Autoimmune Diseases, Healthy, Uveitis
Conditions
Brief summary
The goal of this clinical trial is to learn if dietary supplements containing vitamin and unsaturated fatty acid works to intervene T cell inflammatory factor expression in patients with uveitis and healthy subjects in adults.
Interventions
DIETARY_SUPPLEMENTVitamin A treatment
Vitamin A, 32 microgram per kilograms (of body weight) per day, for three weeks
DIETARY_SUPPLEMENTMonounsaturated fatty acid mixture
Monounsaturated fatty acid mixture (mainly Omega-7, Omega-9), 47 milligrams per kilogram (of body weight) per day, for three weeks
DIETARY_SUPPLEMENTPolyunsaturated fatty acid mixture
Polyunsaturated fatty acid mixture (mainly Omega-3, Omega-6), 6 milligrams per kilogram (of body weight) per day, for three weeks
DIETARY_SUPPLEMENTFatty acid mixture
Fatty acid mixture (mainly saturated fatty acid, Omega-6, Omega-7, Omega-9), 83 milligrams per kilogram (of body weight) per day, for three weeks
Sponsors
Tianjin Medical University
Study design
Allocation
NON_RANDOMIZED
Intervention model
SINGLE_GROUP
Primary purpose
BASIC_SCIENCE
Masking
NONE
Eligibility
Sex/Gender
ALL
Age
19 Years to 65 Years
Healthy volunteers
Yes
Inclusion criteria
* healthy or with uveitis volunteers age 19-65 years.
Exclusion criteria
* abnormal blood glucose, blood pressure, blood lipids, or other systemic diseases should not participate in the study
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Inflammatory factors-Interferon gamma (IFN-γ) | 3 weeks | Flow cytometry analysis of peripheral blood mononuclear cells (PBMCs) to detect the ratio of Interferon gamma (IFN-γ) -producing cells in CD4+ T cells and CD8+ T cells |
| Inflammatory factors-Granulocyte-Macrophage Colony-Stimulating Factor (GM-CSF) | 3 weeks | Flow cytometry analysis of peripheral blood mononuclear cells (PBMCs) to detect the ratio of Granulocyte-Macrophage Colony-Stimulating Factor (GM-CSF) -producing cells in CD4+ T cells and CD8+ T cells |
| Inflammatory factors-Interleukin-17A (IL-17A) | 3 weeks | Flow cytometry analysis of peripheral blood mononuclear cells (PBMCs) to detect the ratio of Interleukin-17A (IL-17A) -producing cells in CD4+ T cells and CD8+ T cells |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Cytokine levels-Interferon gamma (IFN-γ) | 3 weeks | Analysis of cytokine levels in blood. Detect the concention of Interferon gamma (IFN-γ) in plasma |
| Cytokine levels-Interleukin-2 (IL-2) | 3 weeks | Analysis of cytokine levels in blood. Detect the concention of Interleukin-2 (IL-2) in plasma |
| Cytokine levels-Interleukin-17A (IL-17A) | 3 weeks | Analysis of cytokine levels in blood. Detect the concention of Interleukin-17A (IL-17A) in plasma |
| Cytokine levels-Granulocyte-Macrophage Colony-Stimulating Factor (GM-CSF) | 3 weeks | Analysis of cytokine levels in blood. Detect the concention of Granulocyte-Macrophage Colony-Stimulating Factor (GM-CSF) in plasma |
| Cytokine levels-Interleukin-10 (IL-10) | 3 weeks | Analysis of cytokine levels in blood. Detect the concention of Interleukin-10 (IL-10) in plasma |
| Cytokine levels-Interleukin-9 (IL-9) | 3 weeks | Analysis of cytokine levels in blood. Detect the concention of Interleukin-9 (IL-9) in plasma |
| Cytokine levels-Interleukin-4 (IL-4) | 3 weeks | Analysis of cytokine levels in blood. Detect the concention of Interleukin-4 (IL-4) in plasma |
| Cytokine levels-Tumor Necrosis Factor alpha (TNF-α) | 3 weeks | Analysis of cytokine levels in blood. Detect the concention of Tumor Necrosis Factor alpha (TNF-α) in plasma |
Other
| Measure | Time frame | Description |
|---|---|---|
| Transcriptomics analysis | 3 weeks | Analyze the changes in peripheral blood mononuclear cells using transcriptomics. Detect the cell populations , genes number and expression. |
| Proteomics analysis | 3 weeks | Analyze the changes in peripheral blood mononuclear cells using proteomics. Detect the proteins expression. |
| metabolomics analysis | 3 weeks | Analyze the changes in peripheral blood mononuclear cells using metabolomics. Detect the metabolites numbers, localization and level. |
| post-translational modification proteomics analysis | 3 weeks | Analyze the changes in peripheral blood mononuclear cells using post-translational modification proteomics. Detect the protein various modification, such as lactylation, crotonylation, palmitoylation and methylation. |
Countries
China
Outcome results
None listed