Improving the treatment of bacterial infections caused by multidrug-resistant bacteria through drug repositioning

Glajzner, Paulina; Bernat, Agnieszka; Jasińska-Stroschein, Magdalena

doi:10.3389/fphar.2024.1397602

Cited by 3 publications

References 169 publications

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Ultra-high-throughput screening of antimicrobial combination therapies using a two-stage transparent machine learning model

Reuter,

Lev,

Albo

et al. 2024

Preprint

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Here, we present M2D2, a two-stage machine learning (ML) pipeline that identifies promising antimicrobial drug combinations, which are crucial for combating drug resistance. M2D2 addresses key challenges in drug combination discovery by predicting drug synergies using computationally generated drug-protein interaction data, thereby circumventing the need for expensive omics data. The model improves the accuracy of drug target identification using high-throughput experimental and computational methods via feedback between ML stages. The transparent framework of M2D2 provides mechanistic insights into drug interactions and was benchmarked against chemogenomics, transcriptomics, and metabolomics datasets. We experimentally validated M2D2 using high-throughput screening of 946 combinations of Food and Drug Administration (FDA)-approved drugs and antibiotics against Escherichia coli. We discovered synergy between a cerebrovascular drug and a widely used penicillin antibiotic and validated predicted mechanisms of action using genome-wide CRISPR inhibition screens. M2D2 offers a transparent ML tool for rapidly designing combination therapies and guides repurposing efforts while providing mechanistic insights.

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Ultra-high-throughput screening of antimicrobial combination therapies using a two-stage transparent machine learning model

Reuter,

Lev,

Albo

et al. 2024

Preprint

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Antibacterial and Anti-Influenza Activities of N-Heterocyclic Carbene–Gold Complexes

Pellegrino,

Checconi,

Ceramella

et al. 2024

Pharmaceuticals

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Background/Objectives: Infectious diseases represent a serious threat due to rising antimicrobial resistance, particularly among multidrug-resistant bacteria and influenza viruses. Metal-based complexes, such as N-heterocyclic carbene–gold (NHC–gold) complexes, show promising therapeutic potential due to their ability to inhibit various pathogens. Methods: Eight NHC–gold complexes were synthesized and tested for antibacterial activity against Escherichia coli, Enterococcus faecalis, Staphylococcus aureus, and for anti-influenza activity in lung and bronchial epithelial cells infected with influenza virus A/H1N1. Antibacterial activity was assessed through the determination of the minimum inhibitory concentration (MIC) and the minimum bactericidal concentration (MBC), while the viral load was quantified using qRT-PCR. Results: Complexes 3, 4, and 6 showed significant antibacterial activity at concentrations of 10–20 µg/mL. Additionally, these complexes significantly reduced viral load, with complexes 3 and 4 markedly inhibiting replication. Conclusions: These findings support the potential use of NHC–gold complexes in combined antimicrobial and antiviral therapies, representing an attractive option for fighting resistant infections.

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Antimicrobial activities of Diltiazem Hydrochloride: drug repurposing approach

Alduaij,

Hussein,

Abu Alrub

et al. 2024

PeerJ

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Background The growing concern of antibiotic-resistant microbial strains worldwide has prompted the need for alternative methods to combat microbial resistance. Biofilm formation poses a significant challenge to antibiotic efficiency due to the difficulty of penetrating antibiotics through the sticky microbial aggregates. Drug repurposing is an innovative technique that aims to expand the use of non-antibiotic medications to address this issue. The primary objective of this study was to evaluate the antimicrobial properties of Diltiazem HCl, a 1,5-benzothiazepine Ca2+ channel blocker commonly used as an antihypertensive agent, against four pathogenic bacteria and three pathogenic yeasts, as well as its antiviral activity against the Coxsackie B4 virus (CoxB4). Methods To assess the antifungal and antibacterial activities of Diltiazem HCl, the well diffusion method was employed, while crystal violet staining was used to determine the anti-biofilm activity. The MTT (3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide) colorimetric assay was utilized to evaluate the antiviral activity of Diltiazem HCl against the CoxB4 virus. Results This study revealed that Diltiazem HCl exhibited noticeable antimicrobial properties against Gram-positive bacteria, demonstrating the highest inhibition of Staphylococcus epidermidis, followed by Staphylococcus aureus. It effectively reduced the formation of biofilms by 95.1% and 90.7% for S. epidermidis, and S. aureus, respectively. Additionally, the antiviral activity of Diltiazem HCl was found to be potent against the CoxB4 virus, with an IC50 of 35.8 ± 0.54 μg mL−1 compared to the reference antiviral Acyclovir (IC50 42.71 ± 0.43 μg mL−1). Conclusion This study suggests that Diltiazem HCl, in addition to its antihypertensive effect, may also be a potential treatment option for infections caused by Gram-positive bacteria and the CoxB4 viruses, providing an additional off-target effect for Diltiazem HCl.

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Improving the treatment of bacterial infections caused by multidrug-resistant bacteria through drug repositioning

Cited by 3 publications

References 169 publications

Ultra-high-throughput screening of antimicrobial combination therapies using a two-stage transparent machine learning model

Ultra-high-throughput screening of antimicrobial combination therapies using a two-stage transparent machine learning model

Antibacterial and Anti-Influenza Activities of N-Heterocyclic Carbene–Gold Complexes

Antimicrobial activities of Diltiazem Hydrochloride: drug repurposing approach

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