The Centers for Disease Control and Prevention (CDC) defines germicides and microbicides interchangeably as agents to eliminate microorganisms (1). Hospitals employ microbicides extensively to limit nosocomial infections (2). However, their overuse causes selection pressure with the cross-antibiotic resistance, developing multi-drug resistant (MDR) strains (3).
The cationic biguanide disinfectant chlorhexidine (CHX) is available as gluconate, hydrochloride, and acetate products. The CHX kills bacteria by damaging the cell membrane when it reacts with negatively-charged phospholipid molecules on the membrane. This allows the cell contents to leak out, which is the goal of eliminating bacteria (4, 5). In hospitals, CHX is a common topical antiseptic agent with broad-spectrum uses, including surface cleaning, hand sanitization, and skin preparation before invasive operations (6).
The CHX is effective against several microorganisms, including Gram-positive and Gram-negative bacteria, enveloped viruses, and some fungi. It is also useable on some products such as hand rubs, body washes, and antiseptic mouthwashes (7). Therefore, using CHX solutions as topical disinfectant is listed as a part of strategies for MDR bacteria control (8). However, the increasing use of CHX is a severe concern regarding its possible role in developing MDR bacteria through resistance genes acquisition (9).
Pseudomonas aeruginosa (P. aeruginosa) is a prevalent bacteria derived from the environment that is responsible for the various nosocomial infections, including wounds, urinary tract infections, and several others (10). A review investigated by Reynold et al., determined that 7.1% -7.3% of all nosocomial infections were caused by P. aeruginosa (11). Also, an international observational study estimated the prevalence of P. aeruginosa among the intensive care units (ICU)-acquired infections at 26% (12). Pseudomonas aeruginosa may thrive in a wide range of environmental niches because of its large and dynamic genome, which confers interesting metabolic adaptability and genetic plasticity. Therefore, P. aeruginosa strains exhibit notable inherent resistance against antimicrobial agents (13, 14). Bacterial biofilms are responsible for around 80% of the chronic human infections (15). Pseudomonas aeruginosa biofilm formation contributes to the elevated morbidity and mortality rates by protecting the host immune system and limiting the antibiotic treatment effectiveness (16).
As there is scarcity of information regarding the CHX-tolerant P. aeruginosa and possible correlation with itsr antibiotic resistance, the current study investigated the prevalence of phenotypic tolerance to CHX and harboring pslA, pelA, qacE, and qacΔE1 genes, and their correlation with P. aeruginosa isolated from the hospitalized patients in Shiraz, Southwest Iran.
Bacterial isolation
The P. aeruginosa isolates (120 samples) were collected from the hospitalized patients at Nemazee Hospital, a referral hospital in Shiraz, Iran, from October 2020 to July 2021. The laboratory isolates were obtained without limitations from various clinical sources, such as wounds, urine, blood, and sputum. All isolates were primarily identified as P. aeruginosa using the standard biochemical tests comprising Gram staining, colony morphology, catalase/oxidase, triple-sugar iron agar (TSI), and oxidation-fermentation (OF) test (17).
Molecular confirmation of P. aeruginosa isolates
All P. aeruginosa isolates identified through the standard biochemical tests were further confirmed using the 16s rRNA gene amplification by the polymerase chain reaction (PCR). The oligonucleotide sequences of the used primers were as follow: Forward: 5′-GGGGGATCTTCGGACCTCA-3′ and Reverse: 5′-TCCTTAGAGTGCCCACCCG-3′. The PCR condition consisted of initial denaturation at 95°C for 2 min, 25 cycles of denaturation at 95°C for 20 sec, annealing at 58°C for 20 sec, and extension at 72°C for 40 sec; and eventually, a final extension at 72°C for 1 min (17).
Antimicrobial susceptibility testing
The Kirby-Bauer disk diffusion method was used to determine the susceptibility of P. aeruginosa isolates to ten different antibiotic discs (HiMedia, India). They included ceftazidime (30 μg), ceftriaxone (30 μg), cefepime (30 μg), piperacillin-tazobactam (100.10 μg), ciprofloxacin (5 μg), ofloxacin (5 μg), imipenem (10 μg), meropenem (10 μg), and amikacin (30 μg). The test was conducted as recommended by the Clinical Laboratory and Standard Institute (CLSI, 2021); P. aeruginosa ATCC 27853 was tested as quality control (18).
