✅ Our results demonstrated that isolates with a higher level of antibiotic resistance tended to form stronger biofilms. Likewise, the results showed that the relationship between biofilm formation and antibiotic resistance might be affected by the type of β-lactamase enzyme in wound infection.
Acinetobacter baumannii is a non-fermenting and gram-negative bacillus which has a central effect in wound infections (1). The mortality rate among the hospitalized patients infected with multidrug-resistant (MDR) A. baumannii is high, especially when they receive improper experimental treatments (1,2). Prolonged hospitalization, along with the use of a catheter and other medical devices, increases the possibility of contamination with A. baumannii (3).
The biofilm, as a virulence factor, protects A. baumannii from the effect of antimicrobial agents and disinfectants. Biofilm-forming A. baumannii can tolerate high concentrations of antibiotics, which eventually results in failing the treatment (2,3). Therefore, this factor can lead to wound and medical device-related infections in the patients who have been hospitalized for a long time (4,5). In addition, the biofilm creates an ideal environment for the horizontal transmission of various genes involved in the pathogenicity and antibiotic resistance of the bacterium (6). Accordingly, A. baumannii can develop some slow-dividing persistent cells in deep layers, which are tolerant of antimicrobials (7,8). However, one of the main reasons why A. baumannii is prevalent in clinical environment can be attributed to its ability to form a biofilm (9).
β-lactamases confer resistance to various β-lactam antibiotics in A. baumannii by inactivating the drug. In the primary sequence of β-lactamases, Ambler proposed a new classification based on homology (10, 11). The Ambler class A, C, and D β-lactamases are termed serine β-lactamases as they possess a serine residue in their active site, which binds to the β-lactam ring. The class B β-lactamases are called zinc metalloenzymes since they possess zinc ions in their active site (12,13). Generally, the majority of class A enzymes are susceptible to the most commercially available β-lactamase inhibitors such as clavulanate. Further, the most frequently encountered class A b-lactamases include TEM, SHV, CTXM, and KPC (12, 13). Another primary source of β-lactam resistance in bacterial pathogens is class C β-lactamases. The clinically significant β-lactamases ADC, AmpC, CMY, and FOX are considered as the members of the class C family (14,15). In addition, β-lactamases of class D, as in classes A and C, are serine enzymes although the catalytic mechanism of these β-lactamases is significantly different (10).
Despite the fact that several studies have reported that there is a relationship between biofilm formation and antibiotic resistance (4), some environmental factors may change the biofilm formation and the activity of β-lactamase enzymes (10,16). In other words, the presence of the ESBLs and AmpC enzymes may result in altering the biological activity of the organism and increasing the pathogenicity and spread of the infection. Therefore, the present study aimed to investigate the relationship between the biofilm formation and the prevalence of different β-lactamase enzymes in A. baumannii strains.
Study Design and Collecting Isolates
Eighty-nine A. baumannii isolates were collected from January 2018 until March 2019 from the patients in pediatric burn centers, burn care, and burn surgery and resuscitation centers at hospitals located in Hamadan, Iran including the Sina Hospital. First, the isolates were phenotypically identified using the standard microbiological techniques and biochemical tests. All the isolates were subcultured on MacConkey agar (Merck, Germany) and incubated overnight at 37°C. Next, a single colony was transferred into the nutrient broth (Merck, Germany) and was incubated overnight at 37°C with agitation. In addition, oxidase test, motility, and biochemical reactions such as indole production, MR/VP test, mannitol fermentation, urea hydrolysis, and aesculin hydrolysis were conducted on the isolates. Then, all the isolates were confirmed using the 16srRNA gene. Finally, 100µL of the overnight culture was mixed with 900µL of 100w/w glycerol and was stored at -80°C.
Determining the Antibiotic Resistance Pattern
The antibiotic resistance patterns in A. baumannii isolates were identified using the disk diffusion method based on the Clinical Laboratory Standards Institute (CLSI 2018) protocol. Different antibacterial disks such as doripenem (10µg), meropenem (10µg), imipenem (10µg), piperacillin (30µg), cefepime (10µg), ceftazidime (30µg), gentamicin (30µg), amikacin (10µg), ciprofloxacin (5µg), and levofloxacin (30µg) were performed (17). All the discs were obtained from MAST UK. In this regard, A. baumannii ATCC19606, Escherichia coli ATCC25922, and Klebsiella pneumoniae ATCC70063 were used as the quality control.
