Multi-omics Studies of Primary Aldosteronism
试验速览
- 阶段
- 不适用
- 状态
- 招募中
- 入组人数
- 400
- 试验地点
- 1
- 主要终点
- Multi-omics data and analysis results
研究概览
简要总结
Primary aldosteronism is a prevalent yet underdiagnosed cause of secondary hypertension, contributing to significant cardiovascular morbidity and renal dysfunction. Despite affecting up to 20% of hypertensive patients, PA is frequently missed because it lacks distinctive clinical features and often presents with nonspecific symptoms like resistant hypertension or subtle electrolyte imbalances. The diagnostic pathway involves a stepwise approach: initial screening via the aldosterone-to-renin ratio, confirmatory testing (e.g., saline suppression or captopril challenge), and subtype differentiation using adrenal venous sampling to distinguish unilateral adenoma from bilateral hyperplasia. This complexity, combined with clinician unfamiliarity and variable access to specialized centers, perpetuates underdiagnosis. Early identification and tailored treatment are paramount in improving outcomes for patients with primary aldosteronism.
In this study, we will conduct a comprehensive multi-omics analysis on three sample types: 1) blood and urine samples from patients with primary aldosteronism, primary hypertension, and healthy controls; and 2) adrenal tissue samples from patients undergoing adrenalectomy for aldosterone-producing adenomas. We aim to systematically identify differentially expressed biomarkers that could serve as potential early diagnostic markers for primary aldosteronism. The findings may provide new insights into disease pathogenesis and contribute to improving early detection and personalized treatment strategies for this condition.
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 80 Years(Adult, Older Adult)
- 性别
- All
- 接受健康志愿者
- 是
入选标准
- •Diagnosed with primary aldosteronism , primary hypertension , or age- and sex-matched healthy controls;
- •Aged 18-80 years with complete medical records;
- •Willing to participate voluntarily and provide informed consent.
排除标准
- •History of chemotherapy or radiotherapy in the adrenal region ;
- •Positive serological or nucleic acid test results for HIV, hepatitis B, or hepatitis C , or a prior confirmed diagnosis;
- •Individuals with malignancies or autoimmune disorders ;
- •Study withdrawal during the trial period
结局指标
主要结局
Multi-omics data and analysis results
时间窗: May 2025 to May 2029
Collect various types of biological samples and utilize advanced proteomics and metabolomics technologies to obtain comprehensive omics data. Based on this, combine machine learning algorithms to deeply mine multi-omics data and clinical information, aiming to screen novel biomarkers for the prediction, classification, and diagnosis of primary aldosteronism, and construct a high-precision prediction model.
次要结局
未报告次要终点
