Literature DB >> 32373303

Prevalence of β-lactamase genes, class 1 integrons, major virulence factors and clonal relationships of multidrug-resistant Pseudomonas aeruginosa isolated from hospitalized patients in southeast of Iran.

Hosein Sharifi1, Gholamreza Pouladfar2, Mohammad Reza Shakibaie1,3, Bahman Pourabbas2, Jalal Mardaneh4, Shahla Mansouri1,3.   

Abstract

OBJECTIVES: Pseudomonas aeruginosa is one of the most important nosocomial pathogens causing a high rate of mortality among hospitalized patients. Herein, we report the prevalence of antibiotic resistance genes, class 1 integrons, major virulence genes and clonal relationship among multidrug- resistant (MDR) P. aeruginosa, isolated from four referral hospitals in the southeast of Iran.
MATERIALS AND METHODS: In this study, 208 isolates of P. aeruginosa were collected from four referral hospitals in southeast of Iran. Disk diffusion method was used to determine susceptibility to 13 antibacterial agents. AmpC was detected by phenotypic method and β-lactamase genes, virulence genes and class 1 integrons were detected by PCR. Clonal relationship of the isolates was determined by RAPD-PCR.
RESULTS: All the isolates were susceptible to polymyxin-B and colistin. Overall, 40.4% of the isolates were MDR, among which resistance to third generation cephalosporins, aminoglycosides, and carbapenems was 47.5%, 32.3% and 40%, respectively. None of the isolates was positive for bla NDM-1 genes, while 84.5% and 4.8% were positive for the bla IMP-1 and bla VIM, metallo-β-lactamase genes, respectively. Incidence of class 1 integrons was 95% and AmpC was detected in 33% of the isolates. Prevalence of exoA, exoS, exoU, pilB and nan1 were 98.8%, 44%, 26%, 8.3% and 33.3%, respectively. RAPD profiles identified four large clusters consisting of 77 isolates, and two small clusters and three singletons.
CONCLUSION: The rate of MDR P. aeruginosa isolates was high in different hospitals in this region. High genetic similarity among MDR isolates suggests cross-acquisition of infection in the region.

Entities:  

Keywords:  Antibiotic resistance; Beta-lactamases; Class 1 integrons; Pseudomonas aeruginosa; RAPD-PCR; Virulence factors

Year:  2019        PMID: 32373303      PMCID: PMC7196353          DOI: 10.22038/ijbms.2019.35063.8340

Source DB:  PubMed          Journal:  Iran J Basic Med Sci        ISSN: 2008-3866            Impact factor:   2.699


