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Suppressive regulatory T cells and latent transforming growth factor-β-expressing macrophages are altered in the peritoneal fluid of patients with endometriosis

  • 1,
  • 1Email author,
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  • 1,
  • 1,
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  • 3,
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Reproductive Biology and Endocrinology201816:9

https://doi.org/10.1186/s12958-018-0325-2

  • Received: 19 September 2017
  • Accepted: 17 January 2018
  • Published:

Abstract

Background

Endometriosis is a known cause of infertility. Differences in immune tolerance caused by regulatory T cells (Tregs) and transforming growth factor-β (TGF-β) are thought to be involved in the pathology of endometriosis. Evidence has indicated that Tregs can be separated into three functionally and phenotypically distinct subpopulations and that activated TGF-β is released from latency-associated peptide (LAP) on the surfaces of specific cells. The aim of this study was to examine differences in Treg subpopulations and LAP in the peripheral blood (PB) and peritoneal fluid (PF) of patients with and without endometriosis.

Methods

PB and PF were collected from 28 women with laparoscopically and histopathologically diagnosed endometriosis and 20 disease-free women who were subjected to laparoscopic surgery. Three subpopulations of CD4+ T lymphocytes (CD45RA+FoxP3low resting Tregs, CD45RAFoxP3high effector Tregs, and CD45RAFoxP3low non-Tregs) and CD11b+ mononuclear cells expressing LAP were analyzed by flow cytometry using specific monoclonal antibodies.

Results

Proportions of suppressive Tregs (resting and effector Tregs) were significantly higher in the PF samples of patients with endometriosis than in those of control women (P = 0.02 and P < 0.01, respectively) but did not differ between the PB samples of patients and controls. The percentage of CD11b+LAP+ macrophages was significantly lower in PF samples of patients with endometriosis than in those of controls (P < 0.01) but was not altered in the PB samples.

Conclusion

Proportions of suppressive Tregs and LAP+ macrophages are altered locally in the PF of endometriosis patients.

Keywords

  • Regulatory T cell
  • TGF-β
  • Latency-associated peptide
  • Endometriosis

Background

Endometriosis, defined by the presence of endometrial glands and stroma outside the uterus, is a common, chronic, estrogen-dependent disease contributing to dysmenorrhea and infertility. One leading theory hypothesizes that peritoneal lesions are derived from steroid hormone-sensitive endometrial cells and tissues that are implanted on the peritoneal surface during retrograde menstruation, eliciting an inflammatory response. Although most women exhibit retrograde menstruation, affected women may suffer from immune dysfunction that interferes with the clearing of such lesions [1].

FoxP3-expressing CD4+ regulatory T cells (Tregs) play an indispensable role in the maintenance of self-tolerance and immune homeostasis [2] and are involved in various human diseases, such as autoimmune diseases, allergies, and cancer [35]. FoxP3+ cells, however, are heterogeneous in function and phenotype. Miyara et al. suggested that human FoxP3-expressing CD4+ Tregs can be separated into three functionally and phenotypically distinct subpopulations: 1) CD45RA+FoxP3low resting Tregs (rTregs), 2) CD45RAFoxP3high effector Tregs (eTregs), and 3) cytokine-secreting CD45RAFoxP3low non-Tregs (non-Tregs) [6, 7]. rTregs and eTregs have been shown to be suppressive Tregs, whereas non-Tregs are non-suppressive. Although rTregs do not exhibit proliferative potential in vitro, upon antigenic stimulation, they acquire an eTreg phenotype, i.e., FoxP3 is upregulated, followed by proliferation and eventual differentiation into eTregs. In humans, conflicting results have been obtained regarding whether populations of Tregs in the peritoneal fluid (PF) or peripheral blood (PB) differ significantly between patients with endometriosis and controls [810]. Moreover, the association between endometriosis and Treg subpopulations has not been well studied. Thus, in this study, we focused on assessing the association of each Treg subpopulation with endometriosis.

Transforming growth factor-β (TGF-β) induces FoxP3+ Tregs and inhibits the proliferation of immune cells and cytokine production via FoxP3-dependent and -independent mechanisms [11]. TGF-β is secreted as an inactive form that is trapped by latency-associated peptide (LAP) to form the small latent complex. The addition of the latent TGF-β-binding protein forms the large latent complex, which is deposited onto the extracellular matrix. After being released from LAP, activated TGF-β plays important roles in the control of cell proliferation, differentiation, and apoptosis [12]. According to several studies, a strong association between TGF-β levels in PF and endometriosis has been observed [13]. PF mainly comprises macrophages, with smaller numbers of lymphocytes, natural killer cells, and mesothelial cells [14, 15]. However, the contribution of activated TGF-β released from macrophages remains unclear, as the surface expression of LAP on the macrophages of endometriosis patients has not yet been determined.

