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NCT Number: NCT07589322

Comparative Observation of Metabolic and Pharmacologic Adipose Remodeling With Enhanced Incretin AgonisTs

This randomized, open label, head to head clinical trial directly compares tirzepatide and semaglutide in adults with obesity and metabolic syndrome (N=120, age 20-65, 1:1 randomization). Participants undergo deep phenotyping at baseline, 6 months, and 12 months, including DXA (regional fat, lean mass, and BMD), MRI PDFF (liver fat), 7 site skinfold thickness, grip strength, fasting biochemistry, and AI processed 12 lead ECGs. Centralized biobanking of serum, plasma, and PBMCs enables targeted and discovery multi omic analyses.

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Key information

Age range

20 year–65 year

Sex eligibility

All sexes

Study type

Interventional

Phase

Not applicable

Primary location

Tri-Service General Hospital

Taipei, 114202, Taiwan

Location status: Recruiting

Location contact

Feng-Chih Kuo, M.D., Ph.D.

CONTACT

[email protected]

886-2-87923311 ext. 12687

About this study

This study is a single-center, randomized, open-label, active-comparator trial designed to characterize the differential effects of tirzepatide and semaglutide on adipose tissue biology and cardiometabolic remodeling over 12 months in adults with obesity and metabolic syndrome. The trial integrates pharmacologic weight-loss therapy with multimodal phenotyping to quantify changes across body composition, hepatic steatosis, metabolic biomarkers, functional strength, and AI-derived electrophysiologic signatures.

The scientific premise is that incretin-based therapies may produce qualitatively distinct patterns of fat loss, ectopic fat mobilization, and cardiometabolic improvement. Tirzepatide, a dual GIP/GLP-1 receptor agonist, may induce greater reductions in visceral adiposity and hepatic fat compared with GLP-1 receptor agonism alone. This trial is designed to directly compare these mechanistic profiles using harmonized imaging, biochemical, and digital phenotyping platforms.

Participants are randomized 1:1 to tirzepatide or semaglutide using a computer-generated permuted block scheme stratified by sex and baseline BMI category. Both interventions follow standard titration schedules and are paired with structured lifestyle counseling to ensure comparable background care. Study visits occur at baseline, 3, 6, and 12 months, with deep phenotyping at baseline, 6, and 12 months.

The phenotyping framework emphasizes regional adiposity, lean mass preservation, hepatic steatosis, and cardiometabolic risk signatures. Whole-body DXA provides quantification of total and regional fat and lean mass, enabling derivation of fat-to-lean mass loss ratios and redistribution indices. Abdominal MRI with proton density fat fraction (PDFF) quantifies liver fat content and abdominal fat compartments. Functional and behavioral assessments-including grip strength and the Chinese version of the Weight-Related Eating Questionnaire-characterize changes in physical function and eating behavior patterns over time.

Fasting biochemical panels measure glycemic indices, lipid metabolism, inflammation, renal and hepatic function, and cardiometabolic biomarkers. Standard 12-lead ECGs are processed through a validated AI pipeline to generate electrophysiologic risk features (e.g., predicted ASCVD risk, ECG-derived heart age), which serve as exploratory digital biomarkers.

A centralized biobanking program supports mechanistic analyses. Serum, plasma, and PBMCs collected at each deep-phenotyping visit are stored under standardized SOPs for targeted and discovery-based metabolomic, proteomic, epigenetic and transcriptomic analyses. These biospecimens will enable downstream investigation of molecular pathways underlying differential treatment responses.

Together, this integrated platform allows for a comprehensive comparison of tirzepatide and semaglutide across structural, metabolic, functional, and molecular domains, providing mechanistic insight into how incretin-based therapies remodel adipose tissue and cardiometabolic physiology.

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

  • Age 20-65 years.
  • BMI ≥27 kg/m² with metabolic syndrome (ATP III or IDF criteria).
  • Stable background medications (antihypertensives, statins, etc.) for ≥3 months.
  • Able and willing to provide informed consent and comply with study procedures.

Exclusion criteria

  • History of diabetes; history of pancreatitis; personal/family history of medullary thyroid carcinoma or MEN2.
  • eGFR <30 mL/min/1.73 m², decompensated liver disease, NYHA class III-IV heart failure.
  • Recent (<3 months) acute coronary syndrome, stroke, or coronary revascularization.
  • Current use of GLP 1RA, tirzepatide, or other incretin based therapies within 3 months.
  • Contraindications to MRI or DXA (e.g., metal implants incompatible with MRI, pregnancy).

Treatment and study plan

Tirzepatide with lifestyle modification

Drug

Starting at Tirzepatide 2.5 mg weekly and escalated as tolerated to 10 mg along with standardized lifestyle counseling by a dietitian (caloric deficit, physical activity guidance) and written materials.

