Decreased Helios Expression in Regulatory T Cells in Acute Coronary Syndrome

Jiang, Lili; Chen, Feng; Hu, Xiaofan; Hu, Yingying; Wang, Yange; Zhang, Wenyong; Peng, Yudong; Cheng, Longxian

doi:https://doi.org/10.1155/2017/7909407

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Abstract Introduction Materials and Methods Results Discussion Conclusions Conflicts of Interest Authors’ Contributions Acknowledgments References Copyright Related Articles

Research Article | Open Access

Volume 2017 | Article ID 7909407 | https://doi.org/10.1155/2017/7909407

Decreased Helios Expression in Regulatory T Cells in Acute Coronary Syndrome

Lili Jiang,¹Feng Chen,²Xiaofan Hu,¹Yingying Hu,¹Yange Wang,¹Wenyong Zhang,²Yudong Peng,¹and Longxian Cheng¹

Academic Editor: Dennis W. T. Nilsen

Received09 Jun 2017

Revised29 Jul 2017

Accepted07 Sept 2017

Published12 Nov 2017

Abstract

Regulatory T cells (Tregs) play an essential role in acute coronary syndrome (ACS). However, there is debate about which Treg subsets are truly critical to ACS. Helios, a transcription factor, was recently reported to be a bona fide marker for natural Tregs or activated Tregs with a suppression function, but little is known about its role in ACS. We therefore examined Helios+ Tregs in patients with ACS, patients with stable angina, and control subjects. 73 patients with ACS, 30 patients with stable angina, and 48 control subjects were enrolled. The frequencies and estimated absolute numbers of different Treg subsets in peripheral blood were measured by flow cytometry. Plasma cytokine level was measured by ELISA. The mRNA expression of Foxp3 and Helios in purified CD4+ T cells was determined by RT-PCR. Helios+ Tregs was decreased significantly in patients with ACS. The frequency and estimated absolute numbers of CD4+Foxp3+Helios+ Tregs were negatively correlated with IL-6 and positively correlated with circulating level of TGF-beta1 and HDL-C. The mRNA expression of Foxp3 and Helios was decreased in CD4+ T cells from patients with ACS. In summary, Helios+ Tregs was downregulated in patients with ACS and may play a role in ACS.

1. Introduction

Coronary artery disease (CAD) is a leading cause of death worldwide [1]. Immunological inflammatory responses play a pivotal role in its progression. A series of immune cells such as macrophages and monocytes and different subsets of lymphocytes participate in the chronic inflammatory response and eventually initiate the progression to acute coronary syndrome [2–4].

Regulatory T cells (Tregs)—an important subset of the lymphocyte population—are capable of suppressing pathogenic T cells and inflammatory responses [5], to maintain immune system homeostasis. It has been revealed that an abnormal quantity or dysfunction of Tregs might be associated with many different conditions, including carcinoma [6], diabetes [7], organ transplant reactions [8], systemic autoimmune disorders [9], and CAD [10–12]. A few studies have shown that a downregulation in Tregs might contribute to the development of ACS [11, 12], although others have reported conflicting results, some describing an upregulation of Tregs in patients with ACS [13–15], and others suggesting no significant finding in patients with ACS [16, 17]. Meanwhile, the definition of Treg marker patterns has long been controversial. It has been regarded as the traditional CD4+CD25+ T cell pattern discovered 30 years ago [18] or the CD4+CD25+Foxp3+ T cell pattern found later [19]. The nuclear transcriptional factor Foxp3 was once considered a canonical marker for Tregs. However, researchers have found that Foxp3 expression may occur in Tregs with a suppressive function, as well as cytokine-producing effector T cells without a suppressive function [20–22]. Similarly, CD25 may be transiently upregulated in newly activated conventional CD4+ T cells [23, 24]. In view of the variable expression patterns and the instability of these markers, it is difficult to determine which markers are reliable.

Given the conflicting opinions on Tregs in ACS and the variable and unstable markers mentioned above, more stable and reliable markers are still required to better distinguish patients with ACS from others and to identify regulatory cells. The zinc finger transcription factor Helios, a member of the Ikaros family, was thought to be specifically expressed in thymus-derived CD4+Foxp3+ nTregs in both mice and humans [25, 26]. In addition, Helios has been acknowledged to be a mediator in T lymphocyte immune homeostasis [27] and a marker linked to T cell immune tolerance [28, 29]. Animal studies have shown that Helios is required for stable inhibitory activity of CD4+Foxp3+ Tregs [30], whereas some other reports suggest that, rather than being a marker of nTregs, Helios could be a good marker for activated Tregs with a suppressive function [28, 31]. Foxp3+Helios+ T cells have been reported to play a vital regulatory role in immunological balance [32, 33]. It has been discovered that the coexpression of Foxp3 and Helios represents an important functional state of Tregs [34]. To the best of our knowledge, no research on Helios+ Tregs in CAD has been reported.

