Literature DB >> 25641235

Low anti-staphylococcal IgG responses in granulomatosis with polyangiitis patients despite long-term Staphylococcus aureus exposure.

Corinna Glasner1, Mirjan M van Timmeren2, Tim Stobernack1, Till F Omansen1, Erwin C Raangs1, John W Rossen1, Marcus C de Goffau1, Jan P Arends1, Greetje A Kampinga1, Denny G A M Koedijk1, Jolanda Neef1, Girbe Buist1, Mehri Tavakol3, Willem J B van Wamel3, Abraham Rutgers4, Coen A Stegeman5, Cees G M Kallenberg4, Peter Heeringa2, Jan Maarten van Dijl1.   

Abstract

Chronic nasal carriage of the bacterium Staphylococcus aureus in patients with the autoimmune disease granulomatosis with polyangiitis (GPA) is a risk factor for disease relapse. To date, it was neither known whether GPA patients show similar humoral immune responses to S. aureus as healthy carriers, nor whether specific S. aureus types are associated with GPA. Therefore, this study was aimed at assessing humoral immune responses of GPA patients against S. aureus antigens in relation to the genetic diversity of their nasal S. aureus isolates. A retrospective cohort study was conducted, including 85 GPA patients and 18 healthy controls (HC). Humoral immune responses against S. aureus were investigated by determining serum IgG levels against 59 S. aureus antigens. Unexpectedly, patient sera contained lower anti-staphylococcal IgG levels than sera from HC, regardless of the patients' treatment, while total IgG levels were similar or higher. Furthermore, 210 S. aureus isolates obtained from GPA patients were characterized by different typing approaches. This showed that the S. aureus population of GPA patients is highly diverse and mirrors the general S. aureus population. Our combined findings imply that GPA patients are less capable of mounting a potentially protective antibody response to S. aureus than healthy individuals.

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Year:  2015        PMID: 25641235      PMCID: PMC5389034          DOI: 10.1038/srep08188

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


Granulomatosis with polyangiitis (GPA) is a systemic autoimmune disease characterized by small-vessel vasculitis and chronic necrotizing granulomatous inflammation with a predilection for the upper and lower respiratory tract and kidneys1. GPA is further characterized by the presence of anti-neutrophil cytoplasmic antibodies (ANCA) against proteinase 3 (PR3). Although the etiopathogenesis of GPA has been studied extensively and various genetic and environmental factors are known to contribute to inflammation, the primary cause of this disease is still debated2345. However, upper airways infections have been repeatedly linked to GPA236789. Approximately 60–70% of GPA patients are chronic nasal carriers of the opportunistic pathogen Staphylococcus aureus, and nasal S. aureus carriage is associated with an increased risk of relapse6810. Consistent with these findings, anti-bacterial treatment with co-trimoxazole reduces the risk of relapse1112. To date, the precise mechanism by which S. aureus could exert a pathophysiological role in GPA has remained enigmatic. In view of the persistent activation of circulating T cells, staphylococcal superantigens (SAgs) were invoked as chronic stimuli of aberrant immune responses13. Indeed, it was shown that GPA patients carrying S. aureus positive for the superantigen toxic shock syndrome toxin-1 (TSST-1) have an increased risk for relapse, although earlier studies had not revealed a correlation between the presence of SAg genes and the expansion of specific T cell subsets in peripheral blood1415. S. aureus carriage, occurring in 20–30% of the general human population, is usually asymptomatic. However this bacterium can cause serious infections16. Epidemiological studies have shown that certain clonal lineages of S. aureus attain a geo-spatial predominance, but clear associations of specific S. aureus types with specific diseases have not been reported171819. Nevertheless, it is known that virulence factors, like TSST-1 and exfoliative toxins, cause particular disease phenotypes, such as toxic shock syndrome and staphylococcal scalded skin syndrome, respectively202122. Information on anti-staphylococcal immune responses in GPA patients and in-depth genetic analyses of their S. aureus isolates have so far been lacking. Hence, it was unknown to which extent particular S. aureus antigens or types may contribute to GPA. To address these questions, we performed a retrospective study in 85 GPA patients. We first investigated the humoral immune response against S. aureus by determining serum antibody levels against a comprehensive set of S. aureus antigens. Subsequently, the S. aureus isolates were genetically characterized to investigate whether specific S. aureus types colonize GPA patients.