Therefore, in the present study, we assessed the immunotolerance of patients with endometriosis by analyzing Treg subpopulations and LAP expression in macrophages and monocytes derived from the PF and PB, respectively, of patients with endometriosis and controls.

Methods

Patients

This single-center study was approved by the Ethics Committee of Shiga University of Medical Science (approval number: 26–217) prior to patient recruitment. Patients were recruited the day before surgery when they were hospitalized in the University Hospital. All participants were Japanese, and only women who still exhibited a menstrual cycle were recruited; patients who were menstruating at the time of admission were not recruited. All patients accepted the recruitment, and they were distributed into endometriosis group or control group based on the findings of laparoscopic surgery and post-surgical histopathology. Five patients were excluded (4 due to insufficient volume of the PF and 1 due to an acute inflammatory finding during surgery and a diagnosis of chlamydia peritonitis after surgery), and a total of 28 women diagnosed with endometriosis (mean age: 34.3 years, range: 23–46 years) were enrolled. All patients with endometriosis were classified as stage I–IV according to the revised American Society for Reproductive Medicine classification [16]. In the endometriosis group, 12 patients were in the proliferative phase, and 16 were in the secretory phase. Patients without visible endometriotic foci and pelvic inflammation who underwent laparoscopic excision of benign ovarian tumors and uterine myomas or diagnostic laparoscopy for infertility were assigned to the control group. A total of 20 women were enrolled in the control group (mean age: 36.1 years, range: 19–46 years). In the control group, 10 were in the proliferative phase, and 10 were in the secretory phase. Samples in the proliferative phase were collected on days 5–10 of the menstrual cycle, and samples in the secretory phase were collected on days 3–10 after ovulation. None of the patients were being treated with pharmacological medications, such as gonadotropin-releasing hormone agonists, low-dose estrogen and progestin, or dienogest, and all patients were free from other acute or chronic inflammatory diseases. Table 1 shows a summary of patient characteristics, including phase of the menstrual cycle and stage of endometriosis.
Table 1

Summary of patient characteristics

 

Endometriosis

Control

P value

(n = 28)

(n = 20)

Age in years, mean (range)

34.3 (23–46)

36.1 (19–36)

0.13

BMI, mean (range)

20.3 (17.3–24.0)

21.0 (18.5–25.7)

0.45

Gravida, mean (range)

0.68 (0–2)

1.0 (0–4)

0.67

Para, mean (range)

0.39 (0–2)

0.75 (0–3)

0.46

Smokers

none

1

Not applicable

Stage of Menstrual Cycle

Proliferative

12

10

Not applicable

Secretory

16

10

Not applicable

Stage of Endometriosis

I

7

Not applicable

 

II

6

III

11

IV

4

Differences between groups were analyzed by Mann-Whitney U-tests

Sample collection

PB samples were obtained from patients and controls and were added to heparin-containing tubes within 24 h of surgery. PB mononuclear cells (PBMCs) were isolated from residual blood cells by density gradient centrifugation using Ficoll-Paque PLUS (GE Healthcare, Little Chalfont, UK). Cells were washed twice with phosphate-buffered saline by centrifugation at 400×g for 10 min. PF was aspirated by a laparoscopic procedure and added to heparin-containing tubes. The supernatant from the ascites was collected by centrifugation at 400×g for 5 min. Mononuclear cells (MNCs) were isolated following the same method used for PBMCs. All samples were transferred to our laboratory within 30 min of collection, and the aforementioned procedure was started immediately.

Monoclonal antibodies

Monoclonal antibodies against CD4-FITC (RPA-T4), CD11b-APC (ICRF44), CD45RA-APC (5H9), and FoxP3-PE (259D/C7) were purchased from Becton Dickinson (Franklin Lakes, NJ, USA). LAP-PE (clone 27,232) was purchased from R&D Systems (Minneapolis, MN, USA). Mouse IgG1-FITC, mouse IgG1-PE, and mouse IgG1-APC were purchased from eBioscience (San Diego, CA, USA) and were used as isotype-matched negative controls. Human Fc receptor blocker was purchased from Becton Dickinson. Ethidium monoazide bromide was purchased from Molecular Probes, Inc. (Eugene, OR, USA).

