Metabolomics; Retinopathy; Etiology
Conditions
Brief summary
Through the analysis of metabolites in body fluids (intraocular fluid, plasma) of patients with retinal vascular diseases (retinal vein occlusion, diabetic retinopathy), the possible pathogenesis of retinal vein occlusion was explored.
Detailed description
1\. Clinical data of patients with RVO and DR Were retrospectively studied to analyze their pathogenesis. 2. Metabolomic studies were conducted on body fluids (intraocular fluid and peripheral blood) of patients with RVO and DR And control group to find out the differences and find new targets for the prevention and treatment of RVO and DR.
Interventions
OTHERetiology
As an important part of systems biology, metabolomics mainly detects various metabolites in the sample. Different from nucleic acids, proteins and other biological macromolecules, the relative molecular weight of these metabolites is small, generally within 1000Da, such as amino acids, carboxylic acids, carbohydrates, alcohols, amines, lipids and other special substances. Through qualitative and quantitative analysis of all endogenous low molecular weight metabolites before and after pathophysiology or gene modification stimulation, metabolomics reveals the essential characteristics of life activities and metabolism of the body, and provides guidance for exploring the pathogenesis, early diagnosis, treatment and prognosis of diseases.
Sponsors
Zhongnan Hospital
Study design
Observational model
COHORT
Time perspective
RETROSPECTIVE
Eligibility
Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
Yes
Inclusion criteria
* Age ≥18 years old * Confirmed diagnosis of retinal vein obstruction and diabetic retinopathy through ophthalmic specialist examination
Exclusion criteria
* Severe systemic diseases * Pregnant and lactating patients
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Screening of prognostic markers and model validation | 1/12/2024-30/12/2024 | 1. Surface markers and key molecules related to the study of diseases were screened out, and a biomarker model for assessing disease prognosis was established. 2. Candidate differential molecules were screened through a training cohort, a Cox regression model was constructed, and the prognostic value of the model was verified in the test cohort. |
Countries
China
Outcome results
None listed