First pathoconnectome shows how eye disease alters retinal circuitry

NewsGuard 100/100 Score

Scientists from the John A. Moran Eye Center at the University of Utah have achieved another first in the field of connectomics, which studies the synaptic connections between neurons.

Moran's Marclab for Connectomics was the first to complete a map of the circuitry of the retina, or connectome, in 2011. Now, the National Institutes of Health (NIH)-funded lab has produced the first pathoconnectome, showing how eye disease alters retinal circuitry.

The implications of the published research, A pathoconnectome of early neurodegeneration: Network changes in retinal degeneration, extend far beyond eye diseases. The eye holds lessons applicable to a host of neurodegenerative diseases including Alzheimer's, Parkinson's, epilepsy, and Lou Gehrig's disease.

The components of neurodegeneration we see in the eye seem to mimic those we see in the brain. So this pathoconnectome is allowing us to learn fundamental rules of how neurodegenerative diseases alter neural networks in general. The ultimate goal is to identify how we might develop new therapies based on preventing or interfering with the network rewiring prompted by disease."

Rebecca L. Pfeiffer, PhD, Study Lead Author, University of Utah Health

The Marclab developed the pathoconnectome from a model of early-stage retinitis pigmentosa (RP), an inherited retinal disease that can lead to blindness. The immense data set compiled to construct the pathoconnectome has taken years to assemble and is open for use by other scientists.

The Marclab is working on a second and third pathoconnectome that will show how the retina rewires itself in later stages of RP.

Source:
Journal reference:

Pfeiffera, R. L., et al. (2020) A pathoconnectome of early neurodegeneration: Network changes in retinal degeneration. Experimental Eye Research. doi.org/10.1016/j.exer.2020.108196.

Comments

The opinions expressed here are the views of the writer and do not necessarily reflect the views and opinions of News Medical.
Post a new comment
Post

While we only use edited and approved content for Azthena answers, it may on occasions provide incorrect responses. Please confirm any data provided with the related suppliers or authors. We do not provide medical advice, if you search for medical information you must always consult a medical professional before acting on any information provided.

Your questions, but not your email details will be shared with OpenAI and retained for 30 days in accordance with their privacy principles.

Please do not ask questions that use sensitive or confidential information.

Read the full Terms & Conditions.

You might also like...
Deep learning shines a new light on Parkinson's detection through the eye