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. 2021 Jun 1;11:11510. doi: 10.1038/s41598-021-91055-z

BAFF, APRIL and BAFFR on the pathogenesis of Immunoglobulin-A vasculitis

Diana Prieto-Peña 1,#, Fernanda Genre 1,#, Sara Remuzgo-Martínez 1,#, Verónica Pulito-Cueto 1, Belén Atienza-Mateo 1,2, Javier Llorca 3, Belén Sevilla-Pérez 4, Norberto Ortego-Centeno 5, Leticia Lera-Gómez 1, María Teresa Leonardo 6, Ana Peñalba 6, Javier Narváez 7, Luis Martín-Penagos 8, Emilio Rodrigo 8, José A Miranda-Filloy 9, Luis Caminal-Montero 10, Paz Collado 11, Javier Sánchez Pérez 12, Diego de Argila 12, Esteban Rubio 13, Manuel León Luque 13, Juan María Blanco-Madrigal 14, Eva Galíndez-Agirregoikoa 14, Oreste Gualillo 15, Javier Martín 16, Santos Castañeda 17, Ricardo Blanco 1, Miguel A González-Gay 1,18,19, Raquel López-Mejías 1,
PMCID: PMC8169776  PMID: 34075170

Abstract

BAFF, APRIL and BAFF-R are key proteins involved in the development of B-lymphocytes and autoimmunity. Additionally, BAFF, APRIL and BAFFR polymorphisms were associated with immune-mediated conditions, being BAFF GCTGT>A a shared insertion-deletion genetic variant for several autoimmune diseases. Accordingly, we assessed whether BAFF, APRIL and BAFFR represent novel genetic risk factors for Immunoglobulin-A vasculitis (IgAV), a predominantly B-lymphocyte inflammatory condition. BAFF rs374039502, which colocalizes with BAFF GCTGT>A, and two tag variants within APRIL (rs11552708 and rs6608) and BAFFR (rs7290134 and rs77874543) were genotyped in 386 Caucasian IgAV patients and 806 matched healthy controls. No genotypes or alleles differences were observed between IgAV patients and controls when BAFF, APRIL and BAFFR variants were analysed independently. Likewise, no statistically significant differences were found in the genotype and allele frequencies of BAFF, APRIL or BAFFR when IgAV patients were stratified according to the age at disease onset or to the presence/absence of gastrointestinal (GI) or renal manifestations. Similar results were disclosed when APRIL and BAFFR haplotypes were compared between IgAV patients and controls and between IgAV patients stratified according to the clinical characteristics mentioned above. Our results suggest that BAFF, APRIL and BAFFR do not contribute to the genetic network underlying IgAV.

Subject terms: Rheumatic diseases, Vasculitis syndromes

Introduction

B cell-activating factor (BAFF, also known as B-lymphocyte stimulator or BlyS) and a proliferation-inducing ligand (APRIL) are cytokines expressed by antigen-presenting cells that play a crucial role in the development of B-lymphocytes14. BAFF receptor (BAFF-R) is the major mediator of BAFF-dependent costimulatory responses in circulating peripheral B-lymphocytes5, essential for its survival and maturation. Several pieces of evidence revealed that BAFF, APRIL and BAFF-R are molecules also involved in autoimmunity68. In this regard, an influence of BAFF, APRIL and BAFFR polymorphisms was observed on several immune-mediated conditions911, being BAFF GCTGT>A a shared insertion-deletion variant for multiple sclerosis, systemic lupus erythematosus (SLE), and rheumatoid arthritis9,12.

Immunoglobulin-A vasculitis (IgAV), formerly called Henoch-Schönlein purpura (HSP), is an inflammatory small-sized blood vessel disease, more common in children and rarer but more serious in adults1315. The classic clinical triad of IgAV consists of palpable purpura, arthralgias/arthritis and gastrointestinal (GI) tract involvement. Renal manifestations are also common in affected patients and constitutes the most serious complication of the disease1618. IgA1-predominant immune deposits in the vessel walls are the defining pathophysiologic feature of IgAV13, supporting the hypothesis that this vasculitis is predominantly a B-lymphocyte mediated disease. Furthermore, IgAV has a multifactorial aetiology in which genes play a relevant role in both the predisposition and severity of the disease1921.