Introduction

Pseudomonas aeruginosa is a Gram-negative opportunistic pathogen and a common source of infections in hospitals, particularly in intensive care units (ICUs), where the organism infects 10-15% of the patients. Rapid increase of multidrug-resistant P. aeruginosa (MDRPA) isolates in clinical settings worldwide has resulted in increased mortality rate (1, 2). Several mechanisms are involved in P. aeruginosa resistance to antimicrobial agents such as β-lactamase production, target mutation, efflux pumps over-expression, decrease in membrane permeability and chromosomal expression of resistance encoding genes (3). Due to the pressure caused by the overuse of β-lactam antibiotics in the hospitals, various forms of β-lactamases such as the extended spectrum β- lactamases (ESBLs), AmpC and metallo-β-lactamases (MBLs) have evolved (4). Integrons are also important factors in dissemination of antibacterial resistance among different bacterial species and the association between integrons and drug resistance has been shown (5). Among the integron classes, class 1 integrons (int1) was the most prevalent among clinical isolates of P. aeruginosa in Ahvaz, Iran (6). In addition to antibiotic resistance, P. aeruginosa produces various virulence factors contributing to pathogenicity of the microorganism. Among these virulence factors are a variety of secreted proteins such as proteases, phospholipases, and exotoxin A (7). In addition, exoenzyme S is a virulence factor encoded by the exoS gene. It is an ADP ribosyltransferase secreted by a type-III secretion system (TTSS), delivered directly into the cytosol of epithelial cells. Another protein, exotoxin U (ExoU), is a necrotizing toxin with phospholipase activity, unique cytotoxic effect, capable of destroying cellular monolayers during short infection periods and plays a role in the development of septic shock (8). In some P. aeruginosa hospital isolates, a gene called nan1 encodes an extracellular neuraminidase that is responsible for the adherence to the respiratory tract and facilitates long term infection in cystic fibrosis patients (9). In recent epidemiological studies, random amplified polymorphic DNA (RAPD) PCR has been extensively used for molecular characterization of bacteria due to its simplicity, rapidity, sensitivity, reproducibility and low cost. It can determine genetic diversity without prior knowledge of the genome under study (10). This study was aimed to investigate the antibiotic resistance profiles, prevalence and production of different type of β-lactamases (ESBL, AmpC and MBL), class 1 integron, and five major virulence genes (exoA, exoS, exoU, pilB, and nan1) in clinical isolates of MDR P. aeruginosa collected from four main referral hospitals in Shiraz and Kerman cities, in southeast of Iran. The clonal relationship of the MDR isolates was also determined. Primers used in present study to detect genes and integrolls Antibiotic resistant profile of Pseudomonas aeruginosa collected from hospitalized patients of four hospitals in Iran based on source of isolation Amikacin (AK), Tobramycin (TN), Gentamicin (GM), cefepime (CPM), ceftazidime (CAZ), ceftriaxone (CRO), aztreonam (ATM), imipenem (IMI), meropenem (MEM), ciprofloxacin (CIP), piperacillin/tazobactam (PTZ) Prevalence of multi-drug resistance, β-lactamases production and class 1 integron among Pseudomonas aeruginosa from hospitalized patients of four hospitals of Iran MDR= multidrug-resistant, MBL= metallo-β-lactamase, ESBL= extended spectrum-β-lactamase, IMI= imipenem, intΙ1= class 1 integrons integrase gene. Value in bracket indicate % in MDR population.*.NDM gene was not detected in any isolate. Others = fluids/c, Nose/c, etc Agarose gel electrophoresis of PCR products of virulent genes M: marker (100 bp); NC: negative control; PC: positive control Distribution of exoS, exoU, pilB, nan1 and exoA genes among hospital isolates of MDR Pseudomonas aeruginosa from four hospitals in southeast of Iran. The error bar indicates average of three independent experiments Clonal relationships among Pseudomonas aeruginosa isolates recovered from hospitals in two geographic locations in Iran shown by RAPD-PCR fingerprints. Banding patterns were analyzed by the unweighted pair-group method with arithmetic averages (UPGMA) clustering using Gel Compare II software, version 4.0 (Applied Maths, Sint-Matenslatem, Belgium). The vertical lines show 80% similarity cut-off. *N= Namazi, F= Faghihi. G= Ghotbeddin (Shiraz, Iran) and Sh= Shafa hospitals (Kerman, Iran)

