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Airway wall splice quantitative trait locus analysis reveals novel downstream mechanisms for known asthma single-nucleotide polymorphisms

Tessa M. Kole, Simon D. Pouwels, Rene Bults, Marlies E. Ketelaar, Victor Guryev, Lisanne Koll, Huib A.M. Kerstjens, Martijn C. Nawijn, Alen Faiz, Maarten van den Berge
ERJ Open Research 2023 9: 00413-2022; DOI: 10.1183/23120541.00413-2022
Tessa M. Kole
1Groningen Research Institute for Asthma and COPD, Groningen, The Netherlands
2Department of Pulmonology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
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  • For correspondence: t.m.kole@umcg.nl
Simon D. Pouwels
1Groningen Research Institute for Asthma and COPD, Groningen, The Netherlands
2Department of Pulmonology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
3Department of Medical Biology and Pathology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
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Rene Bults
1Groningen Research Institute for Asthma and COPD, Groningen, The Netherlands
2Department of Pulmonology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
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Marlies E. Ketelaar
1Groningen Research Institute for Asthma and COPD, Groningen, The Netherlands
3Department of Medical Biology and Pathology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
4Department of Pediatrics, Division of Pediatric Pulmonology and Pediatric Allergology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
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Victor Guryev
1Groningen Research Institute for Asthma and COPD, Groningen, The Netherlands
5University of Groningen, European Research Institute for the Biology of Ageing, Groningen, The Netherlands
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Lisanne Koll
1Groningen Research Institute for Asthma and COPD, Groningen, The Netherlands
3Department of Medical Biology and Pathology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
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Huib A.M. Kerstjens
1Groningen Research Institute for Asthma and COPD, Groningen, The Netherlands
2Department of Pulmonology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
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Martijn C. Nawijn
1Groningen Research Institute for Asthma and COPD, Groningen, The Netherlands
3Department of Medical Biology and Pathology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
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Alen Faiz
1Groningen Research Institute for Asthma and COPD, Groningen, The Netherlands
2Department of Pulmonology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
6Respiratory Bioinformatics and Molecular Biology, University of Technology Sydney, Sydney, NSW, Australia
7These authors contributed equally
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Maarten van den Berge
1Groningen Research Institute for Asthma and COPD, Groningen, The Netherlands
2Department of Pulmonology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
7These authors contributed equally
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Abstract

Studying the effects of asthma SNPs on alternative splicing can lead to new insights into asthma pathophysiology. More specifically, a 17q12 SNP is associated to alternative splicing of GSDMB. https://bit.ly/3W49oTs

To the Editor:

Genome-wide association studies (GWAS) [1] have identified single-nucleotide polymorphisms (SNPs) associated with the presence of asthma. It is notoriously difficult to link identified SNPs to downstream functional effects leading to increased asthma risk. A possible strategy to do this is to perform expression quantitative trait locus (eQTL) analyses, which pinpoint the direct effects of SNPs on mRNA expression levels. However, eQTL analyses merely focus on the expression level and do not consider alternative splicing. Alternative splicing is a naturally occurring process in which RNA can be spliced into multiple different transcripts, leading to different forms of a protein, which can strongly affect its function [2]. The present study aimed to identify the effect of asthma-related SNPs on alternative splicing of genes expressed specifically in the airway wall, the predominant site where the inflammatory process occurs. We hypothesised that this might reveal novel downstream mechanisms linking previously identified GWAS SNPs to asthma.

To this end, we used genetic and airway wall biopsy transcriptomic data from 146 subjects, including 50 patients with asthma, 25 subjects in clinical or complete asthma remission and 71 healthy controls. Their mean age was 44 years. 52% of the subjects were male and 50% were either current or past smokers. DNA was isolated from blood and RNA was isolated from bronchial biopsies for RNA sequencing as described previously [3, 4]. Splice site usage was quantified by counting split reads (mapping across exon–exon junctions) as described previously [5, 6]. For each intron in the alignment, the chromosome and first and last intron base were recorded. Trimmed mean of the M-values normalisation was used for split-read counts. We used R, RStudio and the package MatrixEQTL [7–9] to identify splice-QTLs and eQTLs from the split-read and transcript count data. Both the splice-QTL and eQTL analyses were performed using the same cohort.

The associated risk for asthma with the genetic variants is well known and described, and was not assessed in the current cohort due to the limited sample size. We decided to pool groups of asthma, controls and remission subjects to increase the power of our analysis, assuming that the downstream effects of the SNPs associated with the expression of genes or splice variants would be the same in asthma and controls.