Cytokines play a critical role in immunological regulation. Transforming growth factor beta1 (TGF-beta1) was reported to be a key cytokine for the peripheral induction of regulatory T cells [35]. IL-6 was demonstrated to attenuate the development of Helios+ Tregs induced by TGF-beta [36]. Both of these cytokines play essential roles in ACS. The alteration of such cytokines and their relationship with Helios+ Tregs in ACS are in need of further clarification.

In this study, we measured the expression levels of CD25, Foxp3, and Helios in the peripheral blood of patients with ACS and explored their possible significance in CAD. The levels of Treg-associated cytokines were detected to investigate their potential relation with Tregs in ACS.

2. Materials and Methods

2.1. Ethics

The investigation strictly conformed to the principles in the Declaration of Helsinki. Our research was approved by the ethics committee of Tongji Medical College, Huazhong University of Science and Technology. All volunteers gave informed consent.

2.2. Subjects

This trial followed a cohort of 151 subjects recruited from the Union Hospital, Tongji Medical College, Huazhong University of Science and Technology (Wuhan, China). The patients were divided into three groups: (1) a control group (, 27 men and 21 women, 54.73 ± 1.5 years of age) consisting of patients without coronary heart disease history or abnormal coronary arteries on angiography; (2) a stable angina (SA) group (, 18 men and 12 women, 57.50 ± 1.5 years of age) with patients who showed typical exertional chest discomfort accompanied by down-sloping or horizontal ST segment depression N1 mm in an exercise test; and (3) an ACS group (, 55 men and 18 women, 58.32 ± 1.0 years of age), which included patients who presented with chest pain at rest with ischemic electrocardiographic alterations, including ST segment alterations and T-wave inversions, or a remarkable increase in serum levels of creatine kinase MB (≥6.6 ng/ml) and troponin I (≥262 pg/ml). The baseline characteristics of the subjects in all three groups are presented in Table 1. Subjects were excluded if they had been treated with anti-inflammatory medication or had a history of renal deficiency, advanced liver disease, malignant conditions, thromboembolism, collagen disease, or other inflammatory diseases.

2.3. Preparation of Blood Samples and Isolation of Peripheral Blood Mononuclear Cells

After an 8-hour fast, on the morning of the admission day, blood samples were drawn with a 21-gauge needle for spotless antecubital venipuncture and collected into sodium heparin-coated tubes. The blood samples were centrifuged at 300 for 7 min, and the plasma was aliquoted and then stored at −80°C for further use. Peripheral blood mononuclear cells in the blood were isolated with Ficoll-Hypaque (Sigma, USA) by density gradient centrifugation and then washed twice before flow cytometry.

2.4. Isolation of CD4+ T Cells

CD4+ T cells were isolated using CD4 microbeads (Miltenyi Biotec, Germany) according to the manufacturer’s instructions. The purity of CD4+ T cells was >90% as assessed by fluorescence-activated cell sorting. These CD4+ T cells were then used for real-time polymerase chain reaction (RT-PCR).

2.5. Flow Cytometric Analysis

Peripheral blood mononuclear cells were harvested and stained with the following antibodies according to the manufacturer’s protocols: PerCP-conjugated anti-human CD4 (clone: 61D3, BioLegend), PE-CY7-conjugated anti-human CD25 (clone: M-A251, Biosciences, USA), APC-conjugated anti-human Foxp3 (clone: PCH101, eBioscience), and PE-conjugated anti-Helios (clone: 22F6, eBioscience). Corresponding isotype antibodies were used. According to the manufacturer’s instructions, fixation and permeabilization were carried out after the staining of cell surface antigens CD4 and CD25, for the subsequent intracellular staining of FOXP3 and Helios. The cells were tested by flow cytometry with a fluorescence-activated cell sorter (BD Biosciences, USA). The results were analyzed with FlowJo v.X.0.7 (Treestar Inc., USA). The calculation formula [37] for the estimated absolute numbers of different cell subsets was listed in Table 1.

