Scientists Design Bacteria to Reflect 'Sonar' Signals for Ultrasound Imaging

In the 1966 science fiction film Fantastic Voyage, a submarine is shrunken down and injected into a scientist's body to repair a blood clot in his brain. While the movie may be still be fiction, researchers at Caltech are making strides in this direction: they have, for the first time, created bacterial cells with the ability to reflect sound waves, reminiscent of how submarines reflect sonar to reveal their locations.

The ultimate goal is to be able to inject therapeutic bacteria into a patient's body - for example, as probiotics to help treat diseases of the gut or as targeted tumor treatments - and then use ultrasound machines to hit the engineered bacteria with sound waves to generate images that reveal the locations of the microbes. The pictures would let doctors know if the treatments made it to the right place in the body and were working properly.

"We are engineering the bacterial cells so they can bounce sound waves back to us and let us know their location the way a ship or submarine scatters sonar when another ship is looking for it," says Mikhail Shapiro, assistant professor of chemical engineering, Schlinger Scholar, and Heritage Medical Research Institute Investigator. "We want to be able to ask the bacteria, 'Where are you and how are you doing?' The first step is to learn to visualize and locate the cells, and the next step is to communicate with them."

The results will be published in the January 4 issue of the journal Nature. The lead author is Raymond Bourdeau, a former postdoctoral scholar in Shapiro's lab.

The idea of using bacteria as medicine is not new. Probiotics have been developed to treat conditions of the gut, such as irritable bowel disease, and some early studies have shown that bacteria can be used to target and destroy cancer cells. But visualizing these bacterial cells as well as communicating with them - both to gather intel on what's happening in the body and give the bacteria instructions about what to do next - is not yet possible. Imaging techniques that rely on light - such as taking pictures of cells tagged with a "reporter gene" that codes for green fluorescent protein - only work in tissue samples removed from the body. This is because light cannot penetrate into deeper tissues like the gut, where the bacterial cells would reside.

Shapiro wants to solve this problem with ultrasound techniques because sound waves can travel deeper into bodies. He says he had a eureka moment about six years ago when he learned about gas-filled protein structures in water-dwelling bacteria that help regulate the organisms' buoyancy. Shapiro hypothesized that these structures, called gas vesicles, could bounce back sound waves in ways that make them distinguishable from other types of cells. Indeed, Shapiro and his colleagues demonstrated that the gas vesicles can be imaged with ultrasound in the guts and other tissues of mice.

The team's next goal was to transfer the genes for making gas vesicles from the water-dwelling bacteria into a different type of bacteria - Escherichia coli, which is commonly used in microbial therapeutics, such as probiotics.

"We wanted to teach the E. coli bacteria to make the gas vesicles themselves," says Shapiro. "I've been wanting to do this ever since we realized the potential of gas vesicles, but we hit some roadblocks along the way. When we finally got the system to work, we were ecstatic."

One of the challenges the team hit involved the transfer of the genetic machinery for gas vesicles into E. coli. They first tried to transfer gas-vesicle genes isolated from a water-dwelling bacterium called Anabaena flos-aquae, but this didn't work - the E. coli failed to make the vesicles. They tried again using gas-vesicle genes from a closer relative of E. coli, a bacterium called Bacillus megaterium. This didn't succeed either, because the resulting gas vesicles were too small to efficiently scatter sound waves. Finally, the team tried a mix of genes from both species - and it worked. The E. coli made gas vesicles on their own.

The gas vesicle genes code for proteins that act like either bricks or cranes in building the final vesicle structure - some of the proteins are the building blocks of the vesicles while some help in actually assembling the structures. "Essentially, we figured out that we need the bricks from Anabaena flos-aquae and the cranes from Bacillus megaterium in order for the E. coli to be able to make gas vesicles," says Bourdeau.

Subsequent experiments from the team demonstrated that the engineered E. coli could indeed be imaged and located within the guts of mice using ultrasound.

"This is the first acoustic reporter gene for use in ultrasound imaging," says Shapiro. "We hope it will ultimately do for ultrasound what green fluorescent protein has done for light-based imaging techniques, which is to really revolutionize the imaging of cells in ways there were not possible before."

The researchers say the technology should be available soon to scientists who do research in animals, although it will take many more years to develop the method for use in humans.

Raymond W Bourdeau, Audrey Lee-Gosselin, Anupama Lakshmanan, Arash Farhadi, Sripriya Ravindra Kumar, Suchita P Nety, Mikhail G. Shapiro.
Acoustic reporter genes for noninvasive imaging of microorganisms in mammalian hosts.
Nature 553, 86–90. doi: 10.1038/nature25021.

Most Popular Now

Unlocking the 10 Year Health Plan

The government's plan for the NHS is a huge document. Jane Stephenson, chief executive of SPARK TSL, argues the key to unlocking its digital ambitions is to consider what it...

Alcidion Grows Top Talent in the UK, wit…

Alcidion has today announced the addition of three new appointments to their UK-based team, with one internal promotion and two external recruits. Dr Paul Deffley has been announced as the...

AI can Find Cancer Pathologists Miss

Men assessed as healthy after a pathologist analyses their tissue sample may still have an early form of prostate cancer. Using AI, researchers at Uppsala University have been able to...

New Training Year Starts at Siemens Heal…

In September, 197 school graduates will start their vocational training or dual studies in Germany at Siemens Healthineers. 117 apprentices and 80 dual students will begin their careers at Siemens...

AI, Full Automation could Expand Artific…

Automated insulin delivery (AID) systems such as the UVA Health-developed artificial pancreas could help more type 1 diabetes patients if the devices become fully automated, according to a new review...

How AI could Speed the Development of RN…

Using artificial intelligence (AI), MIT researchers have come up with a new way to design nanoparticles that can more efficiently deliver RNA vaccines and other types of RNA therapies. After training...

MIT Researchers Use Generative AI to Des…

With help from artificial intelligence, MIT researchers have designed novel antibiotics that can combat two hard-to-treat infections: drug-resistant Neisseria gonorrhoeae and multi-drug-resistant Staphylococcus aureus (MRSA). Using generative AI algorithms, the research...

AI Hybrid Strategy Improves Mammogram In…

A hybrid reading strategy for screening mammography, developed by Dutch researchers and deployed retrospectively to more than 40,000 exams, reduced radiologist workload by 38% without changing recall or cancer detection...

Penn Developed AI Tools and Datasets Hel…

Doctors treating kidney disease have long depended on trial-and-error to find the best therapies for individual patients. Now, new artificial intelligence (AI) tools developed by researchers in the Perelman School...

Are You Eligible for a Clinical Trial? C…

A new study in the academic journal Machine Learning: Health discovers that ChatGPT can accelerate patient screening for clinical trials, showing promise in reducing delays and improving trial success rates. Researchers...

Global Study Reveals How Patients View M…

How physicians feel about artificial intelligence (AI) in medicine has been studied many times. But what do patients think? A team led by researchers at the Technical University of Munich...

New AI Tool Addresses Accuracy and Fairn…

A team of researchers at the Icahn School of Medicine at Mount Sinai has developed a new method to identify and reduce biases in datasets used to train machine-learning algorithms...