Abstract
Background: Regulatory T (Treg) cells are necessary for the maintenance of allogenic pregnancy. However, the repertoire of effector Treg cells at the feto-maternal interface in human pregnancy remains unknown. Our objective was to study T cell receptor (TCR) repertoires of Treg cells during pregnancy compared to normal and complicated pregnancies.
Methods:Paired samples of peripheral blood and decidua in induced abortion and miscarriage cases were obtained from consenting patients. CD4+CD25+CD127low/−CD45RA− effector Treg cells were single-cell sorted from mononuclear cells. cDNAs of complementarity determining region 3 (CDR3) in TCRβ were amplified from the single cells by RT-PCR and the sequences were analyzed. The TCRβ repertoires were determined by amino acid and nucleotide sequences. Treg cells were classified into clonally expanded and non-expanded populations by CDR3 sequences.
Results: We enrolled nine induced abortion cases in the 1st trimester, 12 cases delivered without complications in the 3rd trimester, 11 miscarriages with abnormal chromosomal karyotyped embryo, seven miscarriages with normal chromosomal karyotyped embryo, and seven cases of preeclampsia [median gestational week (interquartile range): 7 (7–9), 39 (38–40), 9 (8–10), 8 (8–10), and 34 (32–37), respectively]. The frequency of clonally expanded populations of effector Treg cells increased in decidua of 3rd trimester cases compared to 1st trimester cases [4.5% (1.4–10.8%) vs. 20.9% (15.4–28.1%), p < 0.001]. Clonally expanded Treg cells were rarely seen in peripheral blood. The ratio of clonally expanded populations of decidual effector Treg cells in miscarriages with abnormal and normal embryos was not significantly different compared with that in 1st trimester normal pregnancy. Interestingly, clonally expanded populations of effector Treg cells decreased in preeclampsia compared with that in 3rd trimester normal pregnancy [9.3% (4.4–14.5%) vs. 20.9% (15.4–28.1%), p = 0.003]. When repertoires in previous pregnancy and subsequent pregnancy were compared, some portions of the repertoire were shared.
Conclusion: TCR repertoires of decidual effector Treg cells are skewed in the 3rd trimester of normal pregnancy. Failure of clonal expansion of populations of decidual effector Treg cells might be related to the development of preeclampsia.
Keywords: effector regulatory T cell, human pregnancy, miscarriage, preeclampsia, regulatory T cell, T cell repertoire
Introduction
Regulatory T (Treg) cells are important in maintaining feto-maternal tolerance during pregnancy in humans and mice (1–6). Previous studies demonstrated the existence of fetal antigen specific Treg cells in a murine model of pregnancy (7–9). Rowe et al. (9) demonstrated that memory type-fetal antigen specific Treg cells induced fetal antigen specific tolerance in second pregnancy in mice. These results may explain why first pregnancy is a risk factor for preeclampsia. We have reported that fetal antigen specific Treg cells are recruited to uterine draining lymph nodes just before implantation in mice (10). Tilburgs et al. (11) suggested that human decidual Treg cells recognize self-fetal antigens by mixed lymphocyte reaction against umbilical cord blood. A suppressive reaction by decidual Treg cells, but not by systemic Treg cells, has been described (11). These findings suggest that fetal antigen specific memory type Treg cells induce feto-maternal tolerance at the feto-maternal interface in both mice and humans, although fetal antigen specific Treg cells have not yet been identified as a T cell receptor (TCR) repertoire in humans.
Human CD4+FoxP3+ cells contain a CD4+CD45RA−FoxP3high effector/activated Treg cell subset, CD4+CD45RA+FoxP3low naïve/resting Treg cell subset, and CD45+CD45RA−FoxP3low effector T cell subset (12, 13). CD4+CD45RA−FoxP3high effector Treg cells have the highest suppressive capability among these subsets. During human late gestation, CD4+CD45RA−FoxP3high effector Treg cells are the dominant Treg cell subset in peripheral blood and decidua (14). We have shown that CD4+CD45RA−FoxP3high effector Treg cells are significantly decreased in decidua of cases of miscarriage with normal chromosomal karyotyped embryo (15). Thus, the effector Treg cell subset might contain fetal antigen specific populations in human.
Previous reports suggested that systemic and local maldistribution and dysfunction of Treg cells could be one of the etiologies of miscarriage and preeclampsia (16–21). T cell receptor β variable (TRBV) repertoires of total Treg cells in peripheral blood and decidua were not significantly different between preeclampsia and normal pregnancy (22). Thus, how Treg cells relate to the development of preeclampsia remains unknown.
We hypothesized that decidual effector Treg cells that recognize fetal antigens are clonally expanded at the feto-maternal interface. To study the clonality of effector Treg cells, we used a single-cell based TCR repertoire analysis method that we previously described (23, 24). We also aimed to show whether altered TCR repertoires of effector Treg cells are present in miscarriage or preeclampsia.
