Metabolomics in Surgical Ophthalmological Patients (MISO)

March 31, 2017 updated by: Prof. Dr. Stalmans Ingeborg, Universitaire Ziekenhuizen KU Leuven

Metabolomics consists in the study of metabolites in body fluids or tissues. It investigates the consequences of the activity of genes and proteins. One of its advantages is that it is able to do a simultaneous measurement of metabolic changes in living organisms as a response to a disturbance (disease, diet, environment, others) and because a metabolic profile is summative of all the biochemical processes occurring in the body at a given time, it makes no presumption about the relative importance of these processes. Ultimately it is a fingerprint of the organism's health status, at a given time.

Metabolomic analysis of serum, plasma and urine has revealed panels of metabolites that distinguish patients with cardiovascular disease, breast cancer, Parkinson disease, Alzheimer's disease and diabetes from control patients. Regarding ocular diseases only few studies have been published, related to diabetic retinopathy, retinal detachment, age-related macular degeneration, uveitis and glaucoma.

Glaucoma is one of the leading causes of blindness in the world, according to the World Health Organization, and there are still no biomarkers that can provide an early diagnosis. Nowadays, glaucoma classification relies substantially in the measurement of intraocular pressure (IOP), which can be rather artificial and also unreliable since IOP values can fluctuate during the day. Moreover, patients with normal IOP values can also develop glaucomatous neuropathy (normal-tension glaucoma, NTG) and progress even when IOP is decreased. Several studies have shown that NTG patients suffer from a systemic vascular dysregulation, with higher rates of systemic hypotension, Raynaud phenomenon and migraine. Hence, other mechanisms than an increased IOP are of importance in the development and progression of glaucoma.

Only one metabolome-wide study has been made in glaucoma (Burgess, I.; 2015). In a sample of 72 american patients with primary open angle glaucoma (POAG), the authors found significant differences in comparison to controls.

The hypothesis for this study is that glaucoma patients will differ from controls, and POAG patients will differ from NTG patients. The investigators will look into metabolomics as a way to create a method to diagnose and stratify patients, as an add-on or alternative to the currently available diagnostic tools like IOP, functional and structural measurement.

Study Overview

Detailed Description

This is a cross sectional study built to compare samples from glaucoma patients undergoing surgery (open-angle glaucoma and normal-tension glaucoma, age and gender matched) with age and gender-matched controls (healthy patients undergoing cataract surgery). For this the investigators will collect plasma, urine and aqueous humor to be analyzed through mass spectrometry and nuclear magnetic resonance spectroscopy. Patients have a night fasting period prior to sample collection, and a lifestyle and food frequency questionnaire is filled to control for nutritional influence on metabolites. Diabetic patients are excluded, since it would confound our analysis.

Study Type

Observational

Enrollment (Anticipated)

90

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

      • Leuven, Belgium, 3000
        • Recruiting
        • University Hospitals Leuven
        • Contact:
          • Sien Boons
          • Phone Number: 003216340391
        • Sub-Investigator:
          • João Barbosa-Breda, MD
        • Sub-Investigator:
          • Karel Van Keer, MD
        • Sub-Investigator:
          • Uwe Himmelreich, PhD
        • Sub-Investigator:
          • Bart Ghesquière, PhD
        • Sub-Investigator:
          • Anca Croitor Sava, PhD

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

56 years to 86 years (Adult, Older Adult)

Accepts Healthy Volunteers

N/A

Genders Eligible for Study

All

Sampling Method

Non-Probability Sample

Study Population

Patients from the ophthalmology department that are undergoing intraocular surgery.

Description

Inclusion Criteria:

  • glaucoma patients (POAG/NTG): undergoing trabeculectomy, XEN® implantation or cataract surgery
  • Controls (non glaucoma): undergoing cataract surgery
  • Caucasian

Exclusion Criteria:

  • Diabetes mellitus
  • any intra ocular surgery on study eye, other than clear cornea cataract surgery more than one year before
  • other eye pathologies than the one the surgery is intended for (except refractive error and cataract in glaucoma patients), namely retinopathies, uveitis and other causes for neuropathy.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Observational Models: Case-Control
  • Time Perspectives: Cross-Sectional

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
POAG
Primary open angle glaucoma patients
Metabolomics analysis of patient samples by mass spectrometry and nuclear magnetic resonance spectroscopy.
NTG
Normal/Low tension glaucoma patients
Metabolomics analysis of patient samples by mass spectrometry and nuclear magnetic resonance spectroscopy.
Control
Patients with cataract and without glaucoma or other eye diseases
Metabolomics analysis of patient samples by mass spectrometry and nuclear magnetic resonance spectroscopy.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Metabolomics profile of each group
Time Frame: Morning of the surgery
un-targeted metabolomics and identification of metabolites based on exact mass using metabolomics library
Morning of the surgery

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Surgical success of glaucoma patients
Time Frame: 12 months
Success is defined as an IOP between 6 and 18 mmHg with a reduction of 30% from baseline, and was sub-categorized as complete success if accomplished without glaucoma medication, qualified success with glaucoma medication, and total success as a combination of both complete and qualified. Eyes needing further glaucoma surgery, IOP ≤5 or > 18 mmHg on two consecutive visits, or loss of light perception due to glaucoma were considered as failures. Needling of encysted blebs is not considered a failure.
12 months

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

January 31, 2017

Primary Completion (Anticipated)

September 30, 2017

Study Completion (Anticipated)

September 30, 2018

Study Registration Dates

First Submitted

March 26, 2017

First Submitted That Met QC Criteria

March 26, 2017

First Posted (Actual)

March 31, 2017

Study Record Updates

Last Update Posted (Actual)

April 4, 2017

Last Update Submitted That Met QC Criteria

March 31, 2017

Last Verified

March 1, 2017

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

Undecided

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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