Literature DB >> 29547689

Metabolomics for improving pregnancy outcomes in women undergoing assisted reproductive technologies.

Charalampos S Siristatidis1, Eleni Sertedaki, Dennis Vaidakis, Christos Varounis, Marialena Trivella.   

Abstract

BACKGROUND: In order to overcome the low effectiveness of assisted reproductive technologies (ART) and the high incidence of multiple births, metabolomics is proposed as a non-invasive method to assess oocyte quality, embryo viability, and endometrial receptivity, and facilitate a targeted subfertility treatment.
OBJECTIVES: To evaluate the effectiveness and safety of metabolomic assessment of oocyte quality, embryo viability, and endometrial receptivity for improving live birth or ongoing pregnancy rates in women undergoing ART, compared to conventional methods of assessment. SEARCH
METHODS: We searched the Cochrane Gynaecology and Fertility Group Trials Register, CENTRAL, MEDLINE, Embase, CINAHL and two trial registers (Feburary 2018). We also examined the reference lists of primary studies and review articles, citation lists of relevant publications, and abstracts of major scientific meetings. SELECTION CRITERIA: Randomised controlled trials (RCTs) on metabolomic assessment of oocyte quality, embryo viability, and endometrial receptivity in women undergoing ART. DATA COLLECTION AND ANALYSIS: Pairs of review authors independently assessed trial eligibility and risk of bias, and extracted the data. The primary outcomes were rates of live birth or ongoing pregnancy (composite outcome) and miscarriage. Secondary outcomes were clinical pregnancy, multiple and ectopic pregnancy, cycle cancellation, and foetal abnormalities. We combined data to calculate odds ratios (ORs) for dichotomous data and 95% confidence intervals (CIs). Statistical heterogeneity was assessed using the I² statistic. We assessed the overall quality of the evidence for the main comparisons using GRADE methods. MAIN
RESULTS: We included four trials with a total of 924 women, with a mean age of 33 years. All assessed the role of metabolomic investigation of embryo viability. We found no RCTs that addressed the metabolomic assessment of oocyte quality or endometrial receptivity.We found low-quality evidence of little or no difference between metabolomic and non-metabolomic assessment of embryos for rates of live birth or ongoing pregnancy (OR 1.02, 95% CI 0.77 to 1.35, I² = 0%; four RCTs; N = 924), live birth alone (OR 0.99, 95% CI 0.69 to 1.44, I² = 0%; three RCTs; N = 597), or miscarriage (OR 1.18, 95% CI 0.77 to 1.82; I² = 0%; three RCTs; N = 869). A sensitivity analysis excluding studies at high risk of bias did not change the interpretation of the results for live birth or ongoing pregnancy (OR 0.90, 95% CI 0.66 to 1.25, I² = 0%; two RCTs; N = 744). Our findings suggested that if the rate of live birth or ongoing pregnancy was 36% in the non-metabolomic group, it would be between 32% and 45% with the use of metabolomics.We found low-quality evidence of little or no difference between groups in rates of clinical pregnancy (OR 1.11, 95% CI 0.85 to 1.45; I²= 44%; four trials; N = 924) or multiple pregnancy (OR 1.50, 95% CI 0.70 to 3.19; I² = 0%; two RCTs, N = 180). Rates of cycle cancellation were higher in the metabolomics group (OR 1.78, 95% CI 1.18 to 2.69; I² = 51%; two RCTs; N = 744, low quality evidence). There was very low-quality evidence of little or no difference between groups in rates of ectopic pregnancy rates (OR 3.00, 95% CI 0.12 to 74.07; one RCT; N = 417), and foetal abnormality (no events; one RCT; N = 125). Data were lacking on other adverse effects. A sensitivity analysis excluding studies at high risk of bias did not change the interpretation of the results for clinical pregnancy (OR 1.03, 95% CI 0.76 to 1.38; I² = 40%; two RCTs; N = 744).The overall quality of the evidence ranged from very low to low. Limitations included serious risk of bias (associated with poor reporting of methods, attrition bias, selective reporting, and other biases), imprecision, and inconsistency across trials. AUTHORS'
CONCLUSIONS: According to current trials in women undergoing ART, there is no evidence to show that metabolomic assessment of embryos before implantation has any meaningful effect on rates of live birth, ongoing pregnancy, miscarriage, multiple pregnancy, ectopic pregnancy or foetal abnormalities. The existing evidence varied from very low to low-quality. Data on other adverse events were sparse, so we could not reach conclusions on these. At the moment, there is no evidence to support or refute the use of this technique for subfertile women undergoing ART. Robust evidence is needed from further RCTs, which study the effects on live birth and miscarriage rates for the metabolomic assessment of embryo viability. Well designed and executed trials are also needed to study the effects on oocyte quality and endometrial receptivity, since none are currently available.

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Mesh:

Year:  2018        PMID: 29547689      PMCID: PMC6494410          DOI: 10.1002/14651858.CD011872.pub3

Source DB:  PubMed          Journal:  Cochrane Database Syst Rev        ISSN: 1361-6137


  75 in total

Review 1.  Noninvasive methods to assess embryo quality.