Materials and methods
Subjects
The enrolled cases included nine cases of artificial abortion in the 1st trimester, 11 cases of 1st trimester miscarriage with abnormal embryo karyotype, seven cases of 1st trimester miscarriage with normal embryo karyotype, 12 cases delivered without pregnancy complications in the 3rd trimester, and seven cases delivered in the 3rd trimester with preeclampsia. Written informed consent was obtained from all the patients in accordance with a protocol approved by the Ethical Review Board of University of Toyama. Fetal heartbeat was confirmed before artificial abortion (induced abortion in the 1st trimester of normal pregnancy). Miscarriage was diagnosed when the fetal heart beat was lost, or when the fetal heartbeat was not detected inside the gestational sac for more than 2 weeks. All artificial abortion and miscarriage treatments were performed by dilation and curettage. Fetal chromosomal karyotype was determined by G-band staining in miscarriage cases. Preeclampsia was diagnosed when blood pressure exceeded 140/90 mmHg and urinary protein exceeded 0.3 g per day after the 20th week of gestation (25). Ten milliliters of venous blood and decidual sample were obtained simultaneously when induced abortion was performed or when subjects delivered a baby. The patients were recruited at Toyama University Hospital, Otogi no Mori Lady's Clinic and Yoshie Ladies Clinic.
Mononuclear cell isolation
Peripheral blood mononuclear cells (PBMC) were isolated by Ficoll Hypaque (Lymphoprep™; Alere Technologies, Norway) density gradient centrifugation. First trimester decidua was isolated from uterine content that was collected by induced abortion. Third trimester decidua was dissected from maternal surface of the delivered placenta. Decidua was rinsed with phosphate buffered saline (PBS) until the blood was removed, minced with a pair of scissors to produce 1–2 mm pieces, and filtered through 32-μm nylon mesh. All samples were cryopreserved.
Single-cell sorting
To sort the effector Treg cells, the following monoclonal antibodies were used: anti-CD3 (APC; BD Bioscience, USA), anti-CD4 (PerCP cy5.5; BD Bioscience), anti-CD45RA (APC cy7; BioLegend, USA), anti-CD25 (PE cy7; BioLegend), and anti-CD127 (PE; BD Bioscience). PBMC and decidual mononuclear cells were stained by these antibodies for 20 min on ice. After staining, the cells were washed with PBS and analyzed using a FACSAria II flow cytometer (BD Biosciences). CD3+CD4+CD45RA−CD25+CD127low/− effector Treg cells were single-cell sorted into wells of a 96-well PCR plate. The gating strategy used to sort the effector Treg cells is presented in Figure 1.
TCR repertoire analysis of effector treg cells by single-cell RT-PCR and sequencing
TCRs and FoxP3 cDNAs were amplified from single cells using one-step multiplex RT-PCR as described previously (24). All PCR primers are listed in Supplementary Table 1. Contents of the PCR reaction mixture are listed in Supplementary Table 2. Five microliters of the RT-PCR mixture was added to each well containing a single effector Treg cell. One-step RT-PCR was performed with the following program: 40 min at 45°C for the RT reaction, 98°C for 1 min and 30 cycles of 98°C for 10 s, 52°C for 5 s, and 72°C for 1 min. The products were diluted 10-fold and 2 μL of each was added to 18 μL of the second PCR mixture. In the second cycle, TCRβ and FoxP3 cDNAs were amplified. The program for the second PCR was as follows: 98°C for 1 min and 35 cycles of 98°C for 10 s, 52°C for 5 s, and 72°C for 30 s. The second PCR products were used for direct sequencing to determine CDR3 of TCRβ. The TCR repertoire was analyzed with the IMGT/VQuest tool (http://www.imgt.org/). We classified effector Treg cells with identical CDR3 as the clonal population and those with unique CDR3 as the non-clonal population. To compare the clonality of the effector Treg cells, frequencies of clonal populations among the analyzed TCRs were calculated. For the assessment of TCR repertoire distribution, we calculated the Gini-coefficient as previously described (26). This coefficient was originally used in economic studies to describe income distribution. However, it is also useful to describe TCR repertoire distribution (26, 27). The Gini coefficient (G) is calculated as:
where “xi” indicates the abundance of the ith sequence and “n” indicates the total number of TCR sequences. The score ranges from 0 to 1; G = 1 means that all the TCR clones are the same. When the variation of TCR repertoire is large, G approaches 0. The raw data supporting the conclusions of this manuscript, except the private information of the subjects, will be made available by the authors, without undue reservation, to any qualified researchers.
