Depression and risk of infectious diseases: A mendelian randomization study

孟德尔随机化 孟德尔遗传 医学 萧条(经济学) 精神科 心理学 生物 遗传学 基因 宏观经济学 遗传变异 基因型 经济
作者
Luchen Shi,Junsong Ren,Ke Jin,Jun Li
出处
期刊:Translational Psychiatry [Springer Nature]
卷期号:14 (1)
标识
DOI:10.1038/s41398-024-02950-8
摘要

Previous observational inquiries have revealed a correlation between depression and infectious maladies. This study seeks to elucidate the causal linkages between depression, specifically Major Depressive Disorder (MDD), and infectious diseases. Nevertheless, the causative nature of the association between MDD and infectious diseases remains elusive. Two-sample Mendelian Randomization (MR) analyses was executed utilizing single nucleotide polymorphisms (SNPs) significantly connected with MDD and infectious diseases as instrumental variables (IVs). A series of sensitivity analyses were subsequently conducted. Genetic variants linked to MDD were employed as instrumental variables sourced from a genome-wide meta-analyses comprising 500,199 individuals. Summary-level data on five infectious diseases, including candidiasis, pneumonia, skin and soft tissue infections (SSTI), upper respiratory tract infections (URTI), and urinary tract infections (UTI), were acquired from the UK Biobank and FinnGen study. Our findings evinced that genetically predicted MDD exhibited a heightened risk of candidiasis (OR = 1.52, 95% CI 1.06-2.17; P = 2.38E-02), pneumonia (OR = 1.14, 95% CI 1.01-1.29; P = 3.16E-02), URTI (OR = 1.23, 95% CI 1.12-1.36; P = 3.71E-05), and UTI (OR = 1.26, 95% CI 1.12-1.42; P = 8.90E-05). Additionally, we identified bidirectional causal relationships between UTI and MDD. The associations between MDD and the risk of URTI and UTI remained consistent in multivariable MR analyses, accounting for genetically predicted smoking and body mass index. In conclusion, this investigation ascertained a causal connection between MDD and the susceptibility to infectious diseases, particularly URTI and UTI.
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
大幅提高文件上传限制,最高150M (2024-4-1)

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
好困应助小远儿采纳,获得20
1秒前
独特星月完成签到,获得积分10
1秒前
丰富赛凤发布了新的文献求助10
2秒前
林妍完成签到 ,获得积分10
3秒前
4秒前
害羞的芝麻完成签到,获得积分10
4秒前
4秒前
ding应助兴奋白枫采纳,获得30
5秒前
5秒前
wuhoo完成签到,获得积分10
5秒前
@小小搬砖瑞完成签到,获得积分10
6秒前
6秒前
smallant完成签到,获得积分10
7秒前
Orange应助853225598采纳,获得10
7秒前
周琦完成签到,获得积分10
7秒前
7秒前
8秒前
9秒前
晓雨完成签到,获得积分20
9秒前
活力初晴发布了新的文献求助10
9秒前
小白发布了新的文献求助10
9秒前
汉堡包应助满意采纳,获得10
9秒前
椋梦完成签到,获得积分10
9秒前
欧阳彬欣发布了新的文献求助30
10秒前
Hello应助en采纳,获得30
10秒前
10秒前
感动羊青完成签到,获得积分20
11秒前
11秒前
夏来发布了新的文献求助10
11秒前
烂漫夜梅发布了新的文献求助10
11秒前
李健的小迷弟应助好纠结采纳,获得10
11秒前
poshink发布了新的文献求助10
12秒前
心海发布了新的文献求助10
12秒前
single发布了新的文献求助10
14秒前
薰硝壤应助科研小白采纳,获得20
15秒前
15秒前
zz完成签到,获得积分20
16秒前
黄伊若完成签到 ,获得积分10
16秒前
17秒前
18秒前
高分求助中
Evolution 10000
Sustainability in Tides Chemistry 2800
The Young builders of New china : the visit of the delegation of the WFDY to the Chinese People's Republic 1000
юрские динозавры восточного забайкалья 800
A new approach of magnetic circular dichroism to the electronic state analysis of intact photosynthetic pigments 500
Diagnostic immunohistochemistry : theranostic and genomic applications 6th Edition 500
Chen Hansheng: China’s Last Romantic Revolutionary 500
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 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3148940
求助须知:如何正确求助?哪些是违规求助? 2800005
关于积分的说明 7837927
捐赠科研通 2457512
什么是DOI,文献DOI怎么找? 1307891
科研通“疑难数据库(出版商)”最低求助积分说明 628322
版权声明 601685