Taken all these considerations into account, this study aimed to determine, for the first time, whether BAFF, APRIL and BAFFR represents novel genetic risk factors for the pathogenesis of IgAV. For this purpose, BAFF rs374039502 polymorphism, which colocalizes with the BAFF GCTGT>A insertion-deletion variant mentioned above, and two tag polymorphisms within APRIL (rs11552708 and rs6608) and BAFFR (rs7290134 and rs77874543), which cover most of the variability of both genes, were genotyped in the largest series of Caucasian patients diagnosed with IgAV ever assessed for genetic studies.

Patients and methods

Study population

A series of 386 unrelated Spanish patients of European ancestry who fulfilled both Michel et al.22 and the American College of Rheumatology23 classification criteria for IgAV-HSP were included in the present study. Centres involved in the recruitment of these patients included Hospital Universitario Marqués de Valdecilla (Santander), Hospital Universitario San Cecilio (Granada), Hospital Universitario de Bellvitge (Barcelona), Hospital Universitario Lucus Augusti (Lugo), Hospital Universitario Central de Asturias (Oviedo), Hospital Universitario Severo Ochoa and Hospital Universitario de La Princesa (Madrid), Hospital Universitario Virgen del Rocío (Sevilla) and Hospital Universitario de Basurto (Bilbao). Information on the main clinical features of these patients is shown in Table 1. For GI manifestations, bowel angina was considered present if there was diffuse abdominal pain that worsened after meals, or bowel ischemia usually with bloody diarrhoea. GI bleeding was defined as the presence of melena, haematochezia, or a positive test for occult blood in the stool. Renal manifestations were defined to be present if at least one of the following findings was observed: haematuria, proteinuria, or nephrotic syndrome at any time over the clinical course of the disease and/or renal sequelae (persistent renal involvement) at last follow-up. With regard to treatment, glucocorticoids were used in patients with severe GI and/or renal manifestations. Mycophenolate or azathioprine were added to glucocorticoids in refractory patients. Cyclophosphamide and plasma exchange were required in two patients due to life-threatening manifestations.

Table 1.

Main clinical features of the 386 patients with IgAV included in the study.

% (n)
Children (age ≤ 20 years)/adults (age > 20 years) (n) 309/77
Percentage of females 47.9
Age at disease onset (years, median [IQR]) 7 [5–19]
Duration of follow-up (years, median [IQR]) 1 [1–3]
Palpable purpura and/or maculopapular rash 100 (386)
Arthralgia and/or arthritis 54.9 (212)
GI manifestations (if “a” and/or “b”) 53.6 (207)
a) Bowel angina 50.8 (196)
b) GI bleeding 17.1 (66)
Renal manifestations (if any of the following characteristics) 37.0 (143)
a) Haematuriaa 35.5 (137)
b) Proteinuriaa 33.7 (130)
c) Nephrotic syndromea 5.7 (22)
d) Renal sequelae (persistent renal involvement)b 6.7 (26)

IgAV: IgA vasculitis; IQR: interquartile range; GI: gastrointestinal.

aAt any time over the clinical course of the disease.

bAt last follow-up.

In addition, a set of 806 sex and ethnically matched healthy controls without history of cutaneous vasculitis or any other autoimmune disease, constituted by blood donors from Hospital Universitario Marqués de Valdecilla (Santander) and National DNA Bank Repository (Salamanca), was also included in this study.

For experiments involving humans and the use of human blood samples, all the methods were carried out in accordance with the approved guidelines and regulations, according to the Declaration of Helsinki. All experimental protocols were approved by the Ethics Committees of Cantabria (for Hospital Universitario Marqués de Valdecilla, Santander), Ethics Committee of clinical research of Granada (for Hospital Universitario San Cecilio, Granada), Ethics Committee of clinical research of Barcelona (for Hospital Universitario de Bellvitge, Barcelona), Ethics Committee of clinical research of Galicia (for Hospital Universitario Lucus Augusti, Lugo), Ethics Committee of clinical research of Asturias (for Hospital Universitario Central de Asturias, Oviedo), Ethics Committee of clinical research of Madrid (for Hospital Universitario Severo Ochoa and Hospital Universitario de la Princesa, Madrid), Ethics Committee of clinical research of Sevilla (for Hospital Universitario Virgen del Rocío, Sevilla) and Ethics Committee of clinical research of Euskadi (for Hospital Universitario de Basurto, Bilbao). Informed written consent was obtained from all subjects.

