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CD4+CD25+ regulatory T cells play an essential role in maintaining immune homeostasis and preventing autoimmunity. Therefore, defects in Treg development, maintenance or function have been associated with several human autoimmune diseases including Systemic Lupus Erythematosus (SLE), a systemic autoimmune disease characterized by loss of tolerance to nuclear components and significantly more frequent in females.
To investigate the involvement of Treg in SLE pathogenesis, we determined the frequency of CD4+CD25+CD45RO+ T cells, which encompass the majority of Treg activity, in the PBMC of 148 SLE patients (76 patients were part of 54 families), 166 relatives and 117 controls. SLE patients and their relatives were recruited in several Portuguese hospitals and through the Portuguese Lupus Association. Control individuals were blood donors recruited from several regional blood donor centers. Treg frequency was significantly lower in SLE patients than healthy controls (z = -6.161,
SLE patients have impaired Treg production or maintenance, a trait strongly associated with SLE disease activity and autoantibody titers, and possibly resulting from the inability to convert FOXP3+CD25- into FOXP3+CD25+ T cells. Treg frequency is highly heritable within SLE families, with specific variants of the
Immunological tolerance is a key feature of the immune system that allows the organism to discriminate self from nonself, providing defense against foreign pathogens while preventing autoimmunity. This ability of the immune system is controlled by mechanisms of central and peripheral tolerance. Central tolerance involves deletion of self-reactive T cells in the thymus at an early stage of development [
T cells expressing the high affinity T Cell Receptor (TCR) for antigens expressed on the thymic epithelium [
In humans, Treg are highly enriched in the cellular subset expressing CD4, the α chain of the IL-2 receptor (CD25) and the memory marker CD45RO [
SLE is a chronic systemic autoimmune disease with unknown etiology, and thought to result from the interplay between genetic and environmental factors [
SLE patients and their relatives were recruited in several hospitals throughout Portugal in collaboration with the Portuguese Lupus Association. A total of 148 SLE patients (136 females and 12 males) were enrolled in the present study. 76 of the SLE patients were part of 54 families, from which 166 relatives (98 females and 68 males) were also included in the study. All patients met the revised 1997 American College of Rheumatology criteria for SLE [
SLE survey questionnaire and percentage of patients and relatives that gave a positive answer to each question.
| SLE survey questionnaire | Positive answers | |
| % of Patients | % of Relatives | |
| 1. Have you ever had painful swollen joints for more than three months? | 65.0 | 13.6 |
| 2. Do your fingers ever change color, become numb or uncomfortable in the cold? | 63.3 | 26.4 |
| 3. Have you ever had mouth ulcers for more than two weeks? | 40.0 | 18.6 |
| 4. Have you ever been told that you have low blood counts (anemia, low white cell count or low platelet count)? | 71.7 | 15.0 |
| 5. Have you ever had an obvious or prominent rash on your cheeks for more than a month? | 71.7 | 9.3 |
| 6. Do you develop a distinct rash in the sun (not just sunburn)? | 66.7 | 10.0 |
| 7. Has it ever been painful to take a deep breath for more than just a few days (pleurisy)? | 33.3 | 4.3 |
| 8. Have you ever been told that you have protein in the urine? | 26.7 | 0.0 |
| 9. Do you find a lot of hair on your pillow on waking? | 43.0 | 10.7 |
| 10.Have you ever had a seizure, convulsion or fit? | 3.0 | 0.7 |
PBMC were isolated using Vacutainer CPT™ tubes (Becton Dickinson). For the CD4CD25CD45RO staining 1 × 106 cells were fixed in 2% PFA, washed twice in PBS 2% FCS and subsequently incubated for 20 min at 4°C with the optimal dilution of each conjugated anti-human mAb (CD4-FITC, CD25-Cy-chrome, CD31-PE and CD45RO-APC, Becton Dickinson). Cells were washed again and fluorescence intensity staining was analyzed using a FACScan flow cytometer (FACScalibur™ and CellQuest™ software, Becton Dickinson). CD4+CD25+ T cells were defined, for all the individuals, as the population of CD4 positive T cells whose CD25 expression exceeded the level of CD25 positivity seen in the CD4 negative T cells. The CD4-FITC, CD25-APC, FOXP3-PE staining was performed according to eBioscience manufacture protocol.
