| Literature DB >> 23819992 |
Susan Lester, Leanne Stokes, Kristen K Skarratt, Ben J Gu, Kathy L Sivils, Christopher J Lessard, James S Wiley, Maureen Rischmueller.
Abstract
INTRODUCTION: The aim of this study was to examine the association between functional polymorphisms in the pro-inflammatory P2X7 receptor and the Ro/La autoantibody response in primary Sjögren's syndrome (pSS).Entities:
Mesh:
Substances:
Year: 2013 PMID: 23819992 PMCID: PMC3979150 DOI: 10.1186/ar4248
Source DB: PubMed Journal: Arthritis Res Ther ISSN: 1478-6354 Impact factor: 5.156
P2RX7 SNPs genotyped in pSS patients and normal subjects
| # | ID | SNP | Exon | Protein | |
|---|---|---|---|---|---|
| 1 | rs35933842 | G151T | 1 | Intron 1 splice site | Loss |
| 2 | rs17525809 | T253C | 2 | V76A | Partial loss |
| 3 | rs28360447 | G474A | 5 | G150R | Loss |
| 4 | rs208294 | C489T | 5 | H155Y | Gain |
| 5 | rs7958311 | G835A | 8 | R270H | Partial loss |
| 6 | rs7958316 | G853A | 8 | R276H | Loss |
| 7 | rs28360457 | G946A | 9 | R307Q | Loss |
| 8 | rs1718119 | G1068A | 11 | A348T | Gain |
| 9 | rs2230911 | C1096G | 11 | T357S | Partial loss |
| 10 | rs2230912 | A1405G | 13 | Q460R | Gaina |
| 11 | rs3751143 | A1513C | 13 | E496A | Loss |
| 12 | rs1653624 | T1729A | 13 | I568N | Loss |
aThe minor allele 1405G is a tag for haplotype 4 (Figure 1). pSS, primary Sjögren's syndrome; SNP, single nucleotide polymorphism.
Frequency of the minor allele of P2RX7 A1405 G allele in pSS patients and controls
| Cohort | Group | Number | A1405G MAFa | Odds ratio (95% CI) | |
|---|---|---|---|---|---|
| Cohort 1 | Controls | 136 | 0.15 | 1 | |
| All pSS | 114 | 0.20 | 1.46 (0.91, 2.34) | 0.12 | |
| Seronegative pSS | 19 | 0.07 | 0.44 (0.13,1.52) | 0.22 | |
| Seropositive pSS | 95 | 0.23 | 1.78 (1.09, 2.92) | 0.02 | |
| Cohort 2 | Controls | 534 | 0.15 | 1 | |
| All pSS | 281 | 0.17 | 1.07 (0.79, 1.45)b | 0.64 | |
| Seronegative pSS | 82 | 0.21 | 1.35 (0.87, 2.10) b | 0.18 | |
| Seropositive pSS | 199 | 0.16 | 0.96 (0.68, 1.36) b | 0.83 |
aMAF, minor allele frequency; bprincipal components adjusted analysis; pSS, primary Sjögren's syndrome.
Epistasis between P2RX7 1405G and HLA DR3 in anti Ro±La seropositive primary Sjögren's syndrome (pSS)
| Seropositive pSS ( | Seropositive pSS ( | Seropositive ( | Seronegative pSS ( | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Cohort 1: | Cohort 2: DR3 proxy SNPa | Cohort 2: DR3 SSPa | Cohort 2: DR3 proxy SNPa | |||||||||
| Term | β | SE |
| β | SE |
| β | SE |
| β | SE |
|
| β0 (Intercept 1) | -1.64 | 0.28 | <0.001 | -0.01 | 2.64 | 1 | -3.97 | 4.31 | 0.36 | 1.04 | 3.32 | 0.75 |
| β1 (DR3-pos) | 2.23 | 0.37 | <0.001 | 1.35 | 0.21 | <0.001 | 1.39 | 0.37 | <0.001 | 0.28 | 0.33 | 0.40 |
| β2 ( | 1.11 | 0.38 | 0.003 | 0.26 | 0.22 | 0.24 | 0.25 | 0.34 | 0.46 | 0.29 | 0.27 | 0.28 |
| β3 (DR3*1405G) | -1.27 | 0.53 | 0.016 | -0.76 | 0.35 | 0.027 | -1.27 | 0.56 | 0.023 | 0.02 | 0.47 | 0.96 |
aAnalysis performed using principle components adjustment for possible ancestry differences. The combined effect of these alleles was examined by two-factor interaction logistic regression (DR3*1405G) in both cohorts for the data tabulated in Additional File 1, Table S3. DR3 was coded positive (pos) or negative, and additive genetic coding was used for 1405G. The regression coefficients β1 and β2 represent the loge odds ratios for individuals who carry DR3 alone and 1405G alone, relative to individuals who carry neither. The interaction term, β3, represents the deviation from the expected log odds ratio for individuals who carry both alleles, and is the test for epistasis between 1405G and DR3. Different analyses were required to accommodate differences in the available data for DR3 status. The results demonstrate that DR3 (β2), or proxy, is a significant risk factor for seropositive pSS, but not seronegative pSS. Further, there is a negative epistatic interaction between DR3 (or proxy) and P2RX7 1405G (β3) specifically in seropositive pSS. However, the association of the 1405G allele with seropositive pSS (in the absence of DR3, β2), observed in Cohort 1, was not replicated in Cohort 2. SE, standard error.
Figure 1Common (>5% frequency) . Grey squares represent the major alleles and black squares the minor alleles, for each single nucleotide polymorphism. Numbering of polymorphisms are based on the original mRNA sequence [Y09561.1; GenBank]. Six major haplotypes were identified with a combined frequency of 70%.
Figure 2Human peripheral blood mononuclear cells were analysed for ATP-induced ethidium uptake using time-resolved flow cytometry. Monocytes were identified by an anti-CD14 APC antibody and T lymphocytes were identified by an anti-CD3-PE antibody. Ethidium uptake (25 μM) was measured in response to P2X7 receptor stimulation by 1mM ATP. (A) and (C) are representative ethidium uptake curves from genotyped individuals. (B) and (D) are scattergrams of collated data from 5 to 18 subjects from each genotype group (number of subjects shown in brackets) with ATP-induced ethidium uptake calculated from the slope of the linear portion of the uptake plot over 1 minute. *P < 0.05 from one-way analysis of variance with Dunnett's post hoc test.
Figure 3Boxplots of serum IL-18 levels (pg/mL) in controls (. Serum IL-18 levels were significantly different between the three groups (P = 0.0003, Kruskal-Wallis test), and highest in autoantibody-positive pSS.