Evidence map›Paper›PMID 31160675›Full record

ArticleScientific reports2019

Combination of TLR2 and TLR3 agonists derepress infectious bursal disease virus vaccine-induced immunosuppression in the chicken.

Khalid Bashir, Deepthi Kappala, Yogendra Singh, Javeed Ahmad Dar, Asok Kumar Mariappan, Ajay Kumar, Narayanan Krishnaswamy, Sohini Dey, Madhan Mohan Chellappa, Tapas Kumar Goswami and 2 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
2.2field-weighted citation impact, top 12% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.

  1. Pooled it
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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

12 authors at 1 institution in 1 country.

Khalid BashirImmunology Section, ICAR - Indian Veterinary Research Institute, Izatnagar, Bareilly, Uttar Pradesh, (243 122), India.
Deepthi KappalaImmunology Section, ICAR - Indian Veterinary Research Institute, Izatnagar, Bareilly, Uttar Pradesh, (243 122), India.
Yogendra SinghImmunology Section, ICAR - Indian Veterinary Research Institute, Izatnagar, Bareilly, Uttar Pradesh, (243 122), India.
Javeed Ahmad DarDivision of Pathology, ICAR - Indian Veterinary Research Institute, Izatnagar, Bareilly, Uttar Pradesh, (243 122), India.
Asok Kumar MariappanDivision of Pathology, ICAR - Indian Veterinary Research Institute, Izatnagar, Bareilly, Uttar Pradesh, (243 122), India.
Ajay KumarDivision of Animal Biochemistry, ICAR - Indian Veterinary Research Institute, Izatnagar, Bareilly, Uttar Pradesh, (243 122), India.
Narayanan KrishnaswamyDivision of Animal Reproduction, ICAR - Indian Veterinary Research Institute, Izatnagar, Bareilly, Uttar Pradesh, (243 122), India.
Sohini DeyDivision of Veterinary Biotechnology, ICAR - Indian Veterinary Research Institute, Izatnagar, Bareilly, Uttar Pradesh, (243 122), India.
Madhan Mohan ChellappaDivision of Veterinary Biotechnology, ICAR - Indian Veterinary Research Institute, Izatnagar, Bareilly, Uttar Pradesh, (243 122), India.
Tapas Kumar GoswamiImmunology Section, ICAR - Indian Veterinary Research Institute, Izatnagar, Bareilly, Uttar Pradesh, (243 122), India.
Vivek Kumar GuptaCentre for Animal Disease Research and Diagnosis, ICAR - Indian Veterinary Research Institute, Izatnagar, Bareilly, Uttar Pradesh, (243 122), India.
Saravanan RamakrishnanImmunology Section, ICAR - Indian Veterinary Research Institute, Izatnagar, Bareilly, Uttar Pradesh, (243 122), India. dearsaromib@yahoo.com.ORCID http://orcid.org/0000-0001-7641-5067
Indian Veterinary Research Institute · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Live intermediate plus infectious bursal disease virus (IBDV) vaccines (hot vaccines) are used for protection against the virulent IBDV strains in young chickens. We evaluated the potential of Toll-like receptor (TLR) agonists to alleviate hot vaccine-induced immunosuppression. The combination of Pam3CSK4 and poly I:C synergistically upregulated IFN-β, IFN-γ, IL-12, IL-4, and IL-13 transcripts and cross-inhibited IL-1β, IL-10, and iNOS transcripts in the chicken peripheral blood mononuclear cells (PBMCs) as analyzed by quantitative real-time PCR. Further, four-week old specific pathogen free White Leghorn chickens (n = 60) were randomly divided into six groups and either immunized with hot IBDV vaccine with or without Pam3CSK4 and/or poly I:C or not vaccinated to serve as controls. The results indicated that poly I:C alone and in combination with Pam3CSK4 alleviated vaccine-induced immunosuppression, as evidenced by greater weight gain, increased overall antibody responses to both sheep erythrocytes and live infectious bronchitis virus vaccine, upregulated IFN-γ transcripts and nitric oxide production by PBMCs (P < 0.05), and lower bursal lesion score in the experimental birds. In conclusion, poly I:C alone and its combination with Pam3CSK4 reduced the destruction of B cells as well as bursal damage with restoration of function of T cells and macrophages when used with a hot IBDV vaccine.

Indexed as

Immunosuppression TherapyInfectious bursal disease virusAnimalsBirnaviridae InfectionsBody WeightChickensInterferon-gammaLeukocytes, MononuclearLipopeptidesMacrophagesNitric OxideNitric Oxide Synthase Type IIPoly I-CToll-Like Receptor 2Toll-Like Receptor 3Toll-Like ReceptorsInterferon-gammaLipopeptidesNitric OxideNitric Oxide Synthase Type IIPam(3)CSK(4) peptidePoly I-CToll-Like Receptor 2Toll-Like Receptor 3Toll-Like ReceptorsViral Vaccines

Identifiers

PMID31160675
PMCPMC6547722
OpenAlexW2948231699

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.