Materials and Methods

From September 2013 to November 2014, a total of 208 non-duplicate isolates of P. aeruginosa were recovered from inpatients of four main referral hospitals of A (Namazi with 800 beds), B (Faghihi with 400 beds), C (Ghotbeddin with 80 beds) in Shiraz and D (Shafa with 400 beds) in Kerman, Iran. Samples were taken by expert technicians from hospitalized patients admitted to adult ICUs, NICUs, burn, respiratory care units, general medical and surgical wards, emergency and kidney transplantation wards. The sampling procedure from wound included swabs taken from clinically deep areas of the burn wounds. Blood culture was prepared from patients with suspected bacteremia or sepsis and inoculated into BACTEC™ blood culture medium. The other samples were placed in stuart transport medium (Merck, Darmstadt - Germany) and transferred to the laboratory for identification by standard microbiological tests (11). The bacterial isolates were inoculated into sterile True North TM Cryogenic vials (TNC) containing 1 ml of sterile tryptic soy broth (TSB) (BioMerieux, Marcy-I’Etoile, France), mixed with glycerol (40%) and stored at -70 °C until further examination (11). Kirby–Bauer disk diffusion method was used for antimicrobial susceptibility test as recommended by Clinical and Laboratory Standards Institute guidelines (CLSI-2014) (12). All antibiotic disks were purchased from Mast Co Ltd, UK and used as per manufacturer’s instructions. The following disks were used for antibiotic sensitivity assay (µg per disk); amikacin (AK 30), tobramycin (TN 10), gentamicin (GM 10), cefepime (CPM 30), ceftazidime (CAZ 30), ceftriaxone (CRO 30), aztreonam (ATM 30), imipenem (IMI 10), meropenem (MEM 10), ciprofloxacin (CIP 5), piperacillin/tazobactam (PTZ 110), polymyxin B (PB 300 units) and colistin (CL 10). Minimum inhibitory concentration (MIC) for imipenem resistance isolates was checked by E-strip test (Liofilchem Co., Italy) as CLSI guideline (13). P. aeruginosa ATCC 27853 was used as the quality control strain for antimicrobial susceptibility testing throughout this study. ESBL production was determined by double-disk synergy test (DDST), according to CLSI guidelines and manufacturer’s protocol (MastTM extended spectrum β-lactamase set; CPD10) (12). Cefotaxime (30 μg) and ceftazidime (30 μg) disks alone or in combination with clavulanic acid (30/10 μg) were used for ESBL detection. An increase in zone diameter of ≥5mm around the disks containing clavulanic acid indicated production of ESBL by the test organism. To counteract the effect of high-level expression of the naturally produced AmpC-type β-lactamase, double-disk synergy test was also performed on cloxacillin (200 μg/ml) containing plates (14). Detection of MBL was carried out by MBL-strips (Liofilchem Co, Italy). Briefly, a strip containing imipenem (4-256 µg) on one side and imipenem+EDTA (1-64 µg) on the other side (IMI/IMD) was placed on a Muller Hinton agar plate inoculated with the test organism. The tests were considered positive when the ratio of IMI/IMD was ≥ 8 mm. The results were confirmed by modified Hodges test (15). Production of AmpC by the isolates was determined using Muller- Hinton agar (BioMerieux, France) plates, inoculated with Esherichia coli ATCC 25922 cefoxitin-susceptible strains. A cefoxitin disk (FOX 30 µg) was placed between two blank disks each containing 1:1 mixture of saline and Tris-EDTA 100 × solutions. The paper blank was inoculated with P. aeruginosa test isolates. Flattening of the growth inhibition zone toward the paper disk indicates AmpC production (16). The presence of MBL genes, VIM, IMP, NDM and class 1 integrons (IntΙ1) was assessed by PCR using specific sets of forward and reverse primers, as shown in Table 1. The bacterial cells were grown overnight on Luria-Bertani (LB) agar. The whole genomic DNA was extracted from single colonies using the DNA genomic extraction kit (Thermo Scientific, Vilnius, Lithuania) and used as a template for PCR amplification, as described by the manufacturer. PCR reaction mixtures (25 µl) consisted of 2.5 units of Taq DNA polymerase (Thermo Scientific Co), 10 pmol of each primer, 1 µl of dNTP mix (Thermo Scientific Co), 2 µl of DNA template in the PCR buffer provided by manufacturer (Cinnagen, Iran). DNA amplification was conducted in a temperature gradient thermal cycler (Applied Biosystems, 96 well, Veriti, USA). The PCR was as follows; one cycle pre-denaturation at 94 °C for 5 min, 35 cycles of denaturation at 94 °C for 30 sec, annealing at 55 °C for 30 sec (for int1and blaIMP-1 gene temperature was 50 °C), and extension at 72 °C for 30 sec followed by a final extension at 72 °C for 10 min. PCR products (10 µl ) were subjected to gel electrophoresis using 1% agarose gel (Merck, Germany) for 1 hr, stained with UV illuminating dye (Gel Red) and visualized by a UV-gel documentation system (Gel logic200, Kodak, USA) (17).
Table 1

