The Application Arbutin in Elimination Resistance of Antibiotics Against Gramm-Negative Multi-Drug Resistance Bacteria of Acinetobacter baumanni and Klebsiella pneumoniae

The purpose of our work was investigate in vitro and in silico elimination resistance of antibiotics against clinical multidrug-resistant strains of A. baumani, K. pneumonia by arbutin. The molecular docking was performed using AutoDockTools 1.5.6; antimicrobial effects were evaluated by the well method. Theoretical studies have found that none of the investigated antibiotics and arbutin highly selectively inhibits all "targets" mechanisms of antimicrobial action. In experimental studies, it was observed that the addition of arbutin to the antibiotic led to the emergence of sensitivity on the part of resistant strains. All Gramm-negative resistance strains of bacteria were sensitive to the action of arbutin. Moreover, arbutin increased the antimicrobial effect of antibiotics from 8 to 55%. It was estimated exceptions such as clarithromycin and azithromycin when assessing antimicrobial activity against A. baumani and P. aeruginosa. These studies haves shown that to inhibit resistant strains of bacteria, require the use of combinations of “classical” antimicrobials and herbal drugs or dietary supplements based on extracts obtained from arbutin-containing medicinal plants such as lingonberry, bearberry, and cranberry. This approach is a “lifeline” for the development of antimicrobial agents against resistant bacteria and gives “a second chance to return to life” for outdated antibiotics.

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Journal
INDONESIAN JOURNAL OF PHARMACY
Published
2025-06-23
DOI
https://doi.org/10.22146/ijp.13966
Primary Topic
Computational Drug Discovery Methods
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article
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article

The Application Arbutin in Elimination Resistance of Antibiotics Against Gramm-Negative Multi-Drug Resistance Bacteria of Acinetobacter baumanni and Klebsiella pneumoniae

Oleh Коshovyi, O. Yu. Maslov, А. Н. Комиссаренко, Tetiana Osolodchenko et al.
INDONESIAN JOURNAL OF PHARMACY
Computational Drug Discovery Methods
article

The Application Arbutin in Elimination Resistance of Antibiotics Against Gramm-Negative Multi-Drug Resistance Bacteria of Acinetobacter baumanni and Klebsiella pneumoniae

Oleh Коshovyi, O. Yu. Maslov, А. Н. Комиссаренко, Tetiana Osolodchenko, Artem Marchenko, M. A. Komisarenko, Svitlana Ponomarenko, Sergii Kolisnyk
article en

Abstract

The purpose of our work was investigate in vitro and in silico elimination resistance of antibiotics against clinical multidrug-resistant strains of A. baumani, K. pneumonia by arbutin. The molecular docking was performed using AutoDockTools 1.5.6; antimicrobial effects were evaluated by the well method. Theoretical studies have found that none of the investigated antibiotics and arbutin highly selectively inhibits all "targets" mechanisms of antimicrobial action. In experimental studies, it was observed that the addition of arbutin to the antibiotic led to the emergence of sensitivity on the part of resistant strains. All Gramm-negative resistance strains of bacteria were sensitive to the action of arbutin. Moreover, arbutin increased the antimicrobial effect of antibiotics from 8 to 55%. It was estimated exceptions such as clarithromycin and azithromycin when assessing antimicrobial activity against A. baumani and P. aeruginosa. These studies haves shown that to inhibit resistant strains of bacteria, require the use of combinations of “classical” antimicrobials and herbal drugs or dietary supplements based on extracts obtained from arbutin-containing medicinal plants such as lingonberry, bearberry, and cranberry. This approach is a “lifeline” for the development of antimicrobial agents against resistant bacteria and gives “a second chance to return to life” for outdated antibiotics.

INDONESIAN JOURNAL OF PHARMACY
China National Pharmaceutical Group Corporation (China) (CN), State Institution "Institute for Children and Adolescents Health Care at the National Academy of Medical Sciences of Ukraine" (UA), National University of Pharmacy (UA), Institute of Neurology, Psychiatry and Narcology (UA), University of Tartu (EE)
Openalex Percentile: Top 75%
Computational Drug Discovery Methods
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