
Antibiotic-resistant strains of Pseudomonas aeruginosa (P. aeruginosa) pose a major threat for healthcare-associated and community-acquired infections. P. aeruginosa is recognized as an opportunistic pathogen using quorum sensing (QS) system to regulate the expression of virulence factors and biofilm development. Thus, meddling with the QS system would give alternate methods of controlling the pathogenicity. This study aimed to assess the inhibitory impact of chitosan nanoparticles (CS-NPs) on P. aeruginosa virulence factors regulated by QS (e.g., motility and biofilm formation) and LasI and RhlI gene expression. Minimum inhibitory concentration (MIC) of CS-NPs against 30 isolates of P. aeruginosa was determined. The CS-NPs at sub-MIC were utilized to assess their inhibitory effect on motility, biofilm formation, and the expression levels of LasI and RhlI genes. CS-NPs remarkably inhibited the tested virulence factors as compared to the controls grown without the nanoparticles. The mean (±SD) diameter of swimming motility was decreased from 3.93 (±1.5) to 1.63 (±1.02) cm, and the mean of the swarming motility was reduced from 3.5 (±1.6) to 1.9 (±1.07) cm. All isolates became non-biofilm producers, and the mean percentage rate of biofilm inhibition was 84.95% (±6.18). Quantitative real-time PCR affirmed the opposition of QS activity by lowering the expression levels of LasI and RhlI genes; the expression level was decreased by 90- and 100-folds, respectively. In conclusion, the application of CS-NPs reduces the virulence factors significantly at both genotypic and phenotypic levels. These promising results can breathe hope in the fight against resistant P. aeruginosa by repressing its QS-regulated virulence factors.
Citation: Rana Abdel Fattah Abdel Fattah, Fatma El zaharaa Youssef Fathy, Tahany Abdel Hamed Mohamed, Marwa Shabban Elsayed. Effect of chitosan nanoparticles on quorum sensing-controlled virulence factors and expression of LasI and RhlI genes among Pseudomonas aeruginosa clinical isolates[J]. AIMS Microbiology, 2021, 7(4): 415-430. doi: 10.3934/microbiol.2021025
[1] | Mohammad Abu-Sini, Mohammad A. Al-Kafaween, Rania M. Al-Groom, Abu Bakar Mohd Hilmi . Comparative in vitro activity of various antibiotic against planktonic and biofilm and the gene expression profile in Pseudomonas aeruginosa. AIMS Microbiology, 2023, 9(2): 313-331. doi: 10.3934/microbiol.2023017 |
[2] | Jorge Barriuso . Quorum sensing mechanisms in fungi. AIMS Microbiology, 2015, 1(1): 37-47. doi: 10.3934/microbiol.2015.1.37 |
[3] | Ogueri Nwaiwu, Chiugo Claret Aduba . An in silico analysis of acquired antimicrobial resistance genes in Aeromonas plasmids. AIMS Microbiology, 2020, 6(1): 75-91. doi: 10.3934/microbiol.2020005 |
[4] | Bahram Nikmanesh, Kazem Ahmadikia, Muhammad Ibrahim Getso, Sanaz Aghaei Gharehbolagh, Shima Aboutalebian, Hossein Mirhendi, Shahram Mahmoudi . Candida africana and Candida dubliniensis as causes of pediatric candiduria: A study using HWP1 gene size polymorphism. AIMS Microbiology, 2020, 6(3): 272-279. doi: 10.3934/microbiol.2020017 |
[5] | Saboura Haghighi, Hamid Reza Goli . High prevalence of blaVEB, blaGES and blaPER genes in beta-lactam resistant clinical isolates of Pseudomonas aeruginosa. AIMS Microbiology, 2022, 8(2): 153-166. doi: 10.3934/microbiol.2022013 |
[6] | Kholoud Baraka, Rania Abozahra, Eman Khalaf, Mahmoud Elsayed Bennaya, Sarah M. Abdelhamid . Repurposing of paroxetine and fluoxetine for their antibacterial effects against clinical Pseudomonas aeruginosa isolates in Egypt. AIMS Microbiology, 2025, 11(1): 126-149. doi: 10.3934/microbiol.2025007 |
[7] | Babak Elyasi Far, Mehran Ragheb, Reza Rahbar, Ladan Mafakher, Neda Yousefi Nojookambari, Spyridon Achinas, Sajjad Yazdansetad . Cloning and expression of Staphylococcus simulans lysostaphin enzyme gene in Bacillus subtilis WB600. AIMS Microbiology, 2021, 7(3): 271-283. doi: 10.3934/microbiol.2021017 |
[8] | Amira ElBaradei, Dalia Ali Maharem, Ola Kader, Mustafa Kareem Ghareeb, Iman S. Naga . Fecal carriage of ESBL-producing Escherichia coli in Egyptian patients admitted to the Medical Research Institute hospital, Alexandria University. AIMS Microbiology, 2020, 6(4): 422-433. doi: 10.3934/microbiol.2020025 |
[9] | Alaa Fathalla, Amal Abd el-mageed . Salt tolerance enhancement Of wheat (Triticum Asativium L) genotypes by selected plant growth promoting bacteria. AIMS Microbiology, 2020, 6(3): 250-271. doi: 10.3934/microbiol.2020016 |
[10] | Ashrafus Safa, Jinath Sultana Jime, Farishta Shahel . Cholera toxin phage: structural and functional diversity between Vibrio cholerae biotypes. AIMS Microbiology, 2020, 6(2): 144-151. doi: 10.3934/microbiol.2020009 |
Antibiotic-resistant strains of Pseudomonas aeruginosa (P. aeruginosa) pose a major threat for healthcare-associated and community-acquired infections. P. aeruginosa is recognized as an opportunistic pathogen using quorum sensing (QS) system to regulate the expression of virulence factors and biofilm development. Thus, meddling with the QS system would give alternate methods of controlling the pathogenicity. This study aimed to assess the inhibitory impact of chitosan nanoparticles (CS-NPs) on P. aeruginosa virulence factors regulated by QS (e.g., motility and biofilm formation) and LasI and RhlI gene expression. Minimum inhibitory concentration (MIC) of CS-NPs against 30 isolates of P. aeruginosa was determined. The CS-NPs at sub-MIC were utilized to assess their inhibitory effect on motility, biofilm formation, and the expression levels of LasI and RhlI genes. CS-NPs remarkably inhibited the tested virulence factors as compared to the controls grown without the nanoparticles. The mean (±SD) diameter of swimming motility was decreased from 3.93 (±1.5) to 1.63 (±1.02) cm, and the mean of the swarming motility was reduced from 3.5 (±1.6) to 1.9 (±1.07) cm. All isolates became non-biofilm producers, and the mean percentage rate of biofilm inhibition was 84.95% (±6.18). Quantitative real-time PCR affirmed the opposition of QS activity by lowering the expression levels of LasI and RhlI genes; the expression level was decreased by 90- and 100-folds, respectively. In conclusion, the application of CS-NPs reduces the virulence factors significantly at both genotypic and phenotypic levels. These promising results can breathe hope in the fight against resistant P. aeruginosa by repressing its QS-regulated virulence factors.
