Evidence map›Paper›PMID 40427503›Full record

ReviewBiomolecules2025

Small but Mighty: Nanobodies in the Fight Against Infectious Diseases.

Wenning Jiang, Chundong Huang, Serge Muyldermans, Lingyun Jia

Abstract readReview
In one paragraph

Review in Biomolecules, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Collective fluctuations underlying nanobody inhibitory activity targetingbioRxiv : the preprint server for biology · 2026
    Article
  2. Article
  3. Review
  4. Review
  5. Article
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.

Wenning JiangDepartment of Public Security Administration, Liaoning Police College, Dalian 116036, China.
Chundong HuangDalian Kangyuan Medical Technology Co., Ltd., Dalian 116014, China.ORCID 0000-0003-3412-2287
Serge MuyldermansDalian Kangyuan Medical Technology Co., Ltd., Dalian 116014, China.ORCID 0000-0002-3678-3575
Lingyun JiaThe School of Bioengineering, Dalian University of Technology, Dalian 116036, China.ORCID 0000-0002-9699-3689

Funding

Key Program of National Natural Science Foundation of China U20A20263Liaoning Revitalization Talents Program XLYC2002095Natural Science Foundation of Liaoning Province 2024-BS-285Outstanding Young Talents of Science and Technology in Dalian 2024RY013Scientific Research Starting Foundation of Liaoning Police College 2024LNPCBS-111
6 · The paper itself

Abstract

Infectious diseases, caused by pathogenic microorganisms and capable of spreading, pose a significant threat to global public health. Developing efficient and cost-effective techniques for treating infectious diseases is crucial in curbing their progression and reducing patients' morbidity and mortality. Nanobodies (Nbs), a novel class of affinity reagents derived from unique heavy chain-only antibodies in camelids, represent the smallest intact and fully functional antigen-binding fragments. Compared with conventional antibodies and their antigen binding fragments, Nbs offer numerous advantages, including high affinity, exceptional target specificity, cost-effective production, easy accessibility, and robust stability, demonstrating immense potential in infectious disease treatment. This review introduces Nbs and focuses on discussing their mechanisms and intervention strategies in the treatment of viral and bacterial infections.

Indexed as

Bacterial InfectionsCommunicable DiseasesSingle-Domain AntibodiesVirus DiseasesAnimalsHumansSingle-Domain Antibodiesbacteriainfectious diseasesnanobodytreatmentvirus

Identifiers

PMID40427503
PMCPMC12109223

What OpenQuestion 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 OpenQuestion graph.