MP65-19 ERECTILE DYSFUNCTION IN PEYRONIE’S DISEASE IS INDEPENDENT OF CAVERNOSAL INFLAMMATION AND FIBROSIS
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Résumé
You have accessJournal of UrologySexual Function/Dysfunction: Peyronie’s Disease (MP65)1 Apr 2019MP65-19 ERECTILE DYSFUNCTION IN PEYRONIE’S DISEASE IS INDEPENDENT OF CAVERNOSAL INFLAMMATION AND FIBROSIS Jeffrey Campbell*, Uros Milenkovic, Dorota J. Hawksworth, Xiaopu Liu, Maarten Albersen, Arthur L. Burnett, and Trinity J. Bivalacqua Jeffrey Campbell*Jeffrey Campbell* More articles by this author , Uros MilenkovicUros Milenkovic More articles by this author , Dorota J. HawksworthDorota J. Hawksworth More articles by this author , Xiaopu LiuXiaopu Liu More articles by this author , Maarten AlbersenMaarten Albersen More articles by this author , Arthur L. BurnettArthur L. Burnett More articles by this author , and Trinity J. BivalacquaTrinity J. Bivalacqua More articles by this author View All Author Informationhttps://doi.org/10.1097/01.JU.0000556931.49096.4fAboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail Abstract INTRODUCTION AND OBJECTIVES: Peyronie’s disease (PD) is a connective tissue disorder of the tunica albuginea (TA) that results in penile deformity and has a high association with erectile dysfunction (ED). The mechanism of cavernosal dysfunction and subsequent ED is not well understood. Using human corpora cavernosa tissue, we explored the pathophysiology of ED in PD patients to determine if erectile tissue fibrosis occurs in a similar fashion as in the TA. METHODS: Human corpora cavernosa tissues were removed during inflatable penile prosthesis implantation. Four patient groups were categorized as: (1) no PD and no ED (N=3), (2) PD and no ED (N=7), (3) PD and mild ED (N=7) and (4) PD and severe ED (N=7). Diagnosis of PD was based on patient history and clinical examination. ED was categorized by penile Doppler-ultrasound findings as peak systolic velocity (PSV) ≤25mmHg/s (severe), between 25-35mmHg/s (mild) or PSV ≥35mmHg/s (no ED). Immunohistochemistry (IHC) for α-smooth muscle actin (α-SMA), Masson’s trichrome and immunofluorescence (IF) for neuronal nitric oxide synthetase (nNOS) and CD34 (endothelial marker) were performed. Gene expressions of transforming growth factor (TGF)-β1, nNOS, endothelial NOS, inducible NOS, and Rho-GDI were measured by quantitative polymerase chain reaction (qPCR). RNA extracted from tissue samples was assayed by Nanostring nCounter ultra-high-throughput gene expression system for 255 inflammatory gene sets, including the common genes associated with TA fibrosis in PD. RESULTS: There were no significant differences in baseline clinical or demographic characteristics. Using IHC and IF we did not observe a significant difference in markers for smooth muscle, fibrosis, or endothelial content, suggesting an absence of generalised wpenile corporal fibrosis. There was no significant difference in our gene expression by qPCR analysis (p=0.8). Nanostring bioinformatical analysis did not show a significant difference in any of the 255 inflammatory genes between the 4 groups. CONCLUSIONS: This is the first study that examines ED using human erectile tissue from PD patients. Gene expression analysis of corpora cavernosa did not demonstrate the fibrosis or inflammation typically observed in the TA of PD. Our findings suggest that PD-related ED should not be attributed to inflammation or fibrosis in the corpora cavernosa and as such, favors a mechanical etiology of ED. Source of Funding: None London, Canada; Leuven, Belgium; Baltimore, MD; Leuven, Belgium; Baltimore, MD© 2019 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 201Issue Supplement 4April 2019Page: e957-e957 Advertisement Copyright & Permissions© 2019 by American Urological Association Education and Research, Inc.MetricsAuthor Information Jeffrey Campbell* More articles by this author Uros Milenkovic More articles by this author Dorota J. Hawksworth More articles by this author Xiaopu Liu More articles by this author Maarten Albersen More articles by this author Arthur L. Burnett More articles by this author Trinity J. Bivalacqua More articles by this author Expand All Advertisement PDF downloadLoading ...
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 ».