MedDataX Logo

Brain Network Connectivity of Patients With Metabolic Diseases

NCT ID: NCT06725589

Last Updated: 2024-12-10

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

Get a concise snapshot of the trial, including recruitment status, study phase, enrollment targets, and key timeline milestones.

Recruitment Status

COMPLETED

Total Enrollment

690 participants

Study Classification

OBSERVATIONAL

Study Start Date

2024-01-01

Study Completion Date

2024-06-30

Brief Summary

Review the sponsor-provided synopsis that highlights what the study is about and why it is being conducted.

The global prevalence of metabolic diseases, including hypertension, type 2 T2DM mellitus (T2DM), gout and obesity, has risen over the past two decades. Brain controls human behavior and metabolism in organisms. It will be very interesting to explore whether there are similarities or relations among different metabolic diseases and how brain might be involved in the progression of different metabolic diseases.

We analyzed the PET-CT images and clinical biological markers of 112 cases of hypertension, 56 cases of T2DM, 11 cases of obesity, 14 cases of gout, and 497 cases without the above diseases. Standardized uptake value ratios (SUVRs) were extracted from different brain regions according to AAL brain atlas using Spatial-Normalization-of-Brain-PET-Images. Partial correlation analysis was used to analyze the correlation of the SUVRs of different brain regions with clinical biological markers by controlling sex, age and BMI. Brain network metabolic connectivity was analyzed using Permutation\_IHEP software and visualized using BrainNet Viewer.

Detailed Description

Dive into the extended narrative that explains the scientific background, objectives, and procedures in greater depth.

Conditions

See the medical conditions and disease areas that this research is targeting or investigating.

Metabolic Disease

Study Design

Understand how the trial is structured, including allocation methods, masking strategies, primary purpose, and other design elements.

Observational Model Type

CASE_CONTROL

Study Time Perspective

RETROSPECTIVE

Study Groups

Review each arm or cohort in the study, along with the interventions and objectives associated with them.

hypertension, T2DM, obesity, gout, and patients without the above diseases

hypertension, T2DM, obesity, gout, and patients without the above diseases

metabolic disease

Intervention Type OTHER

metabolic disease

Interventions

Learn about the drugs, procedures, or behavioral strategies being tested and how they are applied within this trial.

metabolic disease

metabolic disease

Intervention Type OTHER

Eligibility Criteria

Check the participation requirements, including inclusion and exclusion rules, age limits, and whether healthy volunteers are accepted.

Inclusion Criteria

* Patients who underwent brain PET-CT in Sun Yat-sen Memorial Hospital from January 2018 to June 2024

Exclusion Criteria

* Brain lesions, including patients with brain atrophy, cerebral ischemia and trauma, epilepsy, brain tumors, brain trauma, and psychiatric disorders; Patients with missing medical history or brain imaging data; Patients with tumor.
Minimum Eligible Age

18 Years

Maximum Eligible Age

90 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

Yes

Sponsors

Meet the organizations funding or collaborating on the study and learn about their roles.

Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University

OTHER

Sponsor Role lead

Responsible Party

Identify the individual or organization who holds primary responsibility for the study information submitted to regulators.

Responsibility Role SPONSOR

Locations

Explore where the study is taking place and check the recruitment status at each participating site.

Sun Yat-Sen Memorial Hospital

Guangzhou, , China

Site Status

Countries

Review the countries where the study has at least one active or historical site.

China

Other Identifiers

Review additional registry numbers or institutional identifiers associated with this trial.

SYSKY-2024-706-01

Identifier Type: -

Identifier Source: org_study_id