Literature DB >> 25256566

Nuclear magnetic resonance metabolomic profiling of Day 3 and 5 embryo culture medium does not predict pregnancy outcome in good prognosis patients: a prospective cohort study on single transferred embryos.

K Kirkegaard1, A S P Svane2, J S Nielsen2, J J Hindkjær3, N C Nielsen2, H J Ingerslev3.   

Abstract

STUDY QUESTION: Does the metabolomic profile, obtained with nuclear magnetic resonance (NMR), of spent culture media from human embryos correlate with reproductive potential in a cohort of good prognosis patients? SUMMARY ANSWER: In a large cohort of single transferred blastocysts from a homogeneous group of good prognosis patients, we find a high degree of individual variation in the metabolome that, however, has no relation to pregnancy outcome. WHAT IS KNOWN ALREADY: Differences among various specific metabolites have been linked to reproductive potential. Although results from retrospective near infrared (NIR) spectroscopy analyses of spent culture medias from transferred embryos were promising, randomized controlled trials were unable to demonstrate that NIR analysis improved pregnancy rates. Therefore, a more detailed investigation of the relation between embryo metabolism and reproductive potential is required. NMR is a powerful technique that provides detailed structural and dynamic information. STUDY DESIGN, SIZE, DURATION: A prospective cohort study was conducted at the Fertility Clinic, Aarhus University Hospital between February 2011 and July 2012. Infertile patients aged <38 years without endometriosis were offered participation and their embryos were included if greater than or equal to eight oocytes were retrieved. In total, 161 infertile patients were included in the cohort. PARTICIPANTS/MATERIALS, SETTING,
METHODS: Spent culture media was collected on Days 3 and 5 after oocyte retrieval from 148 single transferred embryos. NMR spectra were obtained from 12 µl of spent media. Data were quantitatively analysed using multivariate analysis with respect to pregnancy outcome, defined as a live fetus by ultrasound in gestational Week 8, along with patient and treatment related variables such as embryo score, age, BMI, fertilization method and cause of infertility. MAIN RESULTS AND THE ROLE OF CHANCE: A total of 148 cycles were included in the analysis [embryo transfer cancelled (n = 12), no media collected (n = 1)]. Clinical pregnancy was confirmed in 47 patients (32%). We obtained high quality NMR spectra for 141 Day 3 and 137 Day 5 samples. Our spectra show a high degree of individual variation. Multivariate data analysis was performed on spectral data with several different pre-processing combinations, i.e. binning, alignment, normalization and scaling in the attempt to develop a valid prediction model. Different strategies of multivariate analysis showed, however, no correlation between the NMR profiles and pregnancy outcome, patient or treatment characteristics. No model could therefore be developed for prediction of pregnancy outcome. We conclude that within this group of good prognosis patients, large-scale metabolic variations between embryos detected with NMR have no apparent association with pregnancy outcome. LIMITATIONS, REASONS FOR CAUTION: Although this study is the largest we know of using NMR to investigate metabolomic profiles of single-transferred embryos, there may be differences that would be detected with a larger study. When analysing such a small sample volume, even small variations in the amount of media and dilution may introduce a large uncertainty in the results. WIDER IMPLICATIONS OF THE
FINDINGS: Our study questions the usefulness of the entire metabolome for embryo selection, which should direct the search for viability markers in the culture media towards individual components. STUDY FUNDING/COMPETING INTERESTS: Funding was provided by Aarhus University, the Lippert Foundation, the Toyota Foundation, the Aase og Einar Danielsen foundation. Research at the Fertility Clinic, Aarhus Universtity Hospital is supported by an unrestricted grant from MSD and Ferring. The authors declare no competing interest. TRIAL REGISTRATION NUMBER: NCT01139268.
© The Author 2014. Published by Oxford University Press on behalf of the European Society of Human Reproduction and Embryology. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

Entities:  

Keywords:  assisted reproduction; embryo selection; human; nuclear magnetic resonance; pregnancy

Mesh:

Substances:

Year:  2014        PMID: 25256566     DOI: 10.1093/humrep/deu236

Source DB:  PubMed          Journal:  Hum Reprod        ISSN: 0268-1161            Impact factor:   6.918


  12 in total

1.  NMR metabolic profiling of follicular fluid for investigating the different causes of female infertility: a pilot study.

