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Proteomic approaches for profiling negative fertility markers in inferior boar spermatozoa

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. Proteo...

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Autores principales: Kwon, Woo-Sung, Oh, Shin-Ae, Kim, Ye-Ji, Rahman, Md Saidur, Park, Yoo-Jin, Pang, Myung-Geol
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4562270/
https://www.ncbi.nlm.nih.gov/pubmed/26348888
http://dx.doi.org/10.1038/srep13821
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author Kwon, Woo-Sung
Oh, Shin-Ae
Kim, Ye-Ji
Rahman, Md Saidur
Park, Yoo-Jin
Pang, Myung-Geol
author_facet Kwon, Woo-Sung
Oh, Shin-Ae
Kim, Ye-Ji
Rahman, Md Saidur
Park, Yoo-Jin
Pang, Myung-Geol
author_sort Kwon, Woo-Sung
collection PubMed
description 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.
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spelling pubmed-45622702015-09-15 Proteomic approaches for profiling negative fertility markers in inferior boar spermatozoa Kwon, Woo-Sung Oh, Shin-Ae Kim, Ye-Ji Rahman, Md Saidur Park, Yoo-Jin Pang, Myung-Geol Sci Rep Article 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. Nature Publishing Group 2015-09-08 /pmc/articles/PMC4562270/ /pubmed/26348888 http://dx.doi.org/10.1038/srep13821 Text en Copyright © 2015, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Kwon, Woo-Sung
Oh, Shin-Ae
Kim, Ye-Ji
Rahman, Md Saidur
Park, Yoo-Jin
Pang, Myung-Geol
Proteomic approaches for profiling negative fertility markers in inferior boar spermatozoa
title Proteomic approaches for profiling negative fertility markers in inferior boar spermatozoa
title_full Proteomic approaches for profiling negative fertility markers in inferior boar spermatozoa
title_fullStr Proteomic approaches for profiling negative fertility markers in inferior boar spermatozoa
title_full_unstemmed Proteomic approaches for profiling negative fertility markers in inferior boar spermatozoa
title_short Proteomic approaches for profiling negative fertility markers in inferior boar spermatozoa
title_sort proteomic approaches for profiling negative fertility markers in inferior boar spermatozoa
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4562270/
https://www.ncbi.nlm.nih.gov/pubmed/26348888
http://dx.doi.org/10.1038/srep13821
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