Statistical analyses
Statistical analyses were performed with the JMP Pro 13.0.0 statistical analysis program (SAS Institute Inc., USA) and SPSS version 23 software (IBM, USA). The statistical tests used to determine statistical significance are indicated in the respective figure legends. Continuous variables are presented as median values with interquartile range, unless otherwise specified. A two-tailed p < 0.05 was considered significant.
Results
Clinical characteristics
Clinical characteristics of the subjects are shown in Table 1. Maternal ages of 1st trimester miscarriage and 3rd trimester normal pregnancy were higher than that of 1st trimester normal pregnancy. The frequency of cesarean section showed no significant difference between 3rd trimester normal pregnancy and preeclampsia.
Table 1.
1st trimester normal pregnancy | 3rd trimester normal pregnancy | 1st trimester miscarriage with abnormal embryo | 1st trimester miscarriage with normal embryo | 3rd trimester preeclampsia | |
---|---|---|---|---|---|
(n = 9) | (n = 12) | (n = 11) | (n = 7) | (n = 7) | |
Maternal age (years), median (IQR) | 28 (24–31) | 36 (33–38)† | 39 (38–41)† | 38 (32–40)† | 38 (31–41) |
Gravidities, median (IQR) | 3 (1–4) | 5 (2–5) | 3 (2–4) | 3 (2–4) | 2 (1–4) |
No. of liveborn children, median (IQR) | 0 (0–2) | 0 (0–1) | 0 (0–0) | 0 (0–1) | 0 (0–1) |
No. of miscarriages, median (IQR) | 0 (0–2) | 2 (0–3) | 1 (0–2) | 1 (1–3) | (0–2) |
Past history of stillbirth, n (%) | 0 (0.0) | 3 (25.0) | 1 (9.1) | 1 (14.3) | 0 (0.0) |
Nullipara, n (%) | 5 (55.5) | 5 (41.7) | 8 (72.7) | 3 (42.9) | 4 (57.1) |
Gestational weeks, median (IQR) | 7 (7–9) | 39 (38–40) | 9 (8–10) | 8 (8–10) | 34 (32–37) |
Cesarean section, n (%) | 4 (33.3) | 5 (71.4) |
IQR, interquartile range. Steel–Dwass test for continuous variables and Fisher's exact test for categorical variables.
p < 0.05 vs. 1st trimester normal pregnancy.
TCR repertoire analysis of effector treg cells in normal pregnancy
TCRβ and FoxP3 cDNAs were amplified from single cells and electrophoresed in agarose gel (Figure 2A). The number of analyzed TCRβ sequences of decidual effector Treg cells in 1st trimester normal pregnancy, 3rd trimester normal pregnancy, 1st trimester miscarriage with abnormal or normal embryo, and 3rd trimester pregnancy with preeclampsia for each subject was 49 (35.5–60), 46 (32.3–77.3), 36 (29–56), 43 (27–53), and 42 (31–45), respectively. The number of analyzed TCRβ sequences of effector Treg cells in PBMC in 1st trimester and 3rd trimester normal pregnancies was 70 (61.5–73.5) and 52 (43.5–60.8), respectively. Representative TCRβ repertoires in 1st trimester and 3rd trimester normal pregnancies are shown in Figure 2B. In the 3rd trimester, decidual effector Treg cells were clonally expanded and TCR repertoires were skewed (Figure 2B).
In normal pregnancy, the ratio of clonal populations of decidual effector Treg cells in the 3rd trimester was increased compared with the 1st trimester [4.5% (1.4–10.8%) vs. 20.9% (15.4–28.1%), p < 0.001]. In peripheral blood, the ratio for clonal populations of effector Treg cells was significantly smaller than that in paired decidual samples [0.0% (0.0–3.0%) vs. 4.5% (1.4–10.8%), p = 0.039 in the 1st trimester, 0.0% (0.0–3.3%) vs. 20.9% (15.4–28.1%), p < 0.001 in the 3rd trimester] and was not increased even in the 3rd trimester [0.0% (0.0–3.0%) vs. 0.0% (0.0–3.3%), p = 0.935; Figure 3A]. The Gini coefficient of the decidual TCRβ repertoire of effector Treg cells was higher in the 3rd trimester than in the 1st trimester [0.04 (0.02–0.09) vs. 0.22 (0.17–0.36), p < 0.001]. The Gini coefficient of the TCRβ repertoire of effector Treg cells in PBMC was lower than that in paired decidual samples in the 1st and 3rd trimesters [0.00 (0.00–0.03) vs. 0.04 (0.02–0.09), p = 0.046 in the 1st trimester, 0.00 (0.00–0.04) vs. 0.22 (0.17–0.36), p < 0.001 in the 3rd trimester; Figure 3B].
