MétaCan
Menu
← Back to cohort
Record W4390849948 · doi:10.5539/jas.v16n2p48

Effect of Extender Supplementation With Caffeine on Arabian Stallion’s Semen Quality After Freezing

2024· article· en· W4390849948 on OpenAlexvenueno aff
Mohamed Shehab-El-Deen, Mohamed Ali, F. H. S. Alsulaim, I. A. I. Alolayan

Bibliographic record

VenueJournal of Agricultural Science · 2024
Typearticle
Languageen
FieldMedicine
TopicSperm and Testicular Function
Canadian institutionsnot available
Fundersnot available
KeywordsSemenSpermAndrologyExtenderCaffeineSperm motilityCryopreservationSemen collectionArtificial inseminationBiologyMotilityInseminationSemen analysisSemen extenderSemen qualitySperm washingAnimal scienceChemistryEndocrinologyEmbryoMedicineInfertilityGeneticsPregnancy

Abstract

fetched live from OpenAlex

In the current study, we aimed to investigate the effect of adding different levels of caffeine to the diluent on the Arabian stallion’s sperm quality post cryopreservation. Semen cryopreservation is an essential part of artificial insemination in Arabian horses. In most of cases, the stallion selection is based on desirable phenotypic and physical traits rather than on fertility. This approach may have resulted in the propagation of low-fertility genotypes that are unable to withstand the various stresses associated with cryopreservation such as freezing-thawing stress, oxidative stress, and osmotic stress. Caffeine has been shown to act as a phosphodiesterase inhibitor which may increase the level of cAMP in sperm and subsequently, increase the formation of adenosine triphosphate, which is important for sperm motility. Because it contains xanthine and theobromine, caffeine has antioxidant properties that increase sperm motility and their fertilizability. Five healthy stallions aged 4 to 10 years have been used for semen collection. Semen collections has been done twice weekly by artificial vagina. The ejaculates were evaluated for general progressive motility and sperm concentration. Sperm concentration and motility were determined using the CASA system (ISAS program, Prosser R+D, Paterna, Valencia, Spain). Samples with a minimum concentration of 200 × 106 sperm/ml and motility > 60% used for this study. The filtered semen of each ejaculate was diluted (1:1) and divided into 4 aliquots. The aliquots were centrifuged at 800 g for 10 minutes, the seminal plasma was removed, and each sample was re-suspended with FH-20 (0) without any supplementation as a control or with caffeine at a concentration of 0.5 mM, 1 mM, 3 mM or 5 mM. The final semen concentration after dilution was 200 × 106 sperm/ml. All samples were assessed before freezing in liquid nitrogen. The frozen thawed semen was assessed for general and progressive motility and then evaluated using the ISAS program and assessed for plasma membrane integrity, morphology defects, acrosome integrity, and viability. Descriptive analyses were determined for the evaluated variables. Statistical comparisons between groups were performed with one-way analysis of variance (ANOVA) (p < 0.05). The addition of 1 mM caffeine to the extender gave better results in total motility (TM), progressive motility (PM) and vitality. However, all studied caffeine concentrations had good effects on straight line velocity (VSL), straightness (STR), linearity (LIN), wobble (WOB) and HOST with no effects on acrosome integrity. It could be concluded that caffeine has a beneficial effect on Arabian stallion semen cryopreservation when added at a concentration of 1 mM to the extender.

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 score0.005

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 head0.012
GPT teacher head0.306
Teacher spread0.295 · 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

Citations0
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Agricultural Science→Same topicSperm and Testicular Function→French-language works237,207→