Abstract: Diabetes causes several health risks, including cardiovascular disease, renal failure, neuropathy, and retinopathy. Traditional pharmacological techniques have concentrated on singletarget treatment, but they typically fail to address diabetes pathophysiology pathways. Diabetes disrupts complex signaling, gene expression, and metabolic networks, which our multi-target strategy can better manage. Network pharmacology, a novel systems biology method, targets several biochemical processes and components simultaneously for an effective treatment. It uses bioinformatics, genetics, and computer modeling to explain how the drug-target interactions and predict pharmacological effects on different disease pathways. This method has been used to implement biological networks to uncover therapeutic compounds that affect inflammation, oxidative stress, insulin resistance, and vascular dysfunction molecular targets. Berberine, curcumin, ginseng and many other botanicals can affect many pathways, treating diabetes' metabolic dysfunction and its effects. Network pharmacology helps in medication repurposing, combination therapy development and speeding successful treatments. Determining synergistic effects among drugs or natural ingredients can enhance diabetes treatment. Network pharmacology is intriguing, but it needs good clinical trials to prove its safety and usefulness. In conclusion, network pharmacology can create multi-target medicines to tackle the complex nature of diabetic and their complications, potentially improving and personalizing treatment.
Panneerselvam et al. (Tue,) studied this question.
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