Mendelian Randomization Analysis of Potential Molecular Targets for Type 2 Airway Inflammatory Diseases
Abstract
Objective
To systematically identify potential pathological molecular and therapeutic targets for type 2 airway inflammatory diseases using Mendelian randomization (MR) and co-localization analysis.
Methods
This study analyzed 4,302 druggable plasma proteins as exposure factors and performed transcriptional MR analysis using their cis-expression quantitative trait loci (cis-eQTL) as instrumental variables. Disease outcome datasets from the UK Biobank and Finnish Cohortwere used for discovery and replication validation, respectively. For proteins successfully validated, cis-protein quantitative trait loci (cis-pQTL) were further used for protein-level MR analysis. By combining co-localization analysis, reverse MR analysis, and mediation analysis, we investigated the association of these plasma proteins with allergic rhinitis (AR), asthma (AS), and nasal polyps (NP).
Results
cis-eQTL MR analysis of 2528 proteins identified 10 proteins associated with AR (TLR10, ERBB3, PNMT, etc.), 7 associated with AS (ERBB3, SLC40A1, PRKCQ, etc.), and 3 associated with NP (IL18RAP, AXL, ERBB3). cis-pQTL MR analysis showed that IL18RAP was associated with lower NP disease risk, while ERBB3 was associated with lower risks of AR, AS, and NP. Co-localization analysis supported the association between ERBB3 and AR (pp.H4 = 0.910). Mediation analysis revealed that the associations between ERBB3 and AR/AS were mediated by eosinophils, with mediation effects accounting for 12.51% and 17.64% of the observed associations, respectively.
Conclusion
This study identified unique and shared molecular targets for type 2 airway inflammatory diseases, with ERBB3 potentially serving as a shared protective factor and biomarker for AR, AS, and NP.
Keywords: Rhinitis, allergic, Asthma, Nasal polyps, Blood proteins, Mendelian randomization analysis
Full Text:
PDFReferences
YAO S, LOU H F. Advances in endotypes and precision medicine in chronic rhinosinusitis. Journal of Otolaryngology and Ophthalmology of Shandong University, 2022, 36(3): 20-29. doi: 10.6040/j.issn.1673-3770.0. 2021.561.
AKENROYE A, LASSITER G, JACKSON J W, et al. Comparative efficacy of mepolizumab, benralizumab, and dupilumab in eosinophilic asthma: a Bayesian network meta-analysis. J Allergy Clin Immunol, 2022, 150(5): 1097-1105. e12. doi: 10.1016/j.jaci.2022.05.024.
NOPSOPON T, LASSITER G, CHEN M L, et al. Comparative efficacy of tezepelumab to mepolizumab, benralizumab, and dupilumab in eosinophilic asthma: a Bayesian network meta-analysis. J Allergy Clin Immunol, 2023, 151(3): 747-755. doi: 10.1016/j.jaci.2022.11.021.
FONG W C G, AZIM A, KNIGHT D, et al. Real-world Omalizumab and Mepolizumab treated difficult asthma phenotypes and their clinical outcomes. Clin Exp Allergy, 2021, 51(8): 1019-1032. doi: 10.1111/cea.13882.
MENZIES-GOW A N, MCBRIEN C, UNNI B, et al. Real World Biologic Use and Switch Patterns in Severe Asthma: Data from the International Severe Asthma Registry and the US CHRONICLE Study. J Asthma Allergy, 2022, 15: 63-78. doi: 10.2147/JAA.S328653.
SKRIVANKOVA V W, RICHMOND R C, WOOLF B A R, et al. Strengthening the Reporting of Observational Studies in Epidemiology Using Mendelian Randomization: the STROBe-MR Statement. JAMA, 2021, 326(16): 1614-1621. doi: 10.1001/jama.2021.18236.
ZENG F Y, SHEN P, GUO W J, et al. Exploring the causal relationship between coagulation function and gestational diabetes Mellitus through mendelian randomization. J Sichuan Univ (Med Sci), 2024, 55(4): 939-946. doi: 10.12182/20240760301.
BYKOVA M, HOU Y, ENG C, et al. Quantitative trait locus (xQTL) approaches identify risk genes and drug targets from human non-coding genomes. Hum Mol Genet, 2022, 31(R1): R105-R113. doi: 10.1093/hmg/ddac208.
