRIM-away, while intracellular Nbs disrupt Mycobacterium ESAT-6 or Toxoplasma actin dynamics. Challenges remain in Nb affinity optimization, intracellular delivery, and

Indexed as

Animal DiseasesCommunicable Disease ControlCommunicable DiseasesSingle-Domain AntibodiesAnimalsSingle-Domain Antibodiesanimal infectious diseasesASFVdiagnosticsnanobodiesphage displayPRRSVtherapeutics

Identifiers

PMID40786610
PMCPMC12331703

What OpenQuestion holds

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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.