Assessing adipokines as potential biomarkers of dementia, Alzheimer's disease, and mild cognitive impairment: A systematic review and meta‐analysis

脂联素 脂肪因子 抵抗素 瘦素 痴呆 医学 内科学 疾病 生长素 背景(考古学) 荟萃分析 认知功能衰退 肥胖 内分泌学 肿瘤科 胰岛素抵抗 激素 生物 古生物学
作者
Isabel García‐García,Marina Fernández‐Andújar,Manuel Narváez,Natalia García‐Casares
出处
期刊:Obesity Reviews [Wiley]
卷期号:24 (8) 被引量:7
标识
DOI:10.1111/obr.13573
摘要

Summary Midlife obesity and late‐life weight loss confer a greater risk for developing dementia and Alzheimer's disease (AD), but the exact mechanisms behind this phenomenon are currently unknown. The answer could lie on the involvement of gastrointestinal factors, such as adipokines (e.g., leptin, adiponectin, and resistin) and ghrelin. In this context, we conducted a pre‐registered systematic review and meta‐analysis of 42 cross‐sectional and 13 longitudinal studies targeting the associations between leptin, adiponectin, resistin, and ghrelin and the prevalence of general dementia, AD, and mild cognitive impairment (MCI). We also examined the relationship between the four gastrointestinal factors and neurocognitive outcomes and AD‐related cerebrospinal fluid biomarkers. Patients with AD had lower blood leptin and higher resistin levels than cognitively normal participants. Lower leptin and higher resistin were associated with higher degree of cognitive impairment. Additionally, lower late‐life leptin levels might be associated with higher prospective risk of dementia and AD, although more studies are needed to corroborate this. Results in ghrelin and adiponectin were not conclusive, with age, sex distribution, obesity, and severity of dementia seemingly acting as moderators across several analyses. Our work might contribute to the identification of new preclinical blood markers of MCI and AD.
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
刚刚
狂野的妙海完成签到,获得积分20
刚刚
嘟嘟完成签到,获得积分10
刚刚
zzz发布了新的文献求助10
1秒前
2秒前
3秒前
3秒前
坦率山柏完成签到,获得积分10
3秒前
3秒前
4秒前
4秒前
4秒前
5秒前
5秒前
Hiyajo_Maho发布了新的文献求助10
5秒前
贝贝托发布了新的文献求助10
6秒前
DDD3发布了新的文献求助10
7秒前
Owen应助李春生采纳,获得20
7秒前
Akim应助Dotuu采纳,获得10
8秒前
8秒前
慕青应助BFQQQQ采纳,获得10
10秒前
尼古拉斯铁柱完成签到 ,获得积分10
10秒前
剁椒鱼头发布了新的文献求助10
10秒前
xiaolizi发布了新的文献求助30
10秒前
jianyangyu完成签到,获得积分10
10秒前
10秒前
guzhouala给guzhouala的求助进行了留言
10秒前
gjing完成签到,获得积分10
10秒前
科研通AI6.4应助e746700020采纳,获得10
10秒前
热干面发布了新的文献求助10
10秒前
华仔应助DDD3采纳,获得10
10秒前
12秒前
12秒前
朴实的宛白应助逆水行舟采纳,获得10
12秒前
搬砖完成签到,获得积分10
12秒前
12秒前
13秒前
White Night完成签到,获得积分10
14秒前
15秒前
tiptip应助11117777采纳,获得10
15秒前
高分求助中
Principles of Economics, 11th Edition 10000
University Physics with Modern Physics, 16th edition 10000
(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
Matrix Methods in Data Mining and Pattern Recognition 510
Reading and Understanding Health Research 500
Social Skills Improvement System-Rating Scales--Chinese Version 500
Dynamische Polarisation von H-1 und B-11 in (CH-3)-3NBH-3 500
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 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7251392
求助须知:如何正确求助?哪些是违规求助? 8873948
关于积分的说明 18730327
捐赠科研通 6931189
什么是DOI,文献DOI怎么找? 3199412
关于科研通互助平台的介绍 2374325
邀请新用户注册赠送积分活动 2174035