Metabolomics for improving pregnancy outcomes in women undergoing assisted reproductive technologies
- PMID: 29547689
- PMCID: PMC6494410
- DOI: 10.1002/14651858.CD011872.pub3
Metabolomics for improving pregnancy outcomes in women undergoing assisted reproductive technologies
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.
Conflict of interest statement
None of the authors have any conflicts of interest to disclose.
Figures














Update of
-
Metabolomics for improving pregnancy outcomes in women undergoing assisted reproductive technologies.Cochrane Database Syst Rev. 2017 May 23;5(5):CD011872. doi: 10.1002/14651858.CD011872.pub2. Cochrane Database Syst Rev. 2017. Update in: Cochrane Database Syst Rev. 2018 Mar 16;3:CD011872. doi: 10.1002/14651858.CD011872.pub3. PMID: 28534597 Free PMC article. Updated.
Similar articles
-
Metabolomics for improving pregnancy outcomes in women undergoing assisted reproductive technologies.Cochrane Database Syst Rev. 2017 May 23;5(5):CD011872. doi: 10.1002/14651858.CD011872.pub2. Cochrane Database Syst Rev. 2017. Update in: Cochrane Database Syst Rev. 2018 Mar 16;3:CD011872. doi: 10.1002/14651858.CD011872.pub3. PMID: 28534597 Free PMC article. Updated.
-
Application of seminal plasma to female genital tract prior to embryo transfer in assisted reproductive technology cycles (IVF, ICSI and frozen embryo transfer).Cochrane Database Syst Rev. 2018 Feb 28;2(2):CD011809. doi: 10.1002/14651858.CD011809.pub2. Cochrane Database Syst Rev. 2018. PMID: 29489026 Free PMC article.
-
Antioxidants for female subfertility.Cochrane Database Syst Rev. 2017 Jul 28;7(7):CD007807. doi: 10.1002/14651858.CD007807.pub3. Cochrane Database Syst Rev. 2017. Update in: Cochrane Database Syst Rev. 2020 Aug 27;8:CD007807. doi: 10.1002/14651858.CD007807.pub4. PMID: 28752910 Free PMC article. Updated.
-
Androgens (dehydroepiandrosterone or testosterone) for women undergoing assisted reproduction.Cochrane Database Syst Rev. 2015 Nov 26;2015(11):CD009749. doi: 10.1002/14651858.CD009749.pub2. Cochrane Database Syst Rev. 2015. Update in: Cochrane Database Syst Rev. 2024 Jun 5;6:CD009749. doi: 10.1002/14651858.CD009749.pub3. PMID: 26608695 Free PMC article. Updated.
-
Time-lapse systems for embryo incubation and assessment in assisted reproduction.Cochrane Database Syst Rev. 2018 May 25;5(5):CD011320. doi: 10.1002/14651858.CD011320.pub3. Cochrane Database Syst Rev. 2018. Update in: Cochrane Database Syst Rev. 2019 May 29;5:CD011320. doi: 10.1002/14651858.CD011320.pub4. PMID: 29800485 Free PMC article. Updated.
Cited by
-
Assisted reproductive technology: an overview of Cochrane Reviews.Cochrane Database Syst Rev. 2018 Aug 17;8(8):CD010537. doi: 10.1002/14651858.CD010537.pub5. Cochrane Database Syst Rev. 2018. PMID: 30117155 Free PMC article.
-
Human ovarian aging is characterized by oxidative damage and mitochondrial dysfunction.Hum Reprod. 2023 Nov 2;38(11):2208-2220. doi: 10.1093/humrep/dead177. Hum Reprod. 2023. PMID: 37671592 Free PMC article.
-
The Role of One-Carbon Metabolism and Methyl Donors in Medically Assisted Reproduction: A Narrative Review of the Literature.Int J Mol Sci. 2024 May 2;25(9):4977. doi: 10.3390/ijms25094977. Int J Mol Sci. 2024. PMID: 38732193 Free PMC article. Review.
