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Tylvalosin Induces Apoptosis of Porcine Neutrophils and Macrophages, Efferocytosis by Porcine Macrophages and Modulation of Lipid Mediators of Inflammation <i>in vitro</i> : A New Class of Anti‐Microbial with Anti‐inflammatory and Pro‐resolution Properties?

2017· article· en· W4389020986 on OpenAlexaffabout
Ruth Moges, Dimitri Desmonts de Lamache, Gregory Muench, Elizabeth M. Abbott, André G. Buret

Bibliographic record

VenueThe FASEB Journal · 2017
Typearticle
Languageen
FieldPharmacology, Toxicology and Pharmaceutics
TopicHops Chemistry and Applications
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsEfferocytosisInflammationChemokineMacrophagePhagocytosisBiologyTumor necrosis factor alphaApoptosisImmunologyChemistryIn vitroBiochemistry

Abstract

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Mucosal inflammatory diseases cause great economic losses in the livestock industry. Previous research has shown that some macrolides effectively modulate bacterial‐induced inflammation in animal models. Tylvalosin (TYL) is a new macrolide antibiotic, meant to treat porcine respiratory diseases, in which inflammation is a major component of pathophysiology. The immune modulating effects of tylvalosin are unknown. We hypothesized that TYL may promote the resolution of inflammation in pigs, hence making it an appealing anti‐infective therapeutic. Aims The aims of the study were to characterize the effects of this macrolide on (1) apoptosis (2) necrosis and reactive oxygen species (ROS) production (3) cytokine, chemokine and lipid mediators of inflammation – leukotriene B 4 (LTB − 4 ), prostaglandin E 2 (PGE 2 ) and lipoxin A 4 (LXA 4 ) (4) phagocytosis and efferocytosis of neutrophils (PMNs) by macrophages. Methods Porcine blood was collected from the jugular vein for isolation of PMNs and monocytes. Isolated monocytes were grown and matured (verified by esterase staining) over the course of 7 days. Leukocytes were treated with vehicle, TYL, lincomyosin or positive controls: LPS, staurosporine or calcium ionophore. (1) Apoptosis was measured by western blot for cleaved‐caspase 3, TUNEL staining for nicked DNA, and cell death ELISA (2) lactate dehydrogenase (LDH) assay for necrosis detection was used to assess cell death. ROS levels were assessed using bioassays. (3) Multiplex‐bead based assays and qPCR were employed to assess macrophage cytokine and chemokine levels. Reverse phase‐HPLC and liquid chromatography tandem mass spectrometry were used to assess PMN lipid mediator secretions (4) Macrophage phagocytosis and efferocytosis were determined using zymosan (ZYM) phagocytosis assays, TUNEL staining, and myeloperoxidase (MPO) assay. Results (1) Porcine PMN and macrophage apoptosis were increased in cells exposed to TYL in a time and dose dependent manner ( P <0.05), but not in the other groups. (2) Tylvalosin had not effect on LDH or ROS levels in macrophages or PMNs. (3) Tylvalosin reduced CXCL8 mRNA transcription and protein secretion in macrophages. IL‐1α but not IL‐1β protein secretion was inhibited. TYL reduced levels of pro‐inflammatory LTB 4 and PGE 2 , while inducing the production of pro‐resolving LXA 4 in TYL‐treated porcine PMNs (4) Treated and untreated macrophages had similar levels of phagocytic uptake of ZYM particles. In contrast, MPO revealed a dose dependent increase in efferocytosis of PMN's in macrophages upon TYL treatment ( P <0.05). Conclusions These findings suggest that TYL promotes apoptosis and efferocytosis of porcine leukocytes, while having no significant effect on necrosis or ROS production. The effect appears to be, at least in part drug‐selective, and does not affect phagocytic function. TYL inhibits LTB 4 and PGE‐ 2 , while enhancing the production of LXA 4 . Together, these results suggest that tylvalosin may have anti‐inflammatory and pro‐resolving properties in porcine tissues. Support or Funding Information ECO Animal Health, Natural Sciences and Engineering Research Council & University of Calgary

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How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.032
GPT teacher head0.304
Teacher spread0.272 · 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 source (direct Gemma or distilled Codex), 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".

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Citations0
Published2017
Admission routes2
Has abstractyes

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