Mucosal Immune Defence Gene Polymorphisms as Relevant Players in the Pathogenesis of IgA Vasculitis?
by
, , , , , , , and
Joao Carlos Batista-Liz
1,†,
Vanesa Calvo-Río
1,†,
María Sebastián Mora-Gil
1,
Belén Sevilla-Pérez
2,
Ana Márquez
3,
María Teresa Leonardo
4,
Ana Peñalba
4,
Francisco David Carmona
5,6
,
Javier Narvaez
7,
Luis Martín-Penagos
8,
Lara Belmar-Vega
8,
Cristina Gómez-Fernández
9,
Luis Caminal-Montero
10,
Paz Collado
11,
Patricia Quiroga-Colina
12,
Miren Uriarte-Ecenarro
12,
Esteban Rubio
13,
Manuel León Luque
13,
Juan María Blanco-Madrigal
14,
Eva Galíndez-Agirregoikoa
14,
Javier Martín
3,
Santos Castañeda
12,
Miguel Angel González-Gay
15,16,
Ricardo Blanco
1,‡,
Verónica Pulito-Cueto
1,*,‡ and
Raquel López-Mejías
1,*,‡add
Show full author list
1
Immunopathology Group, Rheumatology Department, Hospital Universitario Marqués de Valdecilla-IDIVAL, 39011 Santander, Spain
2
Division of Paediatrics, Hospital Universitario San Cecilio, 18016 Granada, Spain
3
Instituto de Parasitología y Biomedicina ‘López-Neyra’, CSIC, PTS Granada, 18016 Granada, Spain
4
Division of Paediatrics, Hospital Universitario Marqués de Valdecilla, 39008 Santander, Spain
5
Departamento de Genética e Instituto de Biotecnología, Centro de Investigación Biomédica (CIBM), Universidad de Granada, 18071 Granada, Spain
6
Instituto de Investigación Biosanitaria ibs. Granada, 18012 Granada, Spain
7
Division of Rheumatology, Hospital Universitario de Bellvitge, 08907 Barcelona, Spain
8
Immunopathology Group, Division of Nephrology, Hospital Universitario Marqués de Valdecilla-IDIVAL, 39011 Santander, Spain
9
Division of Dermatology, Hospital Universitario Marqués de Valdecilla, 39008 Santander, Spain
10
Internal Medicine Department, Hospital Universitario Central de Asturias, Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), 33011 Oviedo, Spain
11
Division of Rheumatology, Hospital Universitario Severo Ochoa, 28911 Madrid, Spain
12
Division of Rheumatology, Hospital Universitario de La Princesa, IIS-Princesa, 28006 Madrid, Spain
13
Department of Rheumatology, Hospital Universitario Virgen del Rocío, 41013 Sevilla, Spain
14
Division of Rheumatology, Hospital Universitario de Basurto, 48013 Bilbao, Spain
15
Department of Rheumatology, IIS-Fundación Jiménez Díaz, 28040 Madrid, Spain
16
School of Medicine, Universidad de Cantabria, 39011 Santander, Spain
*
Authors to whom correspondence should be addressed.
†
These authors contributed equally to this work.
‡
These authors share senior authorship.
Int. J. Mol. Sci. 2023, 24(17), 13063; https://doi.org/10.3390/ijms241713063
Submission received: 4 August 2023
/
Revised: 17 August 2023
/
Accepted: 18 August 2023
/
Published: 22 August 2023
(This article belongs to the Special Issue Molecular Aspects of Autoimmune Diseases)
Abstract
:ITGAM–ITGAX (rs11150612, rs11574637), VAV3 rs17019602, CARD9 rs4077515, DEFA (rs2738048, rs10086568), and HORMAD2 rs2412971 are mucosal immune defence polymorphisms, that have an impact on IgA production, described as risk loci for IgA nephropathy (IgAN). Since IgAN and Immunoglobulin-A vasculitis (IgAV) share molecular mechanisms, with the aberrant deposit of IgA1 being the main pathophysiologic feature of both entities, we assessed the potential influence of the seven abovementioned polymorphisms on IgAV pathogenesis. These seven variants were genotyped in 381 Caucasian IgAV patients and 997 matched healthy controls. No statistically significant differences were observed in the genotype and allele frequencies of these seven polymorphisms when the whole cohort of IgAV patients and those with nephritis were compared to controls. Similar genotype and allele frequencies of all polymorphisms were disclosed when IgAV patients were stratified according to the age at disease onset or the presence/absence of gastrointestinal or renal manifestations. Likewise, no ITGAM–ITGAX and DEFA haplotype differences were observed when the whole cohort of IgAV patients, along with those with nephritis and controls, as well as IgAV patients, stratified according to the abovementioned clinical characteristics, were compared. Our results suggest that mucosal immune defence polymorphisms do not represent novel genetic risk factors for IgAV pathogenesis.
1. Introduction
The mucosal immune system encompasses a series of defence mechanisms that protect the organism against infections [1,2]. Among them, immunoglobulin A (IgA) is described as the predominant immunoglobulin in the mucosa [1,2,3] with a crucial role in the humoral immune response [4], defending against microbial antigens [5]. Additionally, some pieces of evidence support the claim that genes also play a relevant role in the regulation of the mucosal immune response [2]. Accordingly, ITGAM–ITGAX rs11150612, ITGAM–ITGAX rs11574637, VAV3 rs17019602, CARD9 rs4077515, DEFA rs2738048, DEFA rs10086568, and HORMAD2 rs2412971 are described as mucosal immune defence polymorphisms, most of which exhibit a relevant impact on IgA production by plasma cells in the mucosa [6,7,8,9,10].
The defining pathophysiologic feature of IgA vasculitis (IgAV), the most common small-sized blood vasculitis in children [11,12,13,14,15,16], is the presence of an aberrantly glycosylated galactose-deficient IgA (gd-IgA1) in circulation [17,18]. The origin of this gd-IgA1 is still unknown, although the intestinal mucosa seems to be essential in this process [19]. In this regard, IgA nephropathy (IgAN), the most prevalent primary chronic glomerular disease worldwide [20], is also characterised by an increased synthesis of gd-IgA1 [18,21,22]. In both entities, these elevated gd-IgA1 serum levels lead to glycan-specific IgG antibody development, which forms circulating immune complexes that ultimately deposit in different tissues, causing inflammation [23]. This evidence supports the hypothesis that IgAV and IgAN are inflammatory conditions that share pathophysiologic mechanisms. Interestingly, the seven mucosal immune defence genetic variants mentioned above are also proposed as risk loci for IgAN [6].
Taking all these considerations into account, it is plausible to think that polymorphisms, located in genes affecting the mucosal immune defence and reported as risk loci of IgAN [6], may be also implicated in the pathogenesis of IgAV. Accordingly, the main aim of the present study was to determine the potential influence of ITGAM–ITGAX rs11150612, ITGAM–ITGAX rs11574637, VAV3 rs17019602, CARD9 rs4077515, DEFA rs2738048, DEFA rs10086568, and HORMAD2 rs2412971 genetic variants on the susceptibility and severity of IgAV, using the largest series of Caucasian patients diagnosed with IgAV ever assessed for genetic studies.
2. Results
The genotyping success rate was greater than 99% for the seven polymorphisms analysed.
No deviation from Hardy–Weinberg equilibrium (HWE) was detected for ITGAM–ITGAX (rs11150612, rs11574637), VAV3 rs17019602, CARD9 rs4077515, DEFA (rs2738048, rs10086568), and HORMAD2 rs2412971 polymorphisms at the 5% significance level.
Genotype and allele frequencies of all the genetic variants evaluated in our study were in accordance with those reported in the 1000 Genomes Project (http://www.internationalgenome.org/) (accessed on 11 August 2023) for European populations.
The linkage disequilibrium (LD) of ITGAM–ITGAX polymorphisms in our patients with IgAV (Figure 1A) and healthy controls (Figure 1B) was assessed. Moreover, the LD of DEFA polymorphisms in our study populations was also evaluated in our patients with IgAV (Figure 1A) and healthy controls (Figure 1B).
