Literature DB >> 25763199

Virulence Gene Profiles of Multidrug-Resistant Pseudomonas aeruginosa Isolated From Iranian Hospital Infections.

Nastaran Fazeli1, Hassan Momtaz1.   

Abstract

BACKGROUND: The most common hospital-acquired pathogen is Pseudomonas aeruginosa. It is a multidrug resistant bacterium causing systemic infections.
OBJECTIVES: The present study was carried out in order to investigate the distribution of virulence factors and antibiotic resistance properties of Pseudomonas aeruginosa isolated from various types of hospital infections in Iran. PATIENTS AND METHODS: Two-hundred and seventeen human infection specimens were collected from Baqiyatallah and Payambaran hospitals in Tehran, Iran. The clinical samples were cultured immediately and samples positive for P. aeruginosa were analyzed for the presence of antibiotic resistance and bacterial virulence genes using PCR (polymerase chain reaction). Antimicrobial susceptibility testing was performed using disk diffusion methodology with Müeller-Hinton agar.
RESULTS: Fifty-eight out of 127 (45.66%) male infection specimens and 44 out of 90 (48.88%) female infection specimens harbored P. aeruginosa. Also, 65% (in male specimens) and 21% (in female specimens) of respiratory system infections were positive for P. aeruginosa, which was a high rate. The genes encoding exoenzyme S (67.64%) and phospholipases C (45.09%) were the most common virulence genes found among the strains. The incidences of various β-lactams encoding genes, including bla TEM, bla SHV, bla OXA, bla CTX-M, bla DHA, and bla VEB were 94.11%, 16.66%, 15.68%, 18.62%, 21.56%, and 17.64%, respectively. The most commonly detected fluoroquinolones encoding gene was gyrA (15. 68%). High resistance levels to penicillin (100%), tetracycline (90.19%), streptomycin (64.70%), and erythromycin (43.13%) were observed too.
CONCLUSIONS: Our findings should raise awareness about antibiotic resistance in hospitalized patients in Iran. Clinicians should exercise caution in prescribing antibiotics, especially in cases of human infections.

Entities:  

Keywords:  Hospital infections; Iran; Pseudomonas aeruginosa; Virulence Factors

Year:  2014        PMID: 25763199      PMCID: PMC4329751          DOI: 10.5812/ircmj.15722

Source DB:  PubMed          Journal:  Iran Red Crescent Med J        ISSN: 2074-1804            Impact factor:   0.611


1. Background

Pseudomonas aeruginosa (P. aeruginosa) is an opportunistic pathogen causing a wide range of human infections. It is a common hospital-acquired pathogen and responsible for urinary tract infections (UTIs), respiratory infections, dermatitis, soft tissue infections, bacteremia, bone and joint infections, gastrointestinal infections, and a variety of systemic infections, particularly in patients with severe burns, bed ulcers, and in patients suffered from cancer or AIDS who are immunosuppressed (1-3). P. aeruginosa has been associated with a high rate of morbidity, and its mortality rate was reported from 18% to 61% in hospital-acquired infections (2, 4, 5). P. aeruginosa virulence factors are related to its adhesions and other secreted toxins. The phenazine operons (phzI and phzII) and genes (phzH, phzM, and phzS) encode precursor proteins involved in the formation of three phenazine compounds passively secreted by P. aeruginosa: pyocyanin, 1-hydroxyphenazine, and phenazine-1-carboxamide (6, 7), which are responsible for increasing intracellular oxidative stress (6). P. aeruginosa also has a large number of other virulence factors such as exotoxin A (exoA), alkaline protease (aprA), exoenzyme S, U, and T (exoS, exoU, exoT), elastase and sialidase, which are exoA gene and virulence factor exoS secretions by a type III section system (8-10). A zinc metalloprotease called lasB has an elastolytic activity on human tissue and especially lung tissue (11). The gene called nan1 encodes sialidase, which is responsible for adherence to the cells (11). The phospholipids contained in pulmonary surfactants may be hydrolysed by two phospholipases C encoded by plcH and plcN. An extracellular neuraminidase is thought to play an important role in implantation of the bacterium (11). Despite using potent antibiotics, invasive P. aeruginosa infection is associated with high mortality (12). In the past decade, acquired multidrug resistance, because of selective antibiotic pressure, has emerged in several countries; and in some cases, infections caused by multidrug resistant P. aeruginosa have been untreatable (13). A previous study addressed that the Iranian isolates of P. aeruginosa were resistant to trimethoprim (100%), amoxicillin (100%), ampicillin (100%), tetracycline (100%), ticarcillin (100%), carbenicillin (90%), ceftazidime (80%), clavulanic acid (69.2 %), imipenem (60%), cefepime (52%), gentamicin (50%), and ciprofloxacin (40 %) (14). Similar incidence of antibiotic resistance among P. aeruginosa strains in other countries has been reported previously (12, 15-17). This high antibiotic resistance of P. aeruginosa was against commonly used antibiotics and especially β-lactams, including broad-spectrum cephalosporins, quinolones, chloramphenicol, and tetracyclines, mainly encoded by several antibiotic resistance genes, including blaTEM, blaSHV, blaOXA, blaCTX-M, blaDHA and blaVEB (18).

