The University of Houston's Navin Varadarajan explains that while COVID vaccines prevent advanced disease, they don’t prevent transmission. But he has a solution. Photo via Getty Images

Since the force of COVID-19 hit globally in 2020, scientists have made efficient progress in the fight against it. As Dr. Navin Varadarajan puts it, vaccines have “allowed us to become a society again.”

And he should know, the M.D. Anderson Professor of William A. Brookshire Chemical and Biomolecular Engineering at University of Houston just published back-to-back studies for nasal sprays that combat viruses. One, the NanoSTING therapeutic, has proven effective in treating strains of SARS-CoV-2 and the flu virus. The other, NanoSTING-NS Pan-coronavirus Vaccine is targeted at preventing the transmission of multiple COVID variants altogether.

Why a nasal vaccine? Varadarajan explains that while COVID vaccines prevent advanced disease, they don’t prevent transmission.

“Intramuscular vaccines do not facilitate a component of peer immunity called mucosal immunity, which takes care of these points of entries, these wet surfaces, which can be of the nose and the wet surfaces of the nose, and so they don't prevent transmission,” he tells InnovationMap. “So I can be vaccinated, I pick up a small infection that's confined largely to my nostrils, and I can still pass it on to vulnerable people, the aged, the immunocompromised people who have all the drugs they're taking to fight other things, like cancer patients. And so for them, the vaccines tend to be less efficacious, and if I transfer it to them, unfortunately they can end up in a hospital, right? And so preventing transmission is the way to end this cycle.”

Dr. Navin Varadarajan is the M.D. Anderson Professor of William A. Brookshire Chemical and Biomolecular Engineering at University of Houston. Photo via UH.edu

The NanoSTING-NS is also notable for its potential ability to end what Varadarajan calls “the endless cycle of boosting.” The way to do that, he explains, is to prevent the infection at its root. And theoretically, his lab’s invention could do that. But he cautions readers not to get too excited just yet.

The vaccine is currently in the phase of animal testing, though Varadarajan is hopeful that it could move to human samples in about a year.

The therapeutic can treat multiple respiratory viruses by using fat droplets to deliver the immune booster cGAMP.

“The ability to activate the innate immune system presents an attractive route to armoring humans against multiple respiratory viruses, viral variants and also minimizing transmission to vulnerable people,” says postdoctoral associate Ankita Leekha, first author on the paper that shares NanoSTING’s findings. “The advantage of NanoSTING is that only one dose is required, unlike the antivirals like Tamiflu that require 10 doses.”

Ankita Leekha is the first author on the paper that shares NanoSTING’s findings. Photo via UH.edu

Varadarajan puts it even more simply: “Just like we have Tylenol, just like you take aspirin, you feel like you have some symptoms, and you take it afterwards.”

Currently, he says that the partners with whom the lab is working towards commercialization are prioritizing the therapeutic over the vaccine. The reasons are clear. Varadarajan explains that, while we’ve now long had antibiotics to broadly combat infections, there hasn’t been anything like that to battle viruses. With its ability to target multiple viruses, NanoSTING could be that innovation.

“We activate the innate immune system. So our drug is not virus-specific. Our drug works by activating your own immune system, and that will then fight off different kinds of viruses,” he says.

A single product that treats everything from the common cold to COVID-19 by capitalizing on the patient’s own immune system could be closer than we realize.

The researchers hope to get the vaccine into human trials soon. Photo via UH.edu

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Houston doctor wins NIH grant to test virtual reality for ICU delirium

Virtual healing

Think of it like a reverse version of The Matrix. A person wakes up in a hospital bed and gets plugged into a virtual reality game world in order to heal.

While it may sound far-fetched, Dr. Hina Faisal, a Houston Methodist critical care specialist in the Department of Surgery, was recently awarded a $242,000 grant from the National Institute of Health to test the effects of VR games on patients coming out of major surgery in the intensive care unit (ICU).

The five-year study will focus on older patients using mental stimulation techniques to reduce incidences of delirium. The award comes courtesy of the National Institute on Aging K76 Paul B. Beeson Emerging Leaders Career Development Award in Aging.

