1996
DOI: 10.1007/bf02355193
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Pathogenesis and Management of Bacterial Biofilms in the Urinary Tract

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Cited by 22 publications
(19 citation statements)
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“…However, treatment with DNase seemed to reduce the thickness of the wires but did not remove them, as seen by CLSM, similar to findings by Alhede et al (2). Krautgartner et al (29) showed that fibrin and NETs cannot be discriminated by SEM based on morphological criteria but that CLSM can be used to visualize fully hydrated bacterial biofilms (30), and thereby DNA wires. The origin of the DNA was not determined, and further studies are required to determine whether it arises from bacteria or PMNs.…”
Section: Discussionsupporting
confidence: 71%
“…However, treatment with DNase seemed to reduce the thickness of the wires but did not remove them, as seen by CLSM, similar to findings by Alhede et al (2). Krautgartner et al (29) showed that fibrin and NETs cannot be discriminated by SEM based on morphological criteria but that CLSM can be used to visualize fully hydrated bacterial biofilms (30), and thereby DNA wires. The origin of the DNA was not determined, and further studies are required to determine whether it arises from bacteria or PMNs.…”
Section: Discussionsupporting
confidence: 71%
“…In this model, the bacteria enmeshed in biofilms formed on the surface of the PT in the bladder play an important role in the persistence of the infection in the bladder and kidneys (13). The antibacterial activity against the bacteria in a biofilm mode of growth might have clinical relevance (20), especially for urinary tract infections associated with foreign bodies, including urinary catheters and stents (12).…”
Section: Vol 47 2003 Antibacterial Activities Of Dk-507k 3755mentioning
confidence: 99%
“…Typically, the biofilm mode of bacterial growth on the surface of the urinary catheter and adjacent mucosa accounts for the pathophysiology of foreign body-associated UTI (6)(7)(8). The role of bacterial biofilms on the surface of urinary catheters in UTI has been studied in rabbit models (5,13).…”
Section: Abstract: Rat Model Pseudomonas Aeruginosa Urinary Tract mentioning
confidence: 99%