Dr. Mohamed Chikri's Group
The focus of the Dr. Mohamed Chirki's Group is on the prediction and prevention of Type 2 Diabetes, by exploring the role of released non-coding RNAs in the pathogenesis of Diabetes. Current Projects within Dr. Chikri's Group include:
Characterization of circulating miRNAs in insulin sensitive and insulin resistant Qatari Arab individuals:
Insulin resistance is a cardinal feature of type 2 diabetes and insulin resistant individuals are at increased risk of cardiovascular disease. Insulin resistance manifest in skeletal muscle, liver and adipocytes and is accompanied with a compensatory increase in insulin secretion. MicroRNAs (miRNAs) are small non-coding RNAs that have recently been identified for detection of several pathologies in humans. The presence of miRNAs in the extracellular environment has recently been reported in many bodily fluids including serum, saliva, urine, and placental fluid. The aim of the present study is to identify and characterize differentially expressed miRNAs in the plasma of insulin-sensitive and insulin-resistant Qatari Arab individuals. Identification of these miRNAs will allow for development of biomarkers for early detection and for better understanding of pathogenesis of insulin resistance.
An integrative systems genomics approach to uncover drivers of Insulin resistance and Beta Cell dysfunction in Qatari families:
Omics data integration is becoming necessary to investigate the genomic mechanisms involved in complex diseases. During the integration process, many challenges arise such as data heterogeneity. Integrating different omics data types, such as genomics, epigenomics and transcriptomics, may provide a new strategy to discover unknown genomic mechanisms involved in complex diseases. In type 2 diabetes, disease initiation and progression are the consequence of alterations in multiple pathways and biological processes including gene mutations, epigenetic changes, modifications in gene regulation, and environmental influences. Therefore through theses integrative systems genomic approach it is possible to depict a snapshot of the relationship between different –omics data in the healthy state and identify which regions of the network are disrupted in the disease state.
Dr. Mohamed Chikri's Team