Determination of Pharmacokinetic and Toxicological Parameters of Some Commonly Used Statin Group Drugs

Yıl 2024, Sayı: 1, 69 - 72, 01.10.2024

Mustafa Tuğfan Bilkan , Çiğdem Bilkan

https://doi.org/10.46810/tdfd.1411970

Öz

Statins work as inhibitors of the HMG-CoA reductase enzyme and are the most commonly prescribed cholesterol-lowering drug group for people with cardiovascular disease or risk. This study aimed to determine the pharmacokinetic parameters and toxicities of conventional and new-generation cholesterol drugs such as atorvastatin, fluvastatin, lovastatin, pravastatin, simvastatin, rosuvastatin and pitavastatin. Absorption, distribution, metabolism, and excretion (ADME) parameters and toxicity predictions of drugs were made using in silico modeling, which gives faster results than animal experiments and does not involve any laboratory costs. In calculations made using structural similarity, compounds' pharmacokinetic properties and toxicity predictions are obtained based on previously known structure-activity data. The study results showed that the toxicity classifications of the drugs were 5 (LD: 5000 mg/kg) for atorvastatin and 6 (LD: 8939 mg/kg) for pravastatin, respectively. The toxicity classes were found to be 4 for all the other statin group drugs. The results showed that pravastatin had the lowest toxicity among investigated cholesterol drugs, while pitavastatin and fluvastatin had the highest toxic effects. Accordingly, it is recommended that the consequences of using pravastatin and atorvastatin, cholesterol drugs with lower toxicity classes, should be investigated more seriously in terms of minimum toxic substance intake for patient groups requiring high doses of medication.

Anahtar Kelimeler

Statin group drugs, Molecular modeling, In silico investigations

Etik Beyan

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Teşekkür

This study was presented as an oral presentation at the "6th International Conference on Life and Engineering Sciences (ICOLES 2023)" conference.

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