Primers used in present study to detect genes and integrolls

target genes primer sequence (5 ´→ 3 ´ ) size (bps) reference
exoSF: ATC CTC AGG CGT ACA TCCR: ACG ACG GCT ATC TCT CCA C328(17)
exoUF: GAT TCC ATC ACA GGC TCGR: CTA GCA ATG GCA GTA ATC G3308(17)
pilBF: TCG AAC TGA TGA TCG TGGR: CTT TCG GAG TGA ACA TCG408(17)
nan1F: ACG CTC CGT CCA GCC GGAR: GTC TGG ACG ACG GCG GCA221(18)
exoAF: GACAACGCCCTCAGCATCACCAGCR: CGCTGGCCCATTCGCTCCAGCGCT396(18)
bla VIM1 F: CCG ATG GTG TTT GGT CGC ATR: GAA TGC GCA GCA CCA GGA391(41)
bla IMP1 F: CTA CCG CAG CAG AGT CTT TGR: AAC CAG TTT TGC CTT ACC AT587(41)
bla NDM F: GGT TTG GCG ATC TGG TTT TCR: CGG AAT GGC TCA TCA CGA TC621(42)
i nt I1F: GTT CGG TCA AGG TTC TGR: GCC AAC TTT CAG CAC ATG923(41)
Individual colonies of P. aeruginosa isolates were used for detection of exoA, exoS, exoU, pilB, and nan1 genes using the primers listed in Table 1, as described previously (9, 17, 18). RAPD-PCR was used RAPD primers 208 (5´-ACGGCCGACC-3´) and 272 (5´- AGCGGGCCAA- 3´), as described earlier (19). The amplification protocol consisted of 25 µl RAPD- PCR mixture buffer (10 mM Tris/HCl, 50 mM KCl, 2.5 mM MgCl2, pH 8.3) containing 250 µM of each dNTP, 40 pmol oligonucleotide, 1 U Taq DNA polymerase Invitrogen (Invitrogen, CA, USA) and 40 ng template DNA. A negative control contained all the components except template DNA. PCR products were separated in 1.5% agarose gels and the resulting band patterns were analyzed using unweighted pair-group method with arithmetic averages (UPGMA) clustering (Gel Compare II software, version 4.0, Applied Maths, Sint-Matenslatem, Belgium). Isolates with 96% or greater similarity were considered as identical, and a cut-off value of 80% similarity was used for clustering. All analyses were performed using SPSS, version 16.0 (SPSS Inc, Chicago, IL, USA, 2014). Chi-square test was used to investigate the differences between distributions of categorical data. Two-tailed; P-values of ≤ 0.05 were considered statistically significant.

Results

One hundred isolates were from hospital A (31% from urine as the most frequent), 55 from hospital B (44% from sputum of patients with respiratory tract infection as the most frequent), 27 were from hospital C (all from burn exudates) and 26 from hospital D (all from burn exudates) and antibacterial susceptibility profiles of the P. aeruginosa isolates to 13 antibiotics are presented in Table 2. All isolates were susceptible to polymyxin B and colistin. Overall, 40.4% (n=84) of the isolates were MDR and 40% were carbapenem-resistant. From 84 MDRPA isolates, 53 (63%) were resistant to 11 antibiotics, of which 36 isolates were recovered from burn exudates. The rate of MDR P. aeruginosa (defined as resistance to at least 3 antibiotic classes) was 40.4% (in 208 isolates), including 68% from burn exudates, 37.5%, from urinary tract infection and 17.4% from blood samples.
Table 2

Antibiotic resistant profile of Pseudomonas aeruginosa collected from hospitalized patients of four hospitals in Iran based on source of isolation

