182 Bisphenol A, but not bisphenol S, affects key microRNAs during bovine oocyte maturation
Notice bibliographique
Résumé
Oocyte maturation involves crucial hormone-dependent events that are uniquely susceptible to toxic insults by endocrine disrupting chemicals (EDCs). Emerging evidence suggests that small RNAs, including microRNAs (miRNAs), may be key participants in the response to EDCs. Bisphenol A (BPA) and bisphenol S (BPS) are chemicals with detrimental health effects, with BPA negatively affecting oocyte quality. The mode of action of bisphenols at the epigenetic level is not clear. Several miRNAs have been identified as crucial regulators of gene expression during development. This study aimed to examine key miRNAs in response to BPA or BPS treatment during oocyte maturation. Primary forms (pri-miRNA) and mature forms of miR-21, miR-155, miR-34c, and miR-146a were quantified by quantitative (q)PCR in IVM bovine cumulus-oocyte complexes (COCs) and in vitro cultured (IVC) cumulus cells treated with BPA and BPS at physiologically significant doses (0.05 mg mL−1). Total RNA, containing both forms of microRNAs, was isolated from pools of 40 COCs on a minimum of three biological replicates. Primary miRNAs and mature miRNAs were reverse transcribed (RT) using qScript cDNA and microRNA/cDNA kits, respectively, and quantified by qPCR, with three technical replicates for each biological one. In addition, mRNA and protein quantification of the downstream target DNMT3A in IVC cumulus cells further enhanced our understanding of EDC interference in epigenetic regulations in female reproduction. Total RNA was isolated from cumulus cells, mRNA (1 μg) and mature miRNAs (0.5 μg) were RT separately and cDNA was quantified by qPCR, as described above. Expression values were normalized against two housekeeping genes selected by GeNorm analysis. Twenty micrograms of proteins extracted by sonication were loaded on a 8% acrylamide gel and analysed by western blotting. Densitometry analysis was performed on 3 separate blots with protein levels normalized to the loading control, β-actin. One-way ANOVA was used to determine statistical differences among treatment groups with P < 0.05 considered statistically significant. Results showed that BPA significantly increased miR-21 in COCs (P = 0.02) and cumulus cells (P = 0.01), increased pri-miR-21 in oocytes (P = 0.03), suppressed miR-34c in cumulus cells (P = 0.02), increased miR-155 in denuded oocytes (P = 0.04), and had no effect on miR-146a. No changes were observed in response to BPS. Experiments in IVC cumulus cells showed similar miRNA profiles: miR-21 and miR-155 were significantly overexpressed in BPA-treated cells (P = 0.04); however, miR-34c and miR-146a were not affected. Messenger RNA levels of DNMT3A increased (P = 0.02) and protein levels of DNMT3A decreased in response to BPA (P = 0.005). Overall, this study presents novel findings of BPA-induced miRNA dysregulation in IVM bovine oocytes and in IVC bovine cumulus cells. We can speculate that miR-21 participates in the BPA-induced dysregulation of DNMT3A, contributing to decreased fertility. This study did not show any effect of BPS on microRNA expression, suggesting an alternative mechanistic pathway for this analogue.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| 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 | 0,000 | 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) | 0,000 | 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 tête enseignante, 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 ».