2.6. RT-PCR

Total RNA of the CD4+ T cells was extracted using Trizol reagent (Takara, Japan) according to the manufacturer’s instructions. cDNA was obtained with a reverse transcriptase kit (Takara, Japan). The expression levels of genes were detected by SYBR Green nucleic acid gel stains (Takara, Japan) with the −2^ΔΔCT method; finally, all samples were analyzed with an ABI Prism 7900 Sequence Detection System (Applied Biosystems, USA). Primer sequences used were as follows: human GAPDH (F: 5′-CCACATCGCTCAGACACCAT-3′, R 5′-GGCAACAATATCCACTTTACCAGAGT-3′), human Foxp3 (F: 5′-GGCTGGTCTGCTTGAGAAAC-3′, R: 5′-ATTGCCAAACTGTGGTC TCC-3′), and human Helios (F: 5′-CTTTCCAAGACACACTTCACCA-3′, R: 5′-TA TCTCCTTTGTTACCGCTTCC-3′). All samples were amplified for 40 cycles in duplicate, and the expression levels of these genes were normalized to the levels of GAPDH. A sample from a healthy volunteer was used as the control sample against which all measures were compared [12, 37].

2.7. Enzyme-Linked Immunosorbent Assay for the Detection of Patients’ IL-6 and TGF-Beta1

Plasma samples from the subjects were collected and stored at −80°C until the cytokine levels were tested with specific enzyme-linked immunosorbent assay kits (Neobioscience, China) according to the manufacturer’s instructions. Each assay was carried out in triplicate.

2.8. Statistical Analysis

The data are shown as the mean ± SEM or as a percentage. Significant differences among the three groups of patients were tested by one-way analysis of variance and Pearson chi-square tests. Significant differences between two groups were examined by independent-samples t-tests. Spearman’s correlation analysis was used to determine the correlation between the variables. A value of less than 0.05 was considered to indicate statistical significance. SPSS 20.0.0 was used for the statistical analyses.

3. Results

3.1. Baseline Characteristics of the Subjects

The clinical data of all enrolled subjects are listed in Table 2. There were no remarkable differences between the groups with respect to gender, age, smoking, diabetes mellitus, hypertension, or hyperlipidemia (). No significant difference was found in systolic or diastolic blood pressure or in serum levels of total cholesterol, low-density lipoprotein cholesterol, or triglycerides (). The serum level of high-density lipoprotein cholesterol (HDL-C) was significantly decreased in the ACS group compared with the SA and control groups (). There was a significant difference in statin use among the three groups and we compared the CD4+Fxop3+Helios+ levels between subjects with and without statin use, and no significant difference was found. The serum levels of creatinine kinase MB and troponin I were remarkably increased in the ACS group compared with the SA and control groups ().

3.2. CD4+Foxp3+Helios+ T Cells in ACS Patients Was Significantly Decreased

The proportion of Helios+ cells in CD4+Foxp3+ T cells was significantly lower in patients with ACS (52.26% ± 1.54%, ) than in patients in the SA group (67.36% ± 1.38%) and the control group (69.75% ± 1.51%) (Figures 1(b) and 1(d)). However, the percentage of CD4+Foxp3+ T cells (Figures 1(a) and 1(c)) showed no significant difference among the three groups. The estimate absolute numbers of CD4+Foxp3+Helios+ T cells were significantly lower in patients with ACS (59.0% ± 1.6%, ) than in patients in the SA group (79.3% ± 1.2%) and the control group (80.2% ± 1.4%) (Figure 1(f)). The estimate absolute numbers of CD4+Foxp3+ T cells showed no significant difference among the three groups (Figure 1(e)).

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Figure 1

The Helios+ Tregs is significantly decreased in patients with ACS. (a) Representative images of the frequency of CD4+Foxp3+ T cells from a single patient in each group. (b) Representative images of the proportion of Helios+ cells in CD4+Foxp3+ T cells from a single patient in each group. (c) The percentage of CD4+Foxp3+ T cells among lymphocytes for each group. (d) The percentage of CD4+Foxp3+Helios+ T cells among CD4+Foxp3+ T cells for each group. (e) The estimated absolute number of CD4+Foxp3+ T cells for each group. (f) The estimated absolute number of CD4+Foxp3+Helios+ T cells for each group.

3.3. CD4+CD25+, CD4+CD25+Foxp3+, and CD4+CD25+Foxp3+Helios+ T Cells in the Peripheral Blood of ACS Patients

No significant difference was found in the frequencies of CD4+CD25+ T cells (Figure 2(c)) or CD4+CD25+Foxp3+ T cells (Figure 2(d)) among the three groups. Only one significant difference was found in the expression of Helios in CD4+CD25+Foxp3+ T cells, which was lower in patients with ACS (67.10% ± 1.55%, ) than in the SA group (72.07% ± 1.74%) and the control group (75.66% ± 1.41%) (Figures 2(b) and 2(e)). The estimated absolute numbers of CD4+CD25+ T cells, CD4+CD25+Foxp3+ T cells, and CD4+CD25+Foxp3+Helios+ T cells showed no significant difference among the three groups (Figures 2(f), 2(g), and 2(h)).