Phenotypic Screening and Confirmation of ESBLs, AmpC, and KPC-producing Strains
ESBL and AmpC-producing strains were identified using the AmpC+ESBL detection set (UK, MAST, code: D68C) based on manufacturer’s instructions. The Hodge test was used for detecting the KPC strains (4).
Screening the Biofilm-producing Strains
The production of biofilm was assessed using a crystal violet microtiter plate assay based on the study conducted by Ghadaksaz et al. (18). To this end, 100 μL of the 24 h grown culture of A. baumannii was added to the wells of 3 quarters of the microtiter plate. Next, fresh uninoculated TSB was added to the remaining 1 quarter. The microtiter plate was incubated for 8 h at 37°C. After 24 h incubation, the supernatant was discarded and 125 μL of 0.1% crystal violet solution was added to each well. The microtiter plate was incubated at room temperature for 15 min. The plate was rinsed 4 times by being submerged in a water tub followed by being shaken out and blotted vigorously on a stack of paper towel in order to remove all the excess cells and dye from the plate. Then, the microtiter plate was turned upside down to dry. The OD of each well was measured at 550 and 595 nm using the microplate reader. In the present study, A. baumannii ATCC 19606 was used as a positive control and the culture medium as a negative control.
DNA and Plasmid Extraction
The genomic and plasmid DNA was isolated, using the gram-negative kit (CinnaGen, Tehran, Iran) according to the manufacturing protocols, for the repetitive PCR analysis of strains.
Detecting AmpC, ESBL, and KPC Genes
The primers in Table 1 were employed to amplify the resistance and virulence genes. All PCRs were performed in a total volume of 25µL. All the reagents were purchased from Promega (Southampton, UK), except for the primers which were supplied by Pishgam Company (Tehran, Iran). Accordingly, the volume of each reagent per reaction included 12µL of MasterMix2.5X (Fermentas, USA), 0.5µL of 10µM forward primer, 0.5µL of 10µM reverser primer, 1µL of DNA template (1000 ng), and 11µL of SDW (Fermentas, USA). The reactions were conducted using an Eppendorf® PCR System 1001C thermal cycler (Eppendorf, Mastercycler® 5332, Germany).
The thermocycler temperature set was performed based on Table 1. Further, the PCR products were analyzed using Mini Gel Electrophoresis Systems (Thermo Fisher Scientific, MA, USA) on 1.5% w/v agarose gel with 1x TAE buffer for 95 min at 85 V. The agarose gel was visualized by GelRed 3X (Biotium, Fremont, CA) stained in the Bio-Rad Gel Documentation System (Bio-Rad Laboratories, CA, USA). Furthermore, E. coli ATCC 25922, K. pneumonia ATCC 70063, and Enterobacter Creole NCBT 13406 were used as positive controls for resistant genes.
Statistical Analysis
SPSS 16 (SPSS Inc., Chicago, IL., USA) was used to analyze data with χ2 statistical test in order to compare the results.
Among 89 isolates of A. baumannii, 21 (13.48%) and 68 (76.40%) isolates were collected from male and female patients, respectively.
Antibiotic Resistance Pattern
Ciprofloxacin (69.66%) and gentamicin (66.29%) were detected with the highest prevalence among A. baumannii isolates. The resistance to doripenem, imipenem, and meropenem was found to be 46.06, 33.07, and 35.95%, respectively. Ceftazidime resistant strains were the least frequent strains. Further, 22 MDR isolates (31.42%) and 11 XDR isolates (15.71%) were reported. Figure 1 illustrates the antibiotic resistance patterns in detail.
