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Record W2902585241 · doi:10.1071/rdv31n1ab95

95 N-Acetyl cysteine as a potential treatment for equine persistent breeding-induced endometritis

2018· article· en· W2902585241 on OpenAlexaff
Michelle D. Caissie, T. Chenier, Cathy Gartley, Elizabeth L. Scholtz, R. R. Johnson, Joanne Hewson, Dorothee Bienzle

Bibliographic record

VenueReproduction Fertility and Development · 2018
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicReproductive Physiology in Livestock
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsEndometritisInfertilityMedicineNitric oxideEndometriumAndrologyInflammationInseminationInternal medicinePhysiologyBiologyPregnancySperm

Abstract

fetched live from OpenAlex

Persistent breeding-induced endometritis (PBIE) is a major cause of infertility in mares. Transient uterine inflammation is a normal response to breeding; however, PBIE-susceptible mares do not clear this inflammation in a timely fashion. Uterine inflammation at the time of embryonic descent from the oviducts ultimately results in early embryonic death and is seen clinically as infertility. Several risk factors for PBIE have been identified and include age, parity, anatomical conformation, such as poor perineal conformation and cervical fibrosis, as well as other reproductive tract abnormalities. N-Acetyl cysteine (NAC), a mucolytic used to treat endometritis in mares, has anti-inflammatory properties, affects inflammatory cytokines, and is a mild inhibitor of nitric oxide synthase. Increased nitric oxide, causing smooth muscle relaxation and alterations in inflammatory cytokines, has been documented in PBIE mares. The objective of our study was to determine if NAC treatment would lower nitric oxide and inflammatory cytokine levels, thereby resolving PBIE. A randomised, blinded, crossover design clinical trial was performed utilising PBIE-susceptible mares (n = 10). Mares were screened for bacterial endometritis before enrolment in the study and only mares that had negative bacterial cultures were used. No other treatments were given to mares while they were enrolled in the study. Intrauterine infusion of 180 mL of 3.3% NAC was performed 12 h before insemination, when a follicle >35 mm was present. Mares were sampled for endometrial cytology and endometrial fluid to determine inflammatory cytokine (ELISA) and nitric oxide (colourimetric assay) levels at 12 and 72 h post-insemination. Endometrial biopsies were taken at the same time points post-insemination to determine gene expression of inflammatory cytokines by qPCR. Clinical signs of endometrial oedema and intrauterine fluid volumes were assessed at 12 and then every 24 h post-breeding. Statistical assessment of the data was performed using a repeated-measures ANOVA. Uterine inflammation, as determined by percent number of neutrophils on endometrial cytology (P = 0.0006), and interleukin 6 gene expression (P = 0.003) were highest at 12 h. Uterine oedema was greatest at 12 and 24 h (P = 0.02) and uterine fluid volumes were highest at 24 h (P = 0.02). Interestingly, interleukin-6 protein levels were not in accordance with gene expression, and were highest at 72 h. In this clinical trial, pre-breeding intrauterine treatment with NAC did not affect nitric oxide levels, cytokine gene expression, or clinical signs of PBIE. However, the pattern of inflammation noted in this study is consistent with that described in PBIE mares. Nevertheless, the assessment of inflammatory cytokines, both at the gene and protein level at different time points post-AI, in combination with clinical signs will add to the understanding of the alterations in inflammatory cytokine levels in mares susceptible to PBIE.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.416
Threshold uncertainty score0.480

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.065
GPT teacher head0.271
Teacher spread0.206 · 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

Citations0
Published2018
Admission routes1
Has abstractyes

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