P736Histone marks induced by the methyltransferase SETD7 modulate angiogenic response in diabetes
Notice bibliographique
Résumé
Abstract Introduction Despite advances in revascularization strategies, type 2 diabetic (T2D) patients with peripheral artery disease (PAD) continue to have a high risk of limb amputation. Hence, strategies that promote vascularization can be considered as a novel therapeutic option in T2D patients with PAD. Epigenetic modifications of histones and DNA have emerged as key modulators of gene expression. Mono-methylation of histone 3 at lysine 4 (H3K4m1) – a specific epigenetic signature induced by the methyltransferase SETD7 – favours a chromatin conformation enabling the transcription of genes involved in inflammation and oxidative stress. Purpose To investigate whether SETD7 modulates angiogenesis in experimental diabetes. Methods Human aortic endothelial cells (HAECs) were cultured in growth factor-free medium and exposed either to normal glucose (NG, 5 mM) or high glucose (HG, 25 mM) for 48 hours. SETD7 protein and H3K4me1 levels were investigated by Western blot and chromatin immunoprecipitation (ChIP). Knockdown of SETD7 was achieved by small interfering RNA (siRNA). Pharmacological blockade of SETD7 was performed by using the highly selective inhibitor (R)-PFI-2, while its inactive enantiomer, (S)-PFI-2, was used as a control. Scratch and tube formation assays were performed to investigate the impact of SETD7 on angiogenic properties of HAECs. RNA sequencing (RNA-seq) and Ingenuity Pathway Analysis (IPA) were employed to unveil putative genes regulated by SETD7 in HG-treated HAECs. SETD7 expression was also investigated in muscular specimens isolated from type 2 diabetic (db/db) mice and non-diabetic mice undergoing hindlimb ischemia for 21 days. Results HG exposure in HAECs led to a time-dependent increase of both SETD7 gene and protein expression, as compared to NG. SETD7 upregulation in HG-treated HAECs was associated with an increase of H3K4me1 levels as well as with impaired endothelial cell migration and tube formation. Of interest, both gene silencing and pharmacological blockade of SETD7 rescued hyperglycemia-induced impairment of angiogenic properties in HAECs. RNA-seq in HG-treated HAECs with and without SETD7 depletion unveiled an array of differentially expressed genes, which were mainly involved in blood vessel growth and angiogenic response, as assessed by IPA analysis. Among dysregulated genes, ChIP assays showed that SETD7-dependent chromatin changes enabled the transcription of Semaphorin 3G (SEMA-3G), a negative regulator of endothelial cell migration. Indeed, gene silencing of SETD7 blunted SEMA-3G expression in HAECs exposed to HG. Consistent with our in vitro observations, SETD7 was upregulated in adductor muscle specimens from db/db mice undergoing hindlimb ischemia as compared to non-diabetic animals. Conclusions Pharmacological blockade of SETD7 by (R)-PFI-2 may represent a potential therapeutic approach to boost post-ischemic vascularization in T2D patients with PAD.
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 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 | 0,000 | 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) | 0,003 | 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 ».