Abstract
Background
The increase in life expectancy within the general population has resulted in an increasing number of elderly adults, including patients with Down syndrome (DS), with a current life expectancy of about 50 years. We evaluate the parameters of humoral and cellular immune response, the quantitative expression of the regulator of calcineurin1 gene (RCAN1) and the production of cytokines. The study group consisted of adults DS (n = 24) and a control group with intellectual disability without Down syndrome (ID) (n = 21) and living in a similar environmental background. It was evaluated serology, immunophenotyping, the quantitative gene expression of RCAN1 and the production of cytokines.
Results
In the DS group, the results showed an increase in NK cells, CD8, decreased CD19 (p < 0.05) and an increase spontaneous production of IFNgamma, TNFalpha and IL-10 (p < 0.05). There was not any difference in RCAN1 gene expression between the groups.
Conclusions
These data suggest a similar humoral response in the two groups. The immunophenotyping suggests sign of premature aging of the immune system and the cytokine production show a proinflammatory profile.
Introduction
The increase in life expectancy of the general population has resulted in an increasing number of elderly adults, including patients with Down syndrome (DS), with a current life expectancy of about 50 years [1]. The death causes in adults with DS are different from the ones of the general population. Alzheimer's disease (AD), congenital heart defects, aspiration, pneumonia are among the most frequent when compared to solid tumors and ischemic heart disease [2-6]. The association with leukemia decreases with age and it is not apparent after the age of 40 [1]. Older DS have an increased susceptibility to infections. However, most individuals with this syndrome do not show clear features of immunological diseases. Many of these immunological alterations are age-related changes and can be enclosed in the spectrum of multiple signs of early senescence, which is characteristic of the DS [7]. The immunological response varies in the aging process. In children over the age of 6, the absolute number of IgG and IgA increases. IgM rates decrease in adolescence and throughout the aging process, there is a low number of circulating B cells (CD19), a decrease of CD4+, an increase of CD8 and NK cells. In DS, granulocyte apoptosis is accelerated in various conditions. T-cells with the early apoptotic phenotype were increased in cell cultures from DS children [8,9]. The response against vaccinal antigens and other antigens such as pertussis, rubella, measles, hepatitis A and B was better in DS patients when compared with other groups [10-14]. However other studies disagree with this affirmation [15-18].
It was proposed a model suggesting that, in Down syndrome, the overexpression of chromosome 21 encoded gene products leads to an impairment of the immunological response [19]. However, there are few studies about immunological parameters in older adults with DS. This extra copy of HSA21 may be responsible for the increased expression of many genes encoded on this chromosome. The trisomy of chromosome 21 is characterized by multiple signs of early senescence which justify its inclusion within the group of "segmental progeroid syndromes," defined as those genetic disorders in which multiple major aspects of the senescent phenotype appear [20,21]. The regulator of calcineurin 1 gene, RCAN1, is present in the specific region in the HSA21 that was described as containing the genes responsible for phenotypic characteristics of the syndrome. The RCAN1 gene product interacts physically with calcineurin A, a catalytic subunit of the Ca (2+)/calmodulin-dependent protein phosphatase PP2B and inhibits its activity [22]. The dephosphorylation of the nuclear factors of activated T cells (NFATs) by calcineurin is essential for activating cytokine gene expression and, consequently, the immune response. Although the effects of RCAN1 on the immune system have not yet been directly examined, the therapeutic benefits of other calcineurin inhibitors have been examined in a variety of conditions [23]. Current immunosuppressive protocols are based mainly on the administration of the calcineurin enzyme inhibitors cyclosporine A and FK506 [24]. The RCAN1 gene consists of seven exons, four of which (exons 1-4) can be alternatively spliced to produce a number of different mRNA isoforms, since exons 5-7 are likely to be common in each mRNA isoform. These isoforms may have different expression patterns, functions and regulation mechanisms. The expression of exon 2 was detected in fetal, but not adult, human brain and calcineurin can induce the expression of RCAN1 isoform 4 mRNA, but it does not induce the other isoforms [25]. There is no study examining the quantitative expression of RCAN1 in adults with DS and its association with cytokines production. The purpose of this study was to evaluate the aspects of humoral and cellular responses, as well as, to look into the quantitative expression of the calcineurin1 (RCAN1) regulator with relation to cytokine production in peripheral mononuclear cells in adults with DS and the ones with intellectual disabilities (ID) due to other causes and who were monitored in the same institution, Associação de Pais e Amigos dos Excepcionais (APAE-SP).
