scholarly journals Farnesoid X nuclear receptor ligand obeticholic acid for non-cirrhotic, non-alcoholic steatohepatitis (FLINT): a multicentre, randomised, placebo-controlled trial

The Lancet ◽  
2015 ◽  
Vol 385 (9972) ◽  
pp. 956-965 ◽  
Author(s):  
Brent A Neuschwander-Tetri ◽  
Rohit Loomba ◽  
Arun J Sanyal ◽  
Joel E Lavine ◽  
Mark L Van Natta ◽  
...  
2021 ◽  
pp. e20210011
Author(s):  
Chanh-Phong Tran ◽  
John J Kim ◽  
Jordan J Feld ◽  
William WL Wong

Background: Currently, there are no pharmacological options available for the treatment of non-alcoholic steatohepatitis (NASH). In the 18-month interim analysis of an ongoing randomized, placebo-controlled phase 3 trial (REGENERATE), early results demonstrated that obeticholic acid (OCA) 25 mg significantly improved fibrosis with no worsening of NASH among patients with NASH and fibrosis compared to placebo (PBO). This study aimed to assess the potential cost-effectiveness of OCA compared to PBO in NASH patients. Methods: A state-transition model was developed to perform a cost-utility analysis comparing two treatment strategies, PBO and OCA 25 mg, from a Canadian public payer perspective. The model time horizon was lifetime with annual cycle lengths. Cost and utility parameters were discounted at 1.5% annually. The efficacy data were obtained from the REGENERATE trial, and costs and utilities were derived from other published literature. Probabilistic and deterministic sensitivity analyses were performed to test the robustness of the model. Results: Treatment with OCA led to reductions of 3.58% in decompensated cirrhosis cases, 3.95% in hepatocellular carcinoma, 7.88% in liver transplant, and 6.01% in liver-related death. However, at an annual price of CDN$36,000, OCA failed to be cost-effective compared to PBO at an incremental cost-effectiveness ratio of $815,514 per quality-adjusted life year (QALY). An 88% reduction in drug price to an annual cost of $4,300 would make OCA cost-effective at a willingness-to-pay threshold of $50,000/QALY. Conclusions: OCA failed to be cost-effective compared to PBO, despite demonstrating clinical benefits due to a high drug cost. A significant price reduction would be needed to make the drug cost-effective.


2020 ◽  
Vol 72 (1) ◽  
pp. 25-33 ◽  
Author(s):  
Mohammad Shadab Siddiqui ◽  
Mark L. Van Natta ◽  
Margery A. Connelly ◽  
Raj Vuppalanchi ◽  
Brent A. Neuschwander-Tetri ◽  
...  

2020 ◽  
Vol 158 (6) ◽  
pp. S-1406-S-1407
Author(s):  
Mary E. Rinella ◽  
Michael Allison ◽  
Philippe Mathurin ◽  
Eric Lawitz ◽  
Quentin M. Anstee ◽  
...  

2020 ◽  
Vol 4 (Supplement_1) ◽  
Author(s):  
Irina Krylova ◽  
Fred J Schaufele ◽  
Christophe Guilbert

Abstract Background: Crystallographic structures of nuclear receptor ligand binding domains provide a static model of a receptor stably wrapped around an internalized ligand. Understanding the dynamics of a receptor at different stages of ligand binding has been hampered by the paucity of crystal structures for unliganded nuclear receptors. Molecular dynamic models have been constructed for some nuclear receptors to fill that void. Methods: The molecular simulation docking program MORDOR (MOlecular Recognition with a Driven dynamics OptimizeR)(1) was used to study the structural dynamics of the androgen receptor ligand binding domain (AR LBD) modeled from the static structure of the AR LBD bound to testosterone (T) (PDB ID: 2AM9). The goals of the study were to understand a) the dynamic interaction of the T in its binding pocket, b) AR LBD structural flexibilities that permit T entry/exit from the binding pocket and c) a model of the unliganded AR LBD. Results: Modeling AR LBD structure flexibility over time revealed possible alternative dynamic structures, including those without ligand, overlaid against the canonical nuclear receptor structure. The model dynamically tracks the structural changes as a ligand enters into the ligand binding domain and nestles into the ligand binding pocket. The model predicted the appearance of alpha helices within the AR LBD that transiently fold/unfold during the ligand entry phases. Once in the pocket, the ligand itself remains very dynamic in a still flexible pocket. The model predicted also AR LBD amino acids that sequentially interact with the ligand during its dynamic entry into the AR LBD. Intriguingly, those AR amino acids include those mutated in castration-resistant prostate tumors that continue to grow during androgen suppression therapy. Functional studies showed those mutant ARs had a primary consequence of enhancing response to lower level T, and other androgens, consistent with their role in creating a higher affinity AR that can scavenge low-level androgens in an androgen-suppressed patient. Conclusions: The molecular model of T binding to the AR LBD suggests a degree of structural dynamism not evident in the crystallographic structures commonly associated with nuclear receptors. Some AR mutations activating prostate tumor growth may do so by impacting androgen entry/exit, rather than by altering androgen fit into the ligand binding pocket. Reference: (1) Guilbert C, James TL (2008) J Chem Inf Model. 2008 48(6): 1257-1268. doi: 10.1021/ci8000327


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