Identification of Predictive Biomarkers for Diabetes and Prediabetes

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This team focuses on the identification of biomarkers for type 2 diabetes and prediabetes and is interested in finding markers to predict the occurrence of diabetes in order to prevent it. They use data from the Qatar Biobank to investigate the relationship between diabetes or obesity and the salivary amylase activity.

The team is also investigating the molecular mechanisms that underly the positive effect of the glucagon-like-peptide 1 receptor agonists, such as Exendin-4, on hepatic steatosis and uses whole transcriptome sequencing to study the role of long non-coding RNAs in this effect.

Additionally, in collaboration with experts in machine learning and biostatics, the team also develops risk models for diabetes and prediabetes.

Latest Publications

  • 1- Neyla Al-Akl, Ian R. Thompson, Abdelilah Arredouani. High plasma Salivary α-amylase, but not high AMY1 copy number, associated with low obesity rate in Qatari adults: cross-sectional study. scientific reports, 2020 Oct 21, 10(1), doi: 10.1038/s41598-020-74864-6
  • 2- Mostafa Abbas, Raghvendra Mall, Khaoula Errafii, Abdelkader Lattab, Ehsan Ullah, Halima Bensmail, and Abdelilah Arredouani. Simple risk score to screen for prediabetes: A cross-sectional study from the Qatar Biobank cohort. Journal of Diabetes Investigation, 2020 Oct 19, doi: 10.1111/jdi.13445
  • 3- Olfa Khalifa, Neyla Al-Akl, Khaoula Errafii, and Abdelilah Arredouani. Non-coding RNAs in Non-Alcoholic Fatty Liver Disease: potential diagnosis and prognosis biomarkers. Disease Markers, 2020 Aug 27, doi: 10.1155/2020/8822859
  • 4- Abdelilah Arredouani, Abdoulaye Diane, Namat Khattab , Ilham Bensmail, Imad Aoude, Mohamed Chikri , Ramzi Mohammad, Abdul Badi Abou-Samra, Mohammed Dehbi. DNAJB3 attenuates metabolic stress and promotes glucose uptake by eliciting Glut4 translocation. scientific reports, 2019 Mar 18, 9(1), doi: 10.1038/s41598-019-41244-8