Abstract
The identification of disease alleles underlying human autoinflammatory diseases can provide important insights into the mechanisms that maintain neutrophil homeostasis. Here, we focused our attention on generalized pustular psoriasis (GPP), a potentially life-threatening disorder presenting with cutaneous and systemic neutrophilia. Following the whole-exome sequencing of 19 unrelated affected individuals, we identified a subject harboring a homozygous splice-site mutation (c.2031−2A>C) in MPO. This encodes myeloperoxidase, an essential component of neutrophil azurophil granules. MPO screening in conditions phenotypically related to GPP uncovered further disease alleles in one subject with acral pustular psoriasis (c.2031−2A>C;c.2031−2A>C) and in two individuals with acute generalized exanthematous pustulosis (c.1705C>T;c.2031−2A>C and c.1552_1565del;c.1552_1565del). A subsequent analysis of UK Biobank data demonstrated that the c.2031−2A>C and c.1705C>T (p.Arg569Trp) disease alleles were also associated with increased neutrophil abundance in the general population (p = 5.1 × 10−6 and p = 3.6 × 10−5, respectively). The same applied to three further deleterious variants that had been genotyped in the cohort, with two alleles (c.995C>T [p.Ala332Val] and c.752T>C [p.Met251Thr]) yielding p values < 10−10. Finally, treatment of healthy neutrophils with an MPO inhibitor (4-Aminobenzoic acid hydrazide) increased cell viability and delayed apoptosis, highlighting a mechanism whereby MPO mutations affect granulocyte numbers. These findings identify MPO as a genetic determinant of pustular skin disease and neutrophil abundance. Given the recent interest in the development of MPO antagonists for the treatment of neurodegenerative disease, our results also suggest that the pro-inflammatory effects of these agents should be closely monitored.
Keywords: MPO, myeloperoxidase, myeloperoxidase deficiency, neutrophils, generalized pustular psoriasis, GPP, acute generalized exanthematous pustulosis, AGEP
Main Text
A tight regulation of neutrophil numbers is crucial to innate immune homeostasis. As mature granulocytes do not divide, their accumulation depends on the balance between progenitor proliferation, release of differentiated cells into the bloodstream, and clearance of aging cells.1 Given the difficulty of manipulating primary neutrophils, the mechanisms that regulate these processes have mostly been investigated in animal models. In this context, the genetic characterization of human autoinflammatory diseases can provide crucial insights into the pathways that maintain neutrophil homeostasis.
Here we focused our attention on generalized pustular psoriasis (GPP [MIM: 614204]), a potentially life-threatening condition presenting with flares of neutrophilic skin inflammation (pustular eruptions), fever, increased production of acute phase reactants, and neutrophilia. While disease alleles have been described in IL36RN, AP1S3, and CARD14, the majority of affected individuals do not carry deleterious changes at these loci.2
To identify genetic determinants for GPP, we undertook whole-exome sequencing in 19 unrelated affected individuals of varying ancestry (Table S1, Figure 1A). Given the severity of the condition and the lack of parent-offspring transmissions, we hypothesized the presence of recessive loss-of-function alleles. We therefore filtered the variant profiles to retain rare homozygous changes predicted to cause premature protein truncation. This identified six candidate mutations, each affecting a single individual (Table S2).
Figure 1.
MPO Mutations Are Associated with Pustular Skin Disease
(A) Typical presentation of generalized pustular psoriasis (bottom panel, showing skin pustulation on an erythematous background) and acral pustular psoriasis (top panel, showing neutrophil-filled pustules affecting the soles).
(B) Validation of the disease alleles identified by whole-exome sequencing. The chromatograms show the c.2031−2A>C substitution observed in the GPP and APP subjects (left) and the c.1552_1565del deletion detected in a study participant with AGEP (right). The position of disease alleles is highlighted by bold, underlined font. Sanger sequencing could not be carried out in the c.2031−2A>C;c.1705C>T individual as no DNA was left for this subject.
The c.2031−2A>C substitution in MPO (MIM: 606989; GenBank: NM_000250) (Figure 1B) was selected for follow-up, as the gene encodes myeloperoxidase, a major component of neutrophil azurophilic granules. Of note, the c.2031−2A>C change has been previously observed in individuals presenting with myeloperoxidase deficiency (MPOD [MIM: 254600]) (Table S3), an inherited defect of neutrophil microbicidal activity.3 Specifically, Marchetti et al. demonstrated that the substitution affects splicing and leads to the production of a truncated protein lacking enzymatic activity.3
Here, the frequency of the c.2031−2C;c.2031−2C genotype among European GPP case subjects was much higher than that observed in the non-Finnish European exomes sequenced by the gnomAD consortium (5.3% versus 0.003%; p = 0.001) (Table 1). Given that frequency estimates obtained in small datasets are not always robust, the MPO coding region was next examined in a validation sample, including 14 GPP subjects and 109 individuals with acral variants of pustular psoriasis (APP). This uncovered a further study participant harboring a homozygous c.2031−2A>C substitution (Figure 1B, Table 2, and Supplemental Note).
