Prevalence of biofilm and efflux pump genes expression by PCR and antibiotic resistance pattern in Pseudomonas aeruginosa

Document Type : Original Articles

Authors

1 SabaBiomedicals Science-Based Company, Tehran, Iran

2 Department of Biology, Faculty of Basic Science, Semnan University, Semnan, Iran

3 Department of physiology, school of Medicine Iran University of Medical Science, Tehran, Iran

4 Department of Biology, Faculty of Sciences, Islamic Azad University of Shiraz,Shiraz,Iran

5 Department of Biology, College of Basic Sciences, Shahr-e-Qods Branch, Islamic Azad University, Tehran, Iran

6 Department of Biology, Faculty of Sciences, Shahid Bahonar University of Kerman, Kerman, Iran

10.32592/ARI.2024.79.6.1281

Abstract

Pseudomonas aeruginosa is one of the most important pathogens of nosocomial infections. P. aeruginosa is a multidrug-resistant (MDR) bacteria that is thought to be a major cause of nosocomial infections because of its plasmid-borne and intrinsic resistance to several drugs. This study looked at the possibility of biofilm formation, the distribution of the pslD, pelF, and algD genes, as well as the expression of the MexAB-OprM efflux pump genes. It also looked at the pattern of antibiotic resistance in multi-drug resistant P. aeruginosa isolates that were taken from various clinical samples. 76 P. aeruginosa strains had been collected for this investigation from various clinical specimens. Using the disk agar diffusion method, the isolates' susceptibility to antibiotics was assessed. Lastly, multi-drug resistance (MDR) is based on the resistance pattern. These isolates were assessed for the presence of three key biofilm genes and antimicrobial resistance patterns against ten standard antibiotic disks. Version 25 of the SPSS statistical software was used to analyze the data. Examination of the isolates showed that the most antibiotic sensitivity is related to polymyxin, piperacillin, and ciprofloxacin. Also, the prevalence of biofilm-producing genes pslD, pelF, and algD genes was assessed as 68.4%, 80.3%, and 69.7% respectively. The prevalence of MexAB-OprM efflux genes in the examined isolates, mexA, mexB, and oprM genes were 89.5%, 90.8%, and 90.8%, respectively. The majority of the isolates in this investigation had efflux pump genes, according to the findings. Additionally, a strong correlation was discovered between a few efflux genes and biofilm, or the antibiotics tetracycline, meropenem, amikacin, and polymyxin B.

Keywords

Main Subjects


1. Introduction

Pseudomonas aeruginosa is a notable bacterial pathogen that has been linked to infections in hospitalized patients, individuals with compromised immune systems, and those with cystic fibrosis. The surveillance of nosocomial P. aeruginosa infections has revealed an alarming trend of rising antimicrobial resistance, including carbapenem resistance and multidrug resistance ( 1 ). Pseudomonas aeruginosa is a primary source of nosocomial infections, accounting for 10-15% of infections in patients hospitalized in intensive care units (ICUs) ( 2 ). P. aeruginosa exhibits the multidrug-resistant (MDR) phenotype, indicating its capacity to withstand the effects of multiple antimicrobial agents across three or more categories. ( 3 ) Pseudomonas aeruginosa exhibits natural resistance to a range of antibiotic classes, including aminoglycosides, carbapenems, beta-lactams, quinolones, and cephalosporins. Moreover, it can acquire new resistance genes through horizontal gene transfer, and the existence of diverse resistance mechanisms renders treatment more challenging ( 4 ). It is therefore evident that over 75% of burn-related mortalities are directly attributable to infection. Furthermore, the presence of multidrug-resistant (MDR) organisms has been demonstrated to increase mortality rates from 42% to 86%. The bacteria that reside in biofilms exhibit heightened resistance to antimicrobial agents and the human immune response, which can result in the establishment of persistent or chronic infections that are challenging to treat ( 6 ). Two extracellular polymeric matrices are produced by biofilm-forming bacteria, serving to bind the bacterial community to the biofilm. Polysaccharides are indispensable components of the biofilm matrix, as they provide structural support and confer resistance to antibacterial agents on the bacterial population ( 7 ). Alginate, Psl, and Pel are three exopolysaccharides that have been identified as key contributors to the formation of P. aeruginosa biofilms ( 8 ). There is now a substantial body of evidence supporting the view that biofilms play an important role in the ecological functioning of microbial communities and have a significant impact on human health through their involvement in the development of infections associated with healthcare settings. Estimates from the National Institutes of Health (NIH) suggest that bacterial biofilms are responsible for over 80% of chronic illnesses and 65% of microbiological disorders ( 9 ). Efflux pump systems are a significant factor in the antibiotic resistance of Pseudomonas aeruginosa isolates to various antibiotics ( 10 ). P. aeruginosa is capable of expressing twelve different Mex multidrug efflux pumps. The most significant efflux pumps in this family are the MexCD-MexXY-OprM, MexJK-OprM, MexAB-OprM, and OprJ pumps ( 11 ). The MexAB-OprM pump is the sole secretory pump present in all Pseudomonas aeruginosa isolates and is responsible for the bacteria's innate resistance to antibiotics ( 12 ).

