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
저널정보
한국미생물생명공학회 한국미생물·생명공학회지 한국미생물·생명공학회지 제44권 제2호
발행연도
2016.1
수록면
208 - 217 (10page)

이용수

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

초록· 키워드

오류제보하기
Pinus densiflora Sieb. et Zucc. (P. densiflora) contains several phenolic compounds that exhibit biological activities, such as antimicrobial, antioxidant, and antihypertensive effects. However, the anti-inflammatory effect of P. densiflora on skin has rarely been reported. Malassezia furfur (M. furfur) is a commensal microbe that induces skin inflammation and is associated with several chronic disorders, such as dandruff, seborrheic dermatitis, papillomatosis, and sepsis. The aim of our study was to identify the anti-inflammatory effects of P. densiflora needle extracts on skin health subjected to M. furfur-induced inflammation. The methanolic extract of the pine needles was partitioned into n-hexane, EtOAc, n-BuOH, and water layers. We measured the anti-inflammatory effects (in macrophages) as well as the antioxidant, antifungal, and tyrosinase inhibitory activity of each of these layers. The antioxidant activity of the individual layers was in the order EtOAc layer > n-BuOH layer > water layer. Only the n-BuOH, EtOAc, and n-hexane layers showed antifungal activity. Additionally, all the layers possessed tyrosinase inhibition activity similar to that of ascorbic acid, which is used as a commercial control. The EtOAc layer was not cytotoxic toward the RAW 264.7 cell line. Interleukin 1 beta and tumor necrosis factor (TNF)-α expression levels in M. furfurstimulated RAW 264.7 cells treated with the EtOAc layer were decreased markedly compared to those in cells treated with the other layers. Taken together, we believe that the needle extracts of P. densiflora have potential application as alternative anti-inflammatory agents or cosmetic material for skin health improvement.

목차

등록된 정보가 없습니다.

참고문헌 (40)

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