Bajunayd, Amani

Post–liver transplant (LT) weight gain and metabolic dysfunction predispose to cardiovascular (CV) morbidity, allograft steatosis, and reduced long-term survival. Glucagon-like peptide-1 receptor agonists (GLP-1 RAs) promote weight loss and improve cardiometabolic health, yet evidence in liver transplant recipients (LTRs) is limited. We aimed to evaluate the safety, tolerability, and efficacy of GLP-1 RAs in post-LT weight management. We performed a multicenter retrospective cohort study of adult LTRs treated with GLP-1 RAs across 4 international centers (January 1, 2010–June 30, 2025). Regular GLP-1 RA users were compared with matched non-users by age, sex, obesity, and diabetes status, transplant year, and center. The primary outcome was the change in body weight 1-year post-exposure. Secondary outcomes included glycemic and lipid profiles, kidney and allograft function, immunosuppression effects, major adverse cardiovascular events (MACE), and adverse effects. Longitudinal analyses used linear mixed models with multiple imputation. Among 104 GLP-1 RA users, 68.3% initiated therapy for diabetes; subcutaneous semaglutide was most used at a median dose of 0.82±0.46 mg weekly. Treatment led to significant reductions in body weight (−3.8 kg; −3.9%, p <0.001), body mass index (BMI) (−1.6 kg/m 2 ; −5.0%, p <0.001), and glycated hemoglobin (HbA1c) (−0.48%, p =0.002), with modest lipid improvement. Liver function tests and immunosuppression trough levels remained stable, and no treatment-limiting adverse events occurred. In matched analyses (80 GLP-1 RA users vs. 116 non-users), GLP-1 RAs facilitated greater weight loss (−3.4 kg difference, p =0.009) and HbA1c reduction (−0.43% difference in HbA1c, p =0.042) without increased risk of allograft dysfunction, T-cell–mediated rejection (TCMR), or MACE. This multicenter, international study demonstrates GLP-1 RAs are safe and moderately effective in reducing weight and improving metabolic parameters post-LT, without adverse effects on allograft function or immunosuppression, despite limitations of low dosing. Prospective, randomized trials of GLP-1 RAs in LTRs are thus warranted.

INTRODUCTION: The recent US Food and Drug Administration approval of resmetirom for treating metabolic dysfunction-associated steatohepatitis in patients necessitates patient selection for significant fibrosis or higher (≥F2). No existing vibration-controlled transient elastography (VCTE) algorithm targets ≥F2. METHODS: The mAchine Learning ADvanceD fibrosis and rIsk metabolic dysfunction-associated steatohepatitis Novel predictor (ALADDIN) study addressed this gap by introducing a machine-learning-based web calculator that estimates the likelihood of significant fibrosis using routine laboratory parameters with and without VCTE. Our study included a training set of 827 patients, a testing set of 504 patients with biopsy-confirmed metabolic dysfunction-associated steatotic liver disease from 6 centers, and an external validation set of 1,299 patients from 9 centers. Five algorithms were compared using area under the curve (AUC) in the test set: ElasticNet, random forest, gradient boosting machines, XGBoost, and neural networks. The top 3 (random forest, gradient boosting machines, and XGBoost) formed an ensemble model. RESULTS: In the external validation set, the ALADDIN-F2-VCTE model, using routine laboratory parameters with VCTE (AUC 0.791, 95% confidence interval [CI]: 0.764–0.819), outperformed VCTE alone (0.745, 95% CI 0.717–0.772, P < 0.0001), FibroScan-aspartate aminotransferase (0.710, 0.679–0.748, P < 0.0001), and Agile-3 model (0.740, 0.710–0.770, P < 0.0001) regarding the AUC, decision curve analysis, and calibration. The ALADDIN-F2-Lab model, using routine laboratory parameters without VCTE, achieved an AUC of 0.706 (95% CI: 0.668–0.749) and outperformed Fibrosis-4, steatosis-associated fibrosis estimator, and LiverRisk scores. DISCUSSION: Along with the steatosis-associated fibrosis estimator model developed to target significant fibrosis or higher, ALADDIN-F2-VCTE (https://aihepatology.shinyapps.io/ALADDIN1) uniquely supports a refined noninvasive approach to patient selection for resmetirom without the need for liver biopsy. In addition, ALADDIN-F2-Lab (https://aihepatology.shinyapps.io/ALADDIN2) offers an effective alternative when VCTE is unavailable.