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.
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
220
Collection of blood samples for DNA extraction and genetic characterization, and for identification of peripheral blood biomarkers using single-cell transcriptomics and mass cytometry.
Zhognshan Ophthalmic Center, Sun Yat-sen University
Guangzhou, Guangdong, China
RECRUITINGPeripheral 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.
Time frame: 1 year
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.
Time frame: 1 year
Yizhi Liu
CONTACT
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