Systematic review of brain and blood lipidomics in Alzheimer's disease mouse models

脂类学 鞘磷脂 转基因小鼠 脂质体 生物化学 鞘脂 生物 脂质代谢 多不饱和脂肪酸 转基因 化学 脂肪酸 胆固醇 基因
作者
Laura Ferré‐González,Ana Lloret,Consuelo Cháfer‐Pericás
出处
期刊:Progress in Lipid Research [Elsevier BV]
卷期号:90: 101223-101223 被引量:21
标识
DOI:10.1016/j.plipres.2023.101223
摘要

Alzheimer's disease (AD) diagnosis is based on invasive and expensive biomarkers. Regarding AD pathophysiological mechanisms, there is evidence of a link between AD and aberrant lipid homeostasis. Alterations in lipid composition have been observed in blood and brain samples, and transgenic mouse models represent a promising approach. Nevertheless, there is great variability among studies in mice for the determination of different types of lipids in targeted and untargeted methods. It could be explained by the different variables (model, age, sex, analytical technique), and experimental conditions used. The aim of this work is to review the studies on lipid alteration in brain tissue and blood samples from AD mouse models, focusing on different experimental parameters. As result, great disparity has been observed among the reviewed studies. Brain studies showed an increase in gangliosides, sphingomyelins, lysophospholipids and monounsaturated fatty acids and a decrease in sulfatides. In contrast, blood studies showed an increase in phosphoglycerides, sterols, diacylglycerols, triacylglycerols and polyunsaturated fatty acids, and a decrease in phospholipids, lysophospholipids and monounsaturated fatty acids. Thus, lipids are closely related to AD, and a consensus on lipidomics studies could be used as a diagnostic tool and providing insight into the mechanisms involved in 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
LilyChen发布了新的文献求助10
刚刚
桐桐应助止咳宝采纳,获得10
刚刚
谨慎小珍发布了新的文献求助30
刚刚
英姑应助学术笨蛋采纳,获得10
2秒前
黑色天空完成签到,获得积分10
2秒前
雪季语发布了新的文献求助10
4秒前
4秒前
无限关注了科研通微信公众号
4秒前
在水一方应助orangelion采纳,获得20
4秒前
5秒前
6秒前
猫橘汽水发布了新的文献求助10
6秒前
白夜完成签到,获得积分10
8秒前
carbon发布了新的文献求助10
8秒前
xushanqi发布了新的文献求助10
8秒前
8秒前
9秒前
9秒前
drew发布了新的文献求助10
9秒前
9秒前
9秒前
10秒前
MozzieMiao应助吉人智采纳,获得30
10秒前
10秒前
留胡子的囧完成签到,获得积分10
11秒前
11秒前
小林喜发布了新的文献求助10
11秒前
欧阳懿发布了新的文献求助10
12秒前
huhuhu完成签到,获得积分10
12秒前
12秒前
希望天下0贩的0应助拖鞋采纳,获得10
13秒前
13秒前
13秒前
今后应助drew采纳,获得10
13秒前
确幸发布了新的文献求助10
14秒前
勤奋的凌香完成签到,获得积分10
14秒前
CHEN发布了新的文献求助10
14秒前
哎健身发布了新的文献求助10
14秒前
SunGuangkai发布了新的文献求助10
14秒前
15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
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Governing Growth: Us Industrial Policy from Hamilton to Trump 500
The fast track to determining transfer functions of linear circuits: The student guide 500
The Analytical and Numerical Solution of Electric and Magnetic Fields 500
Synthesis of P-Chiral Phosphine Ligands and Their Applications in Asymmetric Catalysis 400
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 7623830
求助须知:如何正确求助?哪些是违规求助? 9198995
关于积分的说明 19721338
捐赠科研通 7195091
什么是DOI,文献DOI怎么找? 3273410
关于科研通互助平台的介绍 2435560
邀请新用户注册赠送积分活动 2269029