NCT07512609

Environment, Inflammation and Metabolic Diseases Study

• Status: Recruiting
• Phase: —
• Study type: Observational
• Enrollment: 8,000 (estimated)
• Sponsor: Qifu Li · Academic / Other
• Sex: All
• Age: —
• Healthy volunteers: Accepted

Summary

The aim is to establish an effective and practical early warning model for endocrine and metabolic diseases based on an environmental-gene-protein panoramic network, to uncover new mechanisms underlying the onset and progression of these diseases, and to screen for novel therapeutic targets.

Detailed description

This study aims to establish a specialized resource database for metabolic diseases-the Chongqing Environment, Inflammation, and Metabolic Diseases Study (EIMDS). The cohort will include approximately 8,000 community-based individuals who have been followed up for over 5 years, with clinical, biochemical, and endpoint event assessments conducted every two years, along with the collection of blood and urine samples. Based on the EIMDS cohort,this study will explore the risk factors for endocrine and metabolic diseases from a population perspective. Furthermore, by employing technologies such as whole-transcriptome sequencing, proteomics and phosphoproteomics, ATAC-seq, and single-cell sequencing,this study aim to elucidate the molecular mechanisms underlying endocrine and metabolic diseases and identify potential drug targets.

Conditions

• Endocrine Disease
• Metabolic Disorders
• Hypertension
• Diabetes Mellitus

Interventions

Type	Name	Description
OTHER	observe	A single observational cohort of study participants undergoing baseline biochemical screening for autonomous aldosterone secretion (AAS). No experimental interventions or treatments are administered. All participants receive standard clinical care and undergo standardized baseline assessments, including measurement of plasma aldosterone concentration (PAC) and plasma renin concentration (PRC) for AAS classification, as well as collection of demographic, clinical, biochemical, anthropometric data and biospecimens for proteomic analysis.

Timeline

• Start date: 2020-12-25
• Primary completion: 2026-12-31
• Completion: 2026-12-31
• First posted: 2026-04-06
• Last updated: 2026-04-06

Locations

1 site across 1 country: China