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1.陆军军医大学(第三军医大学)第二附属医院心血管内科,重庆
2.中国人民解放军西部战区总医院心血管外科,四川 成都
晋军,E-mail: xqyyjinjun@163.com
收稿:2025-12-31,
修回:2026-01-27,
纸质出版:2026-03-30
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侯力文,王颖,高智春,等.基于孟德尔随机化的总睾酮、生物可利用睾酮与主动脉瘤的因果关系研究[J].陆军军医大学学报,2026,48(06):783-792.DOI:10.16016/j.2097-0927.202512163.
HOU L W,WANG Y,GAO Z C,et al.Causal relationships of total testosterone and bioavailable testosterone with aortic aneurysm: A Mendelian randomization study[J].J Army Med Univ,2026,48(06):783-792.DOI:10.16016/j.2097-0927.202512163.
侯力文,王颖,高智春,等.基于孟德尔随机化的总睾酮、生物可利用睾酮与主动脉瘤的因果关系研究[J].陆军军医大学学报,2026,48(06):783-792.DOI:10.16016/j.2097-0927.202512163. DOI:
HOU L W,WANG Y,GAO Z C,et al.Causal relationships of total testosterone and bioavailable testosterone with aortic aneurysm: A Mendelian randomization study[J].J Army Med Univ,2026,48(06):783-792.DOI:10.16016/j.2097-0927.202512163. DOI:
目的
2
本研究旨在通过孟德尔随机化(mendelian randomization,MR)探索血浆总睾酮(total testosterone,TT)、生物可利用睾酮(bioavailable testosterone,Bio-T)水平与主动脉瘤(aortic aneurysm,AA)发病之间的因果关系。
方法
2
从IEU Open GWAS公开基因组数据库中,筛选与TT、Bio-T密切相关(
P
<
5×10
-10
)且低偏倚度的单核苷酸多态性(single nucleotide polymorphism, SNP)作为工具变量,以AA为结局,采用逆方差加权法(inverse variance weighted,IVW)为主要分析方法,结合MR-Egger回归、加权中位数法(weighted median estimation, WME)、简单模式和加权模式分析法。通过Cochran’s
Q
检验、MR-Egger截距检验、MR-PRESSO检验、留一法及漏
斗图法进行敏感性分析,统计显著性设定为
P
<
0.05。
结果
2
两样本MR分析显示,TT和Bio-T水平与AA发病风险均存在因果关系,MR-Egger回归和WME结果的方向也一致。TT与AA的因果关联中存在异质性(
Q
=132.081,
P
=0.024),进行MR-PRESSO检验未发现异常SNP,故采用随机效应模型(IVW:
OR
=0.856,95%
CI
:0.744~0.985,
P
=0.030)作为主要结果。Bio-T(IVW:
OR
=0.551,95%
CI
:0.304~0.998,
P
=0.049)水平与AA发病的因果关联效应较TT(
OR
=0.856)更强,通过递进式SNP阈值筛选(严格至
P
<
5×10
-33
)和敏感性分析都验证了Bio-T与AA因果关系的稳健性。
结论
2
血浆TT和Bio-T水平均与AA发生存在因果关联,Bio-T的因果效应更强,结果更稳健,维持健康足量的血浆睾酮水平,尤其是Bio-T水平可显著降低AA的发病风险,该发现为AA的防治策略提供了新的靶点和思路。
Objective
2
To explore the causal relationships between plasma total testosterone (TT)
bioavailable testosterone (Bio-T) levels and the pathogenesis of aortic aneurysm (AA) using Mendelian randomization (MR).
Methods
2
Single nucleotide polymorphisms (SNPs) strongly associated with TT and Bio-T (
P
<
5×10
-10
) and with low bias were selected from the IEU Open GWAS public genome database as instrumental variables
with AA as the outcome. The inverse variance weighted (IVW) method served as the primary analytical approach
complemented by MR-Egger regression
weighted median estimation (WME)
simple mode
and weighted mode analyses. Sensitivity analyses were conducted using Cochran’s Q test
MR-Egger intercept test
MR-PRESSO test
leave-one-out analysis
and funnel plot inspection
with statistical significance set at
P
<
0.05.
Results
2
Two-sample MR analyses revealed causal associations between both TT and Bio-T levels and AA risk
with consistent directional results from MR-Egger regression and WME. MR analysis indicated heterogeneity for the causal association between TT and AA (Cochran’s
Q
=132.081
P
=0.024); MR-PRESSO identified no outlier SNPs
prompting adoption of the random-effects model as the primary result (IVW:
OR
=0.856
95%
CI
: 0.744 to 0.985
P
=0.030). The causal effect of Bio-T (IVW:
OR
=0.551
95%
CI
: 0.304 to 0.998
P
=0.049) on AA incidence was stronger than that of TT (
OR
=0.856). Progressive stringent SNP selection thresholds (down to
P
<
5×10
-33
) and a suite of sensitivity analyses confirmed the robustness of the causal association between Bio-T and AA.
Conclusion
2
Both plasma TT and Bio-T levels are causally associated with AA occurrence
with Bio-T conferring a stronger and more robust causal effect. Maintaining healthy
adequate plasma testosterone levels
particularly Bio-T levels
markedly reduce AA risk
offering novel targets and insights for AA prevention and treatment strategies.
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