Lab-on-a-chip device mimics eye damage due to intense light
Houston Methodist researchers create eye neuron network model to study retinal diseases, possible treatment options
Houston Methodist researchers developed a new lab-on-a-chip technology that could quickly screen possible drugs to repair damaged neuron and retinal connections, like what is seen in people with macular degeneration or who’ve had too much exposure to the glare of electronic screens.
In the May 9 issue of Science Advances, researchers led by Houston Methodist Research Institute nanomedicine faculty member Lidong Qin, Ph.D., explain how they created a sophisticated retina cell network on a chip that is modeled after a human’s neural network. This will further the quest for finding the right drug to treat such retinal diseases.
“Medical treatments have advanced but there is still no perfect drug to cure any one of these diseases. Our device can screen drugs much faster than previous technologies. With the new technology and a few years’ effort, the potential to develop a new drug is highly possible,” said Qin.
Named the NN-Chip, the high-throughput platform consists of many channels that can be tailored to imitate large brain cell networks as well as focus on individual neural cells, such as those found in the retina. Using extremely bright light to selectively damage retina photoreceptors in the device, they discovered the damaged cells are not only difficult to recover but also cause neighboring cells to quickly die.
“This so-called ‘bystander killing effect’ in retina cone photoreceptors leads us to believe that once retina cells are severely damaged, the killing effect will spread to other healthy cells which can cause irrevocable damage,” said Qin. “What surprised us was how quickly the killing effect progressed in the experimental model. Damage went from 100 cells to 10, 000 cells in 24 hours.”
The NN-Chip is an improvement on Qin’s BloC-Printing technology, which allowed researchers to print living cells onto any surface in any shape within the confines of a mold. With this latest iteration, Qin’s lab loaded and tested cells with micro-needles in an open dish so they could tailor the neural network device, study individual cells as well as the progression of drugs through the platform’s many channels.
Retinal degeneration is a leading cause of blindness that, together with glaucoma, retinitis pigmentosa, and age-related macular degeneration, will affect 196 million people worldwide in 2020.
Qin hopes the platform will have additional applications in creating models for Huntington's and Alzheimer's diseases and screening therapeutic drugs.
Microfluidics focuses on the behavior of fluids through micro-channels, as well as the technology of manufacturing micro devices containing chambers and tunnels to house fluids. In addition to the BloC-Printing chip, Qin’s lab at Houston Methodist also successfully developed a nonconventional lab-on-a-chip technology called the V-Chip for point-of-care diagnostics, making it possible to bring tests to the bedside, remote areas, and other types of point-of-care needs.
Science Advances is a peer-reviewed, open-access journal published by the American Association for the Advancement of Science. Other collaborators from Houston Methodist Research Institute were Yuan Ma, Xin Han, Ricardo Bessa de Castro, Pengchao Zhang, Kai Zhang and Zhongbo Hu. Ma and Hu are collaborators from University of Chinese Academy of Sciences in Beijing. Bessa de Castro is a visiting scholar from Swansea University in the United Kingdom.
This research was funded by National Institutes of Health (R01 CA180083, R56 AG049714 and R21 CA191179.).
To speak with Lidong Qin, contact Gale Smith, Houston Methodist, at 281.627.0439 or firstname.lastname@example.org. For more information about Houston Methodist, visit houstonmethodist.org. Follow us on Twitter and Facebook.
For more information: Analysis of the bystander effect in cone photoreceptors via a guided neural network platform. Science Advances DOI: 10.1126/sciadv.aas9274.