Results
1) Serology
The IgG, IgA, IgM, cRP, ASO frequencies and the complement fraction (C3, C4) were similar in the serum of both groups analyzed. Similarly, there were no difference in the antibody levels against cytomegalovirus, mononucleosis, toxoplasmosis and hepatitis B antigens, measles and rubella vaccines (p > 0.05) (Table 1).
Table 1.
Serology | Down syndrome(DS) (%) | Intellectual disabilities (ID) (%) | p value* |
---|---|---|---|
IgG (mg/dl) | 25 | 5 | 0.13 |
IgM, mg/dl | 9 | 30 | 0.37 |
IgA, mg/dl | 41 | 15 | 0.11 |
C3, mg/dl | 35 | 50 | 0.49 |
C4, mg/dl | 28 | 11 | 0.36 |
cRP, mg/l | 21 | 52 | 0.06 |
ASO, UI/ml | 64 | 33 | 0.07 |
Infectious monucleosis (IgG), UA/ml | 78 | 90 | 0.37 |
Toxoplasmosis(IgG), UI/ml | 35 | 60 | 0.29 |
HepatitisB (AntiHBS)UI/ml | 0 | 4 | 1 |
Measles (IgG), UI/ml | 100 | 100 | 1 |
Rubella (IgG), UI/ml | 71 | 89 | 0.36 |
Cytomegalovirus(IgG), UI/ml | 78 | 79 | 1 |
* Fisher test
2) Immunophenotype
The CD3 and CD14 percentages were similar in both groups. The results showed lower percentage of B lymphocytes (CD19+) in DS compared to ID individuals. In contrast, higher percentages of CD8+ T cells; ratio CD4:CD8 was (1:1) and NK cells were detected on DS compared to ID individuals with significance difference (p < 0.05); (Table 2).
Table 2.
Imunophenotype | Down syndrome(DS) n = 19 | Intellectual disabilities(ID) n = 20 | p value* |
---|---|---|---|
CD3 | 69.77 ± 8.01 | 64.86 ± 10.53 | 0.11 |
CD4 | 40.96 ± 12.68 | 43.48 ± 11.00 | 0.51 |
CD8 | 34.38 ± 15.38* | 22.47 ± 8.78* | 0.005 |
CD19 | 3.63 ± 2.54* | 15.28 ± 7.86* | 0.001 |
CD16+/CD56+/CD3- | 44.75 ± 23.01* | 29.19 ± 15.41* | 0.017 |
CD14 | 77.88 ± 11.65 | 84.15 ± 9.987 | 0.078 |
*t test
3) Cytokine production
The levels of IFNγ, TNFα, IL-10 in the Down syndrome group (DS) were higher than in the intellectual Disabilities (ID) group (p < 0.05). The median value of IFNγ was 389.2 pg/ml in the Down syndrome group (DS) and 43.55 pg/ml in the Intellectual disabilities group (ID) with p = 0.011. The TNFα had medians (DS and ID) of 131.2 pg/ml and 37.38 pg/ml, respectively, with p = 0.0071 and IL-2 had medians of 68.40 pg/ml in DS and 23.55 pg/ml in ID, with p = ns (Figure 1). The median value of spontaneous IL-10 production was significantly higher in the DS group (41.00 pg/ml) when compared to the median value (11.10 pg/ml) in ID group with p = 0.006; (Figure 2). Most samples from both groups (DS and ID) had spontaneous production of IL-4 and IL-5 with values below level of detection (< 20 pg/mL).