Frequencies of effector Treg cells among total Treg cells of 1st trimester decidua were significantly higher than that of peripheral blood [93.0% (82.4–94.6%) vs. 74.6% (58.0–91.4%), p = 0.032]. In the 3rd trimester, the p-value did not reach a significant level [87.0% (82.4–91.7%) vs. 79.6% (58.7–87.6%), p = 0.094; Figure 3C].
Next, we compared the TCR repertoires of peripheral blood and decidual effector Treg cells in each case. Common clonotype of effector Treg cells between PBMC and decidua appeared only in case #4 (two clones among 128 clones; 56 from decidua and 72 from PBMC) and case #16 (two clones among 82 clones; 40 from decidua and 42 from PBMC). The findings suggested marked differences in the characteristics of Treg cells between peripheral blood and decidua (Figure 4).
TCR repertoire of decidual effector treg cells between previous and subsequent pregnancy
When repertoires of effector Treg cells were compared between past and subsequent pregnancies of the same subjects, sharing of some part of the repertoire of decidual effector Treg cells was evident. In case A, the TCR repertoires of cases #10 and #20, a pair of previous and subsequent 3rd trimester normal vaginal deliveries, shared three clones among 149 clones (Figure 5A; shared clones are underlined). In case B, the TCR repertoires of cases #13 and #17 revealed four shared clones among 129 clones (Figure 5B; underlined). In case C, case #25 was a previous pregnancy and resulted in miscarriage with normal embryo and case #47 was a subsequent pregnancy of the same subject and resulted in miscarriage with abnormal embryo. This pair shared one clone among 84 clones (Figure 5C; underlined). None of the TCR repertoires of effector Treg cells in PBMC were shared between previous and subsequent pregnancies (data not shown). Among the subjects who experienced pregnancies several times during the study period, no subject had their pregnancies ending up in preeclampsia.
TCR repertoire of decidual effector treg cells of normal pregnancy and miscarriage
In 1st trimester decidua, the frequencies of clonal populations of effector Treg cells and the Gini coefficients of TCR repertoires of miscarriage with abnormal embryo showed no significant differences between normal pregnancy, miscarriage with abnormal embryo, and miscarriage with normal embryo (Figures 6A,B). Proportions of CD4+CD45RA−CD25+CD127low/− effector Treg cells among CD4+CD25+CD127low/− total Treg cells in decidua were significantly lower in miscarriage with normal embryo than normal pregnancy [80.0% (65.0–83.3%) vs. 90.6% (82.3–94.6%), p = 0.049; Figure 6C].
TCR repertoire of decidual effector treg cells of normal pregnancy and preeclampsia in 3rd trimester
In 3rd trimester decidua, frequencies of clonal populations of effector Treg cells (Figure 7A) and Gini coefficients of TCR repertoires (Figure 7B) were significantly lower in preeclampsia than normal pregnancy [9.3% (4.4–14.5%) vs. 20.9% (15.4–28.1%), p = 0.003 and 0.09 (0.04–0.17) vs. 0.22 (0.17–0.36), p = 0.005, respectively]. The proportions of CD4+CD45RA−CD25+CD127low/− decidual effector Treg cells among CD4+CD25+CD127low/− decidual total Treg cells did not differ significantly between the two groups [85.8% (71.1–88.4%) vs. 87.0% (82.4–91.7%), p = 0.331] (Figure 7C).
Discussion
This study is the first report of the increase of clonally expanded decidual effector Treg cells in late gestation of normal pregnancy. In contrast, the repertoire of effector Treg cells of PBMC was not skewed in the 3rd trimester. A previous study showed that TRBV repertoires of total Treg cells differ in PBMC and decidua in the 3rd trimester (22). Our data support this finding. Neller et al. used 25 TRBV monoclonal antibodies in a TCR repertoire analysis. The analysis could not determine whether the skewed TCR repertoire occurred due to clonal expansion or not. We analyzed TCR repertoires more precisely based on CDR3 sequences that are a part of antigen binding site and provide high variety of TCR. Our results reveal that the skewed TCR repertoire in effector Treg cells in decidua, but not in peripheral blood during pregnancy, reflects clonal expansion of effector Treg cells in the decidua.
Concerning the relationship between the maldistribution or dysfunction of Treg cells and pregnancy complications, such as recurrent pregnancy loss or preeclampsia, the failure to maintain feto-maternal tolerance is thought to be one of the causes of these diseases (16–21). In the 1st trimester, miscarriage with normal embryo showed decreased population of decidual effector Treg cells compared with normal pregnancy. This result is consistent with our previous report of the decreased proportion of effector Treg cells in miscarriage with normal embryo than 1st trimester normal pregnancy (15). In contrast, the TCR repertoire in this study showed no significant skew between these populations (Figure 6). Taken together, our findings suggest that the decreased number of decidual effector Treg cells might be related to the pathogenesis of miscarriage with normal fetal karyotype, rather than an altered TCR repertoire. On the other hand, preeclampsia showed insufficient clonal expansion of decidual effector Treg cells compared with normal pregnancy in the 3rd trimester. In the 3rd trimester, effector Treg cells are the most dominant subset among Treg cells in PBMC and at the uteroplacental interface (14). The decrease in clonal populations of decidual effector Treg cells might be related to the pathogenesis of preeclampsia.
