Your browser doesn't support javascript.
loading
Metabolites Secreted by Bovine Embryos In Vitro Predict Pregnancies That the Recipient Plasma Metabolome Cannot, and Vice Versa.
Gomez, Enrique; Canela, Nuria; Herrero, Pol; Cereto, Adrià; Gimeno, Isabel; Carrocera, Susana; Martin-Gonzalez, David; Murillo, Antonio; Muñoz, Marta.
Affiliation
  • Gomez E; Centro de Biotecnología Animal, Servicio Regional de Investigación y Desarrollo Agroalimentario, 33394 Gijon, Spain.
  • Canela N; Centre for Omic Sciences, Eurecat, Centre Tecnològic de Catalunya (Joint Unit Eurecat- Universitat Rovira i Virgili), Unique Scientific and Technical Infrastructure (ICTS), 43204 Reus, Spain.
  • Herrero P; Centre for Omic Sciences, Eurecat, Centre Tecnològic de Catalunya (Joint Unit Eurecat- Universitat Rovira i Virgili), Unique Scientific and Technical Infrastructure (ICTS), 43204 Reus, Spain.
  • Cereto A; Centre for Omic Sciences, Eurecat, Centre Tecnològic de Catalunya (Joint Unit Eurecat- Universitat Rovira i Virgili), Unique Scientific and Technical Infrastructure (ICTS), 43204 Reus, Spain.
  • Gimeno I; Centro de Biotecnología Animal, Servicio Regional de Investigación y Desarrollo Agroalimentario, 33394 Gijon, Spain.
  • Carrocera S; Centro de Biotecnología Animal, Servicio Regional de Investigación y Desarrollo Agroalimentario, 33394 Gijon, Spain.
  • Martin-Gonzalez D; Centro de Biotecnología Animal, Servicio Regional de Investigación y Desarrollo Agroalimentario, 33394 Gijon, Spain.
  • Murillo A; Centro de Biotecnología Animal, Servicio Regional de Investigación y Desarrollo Agroalimentario, 33394 Gijon, Spain.
  • Muñoz M; Carrera de Medicina Veterinaria, Facultad de Ciencias Pecuarias, Escuela Superior Politécnica de Chimborazo, Riobamba EC060150, Ecuador.
Metabolites ; 11(3)2021 Mar 11.
Article in En | MEDLINE | ID: mdl-33799889
ABSTRACT
This work describes the use of mass spectrometry-based metabolomics as a non-invasive approach to accurately predict birth prior to embryo transfer (ET) starting from embryo culture media and plasma recipient. Metabolomics was used here as a predictive platform. Day-6 in vitro produced embryos developed singly in modified synthetic oviduct fluid culture medium (CM) drops for 24 h were vitrified as Day-7 blastocysts and transferred to recipients. Day-0 and Day-7 recipient plasma (N = 36 × 2) and CM (N = 36) were analyzed by gas chromatography coupled to the quadrupole time of flight mass spectrometry (GC-qTOF). Metabolites quantified in CM and plasma were analyzed as a function to predict pregnancy at Day-40, Day-62, and birth (univariate and multivariate statistics). Subsequently, a Boolean matrix (F1 score) was constructed with metabolite pairs (one from the embryo, and one from the recipient) to combine the predictive power of embryos and recipients. Validation was performed in independent cohorts of ETs analyzed. Embryos that did not reach birth released more stearic acid, capric acid, palmitic acid, and glyceryl monostearate in CM (i.e., (p < 0.05, FDR < 0.05, Receiver Operator Characteristic-area under curve (ROC-AUC) > 0.669)). Within Holstein recipients, hydrocinnamic acid, alanine, and lysine predicted birth (ROC-AUC > 0.778). Asturiana de los Valles recipients that reached birth showed lower concentrations of 6-methyl-5-hepten-2-one, stearic acid, palmitic acid, and hippuric acid (ROC-AUC > 0.832). Embryonal capric acid and glyceryl-monostearate formed F1 scores generally >0.900, with metabolites found both to differ (e.g., hippuric acid, hydrocinnamic acid) or not (e.g., heptadecanoic acid, citric acid) with pregnancy in plasmas, as hypothesized. Efficient lipid metabolism in the embryo and the recipient can allow pregnancy to proceed. Changes in phenolics from plasma suggest that microbiota and liver metabolism influence the pregnancy establishment in cattle.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Metabolites Year: 2021 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Metabolites Year: 2021 Document type: Article