Frequency of ESBL, AmpC, and KPC-producing Strains
The isolates of A. baumannii used in the present study included 40 (44.94%) ESBL-producing, 33 (37.07%) AmpC-producing, and 26 (29.21%) KPC-producing isolates. Moreover, the coexistence of ESBL and AmpC β-lactamases was detected in 19 isolates (21.34%), and ESBL and KPC β-lactamases were identified in 14 isolates (13.48%). Further, A. baumannii producing both KPC and AmpC β-lactamases was found in 12 isolates (13.48%). The frequency of the β-lactamase enzymes in different strains is presented in Table 2.
Biofilm Production
Table 2 indicates that 39 isolates (43.82%) are classified as strong biofilms, 27 isolates (30.33%) as moderate biofilms, and 10 isolates (11.23%) as weak biofilm-producing strains.
Distribution and Prevalence of β-lactamase and Carbapenemase-producing Genes
As shown in Table 2 and Figure 3, ESBL genes are detected from 26 isolates (29.21%). In addition, the data in Table 2 and Figure 3 indicated that blaVEB and blaPER genes were identified from 31 (34.83%) and 26 (32.58 %) isolates, respectively. The prevalence of the genes encoding blaFOX and blaADC β-lactamases was observed in 26 (29.21%) and 27(30.33%) isolates, respectively. The blaIMP gene was identified in 25 isolates (28.08%) and the blaKPC gene in 23 isolates (25.84%).
Further, 26 isolates (29.21%) indicated positive PCR product for the AmpC-associated resistance gene blaFOX while 27 isolates (30.33%) were positive for the blaADC gene. Furthermore, 25 isolates (28.08%) showed positive PCR product for the carbapenemase-associated resistance gene blaIMP gene and 23 isolates (25.84%) were positive for the blaKPC gene. All the genes were amplified from 20 isolates (22.47%).
Statistical Analysis
Table 2 indicates that the biofilm production is strongly correlated with the antibiotic resistance pattern. As can be seen, there is a significant correlation between the formation of biofilms and the frequency distribution of blaVEB, blaPER, blaFOX, blaADC, and blaIMP genes (P≤0.05.). Moreover, the correlation between the biofilm formation and MDR/XDR strains was considered as significant (P≤0.05).
Table 1. Oligonucleotide sequences used in this study
Genes | Primer names | Sequence of Primers | Annealing Tm (°C) | Product size (bp) | Ref |
---|---|---|---|---|---|
blaKPC | KPC | F: GATACCACGTTCCGTCTGG R: GCAGGTTCCGGTTTTGTCTC |
94°C: 5 min; 35× (94°C: 30 sec, 58°C: 30 sec, 72°C: 1 min); 72°C: 5 min | 246 | (16) |
blaVEB | VEB | F: CGACTTCCATTTCCCGATGC R: GGACTCTGCAACAAATACGC |
94°C: 5 min; 35× (94°C: 30 sec, 59°C: 30 sec, 72°C: 1 min); 72°C: 5 min | 643 | (2) |
blaPER | PER | F: GCAACTGCTGCAATACTCGG R: ATGTGCGACCACAGTACCAG |
94°C: 5 min; 35× (94°C: 30 sec, 54°C: 30 sec, 72°C: 1 min); 72°C: 5 min | 340 | (2) |
blaFOX |
FOX | F: AACATGGGGTATCAGGGAGATG R: CAAAGCGCGTAACCGGATTGG |
94°C: 5 min; 35× (94°C: 30 sec, 57°C: 30 sec, 72°C: 1 min); 72°C: 5 min | 190 | (10) |
blaADC |
ADC | F: TAAACACCACATATGTTCCG R: ACTTACTTCAACTCGCGACG |
94°C: 5 min; 35× (94°C: 30 sec, 57°C: 30 sec, 72°C: 1 min); 72°C: 5 min | 663 | (1) |
blaIMP |
IMP | F: CTACCGCAGAGTCTTTG R: AACCAGTTTTGCCTTACCAT |
94°C: 5 min; 35× (94°C: 30 sec, 62°C: 30 sec, 72°C: 1 min); 72°C: 5 min | 587 | (3) |
16srRNA | 16srRNA | F: CATTATCACGGTAATTAGTG R: AGAGCACTGTGCACTTAAG |
94°C: 5 min; 35× (94°C: 30 sec, 60°C: 30 sec, 72°C: 1 min); 72°C: 5 min | 288 | (3) |
Figure 1. Antibiotic resistance pattern in wound infection isolates of A. baumannii
Figure 2. AmpC and ESBL-producing strains of wound infection isolates of A. baumannii. For ESBL producer strains: B - A and D-C ≥5mm, D - B, and C-A < 5mm. For AmpC positive: B-A and D-C <5mm, D - B, and C-ZA ≥ 5mm. For AmpC and ESBL-producing strains: D-C ≥ 5mm, ZB - ZA < 5mm. For AmpC and ESBL negative: Difference of the zones ≤ 2mm.
