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
INTEGRA BIOSCIENCES AG

Download Mobile App




Newly Developed Automated Immunoassay Analyzed

By LabMedica International staff writers
Posted on 29 Nov 2017
Dipeptidyl peptidase-4 (DPP-4) may be a suitable biomarker to identify people with severe asthma who have greater activation of the interleukin-13 (IL-13) pathway and may therefore benefit from IL-13-targeted treatments.

Increased IL-13 messenger RNA (mRNA) expression and protein concentration in bronchial biopsies, sputum and bronchoalveolar lavage fluid from patients with asthma, compared with healthy individuals, supports a role for IL-13 in the pathophysiology of some types of asthma.

A team of scientists collaborating with those at the Abbott Laboratories (Abbott Park, IL, USA) obtained serum samples from healthy volunteers and from subjects with asthma and type 1 diabetes. More...
They used in DPP-4 concentration assessments, samples obtained from a Phase IIb study of tralokinumab in subjects with severe uncontrolled asthma receiving concomitant high-dose fluticasone and salmeterol. Additional samples, collected for a pre-analytical in-house study to confirm specimen-handling procedures, were provided by consenting volunteers with self-reported asthma.

The team assessed assay performance, utilizing analyses of precision, linearity and sensitivity; interference from common endogenous assay interferents, and from asthma and anti-diabetic medications, were also assessed. The new automated IUO DPP-4 immunoassay was performed on Abbott’s ARCHITECT i System. The immunoassay measurement of DPP-4 has a range from 109 ng/mL to 580 ng/mL. The assay is fully automated with a throughput of 200 tests per hour.

The investigators reported that the total precision of DPP-4 concentration measurement, determined using percentage coefficient of variation, was ≤5% over 20 days. Dilution analysis yielded linear results from 30 to 1,305 ng/mL; the limit of quantitation was 19.2 ng/mL. No notable endogenous or drug interferences were observed at the expected therapeutic concentration. Median DPP-4 concentrations in healthy volunteers and subjects with asthma or Type 1 diabetes were assessed, with concentrations remaining similar in subjects with diabetes and asthma across different demographics.

The authors concluded that their analyses indicate that the ARCHITECT DPP-4 immunoassay is a reliable and robust method for measuring serum DPP-4 concentration. The assay is currently being applied to assess the clinical utility of DPP-4 as a predictive biomarker in Phase III studies of tralokinumab in subjects with uncontrolled asthma. The study was published online on October 20, 2017, in the journal Practical Laboratory Medicine.


Gold Member
Serological Pipet Controller
PIPETBOY GENIUS
Verification Panels for Assay Development & QC
Seroconversion Panels
New
Unstirred Waterbath
HumAqua 5
New
Ultrasonic Cleaner
UC 300 Series
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

Clinical Chemistry

view channel
Image: The GlycoLocate platform uses multi-omics and advanced computational biology algorithms to diagnose early-stage cancers (Photo courtesy of AOA Dx)

AI-Powered Blood Test Accurately Detects Ovarian Cancer

Ovarian cancer ranks as the fifth leading cause of cancer-related deaths in women, largely due to late-stage diagnoses. Although over 90% of women exhibit symptoms in Stage I, only 20% are diagnosed in... 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
Copyright © 2000-2025 Globetech Media. All rights reserved.