NIH grant renewal will enable Nebraska scientist to advance research on virtual immune system

The renewal of a National Institutes of Health grant will enable a University of Nebraska-Lincoln researcher to continue developing a tool that illuminates the complex, multi-scale interplay of the immune system's many components.

Tomas Helikar, Susan J. Rosowski Associate Professor of biochemistry, will use the five-year, $1.8 million grant from the NIH's Maximizing Investigators' Research Award program to advance his work on a virtual immune system aimed at increasing our understanding of immune-related diseases and ramping up the speed and efficiency of drug development.

Helikar thinks the model could greatly reduce the duration and cost of a drug's journey from the lab to the marketplace, which often lasts more than 10 years and costs roughly $1.3 billion dollars.

By being able to map out, model and simulate the human immune system, the goal is that we can identify more effective drug targets and eliminate the bad hypotheses that may take you down a rabbit hole that doesn't go anywhere."

Tomas Helikar, Susan J. Rosowski Associate Professor of biochemistry

The model would fill a gap in human health science. Though the immune system is arguably one of the most complex "machines" in the human body, there's no computer representation of it that allows scientists to test hypotheses in a low-stakes environment.

"One way to think about it is that we have models of engines and rockets that we simulate before we put them to use, and we're able to predict the different parameters that will make them work," he said. "On the human health side, we don't really have that equivalent. Our long-term goal is to develop a tool like that."

It's an ambitious task: The immune system comprises organs, tissues, antibodies, cells, genes and more that are constantly influencing the behavior of one another. These interactions play out across different scales: in different parts of the body, at different points in time and at different levels of organization.

To demonstrate the viability of including each of the scales in a single model, Helikar and a team of Husker collaborators -; whose expertise includes software and technology development, immunology, biology, biochemistry and beyond -; used the first installment of the MIRA grant to build computational methods and a tool focused on just one type of immune cell. They selected CD4+ T cells, which are "helpers" in the immune system that stimulate other cells to fight pathogens.

As detailed in a study recently published in PLOS Computational Biology, the team successfully built a CD4+ T cell-based model incorporating four different mathematical approaches, three spatial scales and different immune tissues.

The team's success in launching that model was key, Helikar said, because it established a method for mathematically and computationally connecting the immune system's different scales. But expanding the model to include more types of cells, molecules, genes and organs will require linking together an even greater number of mathematical approaches in a computationally cost-effective way. Clearing that hurdle by improving the speed and efficiency of the model's algorithms is a major goal of the next five years.

Helikar also plans to enable the model to account for the physiology of an individual person or a particular demographic group. This step may open the door to personalized medicine, where doctors can tailor drug regimens according to a particular patient's immune function.

Though the project's scale is daunting, Helikar is motivated by his experiences as a father. In 2014, his son was born with a rare genetic mutation that required a double lung transplant at nine weeks old – making him the second-youngest human ever to undergo that procedure.

The transplant has thus far gifted Helikar's son with seven years of life -; two years beyond the average life expectancy for lung transplant recipients. But one cost of the procedure is a compromised immune system: When a patient undergoes a transplant, their immune system can view the new organ as an invader and attack it.

To blunt that response, transplant recipients take immunosuppressive medications. But those drugs weaken the immune system universally, making patients more susceptible to infectious diseases and cancer.

The trick, Helikar said, is to fine-tune the immune system so it doesn't destroy the transplanted organ, but retains its ability to protect recipients from everything else. Seeing first-hand the need to strike this delicate balance fueled his research ambitions.

"With my son, that made me laser-focused on the immune system," Helikar said. "I see the importance of understanding fully how the immune system works and how we can actually rewire it and reprogram it to do what we need it to do."

With support from the University of Nebraska Collaboration Initiative, Helikar is partnering with doctors from the University of Nebraska Medical Center, including a liver transplant expert, to explore how his model can help transplant recipients.

Source:
Journal reference:

Wertheim, K.Y., et al. (2021) A multi-approach and multi-scale platform to model CD4+ T cells responding to infections. PLOS Computational Biology. doi.org/10.1371/journal.pcbi.1009209.

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...
New insights into stiff-person syndrome, advancing diagnosis and treatment