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The utility of nuclear magnetic resonance spectroscopy in assisted reproduction
Author(s) -
Gitanjali Asampille,
Aswathi Cheredath,
David Joseph,
Satish Kumar Adiga,
Hanudatta S. Atreya
Publication year - 2020
Publication title -
open biology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.078
H-Index - 53
ISSN - 2046-2441
DOI - 10.1098/rsob.200092
Subject(s) - biology , embryo , metabolomics , gamete , assisted reproductive technology , infertility , nuclear magnetic resonance spectroscopy , reproduction , computational biology , bioinformatics , evolutionary biology , microbiology and biotechnology , genetics , nuclear magnetic resonance , pregnancy , sperm , physics
Infertility affects approximately 15–20% of individuals of reproductive age worldwide. Over the last 40 years, assisted reproductive technology (ART) has helped millions of childless couples. However, ART is limited by a low success rate and risk of multiple gestations. Devising methods for selecting the best gamete or embryo that increases the ART success rate and prevention of multiple gestation has become one of the key goals in ART today. Special emphasis has been placed on the development of non-invasive approaches, which do not require perturbing the embryonic cells, as the current morphology-based embryo selection approach has shortcomings in predicting the implantation potential of embryos. An observed association between embryo metabolism and viability has prompted researchers to develop metabolomics-based biomarkers. Nuclear magnetic resonance (NMR) spectroscopy provides a non-invasive approach for the metabolic profiling of tissues, gametes and embryos, with the key advantage of having a minimal sample preparation procedure. Using NMR spectroscopy, biologically important molecules can be identified and quantified in intact cells, extracts or secretomes. This, in turn, helps to map out the active metabolic pathways in a system. The present review covers the contribution of NMR spectroscopy in assisted reproduction at various stages of the process.

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