Evidence map›Paper›PMID 31666067›Full record

ArticleBMC veterinary research2019

Detection of ALV p27 in cloacal swabs and virus isolation medium by sELISA.

Xiaoyu Zhou, Lin Wang, Anning Shen, Xi Shen, Moru Xu, Kun Qian, Hongxia Shao, Yongxiu Yao, Venugopal Nair, Jianqiang Ye and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMC veterinary research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.3field-weighted citation impact, top 19% 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

14 citing papers in PubMed, 20 citations in OpenAlex.

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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 3 institutions in 2 countries.

Xiaoyu ZhouMinistry of Education Key Lab for Avian Preventive Medicine, Yangzhou University, No. 12 East Wenhui Road, Yangzhou, Jiangsu, 225009, People's Republic of China.
Lin WangMinistry of Education Key Lab for Avian Preventive Medicine, Yangzhou University, No. 12 East Wenhui Road, Yangzhou, Jiangsu, 225009, People's Republic of China.
Anning ShenMinistry of Education Key Lab for Avian Preventive Medicine, Yangzhou University, No. 12 East Wenhui Road, Yangzhou, Jiangsu, 225009, People's Republic of China.
Xi ShenMinistry of Education Key Lab for Avian Preventive Medicine, Yangzhou University, No. 12 East Wenhui Road, Yangzhou, Jiangsu, 225009, People's Republic of China.
Moru XuMinistry of Education Key Lab for Avian Preventive Medicine, Yangzhou University, No. 12 East Wenhui Road, Yangzhou, Jiangsu, 225009, People's Republic of China.
Kun QianMinistry of Education Key Lab for Avian Preventive Medicine, Yangzhou University, No. 12 East Wenhui Road, Yangzhou, Jiangsu, 225009, People's Republic of China.
Hongxia ShaoMinistry of Education Key Lab for Avian Preventive Medicine, Yangzhou University, No. 12 East Wenhui Road, Yangzhou, Jiangsu, 225009, People's Republic of China.
Yongxiu YaoThe Pirbright Institute & UK-China Centre of Excellence on Avian Disease Research, Ash Road, Pirbright, Surrey, GU24 0NF, UK.
Venugopal NairThe Pirbright Institute & UK-China Centre of Excellence on Avian Disease Research, Ash Road, Pirbright, Surrey, GU24 0NF, UK.
Jianqiang YeMinistry of Education Key Lab for Avian Preventive Medicine, Yangzhou University, No. 12 East Wenhui Road, Yangzhou, Jiangsu, 225009, People's Republic of China. jqye@yzu.edu.cn.
Aijian QinMinistry of Education Key Lab for Avian Preventive Medicine, Yangzhou University, No. 12 East Wenhui Road, Yangzhou, Jiangsu, 225009, People's Republic of China. aijian@yzu.edu.cn.ORCID http://orcid.org/0000-0001-5779-273X
Jiangsu Provincial Center for Disease Control and Prevention · CNYangzhou University · CNThe Pirbright Institute · GB

Funding

Ministry of Science and Technology of the People's Republic of China 2016YFD0500803Ministry of Science and Technology of the People's Republic of China 2017YFD0500702NCFC-RCUK-BBSRC 31761133002NCFC-RCUK-BBSRC BB/R012865/1
6 · The paper itself

Abstract

backgroundAvian leukosis (AL), which is caused by avian leukosis virus (ALV), has led to substantial economic losses in the poultry industry. The kit used to detect all ALV-positive chickens in breeder flocks is very important for efficiently controlling AL. However, a new emerging ALV subtype is currently a severe challenge in the poultry industry.

resultsIn this paper, we compared different enzyme-linked immunosorbent assay (ELISA) kits for detecting p27 of ALV in the same batch of meconium samples. Different positive samples were further analyzed by PCR or virus isolation. The results showed that 36 positive samples among the 1812 chicken meconium samples could be detected by a sandwich ELISA (sELISA) kit, but only 17 positive samples could be identified by a commercial kit. To verify this result, cloacal swabs and viruses isolated from the positive chickens (2 days old) were used to detect the presence of p27. The results showed that the positive rate of p27 was 100% for the swabs and 40% for virus isolation. Surprisingly, PCR and sequence analysis revealed that the env gene of ALV in these positive samples belonged to the novel subgroup K (ALV-K).

conclusionThese data not only demonstrate the relatively high sensitivity of the sELISA kit but also highlight the challenge of controlling ALV-K.

Indexed as

AnimalsAvian Leukosis VirusChickensCloacaEnzyme-Linked Immunosorbent AssayProliferating Cell Nuclear AntigenReagent Kits, DiagnosticSensitivity and Specificityp27 antigenProliferating Cell Nuclear AntigenReagent Kits, DiagnosticAvian leukosis virusEnzyme-linked immunosorbent assayMeconiumNovel subgroup K

Identifiers

PMID31666067
PMCPMC6822435
OpenAlexW2982620415

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.