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
대한신경정신의학회 신경정신의학 신경정신의학 제47권 제1호
발행연도
2008.1
수록면
11 - 21 (11page)

이용수

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

초록· 키워드

오류제보하기
Depression is a chronic, recurring and potentially life-threatening illness. Depression is a syndrome notable for heterogeneity of its clinical presentation, treatment responsiveness, neurobiology, and genetics. The highly variable compilation of symptoms that is used to define depression, and the highly variable course of the illness and its response to various treatments, indicate that depression subsumes numerous disease states of distinct etiology, and perhaps distinct pathophysiology. Current understanding of the mechanisms of pharmacotherapy for depression is characterized by the emphasis on increasing synaptic availability of serotonin, noradrenaline, and possibly dopamine, while minimizing side effects. This is unfortunate, because less than half of individuals with depression show full remission in response to these mechanisms. While current pharmacotherapies target monoaminergic systems, distinct neurobiological underpinnings and other systems are likely involved in the pathogenesis of depression. Recently, several promising hypotheses of depression and antidepressant action have been formulated. These hypotheses are largely based on dsyregulation of neural plasticity, CREB, BDNF, corticotropin-releasing factor, glucocorticoid, hypothalamic-pituitary adrenal axis and cytokines. Based on these new theories and hypotheses of depression, a number of new and novel agents show a considerable promise for refining treatment options for depression. In this article, we provide an overview of the mechanisms of action of currently available antidepressant treatments. We then provide a progress report on some of the most promising current strategies. (J Korean Neuropsychiatr Assoc 2008;47(1):11-21)

목차

등록된 정보가 없습니다.

참고문헌 (26)

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