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Quantitative proteomic analysis of sperm in unexplained recurrent pregnancy loss

BACKGROUND: Recurrent pregnancy loss (RPL) refers to two or more spontaneous abortions that occur consecutively with the same spouse. RPL severely affects human reproduction health, and causes extreme physical and mental suffering to patients and their families. METHODS: We used isobaric tags for re...

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Autores principales: Xue, Dena, Zhang, Yi, Wang, Yixin, Wang, Jun, An, Fengxiao, Sun, Xiaowei, Yu, Zhenhai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6617596/
https://www.ncbi.nlm.nih.gov/pubmed/31288842
http://dx.doi.org/10.1186/s12958-019-0496-5
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author Xue, Dena
Zhang, Yi
Wang, Yixin
Wang, Jun
An, Fengxiao
Sun, Xiaowei
Yu, Zhenhai
author_facet Xue, Dena
Zhang, Yi
Wang, Yixin
Wang, Jun
An, Fengxiao
Sun, Xiaowei
Yu, Zhenhai
author_sort Xue, Dena
collection PubMed
description BACKGROUND: Recurrent pregnancy loss (RPL) refers to two or more spontaneous abortions that occur consecutively with the same spouse. RPL severely affects human reproduction health, and causes extreme physical and mental suffering to patients and their families. METHODS: We used isobaric tags for relative and absolute quantitation (iTRAQ), which was coupled with liquid chromatography mass spectrometry (LC-MS) proteomic analysis, in order to identify differentially expressed proteins. Moreover, we used western blot to analyze differentially expressed proteins. RESULTS: Of the 2350 non-redundant proteins identified, 38 proteins were significantly altered and were identified as potential biomarkers for RPL. The protein-protein interaction network constructed using GeneMANIA revealed that 35.55% displayed similar co-expression, 30.87% were predicted, and 20.95% had physical interaction characteristics. Based on Gene ontology classification and KEGG pathway enrichment analyses, the majority of these differentially expressed proteins were found to be related to biological regulation, metabolic and cellular processes, protein binding and different enzymes activities, as well as disorder of fat and glucose metabolic pathways. It is noteworthy that three metabolism related biomarkers (HK1, ACLY, and FASN) were further confirmed through western blot analysis. CONCLUSIONS: These results suggest that these differentially expressed proteins may be used as biomarkers for RPL, and related signaling pathways may play crucial roles in male induced RPL. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12958-019-0496-5) contains supplementary material, which is available to authorized users.
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spelling pubmed-66175962019-07-18 Quantitative proteomic analysis of sperm in unexplained recurrent pregnancy loss Xue, Dena Zhang, Yi Wang, Yixin Wang, Jun An, Fengxiao Sun, Xiaowei Yu, Zhenhai Reprod Biol Endocrinol Research BACKGROUND: Recurrent pregnancy loss (RPL) refers to two or more spontaneous abortions that occur consecutively with the same spouse. RPL severely affects human reproduction health, and causes extreme physical and mental suffering to patients and their families. METHODS: We used isobaric tags for relative and absolute quantitation (iTRAQ), which was coupled with liquid chromatography mass spectrometry (LC-MS) proteomic analysis, in order to identify differentially expressed proteins. Moreover, we used western blot to analyze differentially expressed proteins. RESULTS: Of the 2350 non-redundant proteins identified, 38 proteins were significantly altered and were identified as potential biomarkers for RPL. The protein-protein interaction network constructed using GeneMANIA revealed that 35.55% displayed similar co-expression, 30.87% were predicted, and 20.95% had physical interaction characteristics. Based on Gene ontology classification and KEGG pathway enrichment analyses, the majority of these differentially expressed proteins were found to be related to biological regulation, metabolic and cellular processes, protein binding and different enzymes activities, as well as disorder of fat and glucose metabolic pathways. It is noteworthy that three metabolism related biomarkers (HK1, ACLY, and FASN) were further confirmed through western blot analysis. CONCLUSIONS: These results suggest that these differentially expressed proteins may be used as biomarkers for RPL, and related signaling pathways may play crucial roles in male induced RPL. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12958-019-0496-5) contains supplementary material, which is available to authorized users. BioMed Central 2019-07-09 /pmc/articles/PMC6617596/ /pubmed/31288842 http://dx.doi.org/10.1186/s12958-019-0496-5 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Xue, Dena
Zhang, Yi
Wang, Yixin
Wang, Jun
An, Fengxiao
Sun, Xiaowei
Yu, Zhenhai
Quantitative proteomic analysis of sperm in unexplained recurrent pregnancy loss
title Quantitative proteomic analysis of sperm in unexplained recurrent pregnancy loss
title_full Quantitative proteomic analysis of sperm in unexplained recurrent pregnancy loss
title_fullStr Quantitative proteomic analysis of sperm in unexplained recurrent pregnancy loss
title_full_unstemmed Quantitative proteomic analysis of sperm in unexplained recurrent pregnancy loss
title_short Quantitative proteomic analysis of sperm in unexplained recurrent pregnancy loss
title_sort quantitative proteomic analysis of sperm in unexplained recurrent pregnancy loss
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6617596/
https://www.ncbi.nlm.nih.gov/pubmed/31288842
http://dx.doi.org/10.1186/s12958-019-0496-5
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