A total of 1868 SNPs were associated with asthma in the GWAS catalogue. Of those, 149 were splice-QTLs. After combining these results with the eQTL analyses, we found 28 SNPs to be only splice-QTLs, and not eQTLs, of the affected gene. The remaining 121 SNPs were both splice-QTLs and eQTLs, and were not of interest for this analysis as the significance of the finding is probably mostly driven by the eQTL effect. The 28 splice-QTLs involved four unique target genes. These four unique splice-QTL hits are included in the table in figure 1.

FIGURE 1
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FIGURE 1

Results of the splice quantitative trait locus (QTL) analyses including the splice-QTL hits with splice-QTL false discovery rate (FDR) <0.05 and expression quantitative trait locus (eQTL) FDR >0.05, sorted by splice-QTL FDR (top). Schematic representation of the different gasdermin B (GSDMB) splice variants on an exon level including the length in amino acids on the right (middle). Variants a, b and c match in the middle panel and bottom panels. The differences between GSDMB splice variants on the nucleotide and amino acid levels (bottom). SNP: single-nucleotide polymorphism; GWAS: genome-wide association study; HLA: human leukocyte antigen; LPP: lipoma-preferred partner; MRVI1: murine retrovirus integration site 1 homologue.

The SNP with the largest effect was rs11078928, a splice-QTL for GSDMB (β= −2.13, p=1.70×10−11, false discovery rate (FDR) 3.33×10−7). More precisely, the CC genotype of rs11078928 was associated with the expression of a GSDMB transcript lacking exon 6, labelled “c” in figure 1 and known as ENST00000394179.5 in the Ensembl database. The transcript labelled “a” is a transcript including the full length exon 6 (ENST00000360317.7 in the Ensembl database). In addition, we identified another splice-QTL involving the same SNP rs11078928 (splice junction 17_38064455_38065210). In this case, the CC genotype of rs11078928 was associated with higher expression of a GSDMB splice variant with a truncated exon 6 with 12 base pairs missing from the exon, labelled “b” in figure 1. From here on, we will refer to this variant as the exon 6a variant. The exon 6a variant was found almost exclusively in subjects with a C-allele. Next, a PCR was performed to confirm the existence of this variant. We amplified the RNA from bronchial biopsies and used a validated primer for GSDMB and a custom primer for the exon 6a variant. By visual inspection, we found GSDMB to be present in the CC and CT genotype, and we confirmed the existence of the exon 6a variant in bronchial tissue of the one subject with remaining RNA material and a CC genotype. This confirmed the existence of the newly identified exon 6a variant in bronchial tissue. rs11078928 is not an eQTL or splice-QTL of ORMDL3, a gene close to GSDMB and often linked to the SNP in the literature.

GSDMB is located in the 17q12–21 region, which has been linked to asthma in multiple GWAS [1]. GSDMB encodes the gasdermin B protein, which forms pores in the cell membrane upon cleavage by caspase-1 and subsequently leads to the induction of pyroptosis, a programmed form of cell death that coincides with the release of pro-inflammatory damage-associated molecular patterns into the extracellular space [10]. In the intact protein, the carboxy-terminal region inhibits the formation of the pores. After caspase-dependent cleavage, the amino-terminal product will form the pore in the membrane. Previously, both Panganiban et al. [11] and Gui et al. [12] showed that the CC genotype of rs11078928 results in the exclusion of the full exon 6 in blood. Here, we extend this observation to the airway wall, the primary site of inflammation in asthma [11]. As described by Panganiban et al. [11], the alternatively spliced gasdermin B excluding exon 6 prevents gasdermin B-mediated pyroptosis. We show that the C-allele of rs11078928 is not only associated with the exon 6 variant but we now also describe a novel exon 6a variant. This exon 6a variant retains a larger part of the exon 6, possibly maintaining the pyroptosis execution in CC genotype subjects that is lost in the presence of rs11078928. If this is indeed a compensatory mechanism, this would highlight the importance of maintaining, at least homeostatic levels of, pyroptosis that may be needed to preserve sufficient immune response.

