Evaluating the effect of antibiotics sub-inhibitory dose on Pseudomonas aeruginosaquorum sensing dependent virulence and its phenotypes

Aleanizy, Fadilah Sfouq; Alqahtani, Fulwah Yahya; Eltayb, Esra Kamal; Alrumikan, Norah; Almebki, Renad; Alhossan, Abdulaziz; Almangour, Thamer A.; AlQahtani, Hajar

doi:10.1016/j.sjbs.2020.10.040

Cited by 16 publications

(14 citation statements)

References 37 publications

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“…Nevertheless, it is obvious that the continuous, long-term expression of antibiotic resistance-determinants and virulence factors is detrimental for the microorganism’s ability to adapt to environmental changes [ 93 , 94 ]. For example, in chronic infections, where P. aeruginosa establishes long-term persistence in biofilm, the expression of virulence factors is downregulated, to accommodate for the lower metabolic activity in the exopolysaccharide matrix [ 95 ]. QS is one of the principal mechanisms responsible for—among others—the regulation of virulence factor expression and biofilm formation.…”

Section: Discussion Review Of the Literaturementioning

confidence: 99%

No Correlation between Biofilm Formation, Virulence Factors, and Antibiotic Resistance in Pseudomonas aeruginosa: Results from a Laboratory-Based In Vitro Study

et al. 2021

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Pseudomonas aeruginosa (P. aeruginosa) possesses a plethora of virulence determinants, including the production of biofilm, pigments, exotoxins, proteases, flagella, and secretion systems. The aim of our present study was to establish the relationship between biofilm-forming capacity, the expression of some important virulence factors, and the multidrug-resistant (MDR) phenotype in P. aeruginosa. A total of three hundred and two (n = 302) isolates were included in this study. Antimicrobial susceptibility testing and phenotypic detection of resistance determinants were carried out; based on these results, isolates were grouped into distinct resistotypes and multiple antibiotic resistance (MAR) indices were calculated. The capacity of isolates to produce biofilm was assessed using a crystal violet microtiter-plate based method. Motility (swimming, swarming, and twitching) and pigment-production (pyoverdine and pyocyanin) were also measured. Pearson correlation coefficients (r) were calculated to determine for antimicrobial resistance, biofilm-formation, and expression of other virulence factors. Resistance rates were the highest for ceftazidime (56.95%; n = 172), levofloxacin (54.97%; n = 166), and ciprofloxacin (54.64%; n = 159), while lowest for colistin (1.66%; n = 5); 44.04% (n = 133) of isolates were classified as MDR. 19.87% (n = 60), 20.86% (n = 63) and 59.27% (n = 179) were classified as weak, moderate, and strong biofilm producers, respectively. With the exception of pyocyanin production (0.371 ± 0.193 vs. non-MDR: 0.319 ± 0.191; p = 0.018), MDR and non-MDR isolates did not show significant differences in expression of virulence factors. Additionally, no relevant correlations were seen between the rate of biofilm formation, pigment production, or motility. Data on interplay between the presence and mechanisms of drug resistance with those of biofilm formation and virulence is crucial to address chronic bacterial infections and to provide strategies for their management.

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Section: Discussion Review Of the Literaturementioning

confidence: 99%

No Correlation between Biofilm Formation, Virulence Factors, and Antibiotic Resistance in Pseudomonas aeruginosa: Results from a Laboratory-Based In Vitro Study

et al. 2021

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“…Nevertheless, several compounds (e.g., polyvalent anions, DNases like dornase-α and alginate lyase) may be useful in the reduction of mucus density [97]. On the other hand (although the evidence on this topic is still controversial), some experiments have shown that sub-MIC concentrations of some antibiotics (mainly β-lactams, including ceftazidime, cefepime, imipenem, and meropenem) may have the opposite effect, inducing biofilm production [98][99][100]. P. aeruginosa also displays the ability to tolerate biocides (e.g., antiseptics and disinfectants) like chlorhexidine or triclosan, mediated by the fabV gene, coding for a triclosan-resistant enoyl-acyl-carrier protein.…”

Section: Biofilm Formationmentioning

confidence: 99%

It’s Not Easy Being Green: A Narrative Review on the Microbiology, Virulence and Therapeutic Prospects of Multidrug-Resistant Pseudomonas aeruginosa

2021

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Pseudomonas aeruginosa is the most frequent cause of infection among non-fermenting Gram-negative bacteria, predominantly affecting immunocompromised patients, but its pathogenic role should not be disregarded in immunocompetent patients. These pathogens present a concerning therapeutic challenge to clinicians, both in community and in hospital settings, due to their increasing prevalence of resistance, and this may lead to prolonged therapy, sequelae, and excess mortality in the affected patient population. The resistance mechanisms of P. aeruginosa may be classified into intrinsic and acquired resistance mechanisms. These mechanisms lead to occurrence of resistant strains against important antibiotics—relevant in the treatment of P. aeruginosa infections—such as β-lactams, quinolones, aminoglycosides, and colistin. The occurrence of a specific resistotype of P. aeruginosa, namely the emergence of carbapenem-resistant but cephalosporin-susceptible (Car-R/Ceph-S) strains, has received substantial attention from clinical microbiologists and infection control specialists; nevertheless, the available literature on this topic is still scarce. The aim of this present review paper is to provide a concise summary on the adaptability, virulence, and antibiotic resistance of P. aeruginosa to a readership of basic scientists and clinicians.