2. Objectives

There was no comprehensive investigation about the molecular characterization and antimicrobial resistance properties of P. aeruginosa isolated from human clinical samples in Iran. Therefore, the present study was carried out in order to investigate the distribution of virulence and antibiotic resistance genes as well as the pattern of antibiotic resistance of P. aeruginosa isolated from Iranian hospitalized patients who suffered from UTIs, respiratory infections, burn infections, bed ulcers, and wound infections.

3. Patients and Methods

3.1. Samples and Identification of Pseudomonas aeruginosa

A total of 217 human clinical samples, including wound infections (n = 62), respiratory infections (n = 23), urinary tract infections (n = 41), bed ulcer (n = 39), and burn (n = 52) were collected from hospitalized male and females who were referred to Baqiyatallah and Payambaran hospitals, Tehran, Iran. All samples were transmitted to Microbiology and Infectious Diseases Research Center of the Islamic Azad University of Shahrekord in a cooler with ice-packs. Samples were placed on the selective medium of Pseudomonas Cetrimide Agar (PCA) (LABOBASI, Mendrisio, Switzerland) using a spreading technique. Plates were incubated for 18-24 hours and observed for suspected colonies of P. aeruginosa, which was identified by colony pigmentation, grape-like odor, motility and biochemical tests, including carbohydrate fermentation (-), citrate assimilation (+), lysine decarboxylase (-), indole (-), oxidase (+), beta-hemolysis on blood-agar (+), and DNase (-). Inocula from pure colonies on PCA were cultured on nutrient agar slants and kept at 4°C.

3.2. Antibiotic Susceptibility Test

P. aeruginosa isolates were incubated initially on the nutrient agar media (at 4°C) and their positive colonies were transferred to the Müeller-Hinton agar (HiMedia Laboratories, Mumbai, India). Antimicrobial susceptibility was performed on Mueller-Hinton agar by the standard disk diffusion method recommended by Clinical and Laboratory Standards Institute (19). This was done by dipping a sterile swab (stick into an overnight nutrient broth) and carefully swabbing the entire surface of Müeller–Hinton agar plates. The antibiotics used against the test bacteria were as follows: tetracycline (30 µg/disk); streptomycin (10 µg/disk); chloramphenicol (30 µg/disk); sulfamethoxazole (25 µg/disk); gentamicin (10 µg/disk); enrofloxacin (5 µg/disk); cephalothin (30 µg/disk); ciprofloxacin (5 µg/disk); trimethoprim (5 µg/disk); nitrofurantoin (300 µg/disk); ampicillin (10 u/disk); penicillin (10 u/disk), and erythromycin (15 µg/disk). Then, the antibiotic multidisk (Padtan Teb, Iran) was placed on the surface of the inoculated plates and gently pressed. The plates were incubated at 37°C for 18-24 h. The diameter of inhibition zone was measured in millimeters and isolates were scored as sensitive or resistant by comparing with values recommended on standard charts (19). P. aeruginosa ATCC 10145 was used as the quality control organism in antimicrobial susceptibility determination.

3.3. DNA Extraction and PCR Confirmation

Chromosomal DNA was extracted from each P. aeruginosa isolate by DNA extraction kit (DNPTM, CinnaGen, Iran) according to manufacturer’s instruction. The bacteria were confirmed using the PCR method for nan1 gene of the P. aeruginosa (20). PCR was carried out with 2 µL template DNA, 0.25 µM of each primer (F: 5’-ATGAATACTTATTTTGATAT and R: CTAAATCCATGCTCTGACCC-3’), 0.2 mM deoxyribonucleoside triphosphates, 1X reaction buffer, 2 mM MgCl2 and 1.5 U Taq DNA polymerase (Fermentas) in a total volume of 25 µL. The DNA was amplified using the following protocol: initial denaturation (94 ºC for 5 min), followed by 25 cycles of denaturation (94°C for 35 s), annealing (53°C for 45 s) and extension (72°C for 1 min), with a single final extension of 7 min at 72°C.

