Causal relationship between circulating immune cells and the risk of Alzheimer's disease: A Mendelian randomization study

孟德尔随机化 免疫系统 CD33 全基因组关联研究 人类白细胞抗原 免疫学 医学 疾病 生物 肿瘤科 内科学 遗传学 单核苷酸多态性 基因型 基因 抗原 遗传变异 干细胞 川地34
作者
Xue Hua,Jiajia Chen,Li Zeng,Wenhui Fan
出处
期刊:Experimental Gerontology [Elsevier BV]
卷期号:187: 112371-112371 被引量:5
标识
DOI:10.1016/j.exger.2024.112371
摘要

Increasing evidence has shown a link between immune cells and Alzheimer's disease (AD). Comprehensive two-sample Mendelian randomization (MR) analysis was performed to determine the causal association between 731 immune cell signatures and AD in this study. We extracted genetic variants of 731 immune cell traits and AD from the publicly available GWAS dataset. The immune features included median fluorescence intensity (MFI), relative cellular (RC), absolute cellular (AC) and morphological parameters (MP). The inverse variance weighted (IVW) method was the main MR analysis method, and sensitivity analyses were used to validate the robustness, heterogeneity and horizontal pleiotropy of the results. After FDR adjustment, seven immune phenotypes were found to be associated significantly with AD risk: HLA DR on CD33− HLA DR+ (OR = 0.938, PFDR = 0.001), Secreting Treg %CD4 (OR = 0.972, PFDR = 0.021), HLA DR+ T cell AC (OR = 0.928, PFDR = 0.041), Activated & resting Treg % CD4 Treg (OR = 1.031, PFDR = 0.002), CD33 on CD33dim HLA DR+ CD11b+ (OR = 1.025, PFDR = 0.025), CD33 on CD14+ monocyte (OR = 1.026, PFDR = 0.027) and CD33 on CD66b++ myeloid cell (OR = 1.027, PFDR = 0.036). These findings demonstrated seven immune phenotypes were significantly associated with AD risk. This may provide researchers with a new perspective in exploring the biological mechanisms of AD and may lead to the exploration of earlier treatment.
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
1秒前
橙子应助pingzi采纳,获得30
1秒前
1秒前
1秒前
Jarami发布了新的文献求助10
2秒前
2秒前
还单身的夜云完成签到,获得积分10
3秒前
汉堡包应助戒骄戒躁采纳,获得10
3秒前
3秒前
3秒前
4秒前
所所应助科研通管家采纳,获得10
4秒前
Hello应助科研通管家采纳,获得10
4秒前
Akim应助科研通管家采纳,获得10
4秒前
4秒前
烟花应助科研通管家采纳,获得10
4秒前
大个应助科研通管家采纳,获得10
4秒前
wanci应助科研通管家采纳,获得10
4秒前
4秒前
科目三应助科研通管家采纳,获得10
5秒前
oho完成签到,获得积分10
5秒前
5秒前
小二郎应助科研通管家采纳,获得20
5秒前
5秒前
蓝天应助科研通管家采纳,获得10
5秒前
5秒前
5秒前
5秒前
5秒前
5秒前
5秒前
ding应助科研通管家采纳,获得30
5秒前
5秒前
6秒前
6秒前
6秒前
6秒前
顾矜应助科研通管家采纳,获得10
6秒前
6秒前
CipherSage应助科研通管家采纳,获得10
6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
Chemistry and Physics of Carbon Volume 18 800
The Organometallic Chemistry of the Transition Metals 800
Leading Academic-Practice Partnerships in Nursing and Healthcare: A Paradigm for Change 800
The formation of Australian attitudes towards China, 1918-1941 640
Signals, Systems, and Signal Processing 610
Research Methods for Business: A Skill Building Approach, 9th Edition 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 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 6424288
求助须知:如何正确求助?哪些是违规求助? 8242358
关于积分的说明 17522976
捐赠科研通 5478467
什么是DOI,文献DOI怎么找? 2893652
邀请新用户注册赠送积分活动 1869917
关于科研通互助平台的介绍 1707747