MP77-03 THE MICROBIOME OF HUNNER LESIONS IN INTERSTITIAL CYSTITIS/BLADDER PAIN SYNDROME (IC/BPS)
Notice bibliographique
Résumé
You have accessJournal of UrologyInfections/Inflammation/Cystic Disease of the Genitourinary Tract: Kidney & Bladder II (MP77)1 Apr 2020MP77-03 THE MICROBIOME OF HUNNER LESIONS IN INTERSTITIAL CYSTITIS/BLADDER PAIN SYNDROME (IC/BPS) J. Curtis Nickel*, Garth Erhlich, R. Christopher Doiron, Kerri-Lynn Kelly, and Joshua Earl J. Curtis Nickel*J. Curtis Nickel* More articles by this author , Garth ErhlichGarth Erhlich More articles by this author , R. Christopher DoironR. Christopher Doiron More articles by this author , Kerri-Lynn KellyKerri-Lynn Kelly More articles by this author , and Joshua EarlJoshua Earl More articles by this author View All Author Informationhttps://doi.org/10.1097/JU.0000000000000963.03AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail Abstract INTRODUCTION AND OBJECTIVE: Hunner Lesions (HL) are distinct focal inflammatory areas in the bladder mucosa observed in a minority of patients diagnosed with IC/BPS. This is the first comprehensive evaluation of the microbiome of HL patients using a case-control design in an IC/BPS patient population. METHODS: The bacterial microbiota of mid-stream urine specimens from HL IC/BPS and age/gender matched IC/BPS subjects with no Hunner Lesions (NHL) were examined using state of the art next generation full-length 16S gene sequencing. The differential abundances and diversity of species were characterized and compared (R package DESeq2 v1.24.0) for HL and NHL as well as gender-specific HL and NHL subjects. RESULTS: IC/BPS subjects (total 59; 29 HL and 30 NHL; 43 female and 16 male) were analyzed as species grouped by HL/NHL and female/male designations. There were 10 (p < 0.05) significant species that differentiated HL from NHL urine specimens (though not significant after multiple testing correction). These included Streptococcus, Propionibacterium, Campylobacter, Atopobium, Anaerococcus, Actinomyces, Prevotella, Actinotignum, Gardnerella, and Peptoniphilus species. However, the difference between male and female subjects accounted for the majority of the variance observed in the total IC/BPS population. Similar findings were observed in respect to abundance analyses. In the female data set, there are 7 species abundances that significantly differ (p<0.05) between HL and NHL though only a single Lactobacillus species (L. crispatus) differed significantly after multiple testing correction. In the male subset, there were 11 species that were significantly different and the top 4 species were still significant after correction. The differences observed between HL and NHL species abundance appears to be driven, in part, by the male HL subjects. Diversity metrics (Shannon Diversity and Effective Number; see Figure) shows that both female HL and NHL are dominated by 5 different species and male HL by 10, while male NHL are less diverse at 6. CONCLUSIONS: There is a differential abundance of species in HL vs NHL, with the difference more pronounced in the male subset and much less clear between the female IC/BPS groups. Species differences between HL and NHL subjects are overshadowed by the strong differential clustering of species based on gender. Source of Funding: Canadian Research Chair Program © 2020 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 203Issue Supplement 4April 2020Page: e1163-e1164 Advertisement Copyright & Permissions© 2020 by American Urological Association Education and Research, Inc.MetricsAuthor Information J. Curtis Nickel* More articles by this author Garth Erhlich More articles by this author R. Christopher Doiron More articles by this author Kerri-Lynn Kelly More articles by this author Joshua Earl 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 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 | 0,001 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,002 | 0,001 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,138 | 0,024 |
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 ».