60 High lipid exposure during in vitro maturation alters the lipid profile of bovine oocyte and benefits blastocyst development
Notice bibliographique
Résumé
Lipid metabolism provides a potent source of energy and has an important role in the acquisition of oocyte competence. However, there are conflicting reports about how lipid exposure during in vitro maturation (IVM) impacts the gamete and further embryo development. In this study, we performed IVM of oocytes in the presence of lipid-rich culture media and used a broad lipid screening to accurately map the impact on the lipid profile and developmental potential. For that, nonpolar lipids were extracted from fetal bovine serum (FBS) with organic solvents (Bligh-Dyer method) and then used to supplement IVM medium (TCM-199 bicarbonate + 10% FBS, hormones, pyruvate and antibiotics). COCs obtained from abattoir ovaries were submitted to IVM (4 biological replicates) in 2 groups: OC (control; IVM medium) and OHL (high lipid; IVM medium supplemented with extra 10% FBS nonpolar lipids). After 24 h, we collected mature oocytes and those remaining followed to IVF and then to IVC (synthetic oviductal fluid with amino acids, SOFaa, with 5% FBS) for 7 days at 38.5°C, 20% O2, and 5% CO2 in air in high humidity. Expanded blastocysts were collected (BC and BHL) and blastocyst rates were assessed. Lipid extracts of individual oocytes and embryos (n = 10/group) were analysed by multiple reaction monitoring (MRM)-profiling mass spectrometry. A total of 379 lipids from 10 classes were investigated [triacylglycerol (TAG), cholesteryl esters (CE), free fatty acids (FFA), acyl-carnitine, sphingomyelin (SM) and phospholipids derived from choline (PC), ethanolamine (PE), glycerol (PG), serine (PS), and inositol (PI)]. Exploratory data analysis was performed by principal component analysis (PCA; Metaboanalyst 4.0), and fold-change (FC) values were calculated based on the relative intensity of lipid ions (FC > 2 and P < 0.05). IVC rates were compared by t-test (α = 5%). PCA revealed a clear distinction in the lipid content for both oocytes and blastocysts (control vs. treated). More specifically, there was 2-fold enrichment for total TAG and CE in control groups and a 1.5-fold enrichment for total FFA in the treated groups at the oocyte and the blastocyst stages. Surprisingly, the average blastocyst rate was higher in the group derived from oocytes exposed to a high-lipid environment (41.56 ± 7.73 vs. 22.62 ± 1.67; P = 0.003), which led us to investigate specific lipid ions. Groups OHL and BHL had increased contents of structural and signalling phospholipids (PC, SM, PE, and PS) and up to 3 times more oleic and linoleic acids, which have been associated with improved oocyte maturation and blastocyst development. Here, we demonstrate how distinct lipid exposures during IVM can robustly alter the lipid profile of oocytes. But more interestingly, it is clear that these are long-term effects, still observed at the blastocyst stage. More studies are required to verify the metabolic impact of this alternative lipid supplementation; however, these results indicate that high lipid exposure is not necessarily detrimental and, at a certain point, may even counteract lipid accumulation commonly observed during in vitro embryo production.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».