Flow cytometry analysis

For Treg assays, PBMCs and MNCs were blocked with human Fc receptor blocker for 10 min on ice and stained for 20 min on ice in the dark using antibodies against CD4 and CD45RA. After washing, the cells were stained with ethidium monoazide bromide for 20 min on ice and permeabilized using a FoxP3 Staining Kit (Becton Dickinson), according to the manufacturer’s protocol. Cells were analyzed using a FACS Aria flow cytometer (BD Biosciences, CA, USA), and 20,000 CD4+ cells were obtained (Fig. 1a and b). For monocyte and macrophage LAP staining assays, PBMCs and MNCs were stained to detect CD11b and LAP. Cells were analyzed using a FACS Aria flow cytometer, and 20,000 CD11b+ cells were obtained (Fig. 1c and d).
Fig. 1
Fig. 1

Determination of frequencies of Tregs and LAP+ macrophages and monocytes. a, b Gating of CD4+ T lymphocytes and determination of the proportions of three subpopulations in the peripheral blood (a) and peritoneal fluid (b): CD45RA+FoxP3low resting Tregs (rTregs), CD45RAFoxP3high effector Tregs (eTregs), and CD45RAFoxP3low non-Tregs (non-Tregs). c, d Side light scattering and staining with CD11b gating to detect CD11b+ monocytes and macrophages from the peripheral blood (c) and peritoneal fluid (d). e Staining with isotype control, CD11b+LAP+ monocytes from the peripheral blood, and CD11b+LAP+ macrophages from the peritoneal fluid

Evaluation of TGF-β concentration in the PF

The frozen plasma samples of the PF were preserved at − 80 °C until analysis. Subsequently, the samples were sent to SRL Inc. (Tokyo, Japan) for evaluation of the concentration of TGF-β1 by enzyme-linked immunosorbent assay (ELISA) using a Quantikine human TGF-β1 immunoassay (R&D Systems; Minneapolis, MN, USA), which was performed according to the manufacture’s recommendation.

Statistical analysis

Statistical analyses were performed using GraphPad Prism version 6 (GraphPad Software, Inc., La Jolla, CA, USA). Continuous variables were analyzed using Mann-Whitney U-tests. Fisher’s exact tests were performed for comparisons between two groups. Differences with P < 0.05 were considered statistically significant.

Results

Treg subpopulations in the PF and PB of patients with endometriosis and controls

We gated CD4+ T lymphocytes and determined the proportions of three subpopulations of cells in the PB and PF: CD45RA+FoxP3low rTregs, CD45RAFoxP3high eTregs, and CD45RAFoxP3low non-Tregs (Fig. 1a and b). We did not detect cyclical changes in these subpopulations in patients with endometriosis or controls (Table 2). FACS analysis revealed that the frequencies of rTregs and eTregs in the PF were significantly higher in the endometriosis group (medians: 0.60% and 3.4%, respectively) than in the control group [medians: 0.25% (P = 0.02) and 1.7% (P < 0.01), respectively]; however, these did not differ between the two groups in the PB [median rTregs: 1.4% (endometriosis) and 1.9% (control), P = 0.31; median eTregs: 0.70% (endometriosis) and 0.90% (control), P = 0.29] (Fig. 2a and b). There were no significant differences in non-Tregs between patients and controls in either the PB or PF (Fig. 2c). Significant differences were also observed in comparisons based on the menstrual cycle stage (Table 3). Comparison of rTregs and eTregs in the PF with severity of endometriosis (rASRM stage I and II vs. III and IV) showed no significant difference between the two groups [median rTregs: 0.75% (stage I and II) and 0.65% (stage III and IV), P = 0.59; median eTregs: 2.8% (stage I and II) and 3.6% (stage III and IV), P = 0.28].
Table 2

Comparison of Treg subpopulations, LAP+CD11b+ monocytes, and TGF-β between proliferative and secretory phases in each group (mean ± SD)

Peritoneal fluid

 

Phase

rTregs (%)

P

eTregs (%)

P

nonTregs (%)

P

LAP+CD11b + Macrophages

P

TGF-β

P

Endometriosis

Proliferative (n = 12)

0.73 ± 0.56

ns

3.9 ± 1.7

ns

7.7 ± 2.7

ns

13.0 ± 14.4

ns

1.12 ± 0.57

ns

Secretory (n = 16)

0.82 ± 0.75

3.1 ± 2.8

6.0 ± 3.0

12.1 ± 16.4

1.09 ± 0.32

Control

Proliferative (n = 10)

0.47 ± 0.60

ns

2.2 ± 1.5

ns

5.8 ± 2.1

ns

80.0 ± 19.7

ns

0.85 ± 0.26

ns

Secretory (n = 10)

0.30 ± 0.24

1.8 ± 1.3

8.6 ± 1.6

81.3 ± 17.3

0.79 ± 0.26

Peripheral blood

 