3.4. PCR Amplification of Virulence Genes

Three different multiplex PCR assays were used in order to amplify various virulence genes. The programmable thermal cycler (Eppendorf, Mastercycler® 5330, Eppendorf-Netheler-Hinz GmbH, Hamburg, Germany) PCR device was used in all PCR reactions. The first multiplex PCR reaction was used for the detection of algD and algU virulence genes of P. aeruginosa isolated from clinical samples. The PCR reaction was performed in a total volume of 50 µL, containing 2.5 µL of DNA template, 1.5 mM MgCl2, 200 µM dNTP (Fermentas), 0.5 µM of each primer (algDF: 5’-AAGGCGGAAATGCCATCTCC-3’ and algDR: 5’-AGGGAAGTTCCGGGCGTTTG-3’ (21) as well as algUF: 5’- CGCGAACCGCACCATCGCTC-3’ and algUR: 5’-GCCGCACGTCACGAGC-3’) (22), 1.25 U Taq DNA polymerase (Fermentas), and 5 µL PCR buffer 10X . Reactions were initiated with 1 cycle, at 95°C for 2 min, followed by 30 cycles at 94°C for 30 s, 58°C for 30 s, 72°C for 1 min and a final elongation step at 72°C for 7 min. The second multiplex PCR reaction was used for detection of lasB, toxA, plcH, plcN, and exoS virulence genes of P. aeruginosa isolated from clinical samples. List of the primers is shown in Table 1 (23) 18. The PCR reaction was performed in a total volume of 50 µL, containing 25 ng of DNA template, 10 mM Tris-HCl, 50 nmol KCl, 1.5 mM MgCl2, 200 µM dNTP (Fermentas), 12.5 pmol of each primer, 1 U Taq DNA polymerase (Fermentas) and 5 µL PCR buffer 10X . Reactions were initiated at 1 cycle at 94°C for 3 min, followed by 30 cycles at 94°C for 30 s, 55 for 1 min, 72°C for 1.5 min and a final elongation step at 72°C for 5 min. The third multiplex PCR reaction based on the method of Finnan et al. (7) and was used for the detection of exoT, exoY, exoU, apr, phzH, phzM, phzI, phzII, phzS, lasA, pvdA, pilA and pilB virulence genes. Table 1 shows the list of primers.
Table 1.

Oligonucleotide Primers Used for Virulence Genes Amplification

GeneSequence (5’–3’)Size of Product (bp)
lasB lasB F: GGAATGAACGAAGCGTTCTCCGAC284
lasB R: TGGCGTCGACGAACACCTCG
toxA toxA F: CTGCGCGGGTCTATGTGCC270
toxA R: GATGCTGGACGGGTCGAG
plcH plcH F: GCACGTGGTCATCCTGATGC608
plcH R: TCCGTAGGCGTCGACGTAC
plcN plcN F: TCCGTTATCGCAACCAGCCCTACG481
plcN R: TCGCTGTCGAGCAGGTCGAAC
exoS exoS F: CGTCGTGTTCAAGCAGATGGTGCTG444
exoS R: CCGAACCGCTTCACCAGGC
exoT exoT F: CAATCATCTCAGCAGAACCC1159
exoT R: TGTCGTAGAGGATCTCCTG
exoY exoY F: TATCGACGGTCATCGTCAGGT1035
exoY R: TTGATGCACTCGACCAGCAAG
exoU exoU F: GATTCCATCACAGGCTCG3308
exoU R: CTAGCAATGGCACTAATCG
apr apr F: TGTCCAGCAATTCTCTTGC1017
apr R: CGTTTTCCACGGTGACC
phzII phzII F: GCCAAGGTTTGTTGTCGG1036
phzII R: CGCATTGACGATATGGAAC
phzM phzM F: ATGGAGAGCGGGATCGACAG875
phzM R: ATGCGGGTTTCCATCGGCAG
phzS phzS F: TCGCCATGACCGATACGCTC1752
phzS R: ACAACCTGAGCCAGCCTTCC
phzI phzI F: CATCAGCTTAGCAATCCC392
phzI R: CGGAGAAACTTTTCCCTC
phzH phzII F: GGGTTGGGTGGATTACAC1752
phzII R: CTCACCTGGGTGTTGAAG
lasA lasA F: GCAGCACAAAAGATCCC1075
lasA R: GAAATGCAGGTGCGGTC
pvdA pvdA F: GACTCAGGCAACTGCAAC1281
pvdA R: TTCAGGTGCTGGTACAGG
pilA pilA F: ACAGCATCCAACTGAGCG1675
pilA R: TTGACTTCCTCCAGGCTG
pilB pilB F: TCGAACTGATGATCGTGG408
pilB R: CTTTCGGAGTGAACATCG

3.5. PCR Amplification of Antibiotic Resistance Genes

Various β-lactamase genes and the genes that encode DNA gyrAse (gyrA) and topoisomerase IV (parC) were detected using two separate multiplex PCR assays. Primers gyrA-F (5'-GTGTGCTTTATGCCATGAG-3') and gyrA-R (5’-GGTTTCCTTTTCCAGGTC-3') (24) were used to amplify 287 bp of the fluoroquinolone resistance-determining region of the gyrA gene. Primers parC-F (5'- CATCGTCTACGCCATGAG-3') and parC-R (5'-AGCAGCACCTCGGAATAG-3') (24) were used to amplify 267 bp of the fluoroquinolone resistance-determining region of parC. PCR amplification was performed in a 50 μL mixture, containing 1 × PCR buffer, 2.5 mM MgCl2, 0.2 mM mix of deoxynucleotide triphosphates (Fermentas), 10 pmol of each primer, 1 U of Taq DNA Polymerase (Fermentase), and 150 ng of the DNA template. Amplification of the target regions was performed in 35 cycles consisting of initial heat activation at 95 °C for 6 min, denaturation at 95 °C for 45 s, annealing at 51°C for 45 s and elongation at 72 °C for 1 min, with a final elongation at 72°C for 7 min. List of primers used for detection of various β-lactamase genes is shown in Table 2 18. The PCR reaction was performed in a total volume of 25 µL, containing 2 µL of DNA template, 1.4 mM MgCl2, 150 µM of each dNTP (Fermentas), 0.3 µM of each primers and 1 U Taq DNA polymerase (Fermentas). The cycling parameters used were as previously described (18).
Table 2.

