Public Release: 

Pathway signatures in lung and liver fibrosis and glaucoma may play a role in aging

InSilico Medicine, Inc.

IMAGE

IMAGE: This is the Insilico Medicine logo. view more

Credit: Insilico Medicine

Friday, June 29, Baltimore, 2016 - Insilico Medicine, Inc in collaboration with scientists from Atlas Regeneration, Inc, Vision Genomics, Inc and Howard University published two research papers on fibrosis in the lung and liver and fibrotic signatures in glaucoma. Scientists utilized the new software tool referred to as "Regeneration Intelligence" to evaluate the perturbation status of many signaling pathways. This new system aimed to identify robust biomarkers of fibrotic disease and develop effective targeted therapy.

Fibrosis, a progressive accumulation of extracellular matrix, can occur in a wide range of organs and potentially distort their structure and function; most commonly it affects lung and hepatic tissues, causing idiopathic pulmonary fibrosis (IPF) and liver fibrosis respectively. Fibrosis accounts for up to 45% of deaths in the developed world, yet to date no effective therapeutic treatment has been developed.

The two papers titled "Common pathway signature in lung and liver fibrosis" and "Pro-fibrotic pathway activation in trabecular meshwork and lamina cribrosa is the main driving force of glaucoma" were published in the journal of Cell Cycle.

"Fibrosis is one of the age-related pathologies that disrupt organ functionality dramatically. Currently, there are no approved anti-fibrotic remedy and no reliable fibrotic biomarker. "Regeneration Intelligence" is an intelligent system that can detect hidden fibrotic molecular signatures based on a pathway network analysis. The system can identify specific fibrogenic molecular changes regardless of detecting platform and tissue of origin. Despite many efforts, fibrosis if often misdiagnosed. Our system is supposed to help with proper and timely diagnostic." said Eugene Makarev, PhD, VP of pathway analytics at Insilico Medicine.

With broad screening across multiple fibrotic organs, a platform developed by Insilico Medicine identified pathogenic pathways that served as potential targets for the anti-fibrotic therapy. This approach led to a selection of the list of small molecules and natural compounds by their ability to minimize the signaling pathway difference between a fibrotic and a healthy state of the tissue. Further work with 'Regeneration Intelligence' provides promising opportunities to identify conserved biological pathways that play a critical role in fibrosis development.

"We are very excited to continue our collaboration with Insilico Medicine. Using the innovative "Regeneration Intelligence" software, we have discovered previously-undetected pro-fibrotic signatures in glaucoma, based on pathway analysis. This new knowledge will allow Vision Genomics, Insilico Medicine and Howard University to cooperatively select and develop anti-fibrotic small molecule interventions to minimize or reverse this fibrotic state, and restore the tissue to normal function." said Antonei Csoka, PhD, CEO of Vision Genomics, Inc.

###

About Insilico Medicine

Insilico Medicine, Inc. is a bioinformatics company located at the Emerging Technology Centers at the Johns Hopkins University Eastern campus in Baltimore with R&D resources in Belgium, Russia and Poland hiring talent through hackathons and competitions. It utilizes advances in genomics, big data analysis and deep learning for in silico drug discovery and drug repurposing for aging and age-related diseases. The company pursues internal drug discovery programs in cancer, Parkinson's, Alzheimer's, sarcopenia and geroprotector discovery. Its Pharmaceutical Artificial Intelligence division the company provides advanced machine learning services to biotechnology, pharmaceutical and skin care companies. Brief company video: https://www.youtube.com/watch?v=l62jlwgL3v8

Disclaimer: AAAS and EurekAlert! are not responsible for the accuracy of news releases posted to EurekAlert! by contributing institutions or for the use of any information through the EurekAlert system.