Table 2. Correlation Between Biofilm formation, antibiotic-resistant and β-lactamase enzymes in wound infection isolates of A. baumannii with/without biofilm
Antibiotics |
|||||||||||||||||
None |
Weak |
Moderate |
High |
P-value of none Biofilm |
P-value of Weak Biofilm |
P-value of Moderate Biofilm |
P-value of High Biofilm |
||||||||||
R | I | S | R | I | S | R | I | S | R | I | S | ||||||
PIP | 0 | 0 | 13 | 0 | 0 | 10 | 0 | 0 | 10 | 19 | 15 | 2 | P=0. 9 | P=0.015 | P=0.015 | P=0.015 | |
DOR | 0 | 0 | 13 | 4 | 0 | 4 | 4 | 19 | 4 | 32 | 8 | 0 | P=0. 9 | P=0.009 | P=0.009 | P=0.009 | |
CPE | 0 | 0 | 13 | 2 | 2 | 6 | 0 | 8 | 18 | 14 | 19 | 5 | P=0. 9 | P=0.009 | P=0.009 | P=0.009 | |
CAZ | 0 | 1 | 12 | 0 | 4 | 6 | 4 | 3 | 20 | 3 | 17 | 17 | P=0.1 | P=0.05 | P=0.021 | P=0.01 | |
MER | 0 | 0 | 13 | 0 | 4 | 6 | 4 | 11 | 12 | 29 | 1 | 15 | P=0. 9 | P=0.006 | P=0.006 | P=0.006 | |
IMI | 0 | 0 | 13 | 0 | 0 | 10 | 4 | 2 | 15 | 29 | 9 | 7 | P=0. 9 | P=0.035 | P=0.035 | P=0.035 | |
AMK | 0 | 2 | 11 | 1 | 1 | 11 | 10 | 1 | 8 | 10 | 13 | 0 | P=0.19 | P=0.019 | P=0.019 | P=0.019 | |
GEN | 0 | 2 | 11 | 9 | 1 | 0 | 17 | 5 | 2 | 33 | 7 | 0 | P=0.19 | P=0.003 | P=0.015 | P=0.002 | |
LVX | 0 | 0 | 13 | 0 | 10 | 0 | 4 | 10 | 10 | 20 | 16 | 8 | P=0.9 | P=0.045 | P=0.045 | P=0.045 | |
CIP | 0 | 7 | 10 | 0 | 17 | 1 | 35 | 0 | P=0. 25 | P=0.004 | P=0.004 | P=0.004 | |||||
MDR | 0 | 4 | 7 | 11 | P=0.01 | P=0.007 | P=0.04 | P=0.003 | |||||||||
XDR | 1 | 0 | 4 | 6 | P=0.15 | P=0.00 | P=0.015 | P=0.001 | |||||||||
β-lactamase enzymes |
|||||||||||||||||
AmpC | 0 | 5 | 11 | 24 | P=0.09 | P=0.012 | P=0.081 | P=0.004 | |||||||||
ESBL | 2 | 1 | 19 | 13 | P=0.075 | P=0.033 | P=0.019 | P=0.009 | |||||||||
KPC | 0 | 9 | 1 | 16 | P=0.95 | P=0.048 | P=0.028 | P=0.001 | |||||||||
ESBL+AmpC | 0 | 2 | 5 | 12 | P=0.97 | P=0.003 | P=0.041 | P=0.004 | |||||||||
KPC+AmpC | 0 | 0 | 3 | 9 | P=0.066 | P=0.043 | P=0.051 | P=0.004 | |||||||||
ESBL+KPC | 0 | 3 | 5 | 6 | P=0.13 | P=0.013 | P=0.011 | P=0.009 | |||||||||
ESBL+AmpC+KPC | 0 | 0 | 2 | 9 | |||||||||||||
Sensitive to all antibiotics | 10 | 24 | 0 | 1 | P=0.04 | P=0.090 | P=0.17 | P=0.25 | |||||||||
β-lactamase genes | |||||||||||||||||
blaFOX | 0 | 6 | 2 | 18 | P=0.95 | P=0.09 | P=0.007 | P=0.005 | |||||||||
blaADC | 1 | 0 | 5 | 21 | P=0.25 | P=0.015 | P=0.84 | P=0.001 | |||||||||
blaVEB | 2 | 0 | 19 | 10 | P=0.76 | P=0.070 | P=0.024 | P=0.064 | |||||||||
blaPER | 0 | 0 | 18 | 11 | P=0.09 | P=0.045 | P=0.017 | P=0.002 | |||||||||