Phase

rTregs (%)

P

eTregs (%)

P

nonTregs (%)

P

LAP+CD11b + Monocytes

P

  

Endometriosis

Proliferative (n = 12)

1.3 ± 0.61

ns

1.2 ± 2.2

ns

2.4 ± 1.9

ns

83.5 ± 16.7

ns

  

Secretory (n = 16)

2.1 ± 1.6

0.9 ± 1.0

3.0 ± 1.8

80.3 ± 19.7

  

Control

Proliferative (n = 10)

1.3 ± 2.6

ns

1.2 ± 0.8

ns

4.4 ± 2.6

ns

79.2 ± 19.1

ns

  

Secretory (n = 10)

0.8 ± 2.8

0.8 ± 0.4

3.9 ± 2.2

85.9 ± 11.5

  

Differences between groups were analyzed by Mann-Whitney U-tests. ns, not significant

Fig. 2
Fig. 2

Proportion of Tregs in peripheral blood and peritoneal fluid of patients with endometriosis and controls. Proportions of CD45RA+FoxP3low (rTregs) (a), CD45RAFoxP3high (eTregs) (b), and CD45RAFoxP3low (non-Tregs) cells (c) among the CD4+ population in the peripheral blood and peritoneal fluid of patients with endometriosis (EN, n = 28) and controls (CN, n = 10). Horizontal bars represent medians. Differences between groups were analyzed by Mann-Whitney U-tests

Table 3

Comparison of Treg subpopulations, LAP+CD11b+ monocytes, and TGF-β concentrations in proliferative and secretory phases (mean ± SD) between endometriosis and control groups

Peritoneal fluid

Proliferative

rTregs (%)

P

eTregs (%)

P

nonTregs (%)

P

LAP+CD11b + Macrophages

P

TGF-β

P

 Endometriosis (n = 12)

0.73 ± 0.56

< 0.05

3.9 ± 1.7

< 0.05

7.7 ± 2.7

ns

13.0 ± 14.4

< 0.05

1.12 ± 0.57

< 0.05

 Control (n = 10)

0.47 ± 0.60

2.2 ± 1.5

5.8 ± 2.1

80.0 ± 19.7

0.85 ± 0.26

Secretory

rTregs (%)

P

eTregs (%)

P

nonTregs (%)

P

LAP+CD11b + Macrophages

P

TGF-β

P

 Endometriosis (n = 16)

0.82 ± 0.75

< 0.05

3.1 ± 2.8

< 0.05

6.0 ± 3.0

ns

12.1 ± 16.4

< 0.05

1.09 ± 0.32

< 0.05

 Control (n = 10)

0.30 ± 0.24

1.8 ± 1.3

8.6 ± 1.6

81.3 ± 17.3

0.79 ± 0.26

Peripheral blood

Proliferative

rTregs (%)

P

eTregs (%)

P

nonTregs (%)

P

LAP+CD11b + Monocytes

P

  

 Endometriosis (n = 12)

1.3 ± 0.61

ns

1.2 ± 2.2

ns

2.4 ± 1.9

ns

83.5 ± 16.7

ns

  

 Control (n = 10)

1.3 ± 2.6

1.2 ± 0.8

4.4 ± 2.6

79.2 ± 19.1

  

Secretory

rTregs (%)

P

eTregs (%)

P

nonTregs (%)

P

LAP+CD11b + Monocytes

P

  

 Endometriosis (n = 12)

2.1 ± 1.6

ns

0.9 ± 1.0

ns

3.0 ± 1.8

ns

80.3 ± 19.7

ns

  

 Control (n = 10)

0.8 ± 2.8

0.8 ± 0.4

3.9 ± 2.2

85.9 ± 11.5

  

Differences between groups were analyzed by Mann-Whitney U-tests. ns, not significant

CD11b+LAP+ MNCs in the PF and PB of patients with endometriosis

PBMCs and MNCs were examined using side light scattering and analysis of CD11b expression to detect monocytes and macrophages by flow cytometry (Fig. 1c and d). We then determined the frequencies of LAP+ cells among CD11b+ monocytes and macrophages in the PB and PF (Fig. 1e). We did not detect cyclical changes in the proportions of LAP+ macrophages in patients with endometriosis or controls (Table 2). We found that the proportion of LAP+ macrophages in the PF was significantly lower in patients with endometriosis (median: 6.2%) than in controls (median: 21.2%, P < 0.01), as shown in Fig. 3. There were no significant differences in the proportion of LAP+ monocytes in the PB of patients with endometriosis and controls (median: 89.4% and 89.2%, respectively; P = 0.86). Significant differences were also observed in comparisons based on the menstrual cycle stage (Table 3). Comparison of LAP+ macrophages in the PF with severity of endometriosis (rASRM stage I and II vs. III and IV) showed no significant difference between the two groups [median 31.1% (stage I and II) and 13.7% (stage III and IV), P = 0.23].
Fig. 3
Fig. 3

