Engineering researchers use laser to “weld” neurons
News Feb 10, 2016
Development creates new medical research possibilities -
A research team based in the Faculty of Engineering at the University of Alberta has developed a method of connecting neurons, using ultrashort laser pulses—a breakthrough technique that opens the door to new medical research and treatment opportunities.
The team is the first ever to find a way to bond neurons and in doing so, has given researchers a powerful new tool.
“The immediate application is for researchers. They finally have a new tool to do what they have not been able to do before,” said Nir Katchinskiy, a second-year PhD student in Electrical Engineering who led the study. “We’re engineers. We come up with tools that provide potential.”
The team’s findings are published in the journal Nature Scientific Reports.
Katchinskiy had a real-life application in mind when he started the project.
“I was really interested in the nervous system—if you have a severed nerve, you can’t repair it,” he said. “My thought was, what if we could ‘weld’ it back up right after it’s injured?”
To conduct the study, two neurons, put in a special solution that prevents them from sticking together, were brought into contact with each other. Femtosecond laser pulses—each ultrashort pulse occurring every 10-15 seconds—were delivered to the meeting point of the two cells. Although the outside layer of the cells was partially compromised, the inside of that protective layer remained intact. As a result, the two cells established solid bonds forming a common membrane at the targeted area.
Throughout multiple experiments, the cells remained viable and the connection strong. It took the neurons 15 milliseconds to stick to each other—the process would have taken hours to occur naturally.
The biggest advantage of the discovery is that it gives researchers complete control on the cell connection process. “You can really plan any experiment. The idea is to show that you can use it (femtosecond laser) as a research tool to control what you are attaching,” said Katchinskiy.
“You may not be able to go in and treat the human spine with this, but it brings you closer,” said electrical engineering professor Abdul Elezzabi, who is a co-author of the paper and Katchinskiy’s research supervisor. “But it brings you closer to how these things work.”
So far, the team has applied this method to three types of cells, but the potential of the technique seems limitless. For this project, Katchinskiy and Elezzabi, who are in the Department of Electrical and Computer Engineering, teamed up with professor Roseline Godbout from the UAlberta's Department of Oncology and Cross Cancer Institute and Dr. Helly Goez, a professor in the division of pediatric neurology in the Department of Pediatrics at UAlberta's Faculty of Medicine and Dentistry. Both are also co-authors of the paper.
“We have two of the biggest researchers on cancer working with us,” said Elezzabi, a professor who is Katchinskiy’s research supervisor. Elezzabi says femtosecond lasers can prove efficient in prostate, brain and ocular cancer research and treatment. Another possible application is in post cancer surgery treatment.
Note: Material may have been edited for length and content. For further information, please contact the cited source.
Katchinskiy N et al. Novel Method for Neuronal Nanosurgical Connection. Scientific Reports, Published Online February 5 2016. doi: 10.1038/srep20529
Researchers Find a Way to Separate Side Effects of Opioid Drugs Reducing RiskNews
Scientists have discovered a way to separate these two effects -- pain relief and breathing, opening a window of opportunity to make effective pain medications without the risk of respiratory failure.READ MORE
Biological Mechanism of a Leading Cause of Childhood Blindness RevealedNews
Scientists have revealed the pathology of cells and structures stricken by optic nerve hypoplasia, a leading cause of childhood blindness in developed nations.READ MORE
Machine Learning: Helping Determine How a Drug Affects the BrainNews
Machine learning could improve our ability to determine whether a new drug works in the brain, potentially enabling researchers to detect drug effects that would be missed entirely by conventional statistical tests, finds a new UCL study published today in Brain.READ MORE