December 5, 2019

Three types of cells help the brain tell day from night

Salk researchers identify light-sensitive cells in humans that appear to help establish healthy day-night cycles

Salk News

Three types of cells help the brain tell day from night

Salk researchers identify light-sensitive cells in humans that appear to help establish healthy day-night cycles

LA JOLLA—Bright light at night interrupts the body’s normal day-night cycles, called circadian rhythms, and can trigger insomnia. In fact, circadian rhythms play a major role in health. Disrupted day-night cycles have even been linked to increased incidence of diseases like cancer, heart disease, obesity, depressive disorders and type 2 diabetes in people who work night shifts. Therefore, understanding how human eyes sense light could lead to “smart” lights that can prevent depression, foster sleep at night, and maintain healthy circadian rhythms.

In a Science study published December 5, 2019, researchers at the Salk Institute report the discovery of three cell types in the eye that detect light and align the brain’s circadian rhythm to our ambient light. The study marks the first direct assessment in humans of light responses from these cells, called intrinsically photosensitive retinal ganglion cells (ipRGCs)—and the implications for health are substantial.

Ludovic Mure and Satchin Panda
Ludovic Mure and Satchin Panda

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Credit: Salk Institute

“We have become mostly an indoor species, and we are removed from the natural cycle of daylight during the day and near-complete darkness at night,” says Salk Professor Satchidananda Panda, senior author of the paper. “Understanding how ipRGCs respond to the quality, quantity, duration, and sequence of light will help us design better lighting for neonatal ICUs, ICUs, childcare centers, schools, factories, offices, hospitals, retirement homes and even the space station.”

This new understanding of ipRGCs may also fuel future research into developing therapeutic lighting that can treat depression, insomnia, Attention Deficit and Hyperactivity Disorder (ADHD), migraine pain, and even sleep problems among patients with Alzheimer’s disease.

“It’s also going to open a number of avenues to try new drugs or work on particular diseases that are specific to humans,” says Ludovic Mure, a postdoctoral researcher in the Panda lab and first author of the new study.

While ipRGCs had been identified before in mouse retinas, these cells had never been reported in humans. For the new study, the Salk team used a new method developed by study co-authors Anne Hanneken of Scripps Research Institute and Frans Vinberg of John A. Moran Eye Center of the University of Utah to keep retina samples healthy and functional after donors passed away. The researchers then placed these samples on an electrode grid to study how they reacted to light.

They found that a small group of cells began firing after just a 30-second pulse of light. After the light was turned off, some of these cells took several seconds to stop firing. The researchers tested several colors of light, and found that these “intrinsically photosensitive” cells were most sensitive to blue light—the type used in popular cool-white LED lights and in many of our devices, such as smartphones and laptops.

Follow-up experiments revealed three distinct types of ipRGCs. Type 1 responded to light relatively quickly but took a long time to turn off. Type 2 took longer to turn on and also very long to turn off. Type 3 responded only when a light was very bright, but they turned on faster and then switched off as soon as the light was gone. Understanding how each ipRGC type functions may allow researchers to better design lighting or even therapeutics that can turn the cell activity on or off.

The new study actually helps explain a phenomenon reported in past studies of some blind people. These people, despite not being able to see, are still able to align their sleep-wake cycle and circadian rhythms to a day-night cycle. Thus, they must be sensing light somehow.

Now it appears that ipRGCs are the cells responsible for sending that light signal to the brain, even in people who lack the rod and cone cells needed to relay an image to the brain.

It also appears that, in people with functional rods and cones, ipRGCs actually work closely with these other visual cells. The new study suggests that ipRGCs can combine their own light sensitively with light detected by the rods and cones to add brightness and contrast information to what we see.

“This adds another dimension to designing better televisions, computer monitors and smartphone screens in which changing the proportion of blue light can trick the brain into seeing an image as bright or dim,” says Panda.

Panda says the next step in this research will be to study the net output of these cells under different light colors, intensity and duration—for example, comparing how they react to short pulses of light versus a longer duration of a few minutes. The team is also interested in how the cells react to sequences of light, such as a blue light that turns orange or vice versa, which would mimic some of the variety of light we encounter in nature at dawn and dusk.

“Repeating these experiments in donor retina preparations from various ages will also help us understand whether or to what extent young and older individuals differ in their ipRGC function, which may help in designing indoor light for better day-night synchronization generally and perhaps even such applications as mood improvement among older individuals and patients with dementia,” says Panda.

Other authors included Frans Vinberg of the John A. Moran Eye Center of the University of Utah and Anne Hanneken of Scripps Research.

The work was funded by the National Institutes of Health (grants EY 016807 and EY026651), philanthropic foundation grants, and Fondation Fyssen and Catharina Foundation fellowships.

DOI: 10.1126/science.aaz0898





Functional diversity of human intrinsically photosensitive retinal ganglion cells


Ludovic S. Mure, Frans Vinberg, Anne Hanneken, Satchidananda Panda

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