CD11b+LAP+ cells in peripheral blood and peritoneal fluid of patients with endometriosis and controls. Endometriosis, EN (n = 28); control, CN (n = 20). Horizontal bars represent medians. Columns and vertical bars indicate the 25th–75th percentiles and 10th–90th percentiles, respectively. Differences between groups were analyzed by Mann-Whitney U-tests

Evaluation of TGF-β concentration in the PF

The concentration of TGF-β in the PF was significantly increased in patients with endometriosis (median 1.08 ng/mL) compared with that in the controls (median 0.75 ng/mL, P < 0.01, as shown in Additional file 1: Figure S1).

Discussion

In the present study, we demonstrated that frequencies of rTregs and eTregs in the PF were higher in patients with endometriosis than in controls, but this pattern was not observed in the PB. In Papio anubis, induction of endometriosis alters the peripheral and endometrial populations of Tregs [17], whereas in humans, several studies have shown that Tregs are present in eutopic and ectopic endometrial tissues [18, 19] and that FOXP3 mRNA levels are elevated in human endometriotic lesions [20]. These findings and our results together suggest that in humans, elevations in rTregs and eTregs in patients with endometriosis are not systemic but are locally induced in the peritoneal cavity. In contrast, in a recent report, there were no significant differences in Treg subpopulations in the PF of individuals with or without endometriosis [21]. The discrepancy in this result from ours may be caused by the different methods used to analyze Treg subpopulations: in this previous study, specimens were stored at − 80 °C before analysis by flow cytometry, and all specimens were obtained from patients with severe endometriosis. It has been reported that cryopreservation and thawing of specimens alter the phenotype and function of Tregs [22, 23].

Our results also demonstrated low LAP expression on the surfaces of macrophages in the PF of patients with endometriosis. Macrophage numbers are increased in the peritoneal cavities of women with endometriosis [24, 25]; therefore, the present study focused on macrophages in the PF. Disruption of the noncovalent interactions between LAP and TGF-β by either conformational changes or the complete dissociation of LAP can be induced under extreme conditions, e.g. extreme pH, heat, or the presence of serine protease plasmin, thrombospondin-1, reactive oxygen species, or integrin αγβ6 [2628]. Active TGF-β can be released following this disruption, limiting tissue repair and promoting the development of tissue fibrosis [2931]. Elevated concentrations of TGF-β in the PF of patients with endometriosis have been repeatedly reported [13, 32], and this result was further confirmed in our study (Additional file 1: Figure S1). Our results suggest that activated TGF-β released from the latent complex on macrophage surfaces may act to decrease LAP expression and increase the concentration of TGF-β in the PF of patients with endometriosis.

The overexpression of TGF-β has been implicated in fibrotic diseases of the kidney, liver, lung, skin, and other organs, and trapping TGF-β by increasing the expression of LAP in organ-specific cells leads to the suppression of fibrosis in the skin, hepatic tissue, and renal tissue [29, 33, 34]. Thus, higher levels of TGF-β may account for the peritoneal tissue fibrosis found in patients with endometriosis and are related to the severity of endometriosis [35]. In 2015, the results of a phase II clinical trial of fresolimumab, a neutralizing antibody against TGF-β1, β2, and β3, for skin sclerosis were reported. Fresolimumab treatment did not change the thickness of the dermis, but decreased the number of myofibroblasts [36]. Clinical studies using molecular targeted drugs for treatment of endometriosis have not yet been conducted, but monoclonal antibodies against TGF-β and LAP may be a promising approach for control of the disease.

As this is a cross-sectional study, it is difficult to determine whether the changes in TGF-β, LAP+ macrophages and suppressive Tregs are the cause or result of endometriosis; moreover, the trigger for LAP release also remains unknown. Though our data suggest a potential source of activated TGF-β, namely the reduced LAP expression on the surfaces of macrophages, TGF-β is produced by several types of cells including immune cells [37], and it has been reported that the peritoneum is a source of TGF-β in patients with endometriosis [38]. Additionally, as rASRM classification is based on macroscopic findings, potential endometriosis patients might be included in the control group, resulting in some data overlap between the groups. Regarding the limitation of the laboratory method, it is difficult to completely eliminate leucocytes from the PF derived from the PB due to contamination during operation. Furthermore, the participants of this study may include patients with dysmenorrhea symptoms such as pelvic pain and excessive menstruation, and infertility. There are some reports that endometriosis is related to infertility, pain, socioeconomic condition, stress, nickel allergy, vitamin D intake [3942], and these potential confounding factors cannot be excluded completely with only the variabilities that we adjusted. However, owing to the small sample size of this study, it was difficult to adjust for all of these factors. We believe that such studies could clarify the pathophysiology of endometriosis and establish new treatment modalities.

