Evidence map›Paper›PMID 34116710›Full record

ArticleVeterinary research2021

Development of a rapid and sensitive immunochromatographic strip based on EuNPs-ES fluorescent probe for the detection of early Trichinella spiralis-specific IgG antibody in pigs.

Xinyu Wang, Bin Tang, Ying Zhao, Jing Ding, Nan Wang, Yan Liu, Zijian Dong, Xiangdong Sun, Quangang Xu, Mingyuan Liu and 1 more

Open access · goldAbstract read
In one paragraph

Article in Veterinary research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.8field-weighted citation impact, top 25% 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

6 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Research on Rapid Detection Technology forFoods (Basel, Switzerland) · 2022
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  6. Review
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

11 authors at 4 institutions in 1 country.

Xinyu Wang *Key Laboratory of Zoonosis Research, Ministry of Education, Institute of Zoonosis, College of Veterinary Medicine, Jilin University, Changchun, 130062, China.
Bin Tang *Key Laboratory of Zoonosis Research, Ministry of Education, Institute of Zoonosis, College of Veterinary Medicine, Jilin University, Changchun, 130062, China.
Ying Zhao *Department of Nephrology, First Hospital of Jilin University, Changchun, 130021, China.
Jing DingKey Laboratory of Zoonosis Research, Ministry of Education, Institute of Zoonosis, College of Veterinary Medicine, Jilin University, Changchun, 130062, China.
Nan WangCollege of Veterinary Medicine, College of Animal Science and Technology, Jilin Agricultural University, Changchun, China.
Yan LiuKey Laboratory of Zoonosis Research, Ministry of Education, Institute of Zoonosis, College of Veterinary Medicine, Jilin University, Changchun, 130062, China.
Zijian DongKey Laboratory of Zoonosis Research, Ministry of Education, Institute of Zoonosis, College of Veterinary Medicine, Jilin University, Changchun, 130062, China.
Xiangdong SunChina Animal Health and Epidemiology Center, Qingdao, Shandong, China.
Quangang XuChina Animal Health and Epidemiology Center, Qingdao, Shandong, China.
Mingyuan LiuKey Laboratory of Zoonosis Research, Ministry of Education, Institute of Zoonosis, College of Veterinary Medicine, Jilin University, Changchun, 130062, China. liumy36@163.com.
Xiaolei LiuKey Laboratory of Zoonosis Research, Ministry of Education, Institute of Zoonosis, College of Veterinary Medicine, Jilin University, Changchun, 130062, China. liuxlei@163.com.
Jilin University · CNChina Animal Health and Epidemiology Center · CNFirst Hospital of Jilin University · CNJilin Agricultural University · CN

Funding

Jilin Provincial Science and Technology Development Project 20180520042JHNational Natural Science Foundation of China NSFC31520103916National Natural Science Foundation of China NSFC31872467Program for JLU Science and Technology Innovative Research Team 2017TD-32The National Key Research and Development Program of China (2017YFC1601200)
6 · The paper itself

Abstract

Trichinellosis, which is caused by nematodes of the genus Trichinella, is one of the most important zoonotic parasite diseases in the world. A rapid and sensitive immunochromatographic strip (ICS) based on Eu (III) nanoparticles (EuNPs) was developed for the detection of Trichinella spiralis (T. spiralis) infection in pigs. T. spiralis muscle larvae excretory secretory or preadult worm excretory secretory (ML-ES or PAW-ES) antigens were conjugated with EuNPs probes to capture T. spiralis-specific antibodies in pig sera, after which the complex bound to mouse anti-pig IgG deposited on the test line (T-line), producing a fluorescent signal. In the pigs infected with 100, 1000 and 10 000 ML, seroconversion was first detectable for the EuNPs-ML-ES ICS at 30, 25 and 21 days post-infection (dpi) and for the EuNPs-PAW-ES ICS at 25, 21 and 17 dpi. These results show that EuNPs-PAW-ES ICS detects anti-Trichinella IgG in pigs 4-5 days earlier that test using ML-ES antigens. Our ICS have no cross reaction with other parasite infection sera. Furthermore, the detection process could be completed in 10 min. This study indicated that our ICS can be used for the detection of the circulating antibodies in early T. spiralis infection and provide a novel method for on-site detection of T. spiralis infection in pigs.

Indexed as

AnimalsAntibodies, HelminthFluorescent DyesImmunoassayImmunoglobulin GSus scrofaSwineSwine DiseasesTrichinella spiralisTrichinellosisAntibodies, HelminthFluorescent DyesImmunoglobulin GEu (III) nanoparticlesExcretory–secretoryImmunochromatographic stripSerodiagnosisTrichinella spiralis

Identifiers

PMID34116710
PMCPMC8196438
OpenAlexW3170058423

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.