1. Background During the last years, the brain has been identified as a major insulin-sensitive organ . The investigators and also other scientists identified hypothalamus, fusiform gyrus and prefrontal cortex as major insulin-sensitivity brain areas in humans . Brain insulin action regulates important physiological functions in humans such as food intake, body weight regulation, and cognition. Furthermore, animal studies suggest that insulin action specifically in the brain is involved in the control of peripheral glucose metabolism via regulation of the sensitivity to insulin in the rest of the body. Recently, the investigators were able to replicate these findings in humans: The investigators measured whole-body insulin sensitivity in combination with the well-established experimental delivery of human insulin to the brain via an intranasal approach. Peripheral insulin sensitivity was profoundly improved by brain insulin action in lean but not in obese healthy volunteers. What determines the effectiveness of this brain-derived pathway is still unknown. Furthermore, insulin resistance of the brain is linked to neurodegenerative diseases possibly explaining the elevated risk for such diseases in patients with type 2 diabetes. GLP-1 receptor agonists have been shown to acutely modulate appetite- and reward-related brain areas in humans. Research in animals suggest a close interaction between insulin and GLP-1 action especially in homeostatic centers of the hypothalamus. In this context, it is important that GLP-1 sensitivity of the brain is still present in the insulin resistant human brain. The investigators therefore hypothesized that GLP-1 agonists are able to improve insulin sensitivity of the brain; this might be one mechanism how GLP-1 agonists lead to weight loss and improved glucose metabolism. This might also have beneficial implications for cognitive function. However, at present, there are no human studies examining the effect of a GLP-1 agonist on brain activity and especially insulin action in the brain in patients with type 2 diabetes mellitus (T2D). Furthermore, there is no study in humans examining the effect of newly initiated insulin therapy on brain activity and especially insulin action in the brain in patients with T2D. 2. Rationale Based on the close interplay between hypothalamic insulin and GLP-1 signalling, the investigators hypothesize that the antidiabetic therapy with insulin glargine/lixisenatide combination (iGlarLixi) induces improved hypothalamic and prefrontal insulin sensitivity compared to a therapy with insulin glargine alone. This could underlay iGlarLixi's beneficial effects on body weight and whole-body glucose homeostasis. 3. Objective To assess whether treatment with iGlarLixi versus insulin glargine changes brain regional insulin sensitivity and thereby glucose metabolism, eating behaviour, and cognition in patients with type 2 diabetes insufficiently controlled with oral antidiabetic drugs (OAD).
Study Type
INTERVENTIONAL
Allocation
RANDOMIZED
Purpose
BASIC_SCIENCE
Masking
NONE
Enrollment
1
Dose titration will be done based on the subjects fasting blood glucose
Dose titration will be done based on the subjects fasting blood glucose
University of Tuebingen, Department of Internal Medicine IV
Tübingen, Germany
Brain insulin sensitivity
Effect of 12 weeks treatment with iGlarLixi or Glargine on brain insulin sensitivity assessed by functional magnetic resonance imaging (fMRI) as change in regional cerebral blood flow (rCBF) from before to 30 minutes after nasal insulin spray application.
Time frame: Change from baseline brain insulin sensitivity at 12 weeks
Processing of food pictures
Effect of 12 weeks treatment with iGlarLixi or Glargine on resting state brain activity and on brain response to food pictures and control pictures as assessed by functional magnetic resonance imaging.
Time frame: Change from baseline processing of food pictures at 12 weeks
Cognitive function
Effect of 12 weeks treatment with iGlarLixi or Glargine on cognitive function assessed by established Motor Screening Task (MOT). Outcome measures: assess the participant's speed of response and the accuracy of pointing. It is part of Cambridge Neuropsychological Test Automated Battery (CANTAB) to assess neurocognition. All CANTAB tests are evaluated together.
Time frame: Change from baseline participant's speed of response and the accuracy of pointing at 12 weeks
Cognitive function
Effect of 12 weeks treatment with iGlarLixi or Glargine on cognitive function assessed by established Reaction Time (RTI). Outcome measures: Reaction time and movement time for both the simple and five-choice variants. It is part of Cambridge Neuropsychological Test Automated Battery (CANTAB) to assess neurocognition. All CANTAB tests are evaluated together.
