Actively Recruiting

All Genders
Healthy Volunteers
ID07512609

Environment, Inflammation and Metabolic Diseases Study

Led by Qifu Li · Updated on 2026-04-06

8000

Participants Needed

1

Research Sites

N/A

Total Duration

On this page

AI-Summary

What this Trial Is About

Researchers are studying endocrine and metabolic diseases by creating a specialized database called the Chongqing Environment, Inflammation, and Metabolic Diseases Study (EIMDS). This observational study aims to build an early warning model based on environmental, genetic, and protein factors to uncover new mechanisms behind these diseases and identify new treatment targets. The cohort includes about 8,000 community members followed for over five years. Participants are grouped based on having hypertension, diabetes mellitus, or autonomous aldosterone secretion (AAS). The study involves baseline biochemical screenings, including tests measuring plasma aldosterone and renin levels to classify AAS. No experimental treatments are given; instead, participants continue their usual clinical care while undergoing standardized assessments and biospecimen collections for advanced molecular analyses. During the study, participants undergo clinical, biochemical, and event assessments every two years, with blood and urine samples collected for research. The primary outcome is to determine the prevalence of AAS over a five-year follow-up. Secondary outcomes include identifying risk factors, exploring associations between AAS and kidney or metabolic disorders, and screening for key proteins and biomarkers. The study helps understand disease progression through detailed molecular and clinical data gathered over time.

CONDITIONS

Brief Title

Environment, Inflammation and Metabolic Diseases Study

Who Can Participate

All Genders
Healthy Volunteers

Eligibility Criteria

Eligible

You may qualify if you...

  • Individuals who voluntarily participate in the physical examination
Not Eligible

You will not qualify if you...

  • Participants with incomplete data

AI-Screening

AI-Powered Screening

Complete this quick 3-step screening to check your eligibility

1
2
3
+1

Your Study Journey

Screening

Duration - 2 to 4 weeks

Participants are screened for eligibility to participate in the trial.

1 visit (in-person)

Diagnostic Evaluation

Duration - 1 day

Participants undergo baseline biochemical screening and standardized assessments including measurement of plasma aldosterone concentration, plasma renin concentration, and collection of demographic, clinical, biochemical, anthropometric data and biospecimens for proteomic analysis.

1 visit (in-person)

Long-term Monitoring

Duration - Approximately 5 years

Participants are followed up every two years for clinical, biochemical, and endpoint event assessments, including collection of blood and urine samples to explore risk factors and molecular mechanisms of endocrine and metabolic diseases.

Assessments every 2 years

Trial Site Locations

Total: 1 location

1

The First Affiliated Hospital of Chongqing Medical University

Chongqing, China

Actively Recruiting

Loading map...

Research Team

Q

Qifu Li, MD, PhD, Chief Physician

S

Shumin Yang, MD, PhD, Chief Physician

How is the study designed?

Study Type

OBSERVATIONAL

Masking

N/A

Allocation

N/A

Model

N/A

Primary Purpose

N/A

Number of Arms

3

Similar Trials

"Smart Family Doctor" Assisted Comprehensive Management of S...

Post Coronary Artery Bypass Grafting

Actively Recruiting

1 location

The PILI 'Aina Project to Improve Cardiometabolic Health in...

Type 2 Diabetes

Actively Recruiting

2 locations

Vascular Function in Health and Disease: Rehabilitation for ...

Chronic Obstructive Pulmonary Disease

Actively Recruiting

1 location

Frequently Asked Questions

Have more questions? Get in touch with our team for quick support

Not the Right Trial for You?

Explore thousands of other clinical trials that might be a better match.
Sign up to get personalized trial recommendations delivered to your inbox.

Already have an account? Log in here

Published Research Related To This Trial

Perirenal Fat Thickness Is Significantly Associated With the Risk for Development of Chronic Kidney Disease in Patients With Diabetes.

Xiangjun Chen, Yun Mao, Jinbo Hu...

https://pubmed.ncbi.nlm.nih.gov/34593536