Scientists are developing new treatment option for lung fibrosis

NewsGuard 100/100 Score

A new treatment option for lung fibrosis is being developed by Purdue University scientists. Lung fibrosis has been a concern for COVID-19 patients.

People with idiopathic pulmonary fibrosis (IPF) have a life expectancy of less than five years. Fibrotic diseases cause organ failure that lead to about 45% of all deaths in the United States. Existing therapies do little to slow progression.

Now, Philip S. Low, the Purdue Ralph C. Corley Distinguished Professor of Chemistry and Presidential Scholar for Drug Discovery, has led a team to develop two targeted therapies for people with IPF. The two different therapeutic approaches are published in Science Translational Medicine and EMBO Molecular Medicine.

This is a horrible disease that claimed the lives of my next-door neighbor and a good friend's wife. We developed two targeted therapies that allow us to use powerful drugs with high toxicities because we specifically deliver them to diseased cells without harming healthy ones."

Philip S. Low, Purdue Ralph C. Corley Distinguished Professor of Chemistry and Presidential Scholar for Drug Discovery

The first of the Purdue team's novel targeted molecules is designed to slow fibrosis and extend life. The second IPF therapy suppresses fibrosis-inducing cytokine production.

The two therapies will be moving into human clinical trials within the next several months. The developments come as a number of people with COVID-19 or who have recovered from COVID-19 experience lung fibrosis or other related conditions.

The therapy technologies are licensed through the Purdue Research Foundation Office of Technology Commercialization and optioned to MorphImmune, a startup co-founded by Low.

Source:
Journal reference:

Hettiarachchi, S. U., et al. (2020) Targeted inhibition of PI3 kinase/mTOR specifically in fibrotic lung fibroblasts suppresses pulmonary fibrosis in experimental models. Science Translational Medicine. doi.org/10.1126/scitranslmed.aay3724.

Comments

The opinions expressed here are the views of the writer and do not necessarily reflect the views and opinions of News Medical.
Post a new comment
Post

While we only use edited and approved content for Azthena answers, it may on occasions provide incorrect responses. Please confirm any data provided with the related suppliers or authors. We do not provide medical advice, if you search for medical information you must always consult a medical professional before acting on any information provided.

Your questions, but not your email details will be shared with OpenAI and retained for 30 days in accordance with their privacy principles.

Please do not ask questions that use sensitive or confidential information.

Read the full Terms & Conditions.

You might also like...
UVA scientists develop new approach to machine learning for identifying heart drug