Determination of the minimum inhibitory concentration of CHX
The microbroth dilution method was accomplished to determine the minimum inhibitory concentration (MIC) of CHX for P. aeruginosa isolates. However, in susceptibility tests, the CLSI and related organizations do not have any established procedure for characterizing the bacterial resistance or susceptibility to the non-therapeutic antimicrobials. Therefore, susceptibility to the CHX was determined using the previously described in vitro MIC distributions (19, 20). A stock solution of 1% CHX was made by mixing 1 gr of CHX (Sigma, USA) into 100 mL of Muller Hinton broth (MHB) medium (Merck, Germany) and passed through the sterile syringe filters (0.22 µm). Two-fold serial dilutions were prepared volumetrically in 50 µL MHB to achieve a range of 2500 to 5 µg/mL concentrations. The positive control well was filled with bacteria and MHB, while MHB and CHX composed the negative control well. No bacterial growth was expected to be observed in this well, resulting in a clear appearance. As described previously, P. aeruginosa isolates with MIC>50 µg/mL were interpreted as CHX-tolerant (21, 22).
Amplification of qacE, qacΔE1 and pelA, pslA genes
The presence of biofilm-mediated genes (pelA, pslA) and antiseptic-associated resistance genes (qacE, qacΔE1) was detected using PCR. The genomic DNA of all isolates was extracted using the boiling method, as explained in a prior study (23). The PCR amplifications were accomplished in 25 µL final volume comprising PCR 2X Master Mix (Amplicon, Denmark), 0.4 μM of each primer, 50 ng of template DNA, and nuclease-free water (Table 1).
Statistical analysis
SPSS 22.0 (SPSS Inc., Chicago, Illinois, USA) was used for the statistical analysis. Additionally, the evaluation was done using Chi-square and Fisher’s exact test; the value was considered significant at P<0.05.
Primers’ Name | 5’ – 3’ | Annealing | Amplification size (bp) | References |
16S rRNA | GGGGGATCTTCGGACCTCA TCCTTAGAGTGCCCACCCG |
58 °C | 965 | (17) |
pslA | TCCCTACCTCAGCAGCAAGC TGTTGTAGCCGTAGCGTTTCTG |
55 °C | 656 | (24) |
pelA | CATACCTTCAGCCATCCGTTCTTC CGCATTCGCCGCACTCAG |
55 °C | 786 | |
qacE | CCCGAATTCATGAAAGGCTGGCTT TAAGCTTTCACCATGGCGTCGG |
55 °C | 350 | (20) |
qacΔE1 | TAGCGAGGGCTTTACTAAGC ATTCAGAATGCCGAACACCG |
55 °C | 300 |
Demographic | CZA N=96 (%) |
CRO N=97 (%) | CFM N=78 (%) | IMP N=41 (%) |
MER N=10 (%) | PIP/TZ N=25 (%) | CIP N=30 (%) | OFL N=7 (%) | AMK N=5 (%) |
Gender | |||||||||
Female | 40 (41.7%) | 38 (39.2%) | 33 (42.3%) | 16 (39%) | 5 (50%) | 12 (48%) | 14 (46.7%) | 5 (71.4%) | 3 (60%) |
Male | 56 (58.3%) | 59 (60.8%) | 45 (57.7%) | 25 (61%) | 5 (50%) | 13 (52%) | 16 (53.3%) | 2 (28.6%) | 2 (40%) |
Source | |||||||||
Blood | 26 (27.1%) | 27 (27.8%) | 19 (24.4%) | 14 (34.1%) | 3 (30%) | 7 (28%) | 8 (26.7%) | 3 (42.9%) | 2 (40%) |
Sputum | 17 (17.7%) | 17 (17.5%) | 16 (20.5%) | 6 (14.6%) | 3 (30%) | 3 (12%) | 7 (23.3%) | 2 (28.6%) | 1 (20%) |
Wound | 15 (15.6%) | 16 (16.5%) | 11 (14.1%) | 8 (19.5%) | 0 | 7 (28%) | 6 (20%) | 0 | 2 (40%) |
Urine | 12 (12.5%) | 11 (11.3%) | 11 (14.1%) | 3 (7.3%) | 3 (30%) | 2 (8%) | 4 (13.3%) | 1 (14.3%) | 0 |
ETT | 7 (7.3%) | 7 (7.2%) | 5 (6.4%) | 6 (14.6%) | 1 (10%) | 2 (8%) | 2 (6.7%) | 1 (14.3%) | 0 |
Abscess | 6 (6.3%) | 6 (6.2%) | 5 (6.4%) | 2 (4.9%) | 0 | 2 (8%) | 1 (3.3%) | 0 | 0 |
Nasal | 5 (5.2%) | 5 (5.2%) | 5 (6.4%) | 0 | 0 | 1 (4%) | 0 | 0 | 0 |
