Adiponectin predicts poor response to antidepressant drugs in major depressive disorder

抗抑郁药 重性抑郁障碍 脂联素 医学 精神科 心理学 内科学 药理学 焦虑 肥胖 心情 胰岛素抵抗
作者
Francesco Benedetti,Igor Branchi,Sara Poletti,Cristina Lorenzi,Giorgia Bigai,Cristina Colombo,Raffaella Zanardi
出处
期刊:Human Psychopharmacology-clinical and Experimental [Wiley]
卷期号:36 (6) 被引量:3
标识
DOI:10.1002/hup.2793
摘要

Produced by adipocytes, adiponectin crosses the blood-brain barrier to bind with specific receptors in the hypothalamus, brainstem, hippocampus, and cortex. In patients with major depressive disorder (MDD), circulating levels of adiponectin inversely related with antidepressant response to ketamine, and predicted a better response to multi-target drug combinations than to escitalopram. We investigated the effect of adiponectin on response to antidepressants in a naturalistic setting.We assessed baseline plasma levels of adiponectin in 121 MDD inpatients, treated with antidepressant drug monotherapy based on clinical need (selective serotonin reuptake inhibitors, venlafaxine, duloxetine) in a specialized hospital setting. Severity of depression was weekly assessed with Hamilton scale ratings.Adiponectin plasma levels were higher in patients with MDD compared with healthy controls, and negatively influenced the pattern of antidepressant response (higher baseline levels, worse response) independent of the drug class and of the baseline severity of depression, and of age, sex, and body mass index.The identification of adiponectin as a predictor of antidepressant response to drugs of different mechanism of action, such as ketamine, SSRIs, and SNRIs, and both in experimental and in clinical settings, warrants interest for further study of its pathways to search for novel biomarkers and therapeutic targets.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
复杂飞丹完成签到,获得积分10
1秒前
熙悦发布了新的文献求助10
1秒前
1秒前
嵩嵩发布了新的文献求助50
2秒前
Lorenzo完成签到,获得积分10
2秒前
2秒前
2秒前
2秒前
珉苠发布了新的文献求助10
2秒前
红薯关注了科研通微信公众号
2秒前
无奈糖豆发布了新的文献求助10
3秒前
科研通AI6.4应助赵zz采纳,获得10
3秒前
3秒前
meng发布了新的文献求助10
3秒前
吧啦吧啦吧完成签到 ,获得积分20
3秒前
zxl发布了新的文献求助10
3秒前
路旁小白完成签到,获得积分10
4秒前
栗子应助平淡道天采纳,获得10
4秒前
HMM发布了新的文献求助10
4秒前
考拉发布了新的文献求助10
4秒前
4秒前
4秒前
爆米花应助阿中采纳,获得10
5秒前
BBB发布了新的文献求助10
5秒前
英姑应助一地狗粮采纳,获得10
5秒前
5秒前
5秒前
ml发布了新的文献求助10
5秒前
6秒前
6秒前
bjutbaibai完成签到,获得积分10
6秒前
顾矜应助每天都在想课题采纳,获得10
6秒前
7秒前
7秒前
7秒前
Peng发布了新的文献求助10
7秒前
7秒前
ZH发布了新的文献求助10
7秒前
科研通AI6.4应助Via采纳,获得10
8秒前
墨宝完成签到 ,获得积分10
8秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Industrial Hydraulics Manual (7th edition) 800
Physiologic races of the downy mildew fungus on soybeans in North Carolina 800
Rosenblum, Global Change Biology 800
Essentials of Carbohydrate Chemistry and Biochemistry, 4th Edition 800
Organizational Behavior 510
Management and the Arts 510
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 化学工程 工程类 有机化学 物理 复合材料 生物化学 内科学 细胞生物学 基因 遗传学 免疫学 冶金 光电子学 癌症研究
热门帖子
关注 科研通微信公众号,转发送积分 7775373
求助须知:如何正确求助?哪些是违规求助? 9317182
关于积分的说明 20355536
捐赠科研通 7361585
什么是DOI,文献DOI怎么找? 3317959
关于科研通互助平台的介绍 2466172
邀请新用户注册赠送积分活动 2333256