-
Use of clomiphene citrate protocol for controlled ovarian stimulation impairs endometrial maturity.JBRA Assist Reprod. 2021 Feb 2;25(1):90-96. doi: 10.5935/1518-0557.20200056. JBRA Assist Reprod. 2021. PMID: 33118715 Free PMC article.
-
Combining Machine Learning with Metabolomic and Embryologic Data Improves Embryo Implantation Prediction.Reprod Sci. 2023 Mar;30(3):984-994. doi: 10.1007/s43032-022-01071-1. Epub 2022 Sep 12. Reprod Sci. 2023. PMID: 36097248 Free PMC article.
References
References to studies included in this review
Economou 2011 {published data only}
-
- Economou K, Davies S, Argyrou M, Doriza S, Sisi P, Moschopoulou M, et al. Selection of embryos with the best reproductive potential according to their metabolomics profile using near infrared spectroscopy: a prospective randomized study. Human Reproduction 2011;26(Suppl 1):i1‐i353 P‐188.
Hardarson 2012 {published data only}
Sfontouris 2013 {published data only}
Vergouw 2012 {published data only}
-
- Vergouw CG, Kieslinger DC, Kostelijk EH, Botros LL, Schats R, Hompes PG, et al. Day 3 embryo selection by metabolomic profiling of culture medium with near‐infrared spectroscopy as an adjunct to morphology: a randomized controlled trial. Human Reproduction 2012;27(8):2304‐11. [DOI: 10.1093/humrep/des175] - DOI - PubMed
References to studies excluded from this review
Ahlstrom 2011 {published data only}
Bellver 2015 {published data only}
Ciepiela 2015 {published data only}
-
- Ciepiela P, Bączkowski T, Drozd A, Kazienko A, Stachowska E, Kurzawa R. Arachidonic and linoleic acid derivatives impact oocyte ICSI fertilization — a prospective analysis of follicular fluid and a matched oocyte in a 'one follicle — one retrieved oocyte — one resulting embryo' investigational setting. PLos One 2015;10(3):e0119087. [doi: 10.1371/journal.pone.0119087. eCollection 2015] - PMC - PubMed
Cordeiro 2015 {published data only}
-
- Cordeiro FB, Cataldi TR, Perkel KJ, do Vale Teixeira da Costa L, Rochetti RC, Stevanato J, et al. Lipidomics analysis of follicular fluid by ESI‐MS reveals potential biomarkers for ovarian endometriosis. Journal of Assisted Reproduction and Genetics 2015;32(12):1817‐25. [DOI: 10.1007/s10815-015-0592-1] - DOI - PMC - PubMed
de Los Santos 2015 {published data only}
Drabkova 2016 {published data only}
Fu 2013 {published data only}
Garip 2016 {published data only}
-
- Garip S, Ceyhan ST, Korkmaz C, Atis M, Guney E, Bal EM, et al. Embryo quality assessment in in vitro fertilization (IVF) using metabolite footprints secreted to human embryo culture media by ATR‐FTIR spectroscopy and multivariate analysis. Reproductive BioMedicine Online 2016;32(Suppl 1):S9. [DOI: 10.1016/S1472-6483(16)30153-5] - DOI
Gonsalvez‐Alvarez 2015 {published data only}
-
- Gonsalvez‐Alvarez R, Ten J, Lledo B, Bernabeu R, Marhuenda‐Egea FC. Non‐invasive metabolomic and chemometric analysis of human embryo culture medium at low oxygen pressure. Human Reproduction Conference: 31st Annual Meeting of the European Society of Human Reproduction and Embryology, ESHRE 2015. Lisbon Portugal. Human Reproduction 2015;30(Suppl 1):i238.