Fluid | 4 (4.2%) | 4 (4.1%) | 4 (5.1%) | 1 (2.4%) | 0 | 1 (4%) | 0 | 0 | 0 |
Pleural | 4 (4.2%) | 4 (4.1%) | 2 (2.6%) | 1 (2.4%) | 0 | 0 | 2 (6.7%) | 0 | 0 |
Ward | |||||||||
ICU | 29 (30.2%) | 28 (28.9%) | 19 (24.4%) | 16 (39%) | 2 (20%) | 5 (20%) | 7 (23.3%) | 2 (28.6%) | 2 (40%) |
Internal | 20 (20.8%) | 19 (19.6%) | 20 (25.6%) | 3 (7.3%) | 1 (10%) | 3 (12%) | 7 (23.3%) | 1 (14.3%) | 0 |
Pediatric | 14 (14.6%) | 12 (12.4%) | 11 (14.1%) | 6 (14.6%) | 3 (30%) | 3 (12%) | 3 (10%) | 1 (14.3%) | 0 |
Acute | 13 (13.5%) | 16 (16.5%) | 11 (14.1%) | 4 (9.8%) | 2 (20%) | 6 (24%) | 5 (16.7%) | 2 (28.6%) | 0 |
Emergency | 11 (11.5%) | 11 (11.3%) | 10 (12.8%) | 7 (17.1%) | 2 (20%) | 4 (16%) | 5 (16.7%) | 1 (14.3%) | 2 (40%) |
Surgical | 9 (9.4%) | 11 (11.3%) | 7 (9%) | 5 (12.2%) | 0 | 4 (16%) | 3 (10%) | 0 | 1 (20%) |
Antibiotics name | Tolerant N=33 (%) |
Nontolerant N=87 (%) |
p value | MDR N=22 (%) |
Non-MDR N=98 (%) |
P-value |
CAZ (n=96) | 33 (100%) | 63 (72.4%) | 0.001 | 22 (100%) | 74 (75.5%) | 0.009 |
CRO (n=97) | 32 (97%) | 65 (74.7%) | 0.022 | 21 (95.5%) | 76 (77.6%) | 0.155 |
CFP (n=78) | 27 (81.8%) | 51 (58.6%) | 0.01 | 19 (86.4%) | 59 (60.2%) | 0.066 |
IMP (n=41) | 24 (72.7%) | 17 (19.5%) | 0.001 | 21 (95.5%) | 20 (20.4%) | 0.001 |
MER (n=10) | 8 (24.2%) | 2 (2.3%) | 0.001 | 9 (40.9%) | 1 (1%) | 0.001 |
PAP/TAZ (n=25) | 19 (57.6%) | 6 (6.9%) | 0.001 | 20 (90.9%) | 5 (5.1% | 0.001 |
OFLX (n=7) | 6 (18.2%) | 1 (1.1%) | 0.002 | 7 (31.8%) | 0 | -* |
CIP (n=30) | 13 (39.4%) | 17 (19.5%) | 0.071 | 10 (45.5%) | 20 (20.4%) | 0.047 |
AMK (n=5) | 3 (9.1%) | 2 (2.3%) | 0.289 | 4 (18.2%) | 1 (1%) | 0.008 |
Pseudomonas aeruginosa is regarded as a significant cause of nosocomial infections that are associated with high morbidity and mortality. This is due to the emergence of severe antimicrobial resistance and an increase in MDR and extensively-drug resistant (XDR) strains, which have limited treatment options. This study also revealed alarming resistance to the most commonly used antibiotics in our clinical wards. Among the antibiotics studied, the frequency of resistance rates against the third- and the fourth-generation cephalosporins in our study were as follows: ceftriaxone 80.8%, ceftazidime 80%, and cefepime 60%, respectively. Previous investigations in Iran have revealed lower resistance rates to ceftazidime (46.5%–59.8%) and cefepime (50%–37.9%) (25, 26). However, studies conducted in Qatar (cefepime, 97.5%), Pakistan (ceftazidime, 100%), and Nigeria (ceftazidime, 98%) have reported higher resistance rates against ceftazidime and cefepime (27-29).
On the other hand, our findings determined resistance frequencies against ofloxacin, meropenem, and amikacin with less than 10% rates. Similarly, previous surveys indicated low prevalence of resistance to meropenem in Egypt (5%), China (11.5%), and Spain (9.6%) (30-32). However, an earlier narrative review study by Rafaella Rosito et al., suggested that a new generation of β-lactamase inhibitors (e.g., avibactam, relebactam) in combination with β-lactams are suitable options for the treatment of infections caused by MDR P. aeruginosa (33). Also, piperacillin-tazobactam, a familiar antipseudomonal antibiotic, has demonstrated 93% treatment efficacy among the patients with P. aeruginosa infections (34). Our results revealed a 25% resistance rate against piperacillin-tazobactam among P. aeruginosa isolates.