Pseudomonas aeruginosa (P. aeruginosa) is an opportunistic Gram-negative bacterium that contributes significantly to healthcare-associated infections. The CDC has reported it as a major lead causative agent of pneumonia, the third cause of urinary tract infection, eighth commonly isolated microbe from bloodstream infections. Additionally, it is responsible for fatal infections in cystic fibrosis and immunocompromised patients [1].
The success of P. aeruginosa, as an opportunistic pathogen, is partially attributed to the ability of whole bacterial populations of this bacterium to coordinate their activity using cell-to-cell communication, mediated by quorum sensing (QS) signal molecules [2]. QS regulates over 10% of the P. aeruginosa genome, including swarming motility, biofilm formation, and antimicrobial resistance, as well as the production of virulence determinants such as elastases, pyocyanin, cyanide, and exotoxins [3].
P.aeruginosa employs two dominating QS systems; las (LasR-LasI) and rhl (RhlR-RhlI). The synthase of LasI catalyzes the synthesis of N-(3-oxododecanoyl) homoserine lactone, RhlI catalyzes the synthesis of N-butyryl-homoserine lactone, which induces their respective cognate transcriptional regulators. LasR and RhlR are responsible for activating numerous QS-controlled genes [4].
The rise of drug-resistant P. aeruginosa and the delay in introducing newer drugs threaten human well-being. As a better drug strategy, it has been suggested to focus on QS-regulated virulence factors instead of growth-related features [5]. Among the most accepted materials is chitosan, a polysaccharide polymer composed of N-acetyl-D-glucosamine and D-glucosamine units connected by β-1,4-glycosidic linkages. It is derived from partial or total deacetylation of chitin [6]. It possesses a unique combination of properties, mainly excellent biocompatibility, enzymatic biodegradability, metal complexation, and nontoxicity [7]. It has a good antimicrobial action against a wide scope of microorganisms such as Staphylococcus aureus and Escherichia coli; also, it has an antifungal effect [8],[9].
Advances in nanotechnology have enabled the formulation of chitosan polymers as nanoparticles, which are more effective antimicrobial agents than chitosan itself, in addition to other benefits, such as better penetration of biofilm and higher solubility [10]. This study aimed to assess the inhibitory impact of chitosan nanoparticles (CS-NPs) on virulence characters of P. aeruginosa regulated by QS as motility and biofilm formation and the expression of LasI and RhlI genes to find new alternatives to the existing antibiotic therapy for treating resistant infections.
The present study was conducted from October 2020 till February 2021 on 30 P. aeruginosa isolates obtained from inpatient and outpatient clinical samples submitted to the central microbiology laboratory at Ain Shams University Hospital. The Research Ethics Committee approved the study of Faculty of Medicine Ain Shams University (No. FMASU M D 94/2020).
The isolates included sputum, blood, urine, and swabs from surgical and burned wounds, collected under complete aseptic precautions, identified by conventional microbiologic methods [11]. All P. aeruginosa isolates were stored at −80 °C in nutrient broth with 20% (vol/vol) glycerol.
According to Clinical and Laboratory Standards Institute guidelines, antimicrobial susceptibility testing was done for the 30 P. aeruginosa clinical isolates using the disk diffusion method [12]. The clinical isolates were tested for their susceptibility to the following antibiotics (Oxoid, England): aztreonam (30 µg), cefepime (30 µg), ceftazidime (30 µg), ciprofloxacin (5 µg), fosfomycin (200 µg), gentamicin (10 µg), tobramycin (10 µg), amikacin (30 µg), meropenem (10 µg), and piperacillin/Tazobactam (100 µg). MDR organism was defined as the isolate was non-susceptible to at least one drug in three or more classes of antimicrobial [13].
Chitosan nanoparticles with a molecular weight less than 100 kDa, 85% degree of deacetylation, size less than 50nm, spherical in shape, and concentration 20 mg/mL were purchased from nanogate (www.nanogate-eg.com). The manufacturer prepared CS-NPs according to the ionotropic gelation process [14]. Blank nanoparticles were obtained upon the addition of a tripolyphosphate aqueous solution to a chitosan solution. Transmission Electron Microscopy was performed on JEOL JEM-2100 high-resolution transmission electron microscope at an accelerating voltage of 200 kV, respectively.
The broth microdilution method was used to determine the MIC of CS-NPs [12]. Two-fold serial dilutions of CS-NPs in Muller-Hinton broth (Oxoid, UK) were prepared to reach a final volume of 0.1 mL of each concentration in each well. A standardized inoculum using the direct colony suspension was prepared and diluted in sterile saline to obtain the suspension's final concentration of 0.5 McFarland. Then the inoculum was diluted at 1:20 to yield 5 × 106 CFU/mL. Finally, 0.01 mL of this suspension was added to each well. Negative control tubes containing broth only and other negative control tubes containing CS-NPs only with different concentrations. The microtiter plate was incubated at 37 °C for 24 hrs.
The MIC of CS-NPs against P. aeruginosa clinical isolates was determined using the resazurin microtiter plate assay[15]. This assay uses the redox indicator resazurin (Sigma-Aldrich, Germany) that changed color from blue to pink in the presence of viable cells. The MIC was determined as the concentration at which there was no color change following 4 hrs incubation of the overnight cells with 0.015% resazurin (Figure 1). One dilution below the MIC was regarded as the sub-MIC concentration and was used to evaluate the ability of the CS-NPs to inhibit the virulence activity.
P. aeruginosa can swim on soft surfaces, twitch on hard surfaces, and swarm on semi-solid surfaces. An overnight culture of isolates was diluted to 0.5 McFarland. Flagellum-dependent swimming was performed using swimming media. Swimming media composed of 8.0 g bacteriological agar, 5.0 g NaCl, 10.0 g Tryptone per liter, PH 7.0 ± 0.2 at 25 °C. While swarming motility was assayed using swarming media, Swarming media composed of 5.0 g agar, 10.0 g glucose, 5.0 g peptone, 2.0 g yeast extract per liter, PH 7.0 ± 0.2 at 25 °C (Lab M Limited, UK). The plates were inoculated with 2 µL of diluted (0.5 McFarland) culture then incubated for 24 hours (hrs) and 48 hrs at 37 °C. The diameter of the turbid zone (mm) was measured [16]. The assay was performed in triplicate, and the mean of the diameter was assigned.
The inhibitory effect of CS-NPs on motility was performed using the previously described method with the addition of sub-MICs of CS-NPs.
A loopful of overnight cultures of the tested organisms was inoculated into 5mL of Tryptic soy broth (TSB) (Lab M Limited, UK) with 1% glucose and incubated at 37 °C for 24 hrs. Each well of sterile 96 well-flat bottom polystyrene tissue culture plate (Sigma-Aldrich Co. LLC, USA) was filled with 200 uL of the bacterial suspension corresponding to 0.5 McFarland after further dilution of 1:100 with fresh medium along with control organisms. Only broth was served as a negative control to check the sterility and non-specific binding of media. The plates were incubated at 37 °C for 24 hrs. After incubation, contents of each well were removed by gentle tapping and wells were washed three times with 300 µL of sterile saline. The remaining attached bacteria were heat-fixed by exposing them to hot air at 60 °C for 60 min. Then 150 µL of crystal violet stain was added to each well. After 15 min, the excess dye was rinsed off by decantation, and the plate was washed. About 150 µL of 95% ethanol was added to each well. After 30 min, the optical densities (OD) of stained adherent bacterial films were read using a microtiter plate reader at 492 nm and 630 nm.