Hardarson 2008 {published data only}
-
- Hardarson T, Tucker M, Seli E, Botros L, Roos P, Sakkas D. Non‐invasive metabolic profiling of day 5 embryo culture media adds to the discriminatory power of blastocyst culture for single embryo transfer (SET). Fertility and Sterility 2008;90(Supp 1):S77. [DOI: 10.1016/j.fertnstert.2008.07.885] - DOI
Kato 2007 {published data only}
-
- Kato O, Teramoto S, Morita H, Botros L, Roos P, Burns D. Metabolomic assessment of day 2 (D2) embryos based on pregnancy outcome after single embryo transfer (SET). Fertility and Sterility 2007;88(Supp 1):S27. [DOI: 10.1016/j.fertnstert.2007.07.106] - DOI
Kirkegaard 2013 {published data only}
-
- Kirkegaard K, Svane ASP, Hindkjaer JJ, Nielsen NC, Ingerslev HJ. Metabolic profiles of spent culture media does not predict pregnancy outcome. Human Reproduction 2013;28(Suppl 1):i23‐5. [DOI: 10.1093/humrep/det230] - DOI
Kirkegaard 2014 {published data only}
-
- Kirkegaard K, Svane AS, Nielsen JS, Hindkjær JJ, Nielsen NC, Ingerslev HJ. Nuclear magnetic resonance metabolomic profiling of day 3 and 5 embryo culture medium does not predict pregnancy outcome in good prognosis patients: a prospective cohort study on single transferred embryos. Human Reproduction 2014;29(11):2413‐20. [DOI: 10.1093/humrep/deu236] - DOI - PubMed
Li 2015 {published data only}
-
- Li X, Xu Y, Fu J, Zhang WB, Liu SY, Sun XX. Non‐invasive metabolomic profiling of embryo culture media and morphology grading to predict implantation outcome in frozen‐thawed embryo transfer cycles. Journal of Assisted Reproduction and Genetics 2015;32(11):1597‐605. [DOI: 10.1007/s10815-015-0578-z] - DOI - PMC - PubMed
Lian 2010 {published data only}
-
- Lian F, Zhao B, Lu XM. Effect of er'zhi tiangui granule on metabonomics and level of Ca2+ in follicle fluid in patients after in vitro fertilization and embryo transfer. Zhongguo Zhong Xi Yi Jie He Za Zhi [Chinese journal of integrated traditional and Western medicine] 2010;30(1):22‐5. [PUBMED: 20353026] - PubMed
McRae 2012 {published data only}
Montani 2016 {published data only}
-
- Montani DA, Camillo J, Rodrigues‐Oliveira A, Oliveira‐Silva D, Lo Turco EG, Fraietta R. Metabolomic profile of follicular fluid as a predictive tool for pregnancy outcomes. Fertility and Sterility 2016;106(3, Suppl):e312‐3.
Montsko 2015 {published data only}
-
- Montskó G, Zrínyi Z, Janáky T, Szabó Z, Várnagy Á, Kovács GL, et al. Noninvasive embryo viability assessment by quantitation of human haptoglobin alpha‐1 fragment in the in vitro fertilization culture medium: an additional tool to increase success rate. Fertility and Sterility 2015;103(3):687‐93. [doi: 10.1016/j.fertnstert.2014.11.031] - PubMed
Nagy 2015 {published data only}
-
- Nagy RA, Montfoort AP, Dikkers A, Echten‐Arends J, Homminga I, Land JA, et al. Presence of bile acids in human follicular fluid and their relation with embryo development in modified natural cycle IVF. Human Reproduction 2015;30(5):1102‐09. [doi: 10.1093/humrep/dev034] - PubMed
NCT01427413 {published data only}
-
- NCT01427413. Identification and standardization of a method that would allow the study of the metabolic profile of blastocoele lays the foundation to assess blastocyst metabolomic profile and its relation with embryo morphology and embryo implantation. clinicaltrials.gov/ct2/show/NCT01427413 (first received 29 August 2011). [https://clinicaltrials.gov/ct2/show/NCT01427413]
Rødgaard 2015 {published and unpublished data}
Scott 2008 {published data only}
-
- Scott R, Seli E, Miller K, Sakkas D, Scott K, Burns DH. Noninvasive metabolomic profiling of human embryo culture media using Raman spectroscopy predicts embryonic reproductive potential: a prospective blinded pilot study. Fertility and Sterility 2008;90(1):77‐83. [DOI: 10.1016/j.fertnstert.2007.11.058] - DOI - PubMed