Conclusions

Our results revealed increases in the proportions of rTregs and eTregs in the PF of women with endometriosis, as well as reduced expression of LAP on macrophages, resulting in the release of activated TGF-β. These observations may be associated with suppressed immune responses, which may initiate and promote endometriosis in the pelvic cavity. Further studies on the relevance of Tregs and LAP-TGF-β are needed, and elucidation of this cascade may lead to the establishment of effective approaches for the control of endometriosis.

Abbreviations

eTregs: 

CD45RAFoxP3high effector Tregs

LAP: 

Latency-associated peptide

MNCs: 

Mononuclear cells

non-Tregs: 

CD45RAFoxP3low non-Tregs

PB: 

Peripheral blood

PBMCs: 

Peripheral blood mononuclear cells

PF: 

Peritoneal fluid

rTregs: 

CD45RA+FoxP3low resting Tregs

TGF-β: 

Transforming growth factor-β

Tregs: 

Regulatory T cells

Declarations

Acknowledgements

We would like to thank Mr. Mori and Mr. Yamamoto (Central Research Laboratory, Shiga University of Medical Science) for their technical support in the flow cytometry analysis.

Funding

None to declare.

Availability of data and materials

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.

Authors’ contributions

TH and ST were involved in study design, clinical material collection, material preparation and flow cytometry measurements, data collection, analysis and interpretation, manuscript drafting, and critical discussion. MN was involved in analysis and interpretation. SW, KK, and FK were involved in data interpretation. TMo, KO, and TMu were involved in study conception and design, data analysis, drafting the article, and its final edition. All authors read and approved the final manuscript.

Ethics approval and consent to participate

This study was approved by the Ethics Committee of Shiga University of Medical Science, Shiga, Japan (approval number: 26–217), and written informed consent was obtained from all participants.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

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Authors’ Affiliations

(1)
Department of Obstetrics and Gynecology, Shiga University of Medical Science, Seta Tsukionowa-cho, Otsu Shiga, 520-2192, Japan
(2)
Department of Pathology, Division of Pathology and Disease Regulation, Shiga University of Medical Science, Seta Tsukionowa-cho, Otsu Shiga, 520-2192, Japan
(3)
Academia for Repro-Regenerative Medicine, Nonprofit Organization, 394-1 Higashi-Hinodono-cho, Ichijo-Shinmachi-Higashiiru, Kamigyo-ku, Kyoto 602-0917, Japan

