Lab-on-a-Chip Device Mimics Eye Damage Due to Intense Light

Medical Design Briefs INSIDER

Light damaged retina cone photoreceptors will spread the death signal to neighbor cells and cause irrevocable damage in a 24-hour period. (Credit: Yuan Ma and Lidong Qin/Houston Methodist)

Researchers have 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.

Researchers led by Houston Methodist Research Institute nanomedicine faculty member Lidong Qin, PhD, have 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,” says 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.

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.

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