Biomarkers of Common Eye Diseases

September 25, 2019 updated by: Yingfeng Zheng, Sun Yat-sen University

Using Next-Generation Sequencing Technology to Identify Biomarkers of Common Eye Diseases

To identify biomarkers of common eye diseases based on single-cell sequencing technologies using PBMC samples. These diseases include uveitis, diabetic retinopathy, age-related macular degeneration and polypoid choroidal vasculopathy. Our study may provide new insight into the underlying mechanisms, and reveal novel predictors and intervention targets for the diagnosis, prognosis and treatment of these diseases.

Study Overview

Detailed Description

The pathogenesis of common eye diseases such as uveitis (including Behcet's disease (BD) and Vogt-Koyanagi-Harada disease (VKH)), diabetic retinopathy (DR), age-related macular degeneration (AMD) and polypoid choroidal vasculopathy (PCV) remains unknown. Although immunosuppressants, anti-vascular endothelial growth factor (VEGF) agents, and pars plana vitrectomy (PPV) have been widely used for treatment, the current therapeutic options are limited. In addition, there is a lack of biomarkers to indicate the prognosis and treatment response of these diseases. The aim of this study is to identify biomarkers and to provide a new target for individualized diagnosis and treatment of common eye diseases based on single cell sequencing technology.

Study Type

Observational

Enrollment (Anticipated)

220

Contacts and Locations

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

Study Contact

Study Contact Backup

  • Name: Yizhi Liu

Study Locations

    • Guangdong
      • Guangzhou, Guangdong, China, 510000
        • Recruiting
        • Zhognshan Ophthalmic Center, Sun Yat-sen University
        • Contact:

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

18 years and older (Adult, Older Adult)

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Sampling Method

Non-Probability Sample

Study Population

Healthy subjects and patients who are diagnosed as DR, VKH, BD, AMD, or PCV will be enrolled.

Description

Inclusion Criteria for patients:

  1. Age over 18 (including 18 years old);
  2. Clinically diagnosed as diabetic retinopathy (DR), uveitis (VKH or BD) , age-related macular degeneration (AMD) , or polypoid choroidal vasculopathy (PCV)

Exclusion Criteria for patients with retinal diseases:

  1. Have received more than 2 intravitreal injections of anti-VEGF drugs because of retinal or choroidal neovascularization and macular edema;
  2. Patients with stable condition after having undergone panretinal laser photocoagulation and pars plana vitrectomy (PPV);
  3. There are other serious systemic diseases of the body, such as history of chronic kidney disease requiring dialysis or a kidney transplant, unstable blood pressure, cardiovascular disease, tumors, etc;
  4. Patients who are pregnant or nursing

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: Prospective

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
Patients with VKH, BD, DR, AMD, or PCV
Collection of blood samples and clinical information from patients with VKH, BD, DR, AMD, or PCV
Collection of blood samples for DNA extraction and genetic characterization, and for identification of peripheral blood biomarkers using single-cell transcriptomics and mass cytometry.
Healthy subjects
Collection of blood samples and clinical information
Collection of blood samples for DNA extraction and genetic characterization, and for identification of peripheral blood biomarkers using single-cell transcriptomics and mass cytometry.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Peripheral blood mononuclear cell (PBMC) signatures
Time Frame: 1 year
PBMC signatures, derived from single cell sequencing and mass spectrometry, will be compared for the same patient before and after treatment, among patients of different symptoms and severity measures, and also between patients and healthy subjects. Upon these comparisons, biomarkers will be established for the patient population.
1 year

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
PBMC cell types frequencies
Time Frame: 1 year
PBMC cell types frequencies, derived from single cell sequencing and mass spectrometry, will be compared for the same patient before and after treatment, among patients of different symptoms and severity measures, and also between patients and healthy subjects.
1 year

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)

September 26, 2019

Primary Completion (Anticipated)

October 1, 2020

Study Completion (Anticipated)

October 1, 2021

Study Registration Dates

First Submitted

September 20, 2019

First Submitted That Met QC Criteria

September 23, 2019

First Posted (Actual)

September 24, 2019

Study Record Updates

Last Update Posted (Actual)

September 27, 2019

Last Update Submitted That Met QC Criteria

September 25, 2019

Last Verified

September 1, 2019

More Information

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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