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Quantitative interferon-gamma responses predict future disease progression in badgers naturally infected with Mycobacterium bovis

Overview of attention for article published in Epidemiology & Infection, October 2017
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Article details
Title
Quantitative interferon-gamma responses predict future disease progression in badgers naturally infected with Mycobacterium bovis
Published in
Epidemiology & Infection, October 2017
DOI 10.1017/s0950268817001960
Pubmed ID
Authors
Abstract

The diagnosis and control of Mycobacterium bovis infection (bovine tuberculosis: TB) continues to present huge challenges to the British cattle industry. A clearer understanding of the magnitude and duration of immune response to M. bovis infection in the European badger (Meles meles) - a wildlife maintenance host - may assist with the future development of diagnostic tests, and vaccination and disease management strategies. Here, we analyse 5280 diagnostic test results from 550 live wild badgers from a naturally-infected population to investigate whether one diagnostic test (a gamma interferon release [IFNγ] assay, n = 550 tests) could be used to predict future positive results on two other tests for the same disease (a serological test [n = 2342 tests] and mycobacterial culture [n = 2388 tests]) and hence act as an indicator of likely bacterial excretion or disease progression. Badgers with the highest IFNγ optical density (OD) values were most likely to subsequently test positive on both serological and culture tests, and this effect was detectable for up to 24 months after the IFNγ test. Furthermore, the higher the original IFNγ OD value, the greater the chance that a badger would subsequently test positive using serology. Relationships between IFNγ titres and mycobacterial culture results from different types of clinical sample suggest that the route of infection may affect the magnitude of immune response in badgers. These findings identify further value in the IFNγ test as a useful research tool, as it may help us to target studies at animals and groups that are most likely to succumb to more progressive disease.

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The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 39 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 9 23%
Researcher 7 18%
Student > Bachelor 6 15%
Student > Master 5 13%
Professor > Associate Professor 2 5%
Other 3 8%
Unknown 7 18%
Readers by discipline
Readers by discipline Count As %
Veterinary Science and Veterinary Medicine 10 26%
Agricultural and Biological Sciences 9 23%
Medicine and Dentistry 3 8%
Immunology and Microbiology 2 5%
Unspecified 1 3%
Other 6 15%
Unknown 8 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 01 November 2017.
All research outputs
#22,269,201
of 34,411,289 outputs
Outputs from Epidemiology & Infection
#3,549
of 4,766 outputs
Outputs of similar age
#214,444
of 363,814 outputs
Outputs of similar age from Epidemiology & Infection
#29
of 46 outputs
Altmetric has tracked 34,411,289 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,766 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.2. This one is in the 25th percentile – i.e., 25% 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 363,814 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 46 others from the same source and published within six weeks on either side of this one. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.