4) Relative Quantification of RCAN1 in PBMC
We studied the expression of RCAN1 in PBMC. The data demonstrate neither negative regulation nor positive regulation of the gene RCAN1; with the medians of (DS and ID) 1.05 and 1.08, respectively with p = ns; (Figure 3).
Discussion
In this study the humoral and cellular aspects of immune response were evaluated, as well as the quantitative expression of the RCAN1 gene in a sample population of adults with DS and in an ID group without Down syndrome with a similar environmental condition. We sought to minimize the external and environmental factors influences.
The results show the humoral and cellular immune response aspects in adults with DS and with ID who were followed at APAE-SP. Since all individuals in this study live in the same community the immunological response differences are not due to the environmental condition.
In this study, the humoral immune response of IgG, IgM, IgA immunoglobulin isotypes, complement factor, cRP, ASO, hepatitis B, cytomegalovirus, measles, rubella, toxoplasmosis, mononucleosis were similar in both groups. Some of the results are in line with the ones of other authors [26,27,17,18] and they may reflect an adaptive mechanism in adults with Down syndrome in order to sustain an efficient response
The immunophenotypic findings in the DS group show increased numbers of NK cells and CD8+ T lymphocyte subpopulation with a ratio of 1:1 CD4:CD8, and decreased numbers of the B lymphocyte (CD19) percentages suggesting a predominance of cells of the innate immune response in DS [28]. Dietary antigens may represent a continuous stimulus for the immune system in this syndrome and interfere with normal immune responses [29].
This data also suggest early immunosenescence and accelerated apoptosis, preserving some subpopulations [9]. Many of these alterations are similar to those characteristic of chromosomally normal subjects of advanced age [30].
The fetal thymic development in the trisomy 16 (Ts16) mouse was examined, which is considered to be a model for human trisomy 21. The Ts16 thymus contains 10 to 20% of the number of lymphocytes found in a normal thymus at a comparable stage [31]. DS thymocytes have a markedly diminished proportion of cells expressing high levels of alpha, beta T cell receptor (alpha, beta TCR) and the associated CD3 molecule. In addition, DS subjects had a lower proportion of CD4 + CD45RA + cells representing naive T cells which have recently emigrated from the thymus [32].
Clinical relevance of this finding is not well established, considering that this immunophenotype is similar to what is found in 26 centenarians [30].
The major age-related modifications were the following: decreased absolute numbers of T lymphocytes (CD3+), involving both CD4+ and CD8+ subsets, accompanied by marked concomitant increased numbers of activated T cells (CD3+, HLA-DR+); marked decreased numbers of B lymphocytes (CD19+) with increase in some subclasses of immunoglobulin and an increase in the number of cells with markers of NK activity [9,33].
Human immunosenescence represents a complex remodeling of the immunological system and it is induced by exposure to antigen and oxidative stress. There was a deterioration of the clonotypical immunity, while ancestral, innate immunity was largely preserved. In an aging immune system, adaptive immunity deteriorates because of a progressive decline of naive T and B cells and also due to a decrease of absolute numbers of T and B lymphocytes. The innate compartment of the immune system is relatively well preserved although some age-dependent alterations can be also observed [30]. Aging is characterized by a peculiar chronic inflammatory status also called 'inflammaging', resulting in cellular and molecular activation, that allows the organism to respond to multiple stress present during the process of aging [30,34].
These data suggest that there is an early immunosenescence probably due to accelerated apoptosis, preserving some subpopulations [9,34,35].
Studies of the T-cell phenotype and function have frequently resulted in conflicting outcomes, the overall evidence strongly pointed to a primary and profound impairment of T-cell mediated immunity [36].
Moreover, the relative and the absolute size of apoptotic CD3+ T lymphocytes, and the relative size of apoptotic CD19+ B lymphocytes were significantly higher in DS children than in controls [9,36].
