Exploring the Causal Relationship Between Circulating Immune Cells and Autoimmune Hepatitis Through Mendelian Randomization Analysis
Abstract
To elucidate the causal relationship between specific immune cells and autoimmune hepatitis (AIH) using a two-sample Mendelian randomization (MR) approach.
Methods
A bidirectional MR analysis was conducted using data from large publicly accessible Genome-Wide Association Study (GWAS) databases. The inverse variance weighted (IVW) method was employed as the primary method to evaluate the relationship between 731 immune cell traits and AIH. The false discovery rate (FDR) was controlled using the Benjamini-Hochberg correction. Additionally, pleiotropy and heterogeneity tests were performed, and a leave-one-out sensitivity analysis was conducted to further validate the robustness of the results.
Results
At a significance level of 0.20, it was found that the absolute count of CD28−CD8+ regulatory T-cells (IVW: odds ratio [OR] = 1.486; 95% confidence interval [CI], 1.189-1.859; P < 0.001; PFDR = 0.185), the level of CD28 on CD39+ secreting regulatory T-cells (IVW: OR = 1.194; 95% CI, 1.074-1.328; P = 0.001; PFDR = 0.185), and the level of CD45 on mononuclear myeloid-derived suppressor cells (IVW: OR = 1.243; 95% CI, 1.108-1.394; P < 0.001; PFDR = 0.143) were associated with an increased risk of AIH. The level of programmed death-ligand 1 on CD14+CD16+ monocytes (IVW: OR = 0.849; 95% CI, 0.771-0.935; P < 0.001; PFDR = 0.185) was associated with a reduced risk of AIH.
Conclusion
Four immune cell phenotypes associated with AIH risk are identified. Further investigation is needed to validate these findings and explore new therapeutic avenues.
Keywords: Autoimmune hepatitis, Mendelian randomization, Immune cells
Full Text:
PDFReferences
TRIVEDI P J, HIRSCHFIELD G M. Recent advances in clinical practice: epidemiology of autoimmune liver diseases. Gut, 2021, 70(10): 1989-2003. doi: 10.1136/gutjnl-2020-322362.
TIAN A P, LI Q, MAO Y W, et al. Comparison of antibody characteristics and hormone response in ANA-positive AIH-PBC overlap syndrome and patients with AIH alone analysis of influencing factors. J Lanzhou Univ (Med Sci), 2023, 49(5): 41-46. doi: 10.13885/j.issn.1000-2812.2023.05.006.
TERZIROLI BERETTA-PICCOLI B, MIELI-VERGANI G, VERGANI D. Autoimmmune hepatitis. Cell Mol Immunol, 2021, 19(2): 158-176. doi: 10.1038/s41423-021-00768-8.
LONGHI M S, MIELI-VERGANI G, VERGANI D. Regulatory T cells in autoimmune hepatitis: an updated overview. J Autoimmun, 2021, 119: 102619. doi: 10.1016/j.jaut.2021.102619.
LIBERAL R, GRANT C R, HOLDER B S, et al. In autoimmune hepatitis type 1 or the autoimmune hepatitis-sclerosing cholangitis variant defective regulatory T-cell responsiveness to IL-2 results in low IL-10 production and impaired suppression. Hepatology, 2015, 62(3): 863-75. doi: 10.1002/hep.27884.
CHENG X H, WANG H J, WANG Y, et al. Mechanism of Yinchenhao decoction in treating autoimmune hepatitis based on network pharmacology and molecular docking. J Lanzhou Univ (Med Sci), 2023, 49(8): 6-15. doi: 10.13885/j.issn.1000-2812.2023.08.002.
MURATORI L, LOHSE A W, LENZI M. Diagnosis and management of autoimmune hepatitis. BMJ, 2023, 380: e070201. doi: 10.1136/bmj-2022-070201.
BOWDEN J, HOLMES M V. Meta-analysis and mendelian randomization: a review. Res Synth Methods, 2019, 10(4): 486-496. doi: 10.1002/jrsm.1346.
SEKULA P, DEL GRECO M F, PATTARO C, et al. Mendelian randomization as an approach to assess causality using observational data. J Am Soc Nephrol, 2016, 27(11): 3253-3265. doi: 10.1681/ASN. 2016010098.