The test was carried out in triplicate, and the results were averaged. The OD values were calculated for all tested strains and negative controls, the cut-off value (ODc) was established. For interpretation of the results, strains were divided into the following categories: non-biofilm producer (0): OD ≤ ODc, weak biofilm producer (1+): ODc < OD ≤ 2 × ODc, moderate biofilm producer (2+): 2 × ODc < OD ≤ 4 × ODc, strong biofilm producer (3+): 4 × ODc < OD [17],[18].
The inhibitory effect of CS-NPs on ofilm formation was performed using the previously described method with the addition of sub-MICs of CS-NPs. The inhibition of biofilm formation was calculated using the equation below.
The most virulent P. aeruginosa clinical isolates were cultivated in Luria Bertani medium (OXOID, UK) supplemented with sub- MICs of CS-NPs until (18 hrs); the middle of the exponential growth phase (OD 600; 0.5 McFarland). The total RNA was extracted using Gene JET RNA Purification Kit according to the manufacturer's instructions. According to the manufacturer's instructions, the complementary DNA was synthesized using Thermo Scientific Verso SYBR Green 1-Step QRT-PCR Kit Plus ROX Vial (Thermo Scientific, Lithuania). Quantitative Real-Time PCR was used to measure the effect of CS-NPs on the expression of QS genes LasI and RhlI in treated and untreated cultures, in duplicates using the following primers RopD forward, 5-CGAACTGCTTGCCGACTT-3 and RopD reverse, 5-GCGAGAGCCTCAAGGATAC-3; LasI forward, 5-CGCACATCTGGGAACTCA-3 and LasI reverse, 5-CGGCACGGATCATCATCT-3; RhlI forward 5-GTAGCGGGTTTGCGGATG-3 and RhlI reverse, 5-CGGCATCAGGTCTTCATCG-3. The reaction mixture was prepared as in the manufacturer's instructions. Then the thermal cycling was programmed as follows; cDNA synthesis at 50 °C for 15 min 1 cycle, Thermo-Start activation at 95 °C for 15 min 1 cycle, 40 cycles of denaturation at 95 °C for 15 sec, annealing at 50 °C–60 °C for 30 sec, and extension at 72 °C for 30 sec. The reaction volume was set to 25 µL, then loaded into the thermal cycler then the reverse transcription run started. Melt curve was performed to confirm the specificity of the reaction. The expressions of the quantified genes were normalized to the expression of the housekeeping gene RopD because no change in the expression levels of this gene in treated and untreated cultures is exhibited. The gene expression level of treated P. aeruginosa was calculated relative to that in the untreated P. aeruginosa using 2−ΔΔCt method [20].
Analysis of the results was done using SPSS version 22. Quantitative data were expressed in the form of mean and standard deviation or median and range as appropriate. Paired t-test was utilized to study the significance of the inhibitory activity of CS-NPs on the motility of P. aeruginosa clinical isolates. Willcoxon Rank test was used to investigate the significance of the inhibitory activity against biofilm formation and expression of QS genes LasI and RhlI. P-values < 0.05 were statistically significant.
The P. aeruginosa strains enrolled in this study were obtained from different clinical samples. Most of isolates were from urine samples (13/30, 43.3%) followed by sputum (7/30, 23.3%), pus (6/30, 20%), CSF and blood (each 2/30, 6.6%). The antibiotic sensitivity pattern of isolated strains showed that they were highly resistant to cefepime, ceftazidime, and gentamycin with rates of 96%, 90%, and 87%, respectively. About 80% (24/30) of the isolates were MDR.
All 30 P. aeruginosa isolates exhibited both swimming and swarming motility (Figure 2a and 3a). The inhibitory activity of CS-NPs on the motility of clinical isolates was assessed at the sub-MICs (it differed among the strains, but it ranged from 5 mg/mL to 10 mg/mL) and is shown in (Figures 2b and 3b). The CS-NPs reduced the swimming and swarming motility of all bacterial isolates. The test differed from the control with a P-value of 0.0001. The mean (±SD) diameter of swimming motility was decreased from 3.93 (±1.5) to 1.63 (±1.02) cm, and the mean of the swarming motility was reduced from 3.5 (±1.6) to 1.9 (±1.07) cm (Table 1).
Isolate number |
Swimming motility (diameter in cm) |
Swarming motility (diameter in cm) |
Biofilm formation (Absorbance) |
||||
Control | Chitosan nanoparticles | Control | Chitosan nanoparticles | Control | Chitosan nanoparticles | Rate of biofilm inhibition (%) | |
8 | 4.5 | 2 | 3 | 1 | 0.587 (+2) | 0.063 (0) | 89.2 |
9 | 5 | 1.8 | 5 | 1.7 | 0.664 (+2) | 0.069 (0) | 89.6 |
10 | 3.5 | 1 | 3 | 1.3 | 0.792 (+2) | 0.01 (0) | 98.7 |
11 | 5.5 | 2 | 2 | 2 | 0.722 (+2) | 0.19 (0) | 73.6 |
16 | 4.2 | 2.1 | 3 | 2.2 | 0.593 (+2) | 0.116 (0) | 80.4 |
17 | 5 | 3 | 4.5 | 2.5 | 0.686 (+2) | 0.07 (0) | 89.7 |
20 | 5 | 4.8 | 4 | 1.5 | 0.661 (+2) | 0.081 (0) | 87.7 |
22 | 7 | 4 | 5 | 4 | 0.695 (+2) | 0.179 (0) | 74.2 |
23 | 3.5 | 0.8 | 4.5 | 1 | 0.545 (+1) | 0.044 (0) | 91.9 |
25 | 3 | 1 | 5 | 1 | 0.635 (+2) | 0.058 (0) | 90.8 |
26 | 5 | 1 | 7 | 4 | 0.728 (+2) | 0.163 (0) | 77.6 |
27 | 3.6 | 0.5 | 3.5 | 2 | 0.739 (+2) | 0.079 (0) | 89.3 |
28 | 4.8 | 1.3 | 1.3 | 1.3 | 0.692 (+2) | 0.114 (0) | 83.5 |
29 | 3.5 | 0.5 | 1 | 0.8 | 0.526 (+1) | 0.128 (0) | 75.6 |
30 | 4.5 | 1.25 | 2 | 0.5 | 0.713 (+2) | 0.128 (0) | 82 |
Mean (n = 30) | 3.93 | 1.63 | 3.5 | 1.9 | 0.667 | 0.099 | 84.95 |
±SD | 1.5 | 1.02 | 1.6 | 1.07 | 0.096 | 0.045 | 6.18 |
All 30 P. aeruginosa isolates showed biofilm production by microtiter plate assay. About 83.3% (25/30) of the isolates were moderate biofilm producers (+2), and 16.7% (5/30) were weak biofilm producers (+1). CS-NPs with the sub-MICs significantly reduced the biofilm formation by P. aeruginosa isolates (p-value < 0.01) as 100% of isolates became a non-biofilm producer (0) (Figures 4 and 5). The mean (±SD) of OD was decreased from 0.667 (±0.096) to 0.099 (±0.045). The mean percentage rate of biofilm inhibition was 84.95% (±6.18) (Table 1).
