shot-button
Subscription Subscription
Home > Lifestyle News > Health And Fitness News > Article > Blood samples can help predict kidney diseases in type 2 diabetes patients Study

Blood samples can help predict kidney diseases in type 2 diabetes patients: Study

Updated on: 16 May,2023 12:40 PM IST  |  Washington
ANI |

There has been significant progress in developing treatments for kidney disease in people with diabetes. However, it can be difficult to assess an individual patient's risk for developing kidney disease based on clinical factors alone, so determining who is at greatest risk of developing diabetic kidney disease is an important clinical need

Blood samples can help predict kidney diseases in type 2 diabetes patients: Study

Our computational model can use methylation markers from a blood sample to predict both current kidney function and how the kidneys will function years in the future, which means it could be easily implemented alongside current methods for evaluating a patient's risk for kidney disease. Photo Courtesy: iStock

In a recent medical development, researchers have developed a conceptual approach to predict whether a person with type 2 diabetes will develop kidney disease. The study was published in the journal, 'Nature Communications'. It can help doctors prevent or better manage kidney disease in people with type 2 diabetes.


"This study provides a glimpse into the powerful future of predictive diagnostics," says co-senior author Kevin Yip, Ph.D., a professor and director of Bioinformatics at Sanford Burnham Prebys. "Our team has demonstrated that by combining clinical data with cutting-edge technology, it's possible to develop computational models to help clinicians optimize the treatment of type 2 diabetes to prevent kidney disease." Diabetes is the leading cause of kidney failure worldwide. In the United States, 44% of cases of end-stage kidney disease and dialysis are due to diabetes. In Asia, this number is 50%.


"There has been significant progress developing treatments for kidney disease in people with diabetes," says co-senior author Ronald Ma, MB BChir, FRCP, a professor in the Department of Medicine and Therapeutics at the Chinese University of Hong Kong. "However, it can be difficult to assess an individual patient's risk for developing kidney disease based on clinical factors alone, so determining who is at greatest risk of developing diabetic kidney disease is an important clinical need."


The new algorithm depends on measurements of a process called DNA methylation, which occurs when subtle changes accumulate in our DNA. DNA methylation can encode important information about which genes are being turned on and off, and it can be easily measured through blood tests.

"Our computational model can use methylation markers from a blood sample to predict both current kidney function and how the kidneys will function years in the future, which means it could be easily implemented alongside current methods for evaluating a patient's risk for kidney disease," says Yip.

The researchers developed their model using detailed data from more than 1,200 patients with type 2 diabetes in the Hong Kong Diabetes Register. They also tested their model on a separate group of 326 Native Americans with type 2 diabetes, which helped ensure that their approach could predict kidney disease in different populations.

"This study highlights the unique strength of the Hong Kong Diabetes Register and its huge potential to fuel further discoveries to improve our understanding of diabetes and its complications," says study co-author Juliana Chan, M.D., FRCP, a professor in the Department of Medicine and Therapeutics at the Chinese University of Hong Kong, who established the Hong Kong Diabetes Register more than two decades ago.

"The Hong Kong Diabetes Register is a scientific treasure," adds first author Kelly Yichen Li, Ph.D., a postdoctoral scientist at Sanford Burnham Prebys. "They follow up with patients for many years, which gives us a full picture of how human health can change over decades in people with diabetes."

The researchers are currently working to further refine their model. They are also expanding the application of their approach to look at other questions about human health and disease--such as determining why some people with cancer don't respond well to certain treatments. "The science is still evolving, but we are working on incorporating additional information into our model to further empower precision medicine in diabetes," adds Ma.

Also Read: Why more people are learning poi spinning and how it is therapeutic for them

This story has been sourced from a third party syndicated feed, agencies. Mid-day accepts no responsibility or liability for its dependability, trustworthiness, reliability and data of the text. Mid-day management/mid-day.com reserves the sole right to alter, delete or remove (without notice) the content in its absolute discretion for any reason whatsoever

"Exciting news! Mid-day is now on WhatsApp Channels Subscribe today by clicking the link and stay updated with the latest news!" Click here!

Register for FREE
to continue reading !

This is not a paywall.
However, your registration helps us understand your preferences better and enables us to provide insightful and credible journalism for all our readers.

Mid-Day Web Stories

Mid-Day Web Stories

This website uses cookie or similar technologies, to enhance your browsing experience and provide personalised recommendations. By continuing to use our website, you agree to our Privacy Policy and Cookie Policy. OK