Moss Samuel T, Minelli Cosetta, Leavy Olivia C, Allen Richard J, Oliver Nick, Wain Louise V, Jenkins Gisli, Stewart Iain
National Heart and Lung Institute, Imperial College London, London, UK
Department of Population Health Sciences, University of Leicester, Leicester, UK.
Thorax. 2025 Feb 17;80(3):133-139. doi: 10.1136/thorax-2024-221472.
Idiopathic pulmonary fibrosis (IPF) is a disease of progressive lung scarring. There is a known association between diabetes mellitus (DM) and IPF, but it is unclear whether a causal relationship exists between these traits.
The objectives of this study are to examine causal relationships among DM, diabetes-associated traits and IPF using a Mendelian randomisation approach.
Two-sample MR approaches, including bidirectional inverse-variance weighted random effects and routine sensitivity models, used genetic variants identified from genome-wide association studies for type 1 diabetes (T1D), type 2 diabetes (T2D), glycated haemoglobin level (HbA1c), fasting insulin level and body mass index (BMI) to assess for causal effects of these traits on IPF. Further analyses using pleiotropy-robust and multivariable MR (MVMR) methods were additionally performed to account for trait complexity.
Results did not suggest that either T1D (OR=1.00, 95% CI 0.93 to 1.07, p=0.90) or T2D (1.02, 0.93 to 1.11, p=0.69) are in the causal pathway of IPF. No effects were suggested of HbA1c (1.19, 0.63 to 2.22, p=0.59) or fasting insulin level (0.60, 0.31 to 1.15, p=0.12) on IPF, but potential effects of BMI on IPF were indicated (1.44, 1.12 to 1.85, p=4.00×10). Results were consistent in MVMR, although no independent effects of T2D (0.91, 0.68 to 1.21, p=0.51) or BMI (1.01, 0.94 to 1.09, p=0.82) on IPF were observed when modelled together.
This study suggests that DM and IPF are unlikely to be causally linked. This comorbid relationship may instead be driven by shared risk factors or treatment effects.
特发性肺纤维化(IPF)是一种进行性肺瘢痕形成疾病。糖尿病(DM)与IPF之间存在已知关联,但尚不清楚这些特征之间是否存在因果关系。
本研究的目的是使用孟德尔随机化方法研究DM、糖尿病相关特征与IPF之间的因果关系。
采用双样本MR方法,包括双向逆方差加权随机效应模型和常规敏感性模型,使用从全基因组关联研究中确定的1型糖尿病(T1D)、2型糖尿病(T2D)、糖化血红蛋白水平(HbA1c)、空腹胰岛素水平和体重指数(BMI)的基因变异,评估这些特征对IPF的因果效应。另外,使用多效性稳健和多变量MR(MVMR)方法进行进一步分析,以解释特征复杂性。
结果未表明T1D(比值比=1.00,95%置信区间0.93至1.07,p=0.90)或T2D(1.·02,0.93至1.11,p=0.69)处于IPF的因果路径中。未提示HbA1c(1.19,0.63至2.22,p=0.59)或空腹胰岛素水平(0.60,0.31至1.15,p=0.12)对IPF有影响,但提示BMI对IPF有潜在影响(1.44,1.12至1.85,p=4.00×10)。MVMR的结果一致,尽管在联合建模时未观察到T2D(0.91,0.68至1.21,p=0.51)或BMI(1.01,0.94至1.09,p=0.82)对IPF有独立影响。
本研究表明DM与IPF不太可能存在因果联系。这种共病关系可能是由共同的风险因素或治疗效果驱动的。