An eye neuron network model to study retinal diseases has been created by Houston Methodist researchers.
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.