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Record W2168280836 · doi:10.3382/ps.2008-00345

Effects of salinomycin on cell-mediated immunity of broiler chickens against hydropericardium syndrome and Newcastle disease viruses

2008· article· en· W2168280836 on OpenAlexaff
Khalid Munir, M. Muneer, Ashwani Tiwari, Elmabrok Masaoud, R Chaudhry

Bibliographic record

VenuePoultry Science · 2008
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicCoccidia and coccidiosis research
Canadian institutionsUniversity of Prince Edward IslandCanadian Food Inspection Agency
Fundersnot available
KeywordsNewcastle diseaseBroilerSalinomycinImmune systemVirulenceLevamisoleImmunityCyclophosphamideBiologyDelayed hypersensitivityStimulationVirusImmunologyMicrobiologyChemotherapyEndocrinologyAntibioticsAnimal science

Abstract

fetched live from OpenAlex

The effects of salinomycin (SAL) on protective cell-mediated immune (CMI) responses of vaccinated and challenged broiler chicks against hydropericardium syndrome virus (HPSV) and Newcastle disease (NDV) were investigated while comparing 3 reference drugs [levamisole, cyclophosphamide (CYP), and cyclosporine (CYS)]. Peripheral lymphoproliferation, skin hypersensitivity reactions, and the ability of chicks to resist virulent HPSV and virulent NDV challenges were used to determine the effects of drugs on CMI responses in chicks. Salinomycin-medicated chicks showed significant (P < 0.05) stimulation of lymphoproliferation and nonsignificant (P > 0.05) stimulation of skin hypersensitivity reactions compared with untreated control chicks. However, skin thickness and lymphoproliferation of SAL-medicated chicks were significantly greater (P < 0.05) than those of CYP- and CYS-treated chicks. The greatest survival rate was recorded in SAL-medicated chicks compared with immune-suppressed (CYP- and CYS-treated) and untreated control chicks after virulent NDV and virulent HPSV challenges. Thus, it was concluded that SAL had beneficial effects on the CMI responses of broiler chicks against HPSV and NDV.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.745
Threshold uncertainty score0.284

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.020
GPT teacher head0.229
Teacher spread0.209 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations21
Published2008
Admission routes1
Has abstractyes

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