2013
DOI: 10.1530/rep-13-0142
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Differences in the metabolomic signatures of porcine follicular fluid collected from environments associated with good and poor oocyte quality

Abstract: 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… Show more

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Cited by 44 publications
(37 citation statements)
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“…Lactate dehydrogenase catalyses the conversion of pyruvate to lactate, which in cows was at a reduced level in large FF compared with small FF. The finding that glucose levels increased and lactate levels decreased as follicle size increased is consistent with previous findings in cattle (Landau et al, 2000;Leroy et al, 2004), sheep (Ying et al, 2011), buffalo (Nandi et al, 2008), and pigs (Bertoldo et al, 2013). These results support the proposal that there is a distinct shift in carbohydrate metabolism as follicle development progresses and dominance is attained.…”
Section: Discussionsupporting
confidence: 91%
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“…Lactate dehydrogenase catalyses the conversion of pyruvate to lactate, which in cows was at a reduced level in large FF compared with small FF. The finding that glucose levels increased and lactate levels decreased as follicle size increased is consistent with previous findings in cattle (Landau et al, 2000;Leroy et al, 2004), sheep (Ying et al, 2011), buffalo (Nandi et al, 2008), and pigs (Bertoldo et al, 2013). These results support the proposal that there is a distinct shift in carbohydrate metabolism as follicle development progresses and dominance is attained.…”
Section: Discussionsupporting
confidence: 91%
“…As previously described (Bertoldo et al, 2013), a linear mixed model was fitted to the data using the statistical software package GenStat 14 th edition (VSN International, Ltd., Hemel Hempstead, UK). For each metabolite, the treatment effects ''follicle type'' and ''species'' were assessed for significance ( p < 0.05), as was treatment interaction.…”
Section: Discussionmentioning
confidence: 99%
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