• HOME
  • NEWS
  • EXPLORE
    • CAREER
      • Companies
      • Jobs
    • EVENTS
    • iGEM
      • News
      • Team
    • PHOTOS
    • VIDEO
    • WIKI
  • BLOG
  • COMMUNITY
    • FACEBOOK
    • INSTAGRAM
    • TWITTER
Thursday, January 15, 2026
BIOENGINEER.ORG
No Result
View All Result
  • Login
  • HOME
  • NEWS
  • EXPLORE
    • CAREER
      • Companies
      • Jobs
        • Lecturer
        • PhD Studentship
        • Postdoc
        • Research Assistant
    • EVENTS
    • iGEM
      • News
      • Team
    • PHOTOS
    • VIDEO
    • WIKI
  • BLOG
  • COMMUNITY
    • FACEBOOK
    • INSTAGRAM
    • TWITTER
  • HOME
  • NEWS
  • EXPLORE
    • CAREER
      • Companies
      • Jobs
        • Lecturer
        • PhD Studentship
        • Postdoc
        • Research Assistant
    • EVENTS
    • iGEM
      • News
      • Team
    • PHOTOS
    • VIDEO
    • WIKI
  • BLOG
  • COMMUNITY
    • FACEBOOK
    • INSTAGRAM
    • TWITTER
No Result
View All Result
Bioengineer.org
No Result
View All Result
Home Headlines

New test identifies patients with diabetes who are at high risk of kidney failure

Bioengineer.org by Bioengineer.org
January 24, 2018
in Headlines, Health, Science News
Reading Time: 3 mins read
0
Share on FacebookShare on TwitterShare on LinkedinShare on RedditShare on Telegram
IMAGE

Credit: John Soares

BOSTON – (April 18, 2017) – Researchers from Joslin Diabetes Center have developed a prognostic tool that accurately predicts the risk of end stage renal disease (ESRD) in patients with both type 1 and type 2 diabetes.

This new test could help doctors assess disease risk in their patients and guide researchers to develop more effective therapies to prevent or treat kidney failure. The findings are published online (April 7, 2017) on the Kidney International website ahead of print publication.

In the past, doctors have relied mostly on two biomarkers — urinary albumin to creatinine ratio (ACR) and estimated glomerular filtration rate — to identify those at higher risk of kidney failure and also to select patients for clinical trials. But researchers say that those criteria miss a large proportion of patients who are at high risk of the disease and fail to predict accurately time of onset of ESRD.

"Overall efficiency and cost effectiveness of clinical trials depends on the diagnostic tools used to enroll study patients," says senior study author Andrzej S. Krolewski, M.D., Ph.D., Head, Section on Genetics & Epidemiology at Joslin Diabetes Center. "If you recruit people who are not at risk of progressing to ESRD during the clinical trial period, statistical power declines and you can't prove anything."

In 2012, Dr. Krolewski and his team made a very important discovery when they found a link between tumor necrosis factor receptor 1 (TNFR1) and declining renal function in type 1 and type 2 diabetes. Building on this breakthrough research, the researchers sought to translate that discovery into a practical prognostic test that doctors could use to assess care and enroll patients in clinical trials.

For this study, the researchers used data from a population of patients with both diabetes and chronic kidney disease (stage 3 and 4) enrolled in follow up studies conducted by Dr. Krolewski and his team at the Joslin Diabetes Center and followed for four to 15 years.

Using an analytic tool called the classification and regression trees (CARTs), Dr. Krolewski and colleagues found that specific values of two biomarkers — circulating level of TNFR1 and ACR combined — indicated high risk of ESRD. The team then validated these findings in a cohort of patients with type 2 diabetes. They found that the prognostic test for type 2 diabetes was similar to type 1. Overall the composite prognostic criterion had a sensitivity value (detecting those at risk) of 72 percent and positive prognostic value (detecting those who developed ESRD in three years) of 81 percent.

"Remarkably, when we used the TNF receptor to analyze risk of ESRD, the risk was almost identical for both type 1 and type 2 diabetes. This implies that the etiologies are similar," says Dr. Krolewski. "This is a very important observation because in the medical community, the impression is that the progression to ESRD in type 1 is somehow different from type 2. As a result, many clinical trials do not include patients with type 1."

In addition, the team applied this simple enrollment criterion to a hypothetical 3-year clinical trial to evaluate the impact on reducing the sample size while increasing the statistical power.

"Currently, about 80 percent of patients in these clinical trials provide no useful information," says Dr. Krolewski. "If our criterion is used in the recruitment of patients, you will not need two or three thousand patients for a clinical trial, you will only need 400 patients."

This discovery also opens the door to using the TNF receptor as a therapeutic target. Future studies might ask the question, Is there something in the TNF receptor that is damaging the kidneys?

###

Other study authors include Masayuki Yamanouchi, Jan Skupien, Monika A. Niewczas, Adam Smiles, Alessandro Doria, Robert C. Stanton, Andrzej Galecki, Kevin L. Duffin, Nick Pullen, Matthew D. Breyer, Joseph V. Bonventre, and James H. Warram.

About Joslin Diabetes Center

Joslin Diabetes Center is world-renowned for its deep expertise in diabetes treatment and research. Joslin is dedicated to finding a cure for diabetes and ensuring that people with diabetes live long, healthy lives. We develop and disseminate innovative patient therapies and scientific discoveries throughout the world. Joslin is an independent, non-profit institution affiliated with Harvard Medical School, and one of only 11 NIH-designated Diabetes Research Centers in the U.S.

For more information, visit http://www.joslin.org or follow @joslindiabetes

Media Contact

Jeffrey Bright
[email protected]
@joslindiabetes

http://www.joslin.org

Original Source

http://www.joslin.org/news/new-test-identifies-patients-with-diabetes-at-high-risk-of-kidney-failure.html

Share12Tweet8Share2ShareShareShare2

Related Posts

iTP-seq: Scalable Method for Mapping Bacterial Translation

January 15, 2026
blank

AI-Driven Discovery of Mammalian Metabolites

January 15, 2026

CFAP20 Rescues Stalled RNAPII During Replication

January 15, 2026

Nanopriming Enhances Wheat’s Resilience to Abiotic Stress

January 15, 2026
Please login to join discussion

POPULAR NEWS

  • Enhancing Spiritual Care Education in Nursing Programs

    155 shares
    Share 62 Tweet 39
  • PTSD, Depression, Anxiety in Childhood Cancer Survivors, Parents

    147 shares
    Share 59 Tweet 37
  • Robotic Ureteral Reconstruction: A Novel Approach

    75 shares
    Share 30 Tweet 19
  • Study Reveals Lipid Accumulation in ME/CFS Cells

    53 shares
    Share 21 Tweet 13

About

We bring you the latest biotechnology news from best research centers and universities around the world. Check our website.

Follow us

Recent News

iTP-seq: Scalable Method for Mapping Bacterial Translation

AI-Driven Discovery of Mammalian Metabolites

CFAP20 Rescues Stalled RNAPII During Replication

Subscribe to Blog via Email

Enter your email address to subscribe to this blog and receive notifications of new posts by email.

Join 71 other subscribers
  • Contact Us

Bioengineer.org © Copyright 2023 All Rights Reserved.

Welcome Back!

Login to your account below

Forgotten Password?

Retrieve your password

Please enter your username or email address to reset your password.

Log In
No Result
View All Result
  • Homepages
    • Home Page 1
    • Home Page 2
  • News
  • National
  • Business
  • Health
  • Lifestyle
  • Science

Bioengineer.org © Copyright 2023 All Rights Reserved.