Reacti-Bind™ EIA plates (Pierce) were coated overnight at 4°C with 1 mg/mL purified dsDNA (Sigma-Aldrich). The plates were blocked with a solution of 1% gelatin for 5 h at 4°C and incubated overnight at 4°C with test plasma (in triplicates) at a total protein concentration was 0.5 mg/mL. Plates were then incubated overnight at 4°C with 50 μL of alkaline phosphatase-conjugated anti-human IgG (Sigma-Aldrich) and bound IgG was revealed using 1 mg/mL
Genomic DNA was isolated from PBMC by standard methods. The polymorphic markers tested were selected for their putative role in gene expression or function. Within the
Total RNA was isolated from 5 × 106 PBMC using the RNeasy Mini Kit (QIAGEN). The first strand cDNA was generated by reverse transcription with oligo dT primer (Invitrogen). The CTLA-4, TGF-β, FOXP3, IL-2 and CD25 mRNA levels were quantified with the LightCycler (Roche Molecular Biochemicals) in 33 patients and 24 controls, which were representative of the total population sample. 50 ng of first-stranded cDNA were amplified and real-time fluorimetric intensity of SYBR green I was monitored. RT-PCR reactions consisted in an initial denaturation step at 95°C for 10 minutes followed by 45 cycles of denaturation at 95°C for 15 seconds, 56°C for 5 seconds and 72°C for 23 seconds. The individual samples were standardized by the amount of HPRT RNA. This RT-PCR reaction consisted on an initial denaturation step at 95°C for 10 minutes followed by 45 cycles of denaturation at 95°C for 15 seconds, 60°C for 5 seconds and 72°C for 23 seconds. Additionally, CTLA-4 and CD25 mRNA expression levels were normalized by the proportion of CD4+ cells, given that these molecules are mainly expressed by CD4+ T cells.
Nonparametric analysis of variance was performed using the Mann-Whitney U and Kruskal-Wallis tests to compare the distributions of T cell frequencies in patients and controls. Results were considered significant at the 0.05 level. Heritability estimation was performed by the SOLAR software [
The previous observation that a CD4+CD25+ T cell subpopulation expressing the CD45RO activation marker exhibits 75% higher suppressive activity [
SLE affects primarily women and consequently only about 10% of our patients are male, while our control population is balanced in terms of gender. We therefore tested whether this gender bias was not a confounding factor in our interpretation. CD4+CD25+CD45RO+ T cell frequency was significantly lower in healthy females than in males (Mann-Whitney U test: z = 4.121,
CD25 is a marker for both Treg and activated cells. To rule out the possibility that this T cell population is mainly constituted by activated cells we measured the frequency of the CD4+CD45RO+ T cells, since CD45RO expression is associated with early activation events. No difference was found in the frequency of CD4+CD45RO+ cells between patients and controls (Mann-Whitney U test: z = -1.724,
To exclude a global thymic output defect, we evaluated the percentage of recent thymic emigrants (RTE) inside the CD4+ population using the phenotypic markers CD45RO-CD31+ [
Given the major involvement of FOXP3 in the differentiation and function of Treg, we analyzed the frequency of FOXP3+ cells in a subset of 19 patients and 10 healthy individuals. While the frequency of FOXP3+ cells in CD4+PBMC was not significantly different between patients and controls (Figure
Autoantibody production against dsDNA is a hallmark of SLE. We therefore analyzed the plasma immunoreactivity profiles against dsDNA from SLE patients, relatives and healthy individuals. Overall, there is a negative correlation between Treg frequency and anti-dsDNA in the total population (ρ = -0.19,