Results

Low levels of anti-staphylococcal antibodies in GPA patients

Serum IgG levels against 59 S. aureus antigens were measured in 35 GPA patients (21 carriers, 14 non-carriers) and 18 healthy control (HC) individuals (10 carriers, 8 non-carriers) by bead-based Luminex flow cytometry. The overall antibody responses showed broad variability in both groups (Figure 1A). The highest median antibody titers were observed against several secreted proteins. In GPA patients, the IgG responses per antigen appeared overall lower than in HC, and this reached statistical significance for several surface proteins (ClfA, ClfB, FnbpA, and SdrE) and secreted proteins (Atl-2, CHIPS, Efb, Lipase, NUC, SCIN, SEN, SEO, SSL3 and TSST-1). For HC, multiple sera from different time points were measured, but serum IgG levels against S. aureus proteins did not change in time (data not shown). For GPA patients, two to three sera were included from the time of diagnosis, remission and/or relapse, but no differences were observed between the different disease states (data not shown). Despite the broad inter-individual variability, some clear differences were observed between S. aureus carriers and non-carriers in both patients and HC. As expected, overall higher responses were found in S. aureus carriers than non-carriers (Figure 1B). Amongst the S. aureus carriers, serum IgG levels against the surface proteins ClfA, ClfB and SdrE, and the secreted proteins EfB, Nuc, Pro-Atl, SEN, SEO, SSL3 and TSST-1, were lower in patients than in HC (Figure 1C) irrespective of the immunosuppressive and/or corticosteroid treatment of the patients (data not shown). Furthermore, we also measured total IgG in a subset of sera from patients and HC. This showed that the patient sera contained equal or even higher total IgG levels than HC (Table 1). Altogether, these findings show that GPA patients have lower levels of IgGs against many staphylococcal antigens than HC, irrespective of the patients' treatment.
Figure 1

IgG responses of GPA patients and HC to staphylococcal antigens.

Serum IgG levels against 59 S. aureus antigens were determined by bead-based Luminex flow cytometry in GPA patients, 21 S. aureus carriers (55 sera) and 14 non-carriers (29 sera), and HC, 10 S. aureus carriers (22 sera) and 8 non-carriers (20 sera). The S. aureus antigens comprised 10 surface proteins, 26 secreted proteins, 21 superantigens and superantigen-like proteins and 2 proteins of unknown function (indicated as others). (A) Serum IgG responses of all GPA patients (in blue) and HC (in red) to 59 S. aureus antigens. Depicted are the median with boxes (25% and 75%) and whiskers (10% and 90%) of all sera per group. (B) Serum IgG responses to S. aureus antigens that were different between S. aureus-carrying and non-carrying GPA patients or HC. For every indicated antigen higher responses were found in S. aureus carriers than non-carriers. Depicted are the individual responses and median. (C) Serum IgG responses to S. aureus antigens that were different between S. aureus-carrying GPA patients and S. aureus-carrying HC. Depicted are the individual responses and median. Statistical significances in A were tested using Mann Whitney-U test and in B and C using the Kruskal-Wallis test (with post-hoc Dunn's test). * p < 0.05, **p < 0.01, *** p < 0.001, and **** p < 0.0001.

Table 1

Clinical data of GPA patients and HC whose serum samples were included in the multiplex S. aureus antibody assay

GroupS. aureus carriershipNo. of subjectsNo. of seraNo. of male/femaleAge (years) mean ± SDNo. receiving vasculitis treatmenta/antibioticsbBVAS Median (range)Total IgG (g/L)c mean ± SD
GPACarrier21 11/1051.6 ± 16.3   
Diagnosis  14  0/214 (4–32)15.8 ± 5.9$
Remissiond  21  13/160 (0–2)11.0 ± 2.4
Relapsee  20  9/146 (3–16)10.5 ± 2.9
GPANon-carrier14 9/554.3 ± 17.4   
Diagnosis  13  4f/421 (8–28)10.7 ± 2.1
Remissionc  12  9/80 (0–0)8.5 ± 2.1
Relapsed  4  2/214.5 (11–19)10.1 ± 1.0
HCCarrier10224/633.6 ± 11.8*Nonen.a.11.3 ± 1.2
HCNon-carrier8201/740.1 ± 12.2Nonen.a.11.6 ± 1.2

aVasculitis treatment consisted of azathioprine, (methyl) prednisolone, methotrexate, cyclophosphamide or mycophenolate mofetil.

bAntibiotic treatment consisted of maintenance treatment with co-trimoxazole (ranging between 0.5–3 × 960 mg daily, oral intake), in one case a patient received flucloxacilline (3 × 250 mg daily, oral intake) and in one case a patient received augmentin (2 × 1200 mg daily, oral intake).

cLevels of total IgG were routinely measured on a BNII nephelometer (Siemens Healthcare) in respectively 12, 10, 9, 6, 10, 3, 13 and 7 sera of the different groups.

dRemission serum samples were taken from GPA patients in stable remission with minimal immunosuppression, defined as: no active disease for ≥12 months, no cyclophosphamide for ≥3 months, azathioprine (or methothrexate or mycophenolate mophetil) as maintenance therapy (≤100 mg/day) in combination with prednisolone ≤10 mg/day allowed, and co-trimoxazole allowed.

eRelapse serum samples were taken from GPA patients irrespective of their treatment. fVasculitis treatment of these patients consisting of (methyl) prednisolone in combination with cyclophosphamide had started respectively 2, 7, 10 and 14 days before the serum sample was taken. Abbreviations: BVAS = Birmingham Vasculitis Activity Score; n.a. = not applicable.