Isolate number |
Las I cycle threshold |
The fold of decrease of LasI expression |
RhlI cycle threshold |
The fold of decrease of Rhl I expression |
||
Control | Chitosan nanoparticles | Control | Chitosan nanoparticles | |||
8 | 15.94 | 25.2 | 500 | 17.42 | 27.3 | 1000 |
9 | 10.4 | 22.6 | 1000 | 11.63 | 23.01 | 625 |
10 | 13.6 | 20.9 | 34.48 | 14.6 | 21.8 | 32.25 |
11 | 12 | 22 | 256 | 13 | 21 | 64 |
16 | 10 | 12.03 | 5 | 10.86 | 12.6 | 9.25 |
17 | 11.5 | 13.5 | 16 | 12 | 14 | 16 |
20 | 16.1 | 24.63 | 64.1 | 15.88 | 25.01 | 128 |
22 | 11.5 | 13.5 | 4 | 12.5 | 14.9 | 6.5 |
23 | 15.3 | 26 | 416 | 15.9 | 23.8 | 64 |
25 | 11.5 | 26 | 90 | 10.8 | 25 | 100 |
26 | 13 | 23 | 32 | 11 | 24 | 256 |
27 | 11.8 | 21.4 | 400 | 13.08 | 21.8 | 250 |
28 | 23.7 | 30.5 | 16.6 | 12.22 | 19.7 | 66.6 |
29 | 12.5 | 29.5 | 3333.3 | 11.5 | 26.5 | 1176 |
30 | 13.3 | 25.2 | 4166 | 11.75 | 20.1 | 200 |
Median (n = 15) | 12.5 | 23 | 90 | 12.22 | 21.8 | 100 |
Mean | 13.5 | 22.4 | 689 | 13 | 21.4 | 266 |
±SD | 3.4 | 5.6 | 1282 | 2 | 4.5 | 370 |
CS-NPs inhibited virulence activity on the genotypic level as well (Figures 6 and 7). At the sub-MIC concentration of CS-NPs, the median of Las I cycle threshold (CT) was increased from 12.5 to 23, and the median CT of RhlI was increased from 12.22 to 21.8. The levels of LasI and RhlI expression were significantly lowered compared with untreated cultures. The median fold decrease of LasI, and RhlI expression in selected most virulent 15 isolates was 90 and 100, respectively (Table 2). The inhibition of gene expression was expressed by median due to the high variability of inhibition values ranging from 4166 to 5 and 1176 to 6.5 in Las I and RhlI, respectively, upon treatment with CS-NPs.
P. aeruginosa is an opportunistic microbe that can produce different types of infection, especially in immunocompromised patients [21]. The QS network controls bacterial virulence and biofilm-forming ability. It includes transcriptional regulators such as Las and Rhl, activated by their natural autoinducers [22].
Arise of MDR strains of P. aeruginosa is an expanding issue worldwide that messes up therapy of infections, resulting in remarkable morbidity and mortality rates [23]. In the current study, P. aeruginosa isolates exhibited high resistance rates to cefepime, ceftazidime, gentamicin, ciprofloxacin, and tobramycin. About 80% of the isolates were MDR. Pe et al. [24] reported a nearly similar rate of drug resistance. In contrast, a lower rate was reported by Sala et al. [25]. The antimicrobial susceptibility pattern varies among hospitals and populations, which can be explained by lack of antibiotic policy, non-compliance of patients, and non-adherence to infection control measures [26].
The latest reports have assessed new methods to fight against P. aeruginosa virulence factors that rely on QS inhibition [27]. The QS inhibitors restrain several virulence factors and biofilm without influencing growth, unlike antibiotics, thus could permit better function of the individual's immunity and externally administered antibiotics [1]. Subsequently, this approach is by all accounts promising to address these MDR pathogens and can be used as independent anti-infective drugs or in combination with other traditional antibiotics [28].
CS-NPs displayed significant antibacterial activity against K. pneumoniae, E. coli, S. aureus, and P. aeruginosa. This activity is more prominent in comparison to chitin and chitosan [8]. Various speculations have clarified the antibacterial activity of CS-NPs; the most widely recognized is the electrostatic communication between the positively charged amino groups on chitosan and the negative charges on the bacterial surface. An impermeable layer is formed around the cell that blocks the transport of important solutes through the outer membrane of Gram-negative bacteria. Also, this interaction alters the structure and permeability of cell membrane resulting in leakage of intracellular constituents [29],[30], followed by attachment to DNA hindering its replication that ends in cell death [31],[32]. Another mechanism is that chitosan chelates trace metal elements, causing toxin production and inhibiting microbial growth [10].
Thus, CS-NPs have become an expected possibility for combatting this era of multi-drug resistance. Past work by Aleanizy et al. [33] reported the remarkable antimicrobial impact of CS-NPs against P. aeruginosa. Their work gave proof of the anti-virulence activities of CS-NPs. In the current study, we focused on the inhibitory effect of CS-NPs on phenotypic virulence factors of P.aeruginosa regulated by QS as motility and biofilm formation. We confirmed our results on the genotypic level by performing Quantitative Real-Time PCR to detect the fold of decrease in expression of QS regulated LasI and RhlI genes.
Bacterial motility relates to its capacity of tissue adherence and biofilm formation and is under the control of QS systems as LasI/R and RhlI/R [34]. Motility enables the bacteria by giving nutrients, locomotion towards the substrate or host, getting away from the antibiotics, and spreading the biofilm [35]. In addition, it was observed that strains with impaired motilities could only form thin-spreading biofilms [36]. In the current study, the mean diameter of swimming motility in untreated cultures was 3.93 (±1.5), while that of swarming motility was 3.5 (±1.6) cm. However, in the presence of CS-NPs, the mean diameter of swimming motility was reduced to 1.63 (±1.2) cm, and that of swarming motility was decreased to 1.9(±1.07) cm. This almost concurs with past work by Khan et al. [37], they noticed a remarkable reduction in the diameter of the swimming motility zone from 3.05 (±0.07) cm to 0.95 (±0.07) cm in the presence of chitosan-polypyrrole nanocomposites, the diameter of swarming motility was reduced from 2.6 (±0.21) cm to 1.5 (±0.14). However, the bacterial isolates in their study were standard control strains, not strains isolated from clinical samples. There was no confirmation of the results by genotypic methods. Rubini et al. [38] also showed that chitosan had significant action in hindering the swarming motility of the tested strains. The authors evaluated the inhibitory effect of chitosan, not CS-NPs, on standard strains. Along the same line, Badawy et al. [17] tracked down that treatment with CH/ZnO nanocomposite reduced both swimming and swarming motility from 5.9 (±0.7) and 5.6 (±1.0) to 2.7 (±1.5) and 3.2 (±0.9) mm, respectively. They conducted their tests on only 10 most virulent isolates of P.aeruginosa and standard control strain PAO1.