Single nucleotide polymorphisms selection and genotyping methods

Genomic deoxyribonucleic acid (DNA) from all the individuals was extracted from peripheral blood using REALPURE `SSS´ kit (RBME04, REAL, Durviz S.L., Spain).

Patients with IgAV and healthy controls were genotyped for the BAFF rs374039502 single nucleotide polymorphism using a custom TaqMan assay (ID: AH0JGPG) with the following primers: forward 5′-GACAGCATCCCGGTTTTCATTTTAT-3′ and reverse 5′-TGTAAACTGTTAAATGAAGTAAACAGTTAAAACTGA-3′. In addition, all individuals recruited in this study were genotyped for two tag genetic variants within APRIL (rs11552708 and rs6608) and two tag polymorphisms within BAFFR (rs7290134 and rs77874543), using predesigned TaqMan assays (C_25630192_20 for rs11552708, C_247220_20 for rs6608, C_2189968_1_ for rs7290134 and C_102764384_20 for rs77874543). Tagging of APRIL and BAFFR was performed using data from the 1000 Genomes Project (http://www.internationalgenome.org/) and the Haploview v4.2 software (http://broad.mit.edu/mpg/haploview), and considering the r2 threshold set at 0.8 and minimum minor allele frequency at 0.05. The linkage disequilibrium pattern of the APRIL and BAFFR polymorphisms analysed in this study is shown as Supplementary Figure 1 and Supplementary Figure 2 online, respectively.

Genotyping was performed in a QuantStudio™ 7 Flex Real-Time polymerase chain reaction system, according to the conditions recommended by the manufacturer (Applied Biosystems, Foster City, CA, USA).

Negative controls and duplicate samples were included to check the accuracy of the genotyping.

Statistical analyses

All genotype data were checked for deviation from Hardy–Weinberg equilibrium (HWE).

Differences in genotype and allele frequencies of BAFF, APRIL and BAFFR as well as differences in haplotype frequencies of APRIL and BAFFR were evaluated between patients with IgAV and healthy controls and between patients with IgAV stratified according to specific clinical characteristics of the disease (age at disease onset or presence/absence of GI or renal manifestations).

First, comparisons were performed considering each BAFF, APRIL and BAFFR polymorphism independently. Both genotype and allele frequencies were calculated and compared between the groups mentioned above by chi-square or Fisher tests when necessary (expected values below 5). Strength of association was estimated using odds ratios (OR) and 95% confidence intervals (CI).

Subsequently, allelic combinations (haplotypes) of both APRIL and BAFFR polymorphisms were carried out. Haplotype frequencies were calculated by the Haploview v4.2 software (http://broad.mit.edu/mpg/haploview) and then compared between the groups mentioned above by chi-square or Fisher tests. Strength of association was estimated by OR and 95% CI.

P-values lower than 0.05 were considered as statistically significant.

All analyses were performed with the STATA statistical software 12/SE (Stata Corp., College Station, TX, USA).

Results

The genotyping success rate for each polymorphism evaluated in this study was 99.4% for BAFF rs374039502 and APRIL rs11552708, 99.6% for APRIL rs6608, 99.7% for BAFFR rs7290134 and 99.3% for BAFFR rs77874543.

No evidence of departure from HWE was observed at the 5% significance level.

Genotype and allele frequencies of BAFF, APRIL and BAFFR variants were similar to those reported for populations of European origin in the 1000 Genomes Project (http://www.internationalgenome.org/).

Differences in genotype and allele frequencies of BAFF, APRIL and BAFFR between patients with IgAV and healthy controls

Firstly, we compared genotype and allele frequencies of each BAFF, APRIL and BAFFR variant assessed independently between patients with IgAV and healthy controls.

As shown in Table 2, no statistically significant differences in BAFF, APRIL and BAFFR frequencies were disclosed when patients with IgAV were compared to healthy controls.

Table 2.

Genotype and allele frequencies of BAFF, APRIL and BAFFR in patients with IgAV and healthy controls.