*p < 0.05 vs GPA carrier and GPA non-carrier with one-way ANOVA followed by Tukey's post-test.

$p < 0.05 vs GPA carriers remission and relapse, GPA non-carriers diagnosis and remission, and HC carriers with one-way ANOVA followed by Tukey's post-test.

Detection of antigen-encoding genes in S. aureus isolates from GPA patients

To determine whether there is a direct connection between IgG responses to particular S. aureus antigens and the bacterial production of these antigens, we assessed the presence of the corresponding genes in S. aureus isolates from 21 of the investigated patients (75 isolates) and 10 HC (18 isolates) (Supplementary Table 5) by DNA microarray-based genotyping. The genes for the surface proteins ClfA, ClB, FnbpA and the secreted nuclease were present in all isolates from patients and HC. Interestingly, the genes for the superantigens TSST-1, SEN and SEO were less frequently detected in patient than HC isolates (5% vs 44%, 24% vs 72%, and 24% vs 72%, respectively) corresponding to the lower IgG levels against these antigens in patients, while the gene for the superantigen SEB was only detected in patient isolates (33%) corresponding to the higher IgG levels against SEB in patients. Otherwise, the S. aureus isolates from patients and HC had, overall, a comparable gene repertoire. Therefore, the decreased IgG responses against particular proteins (e.g. ClfA, ClfB, FnbpA) in GPA patients cannot be attributed to a lower abundance of the corresponding genes in their S. aureus isolates.

The S. aureus population in GPA patients mirrors the general S. aureus population structure

The genetic diversity of the colonizing S. aureus isolates was determined using two complementary typing methods, namely spa-typing and multiple-locus variable number tandem repeat fingerprinting (MLVF)23. For this purpose, the S. aureus collection was extended to 210 isolates from 71 GPA patients. The single-locus spa-typing approach yielded 55 different spa-types, ranging in length between 3 (t026) and 14 (t328) repeats. Additionally, five novel spa-types were identified, and two isolates (Vas103 and Vas106) were not spa-typable. Thirty-one spa-types were represented by ≥2 isolates (184 isolates in total), while 24 spa-types were represented by single isolates. The most frequent spa-types were t064 (n = 46, 21 patients), t084 (n = 26, 16 patients), t091 (n = 19, 8 patients), t012 (n = 10, 7 patients) and t021 (n = 10, 7 patients), covering 52.4% of the investigated patient isolates. Intriguingly, the prevalence of four predominant spa-types showed a shift over time; t084 and t012 were solely found between 1990–2003, while t064 and t091 were predominantly found since 2000 (Figure 2A). Of the 58 patients who provided >1 S. aureus isolate, 39 carried isolates with different spa-types over time, whereas isolates from the 19 other patients showed the same spa-type over time. Analysis of the S. aureus population structure in GPA patients with the BURP algorithm revealed the respective spa clonal complexes (spa-CCs; Figure 2B)24. The 18 HC isolates yielded 12 different spa-types that partly overlapped with the spa-types of patient isolates (Supplementary Table 3).
Figure 2

Spa-types of the 210 S. aureus isolates from GPA patients presented as (A) the five most frequent identified spa-types displayed by year and number and (B) spa clonal complexes.

(A) The frequencies of the 5 predominant spa-types, i.e. t012 (dark blue), t084 (light blue), t064 (red), t091 (orange), t021 (white), and all other spa-types (black) found amongst the 210 S. aureus isolates from GPA patients are shown throughout the whole collection period (1990–2012). (B) The clustering of the 210 S. aureus isolates from GPA patients into clonal lineages was performed by BURP analysis. spa clonal complexes (spa-CCs) were composed of ≥2 related spa-types. A spa-type not clustered into any spa-CC was regarded as non-clonal (singleton). spa-types defined as founders of particular clusters are indicated in blue. The circle size is proportional to the number of isolates. The intensity of connecting lines indicates the evolutionary relationship. One hundred and forty nine isolates (71% of all isolates) were clustered in 5 spa-CCs (CC064, CC084, CC012, CC330/180 and CC062) and 4 groups without founder. Fifty isolates (24% of all isolates) comprising 17 spa-types (30% of all spa-types) were identified as singletons. Nine isolates (4% of all isolates) comprising two spa-types (t026 and t842, 4% of all spa-types) were excluded and two isolates (Vas103 and Vas106, 1% of all isolates) were not spa-typable.