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Figure 2

CD25 does not contribute to better distinguishing ACS patients from others. (a) CD4+CD25+ and CD4+CD25+Foxp3+ T cells were gated by flow cytometry. (b) Representative images of the proportion of Helios+ cells in CD4+CD25+Foxp3+T cells from a single patient in each group. (c) The percentage of CD4+CD25+ T cells among lymphocytes for each group. (d) The percentage of CD4+CD25+Foxp3+ T cells among CD4+CD25+ T cells for each group. (e) The percentage of CD4+CD25+Foxp3+Helios+ T cells among CD4+CD25+Foxp3+ T cells for each group. (f) The estimated absolute number of CD4+CD25+ T cells for each group. (g) The estimated absolute number of CD4+CD25+Foxp3+ T cells for each group. (h) The estimated absolute number of CD4+CD25+Foxp3+Helios+ T cells for each group.

3.4. The mRNA Expression of Both Foxp3 and Helios Decreased in the CD4+ T Cells of Patients with ACS

The mRNA expression of Foxp3 and Helios in CD4+ T cells (Figure 3) was quantified by RT-PCR. The ACS patients were characterized by significantly lower mRNA expression of both Foxp3 and Helios (Figure 4). Although flow cytometry detected no significant differences in the expression of Foxp3+ Tregs among the three groups, a significant decrease in its mRNA expression did exist. In contrast, the expressions of Helios in both testing methods were comparable. Helios exhibited better consistency in mRNA and protein level than Foxp3 did.

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3.5. The Correlation of Circulating Cytokines and HDL-C with Helios+ Tregs

Cytokines are pivotal players in immune responses during atherosclerosis progression. To determine the relationship between cytokines and Helios+ Tregs, the plasma levels of IL-6 and TGF-beta1 were examined. The concentration of IL-6 was significantly higher in the ACS group (26.75 ± 0.52 pg/ml) than in the SA group (15.28 ± 0.55 pg/ml) and the control group (13.53 ± 0.53 pg/ml) () (Figure 5(a)). The concentration of TGF-beta1 was significantly lower in the ACS group (25.69 ± 0.56 pg/ml) than in the SA group (33.90 ± 0.97 pg/ml) and the control group (35.40 ± 0.82 pg/ml) () (Figure 5(b)). Next, we performed a correlation analysis of Helios+ Tregs with the circulating cytokines and HDL-C in all three groups. The plasma level of IL-6 was negatively correlated with the proportion of Helios+ cells in CD4+Foxp3+ T cell (, ) (Figure 6(a)). The plasma level of TGF-beta1 was positively correlated with the proportion of Helios+ cells in CD4+Foxp3+ T cells (, ) (Figure 6(b)). The correlations between the proportion of Helios+ cells in CD4+Foxp3+ T cell and IL-6 or TGF-beta1 seemed to be partly driven by the difference between the groups (Table 3). Such a situation may be partly due to the limited sample size in each group. The serum level of HDL-C was positively correlated with the proportion of Helios+ cells in CD4+Foxp3+ T cells (, ) (Figure 6(c)). The plasma level of IL-6 was negatively correlated with the CD4+Foxp3+Helios+ cell counts (, ) (Figure 6(d)). The plasma level of TGF-beta1 was positively correlated with the CD4+Foxp3+Helios+ cell counts (, ) (Figure 6(e)). The plasma level of HDL-C was positively correlated with the CD4+Foxp3+Helios+ cell counts (, ) (Figure 6(f)).

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Figure 6

Spearman correlation analysis of the frequency of Helios+ Tregs with circulating cytokines and HDL-C in patients in the control, SA, and ACS groups. (a) The plasma level of IL-6 was negatively correlated with the proportion of Helios+ cells in CD4+Foxp3+ T cells (, ). (b) The plasma level of TGF-beta1 was positively correlated with the proportion of Helios+ cells in CD4+Foxp3+ T cells (, ). (c) The serum level of HDL-C was positively correlated with the proportion of Helios+ cells in CD4+Foxp3+ T cells (, ). (d) The plasma level of IL-6 was negatively correlated with the CD4+Foxp3+Helios+ cell counts (, ). (e) The plasma level of TGF-beta1 was positively correlated with the CD4+Foxp3+Helios+ cell counts (, ). (f) The plasma level of HDL-C was positively correlated with the CD4+Foxp3+Helios+ cell counts (, ).

4. Discussion

Here, we show for the first time that Helios+ Tregs are significantly decreased in ACS. Furthermore, the expression level of Helios is negatively correlated with circulating IL-6 but positively correlated with TGF-beta1 and HDL-C.