SNP Locus Change Samples set Genotypes, % (n) Alleles, % (n)
1/2 1/1 1/2 2/2 1 2
rs374039502 BAFF T/A IgAV patients 91.9 (353) 8.1 (31) 0 95.9 (737) 4.1 (31)
Healthy controls 91.5 (733) 8.1 (65) 0.4 (3) 95.6 (1531) 4.4 (71)
rs11552708 APRIL G/A IgAV patients 78.1 (299) 20.6 (79) 1.3 (5) 88.4 (677) 11.6 (89)
Healthy controls 77.9 (625) 20.4 (164) 1.6 (13) 88.1 (1414) 11.9 (190)
rs6608 APRIL C/T IgAV patients 71.9 (277) 26.0 (100) 2.1 (8) 84.9 (654) 15.1 (116)
Healthy controls 70.0 (561) 27.6 (221) 2.5 (20) 83.7 (1343) 16.3 (261)
rs7290134 BAFFR A/G IgAV patients 58.0 (224) 36.3 (140) 5.7 (22) 76.2 (588) 23.8 (184)
Healthy controls 57.2 (459) 36.4 (292) 6.5 (52) 75.3 (1210) 24.6 (396)
rs77874543 BAFFR G/C IgAV patients 82.7 (316) 16.0 (61) 1.3 (5) 90.7 (693) 9.3 (71)
Healthy controls 83.0 (666) 16.6 (133) 0.4 (3) 91.3 (1465) 8.7 (139)

IgAV: IgA vasculitis; SNP: single nucleotide polymorphism.

No statistically significant differences in BAFF, APRIL and BAFFR genotype and allele frequencies were disclosed when patients with IgAV were compared to healthy controls (p ≥ 0.05 in all the cases).

Differences in genotype and allele frequencies of BAFF, APRIL and BAFFR between patients with IgAV stratified according to specific clinical characteristics of the disease

Subsequently, we compared genotype and allele frequencies of each BAFF, APRIL and BAFFR variant assessed independently between patients with IgAV stratified according to specific clinical characteristics of the disease.

Since IgAV is often a benign and self-limited pathology in children and a more severe condition in adults, we analysed potential differences in genotype and allele frequencies of BAFF, APRIL and BAFFR between patients with IgAV stratified according to the age at disease onset. However, no statistically significant differences in BAFF, APRIL and BAFFR frequencies were detected when children (age ≤ 20 years) were compared to adults (age > 20 years) (Table 3).

Table 3.

Genotype and allele frequencies of BAFF, APRIL and BAFFR in patients with IgAV stratified according to specific clinical characteristics of the disease.

Polymorphism Children (Age ≤ 20 years) GI manifestations Renal manifestations
Yes
(n = 309)
No
(n = 77)
Yes
(n = 207)
No
(n = 179)
Yes
(n = 143)
No
(n = 243)
BAFF rs374039502
TT 92.2 (284) 90.8 (69) 92.2 (190) 91.6 (163) 90.1 (128) 93.0 (225)
TA 7.8 (24) 9.2 (7) 7.8 (16) 8.4 (15) 9.9 (14) 7.0 (17)
AA 0 0 0 0 0 0
T 96.1 (592) 95.4 (145) 96.1 (396) 95.8 (341) 95.1 (270) 96.5 (467)
A 3.9 (24) 4.6 (7) 3.9 (16) 4.2 (15) 4.9 (14) 3.5 (17)
APRIL rs11552708
GG 78.1 (239) 77.9 (60) 76.7 (158) 79.7 (141) 81.1 (116) 76.3 (183)
GA 20.3 (62) 22.1 (17) 22.3 (46) 18.6 (33) 18.9 (27) 21.7 (52)
AA 1.6 (5) 0 1.0 (2) 1.7 (3) 0 2.1 (5)
G 88.2 (540) 89.0 (137) 87.9 (362) 89.0 (315) 90.6 (259) 87.1 (418)
A 11.8 (72) 11.0 (17) 12.1 (50) 11.0 (39) 9.4 (27) 12.9 (62)
APRIL rs6608
CC 70.8 (218) 76.6 (59) 69.6 (144) 74.7 (133) 75.5 (108) 69.8 (169)
CT 26.6 (82) 23.4 (18) 28.0 (58) 23.6 (42) 23.1 (33) 27.7 (67)
TT 2.6 (8) 0 2.4 (5) 1.7 (3) 1.4 (2) 2.5 (6)
C 84.1 (518) 88.3 (136) 83.6 (346) 86.5 (308) 87.1 (249) 83.7 (405)
T 15.9 (98) 11.7 (18) 16.4 (68) 13.5 (48) 12.9 (37) 16.3 (79)
BAFFR rs7290134
AA 58.9 (182) 54.5 (42) 55.0 (113) 62.0 (111) 60.1 (86) 56.8 (138)
AG 35.9 (111) 37.7 (29) 40.7 (85) 30.7 (55) 32.2 (46) 38.7 (94)
GG 5.2 (16) 7.8 (6) 4.3 (9) 7.3 (13) 7.7 (11) 4.5 (11)
A 76.9 (475) 73.4 (113) 75.1 (311) 77.4 (277) 76.2 (218) 76.1 (370)
G 23.1 (143) 26.6 (41) 24.9 (103) 22.6 (81) 23.8 (68) 23.9 (116)
BAFFR rs77874543
GG 83.0 (254) 81.6 (62) 81.6 (168) 84.1 (148) 83.1 (118) 82.5 (198)
GC 16.0 (49) 15.8 (12) 17.5 (36) 14.2 (25) 16.9 (24) 15.4 (37)
CC 1.0 (3) 2.6 (2) 1.0 (2) 1.7 (3) 0 2.1 (5)
G 91.0 (557) 89.5 (136) 90.3 (372) 91.2 (321) 91.5 (260) 90.2 (433)
C 9.0 (55) 10.5 (16) 9.7 (40) 8.8 (31) 8.5 (24) 9.8 (47)