Oligonucleotide Primers Used for β-Lactamase Genes Amplification

Antimicrobial AgentResistance GeneSequence (5’–3’)Size of Product (bp)
β-lactamase bla TEM F: ATGAGTATTCAACATTTCCG867
R: GGACTCTGCAACAAATACGC
R: CTGACAGTTACCAATGCTTA
β-lactamase bla SHV F: GGTTATGCGTTATATTCGCC867
R: TTAGCGTTGCCAGTGCTC
β-lactamase bla OXA F: ACACAATACATATCAACTTCGC814
R: AGTGTGTTTAGAATGGTGATC
β-lactamase bla CTX-M F: ATGTGCAGYACCAGTAARGT593
R: TGGGTRAARTARGTSACCAGA
β-lactamase bla DHA F: CACACGGAAGGTTAATTCTGA970
R: CGGTTARACGGCTGAACCTG
β-lactamase bla VEB F: CGACTTCCATTTCCCGATGC642

3.6. Gel Electrophoresis

Fifteen microliter of PCR products were resolved on a 1.5% agarose gel containing 0.5 mg/mL of ethidium bromide in Tris–borate–EDTA buffer at 90 V for 1 hour, also using suitable molecular weight markers. The products were examined under ultraviolet illumination.

3.7. Statistical Analysis

The results were transferred to a Microsoft Excel spreadsheet (Microsoft Corp., Redmond, WA) for analysis. Statistical analysis was performed using SPSS/16.0 software (SPSS Inc., Chicago, IL) for finding significant relationships among incidences of bacteria in males and females, virulence gene and pattern of resistance of P. aeruginosa isolated from clinical samples. χ2 test and Fisher exact 2-tailed test analysis were performed in this study. Statistical significance was regarded at a P value < 0.05.

3.8. Ethical Considerations

The present study was accepted by the ethics committees of the Baqiyatallah and Payambaran hospitals, Tehran, Iran and Microbiology and Infectious Diseases Center of the Islamic Azad University of Shahrekord Branch, Iran. Written informed consents were obtained from all the study patients or their parents.

4. Results

All the human clinical samples were examined using culture and PCR techniques. Out of 217 clinical samples, 102 (47%) were positive for P. aeruginosa (Table 3). In addition, 58 out of 127 male clinical samples (45.66%) and 44 out of 90 female clinical samples (48.88%) were positive for P. aeruginosa. We found that the patients with respiratory infections had the highest incidence of P. aeruginosa (65.21%), while the patients with UTIs had the lowest incidence (21.95%). Table 4 presents the antimicrobial resistance in the P. aeruginosa isolates from the human clinical samples. Bacterial strains exhibited the highest level of resistance to penicillin (100%), followed by tetracycline (90.19%), streptomycin (64.70%), and erythromycin (43.13%).
Table 3.

Distribution of Pseudomonas aeruginosa in Various Source of Infection According to the Gender[a]

Source of IsolationNumber of PatientsNumber of Positive Samples, No.(%)
Wound infection
M4120 (48.78)
F2116 (76.19)
Respiratory infection
M148 (57.14)
F97 (77.77)
Urinary tract infection
M256 (24)
F163 (18.75)
Bed ulcer
M2210 (45.45)
F176 (35.29)
Burn
M2514 (56)
F2712 (44.44)
Total
M12758 (45.66)
F9044 (48.88)

aAbbreviations: M, male; F, female.

Table 4.

Antimicrobial Resistance Properties in Pseudomonas aeruginosa Isolated From Clinical Infections in Human[a,b]

Source of IsolationP. aeruginosa IsolatesTE30S10C30SXTGM10NFx5CF30CIP5TMP5F/M300AM10P10E15
Wound infection
M2019173105554824206
F161512267443618163
Respiratory infection
M88524233311284
F7731232212--72
Urinary tract infection
M65315-2223--61
F322111221--131
Bed ulcer
M1085234332714105
F6531-22212-263
Burn
M14121024103333161412
F12116286222613127
Total
M585240102621161614225165828
F4440267171912128162134416

a Abbreviations: M, male; F, female.

b TE30 = tetracycline (30 µg/disk); S10 = streptomycin (10 µg/disk); C30 = chloramphenicol (30 µg/disk); SXT = sulfamethoxazole (25 µg/disk); GM10 = gentamicin (10 µg/disk); NFX5 = enrofloxacin (5 µg/disk); CF30 = cephalothin (30 µg/disk); CIP5 = ciprofloxacin (5 µg/disk); TMP5 = trimethoprim (5 µg/disk); F/M300 = nitrofurantoin (300 µg/disk); AM10 = ampicillin (10 u/disk); P10 = penicillin (10 u/disk); E15 = erythromycin (15 µg/disk).

