Literature DB >> 30880443

Determination of fasiglifam-induced liver toxicity: Insights from the data monitoring committee of the fasiglifam clinical trials program.

Jay S Shavadia1,2, Abhinav Sharma1, Xiangqiong Gu1, James Neaton3, Laurie DeLeve4, David Holmes5, Phillip Home6, Robert H Eckel7, Paul B Watkins8, Christopher B Granger1.   

Abstract

BACKGROUND: Different approaches to safety event collection influence the determination of liver toxicity within drug development programs. Herein, a description of how fasiglifam-induced liver injury was detected is provided.
METHODS: This eight-trial drug development program was intended to evaluate fasiglifam (25 mg, 50 mg) against placebo or active comparators (glimepiride, sitagliptin) in approximately 11,000 suboptimally controlled patients with type 2 diabetes (terminated Dec 2013 due to liver toxicity). Liver safety had been pre-identified as a concern, and within the phase 3 trials, was measured through (1) adverse event reporting, (2) central predefined liver monitoring schedule with various thresholds for potential drug-induced liver injury, and (3) blinded adjudication of serious liver toxicity by a panel of experts in drug-induced liver injury. A single data monitoring committee provided safety oversight across all trials within the program.
FINDINGS: Prior to program termination, 7595 of 7602 (99.9%) randomized participants across the eight trials received at least one dose of the study drug (fasiglifam, placebo, or active control). No concerning trends were noted in adverse or serious adverse event frequency, suspected unexpected serious adverse reaction, alanine or aspartate transaminase elevations, or hepatobiliary or gastrointestinal adverse events as reported by local site investigators. However, the predefined central liver safety measurements revealed a greater frequency of possible Hy's Law cases (5 vs 2) and a 3- to 7-fold greater relative risk in alanine or aspartate transaminase elevation (with respect to upper limit of normal) within fasiglifam recipients compared with placebo/active control: alanine or aspartate transaminase > 3×: relative risk 3.34 (95% confidence interval 2.29-4.90), alanine or aspartate transaminase > 5×: relative risk 6.60 (95% confidence interval 3.03-14.38), alanine or aspartate transaminase > 8×: relative risk 6.14 (95% confidence interval 2.18-17.27), and alanine or aspartate transaminase > 10×: relative risk 6.74 (95% confidence interval 2.05, 22.14). All elevations resolved on study drug discontinuation. Drug-induced liver injury was adjudicated as highly likely or probably related in 0.64% of fasiglifam-treated versus 0.06% placebo or active control-treated patients.
CONCLUSION: In spite of clear liver toxicity detected with a systematic surveillance program, liver safety signals were not identified from investigator adverse event reporting alone. By integrating key safety monitoring processes within the randomized design of adequately sized clinical trials, the rare but serious liver toxicity signal became clear, leading to timely program termination.

Entities:  

Keywords:  Data monitoring committee; fasiglifam; hepatotoxicity

Mesh:

Substances:

Year:  2019        PMID: 30880443     DOI: 10.1177/1740774519836766

Source DB:  PubMed          Journal:  Clin Trials        ISSN: 1740-7745            Impact factor:   2.486


  3 in total

1.  Pharmacokinetic and toxicodynamic concepts in idiosyncratic, drug-induced liver injury.

Authors:  Robert A Roth; Omar Kana; David Filipovic; Patricia E Ganey
Journal:  Expert Opin Drug Metab Toxicol       Date:  2022-08-24       Impact factor: 4.936

2.  Predictive Model for Drug-Induced Liver Injury Using Deep Neural Networks Based on Substructure Space.

Authors:  Myung-Gyun Kang; Nam Sook Kang
Journal:  Molecules       Date:  2021-12-13       Impact factor: 4.411

Review 3.  Experimental and Emerging Free Fatty Acid Receptor Agonists for the Treatment of Type 2 Diabetes.

Authors:  Angelo Maria Patti; Rosaria Vincenza Giglio; Nikolaos Papanas; Dragos Serban; Anca Pantea Stoian; Kalliopi Pafili; Khalid Al Rasadi; Kanya Rajagopalan; Ali A Rizvi; Marcello Ciaccio; Manfredi Rizzo
Journal:  Medicina (Kaunas)       Date:  2022-01-11       Impact factor: 2.430

  3 in total

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