Evidence map›Paper›PMID 39022044›Full record

ArticleHeliyon2024

Optimization of preparation method and specificity verification of cat CD19 monoclonal antibody for disease diagnosis and treatment.

Liya Shen, Shuqi Yan, Aoyu Xu, Di Lan, Xue Jiang, Yuehan Peng, Songjun Wang, Zhanzhong Wang, Yongyan Chen

Abstract read
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

9 authors.

Liya ShenNourse Science Centre for Pet Nutrition, Wuhu, 241200, China.
Shuqi YanNourse Science Centre for Pet Nutrition, Wuhu, 241200, China.
Aoyu XuJoint Innovation Center, College of Life Sciences, Nankai University, Tianjin, 300071, China.
Di LanNourse Science Centre for Pet Nutrition, Wuhu, 241200, China.
Xue JiangNourse Science Centre for Pet Nutrition, Wuhu, 241200, China.
Yuehan PengNourse Science Centre for Pet Nutrition, Wuhu, 241200, China.
Songjun WangNourse Science Centre for Pet Nutrition, Wuhu, 241200, China.
Zhanzhong WangNourse Science Centre for Pet Nutrition, Wuhu, 241200, China.
Yongyan ChenJoint Innovation Center, College of Life Sciences, Nankai University, Tianjin, 300071, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

CD19 is a surface antigen on B cells that regulates B cell activation and proliferation, participating in B cell signaling. It is expressed in all B cell lineage tumor diseases, making CD19 a significant marker for detecting B cell tumor diseases and an important target for related immunotherapies. In recent years, with the deepening research on canine and feline diseases and the establishment of animal models, the demand for cat CD19 monoclonal antibodies (mAbs) has been steadily increasing. We successfully prepared cat CD19-specific monoclonal antibodies using a KLH-conjugated cat CD19 peptide as an antigen and optimized the antibody production method. The obtained monoclonal antibodies' molecular and cellular affinities were identified using CD19 peptides, eukaryotic overexpressed proteins, and peripheral blood mononuclear cells (PBMCs). The results indicate that the CD19-3H9 and CD19-8A7 monoclonal antibodies prepared in this study specifically bind to the CD19 molecule, demonstrating their suitability for use in ELISA, Western blot, and cell assays. This study successfully produced cat CD19 monoclonal antibodies with specificity and optimized the antibody preparation method, laying the foundation for the diagnosis and targeted drug combination therapy of B cell tumor diseases in both humans and pets.

Indexed as

B cell malignanciesCatCD19 monoclonal antibody

Identifiers

PMID39022044
PMCPMC11253062

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.