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ORIGINAL RESEARCH article

Front. Immunol., 01 June 2015
Sec. Cancer Immunity and Immunotherapy
This article is part of the Research Topic The two faces of a Killer View all 8 articles

First Trimester Pregnancy Loss and the Expression of Alternatively Spliced NKp30 Isoforms in Maternal Blood and Placental Tissue

\r\n      Avishai Shemesh,&#x;Avishai Shemesh1,2† \r\n      Dan Tirosh&#x;Dan Tirosh3† \r\n      Eyal SheinerEyal Sheiner3 \r\n      Neta Benshalom-TiroshNeta Benshalom-Tirosh3 \r\n      Michael BrusilovskyMichael Brusilovsky1 \r\n      Rotem SegevRotem Segev1 \r\n      Benyamin RosentalBenyamin Rosental4Angel Porgador,*Angel Porgador1,3*
  • 1The Shraga Segal Department of Microbiology, Immunology and Genetics, Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer Sheva, Israel
  • 2National Institute for Biotechnology in the Negev, Ben-Gurion University of the Negev, Beer Sheva, Israel
  • 3Department of Obstetrics and Gynecology, Faculty of Health Sciences, Soroka University Medical Center, Ben-Gurion University of the Negev, Beer Sheva, Israel
  • 4Institute for Stem Cell Biology and Regenerative Medicine, Hopkins Marine Station, Stanford University School of Medicine, Stanford, CA, USA

Capsule: We observed that first trimester pregnancy loss is associated with an altered expression profile of the three isoforms of the NK receptor NKp30 expressed by NKs in PBMC and placental tissue.

In this study, we aimed to investigate whether first trimester pregnancy loss is associated with differences in expression of NKp30 splice variants (isoforms) in maternal peripheral blood or placental tissue. We conducted a prospective case–control study; a total of 33 women undergoing dilation and curettage due to first trimester pregnancy loss were further subdivided into groups with sporadic or recurrent pregnancy loss. The control group comprises women undergoing elective termination of pregnancy. The qPCR approach was employed to assess the relative expression of NKp30 isoforms as well as the total expression of NKp30 and NKp46 receptors between the selected groups. Results show that in both PBMC and placental tissue, NKp46 and NKp30 expressions were mildly elevated in the pregnancy loss groups compared with the elective group. In particular, NKp46 elevation was significant. Moreover, expression analysis of NKp30 isoforms manifested a different profile between PBMC and the placenta. NKp30-a and NKp30-b isoforms in the placental tissue, but not in PBMC, showed a significant increase in the pregnancy loss groups compared with the elective group. Placental expression of NKp30 activating isoforms-a and -b in the pregnancy loss groups was negatively correlated with PLGF expression. By contrast, placental expression of these isoforms in the elective group was positively correlated with TNFα, IL-10, and VEGF-A expression. The altered expression of NKp30 activating isoforms in placental tissue from patients with pregnancy loss compared to the elective group and the different correlations with cytokine expression point to the involvement of NKp30-mediated function in pregnancy loss.

Introduction

Miscarriage, defined as the spontaneous loss of a fetus up to 20 weeks of gestation, is the most common complication of pregnancy. The prevalence of miscarriage is around 15% in clinically proven pregnancies, and up to 30% in “chemical pregnancies” (14). Recurrent pregnancy loss (RPL) is a term classically used in cases of three or more spontaneous