Another splice-QTL is rs9852988 and one of the LPP transcripts (splice-QTL: β=27.28, p=4.19×10−14, FDR 1.52×10−9) coding for a protein called lipoma-preferred partner. According to Zhu et al. [13], the G-allele and minor allele of rs9852988 result in greater asthma risk. We found that the G-allele associated with retention of LPP exon 2. The LPP protein has previously been found to be of importance in modulating epithelial (E)-cadherin-modulated cell adhesion [14]. E-cadherin is an essential molecule in the airways and decreased E-cadherin expression has been found in the airway epithelium of asthma patients [15]. In an in vitro model, LPP-knockdown Madin–Darby canine kidney cells exhibited less adhesion to E-cadherin-coated wells and had lower transepithelial resistance, a measure of tight junction strength [14]. Therefore, the splice-QTL of LPP is of interest, because the alternative splice variant could influence epithelial barrier function. Another nominally significant splice-QTL for the same SNP (rs9852988) was associated with a loss of exon 2 in the LPP transcript and showed high expression in the major allele (A). The affected exon is in a noncoding region close to the start of the coding region of LPP and hypothetically, the presence of exon 2 could decrease the stability of the RNA transcript. The Kozak sequence appears not to be affected by this splice variant, which means the ribosomal binding site remains intact.

In conclusion, we showed that multiple asthma-associated SNPs are splice-QTLs in the airway wall. We have studied two of these splice-QTL hits more extensively. Here, we observed that rs11078928, located in the 17q12 region, affects alternative splicing of GSDMB exon 6. This results in either exclusion of the full exon or part of the exon. The variant excluding exon 6 has previously been shown to result in loss of function of the resulting protein, whereas the effect of the newly discovered variant excluding only part of exon 6 remains unknown. We propose that our findings reveal a compensatory mechanism to restore pyroptosis in CC genotype patients. The downstream effects of rs9852988 on splicing of LPP have yet to be discovered.

Footnotes

  • Provenance: Submitted article, peer reviewed.

  • Conflict of interest: T.M. Kole has nothing to disclose.

  • Conflict of interest: S.D. Pouwels has nothing to disclose.

  • Conflict of interest: R. Bults has nothing to disclose.

  • Conflict of interest: M.E. Ketelaar has nothing to disclose.

  • Conflict of interest: V. Guryev has nothing to disclose.

  • Conflict of interest: L. Koll has nothing to disclose.

  • Conflict of interest: H.A.M. Kerstjens has nothing to disclose.

  • Conflict of interest: M.C. Nawijn has nothing to disclose.

  • Conflict of interest: A. Faiz is a member of a TSANZ Special Interest Group.

  • Conflict of interest: M. van den Berge reports research grants paid to their institution by GlaxoSmithKline, Novartis, AstraZeneca, Roche and Genentech. The submitted work is co-financed by the Dutch Ministry of Economic Affairs and Climate Policy by means of the PPP.

  • Support statement: This study was supported by the Dutch Ministry of Economic Affairs and Climate Policy by means of the PPP. Funding information for this article has been deposited with the Crossref Funder Registry.

  • Received August 24, 2022.
  • Accepted January 9, 2023.
  • Copyright ©The authors 2023
http://creativecommons.org/licenses/by-nc/4.0/

This version is distributed under the terms of the Creative Commons Attribution Non-Commercial Licence 4.0. For commercial reproduction rights and permissions contact permissions{at}ersnet.org

