Cerebrospinal fluid irisin and lipoxin A4 are reduced in elderly Brazilian individuals with depression: Insight into shared mechanisms between depression and dementia

痴呆 萧条(经济学) 神经炎症 疾病 神经营养因子 内科学 医学 心理学 脑源性神经营养因子 血管性痴呆 精神科 内分泌学 受体 宏观经济学 经济
作者
Rafaella A. Gonçalves,Felipe Kenji Sudo,Mychael V. Lourenco,Cláudia Drummond,Naima Assunção,Bart Vanderborght,Danielle Dias Pinto Ferreira,Felipe C. Ribeiro,Fabrício A. Pamplona,Fernanda Tovar‐Moll,Paulo Mattos,Sérgio T. Ferreira,Fernanda G. De Felice
出处
期刊:Alzheimers & Dementia [Wiley]
卷期号:19 (6): 2595-2604 被引量:17
标识
DOI:10.1002/alz.12893
摘要

Abstract Introduction Depression is frequent among older adults and is a risk factor for dementia. Identifying molecular links between depression and dementia is necessary to shed light on shared disease mechanisms. Reduced brain‐derived neurotrophic factor (BDNF) and neuroinflammation are implicated in the pathophysiology of depression and dementia. The exercise‐induced hormone, irisin, increases BDNF and improves cognition in animal models of Alzheimer's disease. Lipoxin A4 is a lipid mediator with anti‐inflammatory activity. However, the roles of irisin and lipoxin A4 in depression remain to be determined. Methods In the present study, blood and CSF were collected from 61 elderly subjects, including individuals with and without cognitive impairment. Screening for symptoms of depression was performed using the 15‐item Geriatric Depression Scale (GDS‐15). Results CSF irisin and lipoxin A4 were positively correlated and reduced, along with a trend of BDNF reduction, in elderly individuals with depression, similar to previous observations in patients with dementia. Discussion Our findings provide novel insight into shared molecular signatures connecting depression and dementia.
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
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
1秒前
2秒前
2秒前
yanmu2010完成签到,获得积分10
3秒前
4秒前
6秒前
Qin完成签到,获得积分10
7秒前
科研通AI6应助金www采纳,获得20
7秒前
home完成签到,获得积分10
8秒前
Jiny发布了新的文献求助10
8秒前
平常的如曼完成签到,获得积分10
8秒前
CodeCraft应助个性的振家采纳,获得10
9秒前
10秒前
13秒前
浮游应助左友铭采纳,获得10
14秒前
CodeCraft应助左友铭采纳,获得10
14秒前
15秒前
soul完成签到,获得积分10
16秒前
16秒前
_Forelsket_完成签到,获得积分10
16秒前
我是微风完成签到,获得积分10
17秒前
17秒前
@斤斤计较发布了新的文献求助10
18秒前
18秒前
华仔应助小碗面采纳,获得10
19秒前
浮游应助阳光的小笼包采纳,获得10
22秒前
陈吉止发布了新的文献求助10
23秒前
leng完成签到 ,获得积分10
23秒前
24秒前
爆米花应助小周想学习采纳,获得30
25秒前
科研人完成签到,获得积分10
29秒前
31秒前
31秒前
31秒前
土多多完成签到,获得积分10
31秒前
32秒前
Youngman发布了新的文献求助10
32秒前
32秒前
34秒前
aaaa发布了新的文献求助10
34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
Zeolites: From Fundamentals to Emerging Applications 1500
Encyclopedia of Materials: Plastics and Polymers 1000
Architectural Corrosion and Critical Infrastructure 1000
Early Devonian echinoderms from Victoria (Rhombifera, Blastoidea and Ophiocistioidea) 1000
Hidden Generalizations Phonological Opacity in Optimality Theory 1000
Handbook of Social and Emotional Learning, Second Edition 900
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 内科学 生物化学 物理 计算机科学 纳米技术 遗传学 基因 复合材料 化学工程 物理化学 病理 催化作用 免疫学 量子力学
热门帖子
关注 科研通微信公众号,转发送积分 4920220
求助须知:如何正确求助?哪些是违规求助? 4191842
关于积分的说明 13019518
捐赠科研通 3962508
什么是DOI,文献DOI怎么找? 2172074
邀请新用户注册赠送积分活动 1190018
关于科研通互助平台的介绍 1098801