Table 1.
Frequency of the c.2031−2C;c.2031−2C Genotypes in Case Subjects versus Control Subjects
Genotype Counts (%) |
p Value | ||
---|---|---|---|
Cases | Controls | ||
Discovery cohort | 1/19 (5.3%) | 2/56,7466 (0.003%) | 0.001 |
Replication cohort | 1/123 (0.8%) | 0/32,264 (0%) | 0.004 |
Combined study cohort | 2/142 (1.4%) | 2/89,010 (0.002%) | 1.5 × 10−5 |
c.2031−2A>C was the only truncating change observed in the homozygous state in the control subjects, obviating the need for a burden association test.
Table 2.
Disease Features Observed in Individuals with Bi-allelic MPO Mutations
Subjects | Sex | Age of Onset | Diagnosisa | Systemic Involvement | Genotype |
---|---|---|---|---|---|
GYFAP0014 | F | 36 | GPP | fever and neutrophilia | c.2031−2A>C;c.2031−2A>C |
DDPLM0001 | F | 24 | APP | – | c.2031−2A>C;c.2031−2A>C |
SCAR2124 | F | 80 | AGEP (methotrexate) | fever and neutrophilia | c.1552_1565del;c.1552_1565del |
SCAR2567 | F | 69 | AGEP (hydroxychloroquine) | fever | c.2031−2A>C;c.1705C>T |
None of the affected individuals reported a history of recurrent infections.
The most likely culprit drug for each AGEP subject is reported in parentheses. AGEP, acute generalized exanthematous pustulosis; APP, acral pustular psoriasis; GPP, generalized pustular psoriasis.
While no other bi-allelic or truncating MPO changes were detected (Table S4), a comparison of the replication cohort against a second gnomAD dataset (32,264 Non-Finnish European genomes) confirmed the elevated frequency of the c.2031−2C;c.2031−2C genotype in case subjects versus control subjects (0.8% versus 0%; p = 0.004) (Table 1). Finally, the analysis of the combined study resource (142 case subjects versus 89,010 control subjects) yielded a p value of 1.5 × 10−5 (Table 1). Importantly, the c.2031−2C;c.2031−2C genotype was also absent from 590 British exomes processed with our in-house pipeline. Thus, the association with GPP/-APP is unlikely to be a technical artifact or to reflect population stratification between case and control subjects.
To further investigate the impact of MPO recessive alleles, we queried exome-sequencing data available for 96 unrelated individuals affected by acute generalized exanthematous pustulosis (AGEP). This is a severe cutaneous adverse reaction, which can be triggered by drugs (mostly antibiotics and antifungals), leading to flares of skin pustulation, fever, and systemic neutrophilia.4 Our analysis identified an affected individual, who was homozygous for a 14 bp MPO deletion (c.1552_1565del [p.Met519Profs∗21]). A second study participant had inherited the c.2031−2A>C substitution previously observed in GPP/APP, in conjunction with a damaging c.1705C>T (p.Arg569Trp) change (CADD score: 35.0) (Table 2, Supplemental Note).
Of note, homozygous c.1705C>T (p.Arg569Trp) mutations have been repeatedly observed in individuals affected by MPOD.5,6 A c.1555_1568del variant, which overlaps the c.1552_1565del variant described here, has also been documented in an affected-relative pair, where it triggered nonsense-mediated decay in at least one individual7 (Table S3). Thus, all the MPO alleles observed in our dataset have a well-established impact on protein function.
MPOD is a mild immune deficiency that is clinically well characterized. We therefore undertook a systematic literature review, to better understand the connection between MPO mutations, MPOD, and skin pustulation. We examined 28 articles describing the presentation of MPOD in 217 individuals. This uncovered four case reports where the disease manifested with pustular eruptions and a fifth where it was associated with the severe neutrophilic dermatosis known as pyoderma gangrenosum (Table S5). Given the very low prevalence of the above conditions (<1:100,000), these observations strengthen the link between MPO dysfunction and neutrophilic inflammation.