The CD4+CD25+CD45RO+ T cell frequency was inversely correlated with disease activity measured by the SLEDAI index (ρ = -0.502,
In two SLE patients variations in CD4+CD25+CD45RO+ T cell frequency as a function of disease onset and progression and with treatment were evaluated. A 33-year-old Caucasian woman was initially enrolled in this study as a healthy relative of an SLE patient. At the time of recruitment, the frequency of CD4+CD25+CD45RO+ T cells in this subject was 4.60% (Figure
Relatives of SLE patients presented intermediate CD4+CD25+CD45RO+ T cell frequencies between patients and controls (Figure
A high CD4+CD25+CD45RO+ T cell frequency heritability, defined as the proportion of variation of this trait attributable to genetic factors, was estimated at 0.85 ± 0.09 (
The evidence for familiar transmission prompted us to test putative functional polymorphisms in the candidate genes
Distribution of Treg frequency according to genotypes of the
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| A/A | 39(13.22) | 3.30 | ||
| A/G | 115(38.98) | 2.98 | 1.24 | 0.537 |
| G/G | 141 (47.80) | 2.80 | ||
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| 88/88 | 100 (38.02) | 3.10 | ||
| 88/104 | 9 (3.42) | 2.66 | ||
| 88/106 | 26 (10.27) | 2.58 | 40.57 | 0.0009 |
| 104/104 | 3 (1.14) | 2.54 | ||
| 106/106 | 5 (1.90) | 4.01 | ||
| Rare | 119 (45.25) | 2.81 | ||
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| C/C | 37(12.38) | 3.55 | ||
| C/T | 122 (40.80) | 2.94 | 0.427 | 0.808 |
| T/T | 140 (46.82) | 3.27 | ||
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| G/G | 255 (86.44) | 3.29 | 8.10 | 0.004 |
| G/C | 41 (13.56) | 2.10 | ||
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| 1/4 | 3 (1.42) | 2.54 | ||
| 1/5 | 2 (0.95) | 2.65 | ||
| 4/4 | 68 (32.23) | 3.15 | ||
| 4/5 | 76 (36.02) | 2.77 | ||
| 4/6 | 21 (9.96) | 2.58 | 9.06 | 0.911 |
| 4/7 | 3 (1.42) | 5.22 | ||
| 5/5 | 26 (12.32) | 2.59 | ||
| 5/6 | 6 (2.84) | 2.08 | ||
| Rare | 6 (2.84) | 3.22 | ||
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| 1/3 | 3 (1.59) | 2.87 | ||
| 1/4 | 4 (2.10) | 3.79 | ||
| 3/3 | 77 (40.74) | 3.10 | ||
| 3/8 | 5 (2.65) | 2.54 | ||
| 3/10 | 10 (5.29) | 3.17 | ||
| 3/12 | 13 (6.88) | 2.99 | ||
| 3/13 | 11 (5.82) | 2.36 | ||
| 3/14 | 43 (22.75) | 2.51 | 9.06 | 0.911 |
| 3/15 | 3 (1.59) | 3.16 | ||
| 3/16 | 8 (4.23) | 3.54 | ||
| 3/18 | 3 (1.59) | 2.74 | ||
| 3/19 | 2 (1.06) | 3.50 | ||
| 7/13 | 2 (1.06) | 3.76 | ||
| 8/14 | 2 (1.06) | 2.00 | ||
| Rare | 3 (1.59) | 3.19 | ||
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| G/G | 137 (47.90) | 3.55 | ||
| G/T | 121 (42.31) | 3.81 | 1.906 | 0.386 |
| T/T | 28 (9.79) | 3.33 | ||
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| G/G | 28 (9.82) | 3.04 | ||
| G/T | 101 (35.44) | 3.81 | 0.944 | 0.624 |
| T/T | 156 (54.74) | 3.16 | ||
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| 1/1 | 7 (2.54) | 2.58 | ||
| 1/2 | 57 (20.73) | 3.08 | ||
| 1/3 | 1 (0.36) | 4.06 | ||
| 1/4 | 28 (10.18) | 2.92 | ||
| 1/5 | 21 (7.64) | 3.37 | ||
| 2/2 | 35 (12.73) | 3.65 | 14.932 | 0.312 |
| 2/4 | 62 (22.54) | 3.51 | ||
| 2/5 | 32 (11.64) | 3.25 | ||
| 3/4 | 3 (1.09) | 2.51 | ||
| 4/4 | 11 (4.00) | 2.68 | ||
| 4/5 | 16 (5.82) | 2.55 | ||
| 5/5 | 2 (0.73) | 5.77 | ||
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| A/A | 140 (83.83) | 4.29 | 0.008 | 0.931 |
| A/G | 27 (16.17) | 4.23 | ||
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| C/C | 50 (25.25) | 4.43 | ||
| C/T | 110 (55.56) | 3.67 | 2.110 | 0.348 |
| T/T | 38 (19.19) | 3.51 | ||
N represents the number of individuals.