Authors:  Maria Antonietta Castiglione Morelli; Assunta Iuliano; Sergio Crescenzo Antonio Schettini; Donatina Petruzzi; Angela Ferri; Paola Colucci; Licia Viggiani; Flavia Cuviello; Angela Ostuni
Journal:  Metabolomics       Date:  2019-01-29       Impact factor: 4.290

2.  Comprehensive analysis of soluble RNAs in human embryo culture media and blastocoel fluid.

Authors:  Kirstine Kirkegaard; Yan Yan; Boe S Sørensen; Thorir Hardarson; Charles Hanson; Hans J Ingerslev; Ulla Breth Knudsen; Jørgen Kjems; Kersti Lundin; Aisling Ahlström
Journal:  J Assist Reprod Genet       Date:  2020-07-17       Impact factor: 3.412

3.  Effectiveness of near-infrared spectroscopy as a non-invasive tool to discriminate spectral profiles of in vitro cultured oocytes from goats.

Authors:  Denilsa Pires Fernandes; Rafael Rossetto; Assis Rubens Montenegro; César Carneiro Linhares Fernandes; Pamela Angela Bravo; Maria Eugenia Moreno; Camila Muniz Cavalcanti; Guilherme Araújo Kubota; Davide Rondina
Journal:  Anim Reprod       Date:  2021-12-10       Impact factor: 1.807

4.  Combining Machine Learning with Metabolomic and Embryologic Data Improves Embryo Implantation Prediction.

Authors:  Aswathi Cheredath; Shubhashree Uppangala; Asha C S; Ameya Jijo; Vani Lakshmi R; Pratap Kumar; David Joseph; Nagana Gowda G A; Guruprasad Kalthur; Satish Kumar Adiga
Journal:  Reprod Sci       Date:  2022-09-12       Impact factor: 2.924

Review 5.  Non-invasive methods for embryo selection.

Authors:  H N Sallam; N H Sallam; S H Sallam
Journal:  Facts Views Vis Obgyn       Date:  2016-06-27

6.  Unraveling the association between genetic integrity and metabolic activity in pre-implantation stage embryos.

Authors:  Fiona D'Souza; Shivanand M Pudakalakatti; Shubhashree Uppangala; Sachin Honguntikar; Sujith Raj Salian; Guruprasad Kalthur; Renu Pasricha; Divya Appajigowda; Hanudatta S Atreya; Satish Kumar Adiga
Journal:  Sci Rep       Date:  2016-11-17       Impact factor: 4.379

Review 7.  Metabolomics for improving pregnancy outcomes in women undergoing assisted reproductive technologies.

Authors:  Charalampos S Siristatidis; Eleni Sertedaki; Dennis Vaidakis; Christos Varounis; Marialena Trivella
Journal:  Cochrane Database Syst Rev       Date:  2018-03-16

Review 8.  The Impact of Biopsy on Human Embryo Developmental Potential during Preimplantation Genetic Diagnosis.

Authors:  Danilo Cimadomo; Antonio Capalbo; Filippo Maria Ubaldi; Catello Scarica; Antonio Palagiano; Rita Canipari; Laura Rienzi
Journal:  Biomed Res Int       Date:  2016-01-28       Impact factor: 3.411

9.  The Metabolomic Profile of Spent Culture Media from Day-3 Human Embryos Cultured under Low Oxygen Tension.

Authors:  Maria José de Los Santos; Pilar Gámiz; José María de Los Santos; Josep Lluís Romero; Nicolás Prados; Cristina Alonso; José Remohí; Francisco Dominguez
Journal:  PLoS One       Date:  2015-11-12       Impact factor: 3.240

10.  Timing of human preimplantation embryonic development is confounded by embryo origin.

Authors:  K Kirkegaard; L Sundvall; M Erlandsen; J J Hindkjær; U B Knudsen; H J Ingerslev
Journal:  Hum Reprod       Date:  2015-12-04       Impact factor: 6.918

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