Researchers have developed a novel, automated device capable of diagnosing glioblastoma, a fast-growing and incurable brain cancer, in less than an hour. The average glioblastoma patient survives 12-18 months after diagnosis.
Researchers at the University of Notre Dame have developed a novel, automated device capable of diagnosing glioblastoma, a fast-growing and incurable brain cancer, in less than an hour. The average glioblastoma patient survives 12-18 months after diagnosis.
To do this, researchers created a biochip that uses an inexpensive, electrokinetic sensor about the size of a ball in a ballpoint pen. Due to the size of the extracellular vesicles, antibodies on the sensor can form multiple bonds to the same extracellular vesicle. This method significantly enhances the sensitivity and selectivity of the diagnostic.
"Our electrokinetic sensor allows us to do things other diagnostics cannot," said Satyajyoti Senapati, a research associate professor of chemical and biomolecular engineering at Notre Dame and co-author of the study."We can directly load blood without any pretreatment to isolate the extracellular vesicles because our sensor is not affected by other particles or molecules. It shows low noise and makes ours more sensitive for disease detection than other technologies.
Although this diagnostic device was developed for glioblastoma, the researchers say it can be adapted for other types of biological nanoparticles. This opens up the possibility for the technology to detect a number of different biomarkers for other diseases. Chang said the team is exploring the technology for diagnosing pancreatic cancer and potentially other disorders such as cardiovascular disease, dementia and epilepsy.
In addition to Chang and Senapati, other collaborators include former postdocs at Notre Dame Nalin Maniya and Sonu Kumar; Jeffrey Franklin, James Higginbotham and Robert Coffey from Vanderbilt University; and Andrew Scott and Hui Gan from the Olivia Newton-John Cancer Research Institute and La Trobe University. The study was funded by the National Institutes of Health Common Fund.Nalin H. Maniya, Sonu Kumar, Jeffrey L. Franklin, James N. Higginbotham, Andrew M. Scott, Hui K. Gan, Robert J.
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