Gram-negative bacteria are potential causes of both nosocomial and community-acquired infections. Multiple antibiotic resistance to broad-spectrum β-lactams are considered one of the most important traits. Antibiotic resistance of Enterobacteriaceae is mainly accompanied by the production of extended spectrum β-lactamases (ESBLs) that hydrolyze third-generation cephalosporins and aztreonam, but can be inhibited by clavulanic acid [1-3].
ESBLs are primarily produced by gram-negative organisms of the Enterobacteriaceae family, especially
ESBL-producing bacteria are among the common microorganisms that produce severe diarrhoea, postoperative abdominal wound sepsis, urinary tract infections, and respiratory tract infections [2]. Cephalosporins commonly used in patients with septic infections are ineffective in the case of ESBL-producing bacteria. ESBL-producing bacteria can acquire resistance to antimicrobials such as the aminoglycosides, cotrimoxazole, tetracyclines, trimethoprim, and quinolones with the potential of the development of multidrug resistant microbes [9-12].
There is a shortage of the new antibiotics especially for gram-negative bacteria that produce ESBLs [13]. Delays in laboratory diagnosis and the use of inappropriate antibiotic therapy are among factors that increase the severity of the disease with a subsequent increase in mortality [14, 15]. Accordingly, rapid detection of ESBL-producing bacteria may aid in selecting the appropriate antibiotic with a subsequent improvement in the antibacterial outcomes [16]. Rapid detection is also necessary to screen patients and subsequently improve hospital infection control policies, avoid misuse of antibiotics, thus prolonging the efficacy of the currently available antibiotic armamentarium [17, 18].
Current techniques for detecting ESBL producers are based on the determination of susceptibility to expanded-spectrum cephalosporins followed by the inhibition of the ESBL activity, mostly by the use of clavulanic acid or tazobactam [19]. The double-disk synergy test and the ESBL “E-test” were proposed for that purpose. Sensitivities and specificities of the double-disk test and of the E-test are good, ranging from 80% to 95% [20]. Automated bacterial identification and antibiotic susceptibility testing are also used in the detection of ESBL-producing organisms. The performances of those systems differ depending on the species investigated, with much higher sensitivity (80%-99%) than specificity (50%-80%) [19, 20].
Those tests require overnight growth, meaning that up to 24 to 48 h can elapse, before ESBL production is detected once the isolate has grown [19, 20]. This may result in a delay in the initiation of appropriate antibiotic therapy [17]. Molecular detection of ESBL genes by PCR is an attractive alternative [19-21]. In the current study, we intended to conduct antibiotic susceptibility screening of
Our study protocol was approved by Taif University Medical Ethics Review Board (project No. 3364-435-1) in accordance with the guidelines for the protection of human subjects. Samples were collected for clinical purposes from inpatients from the local area of Al-Taif and nearby cities at King Abdul-Aziz Hospital, Al-Taif, Saudi Arabia between February 1st and August 30th 2015 after patient consent documented on standard hospital forms. The clinical samples were from various origins: 38 were from urinary tract infections, and 5 were from suppurative wounds in the perineum, sepsis of various postoperative wounds, and the liver. We received 43 bacterial isolates anonymized by coding linked to patient identities from the clinical laboratory, which were derived from the samples originally collected for clinical purposes. The isolates were subcultured on selective media including blood agar and MacConkey agar [22] and gram-negative rods were selected for further identification [23].
Cultured bacteria were resuspended in 0.45% saline and matched to the required McFarland units. Two milliliters of bacterial suspension were automatically loaded into a VITEK 2 microbial identification system (bioMérieux, Durham, NC, USA) for identification with gram-negative bacilli and antimicrobial susceptibility testing-GN04 cards. Reference strains including
DNA was extracted from ESBL-positive isolates using a DNA extraction kit (Koma Biotech, Seoul, Korea). Briefly, 1 mL of bacterial suspension was centrifuged for 5 min at 3000 rpm. The supernatant was discarded and the pellet was resuspended in 200 μL lysing solution and 20 μL proteinase K at 60°C for 30 min and then further incubated at 95°C for 15 min. Then, 200 μL of ethanol was added to each sample, which was vortexed and loaded onto an XPTG mini column. After centrifugation at 13,000 rpm for 1 min, the bound DNA was washed twice then the excess ethanol was discarded by centrifugation for 3 min at 13,000 rpm. Elution of the DNA was
completed by adding 100 μL of sterile double-distilled water onto the membrane bound DNA, and centrifuged at 13,000 rpm for 2 min.