2.1. Mucosal Immune Defence Polymorphisms in the Susceptibility of IgAV
Firstly, we compared the genotype and allele frequencies of the seven polymorphisms evaluated as well as ITGAM–ITGAX and DEFA haplotype frequencies between patients with IgAV and healthy controls.
In this context, no differences in the genotype and allele frequencies of ITGAM–ITGAX (rs11150612, rs11574637), VAV3 rs17019602, CARD9 rs4077515, DEFA (rs2738048, rs10086568), and HORMAD2 rs2412971 were observed in patients with IgAV when compared to healthy controls (Table 1).
Moreover, similar ITGAM–ITGAX and DEFA haplotype frequencies were disclosed between patients with IgAV and healthy controls (Table 2).
In a further step, we analysed potential genetic differences in the seven polymorphisms assessed in those patients with IgAV who developed nephritis (IgAVN) compared to healthy controls. Accordingly, genotype and allele frequencies of all these variants (Table 3) and haplotype frequencies of ITGAM–ITGAX and DEFA (Table 4) did not differ between IgAVN patients and controls.
2.2. Mucosal Immune Defence Polymorphisms in the Severity of IgAV
We evaluated whether differences in the genotype and allele frequencies of the seven polymorphisms evaluated as well as in the ITGAM–ITGAX and DEFA haplotype frequencies could exist between patients with IgAV stratified according to specific clinical characteristics of the disease.
In this sense, we analysed potential differences in the ITGAM–ITGAX (rs11150612, rs11574637), VAV3 rs17019602, CARD9 rs4077515, DEFA (rs2738048, rs10086568), and HORMAD2 rs2412971 genotype and allele frequencies between patients with IgAV stratified according to the age at disease onset. No statistically significant differences were disclosed when the seven polymorphisms selected were compared between children (age ≤ 20 years) and adults (age > 20 years) (Table 5).
In addition, we evaluated whether differences in genotype and allele frequencies of the seven polymorphisms analysed differed between patients with IgAV stratified according to the presence/absence of gastrointestinal (GI) or renal manifestations. Accordingly, no statistically significant differences in ITGAM–ITGAX (rs11150612, rs11574637), VAV3 rs17019602, CARD9 rs4077515, DEFA (rs2738048, rs10086568), and HORMAD2 rs2412971 genotype and allele frequencies were disclosed when patients with IgAV who developed GI manifestations were compared to those who did not exhibit these complications (Table 5). In addition, similar frequencies were disclosed when patients with IgAV were stratified according to the presence/absence of renal manifestations (Table 5).
The haplotype analyses did not yield additional information, since haplotype frequencies of ITGAM–ITGAX and DEFA did not differ between patients with IgAV stratified according to the age at the disease onset or the presence/absence of GI or renal manifestations (Table 6).
3. Discussion
This is the first study aimed to determine whether mucosal immune defence polymorphisms represent novel genetic risk factors for IgAV pathogenesis. To that aim, ITGAM–ITGAX (rs11150612, rs11574637), VAV3 rs17019602, CARD9 rs4077515, DEFA (rs2738048, rs10086568), and HORMAD2 rs2412971 variants were evaluated, for the first time, in the largest series of Caucasian IgAV patients ever assessed for genetic studies. Given that these genetic variants have been previously reported as susceptibility loci of IgAN (4), and some of these exhibit functional consequences such as ITGAM–ITGAX rs11150612, that are related to increased expression of ITGAX in peripheral blood cells [24], and CARD9 rs407751, associated with a higher expression of CARD9 in different type of cells [24,25,26], it is plausible to think that may be also implicated in IgAV.
Interestingly, our data revealed no influence of the seven polymorphisms mentioned on the susceptibility of IgAV, either when we studied each of these variants separately or when ITGAM–ITGAX and DEFA polymorphisms were tested together, conforming haplotypes. Moreover, no significant differences were disclosed when our patients with IgAV who developed renal damage were compared with healthy controls. These results are of great interest since no previous studies have evaluated the potential role of the seven abovementioned mucosal immune defence gene polymorphisms in the susceptibility of IgAV. Nevertheless, these polymorphisms have been described as susceptibility loci of IgAN, an inflammatory condition that shares pathogenic mechanisms with IgAV [27], although differences between them were also described [27]. Thus, whether these 2 conditions are different pathologies or represent different outcomes of a single disease is controversial [27]. In this sense, our findings shed light on this concern, showing no association of susceptibility IgAN loci with IgAV pathogenesis, mainly with the renal damage characteristic of this vasculitis, reinforcing the hypothesis that IgAV and IgAN may represent different entities. Indeed, we did not observe differences between patients with IgAV with nephritis and those patients with IgAV without renal manifestations.
Furthermore, no statistically significant results were disclosed when genotype and allele frequencies of these seven polymorphisms and when ITGAM–ITGAX and DEFA haplotype frequencies were assessed according to the age at disease onset and the increased risk of GI disease or nephritis, suggesting that none of these genetic variants contributes to the severity of IgAV. It is important to note that no previous studies assessing the implication of the seven polymorphisms in the severity of this vasculitis are available, highlighting the relevance of our data in this regard.
In keeping with these findings, a previous study of our group evaluated the potential role of TNFSF13 (another mucosal immune defence gene also described as a risk locus for IgAN (4)) and 2 TNFSF13-related genes in the pathogenesis of IgAV [28]. Results derived from this study showed a lack of implication of TNFSF13 and TNFSF13-related genes with the susceptibility and severity of IgAV [28], highlighting that these genes do not contribute to the genetic network underlying IgAV.
Most mucosal immune defence genes encode proteins implicated in the maintenance of the intestinal barrier and regulation of mucosal immune response to pathogens [6]. ITGAM encodes integrins that mark intestinal dendritic cells [6] and is involved in the regulation of IgA-producing plasma cells [29]. VAV are crucial proteins implicated in NF-κB activation in B-cells [6], a process that stimulates IgA production [30], also required for proper differentiation of colonic enterocytes [31]. CARD9 is essential for NF-κB activation, mediates intestinal repair, T-helper 17 responses, and control of bacterial infection after intestinal epithelial injury [32]. Mutations in CARD9 are associated with ulcerative colitis, Crohn’s disease, and inflammatory bowel disease [33,34,35,36,37], diseases in which the integrative loss of the intestinal mucosal play a pathogenic role [38]. DEFA encodes α-defensins, antimicrobial peptides with a key role in mucosal defence [6], and is associated with Crohn’s disease [39,40]. Finally, HORMAD2 is described as a protective locus against Crohn’s disease [33,34,41] and is associated with increased serum IgA levels [7]. Accordingly, and based on the results derived from our study, it is plausible that the genes affecting the mucosal immune defence evaluated in our work may not be the central defect in the pathogenesis of IgAV. In this line and given the pivotal role of galactosylation of IgA and the involvement of the complement pathway in the pathogenesis of IgAV, we hypothesize that polymorphisms in genes associated with these processes, also described as relevant loci involved in the pathogenesis of IgAN [42,43], may serve as better identifiers of IgAV. Since this vasculitis is a complex disease in which many genes may be implicated [44], future studies focused on elucidating the role of other molecular mechanisms in IgAV would be of great interest.
4. Materials and Methods
4.1. Study Groups
A series of 381 unrelated Caucasian patients diagnosed with IgAV were enrolled in this study. All these patients fulfilled both Michel et al. [45] and the American College of Rheumatology [46] classification criteria for IgAV. Additionally, all the IgAV patients were recruited from Hospital Universitario Marqués de Valdecilla (Santander), Hospital Universitario Clínico 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). The clinical and demographical features of these patients were previously described [47].
Moreover, 997 unrelated individuals without a history of cutaneous vasculitis or any other autoimmune disease were enrolled in this work as healthy controls. All these individuals were sex- and ethnically-matched with IgAV patients, and their recruitment was performed in the National DNA Bank Repository (Salamanca).
Informed written consent was obtained from all the patients diagnosed with IgAV and the healthy controls who were included in this study. Likewise, methods were carried out in accordance with the ethical standards of the approved guidelines and regulations, according to the Declaration of Helsinki, and the study was also approved by the Institutional Review Board (or Ethics Committee) of clinical research of Cantabria, Spain (protocol code 15/2012 and date of approval 11 May 2012).
