Insilico's Rentosertib Inhalation Solution Receives IND Clearance for the World's First AI-Driven Candidate to Enter Direct-to-Lung Clinical Study
- Following positive Phase IIa results for oral Rentosertib in GENESIS-IPF with good tolerability, a favorable PK profile, and dose-dependent efficacy improvements, the inhalation solution has received IND clearance from the CDE.
- The inhalation solution is designed for targeted lung delivery to achieve rapid onset and high local bioavailability at lower doses, while reducing systemic exposure and related side effects.
- Rentosertib inhalation solution is the 13th program from Insilico's AI-driven pipeline to receive IND clearance, further demonstrating how Pharma.AI could reproducibly drive the discovery and development of novel molecules from preclinical development to clinical validation.
The IND clearance supports a Phase I study to evaluate the safety, tolerability, and pharmacokinetic (PK) profiles of Rentosertib inhalation solution. The study will consist of two parts: (1) a randomized, double-blind, placebo-controlled Phase I trial in healthy participants involving single ascending dose (SAD) and multiple ascending dose (MAD) cohorts; and (2) a non-randomized, open-label evaluation in patients with Idiopathic Pulmonary Fibrosis (IPF) receiving multiple doses. Approximately 80 subjects are expected to be enrolled.
"We are pleased to receive
Administration by inhalation is a complex drug delivery technology that requires combining formulation and devices, presenting higher technical barriers. Inhalation solutions deliver treatment as vapor or aerosol through special devices into the respiratory tract (i.e. the target organ), which is considered one of the most efficient routes of drug delivery as it may provide advantages including rapid action onset, high bioavailability, lowered effective dose and reduced side effects with a noninvasive and targeted route of administration.
In preclinical studies, the inhalation solution of Rentosertib was able to achieve higher lung exposure with low systemic exposure and demonstrated antifibrotic and anti-inflammatory efficacy in animal models. Moreover, it showed good pharmacokinetic (PK) and safety profiles, as well as good stability and solubility.
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Insilico Medicine has established AI-driven drug discovery partnerships with global leading companies, including Eli Lilly, Hygtia Therapeutics,
Idiopathic Pulmonary Fibrosis (IPF) is a chronic, scarring lung disease characterized by a progressive and irreversible decline in lung function. Affecting approximately 5 million people worldwide, IPF carries a poor prognosis, with a median survival of 3 to 4 years. Current approved treatments, including antifibrotic drugs, can slow disease progression but do not stop or reverse it, leaving a significant unmet need for more effective, disease-modifying therapies.
Rentosertib is a potentially first-in-class small-molecule TNIK inhibitor, discovered and developed with the support of Insilico's proprietary generative AI platform, Pharma.AI. The FDA granted Orphan Drug Designation(ODD) to Rentosertib for the treatment of IPF in
Rentosertib's early drug discovery and development process was completed in 18 months with less than 80 small molecules synthesized and tested. This dramatically shortens traditional R&D timeline through AI-enabled target identification and molecule design. The AI-driven workflow was reported in Nature Biotechnology in
About Insilico Medicine
Insilico Medicine is a pioneering global biotechnology company dedicated to integrating artificial intelligence and automation technologies to accelerate drug discovery, drive innovation in the life sciences, and extend healthy longevity to people on the planet. The company was listed on the Main Board of the
By integrating AI and automation technologies and deep in-house drug discovery capabilities, Insilico is delivering innovative drug solutions for unmet needs including fibrosis, oncology, immunology, pain, and obesity and metabolic disorders. Additionally, Insilico extends the reach of Pharma.AI across diverse industries, such as advanced materials, agriculture, nutritional products and veterinary medicine. For more information, please visit www.insilico.com
SOURCE Insilico Medicine