메뉴 건너뛰기
.. 내서재 .. 알림
소속 기관/학교 인증
인증하면 논문, 학술자료 등을  무료로 열람할 수 있어요.
한국대학교, 누리자동차, 시립도서관 등 나의 기관을 확인해보세요
(국내 대학 90% 이상 구독 중)
로그인 회원가입 고객센터 ENG
주제분류

추천
검색

논문 기본 정보

자료유형
학술저널
저자정보
Lee Hyeongjoon (Department of Orthopaedic Surgery Chosun University Hospital Gwangju Korea) Choi Sookyung (Department of Orthopaedic Surgery Chosun University School of Medicine Gwangju Korea) Jo Suenghwan (Department of Orthopaedic Surgery Chosun University Hospital Gwangju KoreaDepartment of Orthopaedic Surgery Chosun University School of Medicine Gwangju Korea)
저널정보
조선대학교 의학연구원 Medical Biological Science and Engineering Medical Biological Science and Engineering Vol.6 No.1
발행연도
2023.1
수록면
26 - 31 (6page)
DOI
10.30579/mbse.2023.6.1.26

이용수

표지
📌
연구주제
📖
연구배경
🔬
연구방법
🏆
연구결과
AI에게 요청하기
추천
검색

초록· 키워드

오류제보하기
Bacterial biofilms in the body commonly occur following the implantation of a biomedical device. A mature biofilm results in an extracellular matrix covering the aggregated bacteria and provides protection against antibiotics or the native immune system, rendering diagnosis and treatment difficult. Experiments to eradicate or prevent biofilm formation have been widely performed, with many showing potential for application in vivo. To test the safety and in vivo efficacy of these novel methods, a reliable preclinical animal model is necessary. Here we developed a simple animal model that can be used to recreate medical device-associated infections in vivo. Reproducible Staphylococcus aureus bacterial biofilms were formed on a titanium implant and confirmed by the counting of colony-forming units after sonication and in vivo bioluminescence measurements. We tested our strategy for developing both acute and late-onset infections and confirmed that the model successfully demonstrated bacterial biofilm formation on titanium sur faces, representing acute infection. We believe that this model will be a good option for validat ing the efficacy and safety of antibacterial strategies for orthopedic surgery

목차

등록된 정보가 없습니다.

참고문헌 (0)

참고문헌 신청

함께 읽어보면 좋을 논문

논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!

이 논문의 저자 정보

최근 본 자료

전체보기

댓글(0)

0