Evidence map›Paper›PMID 40066047›Full record

ArticleHeliyon2025

A novel single-domain antibody obtained from immune Bactrian camels against botulinum toxin type A using SPR-based screening method.

Naijing Hu, Fenghao Peng, Zhiyang Jiang, Zhihong Wang, Shangde Peng, Cong Xing, Yingjun Liu, Xinying Li, Longlong Luo, Guojiang Chen and 6 more

Abstract read
In one paragraph

Article in Heliyon, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

16 authors.

Naijing HuBeijing Institute of Pharmacology and Toxicology, Beijing, 100850, China.
Fenghao PengBeijing Institute of Pharmacology and Toxicology, Beijing, 100850, China.
Zhiyang JiangBeijing Institute of Pharmacology and Toxicology, Beijing, 100850, China.
Zhihong WangBeijing Institute of Tropical Medicine, Beijing Friendship Hospital, Capital Medical University, Beijing, 100050, China.
Shangde PengBeijing Institute of Pharmacology and Toxicology, Beijing, 100850, China.
Cong XingBeijing Institute of Pharmacology and Toxicology, Beijing, 100850, China.
Yingjun LiuBeijing Institute of Pharmacology and Toxicology, Beijing, 100850, China.
Xinying LiBeijing Institute of Pharmacology and Toxicology, Beijing, 100850, China.
Longlong LuoBeijing Institute of Pharmacology and Toxicology, Beijing, 100850, China.
Guojiang ChenBeijing Institute of Pharmacology and Toxicology, Beijing, 100850, China.
He XiaoBeijing Institute of Pharmacology and Toxicology, Beijing, 100850, China.
Jing WangBeijing Institute of Pharmacology and Toxicology, Beijing, 100850, China.
Jiyun YuBeijing Institute of Pharmacology and Toxicology, Beijing, 100850, China.
Chenghua LiuBeijing Institute of Pharmacology and Toxicology, Beijing, 100850, China.
Chunxia QiaoBeijing Institute of Pharmacology and Toxicology, Beijing, 100850, China.
Jiannan FengBeijing Institute of Pharmacology and Toxicology, Beijing, 100850, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Botulinum neurotoxin (BoNT) is a highly lethal toxin produced by the anaerobic bacterium Clostridium botulinum, which leads to nerve paralysis following poisoning. At present, there is no specific drug officially approved. Antibodies, particularly single-domain antibodies, represent safe and effective candidates for specific drugs against BoNT. In this study, the receptor-binding domain of botulinum toxin (BoNT/AHC

Indexed as

Bactrian camelBotulinum neurotoxin type ASingle-domain antibodiesSurface plasmon resonance

Identifiers

PMID40066047
PMCPMC11891721

What OpenQuestion holds

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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.