Pseudomonas aeruginosa is a gram-negative, non-spore-forming opportunistic pathogen associated with healthcare infections (HAIs), particularly in immunocompromised patients (1). As a global dilemma, the emergence of multidrug-resistance (MDR) strains has made medical therapy against P. aeruginosa difficult (2). Furthermore, biofilm production in P. aeruginosa is the main factor in developing chronic infections, especially in cystic fibrosis and burn patients (3). Furthermore, biofilm-forming P. aeruginosa strains are more resistant to antimicrobials and immune responses (4). Biofilm is a complex community of microbial cells surrounded by an extracellular matrix composed of proteins, exopolysaccharides, and extracellular DNA (eDNA) (5). This exopolysaccharide can impair the antimicrobials entrance and act as a barrier against phagocytosis by host immune cells. Alginate, Psl (polysaccharide synthesis locus), and Pel (pellicle) are various exopolysaccharides produced in biofilm-forming P. aeruginosa. Psl is a mannose-rich polymer with an important role in the early stages of biofilm production, and Pel plays an essential role in the initial surface attachment and cell-to-cell connections (6). Fifteen co-transcribed genes comprising pslA-O are essential for Psl synthesis. PslD protein, encoded by pslD gene, is anchored in the periplasm/outer membrane and essential for biofilm formation, possibly by transferring a biofilm-relevant exopoly-saccharide. A cellulose-sensitive exopolysaccharide is encoded by pel operon (pelA to pelG). PelF acts as a soluble glucosyltransferase and participates in the biosynthesis of Pel exopolysaccharide using UDP-glucose as a substrate (7). Alginate is a linear unbranched polymer that so called 'mucoid' biofilms produce and act as an important virulence element (8).
Treatment of P. aeruginosa infections is difficult due to its resistance to broad-spectrum antimicrobials, such as Carbapenems (9). Metallo-β-lactamases (MBLs) are classified in class B and group III structural and functional classification systems, respectively and inhibited by metal chelators, such as ethylenediaminetetraacetic acid (EDTA) (10). Numerous MBLs, including blaIMP, blaNDM, blaVIM, blaSPM, blaSIM, and blaGIM families, have been defined in carbapenem-resistant P. aeruginosa (CRPA) (11). On the other hand, impermeability through alteration or loss of OprD, Overexpression of efflux pumps, and oxacillinases (Ambler class D β-lactamases) contribute to the emergence of CRPA (12). Hyper-expression of MexAB-OprM efflux system is recognized to affect meropenem (MER) efficacy but not that of imipenem (IMP). In addition, the MexCD-OprJ and MexXY-OprM efflux systems reduce MER susceptibility (13). Resistance of P. aeruginosa to numerous antimicrobials is mainly attributable to overexpression of the MexAB-OprM efflux pump (4). This ribonucleoprotein efflux pump has three components, which include MexB (an inner membrane), MexA (a periplasmic membrane fusion protein) and OprM (a channel-forming outer membrane protein) (14).
Today, resistance to most antibiotics in P. aeruginosa has become a major challenge for physicians because it limits the choice of the appropriate antibiotic to treat these infections. On the other hand, knowing the mechanisms of resistance and limiting the transfer of resistance factors is inevitable due to the increasing number of carbapenem-resistant strains and the horizontal transfer of these resistance factors to susceptible strains, as well as cross-resistance to other antibiotic families. Therefore, this study was designed to determine the antimicrobial susceptibility profile, biofilm production and carbapenem resistance mechanisms in the clinical P. aeruginosa isolates.
Bacterial sampling
In a random simple sampling method, the sample size was calculated by the equation: n = z2P (1- P)/d2, where "n" was the sample size, "P" was the estimated prevalence proportion observed in a previous study (0.45), "z" was the probability (0.975), and "d" was the standard error (0.05). Thus, with these constraints and probabilities, a sample size of 117 non-duplicative clinical P. aeruginosa isolates. In general, from March 2020 to February 2021, 117 non-duplicative clinical samples were collected in this cross-sectional study from hospitalized patients admitted to the Rohani hospital, Babol, north of Iran. A positive P. aeruginosa culture results and age ⩾17 years were included. All isolates were identified as P. aeruginosa using biochemical and microbiological tests such as colony morphology and pigment production, Gram staining, oxidase, triple sugar iron (TSI), SIM, citrate, oxidative-fermentative (OF) media (Merck, Darmstadt, Germany), and growth at 42 °C. All strains were conserved in the brain-heart infusion broth (Becton Dickinson, Franklin Lakes, NJ) comprising 15% (v/v) glycerol (Merck Co., Germany) at -80 ˚C for further use. P. aeruginosa ATCC 27853 and Escherichia coli ATCC 25922 were used as positive and negative control, respectively.