Typing of the 210 patients' isolates by MLVF identified 95 different MLVF banding patterns. Fifty-one patterns were represented by one isolate, whereas 44 patterns were represented by ≥2 isolates. Notably, two MLVF patterns were represented by 18 and 27 isolates, respectively. The highest concordance (Adjusted Rand's Coefficient 0.671) between MLVF and spa-typing was found with a 66% similarity cut-off value, resulting in 30 clusters (Figure 3). Six clusters contained single isolates whereas 24 clusters contained ≥2 isolates. Four clusters contained ≥12 isolates (61 isolates [C17], 32 [C26], 18 [C16] and 12 [C3]) and were derived from 27, 21, 7, and 8 patients respectively. Of the 58 patients who provided >1 isolate, 33 carried S. aureus belonging to different MLVF clusters over time, whereas the remaining 25 patients carried S. aureus belonging to the same MLVF cluster. The isolates from 18 of the latter 25 patients also had the same spa-type. Altogether, the combined typing data suggest that the S. aureus population structure in GPA patients is highly diverse, and that it has changed over time.
Figure 3

MLVF dendrogram of the 210 S. aureus isolates from GPA patients.

An MLVF dendrogram of the 210 S. aureus isolates from GPA patients was generated by the UPGMA algorithm. Isolate clusters were delineated with a 66% similarity cut-off value, since this showed the highest concordance between MLVF and spa-typing (Adjusted Rand's Coefficient 0.671). Additionally to the 210 studied S. aureus isolates from GPA patients, also 22 control samples of the control isolate M2 were included in this delineation. The names of clusters are indicated at the right side of the dendrogram.

Relationship between the shift in spa-CCs over time and antibiotic resistance profiles

The resistances to 18 different antibiotics and the antibiotic resistance genotypes of all 210 S. aureus isolates from GPA patients are shown in Table 3. While these isolates were susceptible to most antibiotics, resistance to penicillin, co-trimoxazole and ciprofloxacin was observed for, respectively, 72.7%, 41.4%, and 26.7% of the isolates. Notably, the spa-CC064 and t091 isolates collected after 2000 showed increased resistance to co-trimoxazole and ciprofloxacin compared to spa-CCs/spa-types isolated before 2000. This increased resistance seems to coincide with the increased treatment of patients with co-trimoxazole (Figure 4). Accordingly, co-trimoxazole-resistant isolates were only obtained from patients treated with this antibiotic, and co-trimoxazole-resistance was not observed for HC isolates (Table 3).
Table 2

Clinical data of GPA patients whose S. aureus isolates were typed

 GPA patients (n = 71)
No. of males (%)40 (56.3%)
Age at inclusion, years, mean ± SD54.7 ± 15.2
Disease duration at inclusion, years, median (range)4.1 (0–19.9)a
No. with limited/generalized disease27/44
Follow-up time, years, median (range)11.6 (0.2–22.2)
No. of patients with relapse(s) after first isolate (%)40 (56.3%)
No. of relapses in relapsing patients, median (range)3 (1–13)
 S. aureus isolates (n = 210)
Collection period1990–2012
No. of obtained S. aureus isolates per patient: 113 patients
218 patients
315 patients
414 patients
58 patients
62 patients
81 patient
No. of isolates obtained during co-trimoxazole/other antibiotic treatment (%)115 (54.8%)/9 (4.3%)
No. of isolates obtained during vasculitis treatmentb (%)117 (55.7%)
No. of isolates obtained during quiescent/active disease (%)191 (91.0%)/19 (9.0%)
BVAS in active patients, median (range)4 (2–14)

aTwo patients were included at the time of diagnosis of the disease.

bAt the time of S. aureus sampling, 15 patients were treated with azathioprine only, 22 with prednisolone only, one with methotrexate only, 4 with cyclophosphamide only, 32 with azathioprine in combination with prednisolone, one with methotrexate in combination with prednisolone, 43 with cyclophosphamide in combination with prednisolone, and 9 patients with mycophenolate mofetil in combination with prednisolone. Abbreviations: BVAS = Birmingham Vasculitis Activity Score.

Table 3

Antibiotic resistance profiles of the S. aureus isolates from GPA patients and HC in relation to the dominant spa-CCs/types

spa-CC/typeAllspa-CC084spa-CC012spa-CC062spa-CC064t091OthersHC
No. of isolates (%)210a (100)37 (17.6)28 (13.3)13 (6.2)53 (25.2)19 (9.0)60 (28.6)18 (100)
Year of isolation, mean ± SDND1995 ± 31996 ± 52003 ± 72005 ± 52007 ± 41999 ± 72008 ± 1.6
Chloramphenicol1.50006C000
Ciprofloxacin26.7400941100
Clindamycin (const.)6.10409E11E7E10
Co-trimoxazole41.43011D23d9484D7d0
Erythromycin10.10442M & MP13E16E OR M7E16
Fosfomycin0.50400000
Fusidic acid0.50044f02F0
Gentamicin00000000
Kanamycin00000000
Linezolid0.50002C000
Mupirocin14.2011MR021mr74MR00
Oxacillin00000000
Penicillin72.785BL86BL42BL96BL21BL63BL72
Rifampicin00000000
Teicoplanin00000000
Tetracycline8.615t442T13406T10
Tobramycin3.1000003.4A0
Vancomycin00000000