Both the
Genetic association between
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χ2 |
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| G | 293 (96.7) | 233 (100) | - | ||
| A | 10 (3.3) | 0 (0.0) | 6.137 | 0.013 | - |
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303 (100) | 233 (100) | |||
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| 1 | 7 (2.3) | 4 (1.7) | 0.04 | 0.84 | 1.38 (0.40–4.78) |
| 4 | 189 (61.6) | 121 (50.2) | 6.63 | 0.01 | 1.59 (1.13–2.24) |
| 5 | 97 (31.6) | 93 (38.6) | 2.61 | 0.10 | 0.74 (0.52–1.05) |
| 6 | 11 (3.6) | 19 (7.9) | 4.03 | 0.04 | 0.24 (0.11–0.52) |
| Rare | 3 (0.9) | 4 (1.6) | 0.10 | 0.75 | 0.81 (0.18–3.63) |
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307 (100) | 241 (100) | 10.3 | 0.036 | |
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| 3 | 188 (63.7) | 137 (57.9) | 1.65 | 0.20 | 1.28 (0.90–1.82) |
| 8 | 6 (2.0) | 6 (2.6) | 0.01 | 0.92 | 0.80 (0.25–2.49) |
| 10 | 13 (4.4) | 4 (1.7) | 2.27 | 0.13 | 2.66 (0.86–8.28) |
| 12 | 17 (5.8) | 21 (8.9) | 1.53 | 0.22 | 0.99 (0.54–1.80) |
| 13 | 7 (2.4) | 7 (3.0) | 0.03 | 0.87 | 0.79 (0.27–2.29) |
| 14 | 46 (15.6) | 38 (16.2) | <0.01 | 0.95 | 0.96 (0.60–1.53) |
| 15 | 3 (1.0) | 5 (2.1) | 0.43 | 0.51 | 0.47 (0.11–2.00) |
| 16 | 7 (2.4) | 9 (3.8) | 0.52 | 0.47 | 0.61 (0.22–1.66) |
| 18 | 0 (0.0) | 5 (2.1) | 4.26 | 0.04 | - |
| Rare | 8 (2.7) | 4 (1.7) | 0.23 | 0.63 | 1.61 (0.48–5.41) |
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295 (100) | 235 (100) | 14.77 | 0.10 | |
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| GG | 136 (93.8) | 77 (100) | 3.51 | 0.06 | - |
| GA | 8 (5.5) | 0 (0.0) | 2.96 | 0.09 | - |
| AA | 1 (0.7) | 0 (0.0) | 0.11 | 0.74 | - |
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145 (100) | 77 (100) | 4.98 | 0.08 | |
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| 4/4 | 50 (33.8) | 22 (25.3) | 1.48 | 0.22 | 1.50 (0.83–2.72) |
| 4/5 | 63 (42.6) | 35 (40.2) | 0.05 | 0.83 | 1.10 (0.64–1.88) |
| 4/6 | 9 (6.1) | 6 (6.9) | <0.01 | 0.98 | 0.87 (0.30–2.55) |
| 5/5 | 12 (8.1) | 13 (14.9) | 2.02 | 0.16 | 0.50 (0.21–1.16) |
| Rare | 14 (9.4) | 11 (12.7) | 0.30 | 0.50 | 0.72 (0.31–1.67) |
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148 (100) | 87 (100) | 4.35 | 0.36 | |
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| 3/3 | 59 (33.8) | 28 (33.3) | 0.72 | 0.40 | 1.33 (0.76–2.32) |
| 3/12 | 8 (5.4) | 5 (6.0) | 0.02 | 0.90 | 0.90 (0.29–2.85) |
| 3/13 | 6 (4.1) | 4 (4.8) | 0.01 | 0.94 | 0.85 (0.23–3.08) |
| 3/14 | 32 (21.6) | 16 (19.1) | 0.09 | 0.77 | 1.17 (0.60–2.29) |
| 3/15 | 2 (1.4) | 3 (3.6) | 0.38 | 0.54 | 0.38 (0.06–2.32) |
| 3/16 | 5 (3.4) | 3 (3.6) | 0.09 | 0.77 | 0.94 (0.22–4.05) |
| 3/18 | 0 (0.0) | 5 (6.0) | 6.4 | 0.01 | - |
| 14/14 | 4 (2.7) | 3 (3.6) | <0.01 | 0.98 | 0.75 (0.16–3.43) |
| Rare | 32 (21.6) | 17 (20.2) | 0.01 | 0.94 | 1.09 (0.56–2.10) |