Semaglutide with lifestyle modification

Drug

Starting at Semaglutide 0.25 mg weekly and escalated as tolerated to 2.4 mg along with standardized lifestyle counseling by a dietitian (caloric deficit, physical activity guidance) and written materials.

Primary outcomes

  1. Percent change in total body weight from baseline to 6 months.

    Time frame: Baseline to 6 months

  2. Total fat to lean mass loss ratio (DXA derived) from baseline to 6 months.

    Time frame: Baseline to 6 months

  3. Change in metabolic syndrome severity Z score from baseline to 6 months.

    Time frame: Baseline to 6 months.

Secondary outcomes

  1. Change in waist circumference (cm)

    Time frame: Baseline to 6 months and 12 months

  2. Change in waist-to-hip ratio (unitless ratio)

    Time frame: Baseline to 6 months and 12 months.

  3. Change in regional fat mass measured by DXA (grams)

    Time frame: Baseline to 6 months and 12 months.

  4. Change in regional lean mass measured by DXA (grams)

    Time frame: Baseline to 6 months and 12 months

  5. Change in 7-site skinfold thickness (mm)

    Time frame: Baseline to 6 months and 12 months.

  6. Change in liver fat content measured by MRI-PDFF (percentage, %PDFF)

    Time frame: Baseline to 6 months and 12 months

  7. Change in abdominal visceral fat volume (mL)

    Time frame: Baseline to 6 months and 12 months

  8. Change in abdominal subcutaneous fat volume (mL)

    Time frame: Baseline to 6 months and 12 months

  9. Change in systolic and diastolic blood pressure (mmHg)

    Time frame: Baseline to 6 months and 12 months

  10. Change in fasting lipid profile (mg/dL)

    Time frame: Baseline to 6 months and 12 months

    Lipid profile includes total cholesterol, LDL-C, HDL-C and Triglycerides

  11. Change in fasting glucose (mg/dL)

    Time frame: Baseline to 6 and 12 months

  12. Change in hsCRP (mg/L)

    Time frame: Baseline to 6 and 12 months

  13. Change in insulin sensitivity (HOMA-IR, unitless)

    Time frame: Baseline to 6 and 12 months

  14. Change in β-cell function (HOMA-β, percentage, %)

    Time frame: Baseline to 6 and 12 months

  15. Change in AI-ECG predicted ASCVD risk score (percentage, %)

    Time frame: Baseline to 6 and 12 months

  16. Change in ECG-derived heart age (years)

    Time frame: Baseline to 6 and 12 months

  17. Change in AI-ECG diabetes risk index (HbA1c, percentage, %)

    Time frame: Baseline to 6 and 12 months

  18. Change in estimated 10-year ASCVD risk (percentage, %)

    Time frame: Baseline to 6 and 12 months

  19. Change in bone mineral density (g/cm²)

    Time frame: Baseline to 6 and 12 months

  20. Change in serum P1NP (ng/mL)

    Time frame: Baseline to 6 and 12 months

  21. Change in serum CTX-1 (ng/mL)

    Time frame: Baseline to 6 and 12 months

  22. Change in fasting plasma metabolomics profile (relative abundance units)

    Time frame: Baseline to 6 and 12 months

  23. Change in fasting plasma proteomics profile (relative abundance units)

    Time frame: Baseline to 6 and 12 months

  24. Change in microRNA expression signatures (normalized expression units)

    Time frame: Baseline to 6 and 12 months

  25. Change in RNA-seq transcriptomic signatures (normalized counts, e.g., TPM)

    Time frame: Baseline to 6 and 12 months

  26. Change in epigenetic methylation signatures (Methylation, percentage, %)

    Time frame: Baseline to 6 and 12 months

  27. Change in depressive symptoms (scale score)

    Time frame: Baseline to 6 and 12 months

    Instrument: e.g., PHQ-9

  28. Change in sleep quality (scale score)

    Time frame: Baseline to 6 and 12 months

    Instrument: e.g., PSQI

  29. Change in quality of life (scale score)

    Time frame: Baseline to 6 and 12 months

    Instrument: e.g., EQ-5D or SF-36

  30. Change in eating behavior (WREQ-C total and subscale scores)

    Time frame: Baseline to 3, 6, and 12 months

Study contacts

Contact information is provided by the study sponsor or research team.

Feng-Chih Kuo, M.D., Ph.D.

CONTACT

[email protected]

886-2-87923311 ext. 12687

Sponsors and collaborators

Lead sponsor

Tri-Service General Hospital (TSGH)

Other

Collaborators

  • National Science and Technology Council, Taiwan

Registry information

Official study title

Comparative Adipose Tissue and Cardiometabolic System Remodeling by Tirzepatide and Semaglutide: an AI-integrated Multimodal Metabolomics and Translational Mechanistic Study

Acronym: COMPARE-AT

Important dates

Study start
2026
Primary completion
2028
Study completion
2029
First posted
May 15, 2026
Registry last updated
May 15, 2026

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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