aFor 197 S. aureus isolates the antibiotic resistance profile to 18 different antibiotics was determined using the VITEK2 system, and for one isolate using the standard disk diffusion assay. Twelve S. aureus isolates grew neither in the VITEK2 system nor in the standard disk diffusion assay; these isolates were thymidine-dependent, resulting in co-trimoxazole resistance. Numbers are percentages. The presence of antibiotic resistance genes in all 210 S. aureus isolates was determined by the DNA microarray system (Alere Technologies GmbH, Jena, Germany) and is indicated with letters. Abbreviations of the resistance genes: BL = β-lactamase, A = aadD, D = dfrA, E = ermC (& ermB), M = mrsA, MP = mpbBM, C = cat, T = tetK, F = Q6GD50, MR = mupR. Capital letters indicate that in nearly all isolates (>95%) the observed resistance phenotype is explained by the presence of the resistance gene. Small letters indicate that only in a fraction (<50%) of the isolates the resistance phenotype is explained by the resistance gene. ND = not determined.

Figure 4

Co-trimoxazole treatment and resistance over time.

The percentage of patients treated with co-trimoxazole at the time of S. aureus isolation in each specific period is shown in black bars. The percentage of co-trimoxazole resistant S. aureus isolates, determined with VITEK2 or disk diffusion, is shown in white bars. Some adjacent years of S. aureus collection were taken together when the single years contained only few S. aureus isolates. On top of the bars, the numbers of S. aureus isolates within that period are shown. Over time, an almost parallel increase was observed in the percentage of patients treated with co-trimoxazole at the time of S. aureus isolation and the percentage of co-trimoxazole resistant S. aureus isolates (Mann Whitney U test: p = 9 × 10−9 and p = 3 × 10−12 respectively).