Concerning the TCR clonotypes of decidual effector Treg cells, we show for the first time that some TCR clonotypes in decidual effector Treg cells are shared between previous and subsequent pregnancies of the same subjects, but not those in PBMC. The lower limit for the number of different CDR3 amino acid sequences in TCRβ is estimated to be ~2 × 107 in young humans (28). This indicates that there is a very low probability of coincidence of the CDR3 amino acid sequence between two independent Treg cells if there is no force to skew the populations. Thus, effector Treg cell clones shared between previous and subsequent pregnancies might be recruited by reacting to the same antigens expressed in feto-maternal interface, suggesting that fetal antigen-specific Treg cells might accumulate at the feto-maternal interface.
The existence of fetal antigen-specific Treg cells and those recruited to the feto-maternal interface during pregnancy were reported in mice (8–10). An examination of functional differences of Treg cells from PBMC and decidua in humans led to the suggestion that decidual Treg cells contain fetal-antigen specific populations (11). However, fetal antigen-specific Treg cell clones have not been identified in humans. The present finding of common Treg cell clones in the decidua in previous and subsequent pregnancies raises the possibility that these clones might react to antigens expressed in feto-maternal interface and, thus, could be candidates of fetal antigen-specific Treg cells. Regarding the target antigen presenting cells for Treg cells in human decidua, it has been reported that HLA-C mismatched pregnancies feature an increased amount of Treg cells and higher activation of conventional T cells than non-mismatched pregnancies (29). HLA-C, E, F, and G are expressed in extravillous trophoblasts (30–33). These expressed HLAs might be potent antigens recognized by Treg cells.
Some limitations of our study have to be considered. Firstly, we could not amplify TCRα as efficiently as TCRβ. Thus, the TCR repertoire was analyzed based on TCRβ and not paired TCR. Secondly, our single cell TCR repertoire analysis covered only a limited number of Treg cell clones compared with the bulk TCR repertoire analysis by next-generation sequencing. Thirdly, the functionality of TCRs was not assessed. TCRs derived from antigen-specific Treg cells and their function were demonstrated by using TCRmini mice, whose TCRβ is identical in all T cells (34, 35). In humans, a functional assay of target-specific polyclonal Treg cells has been developed (27). However, a direct functional assay of TCRs obtained from Treg cells is still not available, reflecting the limited knowledge about epitopes from physiological targets of Treg cells (27, 36). TCRs from tumor specific conventional CD4+ T cells and CD8+ T cells were identified using single-cell RT-PCR methods (23, 24, 37, 38). We also demonstrated a rapid and efficient functional assay for TCRs directly obtained from CD8+ T cells using TCR-transduced lymphocytes in the absence of information on antigen or MHC haplotype (38). We tried to apply this technique to mixed lymphocyte reaction of paired αβ TCR-transduced maternal T cells or TCR-negative T cell lines against self-fetal umbilical cord blood but were unsuccessful. An assay method capable of identifying target-specific Treg or CD4+ T cells using TCR-transduced responder cells in the absence of information concerning their antigen or MHC haplotype, to the best of our knowledge, has not been reported yet. It might be technically more difficult than analysis of TCRs obtained from CD8+T cells, thus novel strategy might be needed to improve assay method of TCRs obtained from CD4+ T cells. When the assay method is established, the function of obtained TCRs will be explored. Fourthly, we have not been able to demonstrate a relationship between the TCR clonotype and effector molecule expression. Zemmour et al. showed that Treg cells, which share the same TCR clonotype, display similar transcriptional identities by single-cell analysis in mice (39). Combined single-cell TCR and gene expression analysis should be addressed, thereby providing further insight into features of heterogeneous decidual Treg cells.
In summary, we show for the first time that effector Treg cells are clonally expanded in 3rd trimester decidua, but not in peripheral blood in humans. In preeclampsia, the TCR repertoires of decidual effector Treg cells were not skewed. Clonally expanded effector Treg cell populations might be more important in the 3rd trimester than in the 1st trimester. Insufficient expansion of clonal effector Treg cells in decidua might be an etiological aspect in the development of preeclampsia. On the other hand, the frequency of effector Treg cells among the total Treg cells decreased in cases of miscarriage with normal fetal chromosomal content, but clonal effector Treg cells did not decrease. Our findings further the understanding of the mechanisms of feto-maternal tolerance and could provide clues for understanding the different aspects of the pathophysiology of preeclampsia and miscarriage.