Antimicrobial susceptibility testing (AST)
Susceptibility of isolates to different antibiotics, including piperacillin (PRL, 100 µg), piperacillin-tazobactam (PTZ, 100/10 µg), ticarcillin (TC, 75 µg), Ticarcillin-clavulanate (TCC, 75/10 µg) levofloxacin (LEV; 5 µg); ceftazidime (CAZ; 30 µg), ceftriaxone (CRO, 30 µg), imipenem (IPM; 10 µg), chloramphenicol (CHL, 30 µg), colistin (CS, 10 µg), gentamicin (GM; 10 µg), ciprofloxacin (CIP; 5 µg), and tetracycline (TET; 30 µg) (MAST Diagnostics, Merseyside, UK) was determined by Disk agar diffusion (DAD) method on the cation adjusted Mueller–Hinton plates (Merck, Darmstadt, Germany) according to the Clinical and Laboratory Standards Institute (CLSI) recommendations (10).
Metallo β-lactamase (MBL)-producing strains
The combined double‑disk synergy test (CDDST) was used to detect MBL- producing isolates. E-test strips of IPM ranging from; 4 to 256 μgmL-1 and IPM/EDTA (IMD) ranging from; 1 to 64 μgmL-1 (Liofilchem SRL, Rosetodegli Abruzzi, Italy) were used in agreement with the manufacturer's instruction (8).
Modified Hodge test (MHT)
Klebsiella pneumoniae carbapenemase (KPC)-producing P. aeruginosa isolates were identified using MHT. A 24h suspension of E. coli ATCC 25922 with equal turbidity to 0.5 McFarland standard solution was inoculated by a sterile cotton swab to the Mueller-Hinton Petri (Merck Co., Germany). Then, a 10 μg meropenem disk (MEM) was inserted at the center of the plate, and a test isolate was cultured from the margin of the disk to the edge of the plate in four directions. After incubation at 37˚C for 24h, the presence of a 'cloverleaf shaped' inhibition zone indicates a positive MHT test (8).
Biofilm formation assay
Quantitative biofilm production was evaluated in vitro by a microtiter plate assay. Briefly, 200 μL of 1:100 dilutions of all overnight-grown microbial cultures in brain heart infusion (BHI) broth were inoculated into a 96-well flat-bottomed polystyrene Petri. After incubation at 37 °C overnight, the wells were washed twice with phosphate buffer saline (PBS, pH 7.2) to eliminate loosely attached and floating 'planktonic' isolates. Then the plates were forcefully shaken to remove all non-adherent strains. It was dried at room temperature to fix the attached biofilm. Biofilms were stained with 200 μL of crystal violet 0.1% (Sigma, St Louis, USA) for 6 min at 24°C and then washed with tap water and allowed to dry. The optical density (OD) was measured at 570 nm by an ELISA reader (BioTek, Bad Friedrich shall, Germany). Each test was done in triplicate, and a cut-off value (ODc) was determined. Biofilm formation was recorded as follows: non-biofilm forming (OD570< 1), weak (1< OD570<2), moderate (2< OD570< 3) and strong (OD570> 3) (8).
Alginate production assay
The alginate production level was assessed using the Carbazole method. Briefly, after culturing each sample in Luria–Bertani broth, incubation was performed in a shaker incubator for 24 h at 37 ˚C and then centrifuged for 35 min at 12,000 ×g. To precipitate alginate, the supernatant was mixed with 95% ethanol (-70 ˚C) and centrifuged at 12,000 × g for 20 min. About 30 mL of alginate solution was mixed with 1.0 mL of borate–sulfuric acid (10 mM H3BO3 in concentrated H2SO4) and 300 mL of the 0.1% (w/v) Carbazole (Sigma-Aldrich, St. Louis, Missouri, United States). The mixture was heated at 50˚C for 30 min to develop the color reaction. Finally, the optical density was measured at 530 nm (OD530) (15).