Tregs are an important type of T cell that can suppress inflammatory responses and reduce plaque formation and have a potential role in the attenuation of atherosclerosis initiation and evolution. Although several studies have investigated the role of Tregs in ACS, the changes in Treg levels and the expression patterns of Tregs in ACS patients remain controversial. Some studies have reported that Tregs are downregulated in patients with ACS [11, 12], whereas others reported different results [13–15]. Furthermore, some authors have reported that the suppression function of CD4+CD25hi Tregs was not altered in patients [32], whereas others claim that Foxp3+ Tregs are not able to suppress the inflammatory cytokines [21, 22]. Whether CD25 and Foxp3, the once canonical typical markers of Tregs, truly are real specific markers for Tregs with a suppression function is now questioned. Given the controversy on the expression patterns and alteration trends of Tregs in ACS patients, as well as the significance of Tregs to ACS, we reanalyzed the expression of these markers. In line with some previous research [16, 17], no significant differences were found in CD4+CD25+ or CD4+CD25+Foxp3+ Tregs frequency among the three groups. However, the expression of Helios was remarkably decreased in both CD4+Foxp3+ and CD4+CD25+Foxp3+ T cells, and the estimated absolute number of CD4+Foxp3+Helios+ T cells was significantly decreased in ACS, too. Thus, it might be suggested that CD25 does not contribute to better distinguishing patients with ACS from others; examining Foxp3 coexpression with Helios rather than CD25 might be a better way to distinguish patients with ACS. Furthermore, our results show that better consistency in both protein level and mRNA level was found in Helios than in Foxp3, suggesting that Helios might be a more stable and reliable molecule for our research.

Helios was first suggested as a marker of nTregs by Sugimoto et al. in 2006 [38]. At that time, Helios was considered to be expressed exclusively on Foxp3+ Tregs. However, a few years later, it was shown that both Helios+ and Helios− cells exist in nTregs compartments [39, 40]. Helios was identified as a novel marker of activated nTregs with an important suppression function [36]. The role of Helios in CAD has not been explored yet, but given the immunosuppression defect characteristic of CAD and the immunosuppressive role of Helios, this molecule might contribute to the disease. Therefore, we conducted the current study to examine the expression of Helios in Tregs in patients with ACS. The decrease of Helios+ Tregs suggests that Helios might play a role in CAD. Moreover, the reduced TGF-beta1 level and the increased IL-6 level in plasma of patients with ACS are in line with previous studies [11, 12, 41], and their correlations with Helios+ Tregs were revealed in this study. Adding to the facts that the immunological suppression capacity of Tregs is partly dependent on TGF-beta1 [23] and that the proinflammatory cytokine IL-6 is a powerful independent risk factor for the development of CAD and ACS [42–44], it might be suggested that the reduction of Helios+ Tregs is associated with immunosuppressive deficiency in ACS, and Helios+ Tregs might play a role in CAD. A recent study also reported that IL-6 inhibited the TGF-beta–induced development of Helios+ Tregs [36]. With the low TGF-beta1 and Helios+ Tregs frequency and high IL-6 in our patients with ACS, it might be speculated that such a mechanism may participate in CAD progression. However, the truth is yet to be uncovered. Moreover, circulating HDL-C level positively correlated with Helios+ Treg. Given the anti-inflammatory and immunomodulatory properties of HDL-C [45] and its negative correlation with the frequency of proinflammatory T cell subsets [46], the correlation of Helios+ Tregs and HDL-C in our study suggests that Helios+ Tregs might play a role in immune modulation.

Further studies are still needed to define in detail the functional and biological importance of Helios+ T cells in patients with CAD and the potential use of the marker as a therapeutic target. However, because Foxp3 and Helios are intracellular proteins, it is impossible to sort living functional CD4+Foxp3+Helios+ cells in humans and conduct a suppression function assay to achieve further mechanism analysis.

5. Conclusions

Circulating Helios+ Tregs are significantly decreased in ACS, accompanied by increased IL-6 and decreased TGF-beta1 and HDL-C, which indicates that Helios+ Tregs may play a role in ACS. Examining Foxp3 coexpression with Helios rather than CD25 may be a better way to distinguish patients with ACS. Our results provide a new insight for Treg studies in ACS. Although this single study is not sufficient to prove that Helios+ Tregs play a protective role in ACS progression because we are not able to isolate Helios+ cells from patients due to the intracellular nature of Helios, we can nevertheless obtain evidence from in vitro research and animal experiments in subsequent work.

Conflicts of Interest

The authors declare that they have no conflicts of interest regarding the publication of this article.

Authors’ Contributions

Lili Jiang and Feng Chen contributed equally to this work.

Acknowledgments

This work was supported by grants from the National Natural Science Foundation of China (no. 81370324).

