Evidence map›Paper›PMID 28863177›Full record

ArticlePloS one2017

Identification of sero-reactive antigens for the early diagnosis of Johne's disease in cattle.

Lingling Li, John P Bannantine, Joseph J Campo, Arlo Randall, Yrjo T Grohn, Robab Katani, Megan Schilling, Jessica Radzio-Basu, Vivek Kapur

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.4field-weighted citation impact, top 11% 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

17 citing papers in PubMed, 39 citations in OpenAlex.

  1. Article
  2. Review
  3. A proteome-wide atlas of humoral immunity toFrontiers in immunology · 2026
    Article
  4. Review
  5. Multiplex biomarker-based ELISA enables early detection ofFrontiers in veterinary science · 2025
    Article
  6. Article
  7. Interferon-gamma producing CD4Veterinary research · 2024
    Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. EnvironmentalFrontiers in cellular and infection microbiology · 2018
    Article
  17. 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

9 authors at 4 institutions in 1 country.

Lingling LiDepartment of Animal Science, The Pennsylvania State University, University Park, PA, United States of America.
John P BannantineNational Animal Disease Center USDA-ARS, Ames, IA, United States of America.
Joseph J CampoAntigen Discovery, Inc., Irvine, CA, United States of America.
Arlo RandallAntigen Discovery, Inc., Irvine, CA, United States of America.
Yrjo T GrohnCornell University, Ithaca, NY, United States of America.
Robab KataniDepartment of Animal Science, The Pennsylvania State University, University Park, PA, United States of America.
Megan SchillingDepartment of Animal Science, The Pennsylvania State University, University Park, PA, United States of America.
Jessica Radzio-BasuHuck Institutes of Life Sciences, The Pennsylvania State University, University Park, PA, United States of America.
Vivek KapurDepartment of Animal Science, The Pennsylvania State University, University Park, PA, United States of America.ORCID http://orcid.org/0000-0002-9648-0138
Pennsylvania State University · USAntigen Discovery (United States) · USCornell University · USNational Animal Disease Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mycobacterium avium subsp. paratuberculosis (MAP) is the causative agent of Johne's disease (JD), a chronic intestinal inflammatory disease of cattle and other ruminants. JD has a high herd prevalence and causes serious animal health problems and significant economic loss in domesticated ruminants throughout the world. Since serological detection of MAP infected animals during the early stages of infection remains challenging due to the low sensitivity of extant assays, we screened 180 well-characterized serum samples using a whole proteome microarray from Mycobacterium tuberculosis (MTB), a close relative of MAP. Based on extensive testing of serum and milk samples, fecal culture and qPCR for direct detection of MAP, the samples were previously assigned to one of 4 groups: negative low exposure (n = 30, NL); negative high exposure (n = 30, NH); fecal positive, ELISA negative (n = 60, F+E-); and fecal positive, ELISA positive (n = 60, F+E+). Of the 740 reactive proteins, several antigens were serologically recognized early but not late in infection, suggesting a complex and dynamic evolution of the MAP humoral immune response during disease progression. Ordinal logistic regression models identified a subset of 47 candidate proteins with significantly different normalized intensity values (p<0.05), including 12 in the NH and 23 in F+E- groups, suggesting potential utility for the early detection of MAP infected animals. Next, the diagnostic utility of four MAP orthologs (MAP1569, MAP2942c, MAP2609, and MAP1272c) was assessed and reveal moderate to high diagnostic sensitivities (range 48.3% to 76.7%) and specificity (range 96.7% to 100%), with a combined 88.3% sensitivity and 96.7% specificity. Taken together, the results of our analyses have identified several candidate MAP proteins of potential utility for the early detection of MAP infection, as well individual MAP proteins that may serve as the foundation for the next generation of well-defined serological diagnosis of JD in cattle.

Indexed as

AnimalsAntibodies, BacterialCattleCattle DiseasesEnzyme-Linked Immunosorbent AssayFecesMycobacterium avium subsp. paratuberculosisMycobacterium tuberculosisParatuberculosisPolymerase Chain ReactionReal-Time Polymerase Chain ReactionRegression AnalysisSensitivity and SpecificityAntibodies, Bacterial

Identifiers

PMID28863177
PMCPMC5581170
OpenAlexW2751405914

What OpenQuestion holds

Textmetadata
LicenceCC0
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.