How improvements in US FDA regulatory process and procedures led to the drug approval for first ever treatment of a common liver disease.

Metabolic-associated liver disease is a growing public health crisis, with phenotypes from fatty liver to steatohepatitis, previously known as NASH (Non-Alcoholic SteatoHepatitis) and currently rebranded as MASH (Metabolic dysfunction-Associated SteatoHepatitis). Dysfunction in liver metabolism can progress to liver fibrosis, end stage cirrhosis and death. MASH (NASH) is associated with an increased risk of cardiovascular disease, elevation in serum lipids and Type 2 Diabetes Mellitus. There is now a US-approved drug to treat patients with NASH (MASH) under the FDA Accelerated Approval Pathway, which requires follow-up outcome studies to confirm clinical benefit or risk drug withdrawal by the agency. Despite extra-hepatic factors that contribute to MASH and complicate clinical trial design, reorganization of the FDA drug premarket review divisions, improvements to agency policies and procedures, as well as updates to the US Food, Drug & Cosmetic Act (FD&C Act) upon which FDA regulation is based, have provided new agency tools that facilitated such a drug approval to address the profound unmet medical need for patients with this metabolic-based liver disease. There is reason for hope that continued evolution of the regulatory process will lead to additional drug approvals, as well as the ability for clinical trial endpoints studying MASH treatments to include both liver-based and traditional metabolic measures, independent of the specific FDA review division. This initial NASH/MASH FDA approval has also opened the door for initiation of Combination Clinical Trials, where the approved drug is paired with an experimental drug with a different mechanism of action, to increase overall efficacy and potentially minimize risks. It is envisioned that future treatment of NASH/MASH will mirror what is currently observed with Type 2 Diabetes Mellitus practice patterns, where multiple drugs with different mechanisms of actions are used to optimize treatment benefit/risk in the selected patient populations.