CHINA TOPIX

11/21/2024 07:53:39 pm

Make CT Your Homepage

DARPA Funded Portable Device can Produce Biologic Drugs on Demand

Medicine on demand

(Photo : Getty Images) Medic attends to injured American soldier in Afghanistan.

A portable production system designed to manufacture a range of biopharmaceuticals on demand has been developed by researchers at MIT with funding from the U.S. Defense Advanced Research Projects Agency (DARPA).

This revolutionary system is designed to use microbes for manufacturing small amounts of vaccines and other therapies. It can be used to produce a single dose of treatment from a compact device containing a small droplet of cells in a liquid.

Like Us on Facebook

In this way, the system could ultimately be carried onto the battlefield and used to produce treatments at the point of care. It could also be used to manufacture a vaccine to prevent a disease outbreak in a remote village, according to senior author Tim Lu, an associate professor of biological engineering and electrical engineering and computer science, and head of the Synthetic Biology Group at MIT's Research Laboratory of Electronics.

"Imagine you were on Mars or in a remote desert, without access to a full formulary, you could program the yeast to produce drugs on demand locally," Lu says.

The system is based on a programmable strain of yeast, Pichia pastoris, which can be induced to express one of two therapeutic proteins when exposed to a particular chemical trigger. Researchers chose P. pastoris because it can grow to very high densities on simple and inexpensive carbon sources, and is able to express large amounts of protein.

"We altered the yeast so it could be more easily genetically modified, and could include more than one therapeutic in its repertoire," said Lu.

When the researchers exposed the modified yeast to estrogen β-estradiol, the cells expressed recombinant human growth hormone (rHGH). In contrast, when they exposed the cells to methanol, the yeast expressed the protein interferon.

The cells are held within a millimeter-scale table-top microbioreactor containing a microfluidic chip originally developed by Rajeev Ram, a professor of electrical engineering at MIT, and his team, and then commercialized by Kevin Lee -- an MIT graduate and co-author -- through a spin-off company.

A liquid containing the desired chemical trigger is first fed into the reactor to mix with the cells.

Inside the reactor, the cell-and-chemical mixture is surrounded on three sides by polycarbonate. On the fourth side is a flexible and gas-permeable silicone rubber membrane.

By pressurizing the gas above this membrane, the researchers are able to gently massage the liquid droplet to ensure its contents are fully mixed together.

"This makes sure that the one milliliter (of liquid) is homogenous, and that is important because diffusion at these small scales, where there is no turbulence, takes a surprisingly long time," says Ram, who was also a senior author of the paper.

Because the membrane is gas permeable, it allows oxygen to flow through to the cells, while any carbon dioxide they produce can be easily extracted.

The device continuously monitors conditions within the microfluidic chip, including oxygen levels, temperature, and pH, to ensure the optimum environment for cell growth. It also monitors cell density.

If the yeast is required to produce a different protein, the liquid is simply flushed through a filter, leaving the cells behind. Fresh liquid containing a new chemical trigger can then be added, to stimulate production of the next protein.

Researchers are now investigating the use of the system in combinatorial treatments, in which multiple therapeutics, such as antibodies, are used together.

Biopharmaceutical drugs, which are used in a wide range of therapies including vaccines and treatments for diabetes and cancer, are typically produced in large, centralized fermentation plants. This means they must be transported to the treatment site, which can be expensive, time-consuming, and challenging to execute in areas with poor supply chains.

Real Time Analytics