Harnessing cell's natural delivery system for targeted drug delivery

Each cell in the body has its own unique delivery system that scientists are working on harnessing to move revolutionary biological drugs -; molecules like proteins, RNA and combinations of the two -; to specific diseased parts of the body.

A new study from Northwestern University hijacked the transit system and sent tiny, virus-sized containers to effectively deliver an engineered protein to its target cell and trigger a change in the cell's gene expression. The success came from encouraging engineered proteins to move toward a specific cell membrane structure that the researchers found increased a protein's likelihood of latching onto the container.

Published in July in the journal Nature Communications, the paper contends the novel technique could be generalizable, paving the road for the goal of targeted biological drug delivery.

The study brings researchers a step closer to addressing a major bottleneck for biological medicine development, determining how to protect fragile molecules in the body and ensure they reach the correct diseased cells in a patient without impacting healthy cells.

The research combines work from two labs in Northwestern's Center for Synthetic Biology: those of biomedical engineer Neha Kamat and chemical and biological engineer Josh Leonard. The Kamat lab has largely focused on the design of synthetic containers and uses biophysical principles to control molecules targeting other cells. Leonard's lab develops tools to build these natural delivery containers, termed extracellular vesicles (EVs).

We were interested in applying some of the biophysical insights that have emerged about how to localize proteins to specific membrane structures so that we could hijack this natural system. In this study, we discover general ways to load drug cargo into these vesicles very efficiently while preserving their function. This might enable more effective and affordable extracellular vesicle-based biological medicines."

Neha Kamat, the paper's co-corresponding author and associate professor at the McCormick School of Engineering

The keys to this "cargo loading" approach are sites on cell membranes called lipid rafts. These regions are more structured than the rest of the membrane and reliably contain specific proteins and lipids.

"Lipid rafts are thought by some to play a role in the genesis of EVs, as EV membranes contain the same lipids found in lipid rafts," said Justin Peruzzi, who co-led the study with Taylor Gunnels as doctoral students in Kamat's lab. Gunnels' work in the lab is ongoing, and Peruzzi, who completed his Ph.D., works as a scientist at a protein-based medicine company. "We hypothesized that if we engineered proteins to associate with lipid rafts, they may be loaded into the vesicles, allowing them to be delivered to other cells."

The team used protein databases and lab experiments to determine that lipid raft-association is an efficient method to load protein cargo into EVs, enabling up to a stunning 240 times more protein to be loaded into vesicles.

After discovering this biophysical principle, the researchers demonstrated a practical application of the method. They engineered cells to produce a protein called a transcription factor, loaded it into EVs and then delivered it to a cell to alter the recipient cell's gene expression -; without compromising the protein's function upon delivery.

Kamat and Leonard said the main challenge in loading therapeutic cargo into EVs is that the producer cell and the recipient cell are often at odds with each other. In the cell producing the EV, for example, you might engineer therapeutic cargo to associate tightly to a membrane to increase the chance it moves into a soon-to-be released EV. However, this same behavior is often undesirable in a recipient cell because delivered cargo stuck to a membrane might be nonfunctional. Instead, you might want that cargo to release from the EV membrane and move to the cell's nucleus to perform its biological function. The answer was the creation of cargo with reversible functions.

"Tools that enable reversible membrane association could be really powerful when building EV-based medicines," said Gunnels. "Although we're not yet sure of the precise mechanism, we see evidence of this reversibility with our approach. We were able to show that by modulating lipid-protein interactions, we could load and functionally deliver our model therapeutic cargo. Looking forward, we're eager to use this approach to load therapeutically relevant molecules, like CRISPR gene-editing systems."

The researchers said they're eager to try the approach with medicinal cargo for disease applications in immunotherapy and regenerative medicine.

"If we can load functional biomedicines into EVs that are engineered to only deliver those biomolecules to diseased cells, we can open the door to treating all sorts of diseases," said Leonard, the co-corresponding author and a McCormick professor. "Because of the generalizability that we observed in our system, we think this study's findings could be applied to deliver a wide array of therapeutic cargos for various disease states."

The paper, titled "Enhancing extracellular vesicle cargo loading and functional delivery by engineering protein-lipid interactions," was supported by the McCormick Research Catalyst Program at Northwestern University, the National Science Foundation (grants 1844219 and 2145050) and NSF Graduate Research Fellowships (DGE-1842165).

Source:
Journal reference:

Lu, B., et al. (2024). Key role of paracrystalline motifs on iridium oxide surfaces for acidic water oxidation. Nature Catalysis. doi.org/10.1038/s41929-024-01187-4.

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...
TTUHSC researcher to uncover mechanisms that regulate gene expression in Alzheimer's disease