Identification of Probucol as a candidate for combination therapy with Metformin for Type 2 diabetes.
Ranjitha GuttapaduKalyani KorlaSafnaz UkVamseedhar AnnamPurnima AshokNagasuma ChandraPublished in: NPJ systems biology and applications (2023)
Type 2 Diabetes (T2D) is often managed with metformin as the drug of choice. While it is effective overall, many patients progress to exhibit complications. Strategic drug combinations to tackle this problem would be useful. We constructed a genome-wide protein-protein interaction network capturing a global perspective of perturbations in diabetes by integrating T2D subjects' transcriptomic data. We computed a 'frequently perturbed subnetwork' in T2D that captures common perturbations across tissue types and mapped the possible effects of Metformin onto it. We then identified a set of remaining T2D perturbations and potential drug targets among them, related to oxidative stress and hypercholesterolemia. We then identified Probucol as the potential co-drug for adjunct therapy with Metformin and evaluated the efficacy of the combination in a rat model of diabetes. We find Metformin-Probucol at 5:0.5 mg/kg effective in restoring near-normal serum glucose, lipid, and cholesterol levels.
Keyphrases
- type diabetes
- glycemic control
- combination therapy
- cardiovascular disease
- protein protein
- genome wide
- oxidative stress
- end stage renal disease
- chronic kidney disease
- adverse drug
- newly diagnosed
- small molecule
- insulin resistance
- magnetic resonance imaging
- drug induced
- blood glucose
- coronary artery disease
- prognostic factors
- emergency department
- metabolic syndrome
- dna damage
- bone marrow
- magnetic resonance
- fatty acid
- artificial intelligence
- network analysis