References

D. Mozaffarian, E. J. Benjamin, A. S. Go et al., “Heart disease and stroke statistics—2015 update: a report from the American Heart Association,” Circulation, vol. 131, no. 4, pp. e29–e322, 2015.
View at: Publisher Site | Google Scholar
G. K. Hansson, “Inflammation, atherosclerosis, and coronary artery disease,” The New England Journal of Medicine, vol. 352, no. 16, pp. 1685–1695, 2005.
View at: Publisher Site | Google Scholar
K. A. Campbell, M. J. Lipinski, A. C. Doran, M. D. Skaflen, V. Fuster, and C. A. McNamara, “Lymphocytes and the adventitial immune response in atherosclerosis,” Circulation Research, vol. 110, no. 6, pp. 889–900, 2012.
View at: Publisher Site | Google Scholar
M. Grandoch, K. Feldmann, J. R. Gothert et al., “Deficiency in lymphotoxin beta receptor protects from atherosclerosis in apoE-deficient mice,” Circulation Research, vol. 116, no. 8, pp. e57–e68, 2015.
View at: Publisher Site | Google Scholar
S. Sakaguchi, M. Miyara, C. M. Costantino, and D. A. Hafler, “FOXP3+ regulatory T cells in the human immune system,” Nature Reviews Immunology, vol. 10, no. 7, pp. 490–500, 2010.
View at: Publisher Site | Google Scholar
W. Jozwicki, A. A. Brozyna, J. Siekiera, and A. T. Slominski, “Frequency of CD4+CD25+Foxp3+ cells in peripheral blood in relation to urinary bladder cancer malignancy indicators before and after surgical removal,” Oncotarget, vol. 7, no. 10, pp. 11450–11462, 2016.
View at: Publisher Site | Google Scholar
G. Garg, J. R. Tyler, J. H. Yang et al., “Type 1 diabetes-associated IL2RA variation lowers IL-2 signaling and contributes to diminished CD4+CD25+ regulatory T cell function,” Journal of Immunology, vol. 188, no. 9, pp. 4644–4653, 2012.
View at: Publisher Site | Google Scholar
K. Trojan, L. Zhu, M. Aly et al., “Association of peripheral NK cell counts with Helios⁺ IFN-γ⁻ Tregs in patients with good long-term renal allograft function,” Clinical and Experimental Immunology, vol. 188, no. 3, pp. 467–479, 2017.
View at: Publisher Site | Google Scholar
M. Miyara, G. Gorochov, M. Ehrenstein, L. Musset, S. Sakaguchi, and Z. Amoura, “Human FoxP3+ regulatory T cells in systemic autoimmune diseases,” Autoimmunity Reviews, vol. 10, no. 12, pp. 744–755, 2011.
View at: Publisher Site | Google Scholar
J. George, “Mechanisms of disease: the evolving role of regulatory T cells in atherosclerosis,” Nature Clinical Practice Cardiovascular Medicine, vol. 5, no. 9, pp. 531–540, 2008.
View at: Publisher Site | Google Scholar
L. Hasib, A. K. Lundberg, H. Zachrisson, J. Ernerudh, and L. Jonasson, “Functional and homeostatic defects of regulatory T cells in patients with coronary artery disease,” Journal of Internal Medicine, vol. 279, no. 1, pp. 63–77, 2016.
View at: Publisher Site | Google Scholar
Z. X. Wang, C. Q. Wang, X. Y. Li, Y. Ding, G. K. Feng, and X. J. Jiang, “Changes of naturally occurring CD4⁺CD25⁺ FOXP3⁺ regulatory T cells in patients with acute coronary syndrome and the beneficial effects of atorvastatin treatment,” International Heart Journal, vol. 56, no. 2, pp. 163–169, 2015.
View at: Publisher Site | Google Scholar
E. Najib, R. Puranik, J. Duflou, Q. Xia, and S. Bao, “Age related inflammatory characteristics of coronary artery disease,” International Journal of Cardiology, vol. 154, no. 1, pp. 65–70, 2012.
View at: Publisher Site | Google Scholar
S. Patel, S. H. Chung, G. White, S. Bao, and D. S. Celermajer, “The “atheroprotective” mediators apolipoprotein A-I and Foxp3 are over-abundant in unstable carotid plaques,” International Journal of Cardiology, vol. 145, no. 2, pp. 183–187, 2010.
View at: Publisher Site | Google Scholar
E. Ammirati, D. Cianflone, M. Banfi et al., “Circulating CD4+CD25hiCD127lo regulatory T-cell levels do not reflect the extent or severity of carotid and coronary atherosclerosis,” Arteriosclerosis, Thrombosis, and Vascular Biology, vol. 30, no. 9, pp. 1832–1841, 2010.
View at: Publisher Site | Google Scholar
