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Home NEWS Science News Health

Rat spinal cords control neural function in biobots

Bioengineer by Bioengineer
April 28, 2020
in Health
Reading Time: 3 mins read
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The interaction between a rat spinal cord and an engineered muscle system displays behavior similar to the peripheral nervous system

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Credit: Collin D. Kaufman

WASHINGTON, Tuesday, April 28, 2020 — Biological robots, or biobots, draw inspiration from natural systems to mimic the motions of organisms, such as swimming or jumping. Improvements to biobots to better replicate complex motor behaviors can lead to exciting biorobotic engineering applications to help solve real world challenges. However, this requires the creation of biohybrid robots — biobots made up of both organic and artificial materials — which is a challenge.

Researchers from the University of Illinois at Urbana-Champaign combined an intact rat spinal cord with a tissue-engineered, 3D muscle system. They describe the novel biohybrid system in the journal APL Bioengineering, from AIP Publishing.

After culturing the system for seven days, the researchers found that the motor neurons from the spinal cord begin to produce electrical activity that causes contraction in the artificial muscles, mirroring the behavior of the peripheral nervous system.

“When we looked more deeply at how the neuron-muscle interface developed, we were very excited to observe many similarities between our tissue-engineered spinobot and in vivo development,” said author Collin Kaufman, a neuroscience graduate student at UIUC.

Kaufman said this result indicates the explanted spinal cord is a viable mechanism for controlling muscular behaviors, even when removed from its natural environment.

They further tested this by varying the concentration of neurotransmitters in the system. When additional neurotransmitters are present, the contractions are more patterned and consistent, and when they are blocked, the twitching decreases.

Because studying the peripheral nervous system can be so difficult, the ability to observe it externally — as demonstrated in the present study — can lead to great strides in medicine.

One potential example is in Lou Gehrig’s disease, also known as amyotrophic lateral sclerosis, in which the death of neurons results in the eventual loss of motor function. By developing an external peripheral nervous system, researchers can study ALS with ease of access to the impacted components in real time.

“The next steps to studying such a disease are surprisingly close,” Kaufman said. “By replacing the muscle, the spinal cord, or any combination of the two tissues with an ALS mutant model, researchers would be able to study how diseased neurons interact with nearby muscles.”

In addition, hybrid biobots can be used as surgical training tools, allowing medical students to perform practice surgery on real biological tissue.

“The future applications of this technology are only beginning to be understood, and we expect many great things from this area in the next few years,” said Martha Gillette, professor of cell and developmental biology at UIUC.

###

The article, “Emergence of functional neuromuscular junctions in an engineered, multicellular spinal cord-muscle bioactuator,” is authored by C.D. Kaufman, S.C. Liu, C. Cvetkovic, C. Lee, G. Naseri Kouzehgarani, R. Gillette, R. Bashir and M.U. Gillette. The article will appear in AIP Bioengineering on April 28, 2020 (DOI: 10.1063/1.5121440). After that date, it can be accessed at https://aip.scitation.org/doi/10.1063/1.5121440.

ABOUT THE JOURNAL

APL Bioengineering is an open access journal publishing significant discoveries specific to the understanding and advancement of physics and engineering of biological systems. See http://aip.scitation.org/journal/apb.

Media Contact
Larry Frum
[email protected]

Related Journal Article

http://dx.doi.org/10.1063/1.5121440

Tags: BiologyBiomechanics/BiophysicsBiomedical/Environmental/Chemical EngineeringBiotechnologyChemistry/Physics/Materials SciencesMedicine/HealthneurobiologyRobotry/Artificial IntelligenceTechnology/Engineering/Computer Science
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