Multiplex Polymerase Chain Reactions
After overnight incubation, genomic DNA was extracted from the fresh colonies using the Bacteria Genome DNA Extraction Kit (TaKaRa, Dalian, China) and stored at –20 °C until used. The primer sequences are listed in Table 1. Multiplex PCRs were done in a final volume of 25 μL, include of 1.0 µL of template DNA (30ng/ μL), 12.5 µl Maxima Hot Start PCR Master Mix (2×) (Fermentas GmbH, St. Leon-Rot, Germany), 0.8 µL of each primer (10mM), and 9.9 µl of ddH2O. The process of Multiplex PCR reactions was performed according to Table 2 in a Techne TC-512 thermocycler (Eppendorf, Hamburg, Germany). PCR amplicons were analyzed with UV light after running at 100 V for 60 min on a 1% agarose gel stained with DNA safe stain (SinaClon, Tehran, Iran).
Table 1. Oligonucleotide primer sequences used in this study (3, 9, 11, 13, 14, 19, 30)
Genes | Primer sequences (5ʹ→3ʹ) | Product size (bp) | ||
Carbapenems-resistance genes | OXAs | OXA-23-like | F=5ʹ- GATCGGATTGGAGAACCAGA -3ʹ R: 5- ATTTCTGACCGCATTTCCAT -3ʹ |
501 |
OXA-24/40-like | F=5ʹ- GGTTAGTTGGCCCCCTTAAA-3ʹ R: 5ʹ - AGTTGAGCGAAAAGGGGATT-3ʹ |
246 | ||
OXA-58-like | F= 5ʹ- AAGTATTGGGGCTTGTGCTG -3ʹ R=5ʹ- CCCCTCTGCGCTCTACATAC -3ʹ |
599 | ||
OXA-48-like | F=5ʹ- TTGGTGGCATCGATTATCGG-3ʹ R=5ʹ- GAGCACTTCTTTTGTGATGGC-3ʹ |
744 | ||
MBLs | IMP | F=5ʹ- TGAGCAAGTTATCTGTATTC-3ʹ F=5ʹ- TTAGTTGCTTGGTTTTGATG-3ʹ |
740 | |
SPM | F=5ʹ- CCTACAATCTAACGGCGACC-3ʹ F=5ʹ- TCGCCGTGTCCAGGTATAAC-3ʹ |
674 | ||
VIM | F=5ʹ- GATGGTGTTTGGTCGCATA-3ʹ F=5ʹ- CGAATGCGCAGCACCAG-3ʹ |
390 | ||
NDM | F=5ʹ- GGGCAGTCGCTTCCAACGGT-3ʹ F=5ʹ- GTAGTGCTCAGTGTCGGC AT-3ʹ |
475 | ||
KPC | KPC | F=5ʹ- ATGTCACTGTATCGCCGTCT-3ʹ F=5ʹ- TTACTGCCCGTTGACGCCC-3ʹ |
882 | |
Efflux-encoded gene | MexA | F=5ʹ- ACCTACGAGGCCGACTACCAGA -3ʹ F=5ʹ- GTTGGTCACCAGGGCGCCTTC -3ʹ |
179 | |
MexB | F=5ʹ- GTGTTCGGCTCGCAGTACTC -3ʹ F=5ʹ- AACCGTCGGGATTGACCTTG -3ʹ |
244 | ||
MexC | F=5ʹ- GTACCGGCGTCATGCAGGGTTC -3ʹ F=5ʹ- TTACTGTTGCGGCGCAGGTGACT -3ʹ |
164 | ||
MexX | F=5ʹ- TGAAGGCGGCCCTGGACATCAGC-3ʹ F=5ʹ- GATCTGCTCGACGCGGGTCAGCG-3ʹ |
326 | ||
OprM | F=5ʹ- CCATGAGCCGCCAACTGTC -3ʹ F=5ʹ- CCTGGAACGCCGTCTGGAT -3ʹ |
205 | ||
Housekeeping gene | rpsL | F=5ʹ- AAGCGCATGGTCGACAAGA-3ʹ F=5ʹ- CTGTGCTCTTGCAGGTTGTGA-3ʹ |
201 | |
Biofilm and alginate formation genes | pslA | F=5ʹ- TCCCTACCTCAGCAGCAAGC -3ʹ F=5ʹ- TGTTGTAGCCGTAGCGTTTCTG -3ʹ |
656 | |
pelA | F=5ʹ- CATACCTTCAGCCATCCGTTCTTC -3ʹ F=5ʹ- CGCATTCGCCGCACTCAG -3ʹ |
786 | ||
ppyR | F=5ʹ- CGTGATCGCCGCCTATTTCC -3ʹ F=5ʹ- ACAGCAGACCTCCCAACCG -3ʹ |
160 | ||
algU | F=5ʹ- CGATGTGACCGCAGAGGATG-3ʹ F=5ʹ- TCAGGCTTCTCGCAACAAAGG-3ʹ |
292 | ||
algD | F= 5ʹ-AGAAGTCCGAACGCCACACC-3ʹ R= 5ʹ-CGCATCAACGAACCGAGCATC-3ʹ |
550 |
Table 2. Multiplex PCRs programs and cycles in the present study
Reaction set | Amplified genes | Reaction compounds | M-PCR program | Cycles of amplification |
S1 | OXA-23-like OXA-24/40-like OXA-58-like OXA-48-like |