aAbbreviations: M, male; F, female. a Abbreviations: M, male; F, female. b TE30 = tetracycline (30 µg/disk); S10 = streptomycin (10 µg/disk); C30 = chloramphenicol (30 µg/disk); SXT = sulfamethoxazole (25 µg/disk); GM10 = gentamicin (10 µg/disk); NFX5 = enrofloxacin (5 µg/disk); CF30 = cephalothin (30 µg/disk); CIP5 = ciprofloxacin (5 µg/disk); TMP5 = trimethoprim (5 µg/disk); F/M300 = nitrofurantoin (300 µg/disk); AM10 = ampicillin (10 u/disk); P10 = penicillin (10 u/disk); E15 = erythromycin (15 µg/disk). Distribution of antimicrobial resistance genes within the P. aeruginosa isolates from the human clinical samples is shown in Table 5. Genes that encode resistance to β-lactams antibiotics such as blaTEM (94.11%), blaDHA (21.56%), and blaCTX-M (18.62%) and the genes that encode resistance to fluoroquinolones, like gyrA (15. 68%) were the most common antibiotic resistance genes in the human clinical samples. Interestingly, we found that males had the highest frequency of antibiotic resistance genes. Table 6 shows the distribution of virulence genes in the P. aeruginosa isolates from the human clinical samples. The most commonly detected virulence genes of P. aeruginosa isolates from the human clinical samples were exoS (67.64%), plcH (45.09%), phzM (36.27%), exoT (36.27%), toxA (35.29%), and pilA (34.31%). Moreover, we found that isolates of burn infection had the highest frequency of virulence genes. The PCR results for detection of some virulence and antibiotic resistance genes are shown in Figures 1, 2, and 3.
Table 5.

Distribution of Antimicrobial Resistance Genes in Pseudomonas aeruginosa Isolated from Clinical Infections in Human[a]

Source of IsolationP. aeruginosa Isolates bla TEM bla SHV bla OXA bla CTX-M bla DHA bla VEB gyrA parC
Wound infection
M20202-12-1-
F16164221-21
Respiratory infection
M8712121--
F762--1---
Urinary tract infection
M65-41212-
F331-12--1
Bed ulcer
M1010234412-
F65-1--221
Burn
M1414347675-
F12102-2262-
Total
M585681314161010-
F44409356863

a Abbreviations: M, male; F, female.

Table 6.

Distribution of Virulence Genes in Pseudomonas aeruginosa Isolated From Clinical Infections in Human[a]

Source of IsolationP. aeruginosa isolates exoT exoY exoS exoU phzH apr phzII phzM phzI phzS lasA lasB pvdA pilA pilB toxA algD algU plcH plcN nan1
Wound infection
M205718-12-1-1-121024251161
F1626112-1832-238163127112
Respiratory infection
M813622-241112121--143-
F7413--212-1231325--522
Urinary tract infection
M63-21-133111-21-4-3-2-
F3111-2--1-111--12-----
Bed ulcer
M1074734-46215-24-8-74-6
F62-2-12112-21121--2212
Burn
M14105114746938726739210868
F12268243472665252132533
Total
M582619441014715237121451324625426271715
F44114254761414681313121112114619179

aAbbreviations: M, male; F, female

Figure 1.

Agarose Gel Electrophoresis of PCR Products Amplified With a Multiplex PCR Method for the plcN (481 bp), toxA (270 bp), exoS (444 bp), and plcH (608 bp) Genes From Pseudomonas aeruginosa. M = 100-bp DNA Ladder.

Figure 2.

Agarose Gel Electrophoresis of PCR Products Amplified With a Multiplex PCR Method for the exoT (1159 bp), exoU (3308 bp), apr (1017 bp), phzM (875 bp), phzS (1752 bp), and pilB (408 bp) genes From Pseudomonas aeruginosa. M = 1-kb DNA Ladder.

Figure 3.

Agarose Gel Electrophoresis of PCR Products Amplified With a Multiplex PCR Method for the blaVEB (642 bp), blaOXA (814 bp), blaDHA (970 bp), and blaCTX-M (593 bp) Genes From Pseudomonas aeruginosa. M = 1-kb DNA Ladder.