References

  1. Giudice LC. Clinical practice. Endometriosis. N Engl J Med. 2010;362:2389–98.View ArticlePubMedPubMed CentralGoogle Scholar
  2. Sakaguchi S, Yamaguchi T, Nomura T, Ono M. Regulatory T cells and immune tolerance. Cell. 2008;133:775–87.View ArticlePubMedGoogle Scholar
  3. Curiel TJ, Coukos G, Zou L, Alvarez X, Cheng P, Mottram P, et al. Specific recruitment of regulatory T cells in ovarian carcinoma fosters immune privilege and predicts reduced survival. Nat Med. 2004;10:942–9.View ArticlePubMedGoogle Scholar
  4. Ehrenstein MR, Evans JG, Singh A, Moore S, Warnes G, Isenberg DA, et al. Compromised function of regulatory T cells in rheumatoid arthritis and reversal by anti-TNFalpha therapy. J Exp Med. 2004;200:277–85.View ArticlePubMedPubMed CentralGoogle Scholar
  5. Miyara M, Amoura Z, Parizot C, Badoual C, Dorgham K, Trad S, et al. Global natural regulatory T cell depletion in active systemic lupus erythematosus. J Immunol. 2005;175:8392–400.View ArticlePubMedGoogle Scholar
  6. Miyara M, Sakaguchi S. Human FoxP3(+)CD4(+) regulatory T cells: their knowns and unknowns. Immunol Cell Biol. 2011;89:346–51.View ArticlePubMedGoogle Scholar
  7. 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.View ArticlePubMedGoogle Scholar
  8. Gogacz M, Winkler I, Bojarska-Junak A, Tabarkiewicz J, Semczuk A, Rechberger T, et al. T regulatory lymphocytes in patients with endometriosis. Mol Med Rep. 2014;10:1072–6.View ArticlePubMedGoogle Scholar
  9. Olkowska-Truchanowicz J, Bocian K, Maksym RB, Bialoszewska A, Wlodarczyk D, Baranowski W, et al. CD4(+) CD25(+) FOXP3(+) regulatory T cells in peripheral blood and peritoneal fluid of patients with endometriosis. Hum Reprod. 2013;28:119–24.View ArticlePubMedGoogle Scholar
  10. Takamura M, Koga K, Izumi G, Hirata T, Harada M, Hirota Y, et al. Simultaneous detection and evaluation of four subsets of CD4+ T lymphocyte in lesions and peripheral blood in endometriosis. Am J Reprod Immunol. 2015;74:480–6.View ArticlePubMedGoogle Scholar
  11. Yoshimura A, Wakabayashi Y, Mori T. Cellular and molecular basis for the regulation of inflammation by TGF-beta. J Biochem. 2010;147:781–92.View ArticlePubMedPubMed CentralGoogle Scholar
  12. Annes JP, Munger JS, Rifkin DB. Making sense of latent TGFbeta activation. J Cell Sci. 2003;116:217–24.View ArticlePubMedGoogle Scholar
  13. Harada T, Iwabe T, Terakawa N. Role of cytokines in endometriosis. Fertil Steril. 2001;76:1–10.View ArticlePubMedGoogle Scholar
  14. Ho HN, Wu MY, Yang YS. Peritoneal cellular immunity and endometriosis. Am J Reprod Immunol. 1997;38:400–12.View ArticlePubMedGoogle Scholar
  15. Dmowski WP, Steele RW, Baker GF. Deficient cellular immunity in endometriosis. Am J Obstet Gynecol. 1981;141:377–83.View ArticlePubMedGoogle Scholar
  16. American Society for Reproductive Medicine. Revised American Society for Reproductive Medicine classification of endometriosis: 1996. Fertil Steril. 1997;67:817–21.View ArticleGoogle Scholar
  17. Braundmeier A, Jackson K, Hastings J, Koehler J, Nowak R, Fazleabas A. Induction of endometriosis alters the peripheral and endometrial regulatory T cell population in the non-human primate. Hum Reprod. 2012;27:1712–22.View ArticlePubMedPubMed CentralGoogle Scholar
  18. Berbic M, Hey-Cunningham AJ, Ng C, Tokushige N, Ganewatta S, Markham R, et al. The role of Foxp3+ regulatory T-cells in endometriosis: a potential controlling mechanism for a complex, chronic immunological condition. Hum Reprod. 2010;25:900–7.View ArticlePubMedGoogle Scholar
  19. Wan YY, Flavell RA. TGF-beta and regulatory T cell in immunity and autoimmunity. J Clin Immunol. 2008;28:647–59.View ArticlePubMedPubMed CentralGoogle Scholar
  20. Budiu RA, Diaconu I, Chrissluis R, Dricu A, Edwards RP, Vlad AM. A conditional mouse model for human MUC1-positive endometriosis shows the presence of anti-MUC1 antibodies and Foxp3+ regulatory T cells. Dis Model Mech. 2009;2:593–603.View ArticlePubMedGoogle Scholar
  21. Tanaka Y, Mori T, Ito F, Koshiba A, Takaoka O, Kataoka H, et al. Exacerbation of endometriosis due to regulatory T cell dysfunction. J Clin Endocrinol Metab. 2017;102:3206–17.View ArticlePubMedGoogle Scholar
  22. Florek M, Schneidawind D, Pierini A, Baker J, Armstrong R, Pan Y, et al. Freeze and thaw of CD4+CD25+Foxp3+ regulatory T cells results in loss of CD62L expression and a reduced capacity to protect against graft-versus-host disease. PLoS One. 2015;10:e0145763.View ArticlePubMedPubMed CentralGoogle Scholar
