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Updated: Aug 5, 2026
Isolation and Quantification of Epstein-Barr Virus from the P3HR1 Cell Line
Published on: September 28, 2022
Epstein-Barr virus-related antibody traits and idiopathic pulmonary fibrosis: a bidirectional Mendelian randomization
Wentao Wu1, Huiying Zhang1, Zhe Peng1
1Henan Provincial Chest Hospital, Zhengzhou, Henan, China.
Introduction:
Previous studies have suggested an association between herpesvirus infections and idiopathic pulmonary fibrosis (IPF), but the causal relationship remains largely unclear. We used bidirectional Mendelian randomization (MR) to investigate the associations between genetically predicted antibody responses to herpesviruses and IPF risk.
Material And Methods:
The data for different antibodies against herpes simplex virus (HSV), cytomegalovirus (CMV), and Epstein-Barr virus (EBV) were obtained from the IEU GWAS database (https://gwas.mrcieu.ac.uk/datasets/), and the data for IPF were obtained from the FinnGen GWAS database (https://r7.finngen.fi/). We selected eligible single nucleotide polymorphisms (SNPs) from summary-level data of GWAS as instrumental variables. The generalized summary data-based MR (GSMR) method was used as the main analysis method, complemented by inverse-variance weighted (IVW), MR-Egger, and weighted median analyses. Sensitivity analyses were conducted to check the robustness of the MR results, and reverse MR analyses were performed to assess potential reverse causation.
Results:
Genetically predicted antibody responses to EBV viral capsid antigen (VCA) p18 were associated with IPF risk. However, GSMR and IVW results indicated that anti-EBV IgG levels were significantly negatively associated with IPF. Sensitivity analyses suggested limited influence of horizontal pleiotropy.
Conclusions:
Genetically predicted EBV-related immune responses show heterogeneous associations with IPF risk. These findings suggest a potential role of EBV-related immune mechanisms in IPF, although causal interpretation should be made cautiously. Further studies are needed to clarify underlying biological mechanisms.
