Metabolomics as a tool to identify biomarkers to predict and improve outcomes in reproductive medicine: a systematic review.

Author: AbdallaHossam, Bracewell-MilnesTimothy, HolmesElaine, JohnsonMark, NikolauDimitrios, Norman-TaylorJulian, SasoSrdjan, ThumMeen-Yau

Paper Details 
Original Abstract of the Article :
Infertility is a complex disorder with significant medical, psychological and financial consequences for patients. With live-birth rates per cycle below 30% and a drive from the Human Fertilisation and Embryology Authority (HFEA) to encourage single embryo transfer, there is significant research in ...See full text at original site
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引用元:
https://doi.org/10.1093/humupd/dmx023

データ提供:米国国立医学図書館(NLM)

Metabolomics and Biomarkers for Reproductive Medicine

Infertility is a complex and often distressing condition, like trying to find a hidden oasis in a vast and unforgiving desert. This study examines the potential of metabolomics, a technique for studying metabolic profiles, to identify biomarkers that could predict and improve outcomes in reproductive medicine. The researchers believe that understanding the metabolic landscape could provide insights into the causes of infertility and lead to the development of new diagnostic and therapeutic tools.

Unveiling the Metabolic Secrets of Infertility

This study explores the potential of metabolomics to shed light on the underlying causes of infertility, providing a new window into the complex biological processes involved.

Personalized Approaches for Infertility Treatment

The findings could lead to the development of personalized treatment strategies for infertility, potentially improving success rates and optimizing outcomes for patients.

Dr. Camel's Conclusion

This research paves the way for a more personalized and effective approach to infertility treatment, potentially transforming the lives of individuals struggling to conceive.

Date :
  1. Date Completed 2018-03-26
  2. Date Revised 2018-12-02
Further Info :

Pubmed ID

29069503

DOI: Digital Object Identifier

10.1093/humupd/dmx023

Related Literature

SNS
PICO Info
in preparation
Languages

English

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