2. Materials and Methods

A total of 76 isolates of Pseudomonas aeruginosa were collected over a seven-month period (February to October 2023) from clinical samples obtained from three laboratories in Tehran and Karaj. The samples included those from wounds, urine, and secretions. Following transfer to the TSB transport medium, the samples were delivered to the laboratory in a timeframe of slightly over two hours. The samples were cultivated for 24 hours at 37°C on plates containing Blood Agar (Ibresco, Iran) and MacConkey Agar (Ibresco, Iran). Subsequently, strains of P. aeruginosa were isolated through the application of conventional microbiological techniques. The susceptibility of the samples to the discs of tetracycline, amikacin, polymyxin B, meropenem, ticarcillin, ceftazidime, piperacillin, imipenem, ciprofloxacin, and gentamicin (Padtan Teb, Iran). The presence of the pslD, pelF, algD, mexA, mexB, and oprM genes in P. aeruginosa isolates was determined using PCR and electrophoresis methods. The DNA of the isolates was extracted using the boiling method. The final optimized PCR reaction consisted of 1 μl of each primer (10 pmol), 0.5 μl dNTP (10 mM), 0.5 μl MgCl2 (100 mM), 0.2 μl Taq DNA polymerase (1 unit), 2.5 μl PCR buffer (10×), and 0.5 μl of DNA template (100 μg/ml) in a total volume of 25 μl, with double distilled water. The temperature conditions for the pslD gene were as follows: denaturation for five minutes at 95°C, followed by 30 cycles of 95°C for one minute, 56°C for 40 seconds, 72°C for 45 seconds, and finally extension at 72°C for five minutes ( 13 ). The temperature conditions for the pelF gene are as follows: the process commences with heating at 94°C for 5 minutes, followed by 30 cycles of heating at 95°C for 60 seconds, 58°C for 40 seconds, and heating again at 72°C for 45 seconds. The final heating step is conducted at 72°C for 5 minutes ( 13 ). The temperature conditions for the algD gene are as follows: denaturation for five minutes at 94°C, followed by 30 cycles of 94°C for 45 seconds, 53°C for 45 seconds, 72°C for 45 seconds, and finally an extension at 72°C for seven minutes ( 14 ). The cycling program for efflux pump genes (mexAB-oprM) was modified as follows: an initial denaturation at 94 °C for 5 minutes was conducted, followed by 30 cycles of 94 °C for 45 seconds, 60 °C for 45 seconds, 72 °C for 1 minute, and a final extension at 72 °C for 10 minutes ( 15 - 17 ). The molecular approach was optimized using P. aeruginosa ATCC 27853 as the control positive strain. The primer sequences and PCR conditions for the detection of genes are presented in Table 1.