Discussion

Although S. aureus carriage has been linked to relapses in GPA for many years, it had yet to be determined to which extent different S. aureus antigens or types could contribute to GPA. The present study was therefore undertaken to investigate the humoral immune responses of GPA patients against S. aureus antigens in relation to the genetic diversity of their S. aureus isolates. For this purpose, we studied S. aureus antigen-specific serum IgG levels in a large cohort of GPA patients, who were monitored for over 20 years at our hospital, in combination with extensive genotyping of their S. aureus isolates. Bead-based Luminex flow cytometry of 59 S. aureus antigens revealed that GPA patients had circulating antibodies against many staphylococcal antigens and that antibody levels in individual patients were constant over time, irrespective of their disease state. Patients carrying S. aureus had overall higher anti-staphylococcal IgG levels than patients not carrying S. aureus, confirming previous observations25. The exact role of anti-staphylococcal antibodies is still debated. On the one hand, they could reflect the properties of the colonizing S. aureus type and/or infection episodes while, on the other hand, they could protect against colonization and/or infection. Persistent carriers of S. aureus have an increased risk of developing staphylococcal infections, which are in 80% of the cases caused by the endogenous strain1626. In spite of this, persistent carriers have a lower risk of death by bacteremia compared to non-carriers27. This reduced risk could be the consequence of increased levels of protective antibodies against S. aureus that may accumulate due to long-term exposure to the colonizing strain(s)2528. Unexpectedly, all GPA patients, irrespective of treatment with corticosteroids and/or immunosuppressives, had overall lower levels of anti-staphylococcal IgG than HC, while their total IgG levels were comparable. Moreover, we have previously shown that antibody responses following influenza vaccination in GPA patients and HC are similar, suggesting that the S. aureus-specific IgG response of GPA patients is aberrant29. The exact causes for the lower anti-staphylococcal IgG levels in GPA patients are yet unknown. Most likely, this relates to the S. aureus-specific immune response in GPA patients, since all patient isolates contained the genes for important host colonization factors, like ClfA, ClfB and FnbpA, against which their hosts showed lower IgG levels than HCs. To explore the diversity of S. aureus carried by GPA patients, a large number of isolates sampled between 1990 and 2012 was characterized by spa-typing and MLVF. This revealed 55 different spa-types, with 5 predominant spa-types covering more than 50% of the isolates. The subsequent MLVF analysis revealed a considerable diversity with 95 different banding patterns. A comparison of the spa-types from the present collection with the Ridom Spa Server (October 2014) comprising 13881 different spa-types submitted by 107 countries with isolation dates from 2003 onwards, revealed that four of the predominant spa-types of our patient isolates are amongst the 20 most common spa-types. Additionally, a recent study on the diversity of 206 methicillin-resistant S. aureus isolates collected at our hospital between 2006 and 2012 revealed a similar diversity (107 MLVF banding patterns, 66 spa-types) as observed for our GPA isolates30. Taken together, these observations imply that the present GPA S. aureus collection mirrors the general S. aureus population structure after 2003. While the Ridom Spa Server includes S. aureus typing results for different patient populations, other studies focused on particular diseases associated with increased S. aureus carriage rates, such as epidermolysis bullosa (EB) and cystic fibrosis (CF). A recent study from our hospital revealed that S. aureus isolates from EB patients were highly diverse and that these patients carried different types that fluctuated over time3132. Surprisingly, the spa-types identified in the EB patient population did not overlap with the spa-types from the present GPA collection. A German multicenter study investigating the genetic diversity of S. aureus isolates from 195 CF patients identified 269 different spa-types among ~4000 isolates collected between 2008 and 2011 (ECCMID 2014 Abstract No. eP166). Two of the four most prevalent spa-types, t084 and t091, overlapped with the dominant spa-types in the present collection, underscoring the dominancy of these spa-types during the past decade. In the present study, we have for the first time correlated spa-CCs/types with antibiotic resistance profiles. Although the overall antibiotic resistance of the patient isolates was very low, the abundance of co-trimoxazole-resistant isolates was higher amongst the more recent isolates, coinciding with an increase in co-trimoxazole treatment. This suggests that prolonged co-trimoxazole treatment either induced or selected for co-trimoxazole resistance. Interestingly, ciprofloxacin resistance was almost solely associated with spa-CC064 and mupirocin resistance with spa-type t091, two spa-CCs/types that were predominant in the later years of isolation. These associations between years of isolation, spa-types, antibiotics resistance and antibiotic therapy are highly relevant not only in relation to GPA patient treatment and the prevention of emerging antibiotic resistance, but also for other S. aureus infections. In addition, the abundance of identified co-trimoxazole-resistant S. aureus isolates warrants further investigations on the efficacy of prolonged co-trimoxazole treatment in GPA patients. Superantigens, like TSST-1, cause non-specific activation of T cells resulting in polyclonal T cell proliferation and massive cytokine release33. Previous studies have shown that GPA patients carrying tst-1-positive S. aureus isolates have an increased risk for disease relapses15. Although the present study revealed only 23/210 (10.1%) tst-1-positive S. aureus isolates, all GPA patients, both carriers and non-carriers, had high IgG levels against TSST-1. This suggests that all patients encountered tst-1-positive S. aureus strains during their life. Potential associations between S. aureus and other autoimmune diseases, namely rheumatoid arthritis (RA) and multiple sclerosis (MS), have previously been investigated. RA patients were shown to carry different S. aureus types compared to HC and had higher IgG levels against TSST-134. More recently, relapsing MS patients were shown to carry S. aureus isolates positive for the SAg gene sea more frequently than non-relapsing MS patients35. However, in the present study no apparent associations between clinical data of GPA patients and particular S. aureus types were found. In conclusion, the present study investigated for the first time a large cohort of GPA patients and their S. aureus isolates over an extended time period. On the host side, we show that GPA patients have overall lower anti-staphylococcal IgG responses than HC. On the pathogen side, we show that GPA patients carry S. aureus types that are widely represented amongst the general S. aureus population. We therefore conclude that GPA is not associated with a particular S. aureus genotype, but rather with a lower ability of GPA patients to mount potentially protective antibody responses to S. aureus, despite their long-term exposure to this pathogen. Notably, the fact that we do not find a particular S. aureus type associated with GPA does not exclude a role for S. aureus carriage or the expression levels of particular S. aureus virulence factors in the GPA disease pathogenesis. We consider our findings important since they may lead to a full definition of the role of S. aureus in GPA. Accordingly, we believe that this lead will be relevant to the research community that investigates the role of bacterial pathogens in the onset and relapse of autoimmune diseases, and the clinicians who treat patients with such pathogen-related autoimmune diseases in general and GPA in particular.

Methods

GPA patients and HC

This retrospective study included 85 GPA patients (71 nasal S. aureus carriers and 14 non-carriers) and 18 HC (10 nasal S. aureus carriers and 8 non-carriers). All patients were PR3-ANCA positive, fulfilled the Chapel Hill Consensus Conference definitions for the diagnosis of GPA and regularly visited the University Medical Center Groningen (UMCG, The Netherlands)36. The patients were selected based on availability of stored S. aureus isolates and/or serum samples, but formed a representative cohort of all GPA patients from our hospital. From 21 S. aureus-carrying GPA patients and all 14 non-carriers serum samples from two to three different time points (diagnosis, remission, relapse) were included in the multiplex S. aureus antibody assay, as well as previously collected and described sera from the 18 HC2537. From each HC at least two sera from different time points were included. Clinical data of the patients and HC, whose sera were used, are summarized in Table 1 and detailed in Supplementary Table 1. Clinical characteristics and information on the respective S. aureus isolates included in DNA typing from all S. aureus-carrying patients and HC are summarized in Table 2 and detailed in Supplementary Tables 2 and 3. This study was approved by the Medical Ethics Committee of the UMCG and conducted in accordance with the guidelines of the Declaration of Helsinki. Written informed consent was obtained from all patients.