4.2. Genotyping Method
Genomic deoxyribonucleic acid from all the patients with IgAV and healthy controls was extracted from peripheral blood samples using standard procedures.
All individuals were genotyped for the following seven mucosal immune defence polymorphisms also described as risk loci for IgAN [6]: ITGAM–ITGAX rs11150612, ITGAM–ITGAX rs11574637, VAV3 rs17019602, CARD9 rs4077515, DEFA rs2738048, DEFA rs10086568, and HORMAD2 rs2412971. Genotyping was performed using predesigned TaqMan 5′ single-nucleotide polymorphism genotyping assays (C_39031_20 for ITGAM–ITGAX rs11150612, C_30991393_10 for ITGAM–ITGAX rs11574637, C_34249468_20 for VAV3 rs17019602, C_25956930_20 for CARD9 rs4077515, C_27186146_10 for DEFA rs2738048, C_30155584_20 for DEFA rs10086568, and C_15795751_10 for HORMAD2 rs2412971) in a QuantStudioTM 7 Flex Real-Time polymerase chain reaction system, according to the conditions recommended by the manufacturer (Applied Biosystems, Foster City, CA, USA).
To check the accuracy of the genotyping method, both negative controls and duplicate samples were evaluated. In addition, the genotyping success rate for all the genetic variants included in this study was tested, and the deviation of genotype data for the seven polymorphisms assessed from HWE was checked.
4.3. Statistical Analyses
Genotype and allele frequencies of ITGAM–ITGAX (rs11150612, rs11574637), VAV3 rs17019602, CARD9 rs4077515, DEFA (rs2738048, rs10086568), and HORMAD2 rs2412971 were calculated and compared between patients with IgAV and healthy controls as well as between patients with IgAV stratified according to the specific clinical characteristic of the disease (age at the disease onset or presence/absence of GI or renal manifestation). For that analysis, a chi-squared test or Fisher test (when expected values were below 5) was used. The strength of association was estimated using odds ratio (OR) and 95% confidence intervals (CI).
Additionally, allelic combination (haplotype) analysis for the ITGAM–ITGAX and the DEFA polymorphisms evaluated were carried out. Haplotype frequencies were calculated using the Haploview v4.2 software (http://broad.mit.edu/mpg/haploview) (accessed on 11 August 2023) and compared between the groups mentioned above by chi-squared test. The strength of association was estimated by OR and 95% CI. p-values lower than 0.05 were considered statistically significant.
STATA statistical software 12/SE (Stata Corp., College Station, TX, USA) was used to perform all the statistical analyses.
5. Conclusions
In summary, our results, based on a large series of patients, suggest that mucosal immune defence polymorphisms do not represent novel genetic risk factors for the pathogenesis of IgAV.
Author Contributions
Conceptualization, J.C.B.-L., V.C.-R. and M.S.M.-G.; methodology, J.C.B.-L., V.C.-R. and M.S.M.-G.; formal analysis, J.C.B.-L., V.C.-R., M.S.M.-G., V.P.-C. and R.L.-M.; data curation, B.S.-P., A.M., M.T.L., A.P., F.D.C., J.N., L.M.-P., L.B.-V., C.G.-F., L.C.-M., P.C., P.Q.-C., M.U.-E., E.R., M.L.L., J.M.B.-M., E.G.-A., J.M., S.C. and M.A.G.-G.; writing—original draft preparation, J.C.B.-L., V.C.-R. and M.S.M.-G.; writing—review and editing, J.C.B.-L., V.C.-R., M.S.M.-G., R.B., V.P.-C. and R.L.-M.; visualization, J.C.B.-L., V.C.-R. and M.S.M.-G.; supervision, R.B., V.P.-C. and R.L.-M.; project administration, R.B., V.P.-C. and R.L.-M.; funding acquisition, R.L.-M. All authors have read and agreed to the published version of the manuscript.
Funding
This research was funded by European Union FEDER funds and “Fondo de Investigaciones Sanitarias” from “Instituto de Salud Carlos III” (ISCIII, Health Ministry, Spain), grant numbers PI18/00042 and PI21/00042. J.C.B.-L. is a recipient of a PFIS program fellowship from the ISCIII, co-funded by the European Social Fund (‘Investing in your future’), grant number FI22/00020. M.S.M.-G. is supported by funds of “Fondo de Investigaciones Sanitarias” from ISCIII, grant number PI121/00042. R.L.-M. is a recipient of a Miguel Servet type II program fellowship from the ISCIII, co-funded by ESF (“Investing in your future”), grant number CPII21/00004.
Institutional Review Board Statement
The study was conducted in accordance with the Declaration of Helsinki and approved by the Institutional Review Board (or Ethics Committee) of clinical research of Cantabria, Spain (protocol code 15/2012 and date of approval 11 May 2012).
Informed Consent Statement
Informed consent was obtained from all subjects involved in the study.
Data Availability Statement
All data generated or analysed during this study are included in this published article.
Acknowledgments
We wish to thank all the subjects for their essential collaboration in this study. We also thank the National DNA Bank Repository (Salamanca) for supplying the control samples.
Conflicts of Interest
The authors declare no conflict of interest related to this study.
References
- Fagarasan, S.; Honjo, T. Regulation of IgA Synthesis at Mucosal Surfaces. Curr. Opin. Immunol. 2004, 16, 277–283. [Google Scholar] [CrossRef] [PubMed]
- Nagler-Anderson, C. Man the Barrier! Strategic Defences in the Intestinal Mucosa. Nat. Rev. Immunol. 2001, 1, 59–67. [Google Scholar] [CrossRef] [PubMed]
- Macpherson, A.J.; Gatto, D.; Sainsbury, E.; Harriman, G.R.; Hengartner, H.; Zinkernagel, R.M. A Primitive T Cell-Independent Mechanism of Intestinal Mucosal IgA Responses to Commensal Bacteria. Science 2000, 288, 2222–2226. [Google Scholar] [CrossRef] [PubMed]
- Fagarasan, S.; Honjo, T. Intestinal IgA Synthesis: Regulation of Front-Line Body Defences. Nat. Rev. Immunol. 2003, 3, 63–72. [Google Scholar] [CrossRef] [PubMed]
- Matsunaga, T.; Rahman, A. What Brought the Adaptive Immune System to Vertebrates?–The Jaw Hypothesis and the Seahorse. Immunol. Rev. 1998, 166, 177–186. [Google Scholar] [CrossRef] [PubMed]