To investigate the mechanisms whereby MPO mutations contribute to disease, we explored the phenotypic effects of the c.2031−2A>C variant though a Phenome-Wide Association study (PheWAS). We queried the UK Biobank dataset, which includes genotype information and health data for a well-characterized population cohort (>450,000 individuals).8 While the fraction of c.2031−2C homozygotes (0.003%) (Table S3) present in the biobank was very small, c.2031−2A>C heterozygotes accounted for approximately 1% of study participants. Thus, we were able to analyze the c.2031−2A>C genotypes against 778 available phenotypes. This revealed that the traits showing the most significant associations with c.2031−2A>C were related to leukocyte counts. In this context, the largest effect size (beta) was observed for the association with neutrophil abundance (beta = 0.45; p = 5.1 × 10−6; Figure 2A). To validate these findings, we examined the c.1705C>T (p.Arg569Trp) change and three additional MPOD alleles (c.518A>G [p.Tyr173Cys], c.752T>C [p.Met251Thr], c.995C>T [p.Ala332Val]) for which genotype data were available in UK Biobank (Table S3). We found that all were associated with increased neutrophil accumulation, with p values ranging from 0.008 to 3.9 × 10−28 (Figure 2B).
Figure 2.
MPO Mutations Are Associated with Increased Neutrophil Counts and Delayed Apoptosis
(A) Manhattan plot where each dot represents the association between c.2031−2A and a clinical trait. The p values for phenotypes related to leukocyte counts are highlighted with a red circle and reported on the right, alongside the effect sizes (beta).
(B) Association between MPO deficiency alleles and neutrophil percentage. The size of each bubble represents the frequency of the mutation in UK Biobank.
(C and D) ABAH pre-treatment of cells stimulated with PMA increases viability (C) and downregulates apoptosis (D). In (C) data are presented as the mean (±SD) of four experiments carried out in triplicate. In (D) each line represents an independent healthy donor. A representative set of flow cytometry plots is shown on the left with the percentage of apoptotic cells (AnnexinV+, PI- population) for each condition. RPMI = untreated (medium only); ∗p < 0.05 ∗∗p < 0.01; ∗∗∗p < 0.001 (non-parametric ANOVA).
To explore the pathways underlying the effects of MPO alleles on granulocyte numbers, we examined RNA-sequencing profiles generated in pure neutrophil populations (see Supplemental Subjects and Methods). Specifically, we compared gene expression in the c.2031−2A>C homozygous GPP individual versus 11 healthy control subjects. We observed that MPO was expressed at comparable levels in the affected subject and the unaffected control subjects (FDR > 0.5). As c.2031−2A>C affects the splicing of the last exon, this is in keeping with the expectation of an escape from nonsense-mediated decay.
Conversely, we found that 95 genes were upregulated in the affected individual (FDR < 0.05) (Table S6). The majority of these loci (85/95) were not overexpressed in 7 unrelated individuals with GPP (all MPO wild type) examined in parallel, indicating that the changes are unlikely to be a secondary effect of inflammation.
While the experiment was limited by the modest sample size and the number of differentially expressed genes was too small for pathway enrichment analyses, we noted that two of the five most upregulated loci (PBK and GUCYA2) encode proteins (PDZ binding kinase and soluble guanylate cyclase alpha-2 subunit) that can inhibit apoptosis.9,10 This suggests that MPO mutations may affect neutrophil survival.
We investigated this possibility by using a myeloperoxidase inhibitor (4-Aminobenzoic acid hydrazide, ABAH) to mimic the effects of MPO disease alleles in cell culture experiments. We induced neutrophil apoptosis through Phorbol 12-myristate 13-acetate (PMA) stimulation and assessed the effects of ABAH pre-treatment on this process. While PMA caused substantial neutrophil death, we found that ABAH supplementation caused an increase in cell viability (Figure 2C) and a reduction in the number of apoptotic cells (Figure 2D). Thus, neutrophil apoptosis is downregulated in the absence of MPO activity.
Our findings (and those independently reported by Haskamp et al.11) demonstrate a significant association between MPO mutations and pustular skin disease. While the disease alleles described here have also been implicated in MPOD, we did not observe any evidence of immune deficiency in the individuals examined in this study. Likewise, pustular skin disease is present in only a fraction of people affected by MPOD. Thus, it is tempting to speculate that the manifestations of MPO mutations may be influenced by background polygenic variation, especially as a similar phenomenon has been documented in rare hematological phenotypes.12 Of note, the c.2031−2C;c.2031−2C GPP individual described here also harbored a deleterious AP1S3 allele (GenBank: NM_001039569.2; c.97C>T [p.Arg33Trp]),13 which further supports the involvement of genetic modifiers.
An increased prevalence of spondyloarthropathy has also been reported among individuals with MPO deficiency.14 This suggests that the disruption of neutrophil apoptosis may affect immune homeostasis in multiple organs. Given that MPO inhibitors are being developed for the treatment of neurodegenerative disease,15 our data suggest that the inflammatory side effects of these agents should be closely monitored during clinical trials.
