In the paper, "Integration of genomics and transcriptomics predicts diabetic retinopathy susceptibility genes," published in eLife, researchers identified genes that respond differently in response to high glucose in individuals with and without diabetic retinopathy.

Dr. Michael Grassi, associate professor of ophthalmology at UIC's College of Medicine, his collaborator, Dr. Barbara Stranger of Northwestern University, and their teams set out to identify genes that cause diabetic retinopathy, a diabetes complication caused by damage to the light-sensitive tissue at the back of the eye -- the retina -- resulting in vision loss.

Grassi has been interested in diabetic retinopathy since he began his clinical training as a retina specialist.

"I encountered two individuals with disparate outcomes, a 19-year-old who had well-controlled diabetes for five years and went blind, and a Vietnam veteran, who had poorly controlled diabetes for over 30 years but had no vision problems," Grassi said.

For 10 years, Grassi has been looking at the genetic underpinnings of diabetic retinopathy. After several attempts, he finally landed on a method that resulted in identifying genes that increase the risk of developing retinopathy.

Grassi and his team combined several different methods to identify the gene, known as folliculin, or FLCN, that increases the risk of developing retinopathy. They began by comparing levels of gene activity in individuals with and without retinopathy. A set of genes that was unique to those with retinopathy was identified. Next, they took the genetic markers for this set of genes and found that many were associated with the development of diabetic retinopathy. Finally, they tested whether changes in the levels of some of these genes could cause retinopathy and discovered that increased amounts of FLCN increased the retinopathy risk.

The research team examined glucose-induced changes in gene expression in cell lines from people with type 1 diabetes, both with and without retinopathy. The approach provided new insights into the disease. The identification of single nucleotide polymorphisms, or SNPs, associated with such changes -- eQtls (expression quantitative trait loci) -- was followed by validation in independent cohorts. The FLCN as a mediator of diabetic retinopathy using Mendelian Randomization further solidified the method.

"It has been a challenge to study diabetic retinopathy because it is so heterogeneous. There are so many genetic factors that can contribute," Grassi said.

For this study, cell lines generated from blood samples were used from the Diabetes Control and Complications Trial, or DCCT, a large clinical study of diabetic retinopathy. Because the DCCT study generated cell lines for every individual, it allowed for detailed characterization of retinopathy severity in each individual.

Understanding the genetic factors behind diabetic retinopathy can potentially lead to developing new treatment and prevention strategies for retinopathy. The current standard of care involves laser surgery to preserve the center part of vision, or injections into the eye every four weeks.

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Materials provided by University of Illinois at Chicago. Note: Content may be edited for style and length.

Journal Reference:

1. Andrew D Skol, Segun C Jung, Ana Marija Sokovic, Siquan Chen, Sarah Fazal, Olukayode Sosina, Poulami P Borkar, Amy Lin, Maria Sverdlov, Dingcai Cao, Anand Swaroop, Ionut Bebu, Barbara E Stranger, Michael A Grassi. Integration of genomics and transcriptomics predicts diabetic retinopathy susceptibility genes. eLife, 2020; 9 DOI: 10.7554/eLife.59980