Document Detail


Predicting human embryo viability: the road to non-invasive analysis of the secretome using metabolic footprinting.
MedLine Citation:
PMID:  17854527     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
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.
Authors:
Daniel R Brison; Katherine Hollywood; Ruth Arnesen; Royston Goodacre
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Publication Detail:
Type:  Journal Article; Portraits; Research Support, Non-U.S. Gov't; Review    
Journal Detail:
Title:  Reproductive biomedicine online     Volume:  15     ISSN:  1472-6483     ISO Abbreviation:  Reprod. Biomed. Online     Publication Date:  2007 Sep 
Date Detail:
Created Date:  2007-09-14     Completed Date:  2007-10-11     Revised Date:  2008-11-21    
Medline Journal Info:
Nlm Unique ID:  101122473     Medline TA:  Reprod Biomed Online     Country:  England    
Other Details:
Languages:  eng     Pagination:  296-302     Citation Subset:  IM    
Affiliation:
Department of Reproductive Medicine, St Mary's Hospital, Manchester M13 OJH, UK. Daniel.Brison@manchester.ac.uk
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MeSH Terms
Descriptor/Qualifier:
Embryo, Mammalian / metabolism*,  secretion*
Humans
Metabolic Networks and Pathways / physiology*
Tissue Survival / physiology*

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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