The Plasma Metabolomics Profiling of Primary Aldosteronism

July 7, 2024 updated by: Zhiming Zhu, Third Military Medical University

Primary aldosteronism (PA), characterized by overt renin-independent aldosterone production, is the most common form endocrine hypertension. Compared with blood pressure-matched cases of essential hypertension (EH), PA is associated with a higher risk of cardiovascular morbidity and mortality. It is estimated that PA affects at least 10% of hypertensive patients and up to 25% of treatment-resistant hypertension. The major subtypes of PA are comprised of bilateral idiopathic hyperaldosteronism (IHA) and unilateral aldosterone-producing adenoma (APA). The screening, confirmatory testing, and subtype differentiation of PA for therapeutic management is a multi-step and complex process, resulting in low screening rates and poor clinical recognition.

PA is an independent risk factor for metabolic morbidity. Metabolomic profiling is a relatively new strategy for the diagnosis and prognosis of disease through identification and quantification of various metabolites. In the current study, we aimed to investigate the potential biomakers for discriminating PA from EH, as well as subtype classification for PA, by untargeted metabolomics.

Study Overview

Study Type

Observational

Enrollment (Actual)

95

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

    • Chongqing
      • Chongqing, Chongqing, China, 400042
        • China Chongqing The third hospital affiliated to the Third Millitary Medical University

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Adult
  • Older Adult

Accepts Healthy Volunteers

No

Sampling Method

Probability Sample

Study Population

75 hypertensive patients diagnosed with PA and 20 additional age-, sex-, body mass index (BMI)- and waist circumference- matched essential hypertensive patients were recruited from the Department of Hypertension and Endocrinology, Army Medical Center, Army Medical University, Chongqing, China, from August to October 2022. Informed consent was obtained from each participant.

Description

Inclusion Criteria:

  • According to 2010 Chinese guidelines for the management of Essential hypertension (EH), EH was defined as systolic blood pressure (SBP) ≥140 mm Hg, diastolic blood pressure (DBP) ≥90 mm Hg, and use of antihypertensive medicine within 2 weeks and excluded from PA through ARR or confirmatory testing.
  • Patients were confirmed to be diagnosed with Primary aldosteronism (PA) in accordance with the Endocrine Society Clinical Practice Guideline criteria. Patients with an aldosterone-to-renin ratio (ARR) > 3.7 (ng/dL) further conformed with one of the following confirmatory tests: saline infusion test or captopril-inhibition test. Adrenal CT scans and Adrenal venous sampling (AVS) were performed for PA subtype classification.
  • Patients with idiopathic hyperaldosteronism (IHA) were determined based on the absence of obvious adenoma on adrenal CT and bilateral aldosterone overproduction.
  • Patients with aldosterone-producing adenoma (APA) were identified based on macroadenoma >1 cm on adrenal CT, unilateral hypersecretion of aldosterone, and pathological confirmation.
  • Signed informed consent and agreed to participate in this study.

Exclusion Criteria:

  • other subtypes of secondary hypertension, including renal hypertension, renovascular hypertension, and adrenal hypertension (i.e., pheochromocytoma and Cushing syndrome).
  • adrenal cortical carcinoma
  • acute infection at the time of assessment
  • severe cardiovascular or cerebrovascular disease, liver or renal dysfunction, tumors, autoimmune disease or mental disorders.
  • history of adrenalectomy
  • alcohol abuse or pregnancy

