Understanding subfertility at a molecular level in the female through the application of nuclear magnetic resonance (NMR) spectroscopy

Baskind, N. Ellissa; McRae, Cassey; Sharma, Vinay; Fisher, Julie

doi:10.1093/humupd/dmq039

Cited by 30 publications

(18 citation statements)

References 99 publications

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“…Numerous methods have been employed to characterise components of FF in efforts to increase our understanding of oocyte maturation and identify predictors of oocyte quality. To date, there are relatively few reports of the use of NMR spectroscopy to analyse FF samples (reviewed by Baskind et al (2011)), and to our knowledge, there is only one other report of this method being used to determine the composition of porcine FF (Gosden et al 1990). Recent reports of the use of this technology to identify potential biomarkers of oocyte quality (Pinero-Sagredo et al 2010, McRae et al 2012, Wallace et al 2012 and polycystic ovarian syndrome (Atiomo & Daykin 2012) in FF collected from women undergoing fertility treatments highlight its potential.…”

Section: Discussionmentioning

confidence: 99%

“…In contrast to transcriptomic or proteomic analysis, which observes effects on gene and protein expression, respectively, metabolomics has the advantage of understanding the biological processes being completed as it is capable of providing biological endpoint markers that occur as a result of environmental change or altered gene function (Lindon et al 2004, Baskind et al 2011. By analysing different FF samples, the metabolic profiles obtained can act as fingerprints or signatures for certain physiological states (Lindon et al 2004).…”

Section: Introductionmentioning

confidence: 99%

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Differences in the metabolomic signatures of porcine follicular fluid collected from environments associated with good and poor oocyte quality

Bertoldo¹,

Nadal-Desbarats²,

Gérard³

et al. 2013

Reproduction

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The microenvironment of the developing follicle is critical to the acquisition of oocyte developmental competence, which is influenced by several factors including follicle size and season. The aim of this study was to characterise the metabolomic signatures of porcine follicular fluid (FF) collected from good and poor follicular environments, using high-resolution proton nuclear magnetic resonance ( 1 H-NMR) spectroscopy. Sow ovaries were collected at slaughter, 4 days after weaning, in summer and winter. The contents of small (3-4 mm) and large (5-8 mm) diameter follicles were aspirated and pooled separately for each ovary pair. Groups classified as summer-small (nZ8), summer-large (nZ15), winter-small (nZ9) and winter-large (nZ15) were analysed by 1 H-NMR spectroscopy.The concentrations of 11 metabolites differed due to follicle size alone (P!0.05), including glucose, lactate, hypoxanthine and five amino acids. The concentrations of all these metabolites, except for glucose, were lower in large FF compared with small FF. Significant interaction effects of follicle size and season were found for the concentrations of glutamate, glycine, N-acetyl groups and uridine. Succinate was the only metabolite that differed in concentration due to season alone (P!0.05). The FF levels of progesterone, androstenedione and oestradiol were correlated with the concentrations of most of the metabolites examined. The results indicate that there is a distinct shift in follicular glucose metabolism as follicles increase in diameter and suggest that follicular cells may be more vulnerable to oxidative stress during the summer months. Our findings demonstrate the power of 1 H-NMR spectroscopy to expand our understanding of the dynamic and complex microenvironment of the developing follicle.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Differences in the metabolomic signatures of porcine follicular fluid collected from environments associated with good and poor oocyte quality

Bertoldo¹,

Nadal-Desbarats²,

Gérard³

et al. 2013

Reproduction

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“…Several other studies have examined FF composition using NMR technology and found associations between lipoproteins and oocyte/embryo outcomes [61][62][63][64]. However, these studies were limited by the absence of a Bone-follicle, oneembryo^design and most were not conducted in humans.…”

Section: Geometric Mean Concentration (µMol/l) Hdl-c Subfractions (Nm)mentioning

confidence: 99%

Associations between follicular fluid high density lipoprotein particle components and embryo quality among in vitro fertilization patients