a Abbreviations: M, male; F, female. aAbbreviations: M, male; F, female

5. Discussion

The results of the present study showed that multidrug resistant P. aeruginosa is one of the main active pathogens in human clinical samples, especially wound infections, respiratory infections, UTIs, bed ulcer, and burn infections. Also, our results showed that antibiotics were used in an irregular manner in Iranian hospitals. These two findings may lead to the emergence of resistant Pseudomonas strains, which can infect patients and even healthy people in hospitals. Similar results have been reported by Zavascki et al. (25, 26), Lanini et al. (27), and Pitten et al. (28). Statistical analyses showed a significant (P < 0.01) association between the incidence of P. aeruginosa in respiratory infections (65.21%) and UTIs (21.95%). The high incidences of P. aeruginosa in respiratory infections have been previously reported (29-31). In the Viedma et al. (32) study, the main clinical wards in which drug-resistant P. aeruginosa strains were isolated included internal medicine (31.1%), surgery (17.5%), intensive care (13.1%), pulmonology (11.5%), and hematology (8.2%). Also, Viedma et al. (32) showed that out of 183 patients, 143 (78.1%) were considered infected, including 36 (19.7%) patients with lower respiratory tract infection, 30 (16.4%) patients with urinary tract infection, 28 (15.3%) patients with bacteremia, and 22 (12%) patients with intra-abdominal infection. There were significant differences (P < 0.01) in the incidence of P. aeruginosa strains between male and female patients. Al-Hasan et al. (33) reported that 62.80% of P. aeruginosa strains were isolated from hospitalized males. Also, gender-wise prevalence showed 61.78% male and 38.22% females of the study of Khan et al. (34) were infected by P. aeruginosa, which was similar to our results. One possible explanation for the high prevalence of P. aeruginosa in male patients lies in their jobs, which usually included hard works outside the house, while Iranian women are typically housewives. Therefore, they are away from contaminated work environments. The overall incidence of P. aeruginosa in human clinical samples of our study was 47%. Similar incidence rates have been reported from India (29.6%) (35), Georgia (31.5%) (36), Norway and Sweden (25.8 to 45.9%) (37), Turkey (16.4%) (38), and Brazil (37.3%) (25). The overall incidence for P. aeruginosa was 6.4 cases/100,000 population in England, Wales and Northern Ireland (39). Infections were reported more among those aged 75 years and older, especially among male patients with a rate of 52.0 cases/100,000 population compared with 19.7 cases/100,000 for female patients (the same age group) (40). Tacconelli et al. (40) reported that out of 358 patients with P. aeruginosa bacteremia, 133 (37%) were hospitalized in medical wards, 103 (29%) in ICUs, 97 (27%) in surgical wards, and 25 (7%) in neonatology wards, 45 (12%) patients had HIV infection and 28 (8%) had hematologic malignancies. Similar investigations have been done on Iranian hospitals infections (41-50). Bacterial strains of our investigation were multidrug resistant. All isolates were resistant to penicillin which shows the irregular and extreme prescription of this antibiotic. There were significant differences (P < 0.01) in the distribution of antimicrobial resistance among penicillin, nitrofurantoin, and chloramphenicol (P < 0.05) and among resistance to penicillin and ampicillin, ciprofloxacin, enrofloxacin, and gentamicin. Majority of the P. aeruginosa strains of the Japoni et al. (51) investigation were resistant to more than 5 antibiotics which was similar to our results. Shiny et al. (52) reported that out of the 500 pus and 500 urine samples screened, the percentage positivity of P. aeruginosa were 12.8% (53) and 4% (20), respectively and all (100%) samples were sensitive to imipenem, while resistance was maximum to cefotaxime (93.75%). In a study of Viedma et al. (32), which was conducted from 2007 to 2010, the prevalence of P. aeruginosa had increased from 2.8% to 15.3% over this period and all the isolates were only susceptible to colistin (100%) and amikacin (75%). High antibiotic resistances against penicillin, tetracycline, streptomycin, and erythromycin have been previously reported too (15, 17). Our results showed that 39.21% and 21.56% of bacterial strains were resistant to gentamicin and ciprofloxacin, respectively. Fazeli et al. (54) showed that 29% and 32.2% of the P. aeruginosa strains were resistant to ciprofloxacin and gentamicin, which was similar to our results. Ciprofloxacin has been stated to be the most potent available drug for the treatment of P. aeruginosa infections (55). Resistance of P. aeruginosa to ciprofloxacin was 21.56%, compared with 26.8% in Latin America (56) and 10%-32% in Europe (57, 58). The antibiotic resistant pattern found by Akingbade et al. (15) investigation showed that P. aeruginosa, on one hand, had high resistant to amoxicillin (92.7%), ampicillin (90%), cloxacillin (88.2%), cotrimoxazole (77.3%), erythromycin (72.7%), tetracycline (70.9%), streptomycin (65.5%), and ofloxacin (690%), and on the other hand, had low resistant to ceftazidime (20%), gentamicin (26.4%), levoxin (30.9%), ceftriaxone (34.5%), and ciprofloxacin (35.5%), which was similar to our results. Our results also showed that 16.66% and 6.86% of our bacterial strains were resistant to chloramphenicol and nitrofurantoin, respectively. Similar results have been reported by Lim et al. (18) from Malaysia and Smith et al. (59) from Nigeria. Chloramphenicol and nitrofurantoin are banned antibiotics and the slight antibiotic resistance to these drugs detected in our study indicates that irregular and unauthorized use of them may have occurred in Iran. Several genes which encode resistance to β-lactams antibiotics such as blaTEM (94.11%), blaDHA (21.56%), blaOXA (15.68%), blaVEB (17.64%), blaSHV (16.66%), and blaCTX-M (18.62%) and the genes that encode resistance to fluoroquinolones like gyrA (15. 68%) and parC (2.94%) were detected in the bacterial strains of our study. There were statistically significant differences (P < 0.05) amongst the incidences of genes encoding resistance to β-lactams and those encoding resistance to fluoroquinolones. Also, statistical analyses showed a significant (P < 0.05) association between the incidence of blaTEM and other genes encoding resistance to β-lactams. There were no significant differences between the incidence of gyrA and parC genes. Of 82 P. aeruginosa stains isolated from human clinical specimens, 15%, 74%, 74%, 76%, 82%, and 76% had tetA, tetB, blaVIM2a, blaVIM2b, aacA, and blaOXA, respectively. A recent study performed within our region in Egypt reported that the majority (97%) of P. aeruginosa isolates were beta-lactamase producers (3). P. aeruginosa isolates of the Du et al. (60) study showed the high incidence of antibiotic resistance genes, including blaTEM-1 (100%), blaPSE-1 (100%), bla(96.2%), bla(91.3%), bla(78.3%), blaVIM-3 (26.1%), bla(21.7%), and bla(8.7%). In the human isolates, the most prevalent extended-spectrum β-Lactamases (ESBLs) in P. aeruginosa are blaand blain Taiwan (61). However, in the present study, we found that blaTEM (94.11%) and blaDHA (21.56%) were the most commonly detected antibiotic resistance genes. The results of disk diffusion method were confirmed the results of PCR amplification of resistance genes. Our results indicated the high presence of virulence factors in P. aeruginosa isolates. Totally, exoS (67.64%) and plcH (45.09%) were the most commonly detected virulence genes. There were statistically significant differences (P < 0.05) amongst the incidences of exoS and exoT and exoU, also P < 0.05 amongst the incidences of phzM and phzI, phzS and phzH genes. There were no significant differences amongst the incidences of lasA, lasB, plcH, and plcN. Also, statistical analyses showed a significant (P < 0.05) association between the incidences of pilA, pilB, algD, and algU. The exoS gene is directly translocated into eukaryotic cells by the contact-dependent type III secretory process and, as such, it provides the bacterium with a mechanism for manipulating the eukaryotic cells it encounters. In support of exoS contributing to P. aeruginosa pathogenicity, bacterial translocation of exoS into epithelial cells results in a general inactivation of cellular function, as recognized by the inhibition of DNA synthesis, loss of focal adhesion, cell rounding, and microvillus effacement (62, 63). High importance of the exoS, exoU, and exoT genes of P. aeruginosa in the pathogenicity of lung diseases has been reported before (10). Also, the exoS gene contributed to dissemination in burn, lung diseases and keratitis (10, 53, 64). Our results showed that the exoS gene had the highest incidence in human clinical samples, including wound, respiratory and urinary tract infections, bed ulcer, and burn. The plcH gene is responsible for proinflammatory activities (9), virulence in animal models (66), pulmonary inflammation (9), and inhibition of oxidative burst of neutrophils (65). Similar results have been reported previously from Malaysia (66), Australia (67), Jamaica (68), and Lebanon (17). As far as we know, this investigation is the most comprehensive report of virulence factors and antibiotic resistance properties of P. aeruginosa isolated from Iranian human clinical samples. Our results revealed that all the exo, apr, phz, las, pvd, pil, tox, alg, plc, and nan virulence genes are predominant in human infections. Antibiotic resistance against penicillin, tetracycline, and streptomycin were high. Prescription of ciprofloxacin, nitrofurantoin, and chloramphenicol can be effective for the treatment of human infections due to P. aeruginosa in our area. Hence, judicious use of antibiotics is required by clinicians.
  52 in total

