Biorepository of Biospecimen Samples in Matched Healthy Control Participants and Participants Diagnosed With Diabetic Kidney Disease, Chronic Kidney Disease, or Type 2 Diabetes
试验速览
- 阶段
- 不适用
- 状态
- 已完成
- 发起方
- 入组人数
- 40
- 试验地点
- 1
- 主要终点
- collect biospecimen samples
研究概览
简要总结
The Investigators will generate a repository of human biosamples across therapeutic areas that will be used to identify disease-associated biomarkers and potential targets with immune and multi-omics profiling. This sample collection and analysis from people living with type 2 diabetes, or chronic or diabetic kidney disease will lay the groundwork for an extensive network of biosample access and linked datasets that will provide an invaluable resource for translational research.
详细描述
The Investigators will generate a repository of human biosamples across therapeutic areas that will be used to identify disease-associated biomarkers and potential targets with immune and multi-omics profiling. This sample collection and analysis from people living with type 2 diabetes, or chronic or diabetic kidney disease will lay the groundwork for an extensive network of biosample access and linked datasets that will provide an invaluable resource for translational research.
研究设计
- 研究类型
- Observational
- 观察模型
- Cohort
- 时间视角
- Prospective
入排标准
- 年龄范围
- 18 Years 至 85 Years（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- 未提供
排除标准
- 未提供
结局指标
主要结局
collect biospecimen samples
时间窗: 7 months
The study objective is to collect biospecimen samples (e.g., blood and urine) from participants diagnosed with diabetic kidney disease, chronic kidney disease, or type 2 diabetes. These samples will be used to generate a repository of human biosamples across therapeutic areas that will be used to identify disease-associated biomarkers and potential targets with immune and multi-omics profiling. This sample collection and analysis from people living with type 2 diabetes, or chronic or diabetic kidney disease will lay the groundwork for an extensive network of biosample access and linked datasets that will provide an invaluable resource for translational research.
次要结局
未报告次要终点