Evidence map›Paper›PMID 29261761›Full record

ArticlePloS one2017

Early detection of Mycobacterium avium subsp. paratuberculosis infection in cattle with multiplex-bead based immunoassays.

Lingling Li, Bettina Wagner, Heather Freer, Megan Schilling, John P Bannantine, Joseph J Campo, Robab Katani, Yrjo T Grohn, 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 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.6field-weighted citation impact, top 16% 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

11 citing papers in PubMed, 20 citations in OpenAlex.

  1. Multiplex biomarker-based ELISA enables early detection ofFrontiers in veterinary science · 2025
    Article
  2. Article
  3. Article
  4. Encapsulins.Annual review of biochemistry · 2022
    Review
  5. Article
  6. The Occurrence ofAnimals : an open access journal from MDPI · 2021
    Article
  7. Identification ofMicroorganisms · 2020
    Article
  8. Longitudinal Study ofVeterinary sciences · 2020
    Article
  9. Review
  10. Article
  11. 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

10 authors at 4 institutions in 1 country.

Lingling LiDepartment of Animal Science, The Pennsylvania State University, University Park, PA, United States of America.
Bettina WagnerDepartment of Population Medicine and Diagnostic Sciences, Cornell University, Ithaca, NY, United States of America.
Heather FreerDepartment of Population Medicine and Diagnostic Sciences, Cornell University, Ithaca, NY, United States of America.
Megan SchillingDepartment 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.
Robab KataniDepartment of Animal Science, The Pennsylvania State University, University Park, PA, United States of America.
Yrjo T GrohnDepartment of Population Medicine and Diagnostic Sciences, Cornell University, Ithaca, NY, 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 · USCornell University · USAntigen Discovery (United States) · USNational Animal Disease Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Johne's Disease (JD), caused by Mycobacterium avium subspecies paratuberculosis (MAP), results in significant economic loss to livestock production. The early detection of MAP infection in animals with extant serological assays has remained challenging due to the low sensitivity of commercially available ELISA tests, a fact that has hampered the development of effective JD control programs. Our recent protein microarray-based studies identified several promising candidate antigens that are immunogenic during different stages of MAP infection. To evaluate these antigens for use in diagnostic assays and reliably identify animals with MAP infection, a multiplex (Luminex®) assay was developed using color-coded flourescent beads coupled to 6 MAP recombinant proteins and applied to screen 180 serum and 90 milk samples from cows at different stages of MAP infection including negative (NL), fecal test positive/ELISA negative (F+E-), and fecal positive/ELISA positive (F+E+). The results show that while serum antibody reactivities to each of the 6 antigens were highest in F+E+ group, antibody reactivity to three of the six antigens were identified in the F+E- group, suggesting that these three antigens are expressed and provoke antibody responses during the early infection stages with MAP. Further, antibodies against all six antigens were elevated in milk samples from both the F+E- and F+E+ groups in comparison to the NL group (p<0.01). Taken together, the results of our investigation suggest that multiplex bead-based assays are able to reliably identify MAP infection, even during early stages when antibody responses in animals are undetectable with widely used commercial ELISA tests.

Indexed as

AnimalsAntibodies, BacterialAntigens, BacterialCattleCattle DiseasesFluorescenceImmunoassayMilkMycobacterium avium subsp. paratuberculosisParatuberculosisRecombinant ProteinsROC CurveSensitivity and SpecificitySerumAntibodies, BacterialAntigens, BacterialRecombinant Proteins

Identifiers

PMID29261761
PMCPMC5736219
OpenAlexW2776159693

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.