Eyeing the brain: Using retinal imaging to predict cerebrovascular diseases

(Image Credit: AdobeStock/Artem)

Researchers know the brain is one of the most metabolically active organs in the human body, representing just 2 percent of the body’s weight while receiving 15 to 20 percent of the body’s total blood supply.

If the blood flow to the brain is disrupted for an extended period of time, it leads to a condition known as “chronic cerebral hypoperfusion” (CCH), can lead to serious cerebrovascular diseases such as white matter disease.

According to a news release from the International Society for Optics and Photonics, CCH manifests as lesions in the white matter, a brain region vulnerable to problems with blood supply. Unfortunately, CCH has no available cure. An early diagnosis by visualizing the microvascular changes in the brain that occur prior to lesion development is thus crucial. However, such a diagnosis is challenging with the available imaging techniques.

It turns out that a window into the microvasculature of the brain may come from our eyes. The retina at the back of the eye is a peripheral part of the central nervous system and shares many similarities with cerebral brain matter. But it has fewer nerve cell types and a simpler structure, making it an excellent target for studying neural circuitry and neurovascular coupling.

In a recent study,¹ researchers from the United States and China, led by Baoqiang Li, PhD, associate professor at the Chinese Academy of Sciences, investigated whether blood flow in the retina at the microscopic level could be used to predict cerebrovascular diseases involving hypoperfusion. To test this hypothesis, the team developed an innovative imaging approach based on two-photon microscopy.

According to the society’s news release, the researchers first induced CCH in mice by slightly blocking their carotid arteries. A week after, they studied one of their eyes directly under a two-photon microscope. The researchers observed and counted red blood cells (RBCs) circulating within individual capillaries in the retinal microvasculature of mice by labeling their blood plasma with a fluorescent tag.

The society noted in the news release that the key to the research and resulting tests was to quantify the flux of RBCs in as many capillaries as possible. As a result, the researchers measured their results against those of similar measurements made on cerebral gray and white matter in a previous study performed under similar experimental conditions.

Moreover, according to the society’s news release, researcher discovered that the mean capillary RBC flux in the retina was more significantly affected by CCH than those in the white and gray matter. While the mean RBC flux decreased by 56 percent in the retina of CCH mice compared to that in normal mice, the corresponding reductions were only 36 percent and 6 percent in their white and gray matter, respectively.

The society noted in its news release the findings indicate that microcirculation in the retina could be a promising predictor of CCH, and potentially serve as an early diagnostic biomarker for cerebrovascular diseases. Moreover, the imaging approach developed by the researchers is efficient, has high signal quality, and can be implemented with a standard commercial two-photon microscope.¹

“Being able to image retinal vascular physiology in vivo without adaptive optics is innovative,” Andy Shish, PhD, of the Seattle Children’s Research Institute. “The results from this study may encourage further application of conventional two-photon imaging to retinal research.”

According to the society’s news release, future research using the proposed imaging technique could enable researchers to better understand neural circuits and neurovascular coupling. It may also help save lives through earlier diagnoses of cerebrovascular diseases.

Reference:

1. Li et al., “Differential reductions in the capillary red-blood-cell flux between retina and brain under chronic global hypoperfusion,” Neurophotonics 10(3), 035001 (2023), doi 10.1117/1.NPh.10.3.035001