Compared to the antibiotic resistance, resistance to the antiseptics has been widely neglected in recent scientific literature. However, CHX, one of the most frequently used antiseptic agents in the hospital environments, has become attractive to the researchers because of the recent increase in the CHX-tolerant P. aeruginosa. Remarkably, in this study 27.5% of the investigated P. aeruginosa were CHX-tolerant; this contrasts with previous observations that indicated lower frequencies of CHX-tolerant P. aeruginosa in their experiments (4,7). This discrepancy may be attributed to the various factors, such as the sample size or differences in geography of the studies. However, Buxser et al., found that the numbers of CHX-tolerant P. aeruginosa, Acinetobacter baumannii, and Klebsiella pneumonia strains have risen for 70 years (35).
Significantly, MDR and CHX-tolerance have shown a positive correlation among P. aeruginosa isolates. Therefore, hospitals need to monitor and control the CHX-tolerance among P. aeruginosa isolates. However, the standard guidelines need to be established for the laboratory identification of the tolerant bacteria or the surveillance of their prevalence. Indeed, evaluating the susceptibility of bacteria, including P. aeruginosa, to CHX is commonly performed using the epidemiological cut-off values. These determinations were made following various bacteria investigations, irrespective of the antiseptic treatments outcomes. In addition, lacking the standard CHX susceptibility test creates restrictions in monitoring the frequency of CHX-tolerant P. aeruginosa, deficient of appropriate clinical data, and challenges in comparing data across the studies and drawing meaningful conclusions (7). Several researchers, who repeatedly call for the assessment of the benefits and safety of using CHX-based decolonization, further confirm this urgent need (36, 37).
Producing biofilm and efflux pump systems are two of the most critical antimicrobial resistance mechanisms among P. aeruginosa isolates. Various compounds comprising alginate, Psl, Pel, and lipopolysaccharide (LPS) are involved in the biofilm production (38).
The prevalence of pslA and pelA genes among the tested P. aeruginosa isolates were 76.7% and 65.8%, respectively. Also, harboring the pslA gene was significant among MDR and CHX-tolerant P. aeruginosa isolates (P<0.005). These results were aligned with earlier studies that reported the frequency of pslA and pelA genes in a range of 89%–94% and 69%–87%, respectively (39-41).
Furthermore, cross-resistance to antibiotics and CHX was investigated by harboring the qacE and qacE1 genes. Notably, harboring these genes demonstrated significant differences among the MDR and CHX-tolerant P. aeruginosa isolates compared to not resistant and not CHX-tolerant isolates (P<0.05). Other investigations have also found these correlations (42, 43). Therefore, there is a positive possibility that long-term exposure to the CHX may contribute to developing MDR or cross-resistance among P. aeruginosa isolates. Remarkably, cross resistance happens for the related antibiotics. For instance, colistin and CHX are positive-charge molecules attached to the bacterial cell membrane with a negative charge, which cleared the reason for finding cross-resistance for these antibiotics (44). Colistin is recommended as the last resort treatment of the infections caused by carbapenem-resistant P. aeruginosa, thus, increasing CHX-tolerant P. aeruginosa complicated the treatment of such infections (45).
Of course, the present research has some limitations including inability to determine the biofilm production or assess the expression level of the tested genes. Thus, further investigations are suggested to study the molecular mechanisms affecting different bacteria through the exposure to CHX or other biocides.
In summary, the frequencies of CHX-tolerance and MDR among P. aeruginosa isolates from Nemazee Hospital in Shiraz, Iran were found 27.5% and 18.3%, respectively. A positive correlation was observed between the rates of MDR and CHX-tolerance in P. aeruginosa isolates. Furthermore, the presence of CHX-tolerant isolates was significantly different among the isolates that were resistant to the tested antibiotics, except for amikacin and ciprofloxacin. These findings strengthen the hypothesis that biocide exposure, like CHX, contributes to the cross-resistance development. Thus, monitoring and evaluating the susceptibilities to CHX and such biocides seems essential in the hospital and clinical settings.
The authors would like to thank the staff of Nemazee Hospital for their cooperation.
Ethical Considerations
This study underwent a rigorous ethical approval process by the Ethics Committee of Shiraz University of Medical Sciences, ensuring the highest standards of research ethics (Approval No. IR. SUMS.MED.REC.1399.203). The samples were taken as part of the regular procedure and isolated anonymously.
Authors’ Contributions
Amirhossein F. and Ayda M.: conceptualized and conducted the experiments. Farshad K. and Sita N.: collected, analyzed, and interpreted data. Leila K.: developed the study concept and design, edited, and approved the final manuscript. Abolfazl R.Z.: collaborated in the preparation of the manuscript. Mohammad M.: supervised, edited, and reviewed the manuscript. All authors have read the final manuscript and approved the submission.
As Ayda Moazemi’s and Amirhossein Farshchitabrizi’s MD theses, the work was supported by the Vice-Chancellor for Research of Shiraz University of Medical Sciences (code number: IR.SUMS.REC.98-01-43-20128).
Conflicts of Interest
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