Qi Huaiqing, Guo Jun
Department of Pulmonary and Critical Care Medicine, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing, China.
Department of Geriatric Medicine, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing, China.
J Thorac Dis. 2024 Oct 31;16(10):6799-6805. doi: 10.21037/jtd-24-392. Epub 2024 Oct 28.
The pathogenesis of idiopathic pulmonary fibrosis (IPF) is not well understood. Given the known role of hepatitis C virus (HCV) in inducing cirrhosis, the virus has also received attention in the study of IPF. An earlier retrospective study found an increased incidence of IPF in patients with HCV, supported by evidence in the alveolar lavage fluid of the patients, whereas another set of observational studies did not find an association, which prompted us to explore a causal relationship. It is well known that HCV and hepatitis B virus (HBV) have some similarities: both are RNA viruses, and both have a strong ability to induce cirrhosis, which in turn leads to poor prognosis and increased mortality in patients with viral hepatitis. This factor also inspired us to start exploring whether there is a causal relationship between HBV and IPF. Due to the inherent limitations of previous studies, causality between chronic HBV/HCV infection and IPF is yet to be established. Mendelian randomization (MR) uses genetic variation as exposure and can be used to determine the causal effect of exposure on outcomes. Therefore, we used a two-sample MR study to determine if there is a causal relationship between viral hepatitis and IPF risk.
Single nucleotide polymorphisms (SNPs) were used as instrumental variables (IVs), with chronic HBV and HCV infections as exposure factors and IPF as the outcome variable. Three methods, inverse variance weighting (IVW), weighted median (WM), and MR-Egger regression, were employed for the bidirectional MR. Sensitivity analyses, including horizontal pleiotropy analysis, Cochran's test, and leave-one-out evaluation of result reliability, were conducted. Mendelian Randomization Pleiotropy RESidual Sum and Outlier (MR-PRESSO) and MR-Egger regression tests were used to monitor potential horizontal pleiotropic effects. Odds ratios (ORs) and 95% confidence intervals (CIs) were used to interpret the causal relationship between chronic HBV and HCV infections and IPF. Finally, reverse MR analysis was performed to validate the robustness of the results.
The results of the IVW suggested that there was no causal relationship between chronic HBV infection (OR =1.039, 95% CI: 0.935-1.154, P=0.48) and chronic HCV infection (OR =1.146, 95% CI: 0.834-1.576, P=0.40) and the risk of IPF. Sensitivity analysis showed no evidence of reverse causation, horizontal pleiotropy, and heterogeneity.
This study, using the bidirectional MR, provides preliminary evidence that chronic HBV and HCV infections are not causally related to IPF at the genetic level. However, this conclusion requires support from larger sample sizes in genome-wide association study (GWAS) databases for further MR analysis, and additional clinical studies and animal experiments are needed for validation.
特发性肺纤维化(IPF)的发病机制尚未完全明确。鉴于丙型肝炎病毒(HCV)在诱导肝硬化方面的已知作用,该病毒在IPF研究中也受到了关注。一项较早的回顾性研究发现,HCV患者中IPF的发病率增加,患者肺泡灌洗液中的证据支持了这一点,而另一组观察性研究未发现两者之间存在关联,这促使我们探究因果关系。众所周知,HCV和乙型肝炎病毒(HBV)有一些相似之处:两者都是RNA病毒,且都有很强的诱导肝硬化的能力,这反过来又导致病毒性肝炎患者预后不良和死亡率增加。这一因素也促使我们开始探究HBV与IPF之间是否存在因果关系。由于先前研究存在固有局限性,慢性HBV/HCV感染与IPF之间的因果关系尚未确立。孟德尔随机化(MR)将基因变异用作暴露因素,可用于确定暴露对结局的因果效应。因此,我们采用两样本MR研究来确定病毒性肝炎与IPF风险之间是否存在因果关系。
单核苷酸多态性(SNP)用作工具变量(IV),以慢性HBV和HCV感染为暴露因素,IPF为结局变量。采用三种方法,即逆方差加权(IVW)、加权中位数(WM)和MR-Egger回归,进行双向MR分析。进行了敏感性分析,包括水平多效性分析、 Cochr an检验以及对结果可靠性的留一法评估。使用孟德尔随机化多效性残差和异常值(MR-PRESSO)以及MR-Egger回归检验来监测潜在的水平多效性效应。比值比(OR)和95%置信区间(CI)用于解释慢性HBV和HCV感染与IPF之间的因果关系。最后,进行反向MR分析以验证结果的稳健性。
IVW结果表明,慢性HBV感染(OR = 1.039,95% CI:0.935 - 1.154,P = 0.48)和慢性HCV感染(OR = 1.146,95% CI:0.834 - 1.576,P = 0.40)与IPF风险之间不存在因果关系。敏感性分析未显示反向因果关系、水平多效性和异质性的证据。
本研究采用双向MR分析,初步证明慢性HBV和HCV感染在基因水平上与IPF无因果关系。然而,这一结论需要全基因组关联研究(GWAS)数据库中更大样本量的支持以进行进一步的MR分析,还需要额外的临床研究和动物实验来验证。