1.  Report: prevalence and resistance pattern of Pseudomonas aeruginosa against various antibiotics.

Authors:  Jamshaid Ali Khan; Zafar Iqbal; Saeed U R Rahman; Kalsoom Farzana; Abbas Khan
Journal:  Pak J Pharm Sci       Date:  2008-07       Impact factor: 0.684

2.  Virulence gene distribution in clinical, nosocomial and environmental isolates of Pseudomonas aeruginosa.

Authors:  R S Bradbury; L F Roddam; A Merritt; D W Reid; A C Champion
Journal:  J Med Microbiol       Date:  2010-04-29       Impact factor: 2.472

3.  Functional analysis of genes for biosynthesis of pyocyanin and phenazine-1-carboxamide from Pseudomonas aeruginosa PAO1.

Authors:  D V Mavrodi; R F Bonsall; S M Delaney; M J Soule; G Phillips; L S Thomashow
Journal:  J Bacteriol       Date:  2001-11       Impact factor: 3.490

4.  Interruption of multiple cellular processes in HT-29 epithelial cells by Pseudomonas aeruginosa exoenzyme S.

Authors:  J C Olson; J E Fraylick; E M McGuffie; K M Dolan; T L Yahr; D W Frank; T S Vincent
Journal:  Infect Immun       Date:  1999-06       Impact factor: 3.441

5.  ExoS and ExoT ADP ribosyltransferase activities mediate Pseudomonas aeruginosa keratitis by promoting neutrophil apoptosis and bacterial survival.

Authors:  Yan Sun; Mausita Karmakar; Patricia R Taylor; Arne Rietsch; Eric Pearlman
Journal:  J Immunol       Date:  2012-01-16       Impact factor: 5.422

6.  Transcriptional analysis of the Pseudomonas aeruginosa genes algR, algB, and algD reveals a hierarchy of alginate gene expression which is modulated by algT.

