Biomarkers for the Diagnosis of Axial Spondyloarthritis

Axial spondyloarthritis (axSpA) is a chronic inflammatory rheumatic disease affecting mainly the spine and sacroiliac joints, but also peripheral joints and extra-articular tissues such as the eyes, skin and intestines. Early diagnosis remains challenging, particularly in patients with non-radiographic disease, where clear imaging abnormalities may be absent.

Current diagnostic approaches rely on a combination of clinical symptoms, imaging techniques such as MRI, and laboratory markers including HLA-B27 and C-reactive protein (CRP). However, these approaches often lack sufficient sensitivity and specificity in early disease stages, making it difficult to distinguish axSpA from nonspecific chronic low back pain. As a result, diagnosis is frequently delayed by several years, postponing early treatment initiation and optimal disease management. There is therefore a strong unmet need for objective biomarkers that improve early axSpA diagnosis and clinical decision-making.

Biomarkers For The Diagnosis Of Axial Spondyloarthritis Biomarkers For The Diagnosis Of Axial Spondyloarthritis

Technology Overview

Researchers at Hasselt University and KU Leuven identified and validated a panel of four novel antibody biomarkers associated with early axial spondyloarthritis. The panel consists of two Immunoglobulin G (IgG) and two Immunoglobulin A (IgA) antibody markers directed against novel UH-axSpA antigens.
The biomarkers were evaluated in two independent early axSpA cohorts and compared with those in controls with chronic low back pain. Antibody reactivity against at least one of the four biomarkers was significantly higher in early axSpA patients (21.1%) compared to controls (3%). The biomarker panel demonstrated a positive likelihood ratio (LR+) of 7.0, outperforming the currently used laboratory marker CRP.

Benefits

  • Addresses a significant unmet need in early and accurate axSpA diagnosis
  • Blood-based, minimally invasive serum or plasma test
  • Improves diagnostic confidence when combined with existing diagnostic parameters
  • Potential to facilitate earlier treatment initiation and improved patient management

Relevant Publications

  • Ruytinx et al., Frontiers in Medicine 2023
  • Quaden et al., Arthritis & Rheumatology 2020

Opportunity

Licensing / Research Collaboration

Business developer

dr. Leen Willems