UMD Researchers Revolutionize Oxidative Stress Diagnostics

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L-R: Deanna Kelly, Eunkyoung Kim, and Greg Payne. Inventor not pictured: Mijeong Kang.

A phenomenon called oxidative stress is thought to be linked to a number of diseases including cardiovascular disease, Alzheimer’s, and schizophrenia, among others, but current methods of measuring oxidative stress for diagnostic purposes are costly, slow, and provide limited results. However, University of Maryland researchers have invented a tool that detects biological signatures in blood that measures the level of oxidative stress in a patient.

The standard techniques to measure oxidative stress in clinical samples generally involve measuring individual antioxidants, a costly, time-consuming process that  can potentially miss important markers for diagnosing or treating diseases. The UMD research team’s method applies the power of signal processing to chemical analysis, enabling a rapid and adaptable diagnostic tool.

The process can be likened to sonar, where sound pulses are emitted and then measured based on the reflection of sound, or an echo. To detect the level of oxidative stress in blood, the researchers use an electrode to transmit a reduction-oxidation (redox) signal and allow the transmission to undergo redox interactions with components in the sample. The researchers then measure the “reflected” redox signals – like an echo – that result from these interactions and interpret them using information processing methods. The process measures oxidative stress at a global rather than individual level, a cheaper and quicker technique.

“We envision directly translating our research to point-of-care and wearable chemical sensors,” said Greg Payne, professor at the Institute for Bioscience & Biotechnology Research (IBBR) and Fischell Department of Bioengineering, and one of the inventors. “We hope our research will accelerate biomarker discovery for applications in clinical diagnosis, enable rapid point-of-care measurements just as EKGs are used in physicians’ offices, and even enable wearable, Fitbit-type devices for chemical analysis.”

The invention, called “Transformational Electronic Tool for Chemical Analysis: Oxidative Stress Detection,” was invented by: Payne; Deanna Kelly, professor of psychiatry and affiliate professor of pharmacy practice and science at the University of Maryland, Baltimore’s School of Medicine; IBBR Post-Doctoral Associate Mijeong Kang; and IBBR Research Associate Eunkyoung Kim.

The team’s first application of the new technology is to detect signatures of oxidative stress in people living with schizophrenia.

“We are interested in this technology’s utility and role in aiding in the diagnosis of schizophrenia and helping serve as a treatment target for the disorder to objectively measure effectiveness,” said Kelly. “The current care of people with this disease mostly involves subjective symptom measures and no biological information. This technology may revolutionize the way we treat schizophrenia patients.”

In addition to clinical diagnostics, the team envisions their research being applied to homeland security and defense since it provides new sensing capabilities. The inventors are currently working to further hone their research before moving to commercialization.

The team’s research was funded through the National Institutes of Health (NIH), National Science Foundation (NSF), the Defense Threat Reduction Agency (DRTA), and UM Ventures

“Transformational Electronic Tool for Chemical Analysis: Oxidative Stress Detection” has been nominated for the Invention of the Year award in the life sciences category, for which the winners will be announced at the 2018 Innovate Maryland celebration on April 11.

Learn more about Innovate Maryland and the Invention of the Year Award nominees.

Related Publications

Kim, E., Winkler, T., Kitchen, C., Kang, M., Banis, G.,  Bentley, W.E., Kelly, D.L., Ghodssi, R., Payne, G.F. (2017). Redox Probing for Chemical Information of Oxidative Stress. Analytical Chemistry, 89 (3), 1583-1592

Published March 13, 2018