Ethics statement
This study was carried out in accordance with the recommendations of Ethical Guidelines for Medical and Health Research Involving Human Subjects, the Ministry of Health, Labor and Welfare, Japan. The protocol was approved by the ethics review committee of University of Toyama (Rin 28-144). All subjects gave written informed consent in accordance with the Declaration of Helsinki.
Author contributions
SS, HK, and AM: conception and design; ST, XZ, and AU: acquiring and processing samples; ST, XZ, HK, HH, AU, and KT: execution of experiment; ST and XZ: analysis of data; ST, XZ, HK, HH, TS, and SS: interpretation of data; ST, TS, and SS: drafting manuscript; XZ, HK, HH, TS, AU, KT, and AM: revision of the manuscript for important intellectual content.
Conflict of interest statement
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Acknowledgments
The authors thank Hiroshi Furuya and Masanori Yoshie for providing samples.
Footnotes
Funding. This work was supported by grants from Ministry of Education, Culture, Sports, Science and Technology in Japan [KAKENHI Grant Number 15H04980 (SS), 17K11221 (TS), and 16H06499 (HK)] and AMED under Grant Number JP17gk0110018 (SS).
Supplementary material
The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fimmu.2018.01934/full#supplementary-material
References
- 1.Aluvihare VR, Kallikourdis M, Betz AG. Regulatory T cells mediate maternal tolerance to the fetus. Nat Immunol. (2004) 5:266–71. 10.1038/ni1037 [DOI] [PubMed] [Google Scholar]
- 2.Sasaki Y, Sakai M, Miyazaki S, Higuma S, Shiozaki A, Saito S. Decidual and peripheral blood CD4+CD25+ regulatory T cells in early pregnancy subjects and spontaneous abortion cases. Mol Hum Reprod. (2004) 10:347–53. 10.1093/molehr/gah044 [DOI] [PubMed] [Google Scholar]
- 3.Somerset DA, Zheng Y, Kilby MD, Sansom DM, Drayson MT. Normal human pregnancy is associated with an elevation in the immune suppressive CD25+ CD4+ regulatory T-cell subset. Immunology (2004) 112:38–43. 10.1111/j.1365-2567.2004.01869.x [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Zenclussen AC, Gerlof K, Zenclussen ML, Sollwedel A, Bertoja AZ, Ritter T, et al. Abnormal T-cell reactivity against paternal antigens in spontaneous abortion: adoptive transfer of pregnancy-induced CD4+CD25+ T regulatory cells prevents fetal rejection in a murine abortion model. Am J Pathol. (2005) 166:811–22. 10.1016/S0002-9440(10)62302-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Shima T, Sasaki Y, Itoh M, Nakashima A, Ishii N, Sugamura K, et al. Regulatory T cells are necessary for implantation and maintenance of early pregnancy but not late pregnancy in allogeneic mice. J Reprod Immunol. (2010) 85:121–9. 10.1016/j.jri.2010.02.006 [DOI] [PubMed] [Google Scholar]
- 6.Samstein RM, Josefowicz SZ, Arvey A, Treuting PM, Rudensky AY. Extrathymic generation of regulatory T cells in placental mammals mitigates maternal-fetal conflict. Cell (2012) 150:29–38. 10.1016/j.cell.2012.05.031 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Moldenhauer LM, Diener KR, Thring DM, Brown MP, Hayball JD, Robertson SA. Cross-presentation of male seminal fluid antigens elicits T cell activation to initiate the female immune response to pregnancy. J Immunol. (2009) 182:8080–93. 10.4049/jimmunol.0804018 [DOI] [PubMed] [Google Scholar]
- 8.Kahn DA, Baltimore D. Pregnancy induces a fetal antigen-specific maternal T regulatory cell response that contributes to tolerance. Proc Natl Acad Sci USA. (2010) 107:9299–304. 10.1073/pnas.1003909107 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Rowe JH, Ertelt JM, Xin L, Way SS. Pregnancy imprints regulatory memory that sustains anergy to fetal antigen. Nature (2012) 490:102–6. 10.1038/nature11462 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Shima T, Inada K, Nakashima A, Ushijima A, Ito M, Yoshino O, et al. Paternal antigen-specific proliferating regulatory T cells are increased in uterine-draining lymph nodes just before implantation and in pregnant uterus just after implantation by seminal plasma-priming in allogeneic mouse pregnancy. J Reprod Immunol. (2015) 108:72–82. 10.1016/j.jri.2015.02.005 [DOI] [PubMed] [Google Scholar]
