Literature DB >> 21397559

Cross-validation and predictive value of near-infrared spectroscopy algorithms for day-5 blastocyst transfer.

Aisling Ahlström1, Matts Wikland1, Lena Rogberg1, Jeannette Siques Barnett2, Michael Tucker2, Thorir Hardarson1.   

Abstract

Near-infrared (NIR) spectroscopic metabolomic profiling of spent embryo-culture media has been used to calculate a viability score for individual embryos. These scores have been found to correlate to the reproductive potential of cleavage-stage embryos. In this study, 137 spent blastocyst media samples were collected after single-embryo transfer and analysed by NIR spectroscopy to generate an algorithm and calculate viability scores. To blindly validate the algorithm development process, another algorithm was trained on 47 preselected samples from clinic 1 and then used to predict the outcome of 42 samples from clinic 2. The overall pregnancy rate from the two clinical sites was 50.4%. A positive correlation (R(2)=0.82, P=0.03) was observed with the increasing viability score quintiles and their associated implantation rates. Cross-validation of an algorithm generated from NIR analysis of media samples at one clinical setting blindly was shown to predict implantation potential of blastocysts cultured at another clinic in a different culture media and culture volume. This study demonstrates that metabolomic profiling by NIR spectroscopic analysis of day-5 spent embryo-culture media can predict the implantation potential of blastocysts. Furthermore, this method may not be restricted to a specific set of culturing conditions. The successes of IVF treatment cycles are in part limited by the ability to select the best single embryo from a cohort of patient embryos for transfer back to the woman. Routine procedures of embryo selection are based on morphology, including cell number and size, and the timing of cell division. These methods are favoured because they are quick and easy to assess. Human embryos are grown in culture solutions, which are specific for their stage of development. Recent studies analysing the culture solution in which the embryo are grown, by near infrared (NIR) spectroscopic analysis, have been able to predict if an embryo will implant or not. As culture conditions often vary between IVF laboratories the questions remained if the NIR technique could be used to independently predict the implantation potential of an embryo cultured at one laboratory using an algorithm trained on embryos at a second clinic, a so-called cross-validation. The results of this study show that NIR spectroscopy can predict the ability of embryos to implant even when grown in different IVF laboratories and in two different culture solutions. This information supports the idea that NIR spectroscopy can be used globally not relying on specific culture conditions or media.
Copyright © 2011 Reproductive Healthcare Ltd. Published by Elsevier Ltd. All rights reserved.

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Year:  2011        PMID: 21397559     DOI: 10.1016/j.rbmo.2011.01.009

Source DB:  PubMed          Journal:  Reprod Biomed Online        ISSN: 1472-6483            Impact factor:   3.828


  13 in total

1.  A randomized clinical trial comparing embryo culture in a conventional incubator with a time-lapse incubator.

Authors:  Kirstine Kirkegaard; Johnny Juhl Hindkjaer; Marie Louise Grøndahl; Ulrik Schiøler Kesmodel; Hans Jakob Ingerslev
Journal:  J Assist Reprod Genet       Date:  2012-03-30       Impact factor: 3.412

2.  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

3.  Blastocyst utilization rates after continuous culture in two commercial single-step media: a prospective randomized study with sibling oocytes.

Authors:  Ioannis A Sfontouris; Efstratios M Kolibianakis; George T Lainas; Christos A Venetis; George K Petsas; Basil C Tarlatzis; Tryfon G Lainas
Journal:  J Assist Reprod Genet       Date:  2017-07-17       Impact factor: 3.412

4.  Zygote serine decreased uptake from the fertilization medium is associated with implantation and pregnancy.

Authors:  Einat Zivi; Dinorah Barash; Einat Aizenman; Dan Gibson; Yoel Shufaro
Journal:  J Assist Reprod Genet       Date:  2014-05-02       Impact factor: 3.412

5.  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

Review 6.  Metabolomic assessment of embryo viability.

Authors:  Asli Uyar; Emre Seli
Journal:  Semin Reprod Med       Date:  2014-02-10       Impact factor: 1.303

Review 7.  Metabolic control of oocyte development: linking maternal nutrition and reproductive outcomes.

Authors:  Ling Gu; Honglin Liu; Xi Gu; Christina Boots; Kelle H Moley; Qiang Wang
Journal:  Cell Mol Life Sci       Date:  2014-10-04       Impact factor: 9.261

Review 8.  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

Review 9.  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

10.  Non-invasive metabolomic analysis using a commercial NIR instrument for embryo selection.

Authors:  Ioannis A Sfontouris; George T Lainas; Denny Sakkas; Ioannis Z Zorzovilis; George K Petsas; Trifon G Lainas
Journal:  J Hum Reprod Sci       Date:  2013-04
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