Several lines of evidence suggest that telomere shortening plays a causal role in cellular aging. If this were true and if telomere shortening plays a role in cellular aging, then one might predict critically shortened telomeres in the lymphocytes of these individuals. It was found that, in DS, the rate of telomere loss in peripheral blood lymphocytes was three times higher than that in age-matched normal donors [37].
In this study the normal immunoglobulin level outcomes, in spite of decreased CD19, indicate an adaptative mechanism.
There are a very few studies about cytokines in DS. Studies in children give evidence that the DS thymus has lower number of phenotypically mature thymocytes, which express high levels of the T cell receptor and associated CD3-molecule [38].
Furthermore, there were high levels of tumor necrosis factor (TNFα) and interferon (IFNγ) cytokines that suggest a deregulation in cytokine production in DS and it may also provide an explanation for the abnormal thymic anatomy and the thymocyte maturation [32]. In adults, high percentages of IFNγ (Th1) were found, and the Th1/Th2 ratio was higher in DS patients than in controls [39]. The elevated production of IFNγ, TNFα and IL-10 was not followed by IL-2 production that has Th1 profile [40]. These cytokines' production can be likely due to the macrophage and to the NK cells and are not produced by T cells.
The plasmatic high levels of pro-inflamatory cytokines in DS patients are due to endothelial activation without the activation of the immune responses [41,42]
There are a very few studies focused in cytokines production in these populations, and none of them link the production of cytokines to RCAN1's overexpression in peripheral blood mononuclear cells.
The overexpression of the RCAN1 gene has already been observed in several tissues, particularly in the human brain, the spinal cord, the kidney, the liver, the mammary glands, the placenta, the skeletal muscles and the heart. In adults, RCAN1 isoform 1 is most highly expressed in the heart, the brain, the muscles and the pancreas, while isoform 4 is most highly expressed in the heart, the liver, the muscles, the placenta, the pancreas and the kidney. The expression of isoform 2 was detected in fetuses [22,43,44]. The RCAN1 is involved in the regulation of various cellular functions [23]. It is overexpressed in the brains of DS fetuses and in post-mortem brain samples of AD patients [20,44]. RCAN1 has also been implicated in cardiac valve formation and in inhibition of cardiac hypertrophy [25]. RCAN1, induced by VEGF, TNF-α, and calcium ionophore, participates in the endothelial cell migration and in the angiogenesis, showing the existence of several regulatory mechanisms [45,46,28].
In this study we used a fragment that includes exon 5 to exon 7 which are present in all isoforms. There are two hypotheses to relate phenotype to gene expression in chromosome 21. Theoretically, the supernumerary copy of human chromosome 21 (HSA21) is expected to result in an increase in the level of transcripts of all genes mapping to HSA21. However, it has been recently observed that there is not always a direct correlation between genomic imbalance (deletion or duplication) and transcript level of genes within the aneuploid segment, suggesting that complex molecular mechanisms regulate RNA transcript levels [47,48]. Due to this reason, many studies have been trying to clear the mechanism that leads to the expression of these genes [49]. A study established that genes in chromosome 21, expressed 1.5 times, would be superexpressed. In respect to gene RCAN1, this finding concludes that an expression under 1.5 indicates that the gene has compensatory mechanisms; in other words, it is influenced by or interacts with other genes [50]. The findings in this study, show that the RCAN1's relative expression is about 1, suggesting that the gene does not interfere in the DS phenotype, which was studied in peripheral blood mononuclear cells. Relative expression of RCAN1 showed neither positive nor negative regulation on the calcineurin pathway and on the production of cytokines.
Maybe other ethics models of study would be necessary with specific stimulus or which would be synergic with other genes to demonstrate the overexpression of RCAN1 in vivo.
Conclusion
These data suggest a similar humoral response in both groups. In adults with Down's syndrome, the immunophenotypic alterations could be attributed the signals of precocious immunosenescence in the immune system. There is predominance of the Th1 profile in cytokines' production without any apparent relation with the RCAN1's expression in the PBMC. The overexpression of RCAN1 in PBMC was not observed. This study stimulates the evaluation of new ways of studying these genes according to the types of specific stimuli as well as new ways of assessing the influence or interaction with other genes.
