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Record W2053518008 · doi:10.1071/rdv20n1ab213

213 <i>IN VITRO</i> DEVELOPMENT OF BOVINE EMBRYOS IN THE PRESENCE OF GROWTH HORMONE, INSULIN-LIKE GROWTH FACTOR-1, AND INSULIN IN OOCYTE MATURATION AND EMBRYO CULTURE MEDIA

2007· article· en· W2053518008 on OpenAlexaboutno aff
C. B. Ponchirolli-Schneider, Cláudia Freitas, Fernanda da Cruz Landim‐Alvarenga

Bibliographic record

VenueReproduction Fertility and Development · 2007
Typearticle
Languageen
FieldMedicine
TopicReproductive Biology and Fertility
Canadian institutionsnot available
Fundersnot available
KeywordsBlastocystAndrologyInsulinSodium pyruvateGrowth factorEmbryo cultureChemistryEmbryoHormoneEmbryo qualityIn vitro maturationInsulin-like growth factorInternal medicineEmbryogenesisEndocrinologyBiologyMedicineBiochemistry

Abstract

fetched live from OpenAlex

The addition of hormones and growth factors to bovine IVM and IVC media has been reported to affect early embryonic development by enhancing the blastocyst formation rate and quality of embryos produced. The purpose of this study was to investigate the influence of adding growth hormone (GH), insulin-like growth factor-1 (IGF-1), and insulin to IVM and IVC media. Blastocyst production rate and blastocyst quality, as verified by the number of cells with DNA fragmentation, were evaluated. Ovaries from an abattoir were transported to the laboratory and COC were selected and cultured in IVM medium 199 (Earle's salts, Sigma, St. Louis, MO, USA), 10% fetal calf serum (Sigma), 50 µg mL–1 of sodium pyruvate, 1 µg mL–1 of estradiol (Sigma), 50 µg mL–1 of hCG (Profasi hp®, 5000 IU, Serono Inc., Rockland, MA, USA), 5 µg mL–1 of FSH (Folltropin®, Vetrepharm, Ontario, Canada), and 75 µg mL–1 of gentamicin sulfate for 24 h. After IVF (18 h), zygotes were partially denuded and transferred to IVC medium HTF (HTF®, Irvine Scientific, Santa Ana, CA, USA) and BME (BME®, Sigma), in a 1:1 proportion (HTF:BME), 0.6% BSA (Sigma), 0.01% myoinositol (Sigma), and 75 µg mL–1 of gentamicin sulfate, at 38.5°C, in a humidified atmosphere of 5% CO2 in air, supplemented with 10% fetal calf serum at Day 3 of culture. Three different experiments were performed. The first and second experiments were analyzed using the chi-square test ( P < 0.05). The third experiment was analyzed with the general linear model of SAS® (SAS Institute Inc., Cary, NC, USA) and the Tukey test ( P < 0.1). In the first experiment, oocytes were cultured in IVM medium supplemented with GH (10 ng mL–1), IGF-1 (100 ng mL–1), insulin (1 µg mL–1), or all 3 combined. In the second experiment, IVC medium was supplemented with GH, IGF-1, insulin, or all 3 combined (same concentrations as above). In the third experiment, the quality of the embryos produced in the first 2 experiments was determined by the percentage of cells with DNA fragmentation. After 96 h of culture, embryos were stained with orange acridin (100 µg mL–1) and propidium iodide (100 µg mL–1) and slides were evaluated by fluorescence microscopy (450 to 490 nm). Rates of blastocyst production (blastocysts/oocytes) in the first experiment (29, 28, 28, 26, and 28% for control, GH, IGF-1, insulin, or all 3 combined, respectively) and in the second experiment (35, 35, 36, 35, and 31%) were not statistically different among the groups. In the third experiment, the addition of GH, IGF-1, or insulin to IVM medium did not affect the DNA fragmentation rate (11, 5, 2, 12, and 12%). However, the addition of insulin to IVC medium led to a higher DNA fragmentation rate (24%), when compared with the other groups (11, 10, 6, and 8% for control, GH, IGF-1, and all 3 combined). The addition of GH or IGF-1 to bovine IVM and IVC media did not affect the blastocyst production rate or the quality of embryos produced. The quality of embryos cultured in the presence of insulin was negatively affected.

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 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 score0.002
Threshold uncertainty score0.004

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)0.0010.001

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 head0.021
GPT teacher head0.255
Teacher spread0.234 · 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".

Quick stats

Citations2
Published2007
Admission routes1
Has abstractyes

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