Mazdutide
DrugAdministered subcutaneous (SC)
Other names: LY3305677
NCT Number: NCT06124807
The main purpose of this study, performed under a master protocol W8M-MC-CWMM (NCT06143956), is to investigate weight management efficacy and safety with Mazdutide compared with placebo and in adult participants with obesity or overweight. The study will last about 62 weeks.
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Notify Me18 year–75 year
All sexes
Interventional
Phase 2
The Institute for Liver Health II dba Arizona Clinical Trials - Mesa, Chandler, Arizona, United States
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
W8M-MC-OXA1:
W8M-MC-CWMM:
Exclusion criteria
W8M-MC-OXA1:
Note: If the investigator anticipates a need to add antihypertensive medication during the study, the participant should not be included in the ambulatory blood pressure monitoring (ABPM) procedures.
CWMM:
Administered subcutaneous (SC)
Other names: LY3305677
Administered SC
Time frame: Baseline, Week 32
Least squares means were calculated using an MMRM model for post-baseline measures: Variable = Baseline*Time + Strata*Time + Treatment*Time, where Treatment and Strata are factors. Variance-Covariance structure (Percent Change from Baseline) = Unstructured. Strata is defined by joint levels of Sex and Baseline BMI (<=30, >30 kg/m^2).
Time frame: Baseline, Week 48
Least squares means were calculated using an MMRM model for post-baseline measures: Variable = Baseline*Time + Strata*Time + Treatment*Time, where Treatment and Strata are factors. Variance-Covariance structure (Percent Change from Baseline) = Unstructured. Strata is defined by joint levels of Sex and Baseline BMI (<=30, >30 kg/m^2).
Time frame: Baseline, Week 32, Week 48
Least squares means were calculated using an MMRM model for post-baseline measures: Variable = Baseline*Time + Strata*Time + Treatment*Time, where Treatment and Strata are factors. Variance-Covariance structure (Change from Baseline) = Unstructured. Strata is defined by joint levels of Sex and Baseline BMI (<=30, >30 kg/m^2).
Time frame: Baseline, Week 32, Week 48
Mean percentage of participants who achieve ≥5% body weight reduction was calculated using imputed data with the logistic regression model Variable = Baseline + Treatment + Strata (Sex), where Treatment and Strata (Sex) are factors. Mean percentage of participants was calculated by combining percentage of participants achieving target at week 32 and week 48 respectively in imputed data sets using Rubin's rule.
Time frame: Baseline, Week 32, Week 48
Mean percentage of participants who achieve ≥10% body weight reduction was calculated using imputed data with the logistic regression model Variable = Baseline + Treatment + Strata (Sex), where Treatment and Strata (Sex) are factors. Mean percentage of participants was calculated by combining percentage of participants achieving target at week 32 and week 48 respectively in imputed data sets using Rubin's rule.
Time frame: Baseline, Week 32, Week 48
Least squares means were calculated using an MMRM model for post-baseline measures: Variable = Baseline*Time + Strata*Time + Treatment*Time, where Treatment and Strata are factors. Variance-Covariance structure (Change from Baseline) = Unstructured. Strata is defined by joint levels of Sex and Baseline BMI (<=30, >30 kg/m^2).
Time frame: Baseline up to week 56
Blood samples were tested to determine if a participant reacted to Mazdutide by producing anti-Mazdutide antibodies. A participant is TE ADA evaluable if there is at least one non-missing test result for ADA for each of the baseline period and the postbaseline period. A TE ADA evaluable participant is considered to be TE ADA+ if the participant has at least one postbaseline titer that is a 4-fold or greater increase in titer from baseline measurement. If baseline result is ADA Not Present, then the subject is TE ADA+ if there is at least one postbaseline result of ADA Present with titer >=1:20.
Time frame: Predose at Week 0, Week 4, Week 8, Week 12, Week 24, Week 32, Week 48; Post dose (2 to 6 hours after dosing) at Week 0, Week 12, Week 24
PK samples were analyzed using a population PK approach to estimate AUC at steady state. Data presented are Geometric mean with 90% prediction interval.
Time frame: Predose at Week 0, Week 4, Week 8, Week 12, Week 24, Week 32, Week 48; Post dose (2 to 6 hours after dosing) at Week 0, Week 12, Week 24
PK samples were analyzed using a population PK approach to estimate Cmax at steady state. Data presented are Geometric mean with 90% prediction interval.
Time frame: Baseline, Week 32, Week 48
Least squares means were calculated using an MMRM model for post-baseline measures: log(Actual Measurement/Baseline) = Treatment*Time + log(Baseline)*Time + Strata*Time, where Treatment and Strata are factors. Variance-Covariance structure (Change from Baseline) = Unstructured. Strata is defined by joint levels of Sex and Baseline BMI (<=30, >30 kg/m^2).
Time frame: Baseline, Week 32, Week 48
Least squares means were calculated using an MMRM model for post-baseline measures: log (Actual Measurement/Baseline) = Treatment*Time + log (Baseline)*Time + Strata*Time, where Treatment and Strata are factors. Variance-Covariance structure (Change from Baseline) = Unstructured. Strata is defined by joint levels of Sex and Baseline BMI (<=30, >30 kg/m^2).
Time frame: Baseline, Week 32, Week 48
Least squares means were calculated using an MMRM model for post-baseline measures: log (Actual Measurement/Baseline) = Treatment*Time + log (Baseline)*Time + Strata*Time, where Treatment and Strata are factors. Variance-Covariance structure (Change from Baseline) = Unstructured. Strata is defined by joint levels of Sex and Baseline BMI (<=30, >30 kg/m^2).
Time frame: Baseline, Week 32, Week 48
Least squares means were calculated using an MMRM model for post-baseline measures: log (Actual Measurement/Baseline) = Treatment*Time + log (Baseline)*Time + Strata*Time, where Treatment and Strata are factors. Variance-Covariance structure (Change from Baseline) = Unstructured. Strata is defined by joint levels of Sex and Baseline BMI (<=30, >30 kg/m^2).
Time frame: Baseline, Week 32, Week 48
mean Percentage of participants with baseline liver fat content (LFC) >= 5% who achieved >30% relative reduction in LFC was estimated using imputed data with the logistic regression model Variable = Baseline + Treatment + Strata (Sex), where Treatment and Strata (Sex) are factors. Mean percentage of participants was calculated by combining percentage of participants achieving target at week 32 and week 48 respectively in imputed data sets using Rubin's rule.
Time frame: Baseline, Week 32, Week 48
Mean Percentage of participants with baseline liver fat content (LFC) >=10% who achieved >30% relative reduction in LFC was estimated using imputed data with the logistic regression model Variable = Baseline + Treatment + Strata (Sex), where Treatment and Strata (Sex) are factors. Mean percentage of participants was calculated by combining percentage of participants achieving target at week 32 and week 48 respectively in imputed data sets using Rubin's rule.
Eli Lilly and Company
Industry
A Phase 2, Parallel-Group, Double-Blind, 4-Arm Study to Investigate Weight Management With LY3305677 Compared With Placebo and in Adult Participants With Obesity or Overweight
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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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