Seli 2007 {published data only}
-
- Seli E, Sakkas D, Scott R, Kwok SC, Rosendahl SM, Burns DH. Noninvasive metabolomic profiling of embryo culture media using Raman and near‐infrared spectroscopy correlates with reproductive potential of embryos in women undergoing in vitro fertilization. Fertility and Sterility 2007;88(5):1350‐7. [DOI: 10.1016/j.fertnstert.2007.07.1390] - DOI - PubMed
Seli 2010 {published data only}
-
- Seli E, Vergouw CG, Morita H, Botros L, Roos P, Lambalk CB, et al. Noninvasive metabolomic profiling as an adjunct to morphology for noninvasive embryo assessment in women undergoing single embryo transfer. Fertility and Sterility 2010;94(2):535‐42. [DOI: 10.1016/j.fertnstert.2009.03.078] - DOI - PubMed
Simerman 2015 {published data only}
-
- Simerman AA, Hill DL, Grogan TR, Elashoff D, Clarke NJ, Goldstein EH, et al. Intrafollicular cortisol levels inversely correlate with cumulus cell lipid content as a possible energy source during oocyte meiotic resumption in women undergoing ovarian stimulation for in vitro fertilization. Fertility and Sterility 2015;103(1):249‐57. [doi: 10.1016/j.fertnstert.2014.09.034.] - PMC - PubMed
Valckx 2014 {published data only}
-
- Valckx SD, Arias‐Alvarez M, Pauw I, Fievez V, Vlaeminck B, Fransen E, et al. Fatty acid composition of the follicular fluid of normal weight, overweight and obese women undergoing assisted reproductive treatment: a descriptive cross‐sectional study. Reproductive Biology and Endocrinology 2014;12:13. [DOI: 10.1186/1477-7827-12-13] - DOI - PMC - PubMed
Vergouw 2008 {published data only}
Xia 2014 {published data only}
-
- Xia L, Zhao X, Sun Y, Hong Y, Gao Y, Hu S. Metabolomic profiling of human follicular fluid from patients with repeated failure of in vitro fertilization using gas chromatography/mass spectrometry. International Journal of Clinical and Experimental Pathology 2014;7(10):7220‐9. [PUBMED: PMC4230118] - PMC - PubMed
Yildizfer 2015 {published data only}
Zhao 2013 {published data only}
-
- Zhao Q, Yin T, Peng J, Zou Y, Yang J, Shen A, et al. Noninvasive metabolomic profiling of human embryo culture media using a simple spectroscopy adjunct to morphology for embryo assessment in in vitro fertilization (IVF). International Journal of Molecular Sciences 2013;14(4):6556–70. [DOI: 10.3390/ijms14046556] - DOI - PMC - PubMed
References to ongoing studies
NCT02698488 {published data only}
-
- NCT02698488. Embryo selection by metabolomic profiling of embryo culture medium with mass spectroscopy as an adjunct to morphology. clinicaltrials.gov/show/NCT02698488 (first received 29 February 2016).
Additional references
Allen 2003
Altmäe 2014
Armstrong 2015
Baczkowski 2004
-
- Baczkowski T, Kurzawa R, Głabowski W. Methods of embryo scoring in in vitro fertilization. Reproductive Biology 2004;4(1):5‐22. [PUBMED: 15094792] - PubMed
Botros 2008
Bracewell‐Milnes 2017
-
- Bracewell‐Milnes T, *, Saso S, Abdalla H, Nikolau D, Norman‐Taylor J, Johnson M, et al. Metabolomics as a tool to identify biomarkers to predict and improve outcomes in reproductive medicine: asystematic review. Human Reproduction Update 2017;23(6):723‐36. [DOI: 10.1093/humupd/dmx023] - DOI - PubMed
Brison 2004
Bromer 2008a
Bromer 2008b
-
- Bromer JG, Sakkas D, Seli E. Metabolomic profiling of embryo culture media to predict IVF outcome. Expert Review of Obstetrics & Gynecology 2008;3(4):441‐7. [DOI: 10.1586/17474108.3.4.441] - DOI
CDC 2007
-
- Centers for Disease Control and Prevention, American Society for Reproductive Medicine, Society for Assisted Reproductive Technology. 2005 Assisted reproductive technology success rates: national summary and fertility clinic reports. Atlanta (GA): Centers for Disease Control and Prevention 2007.
