Last reviewed · How we verify

NCT05680844

Peripheral Treg Cell Senescence & Serum Total Cholesterol Level

Completed Last updated 8 April 2025
What this trial tests

trial in Hypercholesterolemia in 200 participants. Completed in 31 December 2024.

Timeline
1 January 2023
Primary endpoint
31 December 2023
31 December 2024

Quick facts

Lead sponsorTianjin Medical University
StatusCompleted
Study typeOBSERVATIONAL
Enrollment200
Start date1 January 2023
Primary completion31 December 2023
Estimated completion31 December 2024
Sites1 location across China

Conditions studied

Sponsor

Tianjin Medical University

Who can join

Adults 30 to 60, any sex, with Hypercholesterolemia. Patients with the condition only — healthy volunteers not accepted.

Sponsor's own description

Hypercholesterolemia is a risk factor for the occurrence and development of atherosclerosis. Recent animal studies have found that increased serum cholesterol level is associated with peripheral Treg cell senescence, but clinical evidence is still lacking. The purpose of this study is to analyze the correlation between human peripheral Treg cell senescence and serum total cholesterol level using clinical blood samples, thus laying a foundation for the establishment of novel therapeutic strategies for atherosclerosis based on the regulation of Treg cell senescence.

Publications & conference data

No peer-reviewed publications indexed yet for this trial. Completed trials usually publish results within 12-18 months.

Verify or expand the search:

Other recruiting trials for Hypercholesterolemia

Currently open trials in the same condition.

Other Tianjin Medical University trials

Trials by the same sponsor.

Verify against primary sources

Data sources for this page

Drug Landscape aggregates and links these public records for informational use only. Always verify against the primary source before clinical or regulatory decisions. Canonical URL: https://druglandscape.com/trial/NCT05680844.

Primary sources · FDA · ClinicalTrials.gov · EMA · SEC EDGAR · ChEMBL · Wikidata · full sourcing