source number of isolate number (%) resistant isolates
PTZ CIP MEM IMI ATM CRO CAZ CPM GM TN AK
burn exudate 5337(69.8)34(64.15)36(67.92)35(66.03)41(77.35)41(77.35)31(58.49)37(69.81)35(66.03)35(66.03)33(62.26)
urine 4812(25)16(33.33)17(35.41)17(35.41)14(29.16)30(62.50)13(27.08)13(27.08)17(35.41)15(31.25)13(27.08)
sputum 297(24.13)9(31.03)11(37.93)10(34.48)8(27.58)18(62.06)8(27)8(27.58)8(27.58)7(24.13)6(20.68)
blood 234(17.39)1(4.34)4(17.39)3(13.04)4(17.39)12(52.17)3(13.04)4(17.39)4(17.39)2(8.69)1(4.34)
wound 223(13.63)6(27.27)5(22.72)5(22.72)7(31.81)14(63.63)6(27.27)5(2.72)5(22.72)5(22.72)5(22.72)
eye 141(7.14)1(7.14)6(42.85)5(35.71)5(35.71)8(57.14)1(7.14)1(7.14)1(7.14)1(7.14)1(7.14)
others 192(10.52)3(15.78)7(36.84)7(36.84)5(26.31)11(57.89)2(10.52)3(15.78)3(15.78)2(10.52)3(15.78)
total 20866(31.73)70(33.65)86(41.34)82(39.42)84(40.38)134(64.42)64(30.76)71(34.13)73(35.09)67(32.21)62(29.80)

Amikacin (AK), Tobramycin (TN), Gentamicin (GM), cefepime (CPM), ceftazidime (CAZ), ceftriaxone (CRO), aztreonam (ATM), imipenem (IMI), meropenem (MEM), ciprofloxacin (CIP), piperacillin/tazobactam (PTZ)

The rates of ESBL, AmpC and MBL production among the MDRPA are shown in Table 3. The highest rate of AmpC production was detected in isolates recovered from burn exudates of hospitals C and D (n=18, 50%). MBL activity was detected in 64.3% (n=54) of the MDR isolates, and blaIMP-1 and blaVIM genes were detected in 84.5% (n=71) and 4.8% (n=4) of these isolates, respectively. No blaNDM was detected in this study. In addition, class 1 integrons was detected in 95% (n= 80) of the MDR isolates.
Table 3

Prevalence of multi-drug resistance, β-lactamases production and class 1 integron among Pseudomonas aeruginosa from hospitalized patients of four hospitals of Iran

source/samples number of isolates % MDR ESBL MBL(in MDRPA) AmpC IMI mean MIC (µg/ml) (E-test) *MBL genes
IMP-1 VIM
burn exudate 5336(68)46(86.8)32(89.9)18(50)6429(80)4(11)
urine 4818(37.5)32(66.7)9(50)5(27.7)6414(77)
sputum 2911(38)20(69)6(54.5)1(9.1)12810(90)-
blood 234(17.4)12(52)1(25)-324(100)-
wound 226(27.3)15(68)2(33.3)3(50)646(100)-
eye 143(21.5)6(42.8)3(50)1(33.3)643(100)-
others 196(31.5)14(73.7)1(16.7)-325(83)-
total 20884(40.4)145(70)54(64.3)28(33)-71(84.5)4(4.8)

MDR= multidrug-resistant, MBL= metallo-β-lactamase, ESBL= extended spectrum-β-lactamase, IMI= imipenem, intΙ1= class 1 integrons integrase gene. Value in bracket indicate % in MDR population.*.NDM gene was not detected in any isolate. Others = fluids/c, Nose/c, etc

The exoA gene was detected in all 208 isolates and was the most frequent gene in both MDR and non MDR P. aeruginosa isolates with a total frequency of 98.8% and 93.5%, respectively. The second most frequent virulence gene in the 84 MDR isolates was exoS (44%), followed by nan1 (33.3%), exoU (26%) and pilB (8.3%) (Figures 1 and 2).
Figure 1

Agarose gel electrophoresis of PCR products of virulent genes

Figure 2

Distribution of exoS, exoU, pilB, nan1 and exoA genes among hospital isolates of MDR Pseudomonas aeruginosa from four hospitals in southeast of Iran. The error bar indicates average of three independent experiments

Based on RAPD-PCR profiles, the number of bands ranged from 10 to 19 with sized from 200–2000 bps. As shown in Figure3, four clusters were identified 80% similarity with 95% identical band patterns, indicating similar genetic backgrounds. We also found two small clusters (two member isolates) and three singletons. Most of the cluster 1 isolates were from hospital D in Kerman and most of cluster 2 isolates were recovered from hospitals A (36%), B (50 %) and C (14 %) in Shiraz.
Figure 3