- 11.Tilburgs T, Roelen DL, van der Mast BJ, de Groot-Swings GM, Kleijburg C, Scherjon SA, et al. Evidence for a selective migration of fetus-specific CD4+CD25bright regulatory T cells from the peripheral blood to the decidua in human pregnancy. J Immunol. (2008) 180:5737–45. 10.4049/jimmunol.180.8.5737 [DOI] [PubMed] [Google Scholar]
- 12.Miyara M, Yoshioka Y, Kitoh A, Shima T, Wing K, Niwa A, et al. Functional delineation and differentiation dynamics of human CD4+ T cells expressing the FoxP3 transcription factor. Immunity (2009) 30:899–911. 10.1016/j.immuni.2009.03.019 [DOI] [PubMed] [Google Scholar]
- 13.Miyara M, Chader D, Sage E, Sugiyama D, Nishikawa H, Bouvry D, et al. Sialyl Lewis x (CD15s) identifies highly differentiated and most suppressive FOXP3high regulatory T cells in humans. Proc Natl Acad Sci USA. (2015) 112:7225–30. 10.1073/pnas.1508224112 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Loewendorf AI, Nguyen TA, Yesayan MN, Kahn DA. Normal human pregnancy results in maternal immune activation in the periphery and at the uteroplacental interface. PLoS ONE (2014) 9:e96723. 10.1371/journal.pone.0096723 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Inada K, Shima T, Ito M, Ushijima A, Saito S. Helios-positive functional regulatory T cells are decreased in decidua of miscarriage cases with normal fetal chromosomal content. J Reprod Immunol. (2015) 107:10–9. 10.1016/j.jri.2014.09.053 [DOI] [PubMed] [Google Scholar]
- 16.Sasaki Y, Darmochwal-Kolarz D, Suzuki D, Sakai M, Ito M, Shima T, et al. Proportion of peripheral blood and decidual CD4(+) CD25(bright) regulatory T cells in pre-eclampsia. Clin Exp Immunol. (2007) 149:139–45. 10.1111/j.1365-2249.2007.03397.x [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Toldi G, Svec P, Vasarhelyi B, Meszaros G, Rigo J, Tulassay T, et al. Decreased number of FoxP3+ regulatory T cells in preeclampsia. Acta Obstet Gynecol Scand. (2008) 87:1229–33. 10.1080/00016340802389470 [DOI] [PubMed] [Google Scholar]
- 18.Prins JR, Boelens HM, Heimweg J, Van der Heide S, Dubois AE, Van Oosterhout AJ, et al. Preeclampsia is associated with lower percentages of regulatory T cells in maternal blood. Hypertens Pregnancy (2009) 28:300–11. 10.1080/10641950802601237 [DOI] [PubMed] [Google Scholar]
- 19.Hsu P, Santner-Nanan B, Dahlstrom JE, Fadia M, Chandra A, Peek M, et al. Altered decidual DC-SIGN+ antigen-presenting cells and impaired regulatory T-cell induction in preeclampsia. Am J Pathol. (2012) 181:2149–60. 10.1016/j.ajpath.2012.08.032 [DOI] [PubMed] [Google Scholar]
- 20.Steinborn A, Schmitt E, Kisielewicz A, Rechenberg S, Seissler N, Mahnke K, et al. Pregnancy-associated diseases are characterized by the composition of the systemic regulatory T cell (Treg) pool with distinct subsets of Tregs. Clin Exp Immunol. (2012) 167:84–98. 10.1111/j.1365-2249.2011.04493.x [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Nguyen TA, Kahn DA, Loewendorf AI. Maternal-Fetal rejection reactions are unconstrained in preeclamptic women. PLoS ONE (2017) 12:e0188250. 10.1371/journal.pone.0188250 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Neller MA, Santner-Nanan B, Brennan RM, Hsu P, Joung S, Nanan R, et al. Multivariate analysis using high definition flow cytometry reveals distinct t cell repertoires between the fetal-maternal interface and the peripheral blood. Front Immunol. (2014) 5:33. 10.3389/fimmu.2014.00033 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Kobayashi E, Mizukoshi E, Kishi H, Ozawa T, Hamana H, Nagai T, et al. A new cloning and expression system yields and validates TCRs from blood lymphocytes of patients with cancer within 10 days. Nat Med. (2013) 19:1542–6. 10.1038/nm.3358 [DOI] [PubMed] [Google Scholar]
- 24.Hamana H, Shitaoka K, Kishi H, Ozawa T, Muraguchi A. A novel, rapid and efficient method of cloning functional antigen-specific T-cell receptors from single human and mouse T-cells. Biochem Biophys Res Commun. (2016) 474:709–14. 10.1016/j.bbrc.2016.05.015 [DOI] [PubMed] [Google Scholar]