“As the population of older adults continues to grow, the need for effective, scalable interventions to prevent postoperative complications like delirium is more important than ever,” Faisal said in a news release.

ICU delirium is a serious condition that can lead to major complications and even death. Roughly 87 percent of patients who undergo major surgery involving intubation will experience some form of delirium coming out of anesthesia. Causes can range from infection to drug reactions. While many cases are mild, prolonged ICU delirium may prevent a patient from following medical advice or even cause them to hurt themselves.

Using VR games to treat delirium is a rapidly emerging and exciting branch of medicine. Studies show that VR games can help promote mental activity, memory and cognitive function. However, the full benefits are currently unknown as studies have been hampered by small patient populations.

Faisal believes that half of all ICU delirium cases are preventable through VR treatment. Currently, a general lack of knowledge and resources has been holding back the advancement of the treatment.

Hopefully, the work of Faisal in one of the busiest medical cities in the world can alleviate that problem as she spends the next half-decade plugging patients into games to aid in their healing.

Houston scientists develop breakthrough AI-driven process to design, decode genetic circuits

biotech breakthrough

Researchers at Rice University have developed an innovative process that uses artificial intelligence to better understand complex genetic circuits.

A study, published in the journal Nature, shows how the new technique, known as “Combining Long- and Short-range Sequencing to Investigate Genetic Complexity,” or CLASSIC, can generate and test millions of DNA designs at the same time, which, according to Rice.

The work was led by Rice’s Caleb Bashor, deputy director for the Rice Synthetic Biology Institute and member of the Ken Kennedy Institute. Bashor has been working with Kshitij Rai and Ronan O’Connell, co-first authors on the study, on the CLASSIC for over four years, according to a news release.

“Our work is the first demonstration that you can use AI for designing these circuits,” Bashor said in the release.

Genetic circuits program cells to perform specific functions. Finding the circuit that matches a desired function or performance "can be like looking for a needle in a haystack," Bashor explained. This work looked to find a solution to this long-standing challenge in synthetic biology.

First, the team developed a library of proof-of-concept genetic circuits. It then pooled the circuits and inserted them into human cells. Next, they used long-read and short-read DNA sequencing to create "a master map" that linked each circuit to how it performed.

The data was then used to train AI and machine learning models to analyze circuits and make accurate predictions for how untested circuits might perform.

“We end up with measurements for a lot of the possible designs but not all of them, and that is where building the (machine learning) model comes in,” O’Connell explained in the release. “We use the data to train a model that can understand this landscape and predict things we were not able to generate data on.”

Ultimately, the researchers believe the circuit characterization and AI-driven understanding can speed up synthetic biology, lead to faster development of biotechnology and potentially support more cell-based therapy breakthroughs by shedding new light on how gene circuits behave, according to Rice.

“We think AI/ML-driven design is the future of synthetic biology,” Bashor added in the release. “As we collect more data using CLASSIC, we can train more complex models to make predictions for how to design even more sophisticated and useful cellular biotechnology.”

The team at Rice also worked with Pankaj Mehta’s group in the department of physics at Boston University and Todd Treangen’s group in Rice’s computer science department. Research was supported by the National Institutes of Health, Office of Naval Research, the Robert J. Kleberg Jr. and Helen C. Kleberg Foundation, the American Heart Association, National Library of Medicine, the National Science Foundation, Rice’s Ken Kennedy Institute and the Rice Institute of Synthetic Biology.

James Collins, a biomedical engineer at MIT who helped establish synthetic biology as a field, added that CLASSIC is a new, defining milestone.

“Twenty-five years ago, those early circuits showed that we could program living cells, but they were built one at a time, each requiring months of tuning,” said Collins, who was one of the inventors of the toggle switch. “Bashor and colleagues have now delivered a transformative leap: CLASSIC brings high-throughput engineering to gene circuit design, allowing exploration of combinatorial spaces that were previously out of reach. Their platform doesn’t just accelerate the design-build-test-learn cycle; it redefines its scale, marking a new era of data-driven synthetic biology.”