Z. Zhao, Y. Z. Qi, Z. Y. Yuan, M. L. Cheng, Y. Q. Ji, and X. B. Yang, “Changes of Foxp3(+); regulatory T cells in patients with acute coronary syndrome,” Xi Bao Yu Fen Zi Mian Yi Xue Za Zhi, vol. 27, no. 8, pp. 893–895, 2011.
View at: Google Scholar
C. X. Lu, R. D. Xu, M. Cao et al., “FOXP3 demethylation as a means of identifying quantitative defects in regulatory T cells in acute coronary syndrome,” Atherosclerosis, vol. 229, no. 1, pp. 263–270, 2013.
View at: Publisher Site | Google Scholar
S. Sakaguchi, “Regulatory T cells: key controllers of immunologic self-tolerance,” Cell, vol. 101, no. 5, pp. 455–458, 2000.
View at: Google Scholar
C. L. Bennett, J. Christie, F. Ramsdell et al., “The immune dysregulation, polyendocrinopathy, enteropathy, X-linked syndrome (IPEX) is caused by mutations of FOXP3,” Nature Genetics, vol. 27, no. 1, pp. 20-21, 2001.
View at: Publisher Site | Google Scholar
M. C. Fantini, C. Becker, G. Monteleone, F. Pallone, P. R. Galle, and M. F. Neurath, “Cutting edge: TGF-beta induces a regulatory phenotype in CD4⁺CD25⁻ T cells through Foxp3 induction and down-regulation of Smad7,” Journal of Immunology, vol. 172, no. 9, pp. 5149–5153, 2004.
View at: Publisher Site | Google Scholar
S. E. Allan, S. Q. Crome, N. K. Crellin et al., “Activation-induced FOXP3 in human T effector cells does not suppress proliferation or cytokine production,” International Immunology, vol. 19, no. 4, pp. 345–354, 2007.
View at: Publisher Site | Google Scholar
D. Q. Tran, H. Ramsey, and E. M. Shevach, “Induction of FOXP3 expression in naive human CD4⁺FOXP3⁻ T cells by T-cell receptor stimulation is transforming growth factor-beta dependent but does not confer a regulatory phenotype,” Blood, vol. 110, no. 8, pp. 2983–2990, 2007.
View at: Publisher Site | Google Scholar
D. A. Vignali, L. W. Collison, and C. J. Workman, “How regulatory T cells work,” Nature Reviews Immunology, vol. 8, no. 7, pp. 523–532, 2008.
View at: Publisher Site | Google Scholar
J. D. Fontenot, J. P. Rasmussen, L. M. Williams, J. L. Dooley, A. G. Farr, and A. Y. Rudensky, “Regulatory T cell lineage specification by the forkhead transcription factor foxp3,” Immunity, vol. 22, no. 3, pp. 329–341, 2005.
View at: Publisher Site | Google Scholar
A. M. Thornton, P. E. Korty, D. Q. Tran et al., “Expression of Helios, an Ikaros transcription factor family member, differentiates thymic-derived from peripherally induced Foxp3+ T regulatory cells,” Journal of Immunology, vol. 184, no. 7, pp. 3433–3441, 2010.
View at: Publisher Site | Google Scholar
E. M. Ross, D. Bourges, T. V. Hogan, P. A. Gleeson, and I. R. van Driel, “Helios defines T cells being driven to tolerance in the periphery and thymus,” European Journal of Immunology, vol. 44, no. 7, pp. 2048–2058, 2014.
View at: Publisher Site | Google Scholar
K. Serre, C. Benezech, G. Desanti et al., “Helios is associated with CD4 T cells differentiating to T helper 2 and follicular helper T cells in vivo independently of Foxp3 expression,” PLoS One, vol. 6, no. 6, article e20731, 2011.
View at: Publisher Site | Google Scholar
R. A. Gottschalk, E. Corse, and J. P. Allison, “Expression of Helios in peripherally induced Foxp3⁺ regulatory T cells,” Journal of Immunology, vol. 188, no. 3, pp. 976–980, 2012.
View at: Publisher Site | Google Scholar
S. R. Daley, D. Y. Hu, and C. C. Goodnow, “Helios marks strongly autoreactive CD4⁺T cells in two major waves of thymic deletion distinguished by induction of PD-1 or NF-κB,” The Journal of Experimental Medicine, vol. 210, no. 2, pp. 269–285, 2013.
View at: Publisher Site | Google Scholar
H. J. Kim, R. A. Barnitz, T. Kreslavsky et al., “Stable inhibitory activity of regulatory T cells requires the transcription factor Helios,” Science, vol. 350, no. 6258, pp. 334–339, 2015.
View at: Publisher Site | Google Scholar
T. Akimova, U. H. Beier, L. Wang, M. H. Levine, and W. W. Hancock, “Helios expression is a marker of T cell activation and proliferation,” PLoS One, vol. 6, no. 8, article e24226, 2011.