EMDIN C A, KHERA A V, KATHIRESAN S. Mendelian randomization. JAMA, 2017, 318(19): 1925-1926. doi: 10.1001/jama.2017.17219.
ORRU V, STERI M, SIDORE C, et al. Complex genetic signatures in immune cells underlie autoimmunity and inform therapy. Nat Genet, 2020, 52(10): 1036-1045. doi: 10.1038/s41588-020-0684-4.
SAKAUE S, KANAI M, TANIGAWA Y, et al. A cross-population atlas of genetic associations for 220 human phenotypes. Nat Genet, 2021, 53(10): 1415-1424. doi: 10.1038/s41588-021-00931-x.
FEI Y, YU H, WU Y, et al. The causal relationship between immune cells and ankylosing spondylitis: a bidirectional Mendelian randomization study. Arthritis Res Ther, 2024, 26(1): 24. doi: 10.1186/s13075-024-03266-0.
XU Z, LI R, WANG L, et al. Pathogenic role of different phenotypes of immune cells in airway allergic diseases: a study based on Mendelian randomization. Front Immunol, 2024, 15: 1349470. doi: 10.3389/fimmu. 2024.1349470.
WU W, TONG H M, LI Y S, et al. Rosacea and autoimmune liver diseases: a two-sample Mendelian randomization study. Arch Dermatol Res, 2024, 316(8): 549. doi: 10.1007/s00403-024-03331-3.
XUE H, CHEN J, FAN W. Assessing the causal relationship between immune cell traits and depression by Mendelian randomization analysis. J Affect Disord, 2024, 356: 48-53. doi: 10.1016/j.jad.2024.04.006.
RUAN X, CHEN J, SUN Y, et al. Depression and 24 gastrointestinal diseases: a Mendelian randomization study. Transl Psychiatry, 2023, 13(1): 146. doi: 10.1038/s41398-023-02459-6.
SHEN M, ZHANG L, CHEN C, et al. Investigating the causal relationship between immune cell and Alzheimer's disease: a Mendelian randomization analysis. BMC Neurol, 2024, 24(1): 98. doi: 10.1186/s12883-024-03599-y.
BURGESS S, DAVEY SMITH G, DAVIES N M, et al. Guidelines for performing Mendelian randomization investigations: update for summer 2023. Wellcome Open Res, 2019, 4: 186. doi: 10.12688/wellcomeopenres. 15555.3.
BENJAMINI Y, HOCHBERG Y. Controlling the false discovery rate: a practical and powerful approach to multiple testing. J Royal Stati Society Series B: Stat Methodol, 1995, 57(1): 289-300. doi: 10.1111/j.2517-6161. 1995.tb02031.x.
RAN B, QIN J, WU Y, et al. Causal role of immune cells in chronic obstructive pulmonary disease: Mendelian randomization study. Expert Rev Clin Immunol, 2024, 20(4): 413-421. doi: 10.1080/1744666X.2023. 2295987.
WANG C, ZHU D, ZHANG D, et al. Causal role of immune cells in schizophrenia: Mendelian randomization (MR) study. BMC Psychiatry, 2023, 23(1): 590. doi: 10.1186/s12888-023-05081-4.
VERBANCK M, CHEN C Y, NEALE B, et al. Detection of widespread horizontal pleiotropy in causal relationships inferred from Mendelian randomization between complex traits and diseases. Nat Genet, 2018, 50(5): 693-698. doi: 10.1038/s41588-018-0099-7.
BOWDEN J, DEL GRECO M F, MINELLI C, et al. Improving the accuracy of two-sample summary-data Mendelian randomization: moving beyond the NOME assumption. Int J Epidemiol, 2019, 48(3): 728-742. doi: 10.1093/ije/dyy258.
HEMANI G, BOWDEN J, DAVEY SMITH G. Evaluating the potential role of pleiotropy in Mendelian randomization studies. Hum Mol Genet, 2018, 27(R2): R195-R208. doi: 10.1093/hmg/ddy163.
Refbacks
- There are currently no refbacks.



