Uterine perivascular adipose tissue: A novel regulator of uterine artery hemodynamics during normal pregnancy
Notice bibliographique
Résumé
Introduction During pregnancy, uterine artery (UtA) blood flow increases compared to non‐pregnant state, in part due to reductions in uterine artery tone. The main objective of this study was to determine the role of adipose tissue surrounding UtA (perivascular adipose tissue, PVAT) in pregnancy‐induced changes in UtA blood flow and vasodilatory capacity. We hypothesized that uterine PVAT augments UtA blood flow and potentiates UtA dilatory responses in pregnant rats. Also, we hypothesized that pregnancy induces distinct changes in uterine PVAT morphology and gene expression as compared to other adipose depots. Methods Blood flow and vascular reactivity were measured in UtA in pregnant and non‐pregnant rats using transonic perivascular probes and wire myography techniques, respectively. Reactivity to acetylcholine (ACh: induces endothelium‐dependent relaxation, 10 −9 – 3×10 −5 M) and sodium nitroprusside (SNP: induces endothelium‐independent relaxation, 10 −11 – 3×10 −5 M) was measured in isolated UtA in the presence and absence of PVAT‐conditioned media (PVAT media , 30‐min incubation). Adipocyte size was determined in hematoxylin and eosin‐stained sections of uterine PVAT and ovarian adipose tissue. Gene expression was determined in uterine and periaortic PVAT using qRT‐PCR. Results Maximum and minimum uterine artery blood flow (UBF) were increased in UtA with intact PVAT compared to PVAT‐denuded UtA from pregnant rats (UBF max (mL/min); denuded: 1.47 ± 0.3 vs. intact: 2.23 ± 0.2, p = 0.01; UBF min (mL/min); denuded: 0.71 ± 0.1 vs. intact: 1.16 ± 0.1, p = 0.0002). Uterine PVAT had no effect on UBF in non‐pregnant rats (p>0.9). UtA from pregnant and non‐pregnant rats incubated with PVAT media had reduced sensitivity to ACh compared to UtA controls [Pregnant, p EC 50 ; −PVAT media : 7.14 ± 0.1 vs. +PVAT media : 6.38 ± 0.2, p = 0.0006; Non‐pregnant, p EC 50 ; −PVAT media : 7.01 ± 0.1 vs. +PVAT media : 6.50 ± 0.1, p = 0.005). PVAT media had no effect on UtA sensitivity to SNP in either pregnant (p=0.48) or non‐pregnant rats (p = 0.2). Adipocyte area was greater in ovarian adipose tissue from pregnant compared to nonpregnant rats (Area (μm 2 /unit cell); Non‐pregnant: 563.6 ± 76.6 vs. Pregnant: 857.6 ± 31.0, p = 0.02) but there were no group differences in uterine PVAT morphology (p = 0.6). Expression of uncoupling protein‐1 (UCP‐1) was downregulated (p = 0.02) in aortic PVAT but was unchanged in uterine PVAT (p = 0.4). Expression of peroxisome proliferator‐activated receptor gamma ( PPAR‐γ) , adiponectin receptor (AdipoR1) , and leptin were downregulated in uterine PVAT (p ≤ 0.02) but not in aortic PVAT (p ≥ 0.6). Conclusions Uterine PVAT plays a regulatory role in uterine artery hemodynamics and reactivity during normal pregnancy and has a distinct and differential gene profile as compared to other perivascular depots. Ongoing studies investigate the effects of pregnancy on cross‐talk between PVAT and maternal uterine arteries. Support or Funding Information University of North Texas Health Science Center Pilot Grant This abstract is from the Experimental Biology 2019 Meeting. There is no full text article associated with this abstract published in The FASEB Journal .
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 | 0,001 |
| 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 ».