IgAV: IgA vasculitis; GI: gastrointestinal.

No statistically significant differences in BAFF, APRIL and BAFFR genotype and allele frequencies were disclosed between patients with IgAV stratified according to the age at disease onset or the presence/absence of GI or renal manifestations (p ≥ 0.05 in all the cases).

We also examined whether differences in the genotype and allele frequencies of BAFF, APRIL and BAFFR could exist between patients with IgAV stratified according to the presence/absence of GI or renal manifestations. Accordingly, no statistically significant differences in BAFF, APRIL and BAFFR frequencies were found between patients with IgAV with or without GI manifestations (Table 3). This was also the case when patients with IgAV who developed renal manifestations were compared to those who did not exhibit these complications (Table 3).

Haplotype analyses of APRIL and BAFFR

Moreover, we compared haplotype frequencies of both APRIL and BAFFR between patients with IgAV and healthy controls as well as between patients with IgAV stratified according to the specific clinical characteristics of the disease mentioned above.

The haplotype analysis of APRIL and BAFFR did not yield additional information since haplotypes frequencies of both genes were similar in patients with IgAV when compared to healthy controls (Table 4). In addition, no statistically significant differences in APRIL and BAFFR haplotype frequencies were disclosed when patients with IgAV were stratified according to the age at disease onset or to the presence/absence of GI or renal manifestations (Supplementary Table S1, Supplementary Table S2 and Supplementary Table S3 online).

Table 4.

Haplotype analysis of APRIL and BAFFR between patients with IgAV and healthy controls.

APRIL haplotypes p OR [95% CI]
rs11552708 rs6608
G C Ref.
A T 0.90 0.98 [0.73–1.31]
G T 0.20 0.77 [0.50–1.17]
A C 0.46 0.72 [0.26–1.79]
BAFFR haplotypes p OR [95% CI]
rs7290134 rs77874543
A G Ref.
G G 0.57 0.93 [0.73–1.19]
G C 0.96 1.01 [0.72–1.39]
A C 0.16 2.08 [0.62–6.98]

IgAV: IgA vasculitis; OR: odds ratio; CI: confidence Interval.

Discussion

Inflammatory diseases are pathologies that share common pathogenic molecular mechanisms24,25. With this respect, cumulative knowledge clearly suggest that BAFF, APRIL and BAFF-R are key molecules involved in the development of B-lymphocytes15, that also play a relevant role in the pathogenic processes underlying immune-mediated disorders68.