Clonal relationships among Pseudomonas aeruginosa isolates recovered from hospitals in two geographic locations in Iran shown by RAPD-PCR fingerprints. Banding patterns were analyzed by the unweighted pair-group method with arithmetic averages (UPGMA) clustering using Gel Compare II software, version 4.0 (Applied Maths, Sint-Matenslatem, Belgium). The vertical lines show 80% similarity cut-off. *N= Namazi, F= Faghihi. G= Ghotbeddin (Shiraz, Iran) and Sh= Shafa hospitals (Kerman, Iran)

Discussion

MDRPA has emerged as one of the most frequently observed nosocomial infectious agents causing a high rate of mortality among hospitalized patients (20). According to European Centre for Disease Prevention and Control 2012, point prevalence survey of healthcare-associated infections, it accounted for 8.9% of nosocomial infections, and 17.4% of lower respiratory tract infections in European acute care hospitals (21). In the present study, and the rate of MDR P. aeruginosa was 40.4% and was highest in the isolates obtained from burn exudates (68%), followed by urinary tract infection isolates (37.5%) and blood samples (17.4%). A report from a surveillance study of 65 laboratories in the United States (1998 to 2001) showed that 7.0% of clinical isolates of P. aeruginosa from non-ICU patients and 9.1% of isolates from ICU patients were MDR. In another surveillance study conducted on MDRPA in an urban tertiary-care teaching hospital in USA in 2002, it was shown that the rate of MDR was 32% and increased by more than 20% over a five-year period (22). In another investigation in a tertiary care hospital in India from February 2012 to January 2013, the rate of MDRPA was 41.3% which is similar to our results (23). Overall, the rates of resistance of our isolates recovered from burn exudates were significantly higher than that of the other sources (P<0.05). Similar rates have been reported from other centers in Iran including 45.3% among burn patients studied in 2012 in Guilan by Nikokar et al. (24), and 45% by Fazeli et al. (25) in 2017 from patients at the university teaching hospital in Iran. Higher rates of MDRPA were reported by Yousefi et al. (2011-2012) in Shiraz (62.8%) and Ghanbarzadeh et al. (2015) from a single center for burn patients in Tehran, Iran (93.1%) (26, 27). In our study, burn isolates exhibited the highest degree of resistance (>60%) to 11 antibiotics compared to the isolates from other sources (Table 2). Imipenem resistance was detected in 84.5% of (71 out of 84) MDRPA isolates and 39% (82 out of 208) of all P. aeruginosa isolates. As observed, compared to the isolates from other sources MDRPA isolated from burn exudates had the highest rate of ESBL (86.8%), MBL (89.8%) and AmpC (50%) production (Table 3). In a report from burn patients in Hospital C in 2006, the rate of ESBL production was 4.3%, AmpC was 11.4% and MBL was 0% (28). Excessive use of antibiotics could be associated with the development of more resistant strains as a result of and horizontal gene spread. High frequencies of ESBL production in P. aeruginosa isolates from burn patients were reported from Iran by Rafiee et al. (39.2% ESBL, 37.3% MBL, and 68.6% AmpC production among 51 MDRPA isolates) (29). In a research carried out by Salimi and Eftekhar on 128 imipenem-resistant isolates of P. aeruginosa in Tehran, Iran, 12.5% were capable of producing ESBL, 25% MBL, and 81% produced AmpC β-lactamases (30). MBL blaVIM and blaIMP-1 genes are the common in MDR isolates of P. aeruginosa in Iran (31-33). The rate of blaIMP-1 gene in our study was higher than those reported from other parts of Iran. Also, 95.2% of our MDRPA isolates had IntI1 gene which is similar with the study of Khosravi et al. from Ahvaz and Yousefi et al. from Tehran (6, 34). However, lower rate of IntI1 gene were reported in other parts of Iran (1, 24, 34). Investigating the three MBL genes, blaVIM, blaIMP-1 and blaNDM among MDRPA strains, revealed that all imipenem-resistant isolates harbored blaIMP-1 gene. The common MBL genes in Asia are blaVIM and blaIMP-1 (31). A higher rate of blaIMP-1 gene was detected in the present study in comparison with other Iranian studies: Shahcheraghi et al. 0% in 2010, Kalanter et al. 3% in 2011 and 2012, and Sarhangi et al. 9.75% in 2012 (31, 35, 36). The rate of blaVIM gene was 4.8% detected in 4 MDRPA strains isolated from burn exudates, higher than similar studies from Iran (31, 37). In addition, recently our group identified one strain of P. aeruginosa harboring the blaNDM gene in Kerman, Iran (unpublished result). Presence of diverse virulence genes in P. aeruginosa hospital isolates has been shown to associate with the intensity and severity of infections (38). The high worldwide prevalence of exotoxin A in P. aeruginosa has resulted in its use for identification of clinical isolates (39). The prevalence rates of exoS and nan1 genes were significantly higher in burn exudates (50% for exoS and 47% for nan1, respectively) than in other samples (P=0.0001). In contrast, the prevalence of exoU gene was significantly lower in burn exudate (16%) (P=0.023). The least virulence gene detected in this study was pilB (n=7, 8.3%), similar in burn exudates and non-burn samples. The higher frequency of nan1in burn patients may be due to its neuraminidase activity which facilitates bacterial attachment to the epithelial surfaces of burns and airways of cystic fibrosis patients resulting in colonization of P. aeruginosa (38). There are few reports about clonal relationship among hospital isolates of P. aeruginosa in Iran. Our analysis of RAPD data showed four large clusters consisting of 77 isolates out of 84 (91.7%). We also detected the aggregation of isolates related to specific clusters in different hospitals (Figure 3). The high genetic similarity among MDRPA isolates suggests the cross-acquisition of infection. The dendrogram analysis revealed that cluster 3 exhibited the largest fingerprint similarity consisting of 29 isolates. Among the cluster 3 isolates, 76% were from hospital A and 21% from hospital C (Figure 3). Members of this cluster demonstrated close genetic relationships compared to other clusters, suggesting the possible spread of cluster 3 clones in different wards of hospitals A and C in Shiraz. Most members of cluster 4 were from hospitals B and C. As presented in Figure 3, all singletons showed resistance to 11 antibiotics, simultaneously. Taheri et al. studied the genetic similarity among 73 P. aeruginosa isolates from Tehran referral hospitals by RAPD patterns and showed 67 different patterns, each containing 2-3 isolates, mostly from ICU (40). They concluded that most of the isolates were probably originated from the host.

