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

Download Mobile App




Metabolic Biomarker Identified for Diabetes Risk

By LabMedica International staff writers
Posted on 07 Oct 2013
Type 2 diabetes (T2D) is the most common form of diabetes and is associated with many complications, however, many individuals are unaware that they are at risk and do not change their lifestyle in time to avoid disease. More...


The metabolite 2-aminoadipic acid (2-AAA) has been identified as a biomarker for T2D diabetes risk and individuals with increased levels of 2-AAA had a much greater risk of developing diabetes than individuals with lower 2-AAA levels.

An international team of scientists collaborating with those at Massachusetts General Hospital (Boston, MA, USA) took plasma samples from two cohorts, and metabolite profiling was performed on samples from 1,937 attendees who were free of diabetes at baseline of whom 376 propensity-matched cases and controls and 1,561 randomly selected individuals.

The team employed methodology for profiling polar plasma metabolites using hydrophilic interaction (HILIC) and liquid chromatography-mass spectrometry (LC-MS). The data was acquired using ultra-performance liquid chromatography technology on an ACQUITY UPLC (Waters; Milford, MA, USA) coupled to a 5500 QTRAP triple quadrupole mass spectrometer (AB SCIEX; Redwood City, CA, USA).

Individuals with 2-AAA concentrations in the top quartile had greater than a four-fold risk of developing diabetes. Levels of 2-AAA were not well correlated with other metabolite biomarkers of diabetes, such as branched chain amino acids and aromatic amino acids, suggesting they reflect a distinct pathophysiological pathway.

The authors concluded that the application of a new metabolite profiling technique highlighting intermediary metabolites identified 2-AAA as a novel predictor of the development of diabetes. The relative risk associated with elevated 2-AAA concentrations was not attenuated by adjustment for standard biochemical measures of insulin resistance.

This investigation provides motivation to test whether plasma measurements of this molecule might help identify candidates for interventions to reduce diabetes risk and to elucidate the precise molecular pathways by which 2-AAA modulates insulin secretion, glucose homeostasis, and susceptibility to diabetes. The study was published on September 16, 2013, in the Journal of Clinical Investigation.

Related Links:

Massachusetts General Hospital
Waters
AB SCIEX



Platinum Member
Automated Coagulation Analyzer
Hemolumi H6
Gold Member
Quantitative POC Immunoassay Analyzer
EASY READER+
New
Silver Member
Vitamin D Assay
EZ Vitamin D Assay
Automatic CLIA Analyzer
Shine i6000
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: GenomeNext uses a pangenome reference to better represent human genetic diversity and improve variant detection, while GenomeReveal integrates RNA analysis to help interpret certain DNA findings (Photo courtesy of Ambry Genetics)

Whole Genome Sequencing Solution Targets Unsolved Rare Disease Cases

Rare diseases often present persistent diagnostic challenges for patients and families. Many patients undergo years of testing without receiving a diagnosis, and even comprehensive genetic testing can... Read more

Technology

view channel
Image: The laser-based photoacoustic spectroscopy setup consists of a Mid-IR laser equipped with three QCL modules covering wavelengths from 5.6 μm to 12.9 μm, two silver coated mirrors (SCM), a dichroic mirror (DM) with a transmittance of 90%, a thermal power sensor head (PM) to monitor the output laser power, a mechanical chopper (MC) for frequency modulation and a CEPAS-detector with a self-designed swab holder (SH). (Credit: Graunke, T., Scholz, T., Pieniak, M. et al. Scientific Reports (2026). https://doi.org/10.1038/s41598-026-68298-9)

Laser-Based Swab Analysis Shows Promise for Detecting Disease-Linked Odor Patterns

Disease-related changes in volatile organic compounds can alter body odor, producing measurable patterns in exhaled breath and bodily fluids. Current analytical methods can be complex, time-consuming,... Read more

Industry

view channel
Image: The acquisition of Proscia advances Agilent’s efforts to expand its pathology portfolio and strengthens its competitive position in a rapidly growing market.

Agilent Acquisition of Proscia to Advance AI-Enabled Digital Pathology Workflows

Agilent Technologies Inc. has entered into a definitive agreement to acquire Proscia, a provider of digital pathology software for clinical and life-sciences customers. The all-cash transaction is valued... Read more
Copyright © 2000-2026 Globetech Media. All rights reserved.