Neuroretinal Biomarkers in Neurodegenerative Diseases

Investigation Into the Role of Neuroretinal Biomarkers in the Phenotyping of Neurodegenerative Diseases, and Potential for Tracking Progression and Monitoring Impact of Interventions, Events and Therapies.

There is increasing evidence that examining our eyes can tell us a lot of information about our health, and systemic diseases. We want to study what eyes can reveal about serious neurodegenerative diseases like multiple sclerosis, and motor neurone disease, by analysing the retinal images from a simple non-invasive eye scan, that is already being routinely used to provide immediate clinical information in this group of patients.

Study Overview

• Status: Completed
• Conditions: Multiple Sclerosis

Detailed Description

The identification of reliable biomarkers in multiple sclerosis (MS), and other neurodegenerative diseases, has become increasingly important with the development of disease-modifying treatments.

A range of genetic, metabolic and imaging biomarkers exist, in correlations with diagnosis, phenotypic expression, inflammation, degeneration and prognosis; although there is wide variation in specificity, sensitivity, reproducibility and cost.

In MS specifically, we know that whilst the primary pathological process is demyelination of neurones (which can be accompanied by inflammation, and resolving symptoms), it is the subsequent axonal loss - neurodegeneration - that gives rise to the permanent functional disability.

Magnetic resonance imaging (MRI) brain scans are currently our primary source of objective information in assessing MS disease status, in terms of neurodegeneration and possibly prognosis. Measurements of brain atrophy have shown worsening rates are higher in untreated MS patients compared with healthy controls and also correlate with subsequent disability status eight years later.

However, brain atrophy measures sometimes reveal paradoxical outcomes, particularly of white matter atrophy, where normal or increased volume as a result of pathological processes, such as tissue damage and repair, can impact upon the measures.

The search then for other markers of neurodegenerative disease status and prognosis continues, with renewed interest in the eye.

In MS, early work has suggested certain retinal measures, particularly the width of the layer that consists largely of retinal ganglion cell nerve axons, as candidate biomarkers, under the hypothesis that neuroretinal tissue reflects global central nervous system (CNS) pathology. Conceptually, this would seem reasonable, given the frequency for anterior visual pathway involvement as the primary presentation of MS; and in addition, the unmyelinated ganglion cell axons that form the retinal nerve fibre layer (RNFL) are a direct extension of the brain, and global neurodegeneration would be expected to involve these neurones - particularly in MS, where the disease lesions have a predilection for the periventricular regions, which are in close proximity to the optic radiations.

However, the natural history of neuroretinal tissue integrity is poorly understood, and in vivo measurement is a very new modality, requiring validation and context to any interpretation.

In addition, retinal imaging permits the direct visualisation, and subsequent analysis, of the retinal vasculature - shown in studies of stroke and hypertension to be an accurate representation of brain vasculature, with diagnostic and prognostic potential.

In summary, a combined score of neuroretinal integrity as measured by retinal imaging may yield new insights into sever neurodegenerative disease.

• Study Type: Observational
• Enrollment (Anticipated): 80

Contacts and Locations

Study Locations

• United Kingdom
  • Edinburgh, United Kingdom, EH16 4SB
    • Anne Rowling Regenerative Neurology Clinic

Participation Criteria

Eligibility Criteria

• Ages Eligible for Study: 18 years to 75 years (Adult, Older Adult)
• Accepts Healthy Volunteers: Yes
• Genders Eligible for Study: All

• Sampling Method: Non-Probability Sample

Study Population

All MS patients attending the ARRNC research clinic

Description

Inclusion Criteria:

• willing to participate with informed consent
• age 18-75
• male or female
• confirmed diagnosis of multiple sclerosis

Exclusion Criteria:

• concurrent eye disease, or media opacity
• high refractive error (> +6 or -6)

Study Plan

How is the study designed?

Number of groups / cohorts

2

Cohorts and Interventions

Group / Cohort
MS patients; All MS sub-types
Controls; sex- and age-matched controls

What is the study measuring?

Primary Outcome Measures

Outcome Measure	Measure Description	Time Frame
Retinal nerve fibre layer (RNFL) thickness change over time	Monitoring of RNFL thickness over time, as measured by optical coherence tomography (OCT) retinal scanning, particularly in relation to disease events, or interventions.	0, 6, 12, 24 months

Secondary Outcome Measures

Outcome Measure	Measure Description	Time Frame
Retinal vascular fractal dimension change over time	Monitoring of retinal vessel metrics, of bifurcation optimality and tortuosity; and combination with neuroretinal measures as a combined score.	0, 6, 12, 24 months

Collaborators and Investigators

• Sponsor: University of Edinburgh
• Investigators: Principal Investigator: James Cameron, FRCOphth, University of Edinburgh

Study record dates

Study Major Dates

• Study Start: March 1, 2014
• Primary Completion (Actual): February 1, 2016
• Study Completion (Actual): February 1, 2016

Study Registration Dates

• First Submitted: January 22, 2014
• First Submitted That Met QC Criteria: January 24, 2014
• First Posted (Estimate): January 28, 2014

Study Record Updates

• Last Update Posted (Estimate): May 11, 2016
• Last Update Submitted That Met QC Criteria: May 10, 2016
• Last Verified: December 1, 2015

More Information

Terms related to this study

• Additional Relevant MeSH Terms: Nervous System Diseases; Immune System Diseases; Demyelinating Autoimmune Diseases, CNS; Autoimmune Diseases of the Nervous System; Demyelinating Diseases; Autoimmune Diseases; Multiple Sclerosis; Neurodegenerative Diseases
• Other Study ID Numbers: 147305