Repurposing lipid-lowering drugs as potential treatment for acne vulgaris: a Mendelian randomization study

痤疮 医学 孟德尔随机化 内科学 皮肤病科 生物 基因型 遗传学 基因 遗传变异
作者
Man Fang,Jing Lei,Yue Zhang,Bo Zhang
出处
期刊:Frontiers in Medicine [Frontiers Media SA]
卷期号:11
标识
DOI:10.3389/fmed.2024.1385948
摘要

Background Acne vulgaris, a chronic inflammatory skin condition predominantly seen in teenagers, impacts more than 640 million people worldwide. The potential use of lipid-lowering medications as a treatment for acne vulgaris remains underexplored. This study seeks to investigate the impact of lipid-lowering therapies on the risk of developing acne vulgaris using two-sample Mendelian randomization (MR) analysis. Method The two-sample MR method was employed for analysis, and information on lipid-lowering drugs was obtained from the DrugBank and ChEMBL databases. The summary data for blood low-density lipoprotein (LDL) and triglycerides were sourced from the Global Lipids Genetics Consortium, while genome-wide association studies (GWAS) summary data for acne vulgaris were obtained from the FinnGen database. Heterogeneity was examined using the Q-test, horizontal pleiotropy was assessed using MR-Presso, and the robustness of analysis results was evaluated using leave-one-out analysis. Results The MR analysis provided robust evidence for an association between lowering LDL cholesterol through two drug targets and acne vulgaris, with PCSK9 showing an odds ratio (OR) of 1.782 (95%CI: 1.129–2.812, p = 0.013) and LDL receptor (LDLR) with an OR of 1.581 (95%CI: 1.071–2.334, p = 0.021). Similarly, targeting the lowering of triglycerides through lipoprotein lipase (LPL) was significantly associated with an increased risk of acne vulgaris, indicated by an OR of 1.607 (95%CI: 1.124–2.299, p = 0.009). Conclusion The current MR study presented suggestive evidence of a positive association between drugs targeting three genes (PCSK9, LDLR, and LPL) to lower lipids and a reduced risk of acne vulgaris.
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
kdkfjaljk关注了科研通微信公众号
1秒前
Jackson发布了新的文献求助10
1秒前
1秒前
phz发布了新的文献求助10
1秒前
贺兰鸵鸟完成签到,获得积分10
1秒前
马保国123发布了新的文献求助10
2秒前
2秒前
直率尔芙完成签到,获得积分10
2秒前
shenyanlei完成签到,获得积分20
2秒前
尔云发布了新的文献求助20
2秒前
wwuu完成签到,获得积分10
2秒前
2秒前
xiaoxiaomi应助阳光下的星星采纳,获得20
3秒前
爱X7的嘛喽完成签到,获得积分10
3秒前
Louise完成签到,获得积分10
3秒前
3秒前
喜悦中道应助白白采纳,获得10
4秒前
CipherSage应助dong采纳,获得10
5秒前
5秒前
5秒前
zz完成签到 ,获得积分10
5秒前
5秒前
223344完成签到,获得积分10
6秒前
欧阳半仙完成签到,获得积分10
6秒前
7秒前
bkagyin应助xm采纳,获得10
7秒前
赘婿应助gwh68964402gwh采纳,获得10
7秒前
我瞎蒙完成签到,获得积分10
8秒前
yzz发布了新的文献求助10
8秒前
赖道之发布了新的文献求助10
9秒前
熊猫完成签到,获得积分10
9秒前
Yvonne发布了新的文献求助10
10秒前
NANA发布了新的文献求助10
10秒前
yoyocici1505完成签到,获得积分10
10秒前
ding应助平常的擎宇采纳,获得30
11秒前
於松应助Chang采纳,获得20
11秒前
刻苦问柳完成签到,获得积分10
11秒前
呆萌小鸭子完成签到 ,获得积分10
11秒前
白白完成签到,获得积分10
11秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Social media impact on athlete mental health: #RealityCheck 1020
Ensartinib (Ensacove) for Non-Small Cell Lung Cancer 1000
Unseen Mendieta: The Unpublished Works of Ana Mendieta 1000
Bacterial collagenases and their clinical applications 800
El viaje de una vida: Memorias de María Lecea 800
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3527723
求助须知:如何正确求助?哪些是违规求助? 3107826
关于积分的说明 9286663
捐赠科研通 2805577
什么是DOI,文献DOI怎么找? 1539998
邀请新用户注册赠送积分活动 716878
科研通“疑难数据库(出版商)”最低求助积分说明 709762