Evidence map›Paper›PMID 34762184›Full record

ArticleCell and tissue research2022

Sperm proteins ODF2 and PAWP as markers of fertility in breeding bulls.

Abdullah Kaya, Sule Dogan, Peter Vargovic, Naseer Ahmad Kutchy, Pablo Ross, Einko Topper, Richard Oko, Frans van der Hoorn, Peter Sutovsky, Erdogan Memili

Abstract read
PubMed Publisher
In one paragraph

Article in Cell and tissue research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
4.6field-weighted citation impact, top 5% of its field
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

16 citing papers in PubMed, 30 citations in OpenAlex.

  1. Article
  2. Current Applications and Future Prospects of High-ThroughputAnimals : an open access journal from MDPI · 2026
    Review
  3. Review
  4. Article
  5. Article
  6. Assessing Bovine Male Fertility in a Technological Age.Advances in anatomy, embryology, and cell biology · 2025
    Review
  7. Comparative Study on the Sperm Proteomes of Horses and Donkeys.Animals : an open access journal from MDPI · 2024
    Article
  8. Review
  9. Article
  10. Sperm long non-coding RNAs as markers for ram fertility.Frontiers in veterinary science · 2024
    Article
  11. Article
  12. Review
  13. Testis-Specific Isoform of NaInternational journal of molecular sciences · 2022
    Review
  14. Article
  15. Article
  16. Review
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

10 authors at 8 institutions in 4 countries.

Abdullah Kaya *Department of Artificial Insemination and Reproduction, Selcuk University, Konya, Turkey.
Sule Dogan *Animal and Dairy Sciences, Mississippi State University, Starkville, MS, 39762, USA.
Peter Vargovic *Division of Animal Sciences, University of Missouri, Columbia, MO, 65211, USA.
Naseer Ahmad KutchyAnimal and Dairy Sciences, Mississippi State University, Starkville, MS, 39762, USA.
Pablo RossDepartment of Animal Sciences, University of California, Davis, CA, 95616, USA.
Einko TopperAlta Genetics, Inc, Watertown, WI, 53094, USA.
Richard OkoQueens University, Kingston, ON, Canada.
Frans van der HoornDepartment of Biochemistry Molecular Biology, University of Calgary, Calgary, AB, Canada.
Peter SutovskyDivision of Animal Sciences, University of Missouri, Columbia, MO, 65211, USA.
Erdogan MemiliAnimal and Dairy Sciences, Mississippi State University, Starkville, MS, 39762, USA. em149@ads.msstate.edu.ORCID http://orcid.org/0000-0002-8335-5645
Mississippi State University · USQueen's University · CASelçuk University · TRSt. George's University · GDUniversity of Calgary · CAUniversity of California, Davis · USUniversity of Missouri · USUniversity of Missouri Health System · US

Funding

Linking Fertility-Associated Gene Polymorphisms to Aberrant Sperm PhenotypesR01HD084353 · NICHD · UNIVERSITY OF MISSOURI-COLUMBIA · PI SUTOVSKY, PETER SUTOVSKY · 2016 to 2020
$1.7M
Epigenetic control of preimplantation embryo developmentR01HD070044 · NICHD · UNIVERSITY OF CALIFORNIA AT DAVIS · PI ROSS, PABLO JUAN · 2012 to 2016
$676k
CIHR MOP-84440National Institute of Child and Human Development R01HD070044National Institute of Child and Human Development NIH 5 R01 HD084353-02National Institute of Food and Agriculture USDA 2015-67015-23231National Research Initiative USDA 2011-67015-20025
6 · The paper itself

Abstract

Low fertility is the single most important factor limiting livestock reproductive performance, adversely affecting the cattle industry and causing millions of dollars of economic loss. In the livestock industry, male fertility is of crucial importance for the reproductive performance of livestock. However, there is a lack of reliable biomarkers to predict bull fertility in artificial insemination service. The objective of this study was to identify sperm proteins as biomarkers for bull fertility. To discover candidate sperm quality biomarkers, sperm proteome profiling was conducted in extreme high- and extreme low-fertile bulls selected from a pool of 1000 AI sires with varied fertility. Thirty-two differentially expressed proteins were identified. Among them, high levels of sperm outer dense fiber of sperm tails 2 (ODF2) and post-acrosomal assembly of sperm head protein (PAWP/WBP2NL) represented the most extreme differences in quantity between high- and low-fertility bulls. Protein immunodetection and flow cytometry used to validate these putative fertility markers in a combined cohort of 154 AI sires. Both ODF2 and PAWP correlated significantly with fertility. In conclusion, ODF2 and PAWP can be used to assess semen quality and predict sire fertility.

Indexed as

BiomarkersFertilitySemen AnalysisSpermatozoaAnimalsCattleMaleBiomarkersFertilizationMale fertilityProteomicsSpermSystems biology

Identifiers

PMID34762184
OpenAlexW3214248097

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.