- Kiryluk, K.; Li, Y.; Scolari, F.; Sanna-Cherchi, S.; Choi, M.; Verbitsky, M.; Fasel, D.; Lata, S.; Prakash, S.; Shapiro, S.; et al. Discovery of New Risk Loci for IgA Nephropathy Implicates Genes Involved in Immunity against Intestinal Pathogens. Nat. Genet. 2014, 46, 1187–1196. [Google Scholar] [CrossRef] [PubMed]
- Gharavi, A.G.; Kiryluk, K.; Choi, M.; Li, Y.; Hou, P.; Xie, J.; Sanna-Cherchi, S.; Men, C.J.; Julian, B.A.; Wyatt, R.J.; et al. Genome-Wide Association Study Identifies Susceptibility Loci for IgA Nephropathy. Nat. Genet. 2011, 43, 321–329. [Google Scholar] [CrossRef] [PubMed]
- Feenstra, B.; Bager, P.; Liu, X.; Hjalgrim, H.; Nohr, E.A.; Hougaard, D.M.; Geller, F.; Melbye, M. Genome-Wide Association Study Identifies Variants in HORMAD2 Associated with Tonsillectomy. J. Med. Genet. 2017, 54, 358–364. [Google Scholar] [CrossRef] [PubMed]
- Magistroni, R.; D’Agati, V.D.; Appel, G.B.; Kiryluk, K. New Developments in the Genetics, Pathogenesis, and Therapy of IgA Nephropathy. Kidney Int. 2015, 88, 974–989. [Google Scholar] [CrossRef]
- Wu, C.; Li, G.; Wang, L. The Interaction Effect of Rs4077515 and Rs17019602 Increases the Susceptibility to IgA Nephropathy. Oncotarget 2017, 8, 76492–76497. [Google Scholar] [CrossRef]
- López-Mejías, R.; Genre, F.; Pérez, B.S.; Castañeda, S.; Ortego-Centeno, N.; Llorca, J.; Ubilla, B.; Remuzgo-Martínez, S.; Mijares, V.; Pina, T.; et al. Association of HLA-B*41:02 with Henoch-Schönlein Purpura (IgA Vasculitis) in Spanish Individuals Irrespective of the HLA-DRB1 Status. Arthritis Res. Ther. 2015, 17, 102. [Google Scholar] [CrossRef] [PubMed]
- López-Mejías, R.; Genre, F.; Pérez, B.S.; Castañeda, S.; Ortego-Centeno, N.; Llorca, J.; Ubilla, B.; Remuzgo-Martínez, S.; Mijares, V.; Pina, T.; et al. Association of HLA-DRB101 with IgA Vasculitis (Henoch-Schönlein). Arthritis Rheumatol. 2015, 67, 823–827. [Google Scholar] [CrossRef] [PubMed]
- Ortiz-Sanjuán, F.; Blanco, R.; Hernández, J.; González-López, M.; Loricera, J.; Lacalle-Calderón, M.; Pina, T.; Calvo-Río, V.; Álvarez, L.; González-Vela, M.; et al. Applicability of the 2006 European League Against Rheumatism (EULAR) Criteria for the Classification of Henoch-Schönlein Purpura. An Analysis Based on 766 Patients with Cutaneous Vasculitis. Clin. Exp. Rheumatol. 2015, 32, S44–S47. [Google Scholar]
- Calvo-Río, V.; Loricera, J.; Ortiz-Sanjuán, F.; Mata, C.; Martín, L.; Álvarez, L.; González-Vela, M.; Rueda-Gotor, J.; González-López, M.; Armesto, S.; et al. Revisiting Clinical Differences between Hypersensitivity Vasculitis and Henoch-Schönlein Purpura in Adults from a Defined Population. Clin. Exp. Rheumatol. 2014, 32, S34–S40. [Google Scholar]
- Calvo-Río, V.; Hernández, J.L.; Ortiz-Sanjuán, F.; Loricera, J.; Palmou-Fontana, N.; González-Vela, M.C.; González-Lamuño, D.; González-López, M.A.; Armesto, S.; Blanco, R.; et al. Relapses in Patients with Henoch-Schönlein Purpura: Analysis of 417 Patients from a Single Center. Medicine 2016, 95, e4217. [Google Scholar] [CrossRef]
- Blanco, R.; Martínez-Taboada, V.; Rodríguez-Valverde, V.; García-Fuentes, M.; González-Gay, M. Henoch-Schonlein Purpura in Adulthood and Childhood: Two Different Expressions of the Same Syndrome. Arthritis Rheum. 1997, 40, 859–864. [Google Scholar] [CrossRef]
- Calvo-Río, V.; Loricera, J.; Martín, L.; Ortiz-Sanjuán, F.; Alvarez, L.; González-Vela, M.C.; González-Lamuño, D.; Mata, C.; Gortázar, P.; Rueda-Gotor, J.; et al. Henoch-Schönlein Purpura Nephritis and IgA Nephropathy: A Comparative Clinical Study. Clin. Exp. Rheumatol. 2013, 31, S45–S51. [Google Scholar] [PubMed]
- Sanders, J.T.; Wyatt, R.J. IgA Nephropathy and Henoch-Schönlein Purpura Nephritis. Curr. Opin. Pediatr. 2008, 20, 163–170. [Google Scholar] [CrossRef] [PubMed]
- Sanchez-Russo, L.; Rajasekaran, A.; Bin, S.; Faith, J.; Cravedi, P. The Gut and Kidney Crosstalk in Immunoglobulin A Nephropathy. Kidney360 2022, 3, 1630–1639. [Google Scholar] [CrossRef] [PubMed]
- Gentile, M.; Sanchez-Russo, L.; Riella, L.V.; Verlato, A.; Manrique, J.; Granata, S.; Fiaccadori, E.; Pesce, F.; Zaza, G.; Cravedi, P. Immune Abnormalities in IgA Nephropathy. Clin. Kidney J. 2023, 16, 1059–1070. [Google Scholar] [CrossRef]
- Wyatt, R.J.; Julian, B.A. IgA Nephropathy. N. Engl. J. Med. 2013, 368, 2402–2414. [Google Scholar] [CrossRef] [PubMed]
- Donadio, J.V.; Grande, J.P. IgA Nephropathy. N. Engl. J. Med. 2002, 347, 738–748. [Google Scholar] [CrossRef] [PubMed]
- Jennette, J.C.; Falk, R.J.; Bacon, P.A.; Basu, N.; Cid, M.C.; Ferrario, F.; Flores-Suarez, L.F.; Gross, W.L.; Guillevin, L.; Hagen, E.C.; et al. 2012 Revised International Chapel Hill Consensus Conference Nomenclature of Vasculitides. Arthritis Rheum. 2013, 65, 180–186. [Google Scholar] [CrossRef] [PubMed]
- Westra, H.J.; Peters, M.J.; Esko, T.; Yaghootkar, H.; Schurmann, C.; Kettunen, J.; Christiansen, M.W.; Fairfax, B.P.; Schramm, K.; Powell, J.E.; et al. Systematic Identification of Trans EQTLs as Putative Drivers of Known Disease Associations. Nat. Genet. 2013, 45, 1238–1243. [Google Scholar] [CrossRef]
- Fairfax, B.P.; Makino, S.; Radhakrishnan, J.; Plant, K.; Leslie, S.; Dilthey, A.; Ellis, P.; Langford, C.; Vannberg, F.O.; Knight, J.C. Genetics of Gene Expression in Primary Immune Cells Identifies Cell Type-Specific Master Regulators and Roles of HLA Alleles. Nat. Genet. 2012, 44, 502–510. [Google Scholar] [CrossRef] [PubMed]
- Dixon, A.L.; Liang, L.; Moffatt, M.F.; Chen, W.; Heath, S.; Wong, K.C.C.; Taylor, J.; Burnett, E.; Gut, I.; Farrall, M.; et al. A Genome-Wide Association Study of Global Gene Expression. Nat. Genet. 2007, 39, 1202–1207. [Google Scholar] [CrossRef]
- Waldos, F.B. Is Henoch-Schönlein Purpura the Systemic Form of IgA Nephropathy? Am. J. Kidney Dis. 1988, 12, 373–377. [Google Scholar] [CrossRef]
- Prieto-Peña, D.; Genre, F.; Remuzgo-Martínez, S.; Pulito-Cueto, V.; Atienza-Mateo, B.; Llorca, J.; Sevilla-Pérez, B.; Ortego-Centeno, N.; Lera-Gómez, L.; Leonardo, M.T.; et al. BAFF, APRIL and BAFFR on the Pathogenesis of Immunoglobulin-A Vasculitis. Sci. Rep. 2021, 11, 11510. [Google Scholar] [CrossRef]
