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
RANDOX LABORATORIES

Download Mobile App




Blood Protein Markers Flag Multiple Sclerosis Risk Years Before Diagnosis

By LabMedica International staff writers
Posted on 01 Jun 2026

Multiple sclerosis (MS) can inflict neurologic damage that is difficult or impossible to repair, and many patients are diagnosed only after disease progression. More...

Identifying at-risk individuals earlier could allow intervention before substantial harm occurs. Yet clinicians lack practical tools to pinpoint who will develop MS years in advance. A new study shows that specific blood proteins are altered long before diagnosis, pointing to a potential approach for pre-symptomatic risk assessment.

McGill University’s The Neuro (Montreal Neurological Institute-Hospital) identified a group of plasma proteins whose levels differ in people who later develop MS, in some cases more than a decade before diagnosis. The team first screened more than 2,500 blood proteins using a statistical technique known as Mendelian randomization (MR) to determine links to MS risk. They then examined pre-diagnostic samples in the UK Biobank, a population resource that collected blood from about 500,000 volunteers between 2006 and 2010 and has followed their health since.

Across the MR screen, 39 proteins were associated with MS risk, many within immune-cell signaling pathways. In the UK Biobank analysis, 124 individuals who eventually developed MS had blood drawn on average six years before diagnosis, enabling a true pre-diagnostic assessment. Eight proteins were already altered in those future cases, indicating that measurable proteomic changes precede clinical presentation.

One protein, DKKL1, was linked to a lower risk of developing MS and to a milder disease course among those who did, highlighting a candidate marker for both risk stratification and prognosis. The findings were published in Annals of Neurology (May 22, 2026). According to the investigators, next steps include validating the results in larger cohorts and evaluating whether these markers, alone or combined with other tools, could underpin practical screening strategies.

“In MS, we now know that intervening early can delay or even prevent symptoms altogether. What we lack is a way to identify the right people in time. These blood markers point toward a way to do that, and to act before damage is done,” said Dr. Adil Harroud, neurologist and researcher at The Neuro (Montreal Neurological Institute-Hospital) of McGill University.

Related Links
The Neuro - McGill University


Gold Member
STI Test
Vivalytic MG, MH, UP/UU
Online QC Software
Acusera 24•7
Automated Clinical Chemistry Analyzer
Envoy 500+
HPV Molecular Test
BD Onclarity HPV Assay
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: Researchers use a novel immobilized liposome-bound gel beads method to measure CEC levels and their association with cardiovascular risks (Photo courtesy of Institute of Science Tokyo)

Simple Blood-Based Cholesterol Efflux Assay Identifies High-Risk Coronary Plaque Features

Unstable coronary plaques are difficult to identify before they trigger acute cardiovascular events. Standard high-density lipoprotein (HDL) measurements do not always capture how well HDL particles function... Read more

Pathology

view channel
Image: Overview of the uncertainty-aware lensfree computational pathology platform for automated HER2 assessment. A compact lensfree holographic imaging system captures diffraction patterns from immunohistochemically stained breast tissue samples, which are computationally reconstructed and analyzed using deep neural networks with Bayesian uncertainty quantification. (Photo courtesy of Ozcan Lab, UCLA)

Uncertainty-Aware AI Platform Supports Automated HER2 Assessment in Breast Cancer

Accurate assessment of human epidermal growth factor receptor 2 (HER2) is critical for breast cancer diagnosis and treatment selection, yet scoring variability and infrastructure requirements can complicate... Read more
Copyright © 2000-2026 Globetech Media. All rights reserved.