Besides regulating virulence characters, QS controls P. aeruginosa biofilm-forming ability. A study showed that P. aeruginosa with mutations in lasR and lasI form impaired biofilms that are easily eliminated by antimicrobials [39]. Genes activated by QS encode exopolysaccharides and other items that control the structure of the developing communities [40]. The inhibitory action of chitosan on biofilm development was documented in several studies. Divya et al. [19] reported that chitosan has antibiofilm action against P. aeruginosa, E.coli, Staphylococcus aureus, and klebsiella pneumoniae with an inhibition rate up to 85%, 97%, 98%, and 94%, respectively. The study carried out by Divya et al. focused on the phenotypic inhibitory effect of CS-NPs on standard strains without confirming their results by genotypic methods. Muslim et al. [41] noticed a huge decline in biofilm development in the presence of chitosan, obviously confirmed under both light and scanning electron microscopy. Their study evaluated chitosan instead of CS-NPs, and the tests were carried out on standard strain. Some authors reported that both extracted and commercial chitosan of sub-MIC strongly inhibited P. aeruginosa and Serretia marcescens biofilms, with a maximum degree of inhibition (58–65%) and p-value significance of <0.001 [38]. In the current study, treatment of P. aeruginosa isolates with CS-NPs suppressed biofilm formation as mean OD decreased from 0.667 (±0.096) to 0.099 (±0.045). The rate of inhibition of biofilm formation was 84.95% (±6.18) among the thirty isolates. Such inhibitory activity may be related to inhibiting exopolysaccharide synthesis or disseminating CS-NPs through the biofilm channels [41],[42].
Most studies investigating QS and its role in P. aeruginosa pathogenicity have highlighted the LasI/R system because of its position at the head of the QS signal transduction pathway. Accordingly, any changes in their expression would influence the phenotype of the organism [43]. In the current study, we found a remarkable increase in Las I gene's mean cycle threshold from 12.5 to 23 and RhlI gene from 12.22 to 21.8 after treatment by CS-NPs. The expression of Las I and RhlI was decreased by 90 and 100 folds, respectively. Previous work by Muslim et al. [41] showed a reduction in the expression level of LasR and RhlR genes by 32 and 8 folds, respectively. Rubini et al. [38] reported that both extracted chitosan and commercial chitosan exhibited 0.2–0.4 fold down-regulation of LasI and RhlI expression levels in the exposed P. aeruginosa isolates. Badawy et al. [17] announced that the chitosan decreased LasI and RhlI gene expression levels in P. aeruginosa by 98.09 and 64.91 folds, respectively. They noticed that treatment of the isolates with CH/ZnO nanocomposite greatly reduced LasI and RhlI gene expression compared to chitosan only. When chitosan is combined with nanomaterials, it develops a higher surface-to-volume ratio; the large surface area of CS-NPs enables it to be tightly absorbed to the surface of bacteria, thereby disrupting the membrane leading to leakage of intracellular compounds and subsequently cell death [44],[45].
The application of CS-NPs reduces the virulence factors significantly at both genotypic and phenotypic levels. These promising results can breathe hope in the fight against resistant P. aeruginosa by repressing its QS-regulated virulence factors.
[1] |
Flockton TR, Schnorbus L, Araujo A, et al. (2019) Inhibition of Pseudomonas aeruginosa biofilm formation with surface modified polymeric nanoparticles. Pathogens 8: 55. doi: 10.3390/pathogens8020055
![]() |
[2] | Cao Q, Wang Y, Chen F, et al. (2014) A novel signal transduction pathway that modulates rhl quorum sensing and bacterial virulence in Pseudomonas aeruginosa. PLoS Pathog 10: 8-10. |
[3] |
Moradali MF, Ghods S, Rehm BHA (2017) Pseudomonas aeruginosa lifestyle: A paradigm for adaptation, survival, and persistence. Front Cell Infect Microbiol 7. doi: 10.3389/fcimb.2017.00039
![]() |
[4] |
Kostylev M, Kim DY, Smalley NE, et al. (2019) Evolution of the Pseudomonas aeruginosa quorum-sensing hierarchy. Proc Natl Acad Sci USA 116: 7027-7032. doi: 10.1073/pnas.1819796116
![]() |
[5] |
Pang Z, Raudonis R, Glick BR, et al. (2019) Antibiotic resistance in Pseudomonas aeruginosa: mechanisms and alternative therapeutic strategies. Biotechnol Adv 37: 177-92. doi: 10.1016/j.biotechadv.2018.11.013
![]() |
[6] |
Kong M, Chen XG, Xing K, et al. (2010) Antimicrobial properties of chitosan and mode of action: A state of the art review. Int J Food Microbiol 144: 51-63. doi: 10.1016/j.ijfoodmicro.2010.09.012
![]() |
[7] |
Machul A, Mikołajczyk D, Regiel-Futyra A, et al. (2015) Study on inhibitory activity of chitosan-based materials against biofilm producing Pseudomonas aeruginosa strains. J Biomater Appl 30: 269-278. doi: 10.1177/0885328215578781
![]() |
[8] |
Ma Z, Garrido-Maestu A, Jeong KC (2017) Application, mode of action, and in vivo activity of chitosan and its micro- and nanoparticles as antimicrobial agents: A review. Carbohydr Polym 176: 257-265. doi: 10.1016/j.carbpol.2017.08.082
![]() |
[9] |
Vilar Junior JC, Ribeaux DR, Alves Da Silva CA, et al. (2016) Physicochemical and antibacterial properties of chitosan extracted from waste shrimp shells. Int J Microbiol 2016. doi: 10.1155/2016/5127515