- Kunisawa, J.; Gohda, M.; Hashimoto, E.; Ishikawa, I.; Higuchi, M.; Suzuki, Y.; Goto, Y.; Panea, C.; Ivanov, I.I.; Sumiya, R.; et al. Microbe-Dependent CD11b+ IgA+ Plasma Cells Mediate Robust Early-Phase Intestinal IgA Responses in Mice. Nat. Commun. 2013, 4, 1772. [Google Scholar] [CrossRef]
- Vigorito, E.; Gambardella, L.; Colucci, F.; McAdam, S.; Turner, M. Vav Proteins Regulate Peripheral B-Cell Survival. Blood 2005, 106, 2391–2398. [Google Scholar] [CrossRef]
- Liu, J.Y.; Seno, H.; Miletic, A.V.; Mills, J.C.; Swat, W.; Stappenbeck, T.S. Vav Proteins Are Necessary for Correct Differentiation of Mouse Cecal and Colonic Enterocytes. J. Cell Sci. 2009, 122, 324–334. [Google Scholar] [CrossRef] [PubMed]
- Sokol, H.; Conway, K.L.; Zhang, M.; Choi, M.; Morin, B.; Cao, Z.; Villablanca, E.J.; Li, C.; Wijmenga, C.; Yun, S.H.; et al. Card9 Mediates Intestinal Epithelial Cell Restitution, t-Helper 17 Responses, and Control of Bacterial Infection in Mice. Gastroenterology 2013, 145, 591–601. [Google Scholar] [CrossRef] [PubMed]
- Franke, A.; McGovern, D.P.B.; Barrett, J.C.; Wang, K.; Radford-Smith, G.L.; Ahmad, T.; Lees, C.W.; Balschun, T.; Lee, J.; Roberts, R.; et al. Genome-Wide Meta-Analysis Increases to 71 the Number of Confirmed Crohn’s Disease Susceptibility Loci. Nat. Genet. 2010, 42, 1118–1125. [Google Scholar] [CrossRef]
- Jostins, L.; Ripke, S.; Weersma, R.K.; Duerr, R.H.; McGovern, D.P.; Hui, K.Y.; Lee, J.C.; Philip Schumm, L.; Sharma, Y.; Anderson, C.A.; et al. Host-Microbe Interactions Have Shaped the Genetic Architecture of Inflammatory Bowel Disease. Nature 2012, 491, 119–124. [Google Scholar] [CrossRef]
- McGovern, D.P.B.; Gardet, A.; Törkvist, L.; Goyette, P.; Essers, J.; Taylor, K.D.; Neale, B.M.; Ong, R.T.H.; Lagacé, C.; Li, C.; et al. Genome-Wide Association Identifies Multiple Ulcerative Colitis Susceptibility Loci. Nat. Genet. 2010, 42, 332–337. [Google Scholar] [CrossRef] [PubMed]
- Rivas, M.A.; Beaudoin, M.; Gardet, A.; Stevens, C.; Sharma, Y.; Zhang, C.K.; Boucher, G.; Ripke, S.; Ellinghaus, D.; Burtt, N.; et al. Deep Resequencing of GWAS Loci Identifies Independent Rare Variants Associated with Inflammatory Bowel Disease. Nat. Genet. 2011, 43, 1066–1073. [Google Scholar] [CrossRef] [PubMed]
- Beaudoin, M.; Goyette, P.; Boucher, G.; Lo, K.S.; Rivas, M.A.; Stevens, C.; Alikashani, A.; Ladouceur, M.; Ellinghaus, D.; Törkvist, L.; et al. Deep Resequencing of GWAS Loci Identifies Rare Variants in CARD9, IL23R and RNF186 That Are Associated with Ulcerative Colitis. PLoS Genet. 2013, 9, e1003723. [Google Scholar] [CrossRef] [PubMed]
- Maloy, K.J.; Powrie, F. Intestinal Homeostasis and Its Breakdown in Inflammatory Bowel Disease. Nature 2011, 474, 298–306. [Google Scholar] [CrossRef] [PubMed]
- Bevins, C.L.; Salzman, N.H. Paneth Cells, Antimicrobial Peptides and Maintenance of Intestinal Homeostasis. Nat. Rev. Microbiol. 2011, 9, 356–368. [Google Scholar] [CrossRef]
- Wehkamp, J.; Salzman, N.H.; Porter, E.; Nuding, S.; Weichenthal, M.; Petras, R.E.; Shen, B.; Schaeffeler, E.; Schwab, M.; Linzmeier, R.; et al. Reduced Paneth Cell Alpha-Defensins in Ileal Crohn’s Disease. Proc. Natl. Acad. Sci. USA 2005, 102, 18129–18134. [Google Scholar] [CrossRef]
- Imielinski, M.; Baldassano, R.N.; Griffiths, A.; Russell, R.K.; Annese, V.; Dubinsky, M.; Kugathasan, S.; Bradfield, J.P.; Walters, T.D.; Sleiman, P.; et al. Common Variants at Five New Loci Associated with Early-Onset Inflammatory Bowel Disease. Nat. Genet. 2009, 41, 1335–1340. [Google Scholar] [CrossRef]
- Zhu, L.; Tang, W.; Li, G.; Lv, J.; Ding, J.; Yu, L.; Zhao, M.; Li, Y.; Zhang, X.; Shen, Y.; et al. Interaction between Variants of Two Glycosyltransferase Genes in IgA Nephropathy. Kidney Int. 2009, 76, 190–198. [Google Scholar] [CrossRef]
- Ibrahim, S.T.; Chinnadurai, R.; Ali, I.; Payne, D.; Rice, G.I.; Newman, W.G.; Algohary, E.; Adam, A.G.; Kalra, P.A. Genetic Polymorphism in C3 Is Associated with Progression in Chronic Kidney Disease (CKD) Patients with IgA Nephropathy but Not in Other Causes of CKD. PLoS ONE 2020, 15, e0228101. [Google Scholar] [CrossRef]
- López-Mejías, R.; Castañeda, S.; Genre, F.; Remuzgo-Martínez, S.; Carmona, F.D.; Llorca, J.; Blanco, R.; Martín, J.; González-Gay, M.A. Genetics of Immunoglobulin-A Vasculitis (Henoch-Schönlein Purpura): An Updated Review. Autoimmun. Rev. 2018, 17, 301–315. [Google Scholar] [CrossRef]
- Michel, B.A.; Hunder, G.G.; Bloch, D.A.; Calabrese, L.H. Hypersensitivity Vasculitis and Henoch-Schönlein Purpura: A Comparison between the 2 Disorders. J. Rheumatol. 1992, 19, 721–728. [Google Scholar]
- Mills, J.A.; Michel, B.A.; Bloch, D.A.; Calabrese, L.H.; Hunder, G.G.; Arend, W.P.; Edworthy, S.M.; Fauci, A.S.; Leavitt, R.Y.; Lie, J.T.; et al. The American College of Rheumatology 1990 Criteria for the Classification of Henoch-schönlein Purpura. Arthritis Rheum. 1990, 33, 1114–1121. [Google Scholar] [CrossRef]
- Batista Liz, J.C.; Genre, F.; Pulito-Cueto, V.; Remuzgo-Martínez, S.; Prieto-Peña, D.; Márquez, A.; Ortego-Centeno, N.; Leonardo, M.T.; Peñalba, A.; Narváez, J.; et al. IgA Vasculitis: Influence of CD40, BLK and BANK1 Gene Polymorphisms. J. Clin. Med. 2022, 11, 5577. [Google Scholar] [CrossRef] [PubMed]
Figure 1.
Linkage disequilibrium (LD) plot of ITGAM–ITGAX and DEFA polymorphisms in our patients with IgAV (A) and healthy controls (B) measured by r2 coefficient. Data were obtained using Haploview (v.4.2) software. The LD between the ITGAM–ITGAX and DEFA polymorphisms studied is shown on a scale from minimum (white) to maximum (black).
Figure 1.
Linkage disequilibrium (LD) plot of ITGAM–ITGAX and DEFA polymorphisms in our patients with IgAV (A) and healthy controls (B) measured by r2 coefficient. Data were obtained using Haploview (v.4.2) software. The LD between the ITGAM–ITGAX and DEFA polymorphisms studied is shown on a scale from minimum (white) to maximum (black).
Table 1.
Genotype and allele analysis of mucosal immune defence polymorphisms in patients with IgAV and healthy controls.
Table 1.
