Abstract

Background

The previous epidemiological and experimental evidence has implied the linkage between chronic inflammation to idiopathic pulmonary fibrosis (IPF). However, it was still unclear whether there were casual associations between circulating inflammatory cytokines and IPF development. The objective of present study was to examine whether altered genetically predicted concentration of circulating cytokines were associated with IPF development using a two-sample Mendelian randomization (MR) analysis.

Materials and methods

The causal effects of 23 circulating inflammatory cytokines were evaluated on IPF using MR analysis. The primary approach of MR analysis was the inverse variance-weighted (IVW) method. The sensitivity analyses were conducted by simple median, weighted median, penalized weighted median and MR-Egger regression methods.

Results

The present MR study found suggestive evidence that a higher circulating IL-14 level was associated with an increased risk of IPF (random effects IVW method: odds ratio: 1.001, 95% confidence interval: 1.000-1.001, P = 0.026). The sensitivity analysis yielded directionally similar results for IL-14. There was no significant association found between other circulating inflammatory cytokines and IPF.

Conclusion

The high level of IL14 predicted by genes had a casual relationship with the increased risk of IPF. This finding provided epidemiological evidence for drug therapy targeting inflammatory factors in the prevention and treatment of IPF. It’s warranted further exploration to validate the clinical significance of IL14 associated with developmental risk of IPF.

Details

Title
Circulating inflammatory cytokines and risk of idiopathic pulmonary fibrosis: a Mendelian randomization study
Author
Jia, Qinyao; Lei, Yanmei; Chen, Shaoping; Liu, Shengming; Wang, Tao; Cheng, Yao
Pages
1-10
Section
Research
Publication year
2023
Publication date
2023
Publisher
BioMed Central
e-ISSN
14712466
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2877493164
Copyright
© 2023. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.