Effects of LY2189265 on Glycemic Control in Participants With Type 2 Diabetes

Least Squares (LS) means were calculated using mixed model repeated measures (MMRM) with pre-study therapy, country, dose, visit, and dose-by-visit interaction as fixed effects and baseline glycosylated hemoglobin (HbA1c) as covariate.

Fasting blood glucose is a test to determine how much glucose (sugar) is in a blood sample after an overnight fast. Least Squares (LS) means were calculated using mixed model repeated measures (MMRM) with pre-study therapy, country, dose, visit, and dose-by-visit interaction as fixed effects and baseline fasting glucose as covariate.

Percentages of participants who achieved glycosylated hemoglobin (HbA1c) levels of \<7.0% or ≤6.5% were compared across treatment arms using the Cochran-Armitage trend test.

Change from baseline in mean daily blood glucose values were measured with a 7-point self-monitored blood glucose (SMBG) profile over a 24-hour period in the 7-day period prior to each visit. The 7-point SMBG profile consisted of preprandial blood glucose measures before the morning, midday, and evening meals; blood glucose measures 2 hours after the start of the morning, midday, and evening meals; and the fasting blood glucose obtained the following morning. Mean at 12 weeks was assessed in all treatment groups. Least Squares (LS) means were calculated using mixed model repeated measures (MMRM) with pre-study therapy, country, dose, visit, and dose-by-visit interaction as fixed effects and as covariate.

Change from baseline in beta (β)-cell function (HOMA2-%B) was assessed by using the homeostatic model assessment (HOMA) to quantify β-cell function. HOMA2-%B is a computer model that uses fasting plasma insulin and glucose concentrations to estimate steady state beta cell function (%B), as a percentage of a normal reference population (normal young adults). The normal reference population was set at 100%. Least Squares (LS) means were calculated using a mixed-effects model for repeated measures (MMRM) with pre-study therapy, country, dose, visit, and dose-by-visit interaction as fixed effects and baseline HOMA2-%B as covariate.

Change from baseline in insulin sensitivity (HOMA2-%S) was assessed by using the homeostatic model assessment (HOMA) to quantify insulin sensitivity. HOMA2-%S is a computer model that uses fasting plasma insulin and glucose concentrations to estimate steady state insulin sensitivity (%S), as a percentage of a normal reference population (normal young adults). The normal reference population was set at 100%. Least Squares (LS) means were calculated using a mixed-effects model for repeated measures (MMRM) with pre-study therapy, country, dose, visit, and dose-by-visit interaction as fixed effects and baseline HOMA2-%S as covariate.

The QT interval is a measure of the time between the start of the Q wave and the end of the T wave and was calculated from electrocardiogram (ECG) data using Fridericia's formula: QTc = QT/RR\^0.33. Corrected QT (QTc) is the QT interval corrected for heart rate and RR, which is the interval between two R waves. The PR segment begins at the endpoint of the P wave and ends at the onset of the QRS complex. Least Squares (LS) means were calculated using a mixed-effects model for repeated measures (MMRM) with pre-study therapy, country, dose, visit, and dose-by-visit interaction as fixed effects and baseline measurement as covariate.

Least Squares (LS) means were calculated using a mixed-effects model for repeated measures (MMRM) with pre-study therapy, country, dose, visit, and dose-by-visit interaction as fixed effects and baseline measurement as covariate.

Sitting pulse rate was measured. Least Squares (LS) means were calculated using a mixed-effects model for repeated measures (MMRM) with pre-study therapy, country, dose, visit, and dose-by-visit interaction as fixed effects and baseline measurement as covariate.

Sitting systolic blood pressure (SBP) and sitting diastolic blood pressure (DBP) were measured. Least Squares (LS) means of change were calculated using a mixed-effects model for repeated measures (MMRM) with pre-study therapy, country, dose, visit, and dose-by-visit interaction as fixed effects and baseline measurement as covariate.

Hypoglycemic events were classified as severe (defined as episodes requiring the assistance of another person to actively administer resuscitative actions), documented symptomatic (defined an event during which typical symptoms of hypoglycemia were accompanied by a blood glucose level of ≤3.9 millimoles per liter \[mmol/L\]), asymptomatic (defined as events not accompanied by typical symptoms of hypoglycemia but with a measured blood glucose of ≤3.9 mmol/L), or nocturnal (defined as any hypoglycemic event that occurred between bedtime and breakfast with a measured blood glucose of ≤3.9 mmol/L). Participant reports of hypoglycemic events were collected at the beginning of each visit starting at Baseline. A summary of serious and other non-serious adverse events regardless of causality is located in the Reported Adverse Events module.

Hypoglycemic events (HE) were classified as severe (defined as events requiring the assistance of another person to actively administer resuscitative actions), documented symptomatic (defined an event during which typical symptoms of hypoglycemia were accompanied by a blood glucose level of ≤3.9 millimoles per liter \[mmol/L\]), asymptomatic (defined as events not accompanied by typical symptoms of hypoglycemia but with a measured blood glucose of ≤3.9 mmol/L), or nocturnal (defined as any HE that occurred between bedtime and breakfast with a measured blood glucose of ≤3.9 mmol/L). Participant reports of HE were collected at the beginning of each visit starting at Baseline and the annualized rate was reported. Least Squares (LS) means rates were adjusted for pre-study therapy, country, and baseline body mass index. A summary of AEs regardless of causality is located in the Reported AEs module. Some model-adjusted LS means are less than 0 and may be interpreted as very low rates.

A treatment emergent adverse event is any untoward medical occurrence that either occurs or worsens at any time after the first injection of study drug following randomization and which does not necessarily have to have a causal relationship. The number of participants with one or more treatment emergent adverse event was reported. A summary of serious and other non-serious adverse events regardless of causality is located in the Reported Adverse Events module.

Least Squares (LS) means was calculated using a mixed-effects model for repeated measures (MMRM) with pre-study therapy, country, dose, visit, and dose-by-visit interaction as fixed effects and baseline measurement as covariate.

LY2189265 anti-drug antibodies (ADA) were assessed at baseline, 4 and 12 weeks, and at the safety follow-up visit 4 weeks after study drug discontinuation (16 weeks). The number of participants with initial postbaseline detection of treatment emergent (defined as a 4-fold increase in the ADA titer from baseline) LY2189265 ADA at each time point were summarized.

The population mean estimates and standard deviations were calculated for pharmacokinetic parameters (area under the concentration time curve (AUC) from zero to 168 hours). Evaluable PK concentrations from the 4 week, 8 week, and 12 week timepoints were combined and utilized in a population approach to determine the population mean estimate and standard deviation at steady-state.