Oxford BioDynamics expands biomarker discovery programme for ALS

Oxford BioDynamics is expanding its biomarker discovery programme for the development of companion diagnostic tests for Amyotrophic Lateral Sclerosis (ALS), using its EpiSwitch technology

The range and complexity of symptoms exhibited by patients with ALS, means that it can take up to a year for a diagnosis to be confirmed after the initial symptoms begin to appear and according to BioDynamics.

The test using EpiSwitch technology is designed to help doctors diagnose the disease within weeks of initial symptoms appearing in patients.

With the support from the UK government and Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford BioDynamics is a team of specialists in analysis and independent validation of a group of 100 ALS patients and 100 age-matched controls.

The samples, 38 of which have already been delivered to the company’s reference facility, will be used to evaluate epigenetic systemic blood-based biomarkers to support early diagnosis of the disease.

The latest development is built on the results achieved by Oxford BioDynamics with support from Northeast Amyotrophic Lateral Sclerosis Consortium (NEALS) and Massachusetts General Hospital.

Analysis of blood samples provided from US identified a signature of nine systemic epigenetic biomarkers related to the immuno-footprint of ALS extensive analysis according to the company.

58 patients and controls were successfully stratified by the developed signature and Oxford BioDynamics is following up on the study with further independent cohort validations and aims to release all the results in mid-2016.

Alexandre Akoulitchev, chief scientific officer and co-founder of Oxford BioDynamics said: “Support from the UK government and our clinical colleagues at the University of Oxford gives us a unique opportunity to build on the successful application of our technology to the first cohort of US patients and helps bring forward fully developed biomarker tools for patients with ALS.

“Our platform technology has been recognised this year with the Best Innovation Technology Award from Frost and Sullivan and has already delivered a number of invaluable validated results in several indications.

“We are very excited to see the immediate results from applications in neurodegenerative indications, especially in ALS, where the unmet clinical need for early diagnosis and prognosis is great.”