Evidence map›Paper›PMID 40272592›Full record

ReviewAdvances in anatomy, embryology, and cell biology2025

Assessing Bovine Male Fertility in a Technological Age.

Albert Barth, Viv E A Perry, Lauren E Hamilton, Peter Sutovsky, Richard Oko

Abstract readReview
PubMed Publisher
In one paragraph

Review in Advances in anatomy, embryology, and cell biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Albert BarthDepartment of Large Animal Clinical Sciences, Western College of Veterinary Medicine, University of Saskatchewan, Saskatoon, SK, Canada.
Viv E A PerryQueensland Sperm Morphology Laboratory (QSML), Goondiwindi, QLD, Australia.
Lauren E HamiltonDivision of Animal Sciences, University of Missouri, Columbia, MO, USA.
Peter SutovskyDivision of Animal Science and Department of Obstetrics, Gynecology & Women's Health, University of Missouri, Columbia, MO, USA.
Richard OkoDepartment of Biomedical and Molecular Sciences, Queen's University, Kingston, ON, Canada. ro3@queensu.ca.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

New and emerging technologies allow for a deeper and more comprehensive understanding of sperm physiology that can be harnessed to improve bull fertility selection. This chapter focuses on (1) the use of conventional and emerging flow cytometry techniques to further enhance functional sperm assessments; (2) new developments in proteomic and metabolomic biomarkers of bull fertility and how they can better inform fertility evaluations; and (3) the use of sperm selection technologies to optimize the fertility outcomes of bulls in artificial insemination service. As our knowledge of sperm physiology continues to expand, technology will allow for a faster translational capacity and continuous development of techniques. The technologies and techniques presented are current tools that can be used to enhance the efficiency, precision and accuracy of bull fertility assessments and better inform herd management.

Indexed as

FertilitySemen AnalysisSpermatozoaAnimalsBiomarkersCattleFlow CytometryInsemination, ArtificialMaleMetabolomicsProteomicsBiomarkersAcrosome IntegrityBiomarkersDensity gradient centrifugationDNA IntegrityFlow CytometryGlass Wool FiltrationImage-Based Flow CytometryMembrane IntegrityMetabolomicsMitochondrial FunctionNanopurificationOxidative StressProteomicsSperm SelectionSperm sex selectionSwim-upViability

Identifiers

PMID40272592

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.