Materials and methods
Population
The studied population included adults with Down syndrome (DS) or with intellectual disability but without Down syndrome (ID), who were being followed at the same Institution (Associação de Pais e Amigos dos Excepcionais - APAE-SP), and who were living in a similar environmental condition. The blood samples were obtained from 24 patients (DS) with karyotype free of trisomy and 21 patients (ID) without Down syndrome confirmed by karyotype. Mean ages were 38 ± 8,7 years for DS and 43 ± 8,3 years for ID. The collection procedures were approved by the Heart Institute Ethics Committee (Heart Institute, Clinical Hospital, University of São Paulo (HC-FMUSP). The selected patients and/or those responsible for them were informed, in a clear and detailed way, about the objectives of the research and the procedures to be carried out, as well as about the risks, discomforts and benefits, and they signed the Terms of a free, prior and informed Consent.
Serology
The antibodies to hepatitis B (by MEIA), cytomegalovirus, infectious mononucleosis, toxoplasmosis, rubella (by ELISA), measles (by IFI), and anti-streptolysin O (ASO) were all investigated. the C-reactive protein (cRP), the Complement factors C3, C4, (by nephelometry) and immunoglobulin isotypes IgG, IgM, IgA (by immunoturbidimetric assay) present in the serum from the individuals of the study were also investigated. All serology was performed by the Central Laboratory of Heart Institute, Clinical Hospital, University of São Paulo.
Cellular Separation and Cell freezing
The venous blood was collected into heparinized tubes (20 mL) and the separation of the peripheral blood mononuclear cells (PBMC) was obtained with Ficoll-Hypaque gradient [51]. A total of 4-5 × 106cells/ml were frozen in appropriate volume of freezing media (10% dimethyl sulphoxide - DMSO, and 90% fetal calf serum, FCS) for posterior flow cytometry analysis.
Cellular Culture
Peripheral blood mononuclear cells (5 × 106 cells) were cultured in DMEM (Sigma) containing 20% of fetal calf serum (FCS). After 48 hours the culture supernatants were collected to measure the cytokine production: IL-2, IL-4, IL-5, IL-10, TNFα and IFNγ.
Cytokine production
Cytokines in culture supernatants were quantified by immunofluorescent flow cytometry (FASCalibur flow cytometer, Becton Dickinson, California, USA) using Human Chemokine and Th1/Th2 Cytokine Cytometric Bead Array (CBA) reagent kits (BD Biosciences Pharmingen, California, USA) according to the manufacturer's instructions. The production of IL-2, IL-4, IL-5, IL-10, TNFα and IFNγ cytokines was quantified. The results were based on a standard concentration curve established between 5000 and 20 pg/ml.
Flow cytometry analysis
The PBMC cells were thawed and washed for posterior Flow cytometry analysis. The purified PBMC (4-6 × 106cells) were incubated with a panel of fluorochrome-conjugated mAbs. Cells were analyzed using anti-CD8 and andi-CD16-fluorescein isothiocyanate (FITC) (BD Biosciences Pharmingen) anti-CD4, anti-CD19, anti-CD14 and anti-CD56-phycoerythrin (PE) (BD Pharmingen), anti-CD3-indotricarbocyanine coupled with phycoerythrin (PE-Cy5) (BD Pharmingen) monoclonal antibodies. Events (10 × 103) gated were analyzed using a FACScalibur flow cytometer and CellQuest software (Becton-Dickinson, Mountain View, CA). The population region (lymphocyte and monocyte gate) was set manually, based on the forward-scatter and side-scatter characteristics. The relative count of each subpopulation was expressed as a percentage within the total population.
