P107 Comparing the Colonic Tissue Proteome of Active and Inactive Ulcerative Colitis
Notice bibliographique
Résumé
Abstract Background Ulcerative colitis (UC) is an inflammatory bowel disease that begins at the rectum and can advance proximally and continuously throughout the colon. In this pilot study, we aim to differentiate the protein expression between active and inactive patients, comparing the same tissue region of the colon pairwise between active and inactive UC. Additionally, we are looking to build on previous work to determine which proteins are differentially proteolyzed in active UC and postulate whether this alternative post-translational processing significantly correlates to disease activity. Here, we aim to use a multi -omics approach to spatially profile the entire large intestine. Methods We used an N-terminomics proteomic approach to determine whether proteins are differentially expressed and proteolytically processed in all colon segments of patients with active and inactive UC. Colon tissues were retrieved from patients and classified according to disease activity. Five active and five inactive UC patients were compared from each of the colonic regions (rectum, sigmoid, transverse, ascending colon). Samples were quantified by liquid chromatography and tandem mass spectrometry (LC-MS/MS). Peptides were identified and matched at a 5% false discovery rate (FDR). Boxplot analysis was used to determine the upper and lower threshold for protein fold changes between conditions, and various bioinformatic software (MetaScape, StringDB, TopFINDer) were used to analyze the data. Results Primary analysis discovered a combined 36 statistically changing proteins in patients with active disease, including several that have previously been published and others that are direct interactors with known biomarkers for active UC, including calmodulin and S100A9. Interestingly, S100A9 was translated significantly more in the transverse colon of patients with active UC but was not in other colonic regions. Protease activity was noticeably different in active and inactive UC, in addition to having unique activity dependent on the region of the colon from which the samples were acquired. For example, delta-catenin was processed more in active UC in the rectum and transverse colon, whereas it’s processing was enriched in inactive UC in the sigmoid colon. Conclusion While this pilot study is incomplete, the promising initial results exhibit the power of a proteomics and N-terminomics approach to elucidate the mechanisms that contribute to UC pathogenesis. There appears to be a pattern in how proteins and their altered proteolysis leads to an increased likelihood of active UC.
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 ».