Taking into account these considerations, we aimed to determine whether BAFF, APRIL and BAFFR represent novel genetic risk factors for the pathogenesis of IgAV, a predominantly B-lymphocyte inflammatory leukocytoclastic vasculitis. For that purpose, we analysed a BAFF genetic variant (rs374039502), which colocalizes with the BAFF GCTGT>A insertion/deletion variant previously described as a common locus for the susceptibility to several autoimmune diseases9,12, in the largest series of Caucasian patients diagnosed with IgAV ever assessed for genetic studies. Interestingly, this functional BAFF variant is an insertion-deletion in which five nucleotides are replaced by one (GCTGT>A), being this A the risk allele that creates a shorter 3´ UTR transcript, lacking a microRNA binding site, leading to higher levels of soluble BAFF, which in turn up-regulates humoral immunity9. Additionally, we also assessed two tag variants within APRIL and BAFFR, which cover most of the variability of both genes, in our cohort of patients with IgAV. Our results showed no influence of BAFF, APRIL and BAFFR on the susceptibility to IgAV. Since an association between different genetic variants and an increased risk of nephritis or GI disease was disclosed in IgAV2629, we also evaluated whether BAFF, APRIL and BAFFR may be related to the increased risk of nephritis or GI complications in our patients with IgAV. However, data derived from our study do not support a role of BAFF, APRIL and BAFFR polymorphisms (assessed independently or combined conforming haplotypes) in the phenotype expression of IgAV, indicating that these genes do not represent risk factors for the severity of the disease.

A previous genetic study evaluated the potential involvement of BAFF rs374039502 on the susceptibility to and clinical expression of giant cell arteritis (GCA), another primary systemic vasculitis that, unlike IgAV, involves large and middle-sized blood vessels30. Additionally, the role of this polymorphism on the pathogenesis of systemic sclerosis (SSc) was analysed in that study30. Nevertheless, and in keeping with our data, a lack of association of BAFF rs374039502 with the susceptibility and severity of GCA and SSc were reported by the authors30.

In summary, based on a large series of Caucasian patients, our results suggest that BAFF, APRIL and BAFFR genes do not contribute to the genetic network underlying IgAV.

Supplementary Information

Acknowledgements

We are indebted to the patients and healthy controls for their essential collaboration to this study. We also thank the National DNA Bank Repository (Salamanca) for supplying part of the control samples.

This study was supported by European Union FEDER funds and `Fondo de Investigaciones Sanitarias´ (grant PI18/00042) from ‘Instituto de Salud Carlos III’ (ISCIII, Health Ministry, Spain). DP-P is a recipient of a Río Hortega programme fellowship from the ISCIII, co-funded by the European Social Fund (ESF, `Investing in your future´) (grant number CM20/00006). SR-M is supported by funds of the RETICS Program (RD16/0012/0009) (ISCIII, co-funded by the European Regional Development Fund (ERDF)). VP-C is supported by a pre-doctoral grant from IDIVAL (PREVAL 18/01). BA-M is a recipient of a `López Albo´ Post-Residency Programme funded by Servicio Cántabro de Salud. LL-G is supported by funds from IDIVAL (INNVAL20/06). OG is staff personnel of Xunta de Galicia (Servizo Galego de Saude (SERGAS)) through a research-staff stabilization contract (ISCIII/SERGAS) and his work is funded by ISCIII and the European Union FEDER fund (grant numbers RD16/0012/0014 (RIER) and PI17/00409). He is beneficiary of project funds from the Research Executive Agency (REA) of the European Union in the framework of MSCA-RISE Action of the H2020 Programme, project 734899—Olive-Net. RL-M is a recipient of a Miguel Servet type I programme fellowship from the ISCIII, co-funded by ESF (`Investing in your future´) (grant number CP16/00033).

Author contributions

D.P-P., F.G. and S.R-M. participated in the design of the study, data analysis and helped to draft the manuscript. V.P–C., B.A-M. and L.L-G. have been involved in the acquisition, interpretation of data and coordination and helped to draft the manuscript. J.L. participated in the analysis and interpretation of the data and has been involved in revising the manuscript critically for important intellectual content. B.S-P., N.O-C., M.T.L., A.P., J.N., L.M-P., E.R., J.A.M-F., L.C-M., P.C., J.S.P., D.A., E.R., M.L.L., J.M.B-M., E.G-A., S.C. and R.B. have been involved in the recruitment of patients, interpretation of data and coordination and helped to draft the manuscript. O.G. and J.M. have been involved in the interpretation of data and coordination and helped to draft the manuscript. M.A.G-G. and R.L-M. has made substantial contributions to conception and design of the study, acquisition of data, coordination and helped to draft the manuscript and has given final approval of the version to be published. All authors have read and approved the manuscript for publication.

Competing interests

The authors declare no competing interests.

Footnotes

The original online version of this Article was revised: The original version of this Article contained an error in Affiliation 10, which was incorrectly given as ‘Division of Rheumatology, Hospital Universitario Central de Asturias, Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Oviedo, Spain’. The correct affiliation is listed below: Internal Medicine Dept., Hospital Universitario Central de Asturias, Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Oviedo, Spain.

