Evidence map›Paper›PMID 31533629›Full record

ArticleBMC genomics2019

Uncovering sperm metabolome to discover biomarkers for bull fertility.

E B Menezes, A L C Velho, F Santos, T Dinh, A Kaya, E Topper, A A Moura, E Memili

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC genomics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers.

0numbers the graph read from it
0cells of the map it votes in
57citing 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

57 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Age-Associated Metabolomic Changes in Human Spermatozoa.International journal of molecular sciences · 2026
    Article
  7. Review
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

8 authors.

E B MenezesDepartment of Animal and Dairy Sciences, Mississippi State University, 4025 Wise Center, Mississippi State, MS, 39762, USA.
A L C VelhoDepartment of Animal and Dairy Sciences, Mississippi State University, 4025 Wise Center, Mississippi State, MS, 39762, USA.
F SantosDepartment of Animal and Dairy Sciences, Mississippi State University, 4025 Wise Center, Mississippi State, MS, 39762, USA.
T DinhDepartment of Animal and Dairy Sciences, Mississippi State University, 4025 Wise Center, Mississippi State, MS, 39762, USA.
A KayaDepartment of Reproduction and Artificial Insemination, Selcuk University, Konya, Turkey.
E TopperAlta Genetic Inc., Watertown, WI, USA.
A A MouraDepartment of Animal Sciences, Federal University of Ceara, Fortaleza, Brazil.
E MemiliDepartment of Animal and Dairy Sciences, Mississippi State University, 4025 Wise Center, Mississippi State, MS, 39762, USA. em149@ads.msstate.edu.ORCID http://orcid.org/0000-0002-8335-5645

Funding

Training and Mentoring Core P20GM103476 · NIGMS · UNIVERSITY OF SOUTHERN MISSISSIPPI · PI MICHAEL R GARRETT · 2012 to 2026
$60.2M
NIGMS NIH HHS P20 GM103476USDA National Institute of Food and Agriculture 2017-67016-26507
6 · The paper itself

Abstract

backgroundSubfertility decreases the efficiency of the cattle industry because artificial insemination employs spermatozoa from a single bull to inseminate thousands of cows. Variation in bull fertility has been demonstrated even among those animals exhibiting normal sperm numbers, motility, and morphology. Despite advances in research, molecular and cellular mechanisms underlying the causes of low fertility in some bulls have not been fully elucidated. In this study, we investigated the metabolic profile of bull spermatozoa using non-targeted metabolomics. Statistical analysis and bioinformatic tools were employed to evaluate the metabolic profiles high and low fertility groups. Metabolic pathways associated with the sperm metabolome were also reported.

resultsA total of 22 distinct metabolites were detected in spermatozoa from bulls with high fertility (HF) or low fertility (LF) phenotype. The major metabolite classes of bovine sperm were organic acids/derivatives and fatty acids/conjugates. We demonstrated that the abundance ratios of five sperm metabolites were statistically different between HF and LF groups including gamma-aminobutyric acid (GABA), carbamate, benzoic acid, lactic acid, and palmitic acid. Metabolites with different abundances in HF and LF bulls had also VIP scores of greater than 1.5 and AUC- ROC curves of more than 80%. In addition, four metabolic pathways associated with differential metabolites namely alanine, aspartate and glutamate metabolism, β-alanine metabolism, glycolysis or gluconeogenesis, and pyruvate metabolism were also explored.

conclusionsThis is the first study aimed at ascertaining the metabolome of spermatozoa from bulls with different fertility phenotype using gas chromatography-mass spectrometry. We identified five metabolites in the two groups of sires and such molecules can be used, in the future, as key indicators of bull fertility.

Indexed as

FertilityMetabolomeAnimalsBiomarkersCattleDairyingMaleSpermatozoaBiomarkersBovineGas chromatographyMass spectrometryMetabolomicsSpermatozoa

Identifiers

PMID31533629
PMCPMC6749656

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.