1.5 µL of template, 12.5 µL of PCR Master Mix, 1.0 µL of each primer, and 9.0 µL of ddH2O. | Initial denaturation at 94°C for 6 min, denaturation at 95°C for 35 s, annealing at 58°C for 60 s, extension at 72°C for 60 s and a final extension at 72°C for 6 min. | 30 |
S2 | IMP SPM VIM NDM KPC |
1.0 µL of template DNA, 13.5 µL of CinnaGen PCR Master Mix, 1.1 µL of each primer, and 8.3 µL of ddH2O | initial denaturation at 95°C for 7 min, denaturation at 94°C for 50 s, annealing at 57°C for 50 s, extension at 72°C for 1 min and a final extension at 72°C for 5 min. | |
S3 | mexA mexB mexC mexX oprM |
1.2 µL of template DNA, 12.6 µL of CinnaGen PCR Master Mix, 0.9 µL of each primer, and 9.7 µL of ddH2O | initial denaturation at 94°C for 5 min, denaturation at 95°C for 55 s, annealing at 56°C for 50 s, extension at 72°C for 60 s and a final extension at 72°C for 5 min. | 32 |
S4 | pslA pelA ppyR algU algD |
1.8 µL of template DNA, 13.6 µL of CinnaGen PCR Master Mix, 1.5 µL of each primer, and 6.6 µL of ddH2O. | initial denaturation at 95°C for 5 min, denaturation at 95°C for 60 s, annealing at 55°C for 45 s, extension at 72°C for 60 s and a final extension at 72°C for 5 min. | 33 |
Efflux pump inhibition (EPI)
In order to evaluate the phenotypic activity of the efflux pump, the minimum inhibitory concentration (MIC) of IPM ranging between 2-256 μgmL-1 was determined in the presence and absence of Cyanide 3-Chlorophenyl-hydrazone (CCCP; C2759 Sigma- Aldrich, France) as an EPI at a final concentration of 25 μgmL-1 based on Azimi et al. (14) The strains were confirmed as efflux pumps hyper-expressed when the MICs value in the presence of EPI were at least quadruple less than the MICs in the absence of CCCP. The P. aeruginosa PAO1 was used as a reference strain.
Total RNA extraction and cDNA synthesis
A Thermo RNA extraction kit (cat. No. K0732) was used for total RNA extraction. Templet RNA was treated with RNase-free DNaseI (SinaClon) and quantified by NanoDrop™ 1000 Spectrophotometer (Thermo Scientific, Wilmington, DE, USA). RNA purity was assessed in an absorbance ratio of 260 nm vs. 280 nm. Complementary DNA (cDNA) was synthesized using the M-MuL V reverse transcriptase (SinaClon) by adding 5 μg DNA-free RNA and random hexamer primer based on the manufacturer's guidelines.
Quantitative real-time PCR (qRT-PCR)
SYBR Premix EX TaqII (Tli RNaseH Plus) (Takara Bio Inc.) was used for amplification of mexA, mexB, mexC, mexX and oprM genes in duplicate repeats at the Rotor-Gene Real-Time PCR machine (Corbett Research, Sydney, Australia; Model RG 3000). The rpsL gene was used as a house-keeping gene. The primer sequences are shown in Table 1. Relative overexpression values were calculated using the 2-ΔΔCt method. Normalized expression of all genes was calibrated compared with corresponding mRNA expression by PAO1; results are present as an mRNA relative expression compared with the wild type PAO1. Downexpression of oprM was considered relevant when it was 30% compared to the P. aeruginosa PAO1 quality strain. Each qRT-PCR reaction was run in triplicate with DEPC-treated water as a negative control.
