A192 GRADE OF ACTIVITY AND FIBROSIS IS SIMILAR IN EAG- AND EAG+ IMMUNE ACTIVE HBV-INFECTED LIVER BIOPSIES
Notice bibliographique
Résumé
Immune checkpoints are negative regulatory receptors present on T cells that have been implicated in T cell exhaustion allowing chronic infection with hepatitis B virus (HBV). There is increasing interest in the role of checkpoint inhibitors to reverse T cell exhaustion in chronic HBV and other chronic viral infections, which could lead to effective viral clearance. As part of a larger study involving characterization of checkpoint and their ligands in HBV-infected liver biopsies, here we review the characteristics of HBV infected liver biopsies by disease phase, prior to staining for checkpoints and their ligands. Using the Toronto Centre for Liver Disease (TCLD) database, patients who had a diagnosis of HBV and had a liver biopsy between 2006 and 2017 at the University Health Network were identified. Patients were included if the pre-defined criteria of typical HBV phase were met and were divided into the following groups: immune active (IA) (subdivided by eAg status), immune tolerance (IT), inactive without treatment, and patients on treatment. Patients with coexistent liver disease were excluded. Of 633 liver biopsies (from 588 patients), 128 were included. Of the excluded biopsies, 42% did not meet the exact definitions of disease phase, 30% did not have corresponding blood work close to the time of biopsy and 14% had HCV. Of the included biopsies, 68.8% were from male patients; 4 patients had more than one biopsy included. 15 biopsies had some degree of steatosis. 88 biopsies were included in the IA group (38 eAg- and 50 eAg+), 18 in the IT group, 10 in the inactive group and 12 in the treatment group. The median age was higher in the eAg- IA compared to the eAg+ IA subgroup (43.5 vs. 33 years respectively, p<0.001). Median ALT did not differ, nor did median activity and fibrosis grades (p=NS). Not surprisingly, biopsies from the IT group had lower fibrosis compared to the IA group (Laennec fibrosis grade 1/4 vs. 2/4 respectively, p<0.001). The qualitative analysis revealed that pattern of activity was similar between IT, inactive and treatment groups, but that fibrosis was higher in the treatment group. The degree of activity and fibrosis is similar between eAg+ and eAg- immune active biopsies, although age was higher in the eAg- group. These findings can in part be explained by the fact that eAg- patients with advanced fibrosis are usually on treatment. Further characterization of checkpoint and their ligands will help better understand the different behaviors of disease phases. In particular, whether or not there are true differences in checkpoint prevalence depending on eAg status will be of interest. None
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 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,002 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| 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 | 0,001 |
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 ».