MD Simulation Studies for Selective Phytochemicals as Potential Inhibitors against Major Biological Targets of Diabetic Nephropathy.
Mohd Adnan KausarSadaf AnwarWafa Ali EltaybMohammed KuddusFahmida KhatoonAmr Ahmed El-ArabeyAmany Mohammed KhalifaMoattar Raza RizviMohammad Zeeshan NajmLovnish ThakurSubhabrata KarMohnad AbdallaPublished in: Molecules (Basel, Switzerland) (2022)
Diabetes is emerging as an epidemic and is becoming a public health concern worldwide. Diabetic nephropathy is one of the serious complications of diabetes, and about 40% of individuals with diabetes develop diabetic nephropathy. The consistent feature of diabetes and its associated nephropathy is hyperglycemia, and in some cases, hyperamylinemia. Currently, the treatment includes the use of medication for blood pressure control, sugar control, and cholesterol control, and in the later stage requires dialysis and kidney transplantation, making the management of this complication very difficult. Bioactive compounds, herbal medicines, and extracts are extensively used in the treatment and prevention of several diseases, and some are reported to be efficacious in diabetes too. Therefore, in this study, we tried to identify the therapeutic potential of phytochemicals used in in silico docking and molecular dynamic simulation studies using a library of 5284 phytochemicals against the two potential targets of type 2 diabetes-associated nephropathy. We identified two phytochemicals (i.e., gentisic acid and michelalbine) that target human amylin peptide and dipeptidyl peptidase-4, respectively, with good binding affinity. These phytochemicals can be further evaluated using in vitro and in vivo studies for their anti-hyperglycemia and anti-hyperamylinemia effects.
Keyphrases
- diabetic nephropathy
- type diabetes
- cardiovascular disease
- glycemic control
- public health
- blood pressure
- kidney transplantation
- endothelial cells
- molecular dynamics
- machine learning
- chronic kidney disease
- healthcare
- emergency department
- risk factors
- case control
- virtual reality
- small molecule
- skeletal muscle
- blood glucose
- binding protein
- adverse drug
- replacement therapy