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
질문

논문 기본 정보

자료유형
학술저널
저자정보
Eunbyul Cho (Korea Institute of Oriental Medicine) Mi-Kyung Jeong (Korea Institute of Oriental Medicine)
저널정보
한국콘텐츠학회(IJOC) International JOURNAL OF CONTENTS International JOURNAL OF CONTENTS Vol.20 No.1
발행연도
2024.3
수록면
28 - 34 (7page)
DOI
10.5392/IJoC.2024.20.1.028

이용수

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

초록· 키워드

오류제보하기
Gut microbiota, regarded as the second genome of the human body, has become a key modulator of cancer treatment. It is an emerging topic in precision medicine, and many studies have reported that the variability in most diseases and individuals is related to gut microbiota characteristics. Numerous clinical studies on cancer treatment have demonstrated a correlation between therapeutic responses to immunotherapeutic cancer drugs and gut immunity or the microbiome. In this paper, we present the current clinical research on herbal medicines and gut microbiota and explore the possibility of integrative cancer treatment with herbal medicines and immunotherapeutic cancer drugs. We identified six clinical trials enrolled in the Clinical Research Information Service and five clinical studies on gut microbiota and herbal medicines in MEDLINE via PubMed. Generally, clinical studies have used 16S rRNA sequencing to analyze the gut microbiota. Study findings have suggested that the gut microbiota can be used as a biomarker to predict the pharmacological effects of herbal medicines. Gut microbiota modifications by herbal medicines may inhibit tumor progression. Herbal medicines are metabolized to active substances through interactions with the microbiome and control the dysbiosis of the gut microbiome. Further research on the possibility of individualized precision medicine by analyzing the gut microbiota after administering herbal medicine is needed.

목차

Abstract
1. Introduction
2. Materials and Methods
3. Results
4. Discussion
5. Conclusions
References

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

UCI(KEPA) : I410-151-24-02-090398382