Evidence map›Paper›PMID 35062316›Full record

ArticleViruses2022

The Regulatory Microenvironment in Feathers of Chickens Infected with Very Virulent Marek's Disease Virus.

Jegarubee Bavananthasivam, Nadiyah Alqazlan, Mohammadali Alizadeh, Ayumi Matsuyama-Kato, Jake Astill, Raveendra R Kulkarni, Shayan Sharif

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Viruses, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.8field-weighted citation impact, top 30% 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

6 citing papers in PubMed, 5 citations in OpenAlex.

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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

7 authors at 2 institutions in 2 countries.

Jegarubee BavananthasivamDepartment of Pathobiology, Ontario Veterinary College, University of Guelph, Guelph, ON N1G 2W1, Canada.ORCID 0000-0002-0332-4823
Nadiyah AlqazlanDepartment of Pathobiology, Ontario Veterinary College, University of Guelph, Guelph, ON N1G 2W1, Canada.
Mohammadali AlizadehDepartment of Pathobiology, Ontario Veterinary College, University of Guelph, Guelph, ON N1G 2W1, Canada.
Ayumi Matsuyama-KatoDepartment of Pathobiology, Ontario Veterinary College, University of Guelph, Guelph, ON N1G 2W1, Canada.
Jake AstillDepartment of Pathobiology, Ontario Veterinary College, University of Guelph, Guelph, ON N1G 2W1, Canada.
Raveendra R KulkarniDepartment of Population Health and Pathobiology, College of Veterinary Medicine, North Carolina State University, Raleigh, NC 27607, USA.
Shayan SharifDepartment of Pathobiology, Ontario Veterinary College, University of Guelph, Guelph, ON N1G 2W1, Canada.
University of Guelph · CANorth Carolina State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Vaccines against Marek's disease can protect chickens against clinical disease; however, infected chickens continue to propagate the Marek's disease virus (MDV) in feather follicles and can shed the virus into the environment. Therefore, the present study investigated if MDV could induce an immunoregulatory microenvironment in feathers of chickens and whether vaccines can overcome the immune evasive mechanisms of MDV. The results showed an abundance of CD4

Indexed as

AnimalsCD4-Positive T-LymphocytesCD8-Positive T-LymphocytesChickensFeathersGene ExpressionHerpesvirus 2, GallidMarek DiseaseMarek Disease VaccinesSpleenTransforming Growth Factor betaVaccinationViral LoadVirus ReplicationMarek Disease VaccinesTransforming Growth Factor betachickenfeatherMarek’s disease virusMD vaccineT regulatory cell

Identifiers

PMID35062316
PMCPMC8781056
OpenAlexW4205386084

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.