Conclusion

Based on the results, it can be concluded that our P. aeruginosa hospital isolates are highly resistant to different classes of antibiotics and sensitive to colistin and polymyxin B, which could be used as an empirical therapy in critically ill patients, especially in burn patients and those admitted to ICU. High genetic similarity among MDRPA isolates indicates cross-acquisition of infection, suggesting the importance of infection control in decreasing the prevalence of MDRPA in hospitals.
  32 in total

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3.  Detection of metallo-β-lactamase-encoding genes among clinical isolates of Pseudomonas aeruginosa in northwest of Iran.

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4.  Resistance Pattern of Pseudomonas aeruginosa in a Tertiary Care Hospital of Kanchipuram, Tamilnadu, India.

Authors:  Senthamarai S; Suneel Kumar Reddy A; Sivasankari S; Anitha C; Somasunder V; Kumudhavathi Ms; Amshavathani Sk; Venugopal V
Journal:  J Clin Diagn Res       Date:  2014-05-15

5.  Transmission of metallo-β-lactamase-producing Pseudomonas aeruginosa in a nephrology-transplant intensive care unit with potential link to the environment.

Authors:  V Ambrogi; L Cavalié; B Mantion; M-J Ghiglia; O Cointault; D Dubois; M-F Prère; N Levitzki; N Kamar; S Malavaud
Journal:  J Hosp Infect       Date:  2015-10-09       Impact factor: 3.926

6.  Detection of AmpC-β-lactamases producing isolates among carbapenem resistant P. aeruginosa isolated from burn patient.

