Penn engineers develop targeted lung delivery system using lipid nanoparticles

NewsGuard 100/100 Score

Penn Engineers have developed a new means of targeting the lungs with lipid nanoparticles (LNPs), the miniscule capsules used by the Moderna and Pfizer-BioNTech COVID-19 vaccines to deliver mRNA, opening the door to novel treatments for pulmonary diseases like cystic fibrosis. 

In a paper in Nature Communications, Michael J. Mitchell, Associate Professor in the Department of Bioengineering, demonstrates a new method for efficiently determining which LNPs are likely to bind to the lungs, rather than the liver.

The way the liver is designed. LNPs tend to filter into hepatic cells, and struggle to arrive anywhere else. Being able to target the lungs is potentially life-changing for someone with lung cancer or cystic fibrosis."

Michael J. Mitchell, Associate Professor, Department of Bioengineering, Penn

Previous studies have shown that cationic lipids -; lipids that are positively charged -; are more likely to successfully deliver their contents to lung tissue. "However, the commercial cationic lipids are usually highly positively charged and toxic," says Lulu Xue, a postdoctoral fellow in the Mitchell Lab and the paper's first author. Since cell membranes are negatively charged, lipids with too strong a positive charge can literally rip apart target cells. 

Typically, it would require hundreds of mice to individually test the members of a "library" of LNPs -; chemical variants with different structures and properties -; to find one with a low charge that has a higher likelihood of delivering a medicinal payload to the lungs.

Instead, Xue, Mitchell and their collaborators used what is known as "barcoded DNA" (b-DNA) to tag each LNP with a unique strand of genetic material, so that they could inject a pool of LNPs into just a handful of animal models. Then, once the LNPs had propagated to different organs, the b-DNA could be scanned, like an item at the supermarket, to determine which LNPs wound up in the lungs. 

After identifying an LNP that successfully penetrated lung cells, Xue, Mitchell and their collaborators administered the molecule to mice suffering from lung cancer: the treatment had a pronounced and positive effect, drastically reducing tumor size by delivering a strand of mRNA and gRNA that suppresses the growth of lung tumors.

"This technology will help to accelerate the development of mRNA therapeutics beyond the liver," says Xue, pointing to the speed, low cost and efficacy of the technique. 

This study was conducted at the University of Pennsylvania School of Engineering and Applied science and supported by a US National Institutes of Health (NIH) Director's New Innovator Award (DP2 TR002776), a Burroughs Wellcome Fund Career Award at the Scientific Interface (CASI), a US National Science Foundation CAREER Award (CBET-2145491) and an American Cancer Society Research Scholar Grant (RSG-22-122-01-ET).

Other co-authors include Alex G. Hamilton, Rakan El-Mayta, Xuexiang Han, Ningqiang Gong, Junchao Xu, Christian G. Figueroa-Espada, Sarah J. Shepherd and Alvin J. Mukalel of Penn Engineering; Gan Zhao, Zebin Xiao and Andrew E. Vaughan of Penn Vet; Xinhong Xiong and Jiaxi Cui of Yangtze Delta Region Institute (Huzhou); Karin Wang of Temple University; and Mohamed-Gabriel Alameh and Drew Weissman of the Perelman School of Medicine at Penn.

Source:
Journal reference:

Xue, L., et al. (2024). High-throughput barcoding of nanoparticles identifies cationic, degradable lipid-like materials for mRNA delivery to the lungs in female preclinical models. Nature Communications. doi.org/10.1038/s41467-024-45422-9.

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...
Gold nanoparticle adorned polymers boost infectious disease testing