FINAN C, GAULTON A, KRUGER F A, et al. The druggable genome and support for target identification and validation in drug development. Sci Transl Med, 2017, 9(383): eaag1166. doi: 10.1126/scitranslmed.aag1166.
VÕSA U, CLARINGBOULD A, WESTRA H J, et al. Large-scale cis- and trans-eQTL analyses identify thousands of genetic loci and polygenic scores that regulate blood gene expression. Nat Genet, 2021, 53(9): 1300-1310. doi: 10.1038/s41588-021-00913-z.
AUTON A, BROOKS L D, DURBIN R M, et al. A global reference for human genetic variation. Nature, 2015, 526(7571): 68-74. doi: 10.1038/nature15393.
ELDJARN G H, FERKINGSTAD E, LUND S H, et al. Large-scale plasma proteomics comparisons through genetics and disease associations. Nature, 2023, 622(7982): 348-358. doi: 10.1038/s41586-023-06563-x.
ELSWORTH B, MITCHELL R, RAISTRICK C, et al. MRC IEU UK Biobank GWAS pipeline version 2. (2019-02-20) [2025-01-18]. https://doi.org/10.5523/bris.pnoat8cxo0u52p6ynfaekeigi.
BURGESS S, BUTTERWORTH A, THOMPSON S G. Mendelian randomization analysis with multiple genetic variants using summarized data. Genet Epidemiol, 2013, 37(7): 658-665. doi: 10.1002/gepi.21758. GIAMBARTOLOMEI C, VUKCEVIC D, SCHADT E E, et al. Bayesian test for colocalisation between pairs of genetic association studies using summary statistics. PLoS Genet, 2014, 10(5): e1004383. doi: 10.1371/journal.pgen.1004383.
KOLKHIR P, AKDIS C A, AKDIS M, et al. Type 2 chronic inflammatory diseases: targets, therapies and unmet needs. Nat Rev Drug Discov, 2023, 22(9): 743-767. doi: 10.1038/s41573-023-00750-1.
CARTER A R, SANDERSON E, HAMMERTON G, et al. Mendelian randomisation for mediation analysis: current methods and challenges for implementation. Eur J Epidemiol, 2021, 36(5): 465-478. doi: 10.1007/s10654-021-00757-1.
MACKINNON D P, LOCKWOOD C M, HOFFMAN J M, et al. A comparison of methods to test mediation and other intervening variable effects. Psychol Methods, 2002, 7(1): 83-104. doi: 10.1037/1082-989x.7.1.83.
DENNIS J K, SEALOCK J M, STRAUB P, et al. Clinical laboratory test-wide association scan of polygenic scores identifies biomarkers of complex disease. Genome Medicine, 2021, 13(1): 6. doi: 10.1186/s13073-020-00820-8.
BENSON V S, HARTL S, BARNES N, et al. Blood eosinophil counts in the general population and airways disease: a comprehensive review and meta-analysis. Eur Respir J, 2022, 59(1): 2004590. doi: 10.1183/13993003. 04590-2020.
LI Y N, LIU C T. Diagnostic value of exhaled nitric oxide in adult asthma: a systemic review and meta-analysis. Chinese Journal of Respiratory and Critical Care Medicine, 2021, 20(6): 416-423. doi: 10.7507/1671-6205. 202105010.
DWEIK R A, BOGGS P B, ERZURUM S C, et al. An official ATS clinical practice guideline: interpretation of exhaled nitric oxide levels (FENO) for clinical applications. Am J Respir Crit Care Med, 2011, 184(5): 602-615. doi: 10.1164/rccm.9120-11ST.
WANG W, GAO Y, ZHU Z, et al. Changes in the clinical and histological characteristics of Chinese chronic rhinosinusitis with nasal polyps over 11 years. Int Forum Allergy Rhinol, 2019, 9(2): 149-157. doi: 10.1002/alr.22234.
KATOTOMICHELAKIS M, TANTILIPIKORN P, HOLTAPPELS G, et al. Inflammatory patterns in upper airway disease in the same geographical area may change over time. Am J Rhinol Allergy, 2013, 27(5): 354-360. doi: 10.2500/ajra.2013.27.3922.
Refbacks
- There are currently no refbacks.



