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PMID: 28390187 Published · ppublish English Journal Article Review

Prediction of male fertility using capacitation-associated proteins in spermatozoa.

Molecular reproduction and development ·Vol. 84 ·No. 9 ·2017-09-00 ·Pages 749-759

Rahman MS, Kwon WS, Pang MG

Abstract

Infertility and subfertility account for huge economic losses in the animal industry; indeed, 50% of animal breeding failure is associated with male infertility. Approximately 70% of cattle and 90% of pig livestock are currently produced by artificial insemination. Therefore, breeding-male selection is extremely important for the genetic benefits of progeny. Although conventional semen analysis provides an initial measure of male fertility, its clinical value is questionable. Proteomics approaches recently identified candidate protein markers in spermatozoa for evaluating male fertility. Fertility-related proteins in capacitated boar spermatozoa were shown to predict boar fertility more precisely then those detected in ejaculated spermatozoa, which motivated the development of more accurate and sensitive tools for the assessment of male fertility in relation to sperm function and fertilization. Although protein markers in spermatozoa are capable of discriminating fertile and infertile males, clinical trials are required to validate their predictive utility. This review outlines recent findings regarding the capacitation-related proteome of spermatozoa, and discusses how these proteins may be utilized to better understand the fertility of domestic animals.

Keywords
biomarkers capacitation-associated proteins male fertility proteomics spermatozoa
MeSH Terms
Animals Cattle Fertility/physiology Male Sperm Capacitation/physiology Spermatozoa/cytology,metabolism Swine
Authors & Affiliations
3 authors, click to expand affiliations / ORCID
Rahman Md Saidur
Department of Animal Science and Technology, Chung-Ang University, Anseong, Republic of Korea.
Kwon Woo-Sung
Department of Animal Science and Technology, Chung-Ang University, Anseong, Republic of Korea.
Pang Myung-Geol ORCID
Department of Animal Science and Technology, Chung-Ang University, Anseong, Republic of Korea.
Article Info
Journal
Molecular reproduction and development
Abbr.
Mol Reprod Dev
ISSN
1098-2795
Published
2017-09-00
Epub
2017-00-08
Pages
749-759
Language
English
Region
United States
NLM ID
8903333
Subset
IM
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