Biofilm Formation by Escherichia coli Isolated from Urinary Tract Infections from Aguascalientes, Mexico

Ramírez Castillo, Flor Yazmín; Guerrero Barrera, Alma Lilian; Harel, Josée; Avelar González, Francisco Javier; Vogeleer, Philippe; Arreola Guerra, José Manuel; González Gámez, Mario

doi:10.3390/microorganisms11122858

Cited by 2 publications

(1 citation statement)

References 88 publications

(151 reference statements)

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“…Table 1 summarizes the virulence factors implicated in E. coli pathogenesis and especially adhesion and biofilm formation. The role of virulence genes of E. coli in its adhesion to catheter surfaces has been reported in several studies [82,83,89,90,92,[94][95][96][97][98][99][100][101][102]. For example, Reisner et al [94] reported that 73% of E. coli strains isolated from catheterized patients expressed type 1 fimbriae.…”

Section: Escherichia Colimentioning

confidence: 98%

Medical Device-Associated Biofilm Infections and Multidrug-Resistant Pathogens

Bouhrour,

Nibbering,

Bendali

2024

Pathogens

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Medical devices such as venous catheters (VCs) and urinary catheters (UCs) are widely used in the hospital setting. However, the implantation of these devices is often accompanied by complications. About 60 to 70% of nosocomial infections (NIs) are linked to biofilms. The main complication is the ability of microorganisms to adhere to surfaces and form biofilms which protect them and help them to persist in the host. Indeed, by crossing the skin barrier, the insertion of VC inevitably allows skin flora or accidental environmental contaminants to access the underlying tissues and cause fatal complications like bloodstream infections (BSIs). In fact, 80,000 central venous catheters—BSIs (CVC-BSIs)—mainly occur in intensive care units (ICUs) with a death rate of 12 to 25%. Similarly, catheter-associated urinary tract infections (CA-UTIs) are the most commonlyhospital-acquired infections (HAIs) worldwide. These infections represent up to 40% of NIs.In this review, we present a summary of biofilm formation steps. We provide an overview of two main and important infections in clinical settings linked to medical devices, namely the catheter-asociated bloodstream infections (CA-BSIs) and catheter-associated urinary tract infections (CA-UTIs), and highlight also the most multidrug resistant bacteria implicated in these infections. Furthermore, we draw attention toseveral useful prevention strategies, and advanced antimicrobial and antifouling approaches developed to reduce bacterial colonization on catheter surfaces and the incidence of the catheter-related infections.

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Section: Escherichia Colimentioning

confidence: 98%

Medical Device-Associated Biofilm Infections and Multidrug-Resistant Pathogens

Bouhrour,

Nibbering,

Bendali

2024

Pathogens

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Predictive Modeling for Inactivation of Escherichia coli Biofilm with Combined Treatment of Thermosonication and Organic Acid on Polystyrene Surface

Unal Turhan,

Koca

2024

Foods

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The present study aimed to evaluate the antibiofilm effect of combined sonication treatment with organic acids on polystyrene surfaces and to develop a predictive model for the inactivation of Escherichia coli biofilms. Polystyrene plates containing E. coli biofilms were subjected to sonication using different inactivation solutions (PBS, lactic acid, and acetic acid) at varying temperatures (20 °C, 40 °C, and 50 °C) and durations (2 and 5 min). The effects of temperature, treatment duration, and inactivation solution on E. coli biofilm removal were statistically significant (p < 0.05). The use of organic acids, along with increased treatment time and temperature, led to a significant reduction in viable cell counts (0.43–6.21 log CFU/mL) and optical density (0.13–0.72 at OD600) of E. coli biofilms (p < 0.05). The highest E. coli biofilm inactivation, with a reduction of 6.21 CFU/mL and 0.72 OD, was achieved by combining organic acid and thermosonication at 50 °C for 5 min. A significant positive correlation was observed between test methods based on viable cell count and optical density (OD) measurements. According to multiple linear regression analysis results, the R2 values of the predictive models for biofilm inactivation, based on viable cell count and OD measurements, were 0.84 and 0.80, respectively. Due to its higher accuracy, the predictive model developed using viable cell count data is recommended for applications in the food industry and processing sectors.

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Biofilm Formation by Escherichia coli Isolated from Urinary Tract Infections from Aguascalientes, Mexico

Cited by 2 publications

References 88 publications

Medical Device-Associated Biofilm Infections and Multidrug-Resistant Pathogens

Medical Device-Associated Biofilm Infections and Multidrug-Resistant Pathogens

Predictive Modeling for Inactivation of Escherichia coli Biofilm with Combined Treatment of Thermosonication and Organic Acid on Polystyrene Surface

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