Prediabetes is a common condition in overweight individuals affecting approximately 35% of American adults and 30% of Australian adults. Like diabetes, prediabetes is a serious risk factor for cardiovascular disease, eye, kidney and liver disease, and some types of cancer. Appropriate blood glucose control is crucial in preventing pre-diabetes complications and onset of diabetes, yet clinical practice, backed by randomised trials, reports that many patients treated with standard dietary guidelines or with the first-line treatment of diabetes patients, metformin, do not improve blood glucose control sufficiently. The overarching goal of the present project is to improve the efficacy of metformin mono-therapy in pre-diabetes and early type 2 diabetes.
Prediabetes is common in overweight and obese individuals and, as with frank diabetes, it is a risk factor for cardiovascular disease, cognitive dysfunction, fatty liver, kidney, ophthalmic, renal and neuropathic disease, and cancer. Effective management of dysglycemia in pre-diabetes and diabetes and prevention of diabetes in individuals at risk reduce the risk of organ damage and associated co-morbidities and improves the affected individuals' quality of life. Metformin, an oral biguanide, is the first-line treatment of newly-diagnosed type 2 diabetes patients, and the pharmacological choice for preventing diabetes in individuals with pre-diabetes. Metformin is an ideal medication to initiate for diabetes prevention, due to its excellent safety profile (lack of hypoglycemia), neutral to marginally beneficial effect on body weight, evidence of cardio-protection, and low cost. However, clinical practice, backed by randomised clinical trials, suggests that metformin mono-therapy fails to achieve glycemic goals in 20-40% of type 2 diabetes patients and to prevent diabetes in approximately 20% of individuals with pre-diabetes. While the mode of action of metformin is still being investigated, the liver and the gastrointestinal tract are thought to be the main targets responsible for the improvement in glycemia. An increasing body of evidence suggests that the gut microbiota play an important role in obesity, prediabetes and diabetes, and alterations in gut microbial composition have been described in individuals with type 2 diabetes and pre-diabetes. Interestingly, metformin-treated diabetes patients have a "healthier" gut microbial composition compared with treatment-naïve diabetes patients, and changes in gut microbial composition with metformin treatment has been suggested to contribute to the therapeutic effect of the medication. Randomised, clinical study with parallel assignment and single-masking will be performed in treatment-naïve individuals with pre-diabetes or early type 2 diabetes (diagnosed in the last 6 months) aiming to compare the effect of metformin (extended release \[XR\]) 1500 mg/d administered with personalized diet (based on the Weizmann Institute Personalized Nutrition Project) or administered with a healthy (low fat) diet.
Study Type
INTERVENTIONAL
Allocation
RANDOMIZED
Purpose
PREVENTION
Masking
SINGLE
Enrollment
138
Metformin (1500 mg/d, Extended Release) + Healthy, low fat diet
Metformin (1500 mg/d, Extended Release) + Algorithm-based personalized diet
Garvan Institute of Medical Research
Sydney, New South Wales, Australia
Mean change in glycated haemoglobin (HbA1C, %) from baseline
Difference in the reduction of HbA1C between the groups
Time frame: 6 months
Total daily time of interstitial glucose levels below 7.8 mmol/L (140 mg/dL)
Difference in the time (minutes) per day with interstitial glucose measured below 7.8 mmol/L (140 mg/dL) between the groups
Time frame: 6 months
Glycaemic variability
Difference in the glycaemic variability as derived from CGM between the groups
Time frame: 6 months
Body weight
Difference in the magnitude of weight loss between the groups
Time frame: 6 months
Body fat mass
Difference in body fat mass composition as assessed using dual-energy X-ray absorptiometry (DXA) between the groups
Time frame: 6 months
Abdominal visceral fat volume
Difference in the abdominal visceral fat volume as assessed using DXA between the groups
Time frame: 6 months
Serum low-density lipoprotein (LDL)-cholesterol concentration
Difference in serum LDL-cholesterol between the groups
Time frame: 6 months
Serum high-density lipoprotein (HDL)-cholesterol concentration
Difference in serum HDL-cholesterol concentration between the groups
Time frame: 6 months
Serum triglycerides concentration
Difference in serum triglycerides between the groups
Time frame: 6 months
Blood pressure
Difference in diastolic and systolic blood pressure between the groups
Time frame: 6 months
Liver fat
Difference in liver fat measured by the Fibroscan's controlled attenuation parameter (CAP) function between the groups
Time frame: 6 months
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