Publisher's note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

These authors contributed equally: Diana Prieto-Peña, Fernanda Genre and Sara Remuzgo-Martínez.

These authors jointly supervised this work: Miguel A. González-Gay and Raquel López-Mejías.

Change history

8/16/2021

A Correction to this paper has been published: 10.1038/s41598-021-96114-z

Supplementary Information

The online version contains supplementary material available at 10.1038/s41598-021-91055-z.

References

  • 1.Schneider P, et al. BAFF, a novel ligand of the tumor necrosis factor family, stimulates B cell growth. J. Exp. Med. 1999;189:1747–1756. doi: 10.1084/jem.189.11.1747. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Mackay F, Schneider P, Rennert P, Browning J. BAFF AND APRIL: A tutorial on B cell survival. Annu. Rev. Immunol. 2003;21:231–264. doi: 10.1146/annurev.immunol.21.120601.141152. [DOI] [PubMed] [Google Scholar]
  • 3.Castigli E, et al. TACI is mutant in common variable immunodeficiency and IgA deficiency. Nat. Genet. 2005;37:829–834. doi: 10.1038/ng1601. [DOI] [PubMed] [Google Scholar]
  • 4.Martin F, Dixit VM. Unraveling TACIt functions. Nat. Genet. 2005;37:793–794. doi: 10.1038/ng0805-793. [DOI] [PubMed] [Google Scholar]
  • 5.Ng LG, et al. B cell-activating factor belonging to the TNF family (BAFF)-R is the principal BAFF receptor facilitating BAFF costimulation of circulating T and B cells. J. Immunol. 2004;173:807–817. doi: 10.4049/jimmunol.173.2.807. [DOI] [PubMed] [Google Scholar]
  • 6.Kryštůfková O, et al. Serum levels of B-cell activating factor of the TNF family (BAFF) correlate with anti-Jo-1 autoantibodies levels and disease activity in patients with anti-Jo-1positive polymyositis and dermatomyositis. Arthritis Res. Ther. 2018;20:158. doi: 10.1186/s13075-018-1650-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Yoshimoto K, Suzuki K, Takei E, Ikeda Y, Takeuchi T. Elevated expression of BAFF receptor, BR3, on monocytes correlates with B cell activation and clinical features of patients with primary Sjögren's syndrome. Arthritis Res. Ther. 2020;22:157. doi: 10.1186/s13075-020-02249-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Vincent FB, Saulep-Easton D, Figgett WA, Fairfax KA, Mackay F. The BAFF/APRIL system: Emerging functions beyond B cell biology and autoimmunity. Cytokine Growth Factor Rev. 2013;24:203–215. doi: 10.1016/j.cytogfr.2013.04.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Steri M, et al. Overexpression of the cytokine BAFF and autoimmunity risk. N. Engl. J. Med. 2017;376:1615–1626. doi: 10.1056/NEJMoa1610528. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Baert L, Manfroi B, Casez O, Sturm N, Huard B. The role of APRIL—A proliferation inducing ligand—In autoimmune diseases and expectations from its targeting. J Autoimmun. 2018;95:179–190. doi: 10.1016/j.jaut.2018.10.016. [DOI] [PubMed] [Google Scholar]
  • 11.Smulski CR, Eibel H. BAFF and BAFF-receptor in B cell selection and survival. Front. Immunol. 2018;9:2285. doi: 10.3389/fimmu.2018.02285. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.González-Serna D, et al. Association of a rare variant of the TNFSF13B gene with susceptibility to rheumatoid arthritis and systemic lupus erythematosus. Sci. Rep. 2018;8:8195. doi: 10.1038/s41598-018-26573-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.González-Gay MA, García-Porrúa C. Epidemiology of the vasculitides. Rheum. Dis. Clin. North Am. 2001;27:729–749. doi: 10.1016/S0889-857X(05)70232-5. [DOI] [PubMed] [Google Scholar]
  • 14.Calviño MC, Llorca J, García-Porrúa C, Fernández-Iglesias JL, Rodriguez-Ledo P, González-Gay MA. Henoch-Schönlein purpura in children from northwestern Spain: A 20-year epidemiologic and clinical study. Medicine. 2001;80:279–290. doi: 10.1097/00005792-200109000-00001. [DOI] [PubMed] [Google Scholar]