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148 (100) | 84 (100) | 11.1 | 0.10 | |
Allele and genotype frequencies, χ2 test and Odds Ratio for the
Taken together these results indicate that
No correlation was found between CTLA-4, TGF-β, IL-2 or CD25 expression levels and the frequency of CD4+CD25+CD45RO+ T cells, disease status or marker genotypes (data not shown). There was a trend towards higher levels of FOXP3 mRNA in SLE patients, although not significant (Mann-Whitney U-test: z = -1.78,
The present study supports and expands previous observations of decreased CD4+CD25+CD45RO+ T cell frequency in SLE patients. It further demonstrates a clear gender difference in the distribution of this regulatory T cell subset and provides evidence suggesting that CD4+CD25+CD45RO+ T cell frequency variation may result from a defect in the conversion of FOXP3+CD25- into FOXP3+CD25+cells. CD4+CD25+CD45RO+ T cell frequency is shown to be negatively correlated with disease activity and with anti-dsDNA antibodies in the patient and control groups, and to change with development and remission of SLE symptoms in two documented cases. The study also established that the frequency of CD4+CD25+CD45RO+ T cells is highly heritable in families affected with SLE, that it is negatively correlated with the severity of SLE-associated manifestations in patients and relatives, and that it is influenced by genetic variants in the
We initially analyzed the frequency of Treg with the available anti-CD25 an CD45RO antibodies as described by Jonuleit et al. [
The percentage of CD45RO-CD31+ RTE was not correlated with disease or with CD4+CD25+CD45RO+ T cell frequency, ruling out a defect in thymic export. The faster decrease rate of CD4+CD25+ CD31+ cells in SLE patients, however, is indicative of a specific thymic defect leading to a decreased Treg production and thus contributing to the lower frequency of these cells in the periphery. The observed decrease of CD4+CD25+CD45RO+ T cell frequency in patients might also result from cell migration to the sites of inflammation. However, this hypothesis seems unlikely because patients with rheumatoid arthritis display enriched CD4+CD25+CD45RO+ T cells not only in inflamed joints but also in peripheral blood [
The difference found in CD4+CD25+CD45RO+ T cell frequency between males and females is remarkable, given the much higher prevalence of SLE in females. This difference is very significant in the control population, suggesting this may be a gender specific trait that renders females more susceptible to SLE. The lack of significance in the patient group may be due to the very small number of males, while in the relatives' group this might be explained by the high heterogeneity of this population, where only some individuals carry the disease susceptibility factors.
