A214 BARIATRIC SURGERY PATIENTS WITH NON-ALCOHOLIC FATTY LIVER DISEASE HAVE DIFFERENT VISCERAL ADIPOSE TISSUE GENE EXPRESSION COMPARED TO THOSE WITH NORMAL LIVER
Notice bibliographique
Résumé
Abstract Background Non-alcoholic fatty liver disease (NAFLD) includes simple steatosis (SS) and nonalcoholic steatohepatitis (NASH). It affects 74–98% of individuals with morbid obesity undergoing bariatric surgery (BSX). Among several factors contributing to NAFLD pathogenesis, adipokines secreted by visceral adipose tissue (VAT) can play a role by regulating glucose/lipid metabolism and inflammation. Aims This study aims to determine if visceral adipose tissue adipokine and cytokine gene expression are associated with NAFLD (SS and NASH) at the time of BSX. Methods Patients were recruited from the Toronto Western Hospital Bariatric Clinic. Demographic data was recorded. The VAT and liver biopsies were collected at the time of bariatric surgery. VAT adipokines and other mediators were assessed by RT-PCR and included markers of thermogenic capacity, inflammation, fibrosis, adipokines, and others. Liver histology was assessed by a pathologist using the Brunt system and individuals were diagnosed as either SS, NASH, or having a healthy liver (HL). Blood samples were collected pre-BSX to measure liver and metabolic syndrome related parameters, including HOMA-IR, HbA1c, liver enzymes, and lipid profile. Anthropometry was also assessed. Groups were compared using Kruskal-Wallis test followed by Wilcoxon ranked sum, or chi-square and Fisher’s exact test as necessary. Data was considered to be statistically significant with a p-value less than 0.05. Results We are presenting data on 126 patients, 80.2% females with a median age of 49 and a body mass index (BMI) of 46.9. Fifty-seven patients had SS, 34 had NASH and 35 had a healthy liver (HL). BMI, age, and sex did not differ between the three groups. First, we found that those with NASH had significantly higher VAT expression of fibrosis (Loxl2), inflammation (CCL4 and TGFb1) and proliferation markers (E2F1) and significantly lower expression of adipokines (TNFa and resistin) compared to HL. Also, we found that SS had significantly higher fibrosis (Col3a1, Col6a1, Loxl2, CD9 and Acta2), inflammation (Nox2, TGFb1, IFNg and Clec10a), browning (PPARa, PPARg and Glut1) and proliferation (E2F1) marker expression compared to HL. Conclusions Results show that there is a significant difference in the expression pattern of VAT fibrotic and inflammatory markers between HL, SS and NASH patients. The observed increase of inflammatory markers in NAFLD is in line with prior research outlining the ability of inflammatory mediators from VAT to contribute to liver pathology via portal circulation. The relationship between VAT characteristics and NAFLD are important in understanding the widespread metabolic effects of obesity. Funding Agencies CIHRCanadian Liver foundation
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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 | 0,000 | 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) | 0,005 | 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 ».