Authors:  D J Wozniak; D E Ohman
Journal:  J Bacteriol       Date:  1994-10       Impact factor: 3.490

7.  Detection of point mutations associated with antibiotic resistance in Pseudomonas aeruginosa.

Authors:  Neda Gorgani; Scott Ahlbrand; Andrew Patterson; Nader Pourmand
Journal:  Int J Antimicrob Agents       Date:  2009-08-04       Impact factor: 5.283

8.  Characterization of Pseudomonas aeruginosa isolated from clinical and environmental samples in Minia, Egypt: prevalence, antibiogram and resistance mechanisms.

Authors:  Gamal F Gad; Ramadan A El-Domany; Sahar Zaki; Hossam M Ashour
Journal:  J Antimicrob Chemother       Date:  2007-09-29       Impact factor: 5.790

9.  Pseudomonas aeruginosa infections in patients, hospital means, and personnel's specimens.

Authors:  Hossein Fazeli; Reza Akbari; Sharareh Moghim; Tahmineh Narimani; Mohammad Reza Arabestani; Ali Reza Ghoddousi
Journal:  J Res Med Sci       Date:  2012-04       Impact factor: 1.852

10.  Diversity of Antimicrobial Resistance and Virulence Determinants in Pseudomonas aeruginosa Associated with Fresh Vegetables.

Authors:  Kashina Allydice-Francis; Paul D Brown
Journal:  Int J Microbiol       Date:  2012-11-20
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  18 in total

Review 1.  Role of Host and Bacterial Lipids in Pseudomonas aeruginosa Respiratory Infections.

Authors:  Pamella Constantino-Teles; Albane Jouault; Lhousseine Touqui; Alessandra Mattos Saliba
Journal:  Front Immunol       Date:  2022-07-04       Impact factor: 8.786

2.  Addition time plays a major role in the inhibitory effect of chitosan on the production of Pseudomonas aeruginosa virulence factors.

Authors:  P Kašparová; S Boková; M Rollová; M Paldrychová; E Vaňková; K Lokočová; J Michailidu; O Maťátková; J Masák
Journal:  Braz J Microbiol       Date:  2022-03-02       Impact factor: 2.214

3.  Antimicrobial resistance and putative virulence genes of Pseudomonas aeruginosa isolates from patients with respiratory tract infection.

Authors:  Heba Y Al Dawodeyah; Nathir Obeidat; Luay F Abu-Qatouseh; Asem A Shehabi
Journal:  Germs       Date:  2018-03-03

4.  The Effect of Silver Nanoparticles on Pyocyanin Production of Pseudomonas aeruginosa Isolated From Clinical Specimens.

Authors:  Mahboobeh Najafi; Mahboobeh Nakhaei Moghaddam; Ehsan Yousefi
Journal:  Avicenna J Med Biotechnol       Date:  2021 Apr-Jun

5.  Coordination of las regulated virulence factors with Multidrug-Resistant and extensively drug-resistant in superbug strains of P. aeruginosa.

Authors:  Sanaz Dehbashi; Mohammad Reza Pourmand; Mohammad Yousef Alikhani; Sara Soleimani Asl; Mohammad Reza Arabestani
Journal:  Mol Biol Rep       Date:  2020-05-30       Impact factor: 2.742

6.  Vancomycin-Resistant Pseudomonas Aeroginosa in the Cases of Trauma.

Authors:  Koorosh Ahmadi; Amir Masoud Hashemian; Ehsan Bolvardi; Peyman Khadem Hosseini
Journal:  Med Arch       Date:  2016-01-31

7.  Profile of Virulence Factors in the Multi-Drug Resistant Pseudomonas aeruginosa Strains of Human Urinary Tract Infections (UTI).

Authors:  Asghar Habibi; Ramin Honarmand
Journal:  Iran Red Crescent Med J       Date:  2015-12-22       Impact factor: 0.611

8.  Occurrence of blaTEM and blaCTXM Genes and Biofilm-Forming Ability among Clinical Isolates of Pseudomonas aeruginosa and Acinetobacter baumannii in Yaoundé, Cameroon.

Authors:  Estelle Longla Madaha; Hortense Kamga Gonsu; Rhoda Nsen Bughe; Marie Christine Fonkoua; Collins Njie Ateba; Wilfred Fon Mbacham
Journal:  Microorganisms       Date:  2020-05-11

9.  Association between Beta-lactam Antibiotic Resistance and Virulence Factors in AmpC Producing Clinical Strains of P. aeruginosa.

Authors:  Sanaz Dehbashi; Hamed Tahmasebi; Mohammad Reza Arabestani
Journal:  Osong Public Health Res Perspect       Date:  2018-12

10.  Presence of exoY, exoS, exoU and exoT genes, antibiotic resistance and biofilm production among Pseudomonas aeruginosa isolates in Northwest Iran.

Authors:  Somayeh Azimi; Hossein Samadi Kafil; Hossein Bannazadeh Baghi; Saeed Shokrian; Khadijeh Najaf; Mohammad Asgharzadeh; Mehdi Yousefi; Firooz Shahrivar; Mohammad Aghazadeh
Journal:  GMS Hyg Infect Control       Date:  2016-02-22
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