The significant negative correlation of CD4+CD25+CD45RO+ T cell frequency with anti-dsDNA antibodies observed in the patients and in the relatives suggests that these cells may be able to inhibit antinuclear antibody production by B cells, and therefore an additional mechanism through which loss of immunological tolerance may be achieved in SLE. This phenomenon may also occur in the relatives, but the fact that they display a positive correlation between CD4+CD25+CD45RO+ T cell frequency and anti-dsDNA antibodies may represent a compensation effect in which the relatives' are able to overcome this pathogenic mechanism.
CD4+CD25+CD45RO+ T cell frequency was also associated with disease activity and with the extent of clinical manifestations. This suggests a direct involvement in disease development and prognosis, which is corroborated by the variation observed with onset and remission of symptoms in the two documented cases. The frequency of CD4+CD25+CD45RO+ T cells was not associated with the use of immunosuppressive drugs. Whether these therapies affect basal frequencies of Treg was not addressed in the present work as it would require longitudinal studies. Interestingly, in one case the clinical improvement that followed IVIg administration was associated with increased CD4+CD25+CD45RO+ T cell frequency, suggesting that this treatment may influence Treg generation or maintenance [
The CD4+CD25+CD45RO+ T cell frequency was highly heritable in the affected families and was also strongly correlated with the extent of autoimmune manifestations in patients and in affected and unaffected relatives, in concordance with the clustering of autoimmune diseases and/or autoimmune-related phenotypes observed in these families. These findings are of particular importance because they show a contribution of genetic factors to the decrease in CD4+CD25+CD45RO+ T cell frequency and thus substantiate a genetic basis for SLE. Although we still cannot establish whether the decrease in CD4+CD25+CD45RO+ T cells is a cause or a consequence of autoimmune manifestations in SLE, we show evidence for the existence of genetic factors that, by influencing this trait, may contribute to SLE.
The frequency of CD4+CD25+CD45RO+ T cells likely results from a combination of processes regulating their expansion and survival in the periphery, and therefore multiple genetic factors may contribute to this trait. This study provided evidence for an involvement of the
In mouse models the generation and expansion of Treg are dependent on CTLA-4 and TGF-β respectively, [
Other Treg specific candidate genes that may contribute to the determination of the size of the Treg pool are the
The
In conclusion, we report that low peripheral CD4+CD25+CD45RO+ T cell frequency is a genetically determined predisposing factor for SLE development. Our results demonstrate the contribution of specific genes and suggest pathways involved in the establishment of CD4+CD25+CD45RO+ T cell frequency. Whether a defect in number or function is a prerequisite for SLE development remains to be understood. Most importantly, our findings open new perspectives for therapy for SLE patients based on the manipulation of Treg. Criteria for the selection of candidate patients for Treg based therapy remains to be fully established but likely should include evaluation of Treg frequency and analysis of genes involved in Treg generation or maintenance, strongly benefiting the management of this autoimmune disease.
MB planed and conducted experiments, prepared the database, performed the statistical analyses and wrote the manuscript; RCF and LL conducted experiments; MFF and CC conducted experiments and performed clinical evaluation of patients and their relatives; ES and MA collected samples, performed clinical evaluation of patients and their relatives and prepared the database; BM, RA, and CV selected families for the study and supervised the blood collection; CF participated in the experimental design, selected families for the study, performed clinical evaluation of patients and their relatives and discussed the results; JFV participated in the autoantibody experiments; LMV collected samples and revised the manuscript; JD participated in the experimental design, discussed the results and wrote the manuscript; AV supervised the overall project, participated in the experimental design, discussed the results and wrote the manuscript. All authors read and approved the final manuscript.
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The authors would like to thank Isabel Reis, Ana Tam, Maria João Antunes, the Associação dos Doentes com Lupus, and also Leonor Miranda, for their precious help in the recruitment of patients and collection of blood samples. We also thank the Serviço de Imunohemoterapia, Hospital Egas Moniz, as well as all the blood donors for their participation in this study. The authors thank Sofia Marques for her help in the mRNA experiments, Isabel Marques for her bioinformatics support and António Coutinho for advice and critical reading of the manuscript. M. Barreto was supported by Fundação para a Ciência e Tecnologia.