References

  1. ↵
    1. Stein MM,
    2. Thompson EE,
    3. Schoettler N, et al.
    A decade of research on the 17q12–21 asthma locus: piecing together the puzzle. J Allergy Clin Immunol 2018; 142: 749–764. doi:10.1016/j.jaci.2017.12.974
    OpenUrl
  2. ↵
    1. Kelemen O,
    2. Convertini P,
    3. Zhang Z, et al.
    Function of alternative splicing. Gene 2013; 514: 1–30. doi:10.1016/j.gene.2012.07.083
    OpenUrlCrossRefPubMed
  3. ↵
    1. Vermeulen CJ,
    2. Xu CJ,
    3. Vonk JM, et al.
    Differential DNA methylation in bronchial biopsies between persistent asthma and asthma in remission. Eur Respir J 2020; 55: 1901280. doi:10.1183/13993003.01280-2019
    OpenUrlAbstract/FREE Full Text
  4. ↵
    1. Imkamp K,
    2. Berg M,
    3. Vermeulen CJ, et al.
    Nasal epithelium as a proxy for bronchial epithelium for smoking-induced gene expression and expression Quantitative Trait Loci. J Allergy Clin Immunol 2018; 142: 314–317. doi:10.1016/j.jaci.2018.01.047
    OpenUrlPubMed
  5. ↵
    1. Faiz A,
    2. Heijink IH,
    3. Vermeulen CJ, et al.
    Cigarette smoke exposure decreases CFLAR expression in the bronchial epithelium, augmenting susceptibility for lung epithelial cell death and DAMP release. Sci Rep 2018; 8: 12426. doi:10.1038/s41598-018-30602-7
    OpenUrlCrossRefPubMed
  6. ↵
    1. Faiz A,
    2. van den Berge M,
    3. Vermeulen CJ, et al.
    AGER expression and alternative splicing in bronchial biopsies of smokers and never smokers. Respir Res 2019; 20: 70. doi:10.1186/s12931-019-1038-6
    OpenUrlCrossRef
  7. ↵
    1. Shabalin AA
    . Matrix eQTL: ultra fast eQTL analysis via large matrix operations. Bioinformatics 2012; 28: 1353–1358. doi:10.1093/bioinformatics/bts163
    OpenUrlCrossRefPubMed
    1. R Core Team
    . A Language and Environment for Statistical Computing. Vienna, R Foundation for Statistical Computing, 2021.
  8. ↵
    1. RStudio Team
    . RStudio: Integrated Development Environment for R. Boston, RStudio PBC, 2020.
  9. ↵
    1. Feng S,
    2. Fox D,
    3. Man SM
    . Mechanisms of gasdermin family members in inflammasome signaling and cell death. J Mol Biol 2018; 430: 3068–3080. doi:10.1016/j.jmb.2018.07.002
    OpenUrlCrossRefPubMed
  10. ↵
    1. Panganiban RA,
    2. Sun M,
    3. Dahlin A, et al.
    A functional splicing variant associated with decreased asthma risk abolishes the ability of gasdermin B (GSMDB) to induce epithelial cell pyroptosis. J Allergy Clin Immunol 2018; 142: 1469–1478.e2. doi:10.1016/j.jaci.2017.11.040
    OpenUrl
  11. ↵
    1. Gui H,
    2. Levin AM,
    3. Hu D, et al.
    Mapping the 17q12–21.1 locus for variants associated with early-onset asthma in African Americans. Am J Respir Crit Care Med 2021; 203: 424–436. doi:10.1164/rccm.202006-2623OC
    OpenUrl
  12. ↵
    1. Zhu Z,
    2. Zhu X,
    3. Liu CL, et al.
    Shared genetics of asthma and mental health disorders: a large-scale genome-wide cross-trait analysis. Eur Respir J 2019; 54: 1901507. doi:10.1183/13993003.01507-2019
    OpenUrlAbstract/FREE Full Text
  13. ↵
    1. Van Itallie CM,
    2. Tietgens AJ,
    3. Aponte A, et al.
    Biotin ligase tagging identifies proteins proximal to E-cadherin, including lipoma preferred partner, a regulator of epithelial cell-cell and cell-substrate adhesion. J Cell Sci 2014; 127: 885–895.
    OpenUrlAbstract/FREE Full Text
  14. ↵
    1. Nawijn MC,
    2. Hackett TL,
    3. Postma DS, et al.
    E-cadherin: gatekeeper of airway mucosa and allergic sensitization. Trends Immunol 2011; 32: 248–255. doi:10.1016/j.it.2011.03.004
    OpenUrlCrossRefPubMed
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Airway wall splice quantitative trait locus analysis reveals novel downstream mechanisms for known asthma single-nucleotide polymorphisms
Tessa M. Kole, Simon D. Pouwels, Rene Bults, Marlies E. Ketelaar, Victor Guryev, Lisanne Koll, Huib A.M. Kerstjens, Martijn C. Nawijn, Alen Faiz, Maarten van den Berge
ERJ Open Research Mar 2023, 9 (2) 00413-2022; DOI: 10.1183/23120541.00413-2022

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Airway wall splice quantitative trait locus analysis reveals novel downstream mechanisms for known asthma single-nucleotide polymorphisms
Tessa M. Kole, Simon D. Pouwels, Rene Bults, Marlies E. Ketelaar, Victor Guryev, Lisanne Koll, Huib A.M. Kerstjens, Martijn C. Nawijn, Alen Faiz, Maarten van den Berge
ERJ Open Research Mar 2023, 9 (2) 00413-2022; DOI: 10.1183/23120541.00413-2022
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