Browsing by Subject "Artificial insemination"

Now showing 1 - 4 of 4
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    Metabolomic fingerprinting of pig seminal plasma identifies in vivo fertility biomarkers
    (BMC, 2021-11-12) MateoOtero, Yentel; Fernández López, Pol; Delgado Bermúdez, Ariadna; Nolis, Pau; Roca, Jordi; Miró, Jordi; Barranco, Isabel; Yeste, Marc; Medicina y Cirugía Animal
    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.
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    Oxytocin in pig seminal plasma is positively related with in vivo fertility of inseminated sows
    (BMC, 2021-09-13) Padilla, Lorena; López Arjona, Marina; Martínez Subiela, Silvia; Rodríguez Martínez, Heriberto; Roca, Jordi; Barranco, Isabel; Medicina y Cirugía Animal
    Background: identification of relevant in vivo biomarkers for fertility remains a challenge for the livestock industry. Concentrations of the small peptide hormone oxytocin (OXT), involved in male reproductive function and present in the seminal plasma (SP) of several species could be a robust one. This study characterized concentrations of SP-OXT in ejaculates from boars used in artificial insemination (AI) programs aiming to evaluate its relationship with sperm quality variables and in vivo fertility of their liquid-stored AI-semen. Seminal OXT concentrations (ng/mL) were measured in 169 ejaculates from 61 boars of the Duroc, Pietrain, Landrace and Large White breeds using a direct competitive immunoassay test based on AlphaLISA® technology. Ejaculate (ejaculate volume, sperm concentration, total sperm count) and sperm parameters (motility, viability, intracellular generation of reactive oxygen species, plasma membrane fluidity) were assessed at 0 h and 72 h in AI-semen samples stored at 17 °C. In vivo fertility included only 18 Large White and Landrace boars whose AI-semen was used to inseminated > 100 sows and evaluated both farrowing rate and litter size of 3,167 sows. Results: The results showed that SP-OXT differed between boars and between ejaculates within boar (P < 0.05) but not between breeds (Duroc, Pietrain, Landrace and Large White). Ejaculates with higher SP-OXT concentration/mL (hierarchically grouped; P < 0.001) had larger volume and came from younger boars (P < 0.05). Ejaculates of boars showing positive farrowing rate deviation exhibited higher (P < 0.05) SP-OXT concentration/mL than those with negative farrowing rate deviation. Conclusion: The SP concentrations of OXT are boar, ejaculate and age dependent, and positively related with ejaculate volume and farrowing rates of liquid-stored semen AI-doses.
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    Seminal plasma anti-müllerian hormone: a potential AI-boar fertility biomarker?
    (MDPI, 2020-04-10) Barranco Cascales, Isabel; Fernández Fuertes, Beatriz; Padilla, Lorena; Delgado-Bermúdez, Ariadna; Tvarijonaviciute, Asta; Yeste, Marc; Medicina y Cirugía Animal; Facultad de Veterinaria
    The anti-Müllerian hormone (AMH), a Sertoli cell-secreted glycoprotein that is present in seminal plasma (SP), is considered as a marker of spermatogenesis in humans. This study aimed to evaluate the presence of this hormone in boar SP, together with its putative relationship with sperm quality, function, and in vivo fertility parameters in liquid-stored semen samples. The concentration of SP-AMH was assessed in 126 ejaculates from artificial insemination (AI)-boars (n = 92) while using a commercial Enzyme-Linked ImmunoSorbent Assay (ELISA) kit with monoclonal antibodies specific for Sus scrofa AMH (CEA228Po, Cloud-clone). Sperm quality (concentration, motility, viability, and acrosome damage) and functionality (membrane lipid disorder and intracellular H2O2 generation) were assessed in semen samples at 0 and 72 h of liquid-storage. In addition, fertility parameters from 3113 sows inseminated with the AI-boars were recorded in terms of farrowing rate, litter size, number of stillbirths per litter, and the duration of pregnancy over a 12-month period. The results revealed that the SP-AMH concentration varied widely among boar ejaculates, with no differences among breeds. Moreover, the SP-AMH concentration proved to be a good predictive biomarker for sperm concentration (p ˂ 0.05), but poor for other sperm quality, functionality, and in vivo fertility parameters of liquid-stored semen samples from AI-boars.
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    Sperm methylome profiling can discern fertility levels in the porcine biomedical model
    (MDPI, 2021-03-06) Pértille, Fabio; Álvarez Rodríguez, Manuel; Da Silva, Arthur Nery; Barranco, Isabel; Roca, Jordi; Guerrero Bosagna, Carlos; Rodríguez Martínez, Heriberto; Medicina y Cirugía Animal
    A combined Genotyping By Sequencing (GBS) and methylated DNA immunoprecipitation (MeDIP) protocol was used to identify-in parallel-genetic variation (Genomic-Wide Association Studies (GWAS) and epigenetic differences of Differentially Methylated Regions (DMR) in the genome of spermatozoa from the porcine animal model. Breeding boars with good semen quality (n = 11) and specific and well-documented differences in fertility (farrowing rate, FR) and prolificacy (litter size, LS) (n = 7) in artificial insemination programs, using combined FR and LS, were categorized as High Fertile (HF, n = 4) or Low Fertile (LF, n = 3), and boars with Unknown Fertility (UF, n = 4) were tested for eventual epigenetical similarity with those fertility-proven. We identified 165,944 Single Nucleotide Polymorphisms (SNPs) that explained 14-15% of variance among selection lines. Between HF and LF individuals (n = 7, 4 HF and 3 LF), we identified 169 SNPs with p ≤ 0.00015, which explained 58% of the variance. For the epigenetic analyses, we considered fertility and period of ejaculate collection (late-summer and mid-autumn). Approximately three times more DMRs were observed in HF than in LF boars across these periods. Interestingly, UF boars were clearly clustered with one of the other HF or LF groups. The highest differences in DMRs between HF and LF experimental groups across the pig genome were located in the chr 3, 9, 13, and 16, with most DMRs being hypermethylated in LF boars. In both HF and LF boars, DMRs were mostly hypermethylated in late-summer compared to mid-autumn. Three overlaps were detected between SNPs (p ≤ 0.0005, n = 1318) and CpG sites within DMRs. In conclusion, fertility levels in breeding males including FR and LS can be discerned using methylome analyses. The findings in this biomedical animal model ought to be applied besides sire selection for andrological diagnosis of idiopathic sub/infertility.