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Anti-biofilm Approach in Infective Endocarditis Exposes New Treatment Strategies for Improved Outcome

期刊

出版社

FRONTIERS MEDIA SA
DOI: 10.3389/fcell.2021.643335

关键词

biofilm; infective endocarditis; innate immunity; Staphylococcus aureus; dabigatran; hyperbaric oxygen therapy; in vivo; in vitro

资金

  1. Novo Nordisk FoundationBorregaard Clinical Scientist Grant [NNF17OC0025074]

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Infective endocarditis is a life-threatening infectious disease, where high-dose and long-term antibiotic therapy can improve outcomes, but microbial biofilm formation on affected heart valves can lead to persistent or recurrent cases of infection. Non-antibiotic, antimicrobial approaches targeting biofilm formation may offer potential novel strategies for the treatment of IE caused by Staphylococcus aureus.
Infective endocarditis (IE) is a life-threatening infective disease with increasing incidence worldwide. From early on, in the antibiotic era, it was recognized that high-dose and long-term antibiotic therapy was correlated to improved outcome. In addition, for several of the common microbial IE etiologies, the use of combination antibiotic therapy further improves outcome. IE vegetations on affected heart valves from patients and experimental animal models resemble biofilm infections. Besides the recalcitrant nature of IE, the microorganisms often present in an aggregated form, and gradients of bacterial activity in the vegetations can be observed. Even after appropriate antibiotic therapy, such microbial formations can often be identified in surgically removed, infected heart valves. Therefore, persistent or recurrent cases of IE, after apparent initial infection control, can be related to biofilm formation in the heart valve vegetations. On this background, the present review will describe potentially novel non-antibiotic, antimicrobial approaches in IE, with special focus on anti-thrombotic strategies and hyperbaric oxygen therapy targeting the biofilm formation of the infected heart valves caused by Staphylococcus aureus. The format is translational from preclinical models to actual clinical treatment strategies.

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