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Record W2903500149 · doi:10.1071/rdv31n1ab90

90 Effects of treatment with the nonsteroidal anti-inflammatory drug Anafen prior to embryo recovery and the number of embryo flush procedures performed on prostaglandin levels in uterine fluid and pregnancy rate following embryo transfer

2018· article· en· W2903500149 on OpenAlexaff
R. Dupras, Louis Mills, Catherine Meunier, Younès Chorfi

Bibliographic record

VenueReproduction Fertility and Development · 2018
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicReproductive Physiology in Livestock
Canadian institutionsCegep de Saint HyacintheUniversité de MontréalHôpital Notre-Dame
Fundersnot available
KeywordsUterine hornsUterusEmbryoEmbryo transferPregnancyMedicineAndrologyPregnancy rateBiologyInternal medicine

Abstract

fetched live from OpenAlex

Some studies have shown that performing a second flush during embryo collection can increase the number of embryos recovered. However, this technique results in greater uterine manipulation that may increase PGF2a in the uterine fluid of donor cows and affect pregnancy rate in recipient females. Two experiments were conducted (1) to determine whether PGF2a concentration in uterine fluid was affected by treatment with a non-steroidal anti-inflammatory drug (NSAID) before embryo recovery and (2) to determine whether the percent of recipients becoming pregnant following embryo transfer (P/ET) was affected by flush number. In both experiments, lactating Holstein cows were used as donors (n = 18 and 34, respectively) and subjected to a standard superovulation protocol (Baracaldo et al. 2000 Theriogenology 53, 1239-1250, DOI: 10.1016/S0093-691X(00)00268-5). Embryo recovery was performed using 2 catheters that were inserted simultaneously into the uterus, 1 into each horn. During the first flush, a volume of 300 mL of flush medium was used in each horn. At the end of the first flush approximately 75 mL of fluid was left and, after 1 h, a second flush was performed to recover the remaining fluid. Samples were taken from each horn at the first and second flush to determine PGF2a concentration using a bovine PGFM ELISA kit. Data for PGF2a concentrations in uterine fluid were presented as the average of both uterine horns. In Exp. 1, donors were randomly assigned to be treated with or without 1.2 g of the NSAID Anafen (ketoprofen) IM 20 min before embryo recovery. In Exp. 2, recovered grade-1 embryos from the first and second flush procedures were frozen in ethylene glycol and subsequently transferred to synchronized Holstein heifers (n = 106 and 49 for the first and second flushes, respectively). Pregnancy was diagnosed by rectal palpation at Day 60. All data were analysed using t-test. In Exp. 1, Anafen treatment 20 min before embryo recovery reduced PGF2a in uterine fluid during the second flush procedure (105.9 ± 11.4 v. 43.6 ± 5.7 pg/mL; P < 0.001), but not during the first (54.7 ± 7.3 v. 44.2 ± 5.6 pg/mL; P = 0.34). In Exp. 2, PGF2a in uterine fluid was greater for the second flush as compared to the first flush (95.9 ± 7.4 v. 56.3 ± 5.5 pg/mL; P < 0.001). A total of 345 viable embryos were recovered from the 34 donors in Exp. 2 (n = 276 and 69 for the first and second flushes, respectively). The P/ET at Day 60 was greater (P < 0.05) for recipients that received embryos from the first flush as compared to recipients that received embryos from the second flush (64.2 v. 49.0%). Taken together, the results of the present study indicate that the second flush procedure results in greater PGF2a levels in uterine fluid and that embryos recovered during the second flush are less likely to establish pregnancy following transfer. Moreover, pretreatment of donors with the NSAID Anafen reduced PGF2a levels in uterine fluid during the second flush. Further research is needed to determine whether treatment of donors with NSAID can improve the P/ET achieved following the transfer of embryos recovered following a second flush procedure.

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 score0.746
Threshold uncertainty score0.294

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.012
GPT teacher head0.235
Teacher spread0.222 · 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".

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Citations0
Published2018
Admission routes1
Has abstractyes

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