Literature DB >> 33393705

Boldine treatment protects acetaminophen-induced liver inflammation and acute hepatic necrosis in mice.

Devaraj Ezhilarasan1,2, Subramanian Raghunandhakumar1.   

Abstract

Drug-induced liver injury (DILI) is a frequent cause responsible for acute liver failure (ALF). Acetaminophen (APAP) is a known hepatotoxin predictably causing intrinsic DILI. At high doses, APAP causes acute liver necrosis and responsible for ALF and liver transplant cases in 50% and 20% of patients, respectively, in the United States alone. Oxidative stress and glutathione depletion are implicated in APAP-induced liver necrosis. Boldine, a plant-derived compound is shown to have promising antioxidant potential. Therefore, this study investigates the protective effect of boldine against APAP-induced acute hepatic necrosis in mice. A single toxic dose of APAP (300 mg/kg b.w. p.o.) was administered in overnight-fasted mice to induce acute liver necrosis. Separately, APAP + boldine and APAP + N-acetylcysteine (NAC) simultaneous treatments were also given. Serum transaminases and reduced glutathione, enzymic antioxidants, tumor necrosis factor-α (TNF-α), interleukin-1β (IL-1β), and, IL-6 were evaluated in liver tissue. Acute APAP intoxication significantly elevated serum marker enzymes of hepatotoxicity. APAP administration increased lipid peroxidation, TNF-α, IL-1β, and IL-6 protein expressions. The enzymic antioxidants and reduced glutathione levels were decreased in liver tissue of APAP intoxicated mice. Boldine and NAC simultaneous treatments prevented APAP-induced oxidative stress, inflammation, and necrosis. The results of this study suggest the crucial role of boldine to protect against APAP induced hepatotoxicity by virtue of its antioxidant and anti-inflammatory properties.
© 2021 Wiley Periodicals LLC.

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Keywords:  acetaminophen; boldine; glutathione; hepatic necrosis

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Year:  2021        PMID: 33393705     DOI: 10.1002/jbt.22697

Source DB:  PubMed          Journal:  J Biochem Mol Toxicol        ISSN: 1095-6670            Impact factor:   3.642


  1 in total

1.  Detection of Synergistic Interaction on an Additive Scale Between Two Drugs on Abnormal Elevation of Serum Alanine Aminotransferase Using Machine-Learning Algorithms.

Authors:  Hayato Akimoto; Takuya Nagashima; Kimino Minagawa; Takashi Hayakawa; Yasuo Takahashi; Satoshi Asai
Journal:  Front Pharmacol       Date:  2022-07-06       Impact factor: 5.988

  1 in total

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