We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress hp
Sign In
Advertise with Us
Vicotex

Download Mobile App




World’s First Test Detects Diabetics at Risk of Kidney Disease before Symptoms Appear

By LabMedica International staff writers
Posted on 19 Jan 2023

Millions of people with diabetes live with chronic kidney disease and have a poorer chance of survival. More...

The current standard assays used in clinics depend on assessing kidney function and the extent of kidney damage caused by diabetes. However, there are usually no symptoms during the early stages of the disease. There have been huge advances in genetic testing, although risk genes for diabetic kidney disease (DKD) have yet to be identified. Now, an international team of researchers have identified the genetic markers for people with diabetes who are at a risk of developing kidney disease. This paves the way for the development of a test that could identify adults with Type 1 diabetes who are at a risk of kidney disease before they show any symptoms, enabling the introduction of early-stage interventions by doctors.

In the world’s first international study led by Monash University (Melbourne, Australia), the researchers tested the genes in 1017 Scandinavian and Asian diabetes cohorts and examined a process called methylation, in which a small molecule called a methyl group gets added to DNA. The findings from the largest-ever international study on Type 1 diabetes revealed that “important clues that reduced DNA methylation is closely associated with the increased risk of diabetes relate kidney disease,” said Professor Sam El-Osta, from Central Clinical School, Human Epigenetics team at the Department of Diabetes at Monash University. “These discoveries will influence how we screen patients with diabetes and improve risk stratification, disease prediction and diagnosis.”

“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,” added Professor El-Osta. “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.”

“As far as technological advancements in methods are concerned, epigenetic testing is going to be the new standard for early detection and DKD care,” explained Professor 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.”


Platinum Member
Automated Coagulation Analyzer
Hemolumi H6
Gold Member
H-FABP Assay
Heart-Type Fatty Acid-Binding Protein Assay
Automated Clinical Chemistry Analyzer
Envoy 500+
Prefilled Tubes
Prefilled 5.0ml Tubes
Read the full article by registering today, it's FREE! It's Free!
Register now for FREE to LabMedica.com and get access to news and events that shape the world of Clinical Laboratory Medicine.
  • Free digital version edition of LabMedica International sent by email on regular basis
  • Free print version of LabMedica International magazine (available only outside USA and Canada).
  • Free and unlimited access to back issues of LabMedica International in digital format
  • Free LabMedica International Newsletter sent every week containing the latest news
  • Free breaking news sent via email
  • Free access to Events Calendar
  • Free access to LinkXpress new product services
  • REGISTRATION IS FREE AND EASY!
Click here to Register








Channels

Microbiology

view channel
Image: The “broth” used to monitor red blood cell depletion in whole blood spiked with one colony-forming-unit of E. coli bacteria, each incubated at different orbital shaking speeds—left to right: 0 RPM, 65 RPM, 120 RPM and 200 RPM—after four hours of incubation. This culturing raises a bacteria-rich, plasma-like layer of bacteria to the top of the vials, while clusters of stuck blood cells known as a Rouleaux formation sink to the bottom. (Image Credit: Pak Kin Wong)

New Diagnostic Workflow Identifies Bloodstream Pathogens and Antibiotic Response in Hours

Sepsis is a life-threatening complication of infection that affects more than 1.5 million patients annually in the United States and contributes to roughly one in three in-hospital deaths.... Read more

Pathology

view channel
Image: Researchers evaluated AI models that quantify tumor-infiltrating lymphocytes (TIL) on routine breast tissue slides, where higher TIL levels reflect stronger antitumor response and improved breast cancer outcomes (Image Credit: Shutterstock)

AI Matches Pathologists in Predicting Breast Cancer Prognosis from Immune Cells

Breast cancer is the most common cancer in Australian women, with more than 20,000 cases each year. Prognosis can be informed by counting tumor-infiltrating lymphocytes (TILs) on routine pathology slides,... Read more

Industry

view channel
Image: RaDaR ST uses a tumor-informed approach that identifies up to 48 patient-specific variants through whole-exome sequencing and tracks those variants in plasma to detect circulating tumor DNA (ctDNA) at very low variant allele fractions (VAFs) (Photo courtesy of Neogenomics)

Tumor-Informed MRD Assay Gains Medicare Coverage for Immunotherapy Monitoring

NeoGenomics’ RaDaR ST molecular residual disease (MRD) assay has received expanded coverage from the Centers for Medicare & Medicaid Services’ Molecular Diagnostic Services Program (MolDX) for monitoring... Read more
Copyright © 2000-2026 Globetech Media. All rights reserved.