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
Kim, Yoo-Kyung (Laboratory of Pharmacology) Kang, Hyo-Joo (Laboratory of Pharmacology) Lee, Kyung-Tae (Biochemistry, School of Pharmacy, Kyung Hee University) Choi, Jin-Gyu (Korea Herbal Science Institute) Chung, Sung-Hyun (Laboratory of Pharmacology)
저널정보
대한약학회 Archives of pharmacal research : a publication of the Pharmaceutical Society of Korea Archives of pharmacal research : a publication of the Pharmaceutical Society of Korea 제26권 제12호
발행연도
2003.1
수록면
1,061 - 1,066 (6page)

이용수

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

초록· 키워드

오류제보하기
The fruit of Actinidia polygama (AP) has long been used as a folk medicine in Korea for treating pain, rheumatic arthritis and inflammation. The present investigation was carried out to determine the in vivo and in vitro anti-inflammatory activity of AP using several animal models of inflammation. The 70% ethanol extract of the fruit of AP significantly inhibited acetic acidinduced, vascular permeability in a dose dependent manner (23%, 38%, and 41 % inhibition at doses of 200 mg/kg, 500 mg/kg and 1000 mg/kg, respectively). This effect was maintained in AP water-soluble fraction (APW). The APW fraction also showed significant inhibitory activity against the rat paw edema induced by a single treatment of carrageenan. In vitro experiments were performed to demonstrate the inhibitory activities of APW (100 $\mu$ g/ml) on lipopolysaccharide (LPS)-induced nitric oxide (NO) and prostaglandin $E_2$ ($PGE_2$) production. The results showed that APW dose-dependently suppressed LPS-induced NO production in RAW 264.7 macrophages without a notable cytotoxic effect and also decreased inducible NO synthase (iNOS) protein expression. APW also showed a significant inhibitory effect in LPS-induced $PGE_2$ production and cyclooxygenase-2 (COX-2) expression.

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