Kim

Bloom

Browne

et al. 2016

J Assist Reprod Genet

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Purpose Follicular redox balance is likely to be important for embryo quality during in vitro fertilization (IVF), and the anti-oxidative high desity lipoprotein (HDL) particle is the sole lipoprotein measured in follicular fluid (FF). Therefore, we investigated FF HDL particle components as predictors of embryo quality during IVF. Methods Two research follicles collected from each participant were individually tracked, and 103 women having at least one developed embryo were included in the analysis. Concentrations of 15 non-cholesterol HDL particle components and 26 HDL-cholesterol (HDL-C) particle size subfractions were determined. Embryo quality was assessed for embryo cell number, embryo fragmentation, and embryo symmetry. Multivariable Poisson regression with a sandwich variance estimator was used to evaluate associations between HDL particle components and embryo quality, adjusted for covariates. Results Higher γ-tocopherol concentration was associated with less embryo fragmentation (relative risk [RR] = 4.43; 95 % confidence interval [CI] 1.78, 11.06), and higher apolipoprotein A-1 concentration was associated with full embryo symmetry (RR = 3.92; 95 % CI 1.56, 9.90). Higher concentrations of HDL-C subfractions in the large and medium particle size ranges were associated with poorer embryo quality. Conclusions FF HDL lipophilic micronutrients and protein components, as well as HDL-C particle size, may be important predictors of embryo quality during IVF.

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“…Several groups described concentrations of HDL-particle associated lipids, proteins, micronutrients and enzyme activities in the human ovarian follicle (3, 4, 6–10). Interest in the use of FF as a source of biomarkers predictive of IVF outcomes has gained tremendous momentum, although with limited success to date (5, 11). …”

Section: Introductionmentioning

confidence: 99%

Variability in the components of high-density lipoprotein particles measured in human ovarian follicular fluid: a cross-sectional analysis

Bloom

Kim

Fujimoto

et al. 2014

Fertility and Sterility

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Objective Assess the variability of follicular fluid (FF) high-density lipoprotein (HDL) particle components. Design FF specimens were collected from two contralateral follicles on the day of oocyte retrieval and analyzed for HDL components. We characterized analytes by age, body mass index (BMI), race and smoking using a cross-sectional design. Biological variability was assessed using two-stage nested analysis of variance. Setting Reproductive health center. Patients One-hundred eighty in vitro fertilization (IVF) patients. Interventions None. Main Outcome Measures Nineteen HDL components including HDL-cholesterol and free (unesterified) and esterified forms, phospholipids, triglycerides, apolipoproteins A-1 and A-2, paraoxonase 1 (PON1) activities, and seven lipophilic vitamins and micronutrients. Results For some analytes, a majority of total measurement variability was attributed to sources between-follicles, suggesting an important role for the integrity of the blood-follicle-barrier and in situ remodeling of plasma derived constituents. For other analytes, variability was mostly attributed to sources between-women, likely indicative of plasma levels. Variability between-follicles decreased with increasing age, differed by BMI and smoking, and generally were lower for Asians and women with diminished ovarian reserve. Conclusions Substantial variability in FF HDL components exist between-follicles among women undergoing IVF, as well as between-women by age, BMI, race, smoking and by infertility diagnosis.

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Understanding subfertility at a molecular level in the female through the application of nuclear magnetic resonance (NMR) spectroscopy

Cited by 30 publications

References 99 publications

Differences in the metabolomic signatures of porcine follicular fluid collected from environments associated with good and poor oocyte quality

Differences in the metabolomic signatures of porcine follicular fluid collected from environments associated with good and poor oocyte quality

Associations between follicular fluid high density lipoprotein particle components and embryo quality among in vitro fertilization patients

Variability in the components of high-density lipoprotein particles measured in human ovarian follicular fluid: a cross-sectional analysis

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