Evidence map›Paper›PMID 35862968›Full record

ArticleMicrobiology spectrum2022

An Improved Immunochromatographic Strip Based on Plant-Derived E2 for Detection of Antibodies against Classical Swine Fever Virus.

Qianru Xu, Yaning Sun, Jifei Yang, Fanshu Ma, Yanan Wang, Shenli Zhang, Xueyang Li, Xiaotian Qu, Yilin Bai, Rui Jia and 3 more

Open access · goldAbstract read
In one paragraph

Article in Microbiology spectrum, 2022. 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
0.6field-weighted citation impact, top 35% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. 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

13 authors at 5 institutions in 1 country.

Qianru XuInternational Joint Research Center of National Animal Immunology, College of Veterinary Medicine, Henan Agriculture University,grid.108266.b Zhengzhou, China.
Yaning SunHenan Provincial Key Laboratory of Animal Immunology, Henan Academy of Agricultural Sciences, Zhengzhou, China.
Jifei YangHenan Provincial Key Laboratory of Animal Immunology, Henan Academy of Agricultural Sciences, Zhengzhou, China.
Fanshu MaCAS Key Laboratory of Nano-Bio Interface, Suzhou Institute of Nano-Tech and Nano-Bionics, Chinese Academy of Sciences, Suzhou, China.
Yanan WangHenan Provincial Key Laboratory of Animal Immunology, Henan Academy of Agricultural Sciences, Zhengzhou, China.
Shenli ZhangInternational Joint Research Center of National Animal Immunology, College of Veterinary Medicine, Henan Agriculture University,grid.108266.b Zhengzhou, China.
Xueyang LiInternational Joint Research Center of National Animal Immunology, College of Veterinary Medicine, Henan Agriculture University,grid.108266.b Zhengzhou, China.
Xiaotian QuInternational Joint Research Center of National Animal Immunology, College of Veterinary Medicine, Henan Agriculture University,grid.108266.b Zhengzhou, China.
Yilin BaiHenan Provincial Key Laboratory of Animal Immunology, Henan Academy of Agricultural Sciences, Zhengzhou, China.
Rui JiaHenan Provincial Key Laboratory of Animal Immunology, Henan Academy of Agricultural Sciences, Zhengzhou, China.ORCID 0000-0002-7888-9933
Li WangHenan Provincial Key Laboratory of Animal Immunology, Henan Academy of Agricultural Sciences, Zhengzhou, China.
Erqin ZhangInternational Joint Research Center of National Animal Immunology, College of Veterinary Medicine, Henan Agriculture University,grid.108266.b Zhengzhou, China.
Gaiping ZhangInternational Joint Research Center of National Animal Immunology, College of Veterinary Medicine, Henan Agriculture University,grid.108266.b Zhengzhou, China.
Henan Academy of Agricultural Sciences · CNHenan Agricultural University · CNChinese Academy of Sciences · CNHenan University · CNPeking University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Vaccination is an effective method to control the spread of classical swine fever virus (CSFV), which is a major cause of economic losses to the swine industry. Although serological detection assays are commonly used to assess immune status, current methods for monitoring of antibodies (Abs) are time-consuming, expensive, and require cell culture and virus manipulation. To address these problems, the E2 protein of CSFV was expressed in transgenic rice seeds as a labeled antigen for the development of an immunochromatographic test strip (ICTS) for rapid, precise, and cost-effective detection of Abs. The ICTS has a reasonable sensitivity of 1:128,000 for detection of serum Abs against CSFV and no cross-reactivity with Abs of other porcine viruses. The similarity of the results between the proposed ICTS and a commercial enzyme-linked immunosorbent assay was 94.1% (128/136) for detection of serum Abs from immunized animals and 92.3% (72/78) for detection of maternally derived Abs. The proposed assay was successfully used to monitor Abs against E2 of both pigs and rabbits immunized with a live attenuated vaccine or an E2 subunit vaccine. The results confirmed that the ICTS can be applied to detect Ab levels in animals with different immunological backgrounds. The ICTS based on plant-derived E2 is a relatively inexpensive, rapid, and accurate assay for detection of Abs against CSFV and avoids the risk of contamination by animal products.

Indexed as

Classical Swine FeverClassical Swine Fever VirusViral VaccinesAnimalsAntibodies, ViralRabbitsSwineVaccines, AttenuatedVaccines, SubunitAntibodies, ViralVaccines, AttenuatedVaccines, SubunitViral Vaccinesclassical swine fever virusE2 antibodiesimmunochromatographic stripplant-derived E2

Identifiers

PMID35862968
PMCPMC9431618
OpenAlexW4285093025

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.