blaIMP | 0 | 0 | 6 | 19 | P=0.085 | P=0.020 | P=0.009 | P=0.005 | |||||||||
blaKPC | 5 | 0 | 1 | 17 | P=0.012 | P=0.015 | P=0.024 | P=0.001 |
Figure 3. The amplification and gel electrophoresis agarose 2% of β-lactamase genes. A: blaFOX with 190bp, blaADC with 663bp. B: blaIMP with 587bp, blaKPC with 823bp. C: blaPER with 340bp and blaVEB with 643bp. M: Ladder 100bp.
Discussion
A. baumannii is the main cause of nosocomial infection and is often responsible for the high frequency of wound infections among hospitalized patients. However, some virulence factors such as biofilms play a key role in the emergence of MDR strains (6).
The present study indicated a high rate of carbapenems (29.21%), gentamycin (69.66%), and ciprofloxacin (66.29%) among the A. baumannii isolates (Table 2). The results are consistent with those of Uwingabiye et al. in 2016 (6) and Chen et al. in 2017 (19). Further, the present study confirmed a low rate of ceftazidime (7.86%) and amikacin (14.77%) resistant strains, which contradicts the results of Almaghrabi et al. in 2018 (20) and Simo Tchuinte et al. in 2019 (21) indicating a high rate of amikacin-resistant strains. In addition, several studies reported that the prevalence of A. baumannii resistant to amikacin, ceftazidime, and cefepime was higher than that to ticarcillin, piperacillin, and ciprofloxacin-resistant strains (1,6,22).
Moreover, MDR strains were reported in 31.42% of the isolates used in the present study, which is consistent with the results of Kuti et al. (23). However, a possible reason for the bacterial co-resistance is plasmids, carrying antimicrobial resistance genes and even virulence gene many of which easily transfer between the bacteria from different sources and geographical origins.
As presented in Table 2, the frequency of AmpC, ESBL, and KPC-producing A. baumannii is 34.83, 44.94, and 24.71%, respectively. However, some studies in China (1), India (5), and Egypt (24) reported over 70% of AmpC, ESBL, and KPC-producing A. baumannii. Further, the co-existence of AmpC and ESBL, AmpC and KPC, and ESBL and KPC enzymes was detected in 21.34, 13.48, and 15.73% of the isolates, respectively, which is in line with the results of Kumar et al. (25), Begum et al. (26), and Khajuria et al. (27). Other studies indicated that AmpC enzyme could increase the frequency of ESBL and KPC-producing A. baumannii and have an effect on carbapenem and β-lactam antibiotics with the help of some amino acids (5, 28).
