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Record W2810369421 · doi:10.3168/jds.2017-14129

Pegbovigrastim treatment affects gene expression in neutrophils of pasture-fed, periparturient cows

2018· article· en· W2810369421 on OpenAlexaff
Axel Heiser, S.J. LeBlanc, S McDougall

Bibliographic record

VenueJournal of Dairy Science · 2018
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicReproductive Physiology in Livestock
Canadian institutionsUniversity of Guelph
FundersElanco Animal HealthMassey University
KeywordsPastureAnimal scienceGeneGene expressionBiologyAndrologyMedicineAgronomyGenetics

Abstract

fetched live from OpenAlex

Treatment with granulocyte colony-stimulating factor has been reported to increase circulating neutrophil count and enhance neutrophil function in the periparturient cow. It was hypothesized that a commercially available recombinant bovine granulocyte colony-stimulating factor product (pegbovigrastim) affects gene expression profiles of neutrophils and supports neutrophil function in periparturient cows. Hence this study was undertaken to analyze expression of genes involved in neutrophil functions, including migration, interaction with pathogens, and cell survival. It also assessed the hypothesis that gene expression profiles in neutrophils are modulated by negative energy balance in the peripartum period. Holstein-Friesian, Jersey, and mixed-breed cows on pasture were blocked by expected calving date and body condition score and randomly assigned in a 2 × 2 factorial design. Cows were fed to exceed energy requirements prepartum (122%) or restricted to approximately 85% of prepartum energy requirements. At approximately 7 d before expected calving date, half the cows in each feed group were randomly assigned to be injected with pegbovigrastim or saline. Treatments were repeated within 24 h after calving. Blood samples were collected pretreatment approximately 7 d before calving (d -7). Blood, uterine flush, and milk samples were collected at 4 (d 4) and 7 d in milk (d 7) to measure the expression of a panel of 20 genes representing cell adhesion, pattern recognition, inflammation and cytokine response, antimicrobial capacity, and apoptosis functions in neutrophils using NanoString technology (NanoString Technologies Inc., Seattle, WA) to quantify RNA copy numbers. No effects were observed of prepartum feeding group or a feeding group × treatment interaction for any of the investigated genes. An effect was observed of time on expression of several genes in blood neutrophils. After calving, expression of 2 of 4 cell adhesion-related genes, 3 of 4 pattern recognition receptors, 2 of 4 inflammatory genes, 2 antimicrobial genes, and 2 of 4 cell survival genes was significantly greater at d 4 or 7 or both compared with before calving (d -7). Expression of ICAM1, TLR2, and PTGS2 was significantly higher in blood neutrophils from animals treated with pegbovigrastim compared with untreated controls, suggesting greater migration, pattern recognition, and inflammatory response ability. Pegbovigrastim also affected RNA expression in uterine cells with ICAM1, NOD1, CLEC6A, PTGS2, MPO, DEFB5, and CATHL6 being expressed at higher levels and SELL, ITGB8, IL8RB, and IL10 at lower levels. Milk somatic cells showed a similar pattern but with fewer significant changes. In contrast to the reported decline in neutrophil function in the transition period, neutrophil gene expression was increased for many of the genes studied, an apparent attempt to compensate for reduced neutrophil function. Treatment with pegbovigrastim further increased expression of several genes involved in these processes in blood neutrophils and changed uterine cells to a phenotype with increased antimicrobial capacity, typical for neutrophils that have migrated into their target tissue.

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)0.001
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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.612
Threshold uncertainty score0.317

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.023
GPT teacher head0.264
Teacher spread0.241 · 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 designBench or experimental
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

Citations26
Published2018
Admission routes1
Has abstractyes

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