First drug discovered through 3D bioprinted tissue disease model By Jim Cornall 3 minutesmins May 3, 2023 3 minutesmins Share WhatsApp Twitter Linkedin Email Photo/Shutterstock Newsletter Signup - Under Article / In Page"*" indicates required fieldsEmailThis field is for validation purposes and should be left unchanged.Subscribe to our newsletter to get the latest biotech news!By clicking this I agree to receive Labiotech's newsletter and understand that my personal data will be processed according to the Privacy Policy.*Company name*Job title*Business email* Viscient Bio, Inc. has announced it has identified the world’s first drug candidate discovered primarily using 3D bioprinted tissue models of disease formed from human cells. The company said it expects to develop the drug to treat non-alcoholic steatohepatitis (NASH), a growing epidemic disease that is believed to affect more than 10% of the U.S. population. NASH can often lead to hepatocellular carcinoma or liver failure. Due to the devastating effects of NASH on patients and its wide prevalence, analysis has projected future pharma industry revenues for the drug in the tens of billions of dollars per year. Viscient Bio’s lead compound is an orally-delivered small molecule designed to hit a novel target identified in 3D bioprinted and other 3D tissue models of disease. In preclinical studies, the drug has proven to be well tolerated. In Viscient Bio’s models of disease, the compound shows reduction of fibrosis as measured by histological evidence similar to that used for human liver biopsy. Using the same model, fibrosis reduction is also seen for obeticholic acid and resmetirom, while no fibrosis reduction is seen for drugs such as cenicriviroc, selonsertib, and elafibranor. The newly discovered target is predominantly expressed in liver tissue.“It is long past time to displace the model of drug development reliant on proof of activity in animals,” said Viscient Bio chief executive officer Keith Murphy. “Viscient’s trailblazing work has resulted in 3D cellular human models of disease in which the performance of previously tested compounds has matched clinical results. Failed NASH drugs never would have been put in humans based on what can be clearly seen in these models. Our novel compound shows fibrosis reduction in these models, as do NASH drugs known to work in phase 3, and we are excited to move this lead program forward.”Viscient Bio’s model gives accurate predictionsThe lead compound’s clear reduction of fibrosis in Viscient Bio’s NASH models is promising because Viscient Bio’s 3D models of NASH have shown extremely high correlation with clinical results in patients. The model demonstrates fibrosis reduction for known clinical compounds tested by pharma companies that have that effect in humans, while revealing lack of fibrosis reduction for compounds that failed in phase 2 or phase 3 for NASH. The model is accurate in predicting both successes and failures among clinical compounds tested to date. The gene expression of Viscient Bio’s models is also well correlated with that seen in disease samples from patients. Though tested post-hoc, the results are not backfit, as the model was finalized before testing of any clinical compounds was conducted.Suggested Articles NEOsphere Biotechnologies closes financing round First patient enrolled in phase 3 study of drug for Charcot-Marie-Tooth disease Delivering on the need for vector innovation in genetic medicine Fallouh Healthcare’s device to give early diagnosis for post-surgery strangulation risk Boehringer Ingelheim Acquires Cancer Vaccine Biotech in €325M Deal Low approval rateAccording to the Biotechnology Innovation Organization’s 2021 report, only 7.9% of drugs that enter clinical trials are approved for human use. Viscient Biosciences said it believes it can achieve a significantly better clinical translation rate using more relevant 3D human tissue models of disease, leading to more successes and lower drug development costs per approved drug. Viscient Biosciences’ lead compound is expected to enter the clinic in 2024. Adopting AI in biologics discovery AI is speeding up biologics discovery, but integrating it into existing workflows isn’t always simple. Our 2026 report, produced in partnership with ENPICOM, explores the challenges teams face, the strategies used to overcome them, and the innovations driving smarter, faster R&D. considerations for life science companies to make in their AI adoption strategies. Download now Explore other topics: 3D printingDrug discoveryLiver diseaseNASHUSA ADVERTISEMENT