Investigating Potential Causal Relationships Between Plasma Protein Ratios and Alopecia Areata: A Bidirectional Mendelian Randomization Study

作者
Xiaoqi Tan,Zhen Yin,Shiyu Zhu,Liehua Deng
出处
期刊:British journal of hospital medicine [MA Healthcare]
卷期号:86 (9): 1-15
标识
DOI:10.12968/hmed.2025.0405
摘要

Aims/Background Several types of plasma protein ratios (PPRs) have been shown to have significant associations with alopecia areata (AA); however, their causal relationships remain to be elucidated. This study aimed to identify causal relationships of 2821 PPRs with AA. Methods Data from the United Kingdom Biobank Pharma Proteomics Project (n > 54,000) and FinnGen R11 data (862 cases/432,686 controls) were used for a bidirectional Mendelian randomization (MR) analysis. Inverse-variance weighting (IVW), weighted median, simple mode, weighted mode and MR-Egger regression tests were used to estimate the causality between PPRs and AA. Sensitivity analyses were performed to ensure the robustness of our findings. Results Our analysis showed that the agrin (AGRN)/heparan sulfate proteoglycan 2 (HSPG2) and 2,4-dienoyl-CoA reductase 1 (DECR1)/FK506-binding protein 1B (FKBP1B) ratios were significantly elevated in AA patients (p < 0.05). The IVW method revealed that for every one standard deviation (SD) increase in the AGRN/HSPG2 ratio, the risk of AA increased by 44.8% (odds ratio [OR] = 1.448, 95% confidence interval [CI]: 1.200–1.745, p < 0.001). Similarly, for every one SD increase in the DECR1/FKBP1B ratio, the risk of AA increased by 65.8% (OR = 1.658, 95% CI: 1.273–2.159, p < 0.001). In contrast, reverse MR analysis did not detect any significant causal effects of AA on these two PPRs (p > 0.05). Sensitivity analyses confirmed the robustness of our results and ruled out horizontal pleiotropy (MR-Egger intercept p > 0.05). Conclusion This study uncovered the causal relationships between two types of PPRs and AA, offering new insights into the diagnosis, treatment, and underlying mechanisms of AA.
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
522完成签到,获得积分10
1秒前
鹿邑完成签到 ,获得积分10
1秒前
852应助阳光的百合采纳,获得10
1秒前
Wizzzzzzzy完成签到,获得积分10
1秒前
善良易形完成签到,获得积分10
1秒前
Owen应助夏昊天采纳,获得10
2秒前
小白板完成签到,获得积分10
2秒前
2秒前
2秒前
ID27149完成签到,获得积分10
2秒前
4秒前
学医自救完成签到,获得积分10
4秒前
522发布了新的文献求助10
4秒前
4秒前
asdsad发布了新的文献求助10
5秒前
Han发布了新的文献求助10
5秒前
xx完成签到,获得积分10
6秒前
JohnZhang完成签到 ,获得积分10
6秒前
7秒前
7秒前
小小挖掘工完成签到,获得积分20
7秒前
molihuakai应助既白采纳,获得10
8秒前
8秒前
二宝发布了新的文献求助10
8秒前
谦让安双发布了新的文献求助10
8秒前
研友_842M4n发布了新的文献求助10
9秒前
赵可唯完成签到,获得积分10
9秒前
yyy完成签到,获得积分10
9秒前
10秒前
爆米花应助腼腆的妖妖采纳,获得10
11秒前
11秒前
ddaikk发布了新的文献求助10
12秒前
12秒前
田様应助Cannonball采纳,获得10
12秒前
du完成签到,获得积分10
12秒前
真人发布了新的文献求助10
12秒前
学霸业完成签到,获得积分0
13秒前
13秒前
科研通AI6.4应助小天狼星采纳,获得10
13秒前
夏昊天发布了新的文献求助10
14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
An Introduction to Foreign Language Learning and Teaching 750
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
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 7622311
求助须知:如何正确求助?哪些是违规求助? 9197594
关于积分的说明 19715536
捐赠科研通 7193815
什么是DOI,文献DOI怎么找? 3272961
关于科研通互助平台的介绍 2435355
邀请新用户注册赠送积分活动 2268354