Literature DB >> 31975599

Blood Plasma Metabolomics Predicts Pregnancy in Holstein Cattle Transferred with Fresh and Vitrified/Warmed Embryos Produced in Vitro.

Enrique Gómez1, Pascal Salvetti2, Julie Gatien2, Susana Carrocera1, David Martín-González1, Marta Muñoz1.   

Abstract

Metabolomics may identify biomarkers in blood that differentiate pregnant from open embryo recipients. Fresh and vitrified/warmed, in vitro-produced embryos were transferred to Holstein recipients (discovery group). Recipient blood plasma collected on Day-0 (estrus) and Day-7 (before embryo transfer) were analyzed by nuclear magnetic resonance (N = 36 metabolites quantified). Metabolites whose concentrations differed between open and pregnant recipients were analyzed [(P < 0.05); false discovery rate (FDR) (P < 0.05)]. Biomarkers were identified in Day-7 plasma (receiver operator characteristic-area under curve (ROC-AUC) > 0.650; t-test P < 0.05; random forests, mean decrease accuracy) and cross-validated in independent Holstein, beef, and crossbred recipients (overall classification accuracy -OCA-; P < 0.05). Recipients with fresh embryos showed N = 6 biomarkers consistently on Day-40, Day-62, and at birth. Recipients with vitrified embryos showed N = 5 biomarkers on Day-40 and Day-62 but only one biomarker at birth. The most predictive biomarkers identified at birth within fresh embryos were oxoglutaric acid (ROC-AUC = 0.709; OCA = 0.812) and ornithine (ROC-AUC = 0.731; OCA = 0.727), while l-glycine was identified in vitrified embryos (ROC-AUC = 0.796; OCA = 0.667) together with other predictive biomarkers not identified at birth (Day-62: l-glutamine ROC-AUC = 0.757; OCA = 0.767) and l-lysine (Day-62: ROC-AUC = 0.680; OCA = 0.767). Pathway enrichment analysis distinguished between pregnant recipients for fresh (enriched energy oxidative metabolism from fat) and vitrified (lower lipid metabolism) embryos. Metabolomics can select individuals that will become pregnant in a defined cycle.

Entities:  

Keywords:  2-oxoglutaric-acid; cow; embryo recipient; fertility; metabolomics; pregnancy; vitrification

Mesh:

Year:  2020        PMID: 31975599     DOI: 10.1021/acs.jproteome.9b00688

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  4 in total

1.  Non-Invasive Identification of Sex in Cultured Bovine Embryos by UHPLC-MS/MS Metabolomics.

Authors:  Isabel Gimeno; Pablo García-Manrique; Susana Carrocera; Cristina López-Hidalgo; Marta Muñoz; Luis Valledor; David Martín-González; Enrique Gómez
Journal:  Metabolomics       Date:  2022-07-16       Impact factor: 4.747

2.  Metabolites Secreted by Bovine Embryos In Vitro Predict Pregnancies That the Recipient Plasma Metabolome Cannot, and Vice Versa.

Authors:  Enrique Gomez; Nuria Canela; Pol Herrero; Adrià Cereto; Isabel Gimeno; Susana Carrocera; David Martin-Gonzalez; Antonio Murillo; Marta Muñoz
Journal:  Metabolites       Date:  2021-03-11

3.  Co-Expression Network and Integrative Analysis of Metabolome and Transcriptome Uncovers Biological Pathways for Fertility in Beef Heifers.

Authors:  Priyanka Banerjee; Soren P Rodning; Wellison J S Diniz; Paul W Dyce
Journal:  Metabolites       Date:  2022-07-29

4.  Machine Learning-Based Co-Expression Network Analysis Unravels Potential Fertility-Related Genes in Beef Cows.

Authors:  Wellison J S Diniz; Priyanka Banerjee; Soren P Rodning; Paul W Dyce
Journal:  Animals (Basel)       Date:  2022-10-09       Impact factor: 3.231

  4 in total

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