Literature DB >> 21782167

Oxygen consumption is a quality marker for human oocyte competence conditioned by ovarian stimulation regimens.

Aberto Tejera1, Javier Herrero, M J de Los Santos, Nicolás Garrido, Niels Ramsing, Marcos Meseguer.   

Abstract

OBJECTIVE: To evaluate the effect of different ovarian stimulation protocols on oocyte respiration and to investigate the relationship between oocyte oxygen consumption and reproductive outcome.
DESIGN: Prospective observational cohort study.
SETTING: Infertility clinic in a university hospital. PATIENT(S): A total of 349 oocytes from 56 IVF treatment cycles in our oocyte donation program. INTERVENTION(S): None. MAIN OUTCOME MEASURE(S): Average oocyte oxygen consumption rate in fmol/s. We correlated oxygen consumption values with ovarian stimulation features, fertilization, embryo quality on days 2 and 3, and implantation. RESULT(S): Differences in the measured oxygen consumption rates were found depending on which type of gonadotropins were used in the stimulation protocol. Higher consumption rates were found for oocytes that underwent normal fertilization compared with rates from nonfertilized or abnormal oocytes (odds ratio = 1.340; 95% confidence intervals = 1.037-1.732). Furthermore, higher oxygen consumption was observed for those oocytes which generated embryos that implanted compared with those that did not implant (6.21 ± 0.849 fmol/s vs. 5.23 ± 0.345 fmol/s. CONCLUSION(S): Measurement of oxygen consumption rates for individual oocytes before fertilization provides a noninvasive marker of oocyte quality and hence a quantitative assessment of the reproductive potential for the oocyte.
Copyright © 2011 American Society for Reproductive Medicine. Published by Elsevier Inc. All rights reserved.

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Year:  2011        PMID: 21782167     DOI: 10.1016/j.fertnstert.2011.06.059

Source DB:  PubMed          Journal:  Fertil Steril        ISSN: 0015-0282            Impact factor:   7.329


  16 in total

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Review 2.  New molecular markers for the evaluation of gamete quality.

Authors:  G Ruvolo; R R Fattouh; L Bosco; A M Brucculeri; E Cittadini
Journal:  J Assist Reprod Genet       Date:  2013-02       Impact factor: 3.412

3.  Biodynamic imaging of live porcine oocytes, zygotes and blastocysts for viability assessment in assisted reproductive technologies.

Authors:  Ran An; Chunmin Wang; John Turek; Zoltan Machaty; David D Nolte
Journal:  Biomed Opt Express       Date:  2015-02-25       Impact factor: 3.732

4.  Cumulus cell acetyl-CoA metabolism from acetate is associated with maternal age but only partially with oocyte maturity.

Authors:  Sharon Anderson; Peining Xu; Alexander J Frey; Jason R Goodspeed; Mary T Doan; John J Orris; Nicolle Clements; Michael J Glassner; Nathaniel W Snyder
Journal:  Syst Biol Reprod Med       Date:  2021-12-28       Impact factor: 3.061

5.  Optical imaging detects metabolic signatures associated with oocyte quality†.

Authors:  Tiffany C Y Tan; Hannah M Brown; Jeremy G Thompson; Sanam Mustafa; Kylie R Dunning
Journal:  Biol Reprod       Date:  2022-10-11       Impact factor: 4.161

6.  Equine maternal aging affects oocyte lipid content, metabolic function and developmental potential.

Authors:  Giovana D Catandi; Yusra M Obeidat; Corey D Broeckling; Thomas W Chen; Adam J Chicco; Elaine M Carnevale
Journal:  Reproduction       Date:  2021-04       Impact factor: 3.906

7.  Oxygen consumption rate of early pre-antral follicles from vitrified human ovarian cortical tissue.

Authors:  Takayuki Ishikawa; Toshihiko Kyoya; Yusuke Nakamura; Eimei Sato; Tatsuhiro Tomiyama; Koichi Kyono
Journal:  J Reprod Dev       Date:  2014-09-29       Impact factor: 2.214

8.  Evaluation of oxygen consumption in human vitrified and warmed pre-antral follicles after prolonged low temperatures.

Authors:  Toshihiko Kyoya; Yusuke Nakamura; Shizue Miyatani; Tomoko Miyagawa; Tatsuhiro Tomiyama; Koichi Kyono
Journal:  Reprod Med Biol       Date:  2013-08-08

9.  Amino acid turnover by human oocytes is influenced by gamete developmental competence, patient characteristics and gonadotrophin treatment.

Authors:  K E Hemmings; D Maruthini; S Vyjayanthi; J E Hogg; A H Balen; B K Campbell; H J Leese; H M Picton
Journal:  Hum Reprod       Date:  2013-01-18       Impact factor: 6.918

Review 10.  Metabolite Profiling in the Pursuit of Biomarkers for IVF Outcome: The Case for Metabolomics Studies.

Authors:  C McRae; V Sharma; J Fisher
Journal:  Int J Reprod Med       Date:  2013-01-16
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