Multiplex S. aureus antibody assay

The relative amounts of serum IgGs against 59 S. aureus antigens were determined by bead-based Luminex flow cytometry (xMAP®, Luminex Corporation, Austin, Texas, USA) as previously described (Supplementary Table 4)2538.

Bacterial isolates

From 71 GPA patients, a total of 210 S. aureus nasal isolates (1–8 per patient, median 3) with isolation dates between 1990 and 2012 were included (Supplementary Table 3). Seventy-five of these isolates belonged to 21 patients whose anti-staphylococcal serum IgG levels were assayed. In addition, 18 S. aureus isolates (1–3 per HC, median 2) from the previously described HC with isolation dates between 2007 and 2012 were included as controls (Supplementary Table 3)2537.

S. aureus DNA typing

spa-typing and MLVF were performed as previously described2339. To determine the clonal relatedness of the S. aureus population, the based upon repeat patterns (BURP) algorithm was applied (Ridom StaphType software 2.2.1)24.

Antibiotic susceptibility testing

Antibiotic susceptibility was determined using the VITEK 2 system (bioMérieux, Marcy l'Etoile, France) with AST P633 cards, according to the manufacturer's protocol. The VITEK 2 minimum inhibitory concentration (MIC) results were interpreted using the VITEK 2 Advanced Expert System following EUCAST guidelines (www.eucast.org).

DNA microarray-based genotyping

The presence of genes for staphylococcal virulence factors or antibiotic resistance in S. aureus isolates from patients and HC was determined with the Clondiag S. aureus Genotyping Kit 2.0 following the manufacturer's instructions (Alere Technologies GmbH, Jena, Germany)4041.

Statistical analyses

Statistical analyses were performed with GraphPad Prism (Version 6, La Jolla, California) or SPSS 20 (Chicago, USA). Differences between groups were tested for statistical significance using one-way ANOVA in case of a parametric variable and Mann-Whitney-U or the Kruskal-Wallis test in case of a non-parametric variable. A two-sided p value < 0.05 was considered to be statistically significant. Parametric variables are given as means ± SD. Non-parametric variables are given as median with range.
  41 in total

1.  Typing of methicillin-resistant Staphylococcus aureus in a university hospital setting by using novel software for spa repeat determination and database management.

Authors:  Dag Harmsen; Heike Claus; Wolfgang Witte; Jörg Rothgänger; Hermann Claus; Doris Turnwald; Ulrich Vogel
Journal:  J Clin Microbiol       Date:  2003-12       Impact factor: 5.948

2.  Chronic crusting, nasal carriage of Staphylococcus aureus and relapse rate in pulmonary Wegener's granulomatosis.

Authors:  K Zycinska; K A Wardyn; T M Zielonka; U Demkow; M S Traburzynski
Journal:  J Physiol Pharmacol       Date:  2008-12       Impact factor: 3.011

Review 3.  Pathogenesis of ANCA-associated vasculitides.

Authors:  Cees G M Kallenberg
Journal:  Ann Rheum Dis       Date:  2011-03       Impact factor: 19.103

Review 4.  The role of nasal carriage in Staphylococcus aureus infections.

Authors:  Heiman F L Wertheim; Damian C Melles; Margreet C Vos; Willem van Leeuwen; Alex van Belkum; Henri A Verbrugh; Jan L Nouwen
Journal:  Lancet Infect Dis       Date:  2005-12       Impact factor: 25.071

5.  Pulmonary infection in Wegener granulomatosis and idiopathic pulmonary fibrosis.

Authors:  A G Richter; R A Stockley; L Harper; D R Thickett
Journal:  Thorax       Date:  2009-04-08       Impact factor: 9.139

6.  Assignment of Staphylococcus aureus isolates to clonal complexes based on microarray analysis and pattern recognition.

Authors:  Stefan Monecke; Peter Slickers; Ralf Ehricht
Journal:  FEMS Immunol Med Microbiol       Date:  2008-05-27

7.  Microfluidic-chip-based multiple-locus variable-number tandem-repeat fingerprinting with new primer sets for methicillin-resistant Staphylococcus aureus.

Authors:  Artur J Sabat; Monika A Chlebowicz; Hajo Grundmann; Jan P Arends; Greetje Kampinga; Nico E L Meessen; Alexander W Friedrich; Jan Maarten van Dijl
Journal:  J Clin Microbiol       Date:  2012-05-09       Impact factor: 5.948

8.  Topography of distinct Staphylococcus aureus types in chronic wounds of patients with epidermolysis bullosa.

Authors:  Magdalena M van der Kooi-Pol; Mehdi Sadaghian Sadabad; José C Duipmans; Artur J Sabat; Tim Stobernack; Till F Omansen; Gerlinde N Westerhout-Pluister; Marcel F Jonkman; Hermie J M Harmsen; Jan Maarten van Dijl
Journal:  PLoS One       Date:  2013-06-25       Impact factor: 3.240

Review 9.  Staphylococcus aureus and Wegener's granulomatosis.