Chamayou 2013
Cortezzi 2013
de Mouzon 2010
-
- Mouzon J, Goossens V, Bhattacharya S, Castilla JA, Ferraretti AP, Korsak V, et al. European IVF‐monitoring (EIM) Consortium, European Society of Human Reproduction and Embryology (ESHRE). Assisted reproductive technology in Europe, 2006: results generated from European registers by ESHRE. Human Reproduction 2010;25(8):1851–62. [DOI: 10.1093/humrep/deq124] - DOI - PubMed
Egea 2014
ESHRE Task Force on Ethics and Law 2010
Gardner 2013
-
- Gardner DK, Sakkas D, Seli E, Wells D (editors). Human Gametes and Preimplantation Embryos. 1. New York (NY): Springer‐Verlag, 2013. [DOI: 10.1007/978-1-4614-6651-2] - DOI
Gardner 2015
GRADEpro GDT 2014 [Computer program]
-
- GRADE Working Group, McMaster University. GRADEpro GDT. Version (accessed prior to November 2016). Hamilton (ON): GRADE Working Group, McMaster University, 2014. [www.gradepro.org]
Higgins 2011
-
- Higgins JPT, Green S (editors). Cochrane Handbook for Systematic Reviews of Interventions Version 5.1.0 (updated March 2011). The Cochrane Collaboration, 2011. Available from handbook.cochrane.org. [www.cochrane‐handbook.org]
Hillier 2008
Houghton 2002
Kallen 2010
Kasius 2014
Kjelberg 2006
Koot 2013
Kovalevsky 2005
Ledger 2006
Lieberman 2001
McRae 2013
Montag 2013
Nagy 2008
-
- Nagy ZP, Sakkas D, Behr B. Symposium: Innovative techniques in human embryo viability assessment. Non‐invasive assessment of embryo viability by metabolomic profiling of culture media ('metabolomics'). Reproductive Biomedicine Online 2008;17(4):502‐7. [PUBMED: 18854103 ] - PubMed
Nel‐Themaat 2011
NICE 2013
-
- National Institute for Health and Care Excellence (NICE) [Fertility problems: assessment and treatment {Updated August 2016]]. Available from: https://www.nice.org.uk/guidance/cg156 (accessed 1 September 2016). - PubMed
Nicoli 2013
Oliver 1998
Pacella 2012
Piñero‐Sagredo 2010
Revelli 2009
RevMan 2014 [Computer program]
-
- Nordic Cochrane Centre, The Cochrane Collaboration. Review Manager 5 (RevMan 5). Version 5.3. Copenhagen: Nordic Cochrane Centre, The Cochrane Collaboration, 2014.
Sakkas 2005
-
- Sakkas D, Gardner DK. Noninvasive methods to assess embryo quality. Current Opinion in Obstetrics and Gynecology 2005;17(3):283‐8. [PUBMED: 15870563] - PubMed
SART 2009
-
- Society for Assisted Reproduction Technology (SART). Available from: http://www.sart.org/SART_Success_Rates/ 2009; Vol. (accessed 1 November 2016).
