Metabolomic fingerprinting of pig seminal plasma identifies in vivo fertility biomarkers

Abstract Background Metabolomic approaches, which include the study of low molecular weight molecules, are an emerging -omics technology useful for identification of biomarkers. In this field, nuclear magnetic resonance (NMR) spectroscopy has already been used to uncover (in) fertility biomarkers in...

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Autores principales:	Yentel Mateo-Otero, Pol Fernández-López, Ariadna Delgado-Bermúdez, Pau Nolis, Jordi Roca, Jordi Miró, Isabel Barranco, Marc Yeste
Formato:	article
Lenguaje:	EN
Publicado:	BMC 2021
Materias:	Artificial insemination in vivo fertility Metabolomics NMR Pregnancy outcomes Seminal plasma Animal culture SF1-1100 Veterinary medicine SF600-1100
Acceso en línea:	https://doaj.org/article/cea186dafc834f16ae0123c4dfc2f77e
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spelling	oai:doaj.org-article:cea186dafc834f16ae0123c4dfc2f77e2021-11-14T12:33:13ZMetabolomic fingerprinting of pig seminal plasma identifies in vivo fertility biomarkers10.1186/s40104-021-00636-52049-1891https://doaj.org/article/cea186dafc834f16ae0123c4dfc2f77e2021-11-01T00:00:00Zhttps://doi.org/10.1186/s40104-021-00636-5https://doaj.org/toc/2049-1891Abstract Background Metabolomic approaches, which include the study of low molecular weight molecules, are an emerging -omics technology useful for identification of biomarkers. In this field, nuclear magnetic resonance (NMR) spectroscopy has already been used to uncover (in) fertility biomarkers in the seminal plasma (SP) of several mammalian species. However, NMR studies profiling the porcine SP metabolome to uncover in vivo fertility biomarkers are yet to be carried out. Thus, this study aimed to evaluate the putative relationship between SP-metabolites and in vivo fertility outcomes. To this end, 24 entire ejaculates (three ejaculates per boar) were collected from artificial insemination (AI)-boars throughout a year (one ejaculate every 4 months). Immediately after collection, ejaculates were centrifuged to obtain SP-samples, which were stored for subsequent metabolomic analysis by NMR spectroscopy. Fertility outcomes from 1525 inseminations were recorded over a year, including farrowing rate, litter size, stillbirths per litter and the duration of pregnancy. Results A total of 24 metabolites were identified and quantified in all SP-samples. Receiver operating characteristic (ROC) curve analysis showed that lactate levels in SP had discriminative capacity for farrowing rate (area under the curve [AUC] = 0.764) while carnitine (AUC = 0.847), hypotaurine (AUC = 0.819), sn-glycero-3-phosphocholine (AUC = 0.833), glutamate (AUC = 0.799) and glucose (AUC = 0.750) showed it for litter size. Similarly, citrate (AUC = 0.743), creatine (AUC = 0.812), phenylalanine (AUC = 0.750), tyrosine (AUC = 0.753) and malonate (AUC = 0.868) levels had discriminative capacity for stillbirths per litter; and malonate (AUC = 0.767) and fumarate (AUC = 0.868) levels for gestation length. Conclusions The assessment of selected SP-metabolites in ejaculates through NMR spectroscopy could be considered as a promising non-invasive tool to predict in vivo fertility outcomes in pigs. Moreover, supplementing AI-doses with specific metabolites should also be envisaged as a way to improve their fertility potential.Yentel Mateo-OteroPol Fernández-LópezAriadna Delgado-BermúdezPau NolisJordi RocaJordi MiróIsabel BarrancoMarc YesteBMCarticleArtificial inseminationin vivo fertilityMetabolomicsNMRPregnancy outcomesSeminal plasmaAnimal cultureSF1-1100Veterinary medicineSF600-1100ENJournal of Animal Science and Biotechnology, Vol 12, Iss 1, Pp 1-15 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Artificial insemination in vivo fertility Metabolomics NMR Pregnancy outcomes Seminal plasma Animal culture SF1-1100 Veterinary medicine SF600-1100
