Metabolomic fingerprinting of pig seminal plasma identifies in vivo fertility biomarkers
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...
| Autores: | , , , , , , , |
|---|---|
| Tipo de recurso: | artículo |
| Fecha de publicación: | 2021 |
| País: | España |
| Institución: | Universitat Autònoma de Barcelona |
| Repositorio: | Dipòsit Digital de Documents de la UAB |
| Idioma: | inglés |
| OAI Identifier: | oai:ddd.uab.cat:250518 |
| Acceso en línea: | https://ddd.uab.cat/record/250518 https://dx.doi.org/urn:doi:10.1186/s40104-021-00636-5 |
| Access Level: | acceso abierto |
| Palabra clave: | Artificial insemination In vivo fertility Metabolomics NMR Pregnancy outcomes Seminal plasma |
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Metabolomic fingerprinting of pig seminal plasma identifies in vivo fertility biomarkersMateo-Otero, Yentel|||0000-0002-5810-211XFernández-López, PolDelgado Bermudez, Ariadna|||0000-0001-5655-5003Nolis, Pau|||0000-0003-2360-1709Roca Aleu, JordiMiró, Jordi|||0000-0002-1085-0039Barranco, Isabel|||0000-0001-9873-814XYeste Oliveras, Marc|||0000-0002-2209-340XArtificial inseminationIn vivo fertilityMetabolomicsNMRPregnancy outcomesSeminal plasmaMetabolomic 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. 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. 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. The online version contains supplementary material available at 10.1186/s40104-021-00636-5. 22021-01-0120212021-01-01Articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://ddd.uab.cat/record/250518https://dx.doi.org/urn:doi:10.1186/s40104-021-00636-5reponame:Dipòsit Digital de Documents de la UABinstname:Universitat Autònoma de BarcelonaInglésengAgencia Estatal de Investigación https://doi.org/10.13039/501100011033 AGL2017-88329-RMinisterio de Ciencia, Innovación y Universidades https://doi.org/10.13039/100014440 FJCI-2017-31689Ministerio de Economía y Competitividad https://doi.org/10.13039/501100003329 RYC-2014-15581Agència de Gestió d'Ajuts Universitaris i de Recerca https://doi.org/10.13039/501100003030 2017/SGR-1229Agència de Gestió d'Ajuts Universitaris i de Recerca https://doi.org/10.13039/501100003030 2020-FI-B-00412open accesshttp://purl.org/coar/access_right/c_abf2Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original.https://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:ddd.uab.cat:2505182026-06-06T12:50:31Z |
| dc.title.none.fl_str_mv |
Metabolomic fingerprinting of pig seminal plasma identifies in vivo fertility biomarkers |
| title |
Metabolomic fingerprinting of pig seminal plasma identifies in vivo fertility biomarkers |
| spellingShingle |
Metabolomic fingerprinting of pig seminal plasma identifies in vivo fertility biomarkers Mateo-Otero, Yentel|||0000-0002-5810-211X Artificial insemination In vivo fertility Metabolomics NMR Pregnancy outcomes Seminal plasma |
| 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 |
| dc.creator.none.fl_str_mv |
Mateo-Otero, Yentel|||0000-0002-5810-211X Fernández-López, Pol Delgado Bermudez, Ariadna|||0000-0001-5655-5003 Nolis, Pau|||0000-0003-2360-1709 Roca Aleu, Jordi Miró, Jordi|||0000-0002-1085-0039 Barranco, Isabel|||0000-0001-9873-814X Yeste Oliveras, Marc|||0000-0002-2209-340X |
| author |
Mateo-Otero, Yentel|||0000-0002-5810-211X |
| author_facet |
Mateo-Otero, Yentel|||0000-0002-5810-211X Fernández-López, Pol Delgado Bermudez, Ariadna|||0000-0001-5655-5003 Nolis, Pau|||0000-0003-2360-1709 Roca Aleu, Jordi Miró, Jordi|||0000-0002-1085-0039 Barranco, Isabel|||0000-0001-9873-814X Yeste Oliveras, Marc|||0000-0002-2209-340X |
| author_role |
author |
| author2 |
Fernández-López, Pol Delgado Bermudez, Ariadna|||0000-0001-5655-5003 Nolis, Pau|||0000-0003-2360-1709 Roca Aleu, Jordi Miró, Jordi|||0000-0002-1085-0039 Barranco, Isabel|||0000-0001-9873-814X Yeste Oliveras, Marc|||0000-0002-2209-340X |
| author2_role |
author author author author author author author |
| dc.subject.none.fl_str_mv |
Artificial insemination In vivo fertility Metabolomics NMR Pregnancy outcomes Seminal plasma |
| topic |
Artificial insemination In vivo fertility Metabolomics NMR Pregnancy outcomes Seminal plasma |
| description |
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. 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. 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. The online version contains supplementary material available at 10.1186/s40104-021-00636-5. |
| publishDate |
2021 |
| dc.date.none.fl_str_mv |
2 2021-01-01 2021 2021-01-01 |
| dc.type.none.fl_str_mv |
Article http://purl.org/coar/resource_type/c_6501 VoR http://purl.org/coar/version/c_970fb48d4fbd8a85 |
| dc.type.openaire.fl_str_mv |
info:eu-repo/semantics/article |
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article |
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https://ddd.uab.cat/record/250518 https://dx.doi.org/urn:doi:10.1186/s40104-021-00636-5 |
| url |
https://ddd.uab.cat/record/250518 https://dx.doi.org/urn:doi:10.1186/s40104-021-00636-5 |
| dc.language.none.fl_str_mv |
Inglés eng |
| language_invalid_str_mv |
Inglés |
| language |
eng |
| dc.relation.none.fl_str_mv |
Agencia Estatal de Investigación https://doi.org/10.13039/501100011033 AGL2017-88329-R Ministerio de Ciencia, Innovación y Universidades https://doi.org/10.13039/100014440 FJCI-2017-31689 Ministerio de Economía y Competitividad https://doi.org/10.13039/501100003329 RYC-2014-15581 Agència de Gestió d'Ajuts Universitaris i de Recerca https://doi.org/10.13039/501100003030 2017/SGR-1229 Agència de Gestió d'Ajuts Universitaris i de Recerca https://doi.org/10.13039/501100003030 2020-FI-B-00412 |
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open access http://purl.org/coar/access_right/c_abf2 https://creativecommons.org/licenses/by/4.0/ |
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info:eu-repo/semantics/openAccess |
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open access http://purl.org/coar/access_right/c_abf2 https://creativecommons.org/licenses/by/4.0/ |
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openAccess |
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application/pdf |
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reponame:Dipòsit Digital de Documents de la UAB instname:Universitat Autònoma de Barcelona |
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