Diabetic Retinopathy Clinical Trial
Official title:
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.
Status | Recruiting |
Enrollment | 220 |
Est. completion date | October 1, 2021 |
Est. primary completion date | October 1, 2020 |
Accepts healthy volunteers | Accepts Healthy Volunteers |
Gender | All |
Age group | 18 Years and older |
Eligibility |
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 |
Country | Name | City | State |
---|---|---|---|
China | Zhognshan Ophthalmic Center, Sun Yat-sen University | Guangzhou | Guangdong |
Lead Sponsor | Collaborator |
---|---|
Sun Yat-sen University |
China,
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Peripheral blood mononuclear cell (PBMC) signatures | 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 | PBMC cell types frequencies | 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 |
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