![]() |
[10] |
Chandrasekaran M, Kim KD, Chun SC (2020) Antibacterial activity of chitosan nanoparticles: A review. Processes 8: 1-21. doi: 10.3390/pr8091173
![]() |
[11] | Tille PM (2017) Traditional cultivation and identification. Bailey and Scott's Diagnostic Microbiology 86-112. |
[12] | Clinical and Laboratory Standards Institute (2020) CLSI M100 30th Edition. Vol. 30th, Journal of Services Marketing . |
[13] |
Magiorakos AP, Srinivasan A, Carey RB, et al. (2012) Multidrug-resistant, extensively drug-resistant and pandrug-resistant bacteria: An international expert proposal for interim standard definitions for acquired resistance. Clin Microbiol Infect 18: 268-281. doi: 10.1111/j.1469-0691.2011.03570.x
![]() |
[14] |
Hasanin MT, Elfeky SA, Mohamed MB, et al. (2018) Production of well-dispersed aqueous cross-linked chitosan-based nanomaterials as alternative antimicrobial approach. J Inorg Organomet Polym Mater 28: 1502-1510. doi: 10.1007/s10904-018-0855-2
![]() |
[15] |
Elshikh M, Ahmed S, Funston S, et al. (2016) Resazurin-based 96-well plate microdilution method for the determination of minimum inhibitory concentration of biosurfactants. Biotechnol Lett 38: 1015-1019. doi: 10.1007/s10529-016-2079-2
![]() |
[16] |
Shah S, Gaikwad S, Nagar S, et al. (2019) Biofilm inhibition and anti-quorum sensing activity of phytosynthesized silver nanoparticles against the nosocomial pathogen Pseudomonas aeruginosa. Biofouling 35: 34-49. doi: 10.1080/08927014.2018.1563686
![]() |
[17] |
Badawy MSEM, Riad OKM, Taher FA, et al. (2020) Chitosan and chitosan-zinc oxide nanocomposite inhibit expression of LasI and RhlI genes and quorum sensing dependent virulence factors of Pseudomonas aeruginosa. Int J Biol Macromol 149: 1109-17. doi: 10.1016/j.ijbiomac.2020.02.019
![]() |
[18] |
Rehman SA (2018) Comparison of Phenotypic Methods for the Detection of Biofilm Production in Indwelling Medical Devices Used in NICU & PICU in a Tertiary Care Hospital in Hyderabad, India. Int J Curr Microbiol Appl Sci 7: 3265-73. doi: 10.20546/ijcmas.2018.709.405
![]() |
[19] |
Divya K, Vijayan S, George TK, et al. (2017) Antimicrobial properties of chitosan nanoparticles: Mode of action and factors affecting activity. Fibers Polym 18: 221-230. doi: 10.1007/s12221-017-6690-1
![]() |
[20] |
Livak KJ, Schmittgen TD (2001) Analysis of relative gene expression data using real-time quantitative PCR and the 2-ΔΔCT method. Methods 25: 402-408. doi: 10.1006/meth.2001.1262
![]() |
[21] | Hwang W, Yoon SS (2019) Virulence characteristics and an action mode of antibiotic resistance in multidrug-resistant Pseudomonas aeruginosa. Sci Rep 9: 1-15. |
[22] | Grabski H, Tiratsuyan S (2018) Mechanistic insights of the attenuation of quorum-sensing-dependent virulence factors of Pseudomonas aeruginosa: Molecular modeling of the interaction of taxifolin with transcriptional regulator LasR. bioRxiv 1-31. |
[23] |
Oliver A, Mulet X, López-Causapé C, et al. (2015) The increasing threat of Pseudomonas aeruginosa high-risk clones. Drug Resist Updat 21–22: 41-59. doi: 10.1016/j.drup.2015.08.002
![]() |
[24] |
Pérez A, Gato E, Pérez-Llarena J, et al. (2019) High incidence of MDR and XDR Pseudomonas aeruginosa isolates obtained from patients with ventilator-associated pneumonia in Greece, Italy and Spain as part of the MagicBullet clinical trial. J Antimicrob Chemother 74: 1244-52. doi: 10.1093/jac/dkz030
![]() |
[25] |
Sala A, Ianni F Di, Pelizzone I, et al. (2019) The prevalence of Pseudomonas aeruginosa and multidrug resistant Pseudomonas aeruginosa in healthy captive ophidian. PeerJ 7: 1-13. doi: 10.7717/peerj.6706
![]() |
[26] | Parmar H, Dholakia A, Vasavada D, et al. (2013) The current status of antibiotic sensitivity of Pseudomonas aeruginosa isolated from various clinical samples. Blood 41: 17.98. |
[27] |
Pérez-Pérez M, Jorge P, Pérez Rodríguez G, et al. (2017) Quorum sensing inhibition in Pseudomonas aeruginosa biofilms: new insights through network mining. Biofouling 33: 128-42. doi: 10.1080/08927014.2016.1272104
![]() |
[28] | Zhong L, Ravichandran V, Zhang N, et al. (2020) Attenuation of Pseudomonas aeruginosa quorum sensing by natural products: Virtual screening, evaluation and biomolecular interactions. Int J Mol Sci 21. |
[29] |
Rozman NAS, Yenn TW, Ring LC, et al. (2019) Potential antimicrobial applications of chitosan nanoparticles (ChNP). J Microbiol Biotechnol 29: 1009-1013. doi: 10.4014/jmb.1904.04065
![]() |
[30] |
Alqahtani F, Aleanizy F, Tahir E El, et al. (2020) Antibacterial activity of chitosan nanoparticles against pathogenic n. Gonorrhoea. Int J Nanomedicine 15: 7877-7887. doi: 10.2147/IJN.S272736
![]() |
[31] | Abdeltwab W, Abdelaliem Y, Metry W, et al. (2019) Antimicrobial effect of chitosan and nano-chitosan against some pathogens and spoilage microorganisms. J Adv Lab Res Biol 10: 8-15. |
[32] | Madhi M, Hasani A, Mojarrad JS, et al. (2020) Impact of chitosan and silver nanoparticles laden with antibiotics on multidrug-resistant Pseudomonas aeruginosa and acinetobacter Baumannii. Arch Clin Infect Dis 15: 1-10. |
[33] |