Statistical analysis
Chi-Square test was done on the relationship between categorical variables, counting biofilm characteristics and antimicrobial resistance by SPSS, 22.0 (SPSS Inc., Chicago, IL, USA). A P-value < 0.05 was considered statistically significant.
In total 117 non-repetitive P. aeruginosa isolates were collected from 58.9% (n=69) male and 41.1% (n=48) female. The mean age of the cases was 43.4±1.1 years, ranging from 17 to 81 years. The origin of strains was urine (n = 37, 31.6%), respiratory tract (bronchoalveolar lavage [BAL], sputum and endotracheal tube [ETT]) (n = 32, 27.4%), wound (n = 18, 15.4%), blood (n = 11, 9.4%), skin lesions (11; 9.4%), eye swabs (n = 3, 2.6%), cerebrospinal fluid (CSF) (n = 2, 1.7%), ear swab (n = 1, 0.8%), heart biopsy (n = 1, 0.8%) and orthopedic device (n = 1, 0.8%). The distribution of strains according to hospital wards were as follows: intensive care unit [ICU] (n; 22, 18.8%), neonatal intensive care unit [NICU] (n; 19, 16.2%), infectious disease (n; 16, 13.7%), urology (n; 14, 11.9%), gastroenterology (n; 11, 9.4%), surgery (n; 11, 9.4%), hemodialysis (n; 10, 8.5%), Ear, Nose and Throat [ENT] (n; 5, 4.3%) hematology-oncology (n; 4, 3.4%), gynecology (n; 2, 1.7%), neurosurgery (n; 1, 0.8%) ophthalmology (n; 1, 0.8%) and orthopedics (n; 1, 0.8%).
As shown in Table 3, all isolates were susceptible to CS. The highest resistance rate was related to CAZ (n; 67, 57.3%), CHL (n; 57; 48.7%), CRO (n; 49, 41.9%), TET (n; 45, 38.5%) and LEV (n; 33, 28.2%). Twenty-nine (24.7%) isolates were resistant to IMP, considered CRPA. The prevalence of patients infected with CRPA in different wards were as follows; ICU (n; 11, 37.9%), infectious disease (n; 8, 27.6%), surgery (n; 4, 13.7%), NICU (n; 2, 6.8%), urology (n; 2, 6.8%), gastroenterology (n; 1, 3.4%), and hematology-oncology (n; 1, 3.4%). The frequency of MDR and XDR strains were 43.6% (n; 51) and 9.4% (n; 11), respectively.
Table 3. No [(%)] antimicrobial resistance pattern in CRPA and CSPA isolates
Clinical isolates | PRL | PTZ | TC | TCC | LEV | CAZ | CRO | IPM | CHL | GM | CIP | TET | CS | |
CRPA (n= 29) | S | 25 (86.2) |
28 (96.5) |
27 (93.1) |
27 (93.1) |
11 (37.9) |
8 (27.6) |
9 (31.0) |
0 (0.0) |
10 (34.5) |
18 (62.1) |
18 (62.1) |
8 (27.6) |
29 (100.0) |
I | 0 (0.0) |
1 (3.4) |
0 (0.0) |
1 (3.4) |
0 (0.0) |
0 (0.0) |
0 (0.0) |
0 (0.0) |
0 (0.0) |
3 (10.3) |
1 (3.4) |
0 (0.0) |
0 (0.0) |
|
R | 4 (13.7) |
0 (0.0) |
2 (6.8) |
1 (3.4) |
18 (20.5) |
21 (72.4) |
20 (68.9) |
29 (100.0) |
19 (65.5) |
8 (27.6) |
10 (34.5) |
21 (72.4) |
0 (0.0) |
|
CSPA (n=88) | S | 84 (95.5) |
85 (96.6) |
88 (100.0) |
86 (97.7) |
70 (79.5) |
36 (40.9) |
50 (56.8) |
0 (0.0) |
46 (52.3) |
81 (92.0) |
78 (88.6) |
61 (69.3) |
88 (100.0) |
I | 1 (1.1) |
3 (3.4) |
0 (0.0) |
2 (2.3) |
3 (3.4) |
6 (6.8) |
9 (10.2) |
0 (0.0) |
4 (4.5) |
5 (5.6) |
6 (6.8) |
3 (3.4) |
0 (0.0) |
|
R | 3 (3.4) |
0 (0.0) |
0 (0.0) |
0 (0.0) |
15 (17.1) |
46 (52.3) |
29 (32.9) |
88 (100.0) |
38 (43.2) |
2 (2.3) |
4 (4.5) |
24 (27.3) |
0 (0.0) |
Introduction emerging strains of P. aeruginosa resistant to different antibiotics, especially carbapenem-producing isolates, are major therapeutic problems worldwide. CS is the last line of treatment for infections caused by CRPA (9). In agree with Pournajaf et al., (8) our AST result showed that CS is also the best choice in treating CRPA infections (8). In agreement with Javiya et al., (16), Pseudomonas species demonstrated marked resistance against monotherapy of cephalosporins, penicillins, fluoroquinolones, macrolides, and tetracyclines (16). In a 4-year follow-up in the US (2012 to 2015), Sader et al., (17) showed that the only antimicrobials with higher than 90% susceptibility rates were CS, ceftazidime-avibactam, and amikacin (17).
