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Record W2001143079 · doi:10.1071/rdv27n1ab50

50 BOVINE SPERM DEATH KINETICS: TEMPORAL CHANGES IN PRODUCTION OF REACTIVE OXYGEN SPECIES AND PLASMA MEMBRANE INJURY OF DAIRY AND BEEF FROZEN-THAWED SEMEN

2014· article· en· W2001143079 on OpenAlexaffabout
Mushtaq Ahmad, Nasim Ahmad, M. Anzar

Bibliographic record

VenueReproduction Fertility and Development · 2014
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicReproductive Physiology in Livestock
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsSemenSpermCryopreservationAndrologyArtificial inseminationBiologySemen extenderExtenderIncubationSperm motilityAnimal scienceInseminationChemistryEmbryoBiochemistryPregnancyMedicineGenetics

Abstract

fetched live from OpenAlex

The extent of changes in sperm structure and function affect the success of fertilization ultimately during the pathway to ovum in the female reproductive tract. The success of AI with frozen-thawed semen varies in dairy and beef breeds of bovine because of differed alterations in sperm during transport in female tract after insemination. To our knowledge, no report is available comparing the changes in dairy and beef sperm leading to death in female tract. Therefore, this study was aimed to investigate the changes in motility, generation of reactive oxygen species (superoxide and hydrogen peroxide), and their relation to sperm death [asymmetry (apoptosis) and rupture of plasma membrane] of dairy and beef frozen-thawed semen during incubation at 37°C for 24 h. This incubation was aimed to mimic the environment of female reproductive tract. Frozen dairy semen (n = 4 bulls) was procured from a Canadian breeding station, whereas beef semen was collected from breeding beef bulls (n = 3; 5 replicates), diluted with Tris-based extender (composition was same as used in dairy semen), cooled to +4°C over 90 min, and cryopreserved by programmable freezer using standard rate as used in dairy semen. Two straws per replicate were thawed at 37°C from both types of semen, pooled separately, and incubated at 37°C for 24 h in capped tubes. Each pooled semen sample was evaluated for motility with CASA, superoxide (O2–, and hydrogen peroxide (H2O2) radical using HE/YoPRO and H2DCFDA/PI assay, respectively, and asymmetry of plasma membrane using YoPRO/PI assay through flow cytometric analysis at 0, 2, 4, 6, 12, and 24 h of incubation. The MIXED procedure of SAS (SAS Institute Inc., Cary, NC, USA) was used to analyse the data as 2 × 6 factorial model for 2 types of semen (dairy and beef) and 6 time points using time as repeated measure. A threshold limit of 30% was considered for motility and live sperm to get optimum fertility. Sperm motility remained higher (P < 0.05) than threshold limit till 6 h in dairy (50.95 ± 2.62%) and 2 h in beef semen (30.28 ± 6.95%). Dairy semen possessed more (P < 0.05) nonapoptotic sperm without O2– (HE–/YoPRO–) till 6 h of incubation than beef semen. The increase in apoptotic sperm containing superoxide radical (HE+/YoPRO+) over time was more (P < 0.05) in beef semen till 6 h of incubation. The rise in dead sperm containing H2O2 (H2DCFDA+/PI+) was recorded more in beef than in dairy semen until 6 h of incubation. Live sperm without apoptosis (YoPRO–/PI–) were higher until 24 h in dairy (49.36 ± 4.56%) compared with beef semen (24.89 ± 3.85%), whereas viable sperm with apoptosis (YoPRO+/PI–) were found similar in both types of semen over time. In conclusion, dairy frozen-thawed semen possessed more live sperm without reactive oxygen species (superoxide and hydrogen peroxide) until 6 h of incubation than did beef semen. The decrease in superoxide radical was more in dairy than in beef semen. Dead and apoptotic sperm increased more in beef frozen-thawed semen over time during incubation. This inference suggests performing the insemination late near ovulation with beef frozen-thawed semen because of less viable life than dairy semen.

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 score0.620
Threshold uncertainty score0.371

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 head0.029
GPT teacher head0.230
Teacher spread0.201 · 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
Published2014
Admission routes2
Has abstractyes

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