PCR was conducted for individual TEM, CTX-M group 1, group 2 and group 9 DNA was using 0.4 pmol/μL of each primer (
Oligonucleotide sequences used to identify genes encoding important β-lactamase (
Primer name | Primer Sequence 5′–3′ | Position | Amplicon size |
---|---|---|---|
MultiTSO-T_forward | CATTTCCGTGTCGCCCTTATTC | 13–34 | 800 |
MultiTSO-T_reverse | CGTTCATCCATAGTTGCCTGAC | 812–791 | |
MultiCTXMGp1forward | TTAGGAARTGTGCCGCTGYA | 61–80 | 688 |
MultiCTXMGp1-2_reverse | CGATATCGTTGGTGGTRCCAT | 748–728 | |
MultiCTXMGp2_forward | CGTTAACGGCACGATGAC | 345–362 | 404 |
MultiCTXMGp1-2_reverse | CGATATCGTTGGTGGTRCCAT | 748–728 | |
MultiCTXMGp9_forward | TCAAGCCTGCCGATCTGGT | 299–317 | 561 |
CTXMGp9_reverse | TGATTCTCGCCGCTGAAG | 859–842 | |
OP-A1 | CAGGCCCTTC | ||
OP-A3 | AGTCAGCCAC | ||
OP-A4 | AATCGGGCTG | ||
OP-A5 | AGGGGTCTTG | ||
OP-A6 | GGTCCCTGAC | ||
OP-A7 | GAAACGGGTG | ||
OP-A8 | GTGACGTAGG | ||
OP-A9 | GGGTAACGCC | ||
OP-A10 | GTGATCGCAG | ||
OP-B7 | GGTGACGCAG | ||
OP-D5 | TGAGCGGACA |
For RAPD analysis, 11 different 10-mer random primers, which were preselected for their performance with DNA from isolates of Enterobacteriaceae (
The amplification products of RAPD-PCR were scored for the presence “1” or absence “0” and
missing data as “9”. The genetic associations between isolates were evaluated by calculating the Jaccard similarity coefficient for pairwise comparisons based on the proportion of shared bands produced by the primers. The similarity matrix was subjected to cluster analysis by an unweighted pair group method for arithmetic mean and a dendrogram was generated. The computations were performed using the program NTSYS-PC version 2.01 [28]. Jaccard’s similarity matrix was subjected to principal component analysis.
There is a current increase in ESBL-producing bacteria worldwide mainly
Antibiotic sensitivity of the examined samples (
Antimicrobial | Resistant strains | Nonresistant strains | ||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
R | S | I | R | S | I | R | S | I | R | S | I | |
Ampicillin | 14 | 0 | 0 | 3 | 0 | 0 | 12 | 1 | 0 | 10 | 3 | 0 |
Amoxicillin/clavulanic acid | 2 | 8 | 4 | 1 | 1 | 1 | 1 | 8 | 4 | 7 | 6 | 0 |
Piperacillin/tazobactam | 5 | 8 | 1 | 2 | 0 | 1 | 2 | 11 | 0 | 7 | 6 | 0 |
Cefoxitin | 2 | 9 | 3 | 1 | 1 | 1 | 0 | 11 | 2 | 7 | 6 | 0 |
Ceftazidime | 14 | 0 | 0 | 3 | 0 | 0 | 0 | 13 | 0 | 7 | 6 | 0 |
Cefepime | 14 | 0 | 0 | 3 | 0 | 0 | 0 | 13 | 0 | 7 | 6 | 0 |
Imipenem | 0 | 13 | 1 | 0 | 3 | 0 | 0 | 13 | 0 | 7 | 6 | 0 |
Meropenem | 0 | 13 | 0 | 0 | 3 | 0 | 0 | 13 | 0 | 7 | 6 | 0 |
Amikacin | 0 | 14 | 0 | 1 | 2 | 0 | 0 | 13 | 0 | 7 | 6 | 0 |
Gentamicin | 4 | 10 | 0 | 1 | 2 | 0 | 2 | 11 | 0 | 8 | 5 | 0 |
Ciprofloxacin | 10 | 4 | 0 | 3 | 0 | 0 | 2 | 11 | 0 | 8 | 5 | 0 |
Tigecycline | 0 | 14 | 0 | 0 | 2 | 1 | 0 | 13 | 0 | 7 | 5 | 1 |
Nitrofurantoin | 2 | 11 | 1 | 2 | 0 | 1 | 0 | 13 | 0 | 10 | 0 | 3 |
Trimethoprim/Sulfamethoxazole | 9 | 5 | 0 | 3 | 0 | 0 | 7 | 6 | 0 | 8 | 5 | 0 |
Two of 14,
Results of polymerase chain reaction of genes encoding important ß-lactamases
Sample Number | Isolated bacteria | TEM variants including TEM-1 and TEM-2. | CTX-M group | R (resistant), S (sensitive), I (intermediate) | |||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
CTX-1 | CTX-2 | CTX-9 | Amp (ampicillin), Am/Cla (amoxicillin/clavulanic acid), Pip/Taz (piperacillin/tazobactam), Cefo (cefoxitin), Cefta (ceftazidime), Cefe (cefepime), Imi (imipenem), Mer (meropenem), Amk (amikacin), Gen(gentamicin), Cip (ciprofloxacin), Tig (tigecycline), Nit (nitrofurantoin), Tri/Sul (trimethoprim/sulfamethoxazole), | Am/Cla | Pip/Taz | Cefo | Cefta | Cefe | Imi | Mer | Amk | Gen | Cip | Tig | Nit | Tri/Suif | |||
