Evidence map›Paper›PMID 27270235›Full record

ArticlePloS one2016

Identification and Analysis of Immunodominant Antigens for ELISA-Based Detection of Theileria annulata.

Huseyin Bilgin Bilgic, Tulin Karagenc, Serkan Bakırcı, Brian Shiels, Andrew Tait, Jane Kinnaird, Hasan Eren, William Weir

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.4field-weighted citation impact, top 21% 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

16 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Article
  3. Mutation onOpen veterinary journal · 2024
    Article
  4. Article
  5. Article
  6. Article
  7. Genetic Resistance of Bovines to Theileriosis.Animals : an open access journal from MDPI · 2022
    Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. International journal of genomics · 2020
    Article
  14. Article
  15. Article
  16. Article
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

8 authors at 2 institutions in 2 countries.

Huseyin Bilgin BilgicFaculty of Veterinary Medicine, Department of Parasitology, Adnan Menderes University, Isıklı Mevki, 09016, Aydın, Turkey.
Tulin KaragencFaculty of Veterinary Medicine, Department of Parasitology, Adnan Menderes University, Isıklı Mevki, 09016, Aydın, Turkey.
Serkan BakırcıFaculty of Veterinary Medicine, Department of Parasitology, Adnan Menderes University, Isıklı Mevki, 09016, Aydın, Turkey.
Brian ShielsInstitute of Biodiversity Animal Health and Comparative Medicine, College of Medical, Veterinary and Life Sciences, University of Glasgow, Bearsden Road, Glasgow, G61 1QH, United Kingdom.
Andrew TaitInstitute of Biodiversity Animal Health and Comparative Medicine, College of Medical, Veterinary and Life Sciences, University of Glasgow, Bearsden Road, Glasgow, G61 1QH, United Kingdom.
Jane KinnairdInstitute of Biodiversity Animal Health and Comparative Medicine, College of Medical, Veterinary and Life Sciences, University of Glasgow, Bearsden Road, Glasgow, G61 1QH, United Kingdom.
Hasan ErenFaculty of Veterinary Medicine, Department of Parasitology, Adnan Menderes University, Isıklı Mevki, 09016, Aydın, Turkey.
William WeirInstitute of Biodiversity Animal Health and Comparative Medicine, College of Medical, Veterinary and Life Sciences, University of Glasgow, Bearsden Road, Glasgow, G61 1QH, United Kingdom.
Adnan Menderes University · TRUniversity of Glasgow · GB

Funding

Wellcome Trust
6 · The paper itself

Abstract

Tropical or Mediterranean theileriosis, caused by the protozoan parasite Theileria annulata, remains an economically important bovine disease in North Africa, Southern Europe, India, the Middle East and Asia. The disease affects mainly exotic cattle and imposes serious constraints upon livestock production and breed improvement programmes. While microscopic and molecular methods exist which are capable of detecting T. annulata during acute infection, the identification of animals in the carrier state is more challenging. Serological tests, which detect antibodies that react against parasite-encoded antigens, should ideally have the potential to identify carrier animals with very high levels of sensitivity and specificity. However, assays developed to date have suffered from a lack of sensitivity and/or specificity and it is, therefore, necessary to identify novel parasite antigens, which can be developed for this purpose. In the present study, genes encoding predicted antigens were bioinformatically identified in the T. annulata genome. These proteins, together with a panel of previously described antigens, were assessed by western blot analysis for immunoreactivity, and this revealed that four novel candidates and five previously described antigens were recognised by immune bovine serum. Using a combination of immunoprecipitation and mass spectrophotometric analysis, an immunodominant protein (encoded by TA15705) was identified as Ta9, a previously defined T cell antigen. Western blotting revealed another of the five proteins in the Ta9 family, TA15710, also to be an immunodominant protein. However, validation by Enzyme-Linked Immunosorbent Assay indicated that due to either allelic polymorphism or differential immune responses of individual hosts, none of the novel candidates can be considered ideal for routine detection of T. annulata-infected/carrier animals.

Indexed as

AnimalsAntigens, ProtozoanCattleGenome, ProtozoanImmunodominant EpitopesSensitivity and SpecificitySerologic TestsTheileria annulataTheileriasisAntigens, ProtozoanImmunodominant Epitopes

Identifiers

PMID27270235
PMCPMC4896419
OpenAlexW2397609352

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.