The present study demonstrated that blaVEB, blaPER, blaFOX, and the blaADC genes were found in 29.21, 34.83, 29.21, and 30.33% of the isolates, respectively. This finding is very similar to those reported by Fallah et al. (2), Al-Agamy et al. (11), and Shacheraghi et al. (29). The low frequency of blaIMP and blaKPC genes in A. baumannii isolates was reported by Chang et al. (3) and Alkasaby et al. (30). On the contrary, the high frequency of AmpC and ESBL genes was observed in some studies in India (5), Iran (2), Egypt (11,30), and Brazil (31). This difference and the high resistance may be due to the ability of the organism to produce more than one hydrolyzing enzyme, show modifications in more than one outer membrane porin channel, or select the pressure. Accordingly, the large diversity found in the data of the present study could be the result of evolution of the ancestral gene, rather than the foreign carriage of the clones into the country.
Table 2 indicates that 22.47% of the isolates are classified as strong biofilms and 21.34% as moderate biofilms. As can be seen, the frequency of β-lactamase genes in biofilm-forming strains is higher than the non-biofilm-forming A. baumannii. Thus, in line with the results of Yang et al. (32), biofilm formation in A. baumannii isolated from the wound can affect the frequency of β-lactamase genes. The results of the study conducted by Rahimi et al. (7) support those of the present study indicating that biofilm-forming A. baumanii had relatively higher resistance to amikacin compared to non-biofilm-forming strains. In addition, a strong relationship was observed between biofilm formation and β-lactamase enzymes in MDR-XDR strains. Lee et al. (33) and Rao et al. (8) demonstrated that blaPER gene was strongly correlated with biofilm formation in A. baumannii and was the most abundant gene in biofilm-forming strains.
Furthermore, non-biofilm-forming strains are more sensitive to fluoroquinolone and carbapenem compared to the biofilm-forming strains, as shown in Table 2. This result is inconsistent with those of Avila-Novoa et al. (34), who found that high concentrations of imipenem and ciprofloxacin led to the death of biofilm-producing bacteria. In another study, Qi et al. (35) stated that low fluoroquinolone concentrations had a signifanct effect on eliminating biofilm.
In the present study, a significant correlation between β-lactamase enzymes and biofilm formation in A. baumannii was observed. Similarly, Hatami Moghadam et al. (9) found that the biofilm formation and antibiotic resistance in A. baumannii isolated from the wound were significanlty correlated. However, these results are inconsistent with those of Wang et al. (36), who indicated that there was no significant correlation between β-lactamase enzymes and the biofilm formation in A. baumannii bacteremic pneumonia. It should be noted that this correlation depends on several factors, among which the clinical sample type is considered very critical. Therefore, the variety of clinical samples plays an important role in this regard. However, the results of the present study confirmed that physical, chemical, and biological processes could regulate the formation of biofilms. Various environmental conditions influence the creation, composition, and preservation of a biofilm. These factors have a direct effect on the resistance to antibiotics. Accordingly, antibiotics may lose their effectiveness if an organism stops growing due to lack of nutrients or substrates since certain antibiotics, such as penicillin, only target growing organisms (37,38). Thus, the pressure of stressors can permanently alter the antimicrobial resistance in bacteria and these factors can influence the biofilm formation in wound infection.
Conclusion
The results obtained in the present study revealed that the A. baumannii biofilm producer was more resistant to different antibiotics. In addition, a significant correlation was found between β-lactamase enzymes and biofilm formation in A. baumannii isolates. Further, antibiotic resistance profile had a significant correlation with biofilm formation. The results suggested that the biofilm-forming strains were more potent against antimicrobial drugs.
Therefore, A. baumannii isolated from the wounds is more prone to biofilm formation, and therefore antibiotic resistance can be more prevalent in wound infections. The biofilms in the wound infections of A. baumannii are considered as an essential factor in spreading the MDR strains and pose a serious risk to patients. It is crucial to evaluate the prevalence of MDR strains in wound infections since this probably indicates the emergence of adaptative resistance during the wound infection and possible problems in the treatment.
Acknowledgements
The authors gratefully thank Islamic Azad University, Hamadan, Iran, for providing facilities to conduct the research. This study was funded by the Research Deputy of Islamic Azad University, Hamadan, Iran (Grant No. 17130507962001)
Conflicts of Interest
Authors declared no conflict of interest.
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