We’ve updated our Privacy Policy to make it clearer how we use your personal data.
We use cookies to provide you with a better experience. You can read our Cookie Policy here.
Complete the form below and we will email you a PDF version of “Biomarkers of Diabetic Kidney Disease Identified”
In a world first international study led by Monash University researchers in Australia, the genetic markers for people with diabetes at risk of developing kidney disease have been identified.

The study opens the way for the development of a test that could predict those adults with Type 1 diabetes at risk of kidney disease before symptoms appear, allowing for doctors to introduce early-stage interventions.

In Australia, almost 330,000 people with diabetes are living with chronic kidney disease and have a poorer chance of survival – and it costs the health budget $1.7 billion a year.

Want more breaking news?

Subscribe to Technology Networks’ daily newsletter, delivering breaking science news straight to your inbox every day.

Subscribe for FREE


Subscribe to Technology Networks’ daily newsletter, delivering breaking science news straight to your inbox every day.
The findings are from the largest-ever international study on type 1 diabetes, led by Professor Sam El-Osta, from Central Clinical School, Human Epigenetics team at the Department of Diabetes at Monash University and published in the Journal of Clinical Investigation.

The study tested the genes in 1017 Scandinavian and Asian diabetes cohorts, looking at the process called methylation, which is when a small molecule called a methyl group gets added to DNA. According to Professor El-Osta, the findings revealed “important clues that reduced DNA methylation is closely associated with the increased risk of diabetes relate kidney disease,” he said. “These discoveries will influence how we screen patients with diabetes and improve risk stratification, disease prediction and diagnosis.”

Currently standard assays used in the clinic rely on assessing kidney function and the level of damage to the kidney caused by diabetes – however the early stages of the disease are typically without symptoms. “We have developed a reliable method that improves predictive risk and diagnostic accuracy,” said the study’s first author Dr Ishant Khurana, also from Monash University.

According to Professor El-Osta, despite the tremendous advances in genetic testing, no risk genes for diabetic kidney disease (DKD) have been identified. “The team at Monash University’s Central Clinical School using innovative sequencing techniques developed gene methylation risk scores that are tightly associated with early detection and the development of diabetic kidney disease,” he said.

“Scientists searching for blood-based biomarkers in diabetes cohorts originating from Finland, Denmark, Hong Kong and Thailand, found surprising commonality in gene methylation risk scores. They note that the innovative sequencing technologies developed using the internal collaboration revealed missing methylation data that was ultimately used to develop a predictive test for diabetic kidney disease.”

The researchers hope that routine gene methylation testing for diabetic complications such as kidney disease will soon be a standard part of the treatment plan, as it is for more common cancers.

“As far as technological advancements in methods are concerned, epigenetic testing is going to be the new standard for early detection and DKD care,“ said Dr El-Osta. “Renal biopsies are difficult to procure and the novel blood-based test means the test can be readily available and used in remote areas with the added advantage of being more stable than methods measuring other biological indices.”

This study was conducted by an international consortium comprising scientists at Monash University and collaborative partners in Helsinki, Copenhagen, Hong Kong and Bangkok.

Reference: Khurana I, Kaipananickal H, Maxwell S, et al. Reduced methylation corresponds with diabetic nephropathy risk in type 1 diabetes. J Clin Investig. Published online January 12, 2023. doi: 10.1172/JCI160959

This article has been republished from the following materials. Note: material may have been edited for length and content. For further information, please contact the cited source.

source

By admin

Leave a Reply

Your email address will not be published. Required fields are marked *