Authors:  Akbar Mirsalehian; Davood Kalantar-Neyestanaki; Keramat Nourijelyani; Kheirollah Asadollahi; Morovat Taherikalani; Mohammad Emaneini; Fereshteh Jabalameli
Journal:  Iran J Microbiol       Date:  2014-10

7.  Prevalence and Clonal Dissemination of Metallo-Beta-Lactamase-Producing Pseudomonas aeruginosa in Kermanshah.

Authors:  Alisha Akya; Afsaneh Salimi; Bizhan Nomanpour; Kamal Ahmadi
Journal:  Jundishapur J Microbiol       Date:  2015-07-27       Impact factor: 0.747

8.  Prevalence of bla NDM, bla PER, bla VEB, bla IMP, and bla VIM Genes among Acinetobacter baumannii Isolated from Two Hospitals of Tehran, Iran.

Authors:  Fatemeh Fallah; Maryam Noori; Ali Hashemi; Hossein Goudarzi; Abdollah Karimi; Soroor Erfanimanesh; Shadi Alimehr
Journal:  Scientifica (Cairo)       Date:  2014-07-15

9.  The Frequency of Exotoxin A and Exoenzymes S and U Genes Among Clinical Isolates of Pseudomonas aeruginosa in Shiraz, Iran.

Authors:  Arshid Yousefi-Avarvand; Reza Khashei; Hadi Sedigh Ebrahim-Saraie; Amir Emami; Kamiar Zomorodian; Mohammad Motamedifar
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10.  Evaluate the Relationship Between Class 1 Integrons and Drug Resistance Genes in Clinical Isolates of Pseudomonas aeruginosa.

Authors:  Seyed Mohammad Javad Hosseini; Niloofar Shoaee Naeini; Azad Khaledi; Seyede Fatemeh Daymad; Davoud Esmaeili
Journal:  Open Microbiol J       Date:  2016-11-30
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1.  Antimicrobial resistance, virulence factors, and genotypes of Pseudomonas aeruginosa clinical isolates from Gorgan, northern Iran.

Authors:  Fatemeh Nemati Shahri; Ahdieh Izanloo; Mohammad Ali Sheikh Beig Goharrizi; Ailar Jamali; Hanieh Bagheri; Afsaneh Hjimohammadi; Abdollah Ardebili
Journal:  Int Microbiol       Date:  2022-06-14       Impact factor: 3.097

2.  Distribution and Molecular Characterization of Resistance Gene Cassettes Containing Class 1 Integrons in Multi-Drug Resistant (MDR) Clinical Isolates of Pseudomonas aeruginosa.

Authors:  Leila Ahmadian; Mohammad Reza Haghshenas; Bahman Mirzaei; Zahra Norouzi Bazgir; Hamid Reza Goli
Journal:  Infect Drug Resist       Date:  2020-08-11       Impact factor: 4.003

3.  Prevalence of the Genes Associated with Biofilm and Toxins Synthesis amongst the Pseudomonas aeruginosa Clinical Strains.

Authors:  Tomasz Bogiel; Dagmara Depka; Mateusz Rzepka; Joanna Kwiecińska-Piróg; Eugenia Gospodarek-Komkowska
Journal:  Antibiotics (Basel)       Date:  2021-02-28

4.  Identification and detection of pathogenic bacteria from patients with hospital-acquired pneumonia in southwestern Iran; evaluation of biofilm production and molecular typing of bacterial isolates.

Authors:  Farzad Mazloomirad; Sajad Hasanzadeh; Asghar Sharifi; Gordafarin Nikbakht; Narges Roustaei; Seyed Sajjad Khoramrooz
Journal:  BMC Pulm Med       Date:  2021-12-09       Impact factor: 3.317

5.  Decoding Genetic Features and Antimicrobial Susceptibility of Pseudomonas aeruginosa Strains Isolated from Bloodstream Infections.

Authors:  Tomasz Bogiel; Dagmara Depka; Mateusz Rzepka; Agnieszka Mikucka
Journal:  Int J Mol Sci       Date:  2022-08-16       Impact factor: 6.208

  5 in total

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