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
essential hypertension (EH)
According to 2010 Chinese guidelines for the management of essential hypertension (EH), EH was defined as systolic BP (SBP) ≥140 mm Hg, diastolic BP (DBP) ≥90 mm Hg, and use of antihypertensive medicine within 2 weeks and excluded from PA through ARR or diagnostic testing.
Metabolomics is a rapidly evolving high-throughput technology that allows the measurement of the entire complement of metabolites generated by biochemical reactions under certain conditions in biological fluids or tissues. This technology has been used extensively to identify biomarkers in various cancers, nervous system diseases, cardiovascular diseases, pituitary diseases, and other diseases. The identification of biomarkers can be clinically useful for a more accurate diagnosis, prognosis, and treatment choice as well as disease monitoring. Among mass spectrometry (MS) methods, liquid chromatography- mass spectrometry (LC-MS) has been recognized as a robust metabolomics tool and has been widely applied in metabolite identification and quantification due to its high sensitivity, peak resolution, and reproducibility.
idiopathic aldosteronism (IHA)
Patients were confirmed to be diagnosed with primary aldosteronism (PA) in accordance with the Endocrine Society Clinical Practice Guideline criteria. Antihypertensive drugs that may affect the renin-angiotensin-aldosterone system (RAAS) were discontinued for at least 2-4 weeks. Patients with an aldosterone-to-renin ratio (ARR) > 3.7 (ng/dL) further underwent one of the following confirmatory tests: saline infusion test (infusion of 2 L isotonic saline within 4 h) or captopril-inhibition test (oral administration of 50 mg captopril). Adrenal CT scan and adrenal vein sampling (AVS) were performed for PA subtype classification. Patients with IHA were determined based on the absence of obvious adenoma on adrenal CT and bilateral aldosterone overproduction.
Metabolomics is a rapidly evolving high-throughput technology that allows the measurement of the entire complement of metabolites generated by biochemical reactions under certain conditions in biological fluids or tissues. This technology has been used extensively to identify biomarkers in various cancers, nervous system diseases, cardiovascular diseases, pituitary diseases, and other diseases. The identification of biomarkers can be clinically useful for a more accurate diagnosis, prognosis, and treatment choice as well as disease monitoring. Among mass spectrometry (MS) methods, liquid chromatography- mass spectrometry (LC-MS) has been recognized as a robust metabolomics tool and has been widely applied in metabolite identification and quantification due to its high sensitivity, peak resolution, and reproducibility.
aldosterone-producing adenoma (APA)
Patients were confirmed to be diagnosed with primary aldosteronism (PA) in accordance with the Endocrine Society Clinical Practice Guideline criteria. Antihypertensive drugs that may affect the renin-angiotensin-aldosterone system (RAAS) were discontinued for at least 2-4 weeks. Patients with an aldosterone-to-renin ratio (ARR) > 3.7 (ng/dL) further underwent one of the following confirmatory tests: saline infusion test (infusion of 2 L isotonic saline within 4 h) or captopril-inhibition test (oral administration of 50 mg captopril). Adrenal CT scan and adrenal vein sampling (AVS) were performed for PA subtype classification. Patients with APA were identified based on macroadenoma >1 cm on adrenal CT, unilateral hypersecretion of aldosterone, and pathological confirmation.
Metabolomics is a rapidly evolving high-throughput technology that allows the measurement of the entire complement of metabolites generated by biochemical reactions under certain conditions in biological fluids or tissues. This technology has been used extensively to identify biomarkers in various cancers, nervous system diseases, cardiovascular diseases, pituitary diseases, and other diseases. The identification of biomarkers can be clinically useful for a more accurate diagnosis, prognosis, and treatment choice as well as disease monitoring. Among mass spectrometry (MS) methods, liquid chromatography- mass spectrometry (LC-MS) has been recognized as a robust metabolomics tool and has been widely applied in metabolite identification and quantification due to its high sensitivity, peak resolution, and reproducibility.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
The potential biomarkers for primary aldosteronism diagnosis via untargeted metabolomics
Time Frame: 4 months
The differentially expressed metabolites between primary aldosteronism (PA) and essential hypertension (EH) will be identified by untargeted metabolomics. The differentially expressed metabolites with good discriminative capability for determination of PA from EH can serve as biomarkers for PA diagnosis.
4 months
The potential biomarkers for primary aldosteronism subtype classification via untargeted metabolomics
Time Frame: 4 months
The differentially expressed metabolites between idiopathic aldosteronism (IHA) and aldosterone-producing adenoma (APA) will be identified by untargeted metabolomics. The differentially expressed metabolites with good discriminative capability for determination of APA from IHA can serve as biomarkers for PA subtype classification.
4 months
The predictive models for PA diagnosis and subtype classification by machine learning
Time Frame: 4 months
The predictive models will be constructed through the application of machine learning, integrating clinical data with differentially expressed metabolites for the diagnosis and subtype classification of PA
4 months

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

August 15, 2022

Primary Completion (Actual)

December 28, 2022

Study Completion (Actual)

May 19, 2023

Study Registration Dates

First Submitted

June 30, 2024

First Submitted That Met QC Criteria

July 7, 2024

First Posted (Actual)

July 15, 2024

Study Record Updates

Last Update Posted (Actual)

July 15, 2024

Last Update Submitted That Met QC Criteria

July 7, 2024

Last Verified

July 1, 2024

More Information

Terms related to this study

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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