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




Blood Test Predicts Diabetes Mellitus Type 1 Risk

By LabMedica International staff writers
Posted on 04 Jul 2013
Type 1 diabetes usually has a preclinical phase identified by circulating islet autoantibodies, but the rate of progression to diabetes after seroconversion to islet autoantibodies is equivocal.

Diabetes mellitus type 1 can occur at any age and it starts with the immune system destroying insulin-producing beta cells, which eventually stops the production of insulin and without insulin the body cannot control blood sugar or glucose. More...


Scientists based at the Helmholtz Zentrum (Munich, Germany) gathered data from three different studies, which included a total of 13,377 children. The study involved analyzing blood samples taken from children to identify any preclinical clues that indicate any increased risk of type 1 diabetes. Two diabetes-related autoantibodies were found to be the strongest indicators of diabetes risk.

The children’s genetic risk for type 1 diabetes was estimated by measuring the development of insulin autoantibodies, glutamic acid decarboxylase 65 (GAD65) autoantibodies, and insulinoma antigen 2 (IA2) autoantibodies. At the 10-year follow-up, an overwhelming 70% of the children with multiple islet autoantibodies developed type 1 diabetes, compared to 15% among those with just one autoantibody.

At follow-up, 8% of the children had one or more of the autoantibodies, indicators for the destruction of insulin, 585 children had at least two autoantibodies and 474 were found to have just one. Nearly half of the children with two or more autoantibodies went on to develop diabetes within five years, and four out of every five of them became diabetic within fifteen years. Only 14.5% of children with just one autoantibody developed type 1 diabetes after 10 years.

The authors concluded that the detection of multiple islet autoantibodies in children who are genetically at risk marks a preclinical stage of type 1 diabetes. Thus, the development of multiple islet autoantibodies in children predicts type 1 diabetes. Future prevention studies should focus on this high-risk population.

"Jay S. Skyler, MD, and Jay M. Sosenko, MD, both from the Leonard M. Miller School of Medicine (Miami, FL, USA) wrote in an accompanying editorial: "If you have two or more autoantibodies, it's nearly inevitable that you will develop the disease. Most people, even physicians, don't appreciate this risk." The study was published on June 19, 2013, in the Journal of the American Medical Association.

Related Links:
Helmholtz Zentrum
Leonard M. Miller School of Medicine



Platinum Member
Automated Coagulation Analyzer
Hemolumi H6
Gold Member
Clinical Chemistry Assay
Sorbitol Dehydrogenase (SDH)
New
MR-proADM Test
B•R•A•H•M•S MR-proADM KRYPTOR test
Thyroid Test
Anti-Thyroid EIA Test
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

Molecular Diagnostics

view channel
Image: The Avantect Pancreatic Cancer Test combines epigenomic, genomic, and glycan biomarkers with machine learning to detect pancreatic cancer-associated signals in blood (Photo courtesy of ClearNote Health)

Multiomic Blood Test Supports Noninvasive Monitoring and Subtyping in Pancreatic Cancer

Pancreatic ductal adenocarcinoma remains difficult to detect early and monitor during treatment, particularly in patients with homologous recombination defects. Clinicians also have limited noninvasive... Read more

Immunology

view channel
Image: Although many people harbor latent Epstein-Barr virus (EBV), growing evidence has linked the virus to MS pathobiology (Image Credit: Adobe Stock)

Blood EBV Activity Biomarkers May Predict Multiple Sclerosis Relapse Months Ahead

Predicting relapse in multiple sclerosis (MS) remains difficult, limiting opportunities for timely intervention and monitoring. Although many people harbor latent Epstein-Barr virus (EBV), growing evidence... Read more

Microbiology

view channel
Image: Graphical Abstract (Jose A. Céspedes, Maria I. Montañez, Isabel M. Jiménez, et al. Magnetic nanoparticles enable clinically relevant in vitro diagnosis of beta-lactam allergy. Materials Today Bio (2026). DOI: 10.1016/j.mtbio.2026.103356)

Magnetic Nanoparticles Enable More Sensitive Beta-Lactam Allergy Testing

Penicillin allergy labels are common in clinical practice, yet many are incorrect and can lead to suboptimal antibiotic choices. Although 8%–25% of people report a penicillin allergy, only 1%–10% are truly... Read more

Pathology

view channel
Image: A new study demonstrates that vascular features in colorectal tumors could serve as prognostic biomarkers of disease outcome. (Image Credit: iStock)

Tumor Blood Vessel Features May Help Predict Colorectal Cancer Survival

Colorectal cancer outcomes vary widely, and tumor biology remains a key determinant of prognosis. Because neoplasms depend on a vascular supply, differences in intratumoral vessels may influence survival.... Read more

Technology

view channel
Image: ADLM recommends that emerging AI tools follow the same professional oversight, quality, validation, and monitoring standards as traditional clinical testing within CLIA’s existing framework (Image Credit: Adobe Stock)

ADLM Calls for CLIA Updates to Support Safe AI Use in Laboratory Medicine

Clinical laboratories increasingly use artificial intelligence to verify, interpret, and report results, but safeguards under the Clinical Laboratory Improvement Amendments (CLIA) were designed in 1992.... Read more

Industry

view channel
Image Credit: Adobe Stock

Mayo Clinic and Thermo Fisher Launch Multi-Omics Venture to Identify Early Disease Signals

Many diseases begin developing years before symptoms emerge, making early detection difficult for healthcare systems and clinical laboratories. Linking molecular changes with longitudinal health data could... Read more
Copyright © 2000-2026 Globetech Media. All rights reserved.