Gene Primer Sequences (5′ to 3′) Product Size (bp) annealing Reference
pslD F: TGTACACCGTGCTCAACGAC 369 56°C 13
R: CTTCCGGCCCGATCTTCATC
pelF F: GAGGTCAGCTACATCCGTCG 789 58°C 13
R: TCATGCAATCTCCGTGGCTT
algD F: ATG CGA ATC AGC ATC TTT GGT 1310 53°C 14
R: CTA CCA GCA GAT GCC CTC GGC
mexA F: ACCTACGAGGCCGACTACCAGA 179 60 °C 15
R: GTTGGTCACCAGGGCGCCTTC
mexB F: GTGTTCGGCTCGCAGTACTC 244 60 °C 16
R: AACCGTCGGGATTGACCTTG
oprM F: CCATGAGCCGCCAACTGTC 205 60 °C 17
R: CCTGGAACGCCGTCTGGAT
Table 1.Primers sequences as per standard reference.

2.1. Statistical Analysis

A model selection log-linear analysis was employed to ascertain the correlation between sociodemographic variables and the frequency of Pseudomonas aeruginosa isolation, utilising categorical data. All statistical analyses were conducted using the SPSS 25.0 software for Windows. A value of P≤0.05 was deemed statistically significant.

3. Results

3.1. Antibiotic Susceptibility

A total of 76 samples were collected, of which 53 were urine samples and 23 were from wounds. The respective proportions of these samples were 69.7% and 30.3%. The overall resistance of P. aeruginosa isolates to antimicrobial agents was 57.9% for meropenem, 44.7% for gentamicin, and 42.1% for tetracycline. The highest sensitivity was observed with regard to polymyxin, piperacillin, and ciprofloxacin, respectively. The overall antibiotic susceptibility pattern of the strains to antimicrobial agents is illustrated in Table 2. Figure 1 illustrates the prevalence of antibiotic resistance in clinical samples.

Figure 1. Percentage of antibiotic resistance in clinical samples.

Antibiotics Sensitive (%) Intermediate (%) Resistance (%)
Tetracycline 39 (51.3) 5 (6.6) 32 (42.1)
Amikacin 43 (56.6) 8 (10.5) 25 (32.9)
Plymyxin B 74 (97.4) --- 2 (2.6)
Meropenem 28 (36.8) 4 (5.3) 44 (57.9)
Ticarcillin 60 (78.9) 3 (3.9) 13 (17.1)
Ceftazidime 49 (64.5) 3 (3.9) 24 (31.6)
Piperacillin 64 (84.2) --- 12 (15.8)
Imipenem 33 (43.4) 4 (5.3) 39 (51.3)
Ciprofloxacin 53 (69.7) 7 (9.2) 16 (21.1)
Gentamicin 39 (51.3) 3 (3.9) 34 (44.7)
Table 2.Antimicrobial susceptibility pattern of P. aeruginosa isolates.

3.2.Gene Pattern Characterization

In this study, the presence of antibiotic resistance and biofilm-related genes was evaluated in P. aeruginosa isolates by means of a polymerase chain reaction (PCR) method. The presence of biofilm genes, specifically pslD, pelF, and algD, was investigated in all isolates. The prevalence of the genes pslD, pelF, and algD was found to be 68.4%, 80.3%, and 69.7%, respectively. Additionally, P. aeruginosa isolates were examined for efflux pump genes, and it was determined that the prevalence of mexA, mexB, and oprM genes was 89.5%, 90.8%, and 90.8%, respectively. The results of the polymerase chain reaction (PCR) for the genes from the P. aeruginosa isolates are presented in Figure 2. The frequency of biofilm-producing genes in clinical samples was as follows: the algD gene was observed in 65.2% of wound samples and 71.7% of urine samples. The plsD gene was identified in 78.3% of wound samples and 64.2% of urine samples. Additionally, the pelF gene was observed in 82.6% of wound samples and 79.2% of urine samples. No statistically significant difference was observed between the frequency of biofilm genes in clinical samples (P > 0.05). The frequency of MexAB-OprM efflux pump genes in clinical samples was as follows: The frequency of the mexA gene in wound and urine samples was 95.7% and 86.8%, respectively. Additionally, the frequency of the mexB gene in wound and urine samples was 95.7% and 88.7%, respectively. The frequency of the oprM gene was 95.7% in wound samples and 88.7% in urine samples. No significant difference was observed between the frequency of efflux pump genes in clinical samples (P > 0.05). However, a significant relationship was identified between the oprM gene and tetracycline resistance (P < 0.05), as well as between the algD gene and amikacin resistance (P < 0.05), and between the pslD gene and meropenem resistance (P < 0.05). Additionally, a significant relationship was observed between the oprM and mexB genes and polymyxin antibiotics (P < 0.05).