Time frame: Change from baseline reaction time and movement time at 12 weeks
Cognitive function
Effect of 12 weeks treatment with iGlarLixi or Glargine on cognitive function assessed by established Rapid Visual Information Processing (RVP). Outcome measures: Latency (speed of response), probability of false alarms and sensitivity. It is part of Cambridge Neuropsychological Test Automated Battery (CANTAB) to assess neurocognition. All CANTAB tests are evaluated together.
Time frame: Change from baseline latency, probability of false alarms and sensitivity at 12 weeks
Cognitive function
Effect of 12 weeks treatment with iGlarLixi or Glargine on cognitive function assessed by established Paired Associates Learning (PAL). Outcome measures: Errors made by the participant, the number of trials required to locate the pattern(s) correctly, memory scores and stages completed. It is part of Cambridge Neuropsychological Test Automated Battery (CANTAB) to assess neurocognition. All CANTAB tests are evaluated together.
Time frame: Change from errors made by the participant, the number of trials required to locate the pattern(s) correctly, memory scores and stages completed baseline at 12 weeks
Cognitive function
Effect of 12 weeks treatment with iGlarLixi or Glargine on cognitive function assessed by established Spatial Working Memory (SWM). Outcome measures: errors (selecting boxes that have already been found to be empty and revisiting boxes which have already been found to contain a token) and strategy. It is part of Cambridge Neuropsychological Test Automated Battery (CANTAB) to assess neurocognition. All CANTAB tests are evaluated together.
Time frame: Change from baseline errors and strategy at 12 weeks
Cognitive function
Effect of 12 weeks treatment with iGlarLixi or Glargine on cognitive function assessed by established Pattern Recognition Memory (PRM). Outcome measures: Number and percentage of correct trials and latency (speed of participant's response) It is part of Cambridge Neuropsychological Test Automated Battery (CANTAB) to assess neurocognition. All CANTAB tests are evaluated together.
Time frame: Change from baseline number and percentage of correct trials and latency at 12 weeks
Cognitive function
Effect of 12 weeks treatment with iGlarLixi or Glargine on cognitive function assessed by established Delayed Matching to Sample (DMS). Outcome measures: Latency (the participant's speed of response), the number of correct patterns selected and a statistical measure giving the probability of an error after a correct or incorrect response. It is part of Cambridge Neuropsychological Test Automated Battery (CANTAB) to assess neurocognition. All CANTAB tests are evaluated together.
Time frame: Change from baseline latency, the number of correct patterns selected and a statistical measure giving the probability of an error after a correct or incorrect response at 12 weeks
Glycemic control
Effect of 12 weeks treatment with iGlarLixi or Glargine on glycemic control (HbA1c change from baseline to week 12.
Time frame: Change from baseline glycemic control at 12 weeks
Liver fat content
Will be assessed by liver MR-spectroscopy change from baseline to 12 weeks.Unit: \[%\]
Time frame: Change from baseline body fat distribution at 12 weeks
Total adipose tissue (TAT)
Will be assessed by whole body MRI as change from baseline to 12 weeks. Unit: \[l\]
Time frame: Change from baseline body fat distribution at 12 weeks
Visceral adipose tissue (VAT)
Will be assessed by whole body MRI as change from baseline to 12 weeks. Unit: \[l\]
Time frame: Change from baseline body fat distribution at 12 weeks
Subcutaneous adipose tissue (SCAT)
Will be assessed by whole body MRI as change from baseline to 12 weeks. Unit: \[l\]
Time frame: Change from baseline body fat distribution at 12 weeks
Body fat
Will be assessed by bioelectric impedance analysis (BIA) as change from baseline to 12 weeks. Unit: \[%\]
Time frame: Change from baseline body fat at 12 weeks
Lean body mass
Will be assessed by bioelectric impedance analysis (BIA) as change from baseline to 12 weeks. Unit: \[kg\]
Time frame: Change from baseline body fat at 12 weeks
Body weight
Will be assessed as change from baseline to 12 weeks. Unit \[kg\]
Time frame: Change from baseline body weight at 12 weeks
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