View at: Google Scholar
C. Liu, Z. Guan, L. Zhao, Y. Song, and H. Wang, “Elevated level of circulating CD4⁺Helios⁺FoxP3⁺ cells in primary Sjogren’s syndrome patients,” Modern Rheumatology, pp. 1–8, 2016.
View at: Publisher Site | Google Scholar
A. Klocperk, J. Grecova, K. Sismova, J. Kayserová, E. Froňková, and A. Šedivá, “Helios expression in T-regulatory cells in patients with di George syndrome,” Journal of Clinical Immunology, vol. 34, no. 7, pp. 864–870, 2014.
View at: Publisher Site | Google Scholar
X. Chen, M. Vander Lugt, and P. Szabolcs, “Deficiency of Foxp3/Helios co-expressing regulatory T-cells correlates with clinical acitvity in autoimmunity (HUM7P.316),” The Journal of Immunology, vol. 192, 1 Supplement, pp. 184.125–184.125, 2014.
View at: Google Scholar
D. A. Horwitz, S. G. Zheng, J. Wang, and J. D. Gray, “Critical role of IL-2 and TGF-beta in generation, function and stabilization of Foxp3⁺CD4⁺ Treg,” European Journal of Immunology, vol. 38, no. 4, pp. 912–915, 2008.
View at: Publisher Site | Google Scholar
H. Takatori, H. Kawashima, A. Matsuki et al., “Helios enhances Treg cell function in cooperation with FoxP3,” Arthritis & Rhematology, vol. 67, no. 6, pp. 1491–1502, 2015.
View at: Publisher Site | Google Scholar
Y. G. Wang, X. Xiong, Z. Y. Chen et al., “Expansion of myeloid-derived suppressor cells in patients with acute coronary syndrome,” Cellular Physiology and Biochemistry, vol. 35, no. 1, pp. 292–304, 2015.
View at: Publisher Site | Google Scholar
N. Sugimoto, T. Oida, K. Hirota et al., “Foxp3-dependent and -independent molecules specific for CD25⁺CD4⁺ natural regulatory T cells revealed by DNA microarray analysis,” International Immunology, vol. 18, no. 8, pp. 1197–1209, 2006.
View at: Publisher Site | Google Scholar
M. E. Himmel, K. G. MacDonald, R. V. Garcia, T. S. Steiner, and M. K. Levings, “Helios⁺ and Helios^- cells coexist within the natural FOXP3⁺ T regulatory cell subset in humans,” Journal of Immunology, vol. 190, no. 5, pp. 2001–2008, 2013.
View at: Publisher Site | Google Scholar
A. Khaitan, A. Kravietz, M. Mwamzuka et al., “FOXP3⁺Helios⁺ regulatory T cells, immune activation, and advancing disease in HIV-infected children,” Journal of Acquired Immune Deficiency Syndromes, vol. 72, no. 5, pp. 474–484, 2016.
View at: Publisher Site | Google Scholar
J. Yang, X. Yuan, C. Lv et al., “Methylation of the FOXP3 upstream enhancer as a clinical indicator of defective regulatory T cells in patients with acute coronary syndrome,” American Journal of Translational Research, vol. 8, no. 12, pp. 5298–5308, 2016.
View at: Google Scholar
E. N. Deliargyris, R. J. Raymond, T. C. Theoharides, W. S. Boucher, D. A. Tate, and G. J. Dehmer, “Sites of interleukin-6 release in patients with acute coronary syndromes and in patients with congestive heart failure,” The American Journal of Cardiology, vol. 86, no. 9, pp. 913–918, 2000.
View at: Google Scholar
Y. Miyao, H. Yasue, H. Ogawa et al., “Elevated plasma interleukin-6 levels in patients with acute myocardial infarction,” American Heart Journal, vol. 126, no. 6, pp. 1299–1304, 1993.
View at: Google Scholar
E. Lindmark, E. Diderholm, L. Wallentin, and A. Siegbahn, “Relationship between interleukin 6 and mortality in patients with unstable coronary artery disease: effects of an early invasive or noninvasive strategy,” JAMA, vol. 286, no. 17, pp. 2107–2113, 2001.
View at: Google Scholar
H. Kaji, “High-density lipoproteins and the immune system,” Journal of Lipids, vol. 2013, Article ID 684903, 8 pages, 2013.
View at: Publisher Site | Google Scholar
F. Mahmoud and E. Al-Ozairi, “Inflammatory cytokines and the risk of cardiovascular complications in type 2 diabetes,” Disease Markers, vol. 35, no. 4, pp. 235–241, 2013.
View at: Publisher Site | Google Scholar

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Copyright © 2017 Lili Jiang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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