- 25.Tranquilli AL, Dekker G, Magee L, Roberts J, Sibai BM, Steyn W, et al. The classification, diagnosis and management of the hypertensive disorders of pregnancy: a revised statement from the ISSHP. Pregnancy Hypertens. (2014) 4:97–104. 10.1016/j.preghy.2014.02.001 [DOI] [PubMed] [Google Scholar]
- 26.van der Geest KS, Abdulahad WH, Horst G, Lorencetti PG, Bijzet J, Arends S, et al. Quantifying distribution of flow Cytometric TCR-Vbeta usage with economic statistics. PLoS ONE (2015) 10:e0125373. 10.1371/journal.pone.0125373 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Bacher P, Heinrich F, Stervbo U, Nienen M, Vahldieck M, Iwert C, et al. Regulatory T cell specificity directs tolerance versus allergy against Aeroantigens in humans. Cell (2016) 167:1067.e16–78.e16. 10.1016/j.cell.2016.09.050 [DOI] [PubMed] [Google Scholar]
- 28.Qi Q, Liu Y, Cheng Y, Glanville J, Zhang D, Lee JY, et al. Diversity and clonal selection in the human T-cell repertoire. Proc Natl Acad Sci USA. (2014) 111:13139–44. 10.1073/pnas.1409155111 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Tilburgs T, Scherjon SA, van der Mast BJ, Haasnoot GW, Versteeg VDV-MM, Roelen DL, et al. Fetal-maternal HLA-C mismatch is associated with decidual T cell activation and induction of functional T regulatory cells. J Reprod Immunol. (2009) 82:148–57. 10.1016/j.jri.2009.05.003 [DOI] [PubMed] [Google Scholar]
- 30.Kovats S, Main EK, Librach C, Stubblebine M, Fisher SJ, DeMars R. A class I antigen, HLA-G, expressed in human trophoblasts. Science (1990) 248:220–3. 10.1126/science.2326636 [DOI] [PubMed] [Google Scholar]
- 31.Barakonyi A, Kovacs KT, Miko E, Szereday L, Varga P, Szekeres-Bartho J. Recognition of nonclassical HLA class I antigens by gamma delta T cells during pregnancy. J Immunol. (2002) 168:2683–8. 10.4049/jimmunol.168.6.2683 [DOI] [PubMed] [Google Scholar]
- 32.Ishitani A, Sageshima N, Lee N, Dorofeeva N, Hatake K, Marquardt H, et al. Protein expression and peptide binding suggest unique and interacting functional roles for HLA-E, F, and G in maternal-placental immune recognition. J Immunol. (2003) 171:1376–84. 10.4049/jimmunol.171.3.1376 [DOI] [PubMed] [Google Scholar]
- 33.Tilburgs T, Crespo AC, van der Zwan A, Rybalov B, Raj T, Stranger B, et al. Human HLA-G+ extravillous trophoblasts: immune-activating cells that interact with decidual leukocytes. Proc Natl Acad Sci USA. (2015) 112:7219–24. 10.1073/pnas.1507977112 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Lathrop SK, Bloom SM, Rao SM, Nutsch K, Lio CW, Santacruz N, et al. Peripheral education of the immune system by colonic commensal microbiota. Nature (2011) 478:250–4. 10.1038/nature10434 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Cebula A, Seweryn M, Rempala GA, Pabla SS, McIndoe RA, Denning TL, et al. Thymus-derived regulatory T cells contribute to tolerance to commensal microbiota. Nature (2013) 497:258–62. 10.1038/nature12079 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Bacher P, Scheffold A. New technologies for monitoring human antigen-specific T cells and regulatory T cells by flow-cytometry. Curr Opin Pharmacol. (2015) 23:17–24. 10.1016/j.coph.2015.04.005 [DOI] [PubMed] [Google Scholar]
- 37.Stevanovic S, Pasetto A, Helman SR, Gartner JJ, Prickett TD, Howie B, et al. Landscape of immunogenic tumor antigens in successful immunotherapy of virally induced epithelial cancer. Science (2017) 356:200–5. 10.1126/science.aak9510 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Shitaoka K, Hamana H, Kishi H, Hayakawa Y, Kobayashi E, Sukegawa K, et al. Identification of tumoricidal TCRs from tumor-infiltrating lymphocytes by single-cell analysis. Cancer Immunol Res. (2018) 6:378–88. 10.1158/2326-6066.CIR-17-0489 [DOI] [PubMed] [Google Scholar]
- 39.Zemmour D, Zilionis R, Kiner E, Klein AM, Mathis D, Benoist C. Single-cell gene expression reveals a landscape of regulatory T cell phenotypes shaped by the TCR. Nat Immunol. (2018) 19:291–301. 10.1038/s41590-018-0051-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
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