机构地区:[1]Biotechnology of Animal and Human Reproduction(TechnoSperm),Institute of Food and Agricultural Technology,University of Girona,ES-17003 Girona,Spain [2]Department of Biology,Unit of Cell Biology,Faculty of Sciences,University of Girona,ES-17003 Girona,Spain [3]Centre d’Estudis Avançats de Blanes(CEAB),Spanish Research Council(CSIC),ES-17300 Girona,Spain [4]Magnetic Nuclear Resonance Facility,Autonomous University of Barcelona,Bellaterra,ES-08193 Cerdanyola del Vallès,Spain [5]Department of Animal Medicine and Surgery,Faculty of Veterinary Medicine,University of Murcia,ES-30100 Murcia,Spain [6]Equine Reproduction Service,Department of Animal Medicine and Surgery,Faculty of Veterinary Medicine,Autonomous University of Barcelona,Bellaterra,ES-08193 Cerdanyola del Vallès,Spain [7]Department of Veterinary Medical Sciences,University of Bologna,IT-40064 Ozzano dell’Emilia,Bologna,Italy
出 处:《Journal of Animal Science and Biotechnology》2022年第2期473-487,共15页畜牧与生物技术杂志(英文版)
基 金:The present study was funded by the Ministry of Science and Innovation,Spain(Grants:RYC-2014-15581,AGL2017–88329-R and FJCI-2017-31689);the Seneca Foundation Murcia,Spain(19892/GERM-15);the Regional Government of Catalonia(Grants:2017-SGR-1229 and 2020-FI-B-00412).
摘 要: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 SPmetabolites 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.
关 键 词:Artificial insemination in vivo fertility Metabolomics NMR Pregnancy outcomes Seminal plasma
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