spellingShingle	Artificial insemination in vivo fertility Metabolomics NMR Pregnancy outcomes Seminal plasma Animal culture SF1-1100 Veterinary medicine SF600-1100 Yentel Mateo-Otero Pol Fernández-López Ariadna Delgado-Bermúdez Pau Nolis Jordi Roca Jordi Miró Isabel Barranco Marc Yeste Metabolomic fingerprinting of pig seminal plasma identifies in vivo fertility biomarkers
description	Abstract Background Metabolomic approaches, which include the study of low molecular weight molecules, are an emerging -omics technology useful for identification of biomarkers. In this field, nuclear magnetic resonance (NMR) spectroscopy has already been used to uncover (in) fertility biomarkers in the seminal plasma (SP) of several mammalian species. However, NMR studies profiling the porcine SP metabolome to uncover in vivo fertility biomarkers are yet to be carried out. Thus, this study aimed to evaluate the putative relationship between SP-metabolites and in vivo fertility outcomes. To this end, 24 entire ejaculates (three ejaculates per boar) were collected from artificial insemination (AI)-boars throughout a year (one ejaculate every 4 months). Immediately after collection, ejaculates were centrifuged to obtain SP-samples, which were stored for subsequent metabolomic analysis by NMR spectroscopy. Fertility outcomes from 1525 inseminations were recorded over a year, including farrowing rate, litter size, stillbirths per litter and the duration of pregnancy. Results A total of 24 metabolites were identified and quantified in all SP-samples. Receiver operating characteristic (ROC) curve analysis showed that lactate levels in SP had discriminative capacity for farrowing rate (area under the curve [AUC] = 0.764) while carnitine (AUC = 0.847), hypotaurine (AUC = 0.819), sn-glycero-3-phosphocholine (AUC = 0.833), glutamate (AUC = 0.799) and glucose (AUC = 0.750) showed it for litter size. Similarly, citrate (AUC = 0.743), creatine (AUC = 0.812), phenylalanine (AUC = 0.750), tyrosine (AUC = 0.753) and malonate (AUC = 0.868) levels had discriminative capacity for stillbirths per litter; and malonate (AUC = 0.767) and fumarate (AUC = 0.868) levels for gestation length. Conclusions The assessment of selected SP-metabolites in ejaculates through NMR spectroscopy could be considered as a promising non-invasive tool to predict in vivo fertility outcomes in pigs. Moreover, supplementing AI-doses with specific metabolites should also be envisaged as a way to improve their fertility potential.
format	article
author	Yentel Mateo-Otero Pol Fernández-López Ariadna Delgado-Bermúdez Pau Nolis Jordi Roca Jordi Miró Isabel Barranco Marc Yeste
author_facet	Yentel Mateo-Otero Pol Fernández-López Ariadna Delgado-Bermúdez Pau Nolis Jordi Roca Jordi Miró Isabel Barranco Marc Yeste
author_sort	Yentel Mateo-Otero
title	Metabolomic fingerprinting of pig seminal plasma identifies in vivo fertility biomarkers
title_short	Metabolomic fingerprinting of pig seminal plasma identifies in vivo fertility biomarkers
title_full	Metabolomic fingerprinting of pig seminal plasma identifies in vivo fertility biomarkers
title_fullStr	Metabolomic fingerprinting of pig seminal plasma identifies in vivo fertility biomarkers
title_full_unstemmed	Metabolomic fingerprinting of pig seminal plasma identifies in vivo fertility biomarkers
title_sort	metabolomic fingerprinting of pig seminal plasma identifies in vivo fertility biomarkers
publisher	BMC
publishDate	2021
url	https://doaj.org/article/cea186dafc834f16ae0123c4dfc2f77e
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Metabolomic fingerprinting of pig seminal plasma identifies in vivo fertility biomarkers

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