Evidence map›Paper›PMID 26348888›Full record

ArticleScientific reports2015

Proteomic approaches for profiling negative fertility markers in inferior boar spermatozoa.

Woo-Sung Kwon, Shin-Ae Oh, Ye-Ji Kim, Md Saidur Rahman, Yoo-Jin Park, Myung-Geol Pang

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed
10.5field-weighted citation impact, top 2% 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

38 citing papers in PubMed, 89 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Proteostasis as a Sentry for Sperm Quality and Male Fertility.Advances in experimental medicine and biology · 2025
    Review
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Current markers for infertility in men.JBRA assisted reproduction · 2021
    Article
  18. Review
  19. Review
  20. 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

6 authors at 1 institution in 1 country.

Woo-Sung KwonDepartment of Animal Science and Technology, Chung-Ang University, Anseong, Gyeonggi-do 456-756, Korea.
Shin-Ae OhDepartment of Animal Science and Technology, Chung-Ang University, Anseong, Gyeonggi-do 456-756, Korea.
Ye-Ji KimDepartment of Animal Science and Technology, Chung-Ang University, Anseong, Gyeonggi-do 456-756, Korea.
Md Saidur RahmanDepartment of Animal Science and Technology, Chung-Ang University, Anseong, Gyeonggi-do 456-756, Korea.
Yoo-Jin ParkDepartment of Animal Science and Technology, Chung-Ang University, Anseong, Gyeonggi-do 456-756, Korea.
Myung-Geol PangDepartment of Animal Science and Technology, Chung-Ang University, Anseong, Gyeonggi-do 456-756, Korea.
Chung-Ang University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The ability to predict male fertility is of paramount importance for animal breeding industries and for human reproduction. Conventional semen analysis generally provides information on the quantitative parameters of spermatozoa, but yields no information concerning its functional competence. Proteomics have identified candidates for male fertility biomarkers, but no studies have clearly identified the relationship between the proteome and sperm fertility. Therefore, we performed a proteomic analysis to investigate small and large litter size boar spermatozoa and identify proteins related to male fertility. In this study, 20 proteins showed differential expression levels in small and large litter size groups. Nineteen of these proteins exhibited decreased expression in large litter size samples and increased expression in the small litter group. Interestingly, only one protein was highly expressed in the large litter size spermatozoa. We then identified signaling pathways associated with the differentially expressed protein markers. Glutathione S-transferase Mu3 and glutathione peroxidase 4 were related to the glutathione metabolic pathway and arginine vasopressin receptor 2 was linked to vasopressin R2/STAT. In summary, this is the first study to consider negative fertility biomarkers, and the identified proteins could potentially be used as biomarkers for the detection of inferior male fertility.

Indexed as

FertilityProteomeProteomicsAnimalsBiomarkersGlutathione PeroxidaseMalePhospholipid Hydroperoxide Glutathione PeroxidaseProtein TransportReceptors, VasopressinSignal TransductionSpermatozoaSwineBiomarkersGlutathione PeroxidasePhospholipid Hydroperoxide Glutathione PeroxidaseProteomeReceptors, Vasopressin

Identifiers

PMID26348888
PMCPMC4562270
OpenAlexW2409225279

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.