Literature DB >> 18424459

Metabolomic profiling by near-infrared spectroscopy as a tool to assess embryo viability: a novel, non-invasive method for embryo selection.

C G Vergouw1, L L Botros, P Roos, J W Lens, R Schats, P G A Hompes, D H Burns, C B Lambalk.   

Abstract

BACKGROUND: The morphology of an embryo has a limited predictive value for assessing viability and ongoing pregnancy, therefore new selection tools are needed to maintain success rates with single-embryo transfer (SET). In this study, we investigated if metabolomic profiling of biomarkers of embryo culture medium by near-infrared (NIR) spectroscopy has a correlation with ongoing pregnancy in SET.
METHODS: A total of 333 patients scheduled for in vitro fertilization (IVF) with SET were included in the study. Embryos were selected for transfer by morphological criteria on Days 2 and 3 of in vitro culture, and left over culture media samples were analyzed by NIR spectroscopy.
RESULTS: The NIR spectral analysis produced unique metabolomic profiles that correlated to an embryo's reproductive potential. Resulting relative viability scores between positive and negative pregnancy outcomes were statistically significant (P < 0.03). A logistic regression of factors correlated to pregnancy outcomes showed that maternal age, percent fragmentation and relative viability scores all demonstrated a relationship. The extent of the correlation was determined by accuracy computation, where the accuracy of assessing viable embryos on Day 3 by metabolomic profiling was 53.6% and the accuracy of the morphological selection was 38.5%. In addition, the positive predictive value of metabolomic profiling was 0.365 and the negative predictive value was 0.830.
CONCLUSIONS: NIR metabolomic profiling of spent embryo culture media was able to distinguish viable embryos from non-viable embryos for reproduction.

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Year:  2008        PMID: 18424459     DOI: 10.1093/humrep/den111

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


  36 in total

Review 1.  Dynamic changes in gene expression during human early embryo development: from fundamental aspects to clinical applications.

Authors:  Said Assou; Imène Boumela; Delphine Haouzi; Tal Anahory; Hervé Dechaud; John De Vos; Samir Hamamah
Journal:  Hum Reprod Update       Date:  2010-08-17       Impact factor: 15.610

2.  Receiver operating characteristic (ROC) analysis of day 5 morphology grading and metabolomic Viability Score on predicting implantation outcome.

Authors:  Emre Seli; Can Bruce; Lucy Botros; Mark Henson; Pieter Roos; Kevin Judge; Thorir Hardarson; Aishling Ahlström; Paul Harrison; Michael Henman; Kathryn Go; Nicole Acevedo; Jeannette Siques; Michael Tucker; Denny Sakkas
Journal:  J Assist Reprod Genet       Date:  2010-11-10       Impact factor: 3.412

3.  Non-invasive metabolomic profiling of embryo culture media and morphology grading to predict implantation outcome in frozen-thawed embryo transfer cycles.

Authors:  Xiong Li; Yan Xu; Jing Fu; Wen-Bi Zhang; Su-Ying Liu; Xiao-Xi Sun
Journal:  J Assist Reprod Genet       Date:  2015-10-10       Impact factor: 3.412

4.  Rapid and noninvasive technique to assess the metabolomics profile of bovine embryos produced in vitro by Raman spectroscopy.

Authors:  E C Santos; H S Martinho; K Annes; R F Leite; M P Milazzotto
Journal:  Biomed Opt Express       Date:  2015-07-08       Impact factor: 3.732

5.  Is there an advantage in scoring early embryos on more than one day?

Authors:  Catherine Racowsky; Lucila Ohno-Machado; Jihoon Kim; John D Biggers
Journal:  Hum Reprod       Date:  2009-06-02       Impact factor: 6.918

6.  Is NMR metabolic profiling of spent embryo culture media useful to assist in vitro human embryo selection?

Authors:  Lydie Nadal-Desbarats; Ségolène Veau; Hélène Blasco; Patrick Emond; Dominique Royere; Christian R Andres; Fabrice Guérif
Journal:  MAGMA       Date:  2012-08-10       Impact factor: 2.310

7.  (1)H NMR based profiling of spent culture media cannot predict success of implantation for day 3 human embryos.

Authors:  Paolo Rinaudo; Shehua Shen; Jia Hua; Su Qian; Uday Prabhu; Erwin Garcia; Marcelle Cedars; Dinesh Sukumaran; Thomas Szyperski; Chris Andrews
Journal:  J Assist Reprod Genet       Date:  2012-10-23       Impact factor: 3.412

8.  Identification of biochemical differences between different forms of male infertility by nuclear magnetic resonance (NMR) spectroscopy.

Authors:  Varshini Jayaraman; Soumita Ghosh; Arjun Sengupta; Sudha Srivastava; H M Sonawat; Pratap Kumar Narayan
Journal:  J Assist Reprod Genet       Date:  2014-06-26       Impact factor: 3.412

Review 9.  Approaches to improve the diagnosis and management of infertility.

Authors:  P Devroey; B C J M Fauser; K Diedrich
Journal:  Hum Reprod Update       Date:  2009-04-20       Impact factor: 15.610

10.  Metabolomics and its application for non-invasive embryo assessment in IVF.

Authors:  Lucy Botros; Denny Sakkas; Emre Seli
Journal:  Mol Hum Reprod       Date:  2008-12       Impact factor: 4.025

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