Authors:  Eliane R Popa; Coen A Stegeman; Cees G M Kallenberg; Jan Willem Cohen Tervaert
Journal:  Arthritis Res       Date:  2001-10-26

Review 10.  Secreted virulence factor comparison between methicillin-resistant and methicillin-sensitive Staphylococcus aureus, and its relevance to atopic dermatitis.

Authors:  Patrick M Schlievert; Kristi L Strandberg; Ying-Chi Lin; Marnie L Peterson; Donald Y M Leung
Journal:  J Allergy Clin Immunol       Date:  2010-01       Impact factor: 10.793

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  11 in total

1.  Clinical characteristics of patients with vasculitis positive for anti-neutrophil cytoplasmic antibody targeting both proteinase 3 and myeloperoxidase: a retrospective study.

Authors:  Sun Moon Kim; Song-Yi Choi; Seon Young Kim; Jinhyun Kim
Journal:  Rheumatol Int       Date:  2019-09-24       Impact factor: 2.631

2.  Anti-staphylococcal responses and their relationship with HLA-DR-DQ polymorphism in granulomatosis with polyangiitis: a preliminary evidence of association with disease outcome.

Authors:  Lekha Rani; Jagdeep Singh; Aman Sharma; Heera Singh; Indu Verma; Naresh K Panda; Ranjana W Minz
Journal:  Clin Exp Med       Date:  2022-07-26       Impact factor: 5.057

3.  Impact of IsaA Gene Disruption: Decreasing Staphylococcal Biofilm and Alteration of Transcriptomic and Proteomic Profiles.

Authors:  Pei Yee Ma; Chun Wie Chong; Leslie Thian Lung Than; Anita Binti Sulong; Ket Li Ho; Vasantha Kumari Neela; Zamberi Sekawi; Yun Khoon Liew
Journal:  Microorganisms       Date:  2022-05-29

Review 4.  ANCA-associated vasculitis - clinical utility of using ANCA specificity to classify patients.

Authors:  Divi Cornec; Emilie Cornec-Le Gall; Fernando C Fervenza; Ulrich Specks
Journal:  Nat Rev Rheumatol       Date:  2016-07-28       Impact factor: 20.543

Review 5.  The microbiome in autoimmune rheumatic disease.

Authors:  Maximilian F Konig
Journal:  Best Pract Res Clin Rheumatol       Date:  2020-02-07       Impact factor: 4.098

6.  Differential epitope recognition in the immunodominant staphylococcal antigen A of Staphylococcus aureus by mouse versus human IgG antibodies.

Authors:  Dennis G A M Koedijk; Francisco Romero Pastrana; Hedzer Hoekstra; Sanne van den Berg; Jaap Willem Back; Carolien Kerstholt; Rianne C Prins; Irma A J M Bakker-Woudenberg; Jan Maarten van Dijl; Girbe Buist
Journal:  Sci Rep       Date:  2017-08-15       Impact factor: 4.379

Review 7.  Omics Approaches for the Study of Adaptive Immunity to Staphylococcus aureus and the Selection of Vaccine Candidates.

Authors:  Silva Holtfreter; Julia Kolata; Sebastian Stentzel; Stephanie Bauerfeind; Frank Schmidt; Nandakumar Sundaramoorthy; Barbara M Bröker
Journal:  Proteomes       Date:  2016-03-07

8.  A human monoclonal antibody that specifically binds and inhibits the staphylococcal complement inhibitor protein SCIN.

Authors:  Hedzer Hoekstra; Francisco Romero Pastrana; Hendrik P J Bonarius; Kok P M van Kessel; Goffe S Elsinga; Neeltje Kooi; Herman Groen; Jan Maarten van Dijl; Girbe Buist
Journal:  Virulence       Date:  2017-05-08       Impact factor: 5.882

9.  Genetic loci of Staphylococcus aureus associated with anti-neutrophil cytoplasmic autoantibody (ANCA)-associated vasculitides.

Authors:  Corinna Glasner; Marcus C de Goffau; Mirjan M van Timmeren; Mirja L Schulze; Benita Jansen; Mehri Tavakol; Willem J B van Wamel; Coen A Stegeman; Cees G M Kallenberg; Jan P Arends; John W Rossen; Peter Heeringa; Jan Maarten van Dijl
Journal:  Sci Rep       Date:  2017-09-22       Impact factor: 4.379

10.  The composition and functional protein subsystems of the human nasal microbiome in granulomatosis with polyangiitis: a pilot study.

Authors:  Josef Wagner; Ewan M Harrison; Marcos Martinez Del Pero; Beth Blane; Gert Mayer; Johannes Leierer; Seerapani Gopaluni; Mark A Holmes; Julian Parkhill; Sharon J Peacock; David R W Jayne; Andreas Kronbichler
Journal:  Microbiome       Date:  2019-10-22       Impact factor: 14.650

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