Literature DB >> 17854527

Predicting human embryo viability: the road to non-invasive analysis of the secretome using metabolic footprinting.

Daniel R Brison1, Katherine Hollywood, Ruth Arnesen, Royston Goodacre.   

Abstract

Infertility affects an increasing number of couples and for many the treatment of choice is IVF. However, the success rate remains relatively low, and, as typically two or more embryos are implanted, successful pregnancy often leads to multiple pregnancies with attendant complications. The major limitation in clinical IVF is the inability to predict which embryos are most viable, with the highest chance of implantation and development to a live baby. In principle, embryos can be selected for transfer based on data obtained at the genomic, transcriptomic, proteomic and/or metabolomic levels; however, these measurements cannot always be made directly on the embryo without invasive biopsy of cells. Alternative strategies are needed and this review considers the range of possibilities, with a focus on the analysis of the secretome from human embryos using metabolic footprinting.

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Year:  2007        PMID: 17854527     DOI: 10.1016/s1472-6483(10)60342-2

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


  10 in total

1.  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

Review 2.  PGS-FISH in reproductive medicine and perspective directions for improvement: a systematic review.

Authors:  Sandra Zamora; Ana Clavero; M Carmen Gonzalvo; Juan de Dios Luna Del Castillo; Jose Antonio Roldán-Nofuentes; Juan Mozas; Jose Antonio Castilla
Journal:  J Assist Reprod Genet       Date:  2011-06-29       Impact factor: 3.412

3.  Association between amino acid turnover and chromosome aneuploidy during human preimplantation embryo development in vitro.

Authors:  Helen M Picton; Kay Elder; Franchesca D Houghton; Judith A Hawkhead; Anthony J Rutherford; Jan E Hogg; Henry J Leese; Sarah E Harris
Journal:  Mol Hum Reprod       Date:  2010-06-22       Impact factor: 4.025

4.  Transcriptome asymmetry within mouse zygotes but not between early embryonic sister blastomeres.

Authors:  Matthew D VerMilyea; Matthias Maneck; Naoko Yoshida; Isabell Blochberger; Emi Suzuki; Toru Suzuki; Rainer Spang; Christoph A Klein; Anthony C F Perry
Journal:  EMBO J       Date:  2011-04-05       Impact factor: 11.598

5.  Noninvasive metabolic profiling using microfluidics for analysis of single preimplantation embryos.

Authors:  John Paul Urbanski; Mark T Johnson; David D Craig; David L Potter; David K Gardner; Todd Thorsen
Journal:  Anal Chem       Date:  2008-07-29       Impact factor: 6.986

6.  Detection and quantification of maternal-effect gene transcripts in mouse second polar bodies: potential markers of embryo developmental competence.

Authors:  Ze-Xu Jiao; Teresa K Woodruff
Journal:  Fertil Steril       Date:  2013-03-05       Impact factor: 7.329

7.  Global gene expression profiling of individual human oocytes and embryos demonstrates heterogeneity in early development.

Authors:  Lisa Shaw; Sharon F Sneddon; Leo Zeef; Susan J Kimber; Daniel R Brison
Journal:  PLoS One       Date:  2013-05-22       Impact factor: 3.240

Review 8.  The role of proteomics in defining the human embryonic secretome.

Authors:  M G Katz-Jaffe; S McReynolds; D K Gardner; W B Schoolcraft
Journal:  Mol Hum Reprod       Date:  2009-02-17       Impact factor: 4.025

Review 9.  OMICS: Current and future perspectives in reproductive medicine and technology.

Authors:  Rocío Rivera Egea; Nicolás Garrido Puchalt; Marcos Meseguer Escrivá; Alex C Varghese
Journal:  J Hum Reprod Sci       Date:  2014-04

10.  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 in total

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