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Development of a sensitive and specific xMAP assay for detection of antibodies against infectious laryngotracheitis and bronchitis viruses

Overview of attention for article published in Virology Journal, September 2018
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Title
Development of a sensitive and specific xMAP assay for detection of antibodies against infectious laryngotracheitis and bronchitis viruses
Published in
Virology Journal, September 2018
DOI 10.1186/s12985-018-1048-x
Pubmed ID
Authors

Huanan Wang, Feng Cong, Jianchi Guan, Li Xiao, Yujun Zhu, Yuexiao Lian, Ren Huang, Meili Chen, Pengju Guo

Abstract

A serological method to simultaneously detect antibodies against infectious laryngotracheitis virus (ILTV) and infectious bronchitis virus (IBV) is imperative for the differential diagnosis and evaluation of antibodies titers after vaccination. The microspheres coated with purified recombinant glycoprotein D (gD) of ILTV or nucleocapsid (N) protein of IBV were incubated with serum samples. The simultaneous quantification of ILTV and IBV antibodies were achieved through the interrogation of microspheres by Luminex 200 detection system. . This xMAP detection demonstrated no nonspecific reactions with avian influenza virus (AIV), avian leukosis virus (ALV), newcastle disease virus (NDV), and Marek's disease virus (MDV). The results also demonstrated that the xMAP assay was four times more sensitive than the enzyme-linked immunosorbent assay (ELISA) for ILTV detection and two times more sensitive for IBV detection. A total of 90 chicken serum samples from a chicken farm were tested by xMAP and ELISA assays. The results showed that the coincidence rates were 84.44 and 100% for ILTV and IBV detection, respectively. This study exhibited an opportunity for the differential diagnosis through simultaneous detection of multiplex antibodies in serum and can be used for the multiplex antibodies evaluation after vaccination.

Twitter Demographics

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Mendeley readers

The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 28 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 25%
Researcher 6 21%
Student > Master 4 14%
Student > Bachelor 4 14%
Other 2 7%
Other 3 11%
Unknown 2 7%
Readers by discipline Count As %
Veterinary Science and Veterinary Medicine 7 25%
Biochemistry, Genetics and Molecular Biology 5 18%
Agricultural and Biological Sciences 4 14%
Computer Science 3 11%
Nursing and Health Professions 1 4%
Other 2 7%
Unknown 6 21%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 22 September 2018.
All research outputs
#11,198,499
of 14,123,042 outputs
Outputs from Virology Journal
#1,770
of 2,252 outputs
Outputs of similar age
#203,994
of 273,210 outputs
Outputs of similar age from Virology Journal
#1
of 1 outputs
Altmetric has tracked 14,123,042 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,252 research outputs from this source. They receive a mean Attention Score of 3.5. This one is in the 7th percentile – i.e., 7% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 273,210 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them