Authors:  Denny Sakkas; David K Gardner
Journal:  Curr Opin Obstet Gynecol       Date:  2005-06       Impact factor: 1.927

Review 2.  Emerging technologies for the molecular study of infertility, and potential clinical applications.

Authors:  Alex C Varghese; Eric Goldberg; Asok K Bhattacharyya; Ashok Agarwal
Journal:  Reprod Biomed Online       Date:  2007-10       Impact factor: 3.828

Review 3.  Assessment of embryo viability in assisted reproductive technology: shortcomings of current approaches and the emerging role of metabolomics.

Authors:  Jason G Bromer; Emre Seli
Journal:  Curr Opin Obstet Gynecol       Date:  2008-06       Impact factor: 1.927

Review 4.  A review of the promises and pitfalls of oocyte and embryo metabolomics.

Authors:  L Nel-Themaat; Z P Nagy
Journal:  Placenta       Date:  2011-06-23       Impact factor: 3.481

Review 5.  Time-lapse systems for embryo incubation and assessment in assisted reproduction.

Authors:  Sarah Armstrong; Nicola Arroll; Lynsey M Cree; Vanessa Jordan; Cindy Farquhar
Journal:  Cochrane Database Syst Rev       Date:  2015-02-27

6.  An investigation into the relationship between the metabolic profile of follicular fluid, oocyte developmental potential, and implantation outcome.

Authors:  Martina Wallace; Evelyn Cottell; Michael J Gibney; Fionnuala M McAuliffe; Mary Wingfield; Lorraine Brennan
Journal:  Fertil Steril       Date:  2012-02-22       Impact factor: 7.329

7.  High rates of embryo wastage with use of assisted reproductive technology: a look at the trends between 1995 and 2001 in the United States.

Authors:  George Kovalevsky; Pasquale Patrizio
Journal:  Fertil Steril       Date:  2005-08       Impact factor: 7.329

8.  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

9.  Non-invasive amino acid turnover predicts human embryo developmental capacity.

Authors:  Franchesca D Houghton; Judith A Hawkhead; Peter G Humpherson; Jan E Hogg; Adam H Balen; Anthony J Rutherford; Henry J Leese
Journal:  Hum Reprod       Date:  2002-04       Impact factor: 6.918

10.  Metabolic profiling of follicular fluid and plasma from natural cycle in vitro fertilization patients--a pilot study.

Authors:  Cassey McRae; N Ellissa Baskind; Nicolas M Orsi; Vinay Sharma; Julie Fisher
Journal:  Fertil Steril       Date:  2012-08-21       Impact factor: 7.329

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  8 in total

1.  Assisted reproductive technology: an overview of Cochrane Reviews.

Authors:  Cindy Farquhar; Jane Marjoribanks
Journal:  Cochrane Database Syst Rev       Date:  2018-08-17

2.  Combining Machine Learning with Metabolomic and Embryologic Data Improves Embryo Implantation Prediction.

Authors:  Aswathi Cheredath; Shubhashree Uppangala; Asha C S; Ameya Jijo; Vani Lakshmi R; Pratap Kumar; David Joseph; Nagana Gowda G A; Guruprasad Kalthur; Satish Kumar Adiga
Journal:  Reprod Sci       Date:  2022-09-12       Impact factor: 2.924

3.  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

4.  Endometrial injection of embryo culture supernatant for subfertile women in assisted reproduction.

Authors:  Charalampos S Siristatidis; Eleni Sertedaki; Vasilios Karageorgiou; Dennis Vaidakis
Journal:  Cochrane Database Syst Rev       Date:  2020-08-14

Review 5.  Metabolomics for Diagnosis and Prognosis of Uterine Diseases? A Systematic Review.

Authors:  Janina Tokarz; Jerzy Adamski; Tea Lanišnik Rižner
Journal:  J Pers Med       Date:  2020-12-21

6.  Endometrial polyps with increased plasma cells are associated with chronic endometritis in infertility patients: Hysteroscopic findings and post-polypectomy pregnancy rates.

Authors:  Mari Nomiyama; Fumio Yamasaki; Mariko Tokunaga; Yukari Ohbuchi; Naka Sago; Kaoru Arima; Wakako Nishiyama; Mariko Hashiguchi; Kayoko Kojima
Journal:  Reprod Med Biol       Date:  2021-06-27

7.  The Development of Nomograms to Predict Blastulation Rate Following Cycles of In Vitro Fertilization in Patients With Tubal Factor Infertility, Polycystic Ovary Syndrome, or Endometriosis.

Authors:  Haixia Jin; Xiaoxue Shen; Wenyan Song; Yan Liu; Lin Qi; Fuli Zhang
Journal:  Front Endocrinol (Lausanne)       Date:  2021-11-03       Impact factor: 5.555

Review 8.  Metabolomics for improving pregnancy outcomes in women undergoing assisted reproductive technologies.

Authors:  Charalampos S Siristatidis; Eleni Sertedaki; Dennis Vaidakis; Christos Varounis; Marialena Trivella
Journal:  Cochrane Database Syst Rev       Date:  2018-03-16
  8 in total

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