In Vivo and In Silico Studies of the Hepatoprotective Activity of Tert -Butylhydroquinone.
Liseth Rubi Aldaba-MuruatoSandra Sánchez-BarbosaVíctor Hugo Rodríguez-PurataGeorgina Cabrera-CruzEstefany Rosales-DomínguezDaniela Martínez-ValentínYoshio Aldo Alarcón-LópezPablo Aguirre-VidalManuel Alejandro Hernández-SerdaLuis Alfonso Cárdenas-GranadosVíctor Hugo Vázquez-ValadezEnrique AngelesJosé Roberto Macías-PérezPublished in: International journal of molecular sciences (2023)
Tert -butylhydroquinone (TBHQ) is a synthetic food antioxidant with biological activities, but little is known about its pharmacological benefits in liver disease. Therefore, this work aimed to evaluate TBHQ during acute liver damage induced by CCl 4 (24 h) or BDL (48 h) in Wistar rats. It was found that pretreatment with TBHQ prevents 50% of mortality induced by a lethal dose of CCl 4 (4 g/kg, i.p.), and 80% of BDL+TBHQ rats survived, while only 50% of the BDL group survived. Serum markers of liver damage and macroscopic and microscopic (H&E staining) observations suggest that TBHQ protects from both hepatocellular necrosis caused by the sublethal dose of CCl 4 (1.6 g/kg, i.p.), as well as necrosis/ductal proliferation caused by BDL. Additionally, online databases identified 49 potential protein targets for TBHQ. Finally, a biological target candidate (Keap1) was evaluated in a proof-of-concept in silico molecular docking assay, resulting in an interaction energy of -5.5491 kcal/mol, which was higher than RA839 and lower than monoethyl fumarate (compounds known to bind to Keap1). These findings suggest that TBHQ increases the survival of animals subjected to CCl 4 intoxication or BDL, presumably by reducing hepatocellular damage, probably due to the interaction of TBHQ with Keap1.
Keyphrases
- molecular docking
- oxidative stress
- liver injury
- liver fibrosis
- protein protein
- drug induced
- molecular dynamics simulations
- rheumatoid arthritis
- social media
- healthcare
- liver failure
- cardiovascular disease
- small molecule
- coronary artery disease
- machine learning
- health information
- human health
- high throughput
- risk factors
- artificial intelligence
- free survival
- ankylosing spondylitis
- flow cytometry
- disease activity