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NCT Number: NCT07111351

Multi-omics Studies of Primary Aldosteronism

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.

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Key information

Age range

18 year–80 year

Sex eligibility

All sexes

Study type

Observational

Primary location

Peking University First Hospital

Beijing, Beijing Municipality, 100034, China

Location status: Recruiting

Location contact

Zheng Zhang

CONTACT

[email protected]

+8613901371490

Who can participate

Healthy volunteers accepted: Yes

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

  • 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.

Exclusion criteria

  • 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

Treatment and study plan

without intervention

Other

Without intervention

Primary outcomes

  1. Multi-omics data and analysis results

    Time frame: 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.

Study contacts

Contact information is provided by the study sponsor or research team.

Wencong Han

CONTACT

[email protected]

+8618863665375

Sponsors and collaborators

Lead sponsor

Peking University First Hospital

Other

Collaborators

  • Peking University

Registry information

Important dates

Study start
2025
Primary completion
2029
Study completion
2029
First posted
Aug 8, 2025
Registry last updated
Dec 9, 2025

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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