Literature DB >> 17490741

Metabolomics: approaches to assessing oocyte and embryo quality.

R Singh1, K D Sinclair.   

Abstract

Morphological evaluation remains the primary method of embryo assessment during IVF cycles, but its modest predictive power and inherent inter- and intra-observer variability limits its value. Low-molecular weight metabolites represent the end products of cell regulatory processes and therefore reveal the response of biological systems to a variety of genetic, nutrient or environmental influences. It follows that the non-invasive quantification of oocyte and embryo metabolism, from the analyses of follicular fluid or culture media, may be a useful predictor of pregnancy outcome following embryo transfer, a potential supported by recent clinical studies working with specific classes of metabolites such as glycolytic intermediates and amino acids. Such selective approaches, however, whilst adhering closely to known cellular processes, may fail to harness the full potential of contemporary metabolomic methodologies, which can measure a wider spectrum of metabolites. However, an important technical drawback with many existing methodologies is the limited number of metabolites that can be determined by a single analytical platform. Vibrational spectroscopy methodologies such as Fourier transform infrared and near infrared spectroscopy may overcome these limitations by generating unique spectral signatures of functional groups and bonds, but their application in embryo quality assessment remains to be fully validated. Ultimately, a combination of evaluation criteria that include morphometry with metabolomics may provide the best predictive assessment of embryo viability.

Entities:  

Mesh:

Year:  2007        PMID: 17490741     DOI: 10.1016/j.theriogenology.2007.04.007

Source DB:  PubMed          Journal:  Theriogenology        ISSN: 0093-691X            Impact factor:   2.740


  25 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.  Metabolomics in premature labor: a novel approach to identify patients at risk for preterm delivery.

Authors:  Roberto Romero; Shali Mazaki-Tovi; Edi Vaisbuch; Juan Pedro Kusanovic; Tinnakorn Chaiworapongsa; Ricardo Gomez; Jyh Kae Nien; Bo Hyun Yoon; Moshe Mazor; Jingqin Luo; David Banks; John Ryals; Chris Beecher
Journal:  J Matern Fetal Neonatal Med       Date:  2010-05-26

Review 3.  Clinical metabolomics: the next stage of clinical biochemistry.

Authors:  Angelo D'Alessandro; Bruno Giardina; Federica Gevi; Anna Maria Timperio; Lello Zolla
Journal:  Blood Transfus       Date:  2012-05       Impact factor: 3.443

4.  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

5.  Metabolomic profiling of human follicular fluid from patients with repeated failure of in vitro fertilization using gas chromatography/mass spectrometry.

Authors:  Lan Xia; Xiaoming Zhao; Yun Sun; Yan Hong; Yuping Gao; Shuanggang Hu
Journal:  Int J Clin Exp Pathol       Date:  2014-09-15

6.  GDF9 concentration in embryo culture medium is linked to human embryo quality and viability.

Authors:  Jingyu Li; Chong Li; Xuemei Liu; Jingwei Yang; Qi Zhang; Wei Han; Guoning Huang
Journal:  J Assist Reprod Genet       Date:  2021-11-29       Impact factor: 3.412

7.  Antioxidant capacity of follicular fluid from patients undergoing in vitro fertilization.

Authors:  Bo Huang; Zhou Li; Jihui Ai; Lixia Zhu; Yufeng Li; Lei Jin; Hanwang Zhang
Journal:  Int J Clin Exp Pathol       Date:  2014-04-15

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

9.  Omics and Artificial Intelligence to Improve In Vitro Fertilization (IVF) Success: A Proposed Protocol.

Authors:  Charalampos Siristatidis; Sofoklis Stavros; Andrew Drakeley; Stefano Bettocchi; Abraham Pouliakis; Peter Drakakis; Michail Papapanou; Nikolaos Vlahos
Journal:  Diagnostics (Basel)       Date:  2021-04-21

10.  Genomic assessment of human cumulus cell marker genes as predictors of oocyte developmental competence: impact of various experimental factors.

Authors:  Prisca Feuerstein; Vincent Puard; Catherine Chevalier; Raluca Teusan; Veronique Cadoret; Fabrice Guerif; Remi Houlgatte; Dominique Royere
Journal:  PLoS One       Date:  2012-07-27       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.