  23. Weiner J, Duran-Struuck R, Zitsman J, Buhler L, Sondermeijer H, McMurchy AN, et al. Restimulation after cryopreservation and thawing preserves the phenotype and function of expanded baboon regulatory T cells. Transplant Direct. 2015;1:1–7.View ArticlePubMedGoogle Scholar
  24. Dmowski WP. Immunological aspects of endometriosis. Int J Gynaecol Obstet. 1995;50(Suppl 1):S3–S10.View ArticlePubMedGoogle Scholar
  25. Oral E, Arici A. Pathogenesis of endometriosis. Obstet Gynecol Clin N Am. 1997;24:219–33.View ArticleGoogle Scholar
  26. Oklu R, Hesketh R. The latent transforming growth factor beta binding protein (LTBP) family. Biochem J. 2000;352(Pt 3):601–10.View ArticlePubMedPubMed CentralGoogle Scholar
  27. Munger JS, Harpel JG, Gleizes PE, Mazzieri R, Nunes I, Rifkin DB. Latent transforming growth factor-beta: structural features and mechanisms of activation. Kidney Int. 1997;51:1376–82.View ArticlePubMedGoogle Scholar
  28. Todorovic V, Jurukovski V, Chen Y, Fontana L, Dabovic B, Rifkin DB. Latent TGF-beta binding proteins. Int J Biochem Cell Biol. 2005;37:38–41.View ArticlePubMedGoogle Scholar
  29. Border WA, Noble NA. Transforming growth factor beta in tissue fibrosis. N Engl J Med. 1994;331:1286–92.View ArticlePubMedGoogle Scholar
  30. De Crescenzo G, Grothe S, Zwaagstra J, Tsang M, O’Connor-McCourt MD. Real-time monitoring of the interactions of transforming growth factor-beta (TGF-beta) isoforms with latency-associated protein and the ectodomains of the TGF-beta type II and III receptors reveals different kinetic models and stoichiometries of binding. J Biol Chem. 2001;276:29632–43.View ArticlePubMedGoogle Scholar
  31. Walton KL, Makanji Y, Chen J, Wilce MC, Chan KL, Robertson DM, et al. Two distinct regions of latency-associated peptide coordinate stability of the latent transforming growth factor-beta1 complex. J Biol Chem. 2010;285:17029–37.View ArticlePubMedPubMed CentralGoogle Scholar
  32. Oosterlynck DJ, Meuleman C, Waer M, Koninckx PR. Transforming growth factor-beta activity is increased in peritoneal fluid from women with endometriosis. Obstet Gynecol. 1994;83:287–92.PubMedGoogle Scholar
  33. Dooley S, Delvoux B, Lahme B, Mangasser-Stephan K, Gressner AM. Modulation of transforming growth factor beta response and signaling during transdifferentiation of rat hepatic stellate cells to myofibroblasts. Hepatology. 2000;31:1094–106.View ArticlePubMedGoogle Scholar
  34. Zhang Y, McCormick LL, Gilliam AC. Latency-associated peptide prevents skin fibrosis in murine sclerodermatous graft-versus-host disease, a model for human scleroderma. J Invest Dermatol. 2003;121:713–9.View ArticlePubMedGoogle Scholar
  35. Pizzo A, Salmeri FM, Ardita FV, Sofo V, Tripepi M, Marsico S. Behaviour of cytokine levels in serum and peritoneal fluid of women with endometriosis. Gynecol Obstet Investig. 2002;54:82–7.View ArticleGoogle Scholar
  36. Rice LM, Padilla CM, McLaughlin SR, Mathes A, Ziemek J, Goummih S, et al. Fresolimumab treatment decreases biomarkers and improves clinical symptoms in systemic sclerosis patients. J Clin Invest. 2015;125:2795–807.View ArticlePubMedPubMed CentralGoogle Scholar
  37. Lawrence DA. Transforming Growth factor-beta: a general review. Eur Cytokine Netw. 1996;7:363–74.PubMedGoogle Scholar
  38. Young VJ, Brown JK, Saunders PT, Duncan WC, Horne AW. The peritoneum is both a source and target of TGF-beta in women with endometriosis. PLoS One. 2014;9:e106773.View ArticlePubMedPubMed CentralGoogle Scholar
  39. Mangtani P, Booth M. Epidemiology of endometriosis. J Epidemiol Community Health. 1993;47:84–8.View ArticlePubMedPubMed CentralGoogle Scholar
  40. Syegh L, Fuleihan Gel-H, Nassar AH. Vitamine D in endometriosis: a causative or confounder factor? Metabolism. 2014;63:32–41.View ArticleGoogle Scholar
  41. Cuevas M, Cruz ML, Ramirez AE, Flores I, Thompson KJ, Bayona M, et al. Stress during development of experimental endometriosis influence nerve growth and disease progression. Reprod Sci. 2017;1933719117737846 (Epub).Google Scholar
  42. Yuk JS, Shin JS, Shin JY, Oh E, Kim H, Park WI. Nickel allergy is a risk factor for endometriosis: an 11-year population-based nested case-control study. PLoS One. 2015;10:e0139388.View ArticlePubMedPubMed CentralGoogle Scholar

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