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
Reinhart Speeckaert (Ghent University Hospital) Arno Belpaire (Ghent University Hospital) Jo Lambert (Ghent University Hospital) Marijn Speeckaert (Ghent University Hospital) Nanja van Geel (Ghent University Hospital)
저널정보
대한면역학회 Immune Network Immune Network Vol.24 No.5
발행연도
2024.10
수록면
1 - 21 (21page)

이용수

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

초록· 키워드

오류제보하기
In recent years, there have been significant breakthroughs in the identification of immunological components of skin diseases and in the development of immunomodulatory drugs. Novel therapies create exciting prospects for personalized care. This article provides an overview of the role played by Th1, Th2, Th17, and follicular Th pathways in the most common skin diseases. Additionally, it elucidates the impact of current and upcoming treatments on each of these signaling cascades. Skin diseases predominantly influenced by a single dominant Th pathway such as psoriasis and atopic dermatitis are well-suited for biologics. However, in many other disorders a complex interplay between different immune pathways exists. This can lead to inconsistent efficacy of biologics based on individual patient profiles. In case of activation of several Th pathways, it may be more suitable to consider conventional therapies or JAK inhibitors. Increasing immunological insights have transitioned from laboratory research to practical applications, a trend that is expected to continue growing in the future.

목차

ABSTRACT
INTRODUCTION
Th1 PATHWAY
Th2 PATHWAY
Th17 PATHWAY
CYTOKINES AT THE CROSSROADS BETWEEN THE Th17 AND Th2 PATHWAY
FOLLICULAR Th CELLS (Tfh)
SKIN DISEASES ACCORDING TO Th1/Th2/Th17/Tfh SIGNALING
CONVENTIONAL IMMUNOSUPPRESSANTS/IMMUNOMODULATORS
BIOLOGICS
ARYL HYDROCARBON RECEPTOR (AHR) AGONISTS
PROSTANOIDS
SMALL MOLECULES
UPCOMING THERAPEUTIC DEVELOPMENTS
DISCUSSION
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) : I410-151-25-02-091068422