Seli 2008
-
- Seli E, Botros L, Sakkas D, Burns DH. Noninvasive metabolomic profiling of embryo culture media using proton nuclear magnetic resonance correlates with reproductive potential of embryos in women undergoing in vitro fertilization. Fertility and Sterility 2008;90(6):2183–9. [DOI: 10.1016/j.fertnstert.2008.07.1739] - DOI - PubMed
Seli 2011
-
- Seli E, Bruce C, Botros L, Henson M, Roos P, Judge K, et al. Receiver operating characteristic (ROC) analysis of day 5 morphology grading and metabolomic Viability Score on predicting implantation outcome. Journal of Assisted Reproduction and Genetics 2011;28(2):137‐44. [ 10.1007/s10815‐010‐9501‐9] - PMC - PubMed
Sfontouris 2015
-
- Sfontouris IA, Kolibianakis EM, Lainas GT, Navaratnarajah R, Tarlatzis BC, Lainas TG. Live birth rates using conventional in vitro fertilization compared to intracytoplasmic sperm injection in Bologna poor responders with a single oocyte retrieved. Journal of Assisted Reproduction and Genetics 2015;32(5):691‐7. [DOI: 10.1007/s10815-015-0459-5] - DOI - PMC - PubMed
Sheedy 2014
-
- Sheedy JR, Yoshida Y, Gardner DK. Direct injection mass spectrometry reveals unique metabolite profiles from spent human embryo culture media due to albumin source and pregnancy. Fertility and Sterility 2014;102(3 Suppl):e212‐3. [DOI: 10.1016/j.fertnstert.2014.07.718] - DOI
Singh 2007
-
- Singh R, Sinclair KD. Metabolomics: approaches to assessing oocyte and embryo quality. Theriogenology 2007;1(68 Suppl 1):S56‐62. [10.1016/j.theriogenology.2007.04.007] - PubMed
Siristatidis 2015
Uyar 2012
Uyar 2014
Valckx 2012
-
- Valckx SD, Pauw I, Neubourg D, Inion I, Berth M, Fransen E, et al. BMI‐related metabolic composition of the follicular fluid of women undergoing assisted reproductive treatment and the consequences for oocyte and embryo quality. Human Reproduction 2012;27(12):3531‐9. [DOI: 10.1093/humrep/des350] - DOI - PubMed
Varghese 2007
Vergouw 2010
-
- Vergouw CG. Non‐invasive metabolomic profiling to select single embryos for transfer in clinical IVF. Human Reproduction 2010;25(Supp 1):i1‐i339.
Vergouw 2011
-
- Vergouw CG, Botros LL, Judge K, Henson M, Roos P, Kostelijk EH, et al. Non‐invasive viability assessment of day 4 frozen‐thawed human embryos using Near Infrared Spectroscopy. Reproductive Biomedicine Online 2011;23(6):769–76. [10.1016/j.rbmo.2011.08.015] - PubMed
Vergouw 2014
-
- Vergouw CG, Heymans MW, Hardarson T, Sfontouris IA, Economou KA, Ahlström A, et al. No evidence that embryo selection by near‐infrared spectroscopy in addition to morphology is able to improve live birth rates: results from an individual patient data meta‐analysis. Human Reproduction 2014;29(3):455‐61. [DOI: 10.1093/humrep/det456] - DOI - PubMed
Vilella 2013
Vouk 2012
Wallace 2012
-
- Wallace M, Cottell E, Gibney MJ, McAuliffe FM, Wingfield M, Brennan L. An investigation into the relationship between the metabolic profile of follicular fluid, oocyte developmental potential, and implantation outcome. Fertility and Sterility 2012;97(5):1078‐84.e1‐8. [DOI: 10.1016/j.fertnstert.2012.01.122] - DOI - PubMed
Zegers‐Hochschild 2009
-
- Zegers‐Hochschild F, Adamson GD, Mouzon J, Ishihara O, Mansour R, Nygren K, et al. International Committee for Monitoring Assisted Reproductive Technology, World Health Organization. The International Committee for Monitoring Assisted Reproductive Technology (ICMART) and the World Health Organization (WHO) revised glossary on ART terminology, 2009. Human Reproduction 2009;24(11):2683‐7. [DOI: 10.1093/humrep/dep343] - DOI - PubMed
References to other published versions of this review
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources
Other Literature Sources
Medical