  • 15.García-Porrúa C, Calviño MC, Llorca J, Couselo JM, González-Gay MA. Henoch-Schönlein purpura in children and adults: Clinical differences in a defined population. Semin. Arthritis Rheum. 2002;32:149–156. doi: 10.1053/sarh.2002.33980. [DOI] [PubMed] [Google Scholar]
  • 16.Calvo-Río V, et al. Henoch-Schönlein purpura in northern Spain: Clinical spectrum of the disease in 417 patients from a single center. Medicine. 2014;93:106–113. doi: 10.1097/MD.0000000000000019. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Calvo-Río V, et al. Relapses in patients with Henoch-Schönlein purpura: Analysis of 417 patients from a single center. Medicine. 2016;95:e4217. doi: 10.1097/MD.0000000000004217. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.González-Gay MA, García-Porrúa C. Systemic vasculitis in adults in Northwestern Spain, 1988–1997: Clinical and epidemiologic aspects. Medicine. 1999;78:292–308. doi: 10.1097/00005792-199909000-00002. [DOI] [PubMed] [Google Scholar]
  • 19.Wyatt RJ, Julian BA. IgA nephropathy. N. Engl. J. Med. 2013;368:2402–2414. doi: 10.1056/NEJMra1206793. [DOI] [PubMed] [Google Scholar]
  • 20.López-Mejías R, et al. Genetics of immunoglobulin-A vasculitis (Henoch-Schönlein purpura): An updated review. Autoimmun. Rev. 2018;17:301–315. doi: 10.1016/j.autrev.2017.11.024. [DOI] [PubMed] [Google Scholar]
  • 21.López-Mejías R, et al. A genome-wide association study suggests the HLA Class II region as the major susceptibility locus for IgA vasculitis. Sci. Rep. 2017;11:5088. doi: 10.1038/s41598-017-03915-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Michel BA, Hunder GG, Bloch DA, Calabrese LH. Hypersensitivity vasculitis and Henoch-Schönlein purpura: A comparison between the 2 disorders. J. Rheumatol. 1992;19:721–728. [PubMed] [Google Scholar]
  • 23.Mills JA, et al. The American College of Rheumatology 1990 criteria for the classification of Henoch-Schönlein purpura. Arthritis Rheum. 1990;33:1114–1121. doi: 10.1002/art.1780330809. [DOI] [PubMed] [Google Scholar]
  • 24.Wandstrat A, Wakeland E. The genetics of complex autoimmune diseases: Non-MHC susceptibility genes. Nat. Immunol. 2001;2:802–809. doi: 10.1038/ni0901-802. [DOI] [PubMed] [Google Scholar]
  • 25.Zhernakova A, van Diemen CC, Wijmenga C. Detecting shared pathogenesis from the shared genetics of immune-related diseases. Nat. Rev. Genet. 2009;10:43–55. doi: 10.1038/nrg2489. [DOI] [PubMed] [Google Scholar]
  • 26.López-Mejías R, et al. Interleukin 1 beta (IL1ß) rs16944 genetic variant as a genetic marker of severe renal manifestations and renal sequelae in Henoch-Schönlein purpura. Clin. Exp. Rheumatol. 2016;34:S84–88. [PubMed] [Google Scholar]
  • 27.Amoli MM, et al. Interleukin 1 receptor antagonist gene polymorphism is associated with severe renal involvement and renal sequelae in Henoch-Schönlein purpura. J. Rheumatol. 2002;29:1404–1407. [PubMed] [Google Scholar]
  • 28.Amoli MM, et al. Interleukin 8 gene polymorphism is associated with increased risk of nephritis in cutaneous vasculitis. J. Rheumatol. 2002;29:2367–2370. [PubMed] [Google Scholar]
  • 29.Amoli MM, et al. Polymorphism at codon 469 of the intercellular adhesion molecule-1 locus is associated with protection against severe gastrointestinal complications in Henoch-Schönlein purpura. J. Rheumatol. 2001;28:1014–1018. [PubMed] [Google Scholar]
  • 30.González-Serna D, et al. A TNFSF13B functional variant is not involved in systemic sclerosis and giant cell arteritis susceptibility. PLoS ONE. 2018;13:e0209343. doi: 10.1371/journal.pone.0209343. [DOI] [PMC free article] [PubMed] [Google Scholar]

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