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
곽동민 (부산대학교) Lee Juho (Pusan National University) Kim Ji Hyun (Pusan National University) 김현우 (부산대학교) Lee Jae-Young (College of Pharmacy, Chungnam National University) 김대덕 (서울대학교) 유진욱 (부산대학교)
저널정보
한국약제학회 Journal of Pharmaceutical Investigation Journal of Pharmaceutical Investigation Vol.54 No.1
발행연도
2024.1
수록면
51 - 60 (10page)
DOI
10.1007/s40005-023-00641-y

이용수

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

초록· 키워드

오류제보하기
Purpose Although nitric oxide (NO)-releasing nanoparticles have garnered significant attention owing to their potent antibacterial effects against methicillin-resistant Staphylococcus aureus (MRSA) and direct promotion of wound healing, the majority of NO-releasing nanoparticles are composed of synthetic polymers or inorganic materials, which may lead to unfavorable effects in the body. To overcome this limitation, we developed NO-releasing albumin nanoclusters (NO/ANCs) using bovine serum albumin, a fully biocompatible endogenous material. Methods NO/ANCs were fabricated by incorporating diethylenetriamine diazeniumdiolate (DT/NO) into albumin nanoclusters via electrostatic interactions, followed by glutaraldehyde crosslinking between the albumin molecules. The antibacterial effects of the NO/ANCs were investigated using the LIVE/DEAD® BacLight™ bacterial viability kit. The enhanced wound healing and in vivo antibacterial effects were evaluated in a mouse model of MRSA-challenged full-thickness wounds. Results NO/ANCs were successfully fabricated and could release NO for more than 17 h. NO/ANCs demonstrated enhanced in vitro antibacterial effects and exhibited improved in vivo antibacterial and wound-healing effects in a mouse model of MRSA-challenged full-thickness wounds. Conclusion NO/ANCs could be a promising formulation for the treatment of MRSA-infected cutaneous wounds.

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!

최근 본 자료

전체보기

댓글(0)

0