Aleanizy FS, Alqahtani FY, Shazly G, et al. (2018) Measurement and evaluation of the effects of pH gradients on the antimicrobial and antivirulence activities of chitosan nanoparticles in Pseudomonas aeruginosa. Saudi Pharm J 26: 79-83. doi: 10.1016/j.jsps.2017.10.009
![]() |
[34] | Limoli DH, Warren EA, Yarrington KD, et al. (2019) Interspecies interactions induce exploratory motility in Pseudomonas aeruginosa. eLifeMicrobiology Infect Dis 8: 1-24. |
[35] | Leighton TL, Harvey H, Howell PL, et al. (2017) Cyclic AMP-independent control of twitching motility in Pseudomonas aeruginosa. J Bacteriol 199: 1-14. |
[36] |
Heydorn A, Ersbøll B, Kato J, et al. (2002) Statistical analysis of Pseudomonas aeruginosa biofilm development: Impact of mutations in genes involved in twitching motility, cell-to-cell signaling, and stationary-phase sigma factor expression. Appl Environ Microbiol 68: 2008-2017. doi: 10.1128/AEM.68.4.2008-2017.2002
![]() |
[37] |
Khan F, Manivasagan P, Thuy D, et al. (2019) Microbial pathogenesis antibiofilm and antivirulence properties of chitosan-polypyrrole nanocomposites to Pseudomonas aeruginosa. Microb Pthogenes 128: m363-73. doi: 10.1016/j.micpath.2019.01.033
![]() |
[38] |
Rubini D, Farisa S, Subramani P (2019) Extracted chitosan disrupts quorum sensing mediated virulence factors in Urinary tract infection causing pathogens. Pathog Dis 77. doi: 10.1093/femspd/ftz009
![]() |
[39] | Davies DG, Parsek MR, Pearson JP, et al. (1998) The involvement of cell-to-cell signals in the development of a bacterial biofilm. AAAS 280: 295-299. |
[40] |
Colvin KM, Irie Y, Tart CS, et al. (2012) The Pel and Psl polysaccharides provide Pseudomonas aeruginosa structural redundancy within the biofilm matrix. Environ Microbiol 14: 1913-1928. doi: 10.1111/j.1462-2920.2011.02657.x
![]() |
[41] |
Muslim SN, Kadmy IMSA, Ali ANM, et al. (2018) Chitosan extracted from Aspergillus flavus shows synergistic effect, eases quorum sensing mediated virulence factors and biofilm against nosocomial pathogen Pseudomonas aeruginosa. Int J Biol Macromol 107: 52-58. doi: 10.1016/j.ijbiomac.2017.08.146
![]() |
[42] |
Vaidyanathan R, Gopalram S, Kalishwaralal K, et al. (2010) Enhanced silver nanoparticle synthesis by optimization of nitrate reductase activity. Colloids Surfaces B Biointerfaces 75: 335-41. doi: 10.1016/j.colsurfb.2009.09.006
![]() |
[43] |
Mukherjee S, Moustafa D, Smith CD, et al. (2017) The RhlR quorum-sensing receptor controls Pseudomonas aeruginosa pathogenesis and biofilm development independently of its canonical homoserine lactone autoinducer. PLOS Pathog 13: 1-25. doi: 10.1371/journal.ppat.1006504
![]() |
[44] |
Landriscina A, Rosen J, Friedman AJ (2015) Biodegradable chitosan nanoparticles in drug delivery for infectious disease. Nanomedicine 10: 1609-1619. doi: 10.2217/nnm.15.7
![]() |
[45] |
Qi L, Xu Z, Jiang X, et al. (2004) Preparation and antibacterial activity of chitosan nanoparticles. Carbohydr Res 339: 2693-2700. doi: 10.1016/j.carres.2004.09.007
![]() |
1. | Patrick Di Martino, Antimicrobial agents and microbial ecology, 2022, 8, 2471-1888, 1, 10.3934/microbiol.2022001 | |
2. | Dominik Maršík, Olga Maťátková, Anna Kolková, Jan Masák, Exploring the antimicrobial potential of chitosan nanoparticles: synthesis, characterization and impact on Pseudomonas aeruginosa virulence factors, 2024, 6, 2516-0230, 3093, 10.1039/D4NA00064A | |
3. | Faten Farouk, Rania Ibrahim Shebl, LC–MS/MS determination of pyocyanin–N-acetyl cysteine adduct: application for understanding Pseudomonas aeruginosa virulence factor neutralization, 2024, 40, 0910-6340, 891, 10.1007/s44211-024-00531-9 | |
4. | Shima Afrasiabi, Alireza Partoazar, Targeting bacterial biofilm-related genes with nanoparticle-based strategies, 2024, 15, 1664-302X, 10.3389/fmicb.2024.1387114 | |
5. | Chen Hu, Guixin He, Yujun Yang, Ning Wang, Yanli Zhang, Yuan Su, Fujian Zhao, Junrong Wu, Linlin Wang, Yuqing Lin, Longquan Shao, Nanomaterials Regulate Bacterial Quorum Sensing: Applications, Mechanisms, and Optimization Strategies, 2024, 11, 2198-3844, 10.1002/advs.202306070 | |
6. | Maedeh Alinaghiyan, Elnaz Sadat Mirsamadi, Mohammad Karim Rahimi, The expression of the fosfomycin (fos) resistant gene in chitosan nanoparticle-treated Proteus mirabilis isolated from urine samples, 2024, 34, 24520144, 101863, 10.1016/j.genrep.2023.101863 | |
7. | Rahul Harikumar Lathakumari, Leela Kakithakara Vajravelu, Jayaprakash Thulukanam, Vishnupriya Panneerselvam, Poornima Baskar Vimala, Dakshina Manoj Nair, Sujith Sri Surya Ravi, Green Synthesis of Iron Oxide Nanoparticles and Their Antibacterial Efficacy against Carbapenem-resistant Klebsiella pneumoniae in Bloodstream Infections, 2024, 8, 2588-9834, 493, 10.4103/bbrj.bbrj_333_24 | |
8. | Shakila Baei Lashaki, Pooria Moulavi, Fatemeh Ashrafi, Aram Sharifi, Sepideh Asadi, Imipenem/Cilastatin encapsulation in UIO-66-NH2 carrier as a new strategy for combating imipenem-resistant Pseudomonas aeruginosa isolates, 2025, 22137165, 10.1016/j.jgar.2025.01.010 | |
9. | Habiba lawal, Shamsaldeen Ibrahim Saeed, Mohammed Sani Gaddafi, Nor Fadhilah Kamaruzzaman, Guilherme Dilarri, Green Nanotechnology: Naturally Sourced Nanoparticles as Antibiofilm and Antivirulence Agents Against Infectious Diseases, 2025, 2025, 1687-918X, 10.1155/ijm/8746754 | |
