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.

LabMedica

Download Mobile App
Recent News Expo Clinical Chem. Molecular Diagnostics Hematology Immunology Microbiology Pathology Technology Industry Focus

Blood Protein Signature Reported for Diabetic Kidney Disease

By LabMedica International staff writers
Posted on 09 May 2019
Print article
Image: Nodular glomerulosclerosis in the kidney of a patient with diabetic nephropathy; the acellular light purple areas within the capillary tufts are the destructive mesangial matrix deposits (Photo courtesy of the CDC).
Image: Nodular glomerulosclerosis in the kidney of a patient with diabetic nephropathy; the acellular light purple areas within the capillary tufts are the destructive mesangial matrix deposits (Photo courtesy of the CDC).
Diabetic nephropathy or diabetic kidney disease (DKD), is a result of vascular abnormalities that accompany diabetes and increases mortality risk. Furthermore, diabetes mellitus is a main risk factor for end-stage renal disease, the most advanced stage of kidney disease.

Chronic inflammation is postulated to be involved in the development of end-stage renal disease in diabetes, but which specific circulating inflammatory proteins contribute to this risk remain unknown. End-stage renal disease (ESRD) in diabetes is a life threatening complication resulting in a poor prognosis for patients as well as high medical costs.

An international team of scientists led by the Harvard Medical School (Boston, MA, USA) examined 194 circulating inflammatory proteins in subjects from three independent cohorts with type 1 and type 2 diabetes. In each cohort, they identified an extremely robust kidney risk inflammatory signature (KRIS), consisting of 17 proteins enriched in tumor necrosis factor-receptor superfamily members, that was associated with a 10-year risk of end-stage renal disease. All these proteins had a systemic, non-kidney source.

The type 1 diabetes group included 108 individuals who developed end-stage renal disease during the study's follow up time, while 35 of the individuals with type 2 diabetes had kidney disease that advanced to that point. Half a dozen of the proteins came from tumor necrosis factor receptor super-families, while the remaining proteins represented receptor or secreted proteins. The team used a custom SOMAscan array (SomaLogic, Boulder, CO, USA), and assessed 194 circulating proteins, focusing on inflammatory proteins and proteins previously implicated in diabetic kidney disease, in blood samples from 219 individuals with type 1 diabetes and a validation group of 144 type 2 diabetes patients, all with some level of kidney impairment.

The authors concluded that these proteins point to new therapeutic targets and new prognostic tests to identify subjects at risk of end-stage renal disease, as well as biomarkers to measure responses to treatment of diabetic kidney disease. Andrzej S. Krolewski, MD, PhD, the senior author of the study, said, “These proteins point to new therapeutic targets and new prognostic tests to identify subjects at risk of end-stage renal disease, as well as biomarkers to measure responses to treatment of diabetic kidney disease.” The study was published on April 22, 2019, in the journal Nature Medicine.

Related Links:
Harvard Medical School
SomaLogic

Gold Member
Chagas Disease Test
CHAGAS Cassette
Verification Panels for Assay Development & QC
Seroconversion Panels
New
Total Thyroxine Assay
Total Thyroxine CLIA Kit
New
Ultra-Low Temperature Freezer
iUF118-GX

Print article

Channels

Molecular Diagnostics

view channel
Image: The breakthrough could result in a higher success rate using a simple oral swab test before IVF (Photo courtesy of Shutterstock)

POC Oral Swab Test to Increase Chances of Pregnancy in IVF

Approximately 15% of couples of reproductive age experience involuntary childlessness. A significant reason for this is the growing trend of delaying family planning, a global shift that is expected to... Read more

Immunology

view channel
Image: The cancer stem cell test can accurately choose more effective treatments (Photo courtesy of University of Cincinnati)

Stem Cell Test Predicts Treatment Outcome for Patients with Platinum-Resistant Ovarian Cancer

Epithelial ovarian cancer frequently responds to chemotherapy initially, but eventually, the tumor develops resistance to the therapy, leading to regrowth. This resistance is partially due to the activation... Read more

Technology

view channel
Image: The new algorithms can help predict which patients have undiagnosed cancer (Photo courtesy of Adobe Stock)

Advanced Predictive Algorithms Identify Patients Having Undiagnosed Cancer

Two newly developed advanced predictive algorithms leverage a person’s health conditions and basic blood test results to accurately predict the likelihood of having an undiagnosed cancer, including ch... Read more