To achieve the three specific goals described above, the following specific activities have been performed within PROCEED, and we made the following main achievements.
i) Within PROCEED, we have been working on validating and optimizing blood-based epigenetic markers that predict glycemic response to metformin in newly diagnosed people with type 2 diabetes, using larger cohorts than in our discovery study. We have also been developing a pharmacoepigenetic tool for clinical use.
To achieve this goal we have selected 960 DNA samples from blood from newly diagnosed individuals with diabetes, which have clinical follow up data regarding glycemia (HbA1c), BMI and medication (metformin). Based on the clinical data we could select responders and non-responders to metformin. DNA samples from these 960 people have been pipetted to the correct format for DNA methylation for analysis using Infinium EPICv2 chips from Illumina. Within proceed, we have also developed the bioinformatic pipeline to analyze the methylation data from the recently developed Infinium EPICv2 chips. Within this project, we have also applied for and received permits to analyze the blood samples and to receive and analyze all the clinical data needed for this project. We have performed a procurement process for the company to analyze the samples which is finished.
ii) Within PROCEED, we have finished the randomized clinical trial, SMARTEST, where patients with type 2 diabetes were randomized to treatment with either metformin or SGLT2-inhibitors, and blood samples and clinical data were collected at baseline and during follow-up of the study. All the blood samples for DNA methylation analyses and the clinical data for 500 participants within SMARTEST are available and are compared with the DNA methylation results in aim 1.
iii) To develop the diagnostic tool, we have set up the method to analyze our key DNA methylation data from the EPIVv2 arrays using pyrosequencing (Qiagen, available in our lab). Thereby making it possible to easily analyze the optimized biomarkers in a clinical setting.