The Effect of Lysulin on Glycemic Control and Advanced Glycation

Overview

The primary objective is to determine whether 12 weeks of treatment with Lysulin, compared to placebo, causes a reduction from baseline in the plasma levels of glucose, hemoglobin A1c (HbA1c) and Advanced Glycation Endproducts (AGEs) in patients with inadequately controlled type 2 diabetes mellitus. Secondary objectives include determining whether 12 weeks of treatment with Lysulin increases beta-cell function as measured by plasma C-peptide levels.

Objective(s): The primary objective is to determine whether 12 weeks of treatment with Lysulin, compared to placebo, causes a reduction from baseline in the plasma levels of glucose, hemoglobin A1c (HbA1c) and Advanced Glycation Endproducts (AGEs) in patients with inadequately controlled type 2 diabetes mellitus. Secondary objectives include determining whether 12 weeks of treatment with Lysulin increases beta-cell function as measured by plasma C-peptide levels. Research Plan: A randomized, prospective, double-blind study with randomization to lysulin and placebo in a 1:1 fashion. The study will enroll 60 patients with inadequately controlled type 2 diabetes. Methods: The study will be performed as outpatient study at Phoenix VA Clinical Research Center. The study will include 3-4 visits. At the initial visit, participants will complete informed consent proc HbA1c ≥ 7.5 % and \< 10%ess and undergo screening examination. Inclusion criteria will be age 21-75 years, HbA1c ≥ 7.5 % and \< 10%, and stable dose of insulin 6 weeks prior to enrollment. Qualified participants will be randomized to 3,330 mg/day Lysulin (1,110 mg tbl, TID) as add-on supplement therapy for 12 weeks. Follow-up visits will be at weeks 6 and week 12 (end of study). Baseline and follow-up visits will include physical examination, patient history and blood draw. The primary study outcome measure will be fasting plasma glucose and HbA1c. Secondary outcome measures will include fasting plasma C-peptide and AGE concentrations. A linear mixed effects model will be used to evaluate treatment-induced endpoints. The models will be fit for sequential values of the response variable (including the baseline measurement).

Conditions

Interventions

Eligibility

Locations (2)

Outcomes