Quantitative Real-Time PCR (QT-PCR) for RCAN1 gene expression
Total RNA from PBMC was extracted using the Trizol® method (Life Technologies Inc., Grand Island, NY). RNA quantities were determined by A260 measurement and the integrity of the RNA was confirmed by gel electrophoresis. One microgram of total RNA was used for the cDNA synthesis. Briefly, 1 μg of total RNA total, 1 μl oligodT (500 μg/ml), 1 μl dNTP (10 mM of dATP, dCTP, dGTP and dTTP), DEPC water q.s.p. 12 μl, the reaction was conducted for 5 min at 40°C. After this 4 μl Transcription Buffer 5x was added (Tris-HCl 250 mM pH 8,3, KCl 375 mM, MgCl2 15 mM), 2 μl DTT 0,1 M, 1 μl inhibitor RNase (40 U/μl) (RNAse OUT™, Invitrogen, Carlsbad, CA, EUA) and 1 μl Super-script II™ Reverse Transcriptase (200 U/μL) (Invitrogen, Carlsbad, CA, EUA), the reaction was heated for 50 min at 42°C and 15 min at 70°C.
The sequences of primers for QT-PCR were designed using Primer Express (PE Applied Biosystems, Foster City, CA, USA). The following primer sequences were used: RCAN1 (Acc. no. NM_203417) sense 5'-CAGTTTCTGATCTCCCCTCC-3', anti-sense 5'-TCATACTTTTCCCCTGGCCC-3' and Glyceraldehyde-3-phosphate dehidrogenase (GAPDH; Acc. no. M33197) sense 5'-TGGTCTCCTCTGACTTCAACA-3', anti-sense 5'-AGCCAAATTCGTTGTCATACC-3'. The primer sequence design for the RCAN1 gene was performed covering exons 5, 6 and 7 which are constant in all the isoforms of the gene. Real-time PCR reactions were carried out in an ABI Prism 7500 Sequence Detection system (PE Applied Biosystems, Foster City, CA, USA). QT-PCR was performed using the SYBR Green PCR Master Mix (PE Applied Biosystems), according to the manufacturer's instructions. Quantities of specific mRNA in the sample were measured according to the corresponding gene-specific standard curve. All the samples were tested in triplicate with the reference gene GAPDH, a housekeeping gene for normalization of data. For all genes we constructed standard curves and determined the slope to calculate the PCR efficiency according to Pfaffl; (data not show) [52,53]. Normalization and fold change were calculated with the ΔΔCt method with GAPDH as the reference mRNA [54].
Statistical Analysis
Statistical analysis was performed by AlphPrism 3.0 and SPSS 16 software. For continuous data with normal distribution, the impaired T test was used. For data which do not include normal distribution, the Mann Whitney test was used. For categorical data, the Fisher test or Chi-square test were used. Statistical significance was given for p < 0.05.
List of abbreviations
AD: Alzheimer disease; DS: Down syndrome; IgG: ImmunoglobulinG; IgA: Immunoglobulin A; IgM: Immunoglobulin M; ID: Intellectual Disabilities; NK: Natural Killer; PBMC: Peripheral blood mononuclear cells; HSA21: Trisomy of chromosome 21; RCAN1: The regulator of calcineurin 1 gene; NFATs: The nuclear factors of activated T cells; ASO: Streptolysin A; IFNγ: IFNgamma: γ Interferon; TNFα: Tumor necrosis factor α: TNFalpha
Competing interests
The authors declare that they have no competing interests.
Authors' contributions
MBFT; ACG: carried out the molecular genetic studies, participated in the sequence alignment and drafted the manuscript.
MBFT; SGF: carried out the immunoassays.
MBFT; ACG: participated in the sequence alignment.
MBFT; JBS: participated in the design of the study and performed the statistical analysis.
JEK; JBSA; MW; ACG conceived of the study, and participated in its design and coordination.
All authors read and approved the final manuscript.
Contributor Information
Maria BF Trotta, Email: mbfortunato1@hotmail.com.
João B Serro Azul, Email: serro@uol.com.br.
Mauricio Wajngarten, Email: mauriciowa@uol.com.br.
Simone G Fonseca, Email: fonseca.simone@gmail.com.
Anna C Goldberg, Email: goldberg@usp.br.
Jorge E Kalil, Email: jkalil@usp.br.
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