Evidence map›Paper›PMID 36248787›Full record

ReviewFrontiers in immunology2022

Single Domain Antibody application in bacterial infection diagnosis and neutralization.

Qian Qin, Hao Liu, Wenbo He, Yucheng Guo, Jiaxin Zhang, Junjun She, Fang Zheng, Sicai Zhang, Serge Muyldermans, Yurong Wen

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
4.3field-weighted citation impact, top 5% of its field
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

14 citing papers in PubMed, 34 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. Domain antibody-displayed phages as a novel biofilm-targeted therapy for Staphylococcus aureus.International microbiology : the official journal of the Spanish Society for Microbiology · 2025
    Article
  7. Article
  8. Nanobodies in animal infectious disease control: diagnosis and therapy.Frontiers in cellular and infection microbiology · 2025
    Review
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. 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

10 authors at 4 institutions in 2 countries.

Qian QinDepartment of General Surgery, Center for Microbiome Research of Med-X Institute, The First Affiliated Hospital, Xi'an Jiaotong University, Xi'an, China.
Hao LiuCenter for Biomedical Research, Institute of Future Agriculture, Northwest A&F University, Yangling, China.
Wenbo HeDepartment of General Surgery, Center for Microbiome Research of Med-X Institute, The First Affiliated Hospital, Xi'an Jiaotong University, Xi'an, China.
Yucheng GuoThe Key Laboratory of Environment and Genes Related to Disease of Ministry of Education, Health Science Center, Xi'an Jiaotong University, Xi'an, China.
Jiaxin ZhangThe Key Laboratory of Environment and Genes Related to Disease of Ministry of Education, Health Science Center, Xi'an Jiaotong University, Xi'an, China.
Junjun SheDepartment of General Surgery, Center for Microbiome Research of Med-X Institute, The First Affiliated Hospital, Xi'an Jiaotong University, Xi'an, China.
Fang ZhengThe Key Laboratory of Environment and Genes Related to Disease of Ministry of Education, Health Science Center, Xi'an Jiaotong University, Xi'an, China.
Sicai ZhangCenter for Biomedical Research, Institute of Future Agriculture, Northwest A&F University, Yangling, China.
Serge MuyldermansLaboratory of Cellular and Molecular Immunology, Vrije Universiteit Brussel, Brussels, Belgium.
Yurong WenDepartment of General Surgery, Center for Microbiome Research of Med-X Institute, The First Affiliated Hospital, Xi'an Jiaotong University, Xi'an, China.
First Affiliated Hospital of Xi'an Jiaotong University · CNXi'an Jiaotong University · CNNorthwest A&F University · CNVrije Universiteit Brussel · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Increasing antibiotic resistance to bacterial infections causes a serious threat to human health. Efficient detection and treatment strategies are the keys to preventing and reducing bacterial infections. Due to the high affinity and antigen specificity, antibodies have become an important tool for diagnosis and treatment of various human diseases. In addition to conventional antibodies, a unique class of "heavy-chain-only" antibodies (HCAbs) were found in the serum of camelids and sharks. HCAbs binds to the antigen through only one variable domain Referred to as VHH (variable domain of the heavy chain of HCAbs). The recombinant format of the VHH is also called single domain antibody (sdAb) or nanobody (Nb). Sharks might also have an ancestor HCAb from where SdAbs or V-NAR might be engineered. Compared with traditional Abs, Nbs have several outstanding properties such as small size, high stability, strong antigen-binding affinity, high solubility and low immunogenicity. Furthermore, they are expressed at low cost in microorganisms and amenable to engineering. These superior properties make Nbs a highly desired alternative to conventional antibodies, which are extensively employed in structural biology, unravelling biochemical mechanisms, molecular imaging, diagnosis and treatment of diseases. In this review, we summarized recent progress of nanobody-based approaches in diagnosis and neutralization of bacterial infection and further discussed the challenges of Nbs in these fields.

Indexed as

Bacterial InfectionsCamelids, New WorldSingle-Domain AntibodiesAnimalsAntibodiesHumansImmunoglobulin Heavy ChainsAntibodiesImmunoglobulin Heavy ChainsSingle-Domain Antibodiesbacterial infectiondiagnosisnanobodyneutralizationsingle domain antibody

Identifiers

PMID36248787
PMCPMC9558170
OpenAlexW4298005175

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.