Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 371

The DOI matches its Crossref record; 146 of the 146 references it cites were found in a registry or an index.

NANOBODIES®: A Review of Diagnostic and Therapeutic Applications

Open access
Jin, Bo-kyung, Odongo, Steven, Radwanska, Magdalena, Magez, Stefan·2023·International Journal of Molecular Sciences

Abstract

NANOBODY® (a registered trademark of Ablynx N.V) molecules (Nbs), also referred to as single domain-based VHHs, are antibody fragments derived from heavy-chain only IgG antibodies found in the Camelidae family. Due to their small size, simple structure, high antigen binding affinity, and remarkable stability in extreme conditions, Nbs possess the potential to overcome several of the limitations of conventional monoclonal antibodies. For many years, Nbs have been of great interest in a wide variety of research fields, particularly in the diagnosis and treatment of diseases. This has culminated with the approval of the world’s first Nb based drug (Caplacizumab) in 2018 with others following, and more on the way. This review will provide an overview, with examples, of (i) the structure and advantages of Nbs compared to conventional monoclonal antibodies, (ii) methods used to generate and produce antigen-specific Nbs, (iii) applications for diagnostics, and (iv) ongoing clinical trials for Nb therapeutics as well as promising candidates for clinical development.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.3390/ijms24065994

Cites

146 of 146 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 146 references

Research works printed but not linked: 13

  1. Crauwels, 2020, Reshaping nanobodies for affinity purification on protein a, New Biotechnol., 57, 20, 10.1016/j.nbt.2020.01.005 · doi:10.1016/j.nbt.2020.01.005
  2. Li, 2019, Ribosome Display: A Potent Display Technology used for Selecting and Evolving Specific Binders with Desired Properties, Mol. Biotechnol., 61, 60, 10.1007/s12033-018-0133-0 · doi:10.1007/s12033-018-0133-0
  3. Doerflinger, 2016, Development of a Nanobody-Based Lateral Flow Immunoassay for Detection of Human Norovirus, mSphere, 1, e00219-16, 10.1128/mSphere.00219-16 · doi:10.1128/msphere.00219-16
  4. Salvador, 2022, Nanobody-based lateral flow immunoassay for the rapid detection of aflatoxin B1 in almond milk, ACS Food Sci. Technol., 2, 1276, 10.1021/acsfoodscitech.2c00118 · doi:10.1021/acsfoodscitech.2c00118
  5. Zhang, 2021, Development of nanobody-based flow-through dot ELISA and lateral-flow immunoassay for rapid detection of 3-phenoxybenzoic acid, Anal. Methods Adv. Methods Appl., 13, 1757
  6. Yu, 2021, Generation of Dual functional Nanobody-Nanoluciferase Fusion and its potential in Bioluminescence Enzyme Immunoassay for trace Glypican-3 in Serum, Sens. Actuators. B Chem., 336, 129717, 10.1016/j.snb.2021.129717 · doi:10.1016/j.snb.2021.129717
  7. Li, 2020, An Ultrasensitive Bioluminescent Enzyme Immunoassay Based on Nanobody/Nanoluciferase Heptamer Fusion for the Detection of Tetrabromobisphenol A in Sediment, Anal. Chem., 92, 10083, 10.1021/acs.analchem.0c01908 · doi:10.1021/acs.analchem.0c01908
  8. Gu, 2022, Development of nanobody-horseradish peroxidase-based sandwich ELISA to detect Salmonella Enteritidis in milk and in vivo colonization in chicken, J. Nanobiotechnol., 20, 167, 10.1186/s12951-022-01376-y · doi:10.1186/s12951-022-01376-y
  9. Katz, 2021, Antigen sensing via nanobody-coated transistors, Nat. Biomed. Eng., 5, 639, 10.1038/s41551-021-00765-2 · doi:10.1038/s41551-021-00765-2
  10. Zheng, F., Luo, S., Ouyang, Z., Zhou, J., Mo, H., Schoonooghe, S., Muyldermans, S., De Baetselier, P., Raes, G., and Wen, Y. (2019). NIRF-Molecular Imaging with Synovial Macrophages-Targeting Vsig4 Nanobody for Disease Monitoring in a Mouse Model of Arthritis. Int. J. Mol. Sci., 20. · doi:10.3390/ijms20133347
  11. Hollifield, 2020, Caplacizumab: An anti-von Willebrand factor antibody for the treatment of thrombotic thrombocytopenic purpura, Am. J. Health-Syst. Pharm. AJHP Off. J. Am. Soc. Health-Syst. Pharm., 77, 1201, 10.1093/ajhp/zxaa151 · doi:10.1093/ajhp/zxaa151
  12. Ma, 2022, Preclinical development of a long-acting trivalent bispecific nanobody targeting IL-5 for the treatment of eosinophilic asthma, Respir. Res., 23, 316, 10.1186/s12931-022-02240-1 · doi:10.1186/s12931-022-02240-1
  13. Cunningham, 2021, RESPIRE study group Nebulised ALX-0171 for respiratory syncytial virus lower respiratory tract infection in hospitalised children: A double-blind, randomised, placebo-controlled, phase 2b trial, Lancet Respir. Med., 9, 21, 10.1016/S2213-2600(20)30320-9 · doi:10.1016/s2213-2600(20)30320-9

Cited by

See all 371

Metadata

Authors
Jin, B.-K., Odongo, S., Radwanska, M., & Magez, S.
Venue
International Journal of Molecular Sciences
Publisher
MDPI AG
Published
2023-03-22
Volume
24
Issue
6
Pages
5994
ISSN
1422-0067 (ISSN-L)
OpenAlex
W4353090737
Cited by
371
References
146
FWCI
54.76
Type
journal article
Language
en
Open access
gold
Funders
H2020-EU.3.2.1.1 Program COMBAT grant

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: NANOBODIES®: A Review of Diagnostic and Therapeutic Applications. https://app.cochat.ai/papers/10.3390/ijms24065994
The paper
Jin, B.-K., Odongo, S., Radwanska, M., & Magez, S. (2023). NANOBODIES®: A Review of Diagnostic and Therapeutic Applications. International Journal of Molecular Sciences. https://doi.org/10.3390/ijms24065994

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.