The results of our PheWAS indicate that the effects of MPO alleles are likely to be mediated by a systemic upregulation of neutrophil numbers. Of note, a significant association between granulocyte abundance and a common MPO variant has previously been documented,16 further supporting the role of the gene in neutrophil homeostasis.
Further studies will be required to dissect the molecular mechanisms whereby MPO deficiency downregulates cell death. Given that PBK (one of the most upregulated genes in the c.2031−2A>C homozygous individual) is an inhibitor of myeloid cell apoptosis,9 its role is worthy of further examination. A proposed link between MPO-related oxidative stress, NF-κB activation, and apoptotic signaling17 should also be investigated. While experimentally demanding, these studies have the potential to illuminate key regulators of innate immune homeostasis and uncover new candidate genes for neutrophilic conditions.
Data and Code Availability
The neutrophil RNA-sequencing dataset described in this study may be obtained from the Gene Expression Omnibus using identifier GSE123787.
Declaration of Interests
A.D.B. has received funding from Boehringer-Ingelheim. C.H.S. has been a principal (or co-) investigator on commercially sponsored clinical trials and investigator-led studies funded by AbbVie, GaxoSmithKline, Janssen, Novartis, Pfizer, Regeneron, Roche, Sanquin, Celgene, Sanofi, LEO Pharma, Boehringer Ingleheim, and UCB Pharma. F.C. has received funding from Boehringer-Ingelheim and consultancy fees from AnaptysBio. J.N.B. has received funding and fees from Abbvie, Boehringer-Ingelheim, Bristol Myers Squibb, Celegene, Ely Lily, Novartis, Pfizer, Samsung, Sienna, and Sun Pharma. N.J.R. has received research funding for clinical trials from AnaptysBio through Newcastle Hospitals NHS Foundation Trust. P.B. and S.V. are Boehringer-Ingelheim employees. S.W. has received non-financial support (sponsorship to attend dermatology conferences) from Janssen, Abbvie, Novartis, and Almirall.
Acknowledgments
This research has been conducted using the UK Biobank Resource. We are grateful to Athanasios Niaouris and Nick Dand for their technical and analytical support. We acknowledge support from the Department of Health via a National Institute of Health Research (NIHR) Biomedical Research Centre award to Guy’s and St Thomas’ NHS Foundation Trust in partnership with King’s College London and King’s College Hospital NHS Foundation Trust (guysbrc-2012-1). We also acknowledge support from the Newcastle NIHR Biomedical Research Centre. The APRICOT trial is funded by the Efficacy and Mechanism Evaluation Programme (grant EME 13/50/17). This work has been partly funded by a European Academy of Dermatology and Venereology (EADV) award to J.N.B. and F.C. (grant PPRC-2018-25). U.H. is funded by the DFG (CRC1181, Project A05). M.V. is supported by a Medical Research Council (MRC) PhD studentship, N.B.-O. by a NIHR pre-doctoral fellowship (NIHR300473), and S.K.M. by an MRC Clinical Academic Research Partnership award (MR/T02383X/1). R.B.W. is supported by the Manchester NIHR Biomedical Research Centre. N.J.R. is a NIHR senior investigator. He also acknowledges support from the Newcastle MRC/EPSRC Molecular Pathology Node and the Newcastle NIHR Medtech and In vitro diagnostic Co-operative. M.M. and M.P. are part of The International Registry of Severe Cutaneous Adverse Reaction (RegiSCAR) Consortium, funded by unrestricted grants from the European Commission (QLRT-2002-01738), GIS-Institut des Maladies Rares and INSERM (4CH09G) in France, and by a consortium of pharmaceutical companies.
Published: August 5, 2020
Footnotes
Supplemental Data can be found online at https://doi.org/10.1016/j.ajhg.2020.06.020.
Contributor Information
Francesca Capon, Email: francesca.capon@kcl.ac.uk.
The APRICOT and PLUM study team:
Thamir Abraham, Mahmud Ali, Suzannah August, David Baudry, Anthony Bewley, Hywel Cooper, John Ingram, Susan Kelly, Mohsen Korshid, Effie Ladoyanni, John McKenna, Freya Meynell, Richard Parslew, Prakash Patel, Angela Pushparajah, Nick Reynolds, Catherine Smith, Shyamal Wahie, Richard Warren, and Andrew Wright
Web Resources
GeneAtlas, http://geneatlas.roslin.ed.ac.uk/
Gene Expression Omnibus, https://www.ncbi.nlm.nih.gov/gds
gnomAD server, https://gnomad.broadinstitute.org/
OMIM, https://omim.org/
Supplemental Data
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
The neutrophil RNA-sequencing dataset described in this study may be obtained from the Gene Expression Omnibus using identifier GSE123787.