Figure 2. Amplification of pslD, pelF, algD, mexA, mexB, and oprM genes from P. aeruginosa isolates. Lane M, DNA marker (100 bp); Lane1, mexA (179 bp); Lane 2, oprM (205 bp); Lane3, mexB (244 bp); Lane 4, pslD (369 bp); Lane 5, pelF (789 bp) and Lane 6 algD (1310 bp).

4. Discussion

In this study, 76 isolates of Pseudomonas aeruginosa were examined to determine the prevalence of biofilm-producing genes in clinical samples. The results indicated that pslD 52 was present in 68.4% of the samples, pelF in 61 (80.3%), and algD in 53 (69.7%). Additionally, the prevalence of MexAB-OprM efflux pump genes in clinical samples was observed, with mexA, mexB, and oprM genes present in 68 (89.5%), 69 (90.8%), and 69 (90.8%) samples, respectively. The antibiotic resistance pattern results demonstrated that meropenem exhibited the highest resistance (57.9%), while polymyxin B demonstrated the lowest resistance (2.6%). The prevalence of multidrug-resistant (MDR) Pseudomonas aeruginosa isolates has increased worldwide in recent years ( 19 ). In the study conducted by Begi et al.

the resistance rate to imipenem and meropenem antibiotics was found to be 45.45% and 39.39%, respectively. These findings differ from those of the present study. Additionally, the resistance results for imipenem and meropenem antibiotics differ from those reported by Siasi et al. ( 21 ), who conducted their study in Tehran. In a study conducted by Aminizadeh et al. on Pseudomonas aeruginosa isolated from the ICU, the highest and lowest levels of resistance were observed, respectively, to ceftazidime (87%) and imipenem (5.6%) ( 22 ). In a study conducted by Fazeli et al. in Isfahan on 66 isolates of Pseudomonas aeruginosa isolated from the ICU department, 75.8% of the isolates demonstrated resistance to the antibiotic ceftazidime, and 72.7% of the isolates exhibited resistance to piperacillin ( 23 ). In the study conducted by Rajabi et al., the prevalence of the algD, pelF, and pslD genes was 78.6%, 70.5%, and 36.6%, respectively. The prevalence of the algD and pelF genes was similar to that observed in our study ( 24 ). In the study conducted by Nawaz et al., the resistance rates to imipenem, meropenem, and gentamicin antibiotics were found to be 90.3%, 92.3%, and 61.5%, respectively. These findings differ from those observed in the present study. A review of existing studies indicates that the prevalence of resistant P. aeruginosa is highly dependent on geographical area, biological patterns, and the use of common antibiotics in the region. This is the reason for the discrepancy in the results of the studies. Consequently, an investigation into the alteration of antibiotic resistance patterns over specific time periods may prove an efficacious approach to the treatment of P. aeruginosa infections. The use of an antibiogram test is currently being recommended as a means of preventing the development of antibiotic resistance. It appears that the identification of safe strains through PCR testing is a crucial step. Based on the available evidence, the potent component of the bacterial attack's biofilm organization capacity and cytotoxicity impact may offer promising avenues for treatment beyond the conventional antimicrobial approach. Moreover, the pharmaceutical industry may be encouraged to provide unused antimicrobials to elucidate the resistance issue if the isolated P. aeruginosa exhibits a high prevalence of antimicrobial resistance.

Acknowledgment

Note Applicable.

Authors' Contribution

Literature review and research, conceptualization, methodology, supervision, project administration, writing-reviewing and editing, methodology, investigation, studies analysis: A.S.B., L.S.M.M., A.F.M., Writing original draft preparation, writing-reviewing and editing, and methodology: F.T.P., R.K.R., S.F.A., investigation. Validation and Reviewing: R.K.R., A.S.B.

Ethics

Not Applicable.

Conflict of Interest

The authors certify no conflict of interest.

Data Availability

All data generated or analyzed during the course of this study has been incorporated into this published article.

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