Interestingly, Goli et al., (18) and Farajzadeh Sheikh et al., (19) showed that resistance to CS in P. aeruginosa strains was increasing (2%, n =2 of 100 isolates in Goli et al, and 1.3%, n = 5 of 269 in Farajzadeh Sheikh et al., studies) (18, 19). The researchers concluded that the emergence of CS-resistant P. aeruginosa is increasing, which indicates a great challenge in treating infections caused by MDR P. aeruginosa, antibiotic stewardship, and their rational administration are suggested.
On the other hand, CRPA is considered the most severe hospital pathogens menacing public health, and the World Health Organization has subjected them to a global priority pathogens list of antibiotic-resistant microorganisms (20). In line with Azimi et al., (14) and Dogonchi et al., (11), 24.7% (n=29) of our collected isolates were resistant to IPM (11, 14). In contrast to our study, Goncalves et al., (21) showed that out of 157 collected P. aeruginosa strains, 43.9% were CRPA (21). The sources of collected bacteria and geographical distance may justify this difference in frequency. As you can see in Table 4, the frequency of resistance and virulence genes was higher in CRPA strains (P-value <0.05). Regardless of the similar distribution of blaNDM genes in Dogonchi et al., (2018) study, the frequencies of blaIMP and blaVIM genes were 90% and 40%, respectively, which differed from our study (11). Genetic differences between strains and the localization of the geographical distribution of resistance genes may be justified.
Table 4. Molecular distribution of virulence factors and resistance genes in CRPA and CSPA isolates
algD | algU | ppyR | pelA | pslA | KPC | NDM | VIM | IMP | OXA-48 | OXA-58 | OXA-24/40 | OXA-23- | Strains |
23 (73.9) |
27 (93.1) |
29 (100.0) |
11 (37.9) |
19 (65.5) |
3 (10.3) | 2 (6.9) |
8 (27.6) |
15 (51.7) |
22 (75.8) |
0 (0.0) |
1 (3.4) |
3 (10.3) |
CRPA (n= 29) |
26 (29.5) |
4 (4.5) |
44 (50.0) |
21 (23.8) |
47 (53.4) |
0 (0.0) |
0 (0.0) |
1 (1.1) |
3 (3.4) |
0 (0.0 |
0 (0.0 |
0 (0.0) |
0 (0.0) |
CSPA (n=88) |
No [(%)] Distribution of virulence and resistance genes.
The current study identified IMP-resistant P. aeruginosa strains from different clinical samples. Different resistant mechanisms in P. aeruginosa can cause cross antibiotic resistance, lead to the appearance of resistant strains, and make the treatment difficult. Biofilm production is directly related to antibiotic resistance. Efflux pumps are actively expressed in carbapenem-resistant strains. Therefore, it is essential to find a way to inhibit efflux pumps from controlling the cross-resistance and the emergence of these hard-to-treat strains.
We appreciate the sincere collaboration of the Microbiology Department, Ayatollah Amoli branch of Islamic Azad University, Department of Medical Microbiology and Biotechnology, School of Medicine, Babol University of medical sciences and Department of medical mycology and parasitology, School of Medicine, Babol University of Medical Sciences for assistance in the conduct of the study.
This project was approved by the Ethics Committee of the Babol Branch, Islamic Azad University, with the Ethical code number IR.IAU.BABOL. REC 1399.090.
This study was financially supported by the Ayatollah Amoli Branch, Islamic Azad University, Amol, north of Iran. The funding body had no role in the project's design, sampling, analysis, interpretation of data, or writing and editing of the manuscript.
Conflicts of Interest
The authors declared no conflict of interests.
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