The role of fecal matrix metalloprotease-9 as a non-invasive marker in diagnosis and assessment of clinical activity in inflammatory bowel disease patients
Notice bibliographique
Résumé
Abstract Background Inflammatory bowel disease is characterized by chronic and relapsing inflammation of the gastrointestinal tract, including two prominent forms: Crohn’s disease and ulcerative colitis. Determining diagnostic biomarkers for predicting disease activity and treatment response remains a challenging aspect. Aim of the work The purpose of our research was to compare fecal CP and fecal MMP-9, two non-invasive biomarkers for inflammatory bowel disease (IBD), and to find out how fecal MMP-9 levels relate to disease activity by looking at how they relate to clinical, endoscopic, and histologic scores of disease activity. Patients and methods This study was performed on 80 subjects divided into 3 groups: group A: 30 patients with Crohn’s disease evidenced by endoscopy ileocolonoscopy, upper GI endoscopy, and tissue biopsy (15 patients with active disease and 15 patients in remission). Group B: 30 patients with ulcerative colitis disease evidenced by colonoscopy and tissue biopsy (15 patients with active disease and 15 patients in remission). Group C: 20 age-matched and sex-matched healthy controls. All participants underwent a thorough history review, comprehensive physical examination, complete laboratory tests, and C-reactive protein measurements. A quantitative enzyme-linked immunosorbent assay was used to determine the levels of fecal matrix metalloproteinase MMP 9 for both the patients and the controls. Ulcerative colitis was evaluated using the Mayo score, Montreal classification, and the Riley histological score. Additionally, Crohn’s disease was assessed with the Crohn’s Disease Activity Index, the Simple Endoscopic Score for Crohn’s Disease, and the D’Haens histological score. Results Comparing fecal MMP-9 with fecal calprotectin (FC), we found that fecal MMP-9 was superior to FC in differentiating active Crohn’s disease from inactive Crohn’s disease, although there was no significant difference between FC and MMP-9 (P-value = 0.561). However, in ulcerative colitis, FC was superior to MMP-9 in distinguishing active UC from inactive UC, but again, there was no significant difference between FC and MMP-9 (P-value = 0.0731).In both the ulcerative colitis and Crohn’s disease groups, fecal MMP-9 could discriminate between patients in remission and those with active disease. Fecal matrix metalloproteinase-9 (MMP-9) was discovered to be a significant marker for assessing the clinical activity of both Crohn’s disease (CD) and ulcerative colitis (UC), with an AUC of 0.998 for CD and 0.991 for UC. Fecal MMP-9 demonstrated great sensitivity (93.33%), specificity (100%), positive predictive value (PPV) of 100%, and negative predictive value (NPV) of 93.7% (with a P-value < 0.001) using cutoff values of > 0.34 ng/mL for CD and > 0.36 ng/mL for UC. There was a strong positive correlation between fecal MMP-9 and endoscopic and clinical scores of disease activity. Conclusion Fecal MMP-9 has emerged as a promising biomarker for evaluating the clinical activity of both Crohn’s disease and ulcerative colitis. It demonstrated superior diagnostic performance compared to fecal calprotectin in distinguishing active from inactive disease, especially in Crohn’s disease. Although fecal calprotectin outperformed MMP-9 in identifying active ulcerative colitis, the differences between the two markers were not statistically significant, suggesting that they may complement each other in clinical practice. Furthermore, fecal MMP-9 is capable of assessing the activity of endoscopically visible inflammatory bowel disease (IBD), which could help reduce the need for invasive endoscopic procedures.
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 | 0,005 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,001 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 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 ».