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“…However, these data often showed changes in strain vitality or their enzymatic activity. Obtained data in study performed on Pseudomonas sp., by Aleanizy et al (2021) showed a reduction in abundance, pyocyanin production, and speci c enzymatic activity (protease, DNase) after exposure to antibiotics as azithromycin, piperacillin/tazobactam, and cefepime. Dai et al (2019) has shown in their study that Pseudomonas aeruginosa bio lm formation and adherence acidity signi cantly reduced after exposure at ibuprofen.…”

Section: Discussionmentioning

confidence: 99%

“…Investigation targeted the effect of diclofenac, ketoprofen and ibuprofen on Lycopersicon esculentum rhizosphere microbiome abundance, phenotypic structure and metabolic activity as carbon source consumption and emitted volatile organic compounds. Currently there are poor information related to the effects of commonly reported NSAIDs on the rhizosphere microbiome abundance and metabolic activity, most the study referring to antibiotics impact on bulk soil microbiome (Aleanizy et al, 2021;Wu et al, 2021;Aguilar-Romero et al, 2020;Shen et al, 2019;). Therefore, it was di cult to compare our results with those obtained by other authors.…”

Section: Discussionmentioning

confidence: 99%

“…In general, the reported data showed differentiated effects of pharmaceuticals on bulk soil microorganisms, data differing for each pharmaceutical in part, concentration of pharmaceuticals and time of exposure (Wu et al, 2021;Frkova et al, 2020;Shen et al, 2019). Also, most studies involved assays on isolated microorganisms (Aleanizy et al, 2021;Dai et al, 2019;Oliviera et al, 2019) and not on rhizosphere microbiome. However, these data often showed changes in strain vitality or their enzymatic activity.…”

Section: Discussionmentioning

confidence: 99%

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Structural and metabolic profiling of Lycopersicon esculentum rhizosphere microbiota artificially exposed at commonly used Non-Steroidal Anti-Inflammatory Drugs

Kovacs¹,

Luminita

Tian

2021

Preprint

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In this study the effect of common non-steroidal anti-inflammatory drugs on Lycopersicon esculentum rhizosphere microbiota was monitored. Results evidenced that rhizosphere microbiota abundance decreased especially under exposure to diclofenac and ibuprofen while fungal/bacteria ratio changed significantly with exposure to diclofenac and ketoprofen. Compared with control samples the average amount of ratio of gram negative/gram positive bacteria was higher in rhizosphere soil contaminated with ibuprofen and lower in case of diclofenac contamination. Carbon source consumption increased with time of assay in case of control samples and those contaminated with diclofenac. This suggests that rhizosphere microbiota under contamination with diclofenac consume higher amount of carbon although do not consume a larger variety of its sources. In case of contamination with ibuprofen and ketoprofen the consumption of carbon source presents a decreasing tendency after day 30 of the assay. Rhizosphere microbiota emitted volatile organic compounds were also monitored. Volatile compounds belonging to alcohol, aromatic compounds, ketone, terpene, organic acids, aldehyde, sulphur compounds, esters, alkane, nitrogen compounds, alkene and furans were detected in rhizosphere soil samples. Among these, terpene, ketone, alcohol, aromatic compounds, organic acids, and alkane were the most abundant compound classes, but their percentage changed with exposure at diclofenac, ketoprofen and ibuprofen. Such changes in abundance, structure, and metabolic activity of Lycopersicon esculentum rhizosphere microbiota under exposure to common non-steroidal anti-inflammatory drugs make as to suppose that there is a probability to also change ecosystem services provided by rhizosphere microbiota.

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Evaluating the effect of antibiotics sub-inhibitory dose on Pseudomonas aeruginosaquorum sensing dependent virulence and its phenotypes

Cited by 16 publications

References 37 publications

No Correlation between Biofilm Formation, Virulence Factors, and Antibiotic Resistance in Pseudomonas aeruginosa: Results from a Laboratory-Based In Vitro Study

No Correlation between Biofilm Formation, Virulence Factors, and Antibiotic Resistance in Pseudomonas aeruginosa: Results from a Laboratory-Based In Vitro Study

It’s Not Easy Being Green: A Narrative Review on the Microbiology, Virulence and Therapeutic Prospects of Multidrug-Resistant Pseudomonas aeruginosa

Structural and metabolic profiling of Lycopersicon esculentum rhizosphere microbiota artificially exposed at commonly used Non-Steroidal Anti-Inflammatory Drugs

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