Advances in the mechanisms of polysaccharides in alleviating depression and its complications

抗抑郁药 萧条(经济学) 多糖 菌群(微生物学) 抑郁症动物模型 医学 生物信息学 精神科 焦虑 生物 生物化学 经济 遗传学 宏观经济学 细菌
作者
Yuxi Guo,Xuefeng Chen,Pin Gong,Zixuan Li,Yanping Wu,Jie Zhang,Jiating Wang,Wenbo Yao,Wenjuan Yang,Fuxin Chen
出处
期刊:Phytomedicine [Elsevier BV]
卷期号:109: 154566-154566 被引量:46
标识
DOI:10.1016/j.phymed.2022.154566
摘要

Depression is one of the most serious mental illnesses worldwide that endangers the health of people. The pathogenesis of depression is complex and is associated with abnormal neurotransmitter levels, activation of the hypothalamic-pituitary-adrenal (HPA) axis, inflammation, and gut flora-related disorders. However, most of the current pharmacological therapies used to manage depression are inconsistent and are associated with side effects. Owing to their low toxicity and wide availability in nature, polysaccharides are gradually attracting attention and are being discovered to exert direct or indirect antidepressant effects.In this review, we have summarized the classification, dosage, and experimental models to study polysaccharides with antidepressant effects obtained from different sources. We have also reviewed the protective effects and underlying mechanisms of these polysaccharides in depression by modulating inflammation, the HPA axis, and intestinal flora.We searched the PubMed, Web of Science, and Google scholar databases and included studies that reported the use of polysaccharides in treating depression.The unique benefits of natural polysaccharides as antidepressants lie in their potential to modulate inflammation, regulate the HPA axis, and regulate intestinal flora, giving full play to their antidepressant effects via multiple pathways and targets.Natural polysaccharides may be a promising resource for use as adjuvant antidepressant therapy. Our study might therefore provide evidence for the development of polysaccharide resources as antidepressants.
最长约 10秒,即可获得该文献文件

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
华仔应助XIN采纳,获得10
刚刚
顾矜应助贪玩的帽子采纳,获得10
1秒前
1秒前
pan完成签到,获得积分10
1秒前
快乐的猪发布了新的文献求助10
1秒前
郭小小发布了新的文献求助10
2秒前
kingmantj发布了新的文献求助10
2秒前
任浩发布了新的文献求助10
2秒前
Zhong完成签到,获得积分10
3秒前
3秒前
隐形曼青应助aabbfz采纳,获得10
3秒前
隐形曼青应助Jase采纳,获得10
4秒前
5秒前
arniu2008发布了新的文献求助10
6秒前
8秒前
机智黑米发布了新的文献求助10
8秒前
彭于晏应助下山学儿采纳,获得10
8秒前
8秒前
徐翩跹完成签到,获得积分10
8秒前
8秒前
Jasper应助任浩采纳,获得10
9秒前
懵懂的觅夏完成签到,获得积分10
9秒前
花卷儿完成签到,获得积分10
10秒前
英俊的铭应助快乐的猪采纳,获得10
11秒前
11秒前
cdercder应助mashibeo采纳,获得10
12秒前
聪明凌柏完成签到,获得积分10
12秒前
13秒前
sunshine发布了新的文献求助10
13秒前
13秒前
SciGPT应助sg123_采纳,获得10
13秒前
orixero应助qian采纳,获得10
13秒前
14秒前
aabbfz发布了新的文献求助10
14秒前
14秒前
高高瘦瘦的玉米杆完成签到,获得积分10
14秒前
Y123456完成签到,获得积分10
14秒前
步步高完成签到,获得积分10
14秒前
Jasper应助漂亮忆南采纳,获得10
15秒前
bkagyin应助cyxismintgreen采纳,获得10
15秒前
高分求助中
Adhesion Science: Principles & Practice 1234
Signals, Systems, and Signal Processing 610
Petrology and Plate Tectonics,2025 400
Burger's Medicinal Chemistry and Drug Discovery 400
New directions for experimental lessons in science teaching: Myth, Mystery, Necessity? by Emily K. da Silva Cunha Souto (Author), Flávia Lins Silva (Author) 333
Scientific experimentation in the classroom: Comparison between genetic-Socratic-exemplary teaching and workshop teaching by Ingrid Hofer (Author) 333
Programming for Chemical Engineers Using C, C++, and MATLAB 320
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6719916
求助须知:如何正确求助?哪些是违规求助? 8456766
关于积分的说明 18054233
捐赠科研通 5971202
什么是DOI,文献DOI怎么找? 2995860
邀请新用户注册赠送积分活动 1971867
关于科研通互助平台的介绍 1925158