Evidence map›Paper›PMID 33633363›Full record

ArticleActa pharmacologica Sinica2021

Development of a nanobody-based immunoassay for the sensitive detection of fibrinogen-like protein 1.

Wan-Ting Zhang, Ting-Ting Liu, Man Wu, Xiao-Chen Chen, Li Han, Zhen-Zhong Shi, Yu-Ying Li, Xi-Yang Li, Hai-Xing Xu, Li-Kun Gong and 2 more

Erratum issuedOpen access · hybridAbstract read
In one paragraph

Article in Acta pharmacologica Sinica, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.4field-weighted citation impact, top 12% 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

12 citing papers in PubMed, 26 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. NANOBODIES®: A Review of Diagnostic and Therapeutic ApplicationsInternational journal of molecular sciences · 2023
    Review
  7. Article
  8. Nanobodies for the Early Detection of Ovarian Cancer.International journal of molecular sciences · 2022
    Article
  9. Article
  10. Article
  11. Review
  12. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors at 6 institutions in 1 country.

Wan-Ting Zhang *School of Chemistry, Chemical Engineering and Life Sciences, Wuhan University of Technology, Wuhan, 420070, China.
Ting-Ting Liu *Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, 201203, China.
Man WuSchool of Pharmacy, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China.
Xiao-Chen ChenShanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, 201203, China.
Li HanSchool of Pharmacy, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China.
Zhen-Zhong ShiCollege of Food Science and Technology, Shanghai Ocean University, Shanghai, 201306, China.
Yu-Ying LiShanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, 201203, China.
Xi-Yang LiSchool of Novel Chinese Medicine, Nanjing University of Chinese Medicine, Nanjing, 210046, China.
Hai-Xing XuSchool of Chemistry, Chemical Engineering and Life Sciences, Wuhan University of Technology, Wuhan, 420070, China. 3186@whut.edu.cn.
Li-Kun GongShanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, 201203, China. lkgong@cdser.simm.ac.cn.
Pei-Hu XuSchool of Chemistry, Chemical Engineering and Life Sciences, Wuhan University of Technology, Wuhan, 420070, China. whutxph68@126.com.
Yong GengShanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, 201203, China. gengyong@simm.ac.cn.
University of Chinese Academy of Sciences · CNWuhan University of Technology · CNChinese Academy of Sciences · CNShanghai University of Traditional Chinese Medicine · CNNanjing University of Chinese Medicine · CNShanghai Ocean University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Immune checkpoint inhibition is an important strategy in cancer therapy. Blockade of CTLA-4 and PD-1/PD-L1 is well developed in clinical practice. In the last few years, LAG-3 has received much interest as an emerging novel target in immunotherapy. It was recently reported that FGL1 is a major ligand of LAG-3, which is normally secreted by the liver but is upregulated in several human cancers. FGL1 is a crucial biomarker and target for cancer immunotherapy. As the efficacy of immunotherapy is limited to specific types of patients, the subset of patients needs to be selected appropriately to receive precise treatment according to different biomarkers. To date, there is no test to accurately assess FGL1 expression levels. Nanobodies have some outstanding features, such as high stability, solubility and affinity for diagnostic and therapeutic applications. Here, we report the development and validation of a rapid, sensitive, and cost-effective nanobody-based immunoassay for the detection of FGL1 in human serum. In this study, human FGL1 recombinant protein was expressed and purified for the first time as an immunized antigen. Then, we constructed a nanobody phage display library and screened several nanobodies that bind FGL1 with high affinity. We selected two nanobodies targeting different epitopes of FGL1, one as a capture and the other conjugated with HRP as a probe. The double nanobody-based sandwich ELISA to detect the concentration of FGL1 showed a good response relationship in the range of 15.625-2000 ng/mL, and the recoveries from the spiked sample were in the range of 78% and 100%. This assay could be used as a potential approach for evaluating FGL1 expression for patient stratification and for predicting the therapeutic efficacy of targeting the LAG3/FGL1 axis.

Indexed as

AnimalsCamelusEnzyme-Linked Immunosorbent AssayFibrinogenHEK293 CellsHumansImmunoassaySingle-Domain AntibodiesFGL1 protein, humanFibrinogenSingle-Domain Antibodiescancer immunologydiagnosisFGL1immune checkpointnanobody

Identifiers

PMID33633363
PMCPMC8563870
OpenAlexW3129966514

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.