1 | + | - | - | - | R | R | I | R | R | R | S | S | S | S | R | S | S | R | |
2 | + | + | - | - | R | R | I | R | R | R | S | S | S | S | R | S | I | R | |
3 | + | - | - | - | R | S | R | S | R | R | S | S | S | S | R | S | S | R | |
4 | + | - | - | - | R | I | R | S | R | R | S | S | S | S | R | S | S | S | |
5 | + | - | - | R | I | R | I | R | R | S | S | R | R | R | I | R | R | ||
6 | + | - | - | - | R | S | S | S | R | R | S | S | S | S | R | S | S | R | |
7 | + | - | - | - | R | I | S | I | R | R | S | S | S | R | R | S | I | R | |
8 | + | - | + | - | R | S | R | S | R | R | I | S | S | R | R | S | S | S | |
9 | + | + | - | - | R | S | S | S | R | R | S | S | S | S | S | S | S | S | |
10 | + | - | - | - | R | I | S | S | R | R | S | S | S | S | R | S | R | R | |
11 | + | - | - | - | R | R | R | S | R | R | S | S | S | S | R | S | S | R | |
12 | + | - | - | - | R | S | S | S | R | R | S | S | S | S | S | S | S | R | |
13 | + | - | - | - | R | S | S | I | R | R | S | S | S | R | S | S | S | R | |
14 | + | + | — | — | R | S | S | R | R | R | S | S | S | S | R | S | S | S | |
15 | + | - | - | - | R | S | S | I | R | R | S | S | S | R | S | S | S | R | |
16 | + | + | - | - | R | S | R | S | R | R | S | S | S | S | R | S | R | R | |
17 | + | - | - | - | R | I | R | S | R | R | S | S | S | S | R | S | R | S |
In the present study, the majority of the
Molecular markers are efficient tools for molecular identification and estimation of relatedness through DNA fingerprinting. RAPD markers were developed by Williams et al. [26]. RAPD technique using single-arbitrary-10-mer oligonucleotides was used to amplify discrete fragments of DNA using PCR. This technique has been used extensively in many different applications and in different bacterial species because of its simplicity [27]. Genomic diversity of
Polymorphic bands of each genetic primers and percentage of polymorphism in the extended spectrum β-lactamase-producing bacterial isolates
Primers | Total Bands | No. of Monomorphic Bands | No. Polymorphic Bands | % Monomorphic bands | % Polymorphic bands |
---|---|---|---|---|---|
OPA-01 | 19 | 4 | 15 | 26.3 | 73.7 |
OPA-03 | 20 | 6 | 14 | 30.0 | 70.0 |
OPA-04 | 20 | 5 | 15 | 25.0 | 75.0 |
OPA-05 | 21 | 5 | 16 | 23.8 | 76.2 |
OPA-06 | 16 | 0 | 16 | 0.00 | 100 |
OPA-07 | 18 | 10 | 8 | 55.5 | 44.5 |
OPA-08 | 19 | 6 | 13 | 31.5 | 68.5 |
OPA-09 | 15 | 1 | 14 | 6.67 | 93.3 |
OPA-10 | 22 | 4 | 18 | 18.2 | 81.8 |
OPB-07 | 17 | 9 | 12 | 52.9 | 47.1 |
OPD- 05 | 20 | 15 | 5 | 75.0 | 25.0 |
Total | 207 | 65 | 142 |
The random primers yielded 207 distinct bands, 142 (68.6%) were considered as polymorphic and 65 (31.4%) were considered as monomorphic (
A phylogenetic tree was constructed for the 14 different
The molecular size of the amplicon products ranged from 75 bp to 1450 bp. These findings denote that RAPD markers are effective in detecting similarity between
According to genetic similarity and intraspecies differentiation, the 14
RAPDs proved to be useful as genetic markers in bacteria fingerprinting as previously described [33]. Although major bands from RAPD reactions are highly reproducible, minor bands can be difficult to reproduce because of the random priming nature of this PCR reaction and potential confounding effects associated with comigration with other markers. The use of multiple primers sets in RAPD analysis can be used as a rapid method for preliminary biotyping of the
Pairwise genetic distance and homogeneity tests were performed to determine the relatedness between the different bacterial strains. Smaller genetic distance between
ESBL-producing bacteria were detected in 17/ 43 isolates (39.5%): 14 strains were
Only 2/14