| Literature DB >> 32373303 |
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.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
Primers used in present study to detect genes and integrolls
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| F: ATC CTC AGG CGT ACA TCC | 328 | ( |
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| F: GAT TCC ATC ACA GGC TCG | 3308 | ( |
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| F: TCG AAC TGA TGA TCG TGG | 408 | ( |
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| F: ACG CTC CGT CCA GCC GGA | 221 | ( |
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| F: GACAACGCCCTCAGCATCACCAGC | 396 | ( |
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| F: CCG ATG GTG TTT GGT CGC AT | 391 | ( |
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| F: CTA CCG CAG CAG AGT CTT TG | 587 | ( |
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| F: GGT TTG GCG ATC TGG TTT TC | 621 | ( |
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| F: GTT CGG TCA AGG TTC TG | 923 | ( |
Antibiotic resistant profile of Pseudomonas aeruginosa collected from hospitalized patients of four hospitals in Iran based on source of isolation
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| 53 | 37(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) |
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| 48 | 12(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) |
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| 29 | 7(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) |
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| 23 | 4(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) |
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| 22 | 3(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) |
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| 14 | 1(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) |
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| 19 | 2(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) |
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| 208 | 66(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)
Prevalence of multi-drug resistance, β-lactamases production and class 1 integron among Pseudomonas aeruginosa from hospitalized patients of four hospitals of Iran
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| 53 | 36(68) | 46(86.8) | 32(89.9) | 18(50) | 64 | 29(80) | 4(11) |
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| 48 | 18(37.5) | 32(66.7) | 9(50) | 5(27.7) | 64 | 14(77) | |
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| 29 | 11(38) | 20(69) | 6(54.5) | 1(9.1) | 128 | 10(90) | - |
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| 23 | 4(17.4) | 12(52) | 1(25) | - | 32 | 4(100) | - |
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| 22 | 6(27.3) | 15(68) | 2(33.3) | 3(50) | 64 | 6(100) | - |
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| 14 | 3(21.5) | 6(42.8) | 3(50) | 1(33.3) | 64 | 3(100) | - |
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| 19 | 6(31.5) | 14(73.7) | 1(16.7) | - | 32 | 5(83) | - |
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| 208 | 84(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
Figure 1Agarose gel electrophoresis of PCR products of virulent genes
Figure 2Distribution 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
Figure 3Clonal 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)