10. | Andreea Mihaela Grămadă (Pintilie), Adelina-Gabriela Niculescu, Alexandra Cătălina Bîrcă, Alina Maria Holban, Alina Ciceu, Cornel Balta, Hildegard Herman, Anca Hermenean, Simona Ardelean, Alexandra-Elena Stoica, Alexandru Mihai Grumezescu, Adina Alberts, Electrospun Chitosan-Coated Recycled PET Scaffolds for Biomedical Applications: Short-Term Antimicrobial Efficacy and In Vivo Evaluation, 2025, 17, 2073-4360, 1077, 10.3390/polym17081077 | |
11. | Muhammad Bilal Habib, Naseer Ali Shah, Afreenish Amir, Muhammad Haseeb Tariq, Molecular and computational insights into algD biofilm genes in multi drug resistant and extensively drug resistant Pseudomonas aeruginosa, 2025, 205, 08824010, 107634, 10.1016/j.micpath.2025.107634 |
Isolate number |
Swimming motility (diameter in cm) |
Swarming motility (diameter in cm) |
Biofilm formation (Absorbance) |
||||
Control | Chitosan nanoparticles | Control | Chitosan nanoparticles | Control | Chitosan nanoparticles | Rate of biofilm inhibition (%) | |
8 | 4.5 | 2 | 3 | 1 | 0.587 (+2) | 0.063 (0) | 89.2 |
9 | 5 | 1.8 | 5 | 1.7 | 0.664 (+2) | 0.069 (0) | 89.6 |
10 | 3.5 | 1 | 3 | 1.3 | 0.792 (+2) | 0.01 (0) | 98.7 |
11 | 5.5 | 2 | 2 | 2 | 0.722 (+2) | 0.19 (0) | 73.6 |
16 | 4.2 | 2.1 | 3 | 2.2 | 0.593 (+2) | 0.116 (0) | 80.4 |
17 | 5 | 3 | 4.5 | 2.5 | 0.686 (+2) | 0.07 (0) | 89.7 |
20 | 5 | 4.8 | 4 | 1.5 | 0.661 (+2) | 0.081 (0) | 87.7 |
22 | 7 | 4 | 5 | 4 | 0.695 (+2) | 0.179 (0) | 74.2 |
23 | 3.5 | 0.8 | 4.5 | 1 | 0.545 (+1) | 0.044 (0) | 91.9 |
25 | 3 | 1 | 5 | 1 | 0.635 (+2) | 0.058 (0) | 90.8 |
26 | 5 | 1 | 7 | 4 | 0.728 (+2) | 0.163 (0) | 77.6 |
27 | 3.6 | 0.5 | 3.5 | 2 | 0.739 (+2) | 0.079 (0) | 89.3 |
28 | 4.8 | 1.3 | 1.3 | 1.3 | 0.692 (+2) | 0.114 (0) | 83.5 |
29 | 3.5 | 0.5 | 1 | 0.8 | 0.526 (+1) | 0.128 (0) | 75.6 |
30 | 4.5 | 1.25 | 2 | 0.5 | 0.713 (+2) | 0.128 (0) | 82 |
Mean (n = 30) | 3.93 | 1.63 | 3.5 | 1.9 | 0.667 | 0.099 | 84.95 |
±SD | 1.5 | 1.02 | 1.6 | 1.07 | 0.096 | 0.045 | 6.18 |
Isolate number |
Las I cycle threshold |
The fold of decrease of LasI expression |
RhlI cycle threshold |
The fold of decrease of Rhl I expression |
||
Control | Chitosan nanoparticles | Control | Chitosan nanoparticles | |||
8 | 15.94 | 25.2 | 500 | 17.42 | 27.3 | 1000 |
9 | 10.4 | 22.6 | 1000 | 11.63 | 23.01 | 625 |
10 | 13.6 | 20.9 | 34.48 | 14.6 | 21.8 | 32.25 |
11 | 12 | 22 | 256 | 13 | 21 | 64 |
16 | 10 | 12.03 | 5 | 10.86 | 12.6 | 9.25 |
17 | 11.5 | 13.5 | 16 | 12 | 14 | 16 |
20 | 16.1 | 24.63 | 64.1 | 15.88 | 25.01 | 128 |
22 | 11.5 | 13.5 | 4 | 12.5 | 14.9 | 6.5 |
23 | 15.3 | 26 | 416 | 15.9 | 23.8 | 64 |
25 | 11.5 | 26 | 90 | 10.8 | 25 | 100 |
26 | 13 | 23 | 32 | 11 | 24 | 256 |
27 | 11.8 | 21.4 | 400 | 13.08 | 21.8 | 250 |
28 | 23.7 | 30.5 | 16.6 | 12.22 | 19.7 | 66.6 |
29 | 12.5 | 29.5 | 3333.3 | 11.5 | 26.5 | 1176 |
30 | 13.3 | 25.2 | 4166 | 11.75 | 20.1 | 200 |
Median (n = 15) | 12.5 | 23 | 90 | 12.22 | 21.8 | 100 |
Mean | 13.5 | 22.4 | 689 | 13 | 21.4 | 266 |
±SD | 3.4 | 5.6 | 1282 | 2 | 4.5 | 370 |
Isolate number |
Swimming motility (diameter in cm) |
Swarming motility (diameter in cm) |
Biofilm formation (Absorbance) |
||||
Control | Chitosan nanoparticles | Control | Chitosan nanoparticles | Control | Chitosan nanoparticles | Rate of biofilm inhibition (%) | |
8 | 4.5 | 2 | 3 | 1 | 0.587 (+2) | 0.063 (0) | 89.2 |
9 | 5 | 1.8 | 5 | 1.7 | 0.664 (+2) | 0.069 (0) | 89.6 |
10 | 3.5 | 1 | 3 | 1.3 | 0.792 (+2) | 0.01 (0) | 98.7 |
11 | 5.5 | 2 | 2 | 2 | 0.722 (+2) | 0.19 (0) | 73.6 |
16 | 4.2 | 2.1 | 3 | 2.2 | 0.593 (+2) | 0.116 (0) | 80.4 |
17 | 5 | 3 | 4.5 | 2.5 | 0.686 (+2) | 0.07 (0) | 89.7 |
20 | 5 | 4.8 | 4 | 1.5 | 0.661 (+2) | 0.081 (0) | 87.7 |
22 | 7 | 4 | 5 | 4 | 0.695 (+2) | 0.179 (0) | 74.2 |
23 | 3.5 | 0.8 | 4.5 | 1 | 0.545 (+1) | 0.044 (0) | 91.9 |
25 | 3 | 1 | 5 | 1 | 0.635 (+2) | 0.058 (0) | 90.8 |
26 | 5 | 1 | 7 | 4 | 0.728 (+2) | 0.163 (0) | 77.6 |
27 | 3.6 | 0.5 | 3.5 | 2 | 0.739 (+2) | 0.079 (0) | 89.3 |
28 | 4.8 | 1.3 | 1.3 | 1.3 | 0.692 (+2) | 0.114 (0) | 83.5 |
29 | 3.5 | 0.5 | 1 | 0.8 | 0.526 (+1) | 0.128 (0) | 75.6 |
30 | 4.5 | 1.25 | 2 | 0.5 | 0.713 (+2) | 0.128 (0) | 82 |
Mean (n = 30) | 3.93 | 1.63 | 3.5 | 1.9 | 0.667 | 0.099 | 84.95 |
±SD | 1.5 | 1.02 | 1.6 | 1.07 | 0.096 | 0.045 | 6.18 |
Isolate number |
Las I cycle threshold |
The fold of decrease of LasI expression |
RhlI cycle threshold |
The fold of decrease of Rhl I expression |
||
Control | Chitosan nanoparticles | Control | Chitosan nanoparticles | |||
8 | 15.94 | 25.2 | 500 | 17.42 | 27.3 | 1000 |
9 | 10.4 | 22.6 | 1000 | 11.63 | 23.01 | 625 |
10 | 13.6 | 20.9 | 34.48 | 14.6 | 21.8 | 32.25 |
11 | 12 | 22 | 256 | 13 | 21 | 64 |
16 | 10 | 12.03 | 5 | 10.86 | 12.6 | 9.25 |
17 | 11.5 | 13.5 | 16 | 12 | 14 | 16 |
20 | 16.1 | 24.63 | 64.1 | 15.88 | 25.01 | 128 |
22 | 11.5 | 13.5 | 4 | 12.5 | 14.9 | 6.5 |
23 | 15.3 | 26 | 416 | 15.9 | 23.8 | 64 |
25 | 11.5 | 26 | 90 | 10.8 | 25 | 100 |
26 | 13 | 23 | 32 | 11 | 24 | 256 |
27 | 11.8 | 21.4 | 400 | 13.08 | 21.8 | 250 |
28 | 23.7 | 30.5 | 16.6 | 12.22 | 19.7 | 66.6 |
29 | 12.5 | 29.5 | 3333.3 | 11.5 | 26.5 | 1176 |
30 | 13.3 | 25.2 | 4166 | 11.75 | 20.1 | 200 |
Median (n = 15) | 12.5 | 23 | 90 | 12.22 | 21.8 | 100 |
Mean | 13.5 | 22.4 | 689 | 13 | 21.4 | 266 |
±SD | 3.4 | 5.6 | 1282 | 2 | 4.5 | 370 |