Genotype and allele analysis of mucosal immune defence polymorphisms in patients with IgAV and healthy controls.
| Locus | SNP | IgAV, % (n) | Healthy Controls, % (n) | p | OR [95% CI] | Locus | SNP | IgAV, % (n) | Healthy Controls, % (n) | p | OR [95% CI] |
|---|---|---|---|---|---|---|---|---|---|---|---|
| ITGAM–ITGAX | rs11150612 | DEFA | rs2738048 | ||||||||
| GG | 39.9 (152) | 40.4 (403) | - | Ref. | AA | 46.7 (178) | 51.9 (517) | - | Ref. | ||
| GA | 43.3 (165) | 46.3 (461) | 0.69 | 0.95 [0.73–1.24] | AG | 42.8 (163) | 39.7 (396) | 0.16 | 1.20 [0.92–1.55] | ||
| AA | 16.8 (64) | 13.3 (133) | 0.17 | 1.28 [0.88–1.84] | GG | 10.5 (40) | 8.4 (84) | 0.12 | 1.38 [0.89–2.12] | ||
| G | 61.5 (469) | 63.5 (1267) | - | Ref. | A | 68.1 (519) | 71.7 (1430) | - | Ref. | ||
| A | 38.5 (293) | 36.5 (727) | 0.94 | 1.09 [0.92–1.29] | G | 31.9 (243) | 28.3 (564) | 0.07 | 1.19 [0.99–1.42] | ||
| ITGAM–ITGAX | rs11574637 | DEFA | rs10086568 | ||||||||
| TT | 69.0 (263) | 65.3 (651) | - | Ref. | GG | 43.6 (166) | 42.3 (422) | - | Ref. | ||
| TC | 26.5 (101) | 31.5 (314) | 0.09 | 0.80 [0.60–1.05] | GA | 44.9 (171) | 45.8 (456) | 0.71 | 0.95 [0.74–1.24] | ||
| CC | 4.5 (17) | 3.2 (32) | 0.37 | 1.31 [0.67–2.49] | AA | 11.5 (44) | 11.9 (119) | 0.76 | 0.94 [0.62–1.41] | ||
| T | 82.3 (627) | 81.0 (1616) | - | Ref. | G | 66.0 (503) | 65.2 (1300) | - | Ref. | ||
| C | 17.7 (135) | 19.0 (378) | 0.56 | 0.92 [0.74–1.14] | A | 34.0 (259) | 34.8 (694) | 0.69 | 0.96 [0.81–1.15] | ||
| VAV3 | rs17019602 | HORMAD2 | rs2412971 | ||||||||
| AA | 61.7 (235) | 59.7 (595) | - | Ref. | GG | 29.4 (112) | 27.3 (272) | - | Ref. | ||
| AG | 34.4 (131) | 35.5 (354) | 0.61 | 0.94 [0.72–1.21] | GA | 52.0 (198) | 51.2 (511) | 0.66 | 0.94 [0.71–1.25] | ||
| GG | 3.9 (15) | 4.8 (48) | 0.44 | 0.79 [0.40–1.47] | AA | 18.6 (71) | 21.5 (214) | 0.22 | 0.81 [0.56–1.16] | ||
| A | 78.9 (601) | 77.4 (1544) | - | Ref. | G | 55.4 (422) | 52.9 (1055) | - | Ref. | ||
| G | 21.1 (161) | 22.6 (450) | 0.42 | 0.92 [0.75–1.13] | A | 44.6 (340) | 47.1 (939) | 0.24 | 0.91 [0.77–1.07] | ||
| CARD9 | rs4077515 | ||||||||||
| CC | 35.2 (134) | 38.0 (379) | - | Ref. | |||||||
| CT | 49.1 (187) | 46.2 (461) | 0.30 | 1.15 [0.88–1.50] | |||||||
| TT | 15.7 (60) | 15.8 (157) | 0.67 | 1.08 [0.74–1.56] | |||||||
| C | 59.7 (455) | 61.1 (1219) | - | Ref. | |||||||
| T | 40.3 (307) | 38.9 (775) | 0.49 | 1.06 [0.89–1.26] |
IgAV: IgA vasculitis; SNP: single nucleotide polymorphism; OR: Odds Ratio; CI: confidence interval.
Table 2.
Haplotype analysis of mucosal immune defence polymorphisms in patients with IgAV and healthy controls.
Table 2.
Haplotype analysis of mucosal immune defence polymorphisms in patients with IgAV and healthy controls.
| ITGAM–ITGAX | IgAV, % | Healthy Controls, % | p | OR [95% CI] | |
|---|---|---|---|---|---|
| rs11150612 | rs11574637 | ||||
| G | T | 45.5 | 44.5 | - | Ref. |
| A | T | 36.8 | 36.5 | 0.89 | 0.99 [0.82–1.19] |
| G | C | 16.0 | 19.0 | 0.12 | 0.83 [0.65–1.06] |
| DEFA | IgAV, % (n) | Healthy controls, % (n) | p | ||
| rs2738048 | rs10086568 | ||||
| A | G | 42.7 | 42.9 | - | Ref. |
| A | A | 25.4 | 28.8 | 0.26 | 0.89 [0.72–1.09] |
| G | G | 23.3 | 22.3 | 0.64 | 1.05 [0.84–1.31] |
IgAV: IgA vasculitis; OR: odds ratio; CI: confidence interval. Haplotypes with a frequency higher than 10% are displayed in the table.
Table 3.
Genotype and allele analysis of mucosal immune defence polymorphisms in patients with IgAVN and healthy controls.
Table 3.
Genotype and allele analysis of mucosal immune defence polymorphisms in patients with IgAVN and healthy controls.
| Locus | SNP | IgAVN, % (n) | Healthy Controls, % (n) | p | OR [95% CI] | Locus | SNP | IgAVN, % (n) | Healthy Controls, % (n) | p | OR [95% CI] |
|---|---|---|---|---|---|---|---|---|---|---|---|
| ITGAM–ITGAX | rs11150612 | DEFA | rs2738048 | ||||||||
| GG | 38.2 (50) | 40.4 (403) | - | Ref. | AA | 48.9 (64) | 51.9 (517) | - | Ref. | ||
| GA | 44.3 (58) | 46.3 (461) | 0.95 | 1.01 [0.67–1.55] | AG | 42.0 (55) | 39.7 (396) | 0.56 | 1.12 [0.75–1.68] | ||
| AA | 17.5 (23) | 13.3 (133) | 0.22 | 1.39 [0.78–2.43] | GG | 9.1 (12) | 8.4 (84) | 0.67 | 1.15 [0.54–2.27] | ||
| G | 60.3 (158) | 63.5 (1267) | - | Ref. | A | 69.8 (183) | 71.7 (1430) | - | Ref. | ||
| A | 39.7 (104) | 36.5 (727) | 0.31 | 1.15 [0.87–1.50] | G | 30.2 (79) | 28.3 (564) | 0.53 | 1.09 [0.82–1.46] | ||
| ITGAM–ITGAX | rs11574637 | DEFA | rs10086568 | ||||||||
| TT | 72.5 (95) | 65.3 (651) | - | Ref. | GG | 42.7 (56) | 42.3 (422) | - | Ref. | ||
| TC | 23.7 (31) | 31.5 (314) | 0.07 | 0.68 [0.43–1.05] | GA | 44.3 (58) | 45.8 (456) | 0.83 | 0.96 [0.64–1.44] | ||
| CC | 3.8 (5) | 3.2 (32) | 0.89 | 1.07 [0.32–2.86] | AA | 13.0 (17) | 11.9 (119) | 0.80 | 1.08 [0.56–1.96] | ||
| T | 84.4 (221) | 81.0 (1616) | - | Ref. | G | 64.9 (170) | 65.2 (1300) | - | Ref. | ||
| C | 15.6 (41) | 19.0 (378) | 0.20 | 0.79 [0.54–1.13] | A | 35.1 (92) | 34.8 (694) | 0.92 | 1.01 [0.77–1.34] | ||
| VAV3 | rs17019602 | HORMAD2 | rs2412971 | ||||||||
| AA | 63.4 (83) | 59.7 (595) | - | Ref. | GG | 30.5 (40) | 27.3 (272) | - | Ref. | ||
| AG | 34.3 (45) | 35.5 (354) | 0.64 | 0.91 [0.60–1.36] | GA | 48.1 (63) | 51.2 (511) | 0.41 | 0.84 [0.54–1.32] | ||
| GG | 2.3 (3) | 4.8 (48) | 0.17 | 0.48 [0.09–1.44] | AA | 21.4 (28) | 21.5 (214) | 0.66 | 0.89 [0.51–1.53] | ||
| A | 80.5 (211) | 77.4 (1544) | - | Ref. | G | 54.6 (143) | 52.9 (1055) | - | Ref. | ||
| G | 19.5 (51) | 22.6 (450) | 0.26 | 0.83 [0.59–1.15] | A | 45.4 (119) | 47.1 (939) | 0.61 | 0.93 [0.72–1.22] | ||
| CARD9 | rs4077515 | ||||||||||
| CC | 35.9 (47) | 38.0 (379) | - | Ref. | |||||||
| CT | 43.5 (57) | 46.2 (461) | 0.99 | 0.99 [0.65–1.54] | |||||||
| TT | 20.6 (27) | 15.8 (157) | 0.21 | 1.39 [0.80–2.37] | |||||||
| C | 57.6 (151) | 61.1 (1219) | - | Ref. | |||||||
| T | 42.4 (111) | 38.9 (775) | 0.28 | 1.16 [0.88–1.51] |
IgAVN: IgA vasculitis with nephritis; SNP: single nucleotide polymorphism; OR: Odds Ratio; CI: confidence interval.
Table 4.
Haplotype analysis of mucosal immune defence polymorphisms in patients with IgAVN and healthy controls.
Table 4.
Haplotype analysis of mucosal immune defence polymorphisms in patients with IgAVN and healthy controls.
| ITGAM–ITGAX | IgAVN, % | Healthy Controls, % | p | OR [95% CI] | |
|---|---|---|---|---|---|
| rs11150612 | rs11574637 | ||||
| G | T | 45.9 | 44.5 | - | Ref. |
| A | T | 38.4 | 36.5 | 0.84 | 1.03 [0.77–1.38] |
| G | C | 14.4 | 19.0 | 0.13 | 0.74 [0.49–1.10] |
| DEFA | IgAVN, % (n) | Healthy Controls, % (n) | p | ||
| rs2738048 | rs10086568 | ||||
| A | G | 44.4 | 42.9 | - | Ref. |
| A | A | 25.5 | 28.8 | 0.35 | 0.86 [0.61–1.19] |
| G | G | 20.5 | 22.3 | 0.52 | 0.89 [0.62–1.27] |
IgAVN: IgA vasculitis with nephritis; OR: odds ratio; CI: confidence interval. Haplotypes with a frequency higher than 10% are displayed in the table.
Table 5.
Genotype and allele analysis of mucosal immune defence polymorphisms in patients with IgAV stratified according to clinical characteristics.
Table 5.
Genotype and allele analysis of mucosal immune defence polymorphisms in patients with IgAV stratified according to clinical characteristics.
| Age of Onset | GI Manifestations 1 | Renal Manifestations 2 | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Locus | SNP | Children, % (n) | Adults, % (n) | p | OR [95% CI] | Yes, % (n) | No, % (n) | p | OR [95% CI] | Yes, % (n) | No, % (n) | p | OR [95% CI] |
| ITGAM–ITGAX | rs11150612 | ||||||||||||
| GG | 39.1 (108) | 41.9 (44) | - | Ref. | 43.4 (85) | 35.9 (66) | - | Ref. | 38.2 (50) | 40.8 (102) | - | Ref. | |
| GA | 42.4 (117) | 45.7 (48) | 0.98 | 0.99 [0.59–1.66] | 41.8 (82) | 45.1 (83) | 0.24 | 0.77 [0.48–1.22] | 44.3 (58) | 42.8 (107) | 0.67 | 1.10 [0.68–1.81] | |
| AA | 18.5 (51) | 12.4 (13) | 0.19 | 1.60 [0.76–3.21] | 14.8 (29) | 19.0 (35) | 0.14 | 0.64 [0.34–1.21] | 17.5 (23) | 16.4 (41) | 0.67 | 1.14 [0.59–2.20] | |
| G | 60.3 (333) | 64.8 (136) | - | Ref. | 64.3 (252) | 58.4 (215) | - | Ref. | 60.3 (158) | 62.2 (311) | - | Ref. | |
| A | 39.7 (219) | 35.2 (74) | 0.26 | 1.21 [0.86–1.71] | 35.7 (140) | 41.6 (153) | 0.10 | 0.78 [0.58–1.06] | 39.7 (104) | 37.8 (189) | 0.61 | 1.08 [0.79–1.49] | |
| ITGAM–ITGAX | rs11574637 | ||||||||||||
| TT | 68.1 (188) | 71.4 (75) | - | Ref. | 65.8 (129) | 72.3 (133) | - | Ref. | 72.5 (95) | 67.2 (168) | - | Ref. | |
| TC | 27.6 (76) | 23.8 (25) | 0.47 | 1.21 [0.70–2.15] | 29.1 (57) | 23.9 (44) | 0.22 | 1.34 [0.82–2.18] | 23.7 (31) | 28.0 (70) | 0.33 | 0.78 [0.46–1.31] | |
| CC | 4.3 (12) | 4.8 (5) | 0.94 | 0.96 [0.30–3.59] | 5.1 (10) | 3.8 (7) | 0.44 | 1.47 [0.49–4.70] | 3.8 (5) | 4.8 (12) | 0.58 | 0.74 [0.20–2.34] | |
| T | 81.9 (452) | 83.3 (175) | - | Ref. | 80.4 (315) | 84.2 (310) | - | Ref. | 84.4 (221) | 81.2 (406) | - | Ref. | |
| C | 18.1 (100) | 16.7 (35) | 0.64 | 1.11 [0.71–1.74] | 19.6 (77) | 15.8 (58) | 0.16 | 1.31 [0.88–1.94] | 15.6 (41) | 18.8 (94) | 0.28 | 0.80 [0.52–1.22] | |
| VAV3 | rs17019602 | ||||||||||||
| AA | 60.5 (167) | 64.8 (68) | - | Ref. | 60.7 (119) | 63.0 (116) | - | Ref. | 63.4 (83) | 60.8 (152) | - | Ref. | |
| AG | 35.5 (98) | 31.4 (33) | 0.44 | 1.21 [0.73–2.03] | 34.7 (68) | 33.7 (62) | 0.76 | 1.07 [0.68–1.68] | 34.3 (45) | 34.4 (86) | 0.85 | 0.96 [0.60–1.54] | |
| GG | 4.0 (11) | 3.8 (4) | 0.85 | 1.12 [0.32–4.98] | 4.6 (9) | 3.3 (6) | 0.48 | 1.46 [0.45–5.15] | 2.3 (3) | 4.8 (12) | 0.23 | 0.46 [0.08–1.77] | |
| A | 78.3 (432) | 80.5 (169) | - | Ref. | 78.1 (306) | 79.9 (294) | - | Ref. | 80.5 (211) | 78.0 (390) | - | Ref. | |
| G | 21.7 (120) | 19.5 (41) | 0.50 | 1.14 [0.76–1.75] | 21.9 (86) | 20.1 (74) | 0.54 | 1.12 [0.78–1.61] | 19.5 (51) | 22.0 (110) | 0.42 | 0.86 [0.58–1.26] | |
| CARD9 | rs4077515 | ||||||||||||
| CC | 37.0 (102) | 30.5 (32) | - | Ref. | 37.8 (74) | 32.6 (60) | - | Ref. | 35.9 (47) | 34.8 (87) | - | Ref. | |
| CT | 47.1 (130) | 54.3 (57) | 0.19 | 0.72 [0.42–1.22] | 42.3 (83) | 56.0 (103) | 0.06 | 0.65 [0.41–1.05] | 43.5 (57) | 52.0 (130) | 0.39 | 0.81 [0.49–1.34] | |
| TT | 15.9 (44) | 15.2 (16) | 0.68 | 0.86 [0.41–1.87] | 19.9 (39) | 11.4 (21) | 0.20 | 1.51 [0.77–3.00] | 20.6 (27) | 13.2 (33) | 0.19 | 1.51 [0.77–2.94] | |
| C | 60.5 (334) | 57.6 (121) | - | Ref. | 58.9 (231) | 60.6 (223) | - | Ref. | 57.6 (151) | 60.8 (304) | - | Ref. | |
| T | 39.5 (218) | 42.4 (89) | 0.47 | 0.89 [0.63–1.24] | 41.1 (161) | 39.4 (145) | 0.64 | 1.07 [0.79–1.45] | 42.4 (111) | 39.2 (196) | 0.40 | 1.14 [0.83–1.56] | |
| DEFA | rs2738048 | ||||||||||||
| AA | 44.9 (124) | 51.4 (54) | - | Ref. | 46.4 (91) | 47.3 (87) | - | Ref. | 48.9 (64) | 45.6 (114) | - | Ref. | |
| AG | 43.5 (120) | 41.0 (43) | 0.42 | 1.22 [0.74–2.01] | 43.9 (86) | 41.3 (76) | 0.72 | 1.08 [0.69–1.69] | 42.0 (55) | 43.2 (108) | 0.67 | 0.91 [0.57–1.45] | |
| GG | 11.6 (32) | 7.6 (8) | 0.19 | 1.74 [0.72–4.66] | 9.7 (19) | 11.4 (21) | 0.68 | 0.86 [0.41–1.82] | 9.1 (12) | 11.2 (28) | 0.48 | 0.76 [0.33–1.68] | |
| A | 66.7 (368) | 71.9 (151) | - | Ref. | 68.4 (268) | 67.9 (250) | - | Ref. | 69.8 (183) | 67.2 (336) | - | Ref. | |
| G | 33.3 (184) | 28.1 (59) | 0.17 | 1.28 [0.89–1.85] | 31.6 (124) | 32.1 (118) | 0.90 | 0.98 [0.71–1.35] | 30.2 (79) | 32.8 (164) | 0.46 | 0.88 [0.63–1.24] | |
| DEFA | rs10086568 | ||||||||||||
| GG | 43.5 (120) | 43.8 (46) | - | Ref. | 45.4 (89) | 41.3 (76) | - | Ref. | 42.7 (56) | 44.0 (110) | - | Ref. | |
| GA | 47.1 (130) | 39.1 (41) | 0.43 | 1.22 [0.72–2.04] | 43.9 (86) | 46.2 (85) | 0.50 | 0.86 [0.55–1.36] | 44.3 (58) | 45.2 (113) | 0.97 | 1.01 [0.63–1.62] | |
| AA | 9.4 (26) | 17.1 (18) | 0.09 | 0.55 [0.26–1.18] | 10.7 (21) | 12.5 (23) | 0.46 | 0.78 [0.38–1.60] | 13.0 (17) | 10.8 (27) | 0.54 | 1.24 [0.58–2.58] | |
| G | 67.0 (370) | 63.3 (133) | - | Ref. | 67.3 (264) | 64.4 (237) | - | Ref. | 64.9 (170) | 66.6 (333) | - | Ref. | |
| A | 33.0 (182) | 36.7 (77) | 0.34 | 0.85 [0.60–1.20] | 32.7 (128) | 35.6 (131) | 0.39 | 0.88 [0.64–1.20] | 35.1 (92) | 33.4 (167) | 0.64 | 1.08 [0.78–1.50] | |
| HORMAD2 | rs2412971 | ||||||||||||
| GG | 27.5 (76) | 34.3 (36) | - | Ref. | 29.6 (58) | 29.3 (54) | - | Ref. | 30.5 (40) | 28.8 (72) | - | Ref. | |
| GA | 52.9 (146) | 49.5 (52) | 0.27 | 1.33 [0.77–2.27] | 51.5 (101) | 52.2 (96) | 0.93 | 0.98 [0.60–1.60] | 48.1 (63) | 54.0 (135) | 0.48 | 0.84 [0.50–1.41] | |
| AA | 19.6 (54) | 16.2 (17) | 0.23 | 1.50 [0.73–3.16] | 18.9 (37) | 18.5 (34) | 0.97 | 1.01 [0.54–1.92] | 21.4 (28) | 17.2 (43) | 0.61 | 1.17 [0.60–2.26] | |
| G | 54.0 (298) | 59.0 (124) | - | Ref. | 55.4 (217) | 55.4 (204) | - | Ref. | 54.6 (143) | 55.8 (279) | - | Ref. | |
| A | 46.0 (254) | 41.0 (86) | 0.21 | 1.23 [0.88–1.72] | 44.6 (175) | 44.6 (164) | 0.98 | 1.00 [0.75–1.35] | 45.4 (119) | 44.2 (221) | 0.75 | 1.05 [0.77–1.43] | |
IgAV: IgA vasculitis; SNP: single-nucleotide polymorphism; GI: gastrointestinal. 1 Bowel angina and/or gastrointestinal bleeding; 2 Hematuria, proteinuria, or nephrotic syndrome at any time over the clinical course of the disease and/or renal sequelae (persistent renal involvement) at the last follow-up.
Table 6.
Haplotype analysis of mucosal immune defence polymorphisms in patients with IgAV stratified according to clinical characteristics.
Table 6.
Haplotype analysis of mucosal immune defence polymorphisms in patients with IgAV stratified according to clinical characteristics.
| Age of Onset | GI Manifestations 1 | Renal Manifestations 2 | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| ITGAM–ITGAX | Children, % | Adults, % | p | OR [95% CI] | Yes, % | No, % | p | OR [95% CI] | Yes, % | No, % | p | OR [95% CI] | |
| rs11150612 | rs11574637 | ||||||||||||
| G | T | 43.9 | 49.9 | - | Ref. | 45.9 | 44.7 | - | Ref. | 45.9 | 45.3 | - | Ref. |
| A | T | 38.0 | 33.4 | 0.14 | 1.30 [0.90–1.89] | 34.4 | 39.5 | 0.32 | 0.85 [0.61–1.18] | 38.4 | 35.9 | 0.72 | 1.06 [0.75–1.49] |
| G | C | 16.5 | 14.8 | 0.31 | 1.27 [0.78–2.11] | 18.4 | 13.7 | 0.19 | 1.32 [0.85–2.05] | 14.4 | 16.9 | 0.49 | 0.86 [0.53–1.36] |
| DEFA | Children, % (n) | Adults, % (n) | p | OR [95% CI] | Yes, % (n) | No, % (n) | p | OR [95% CI] | Yes, % (n) | No, % (n) | p | OR [95% CI] | |
| rs2738048 | rs10086568 | ||||||||||||
| A | G | 43.2 | 41.4 | - | Ref. | 45.1 | 40.0 | - | Ref. | 44.4 | 41.9 | - | Ref. |
| A | A | 23.4 | 30.5 | 0.14 | 0.75 [0.50–1.12] | 23.2 | 28.0 | 0.09 | 0.73 [0.51–1.07] | 25.5 | 25.3 | 0.81 | 0.96 [0.65–1.41] |
| G | G | 23.9 | 21.9 | 0.89 | 1.03 [0.67–1.60] | 22.2 | 24.4 | 0.24 | 0.80 [0.55–1.18] | 20.5 | 24.7 | 0.25 | 0.79 [0.53–1.20] |
IgAV: IgA vasculitis; OR: odds ratio; CI: confidence interval; GI: Gastrointestinal. 1 Bowel angina and/or gastrointestinal bleeding; 2 Hematuria, proteinuria, or nephrotic syndrome at any time over the clinical course of the disease and/or renal sequelae (persistent renal involvement) at the last follow-up. Haplotypes with a frequency higher than 10% are displayed in the table.
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Batista-Liz, J.C.; Calvo-Río, V.; Sebastián Mora-Gil, M.; Sevilla-Pérez, B.; Márquez, A.; Leonardo, M.T.; Peñalba, A.; Carmona, F.D.; Narvaez, J.; Martín-Penagos, L.; et al. Mucosal Immune Defence Gene Polymorphisms as Relevant Players in the Pathogenesis of IgA Vasculitis? Int. J. Mol. Sci. 2023, 24, 13063. https://doi.org/10.3390/ijms241713063
AMA Style
Batista-Liz JC, Calvo-Río V, Sebastián Mora-Gil M, Sevilla-Pérez B, Márquez A, Leonardo MT, Peñalba A, Carmona FD, Narvaez J, Martín-Penagos L, et al. Mucosal Immune Defence Gene Polymorphisms as Relevant Players in the Pathogenesis of IgA Vasculitis? International Journal of Molecular Sciences. 2023; 24(17):13063. https://doi.org/10.3390/ijms241713063
Chicago/Turabian StyleBatista-Liz, Joao Carlos, Vanesa Calvo-Río, María Sebastián Mora-Gil, Belén Sevilla-Pérez, Ana Márquez, María Teresa Leonardo, Ana Peñalba, Francisco David Carmona, Javier Narvaez, Luis Martín-Penagos, and et al. 2023. "Mucosal Immune Defence Gene Polymorphisms as Relevant Players in the Pathogenesis of IgA Vasculitis?" International Journal of Molecular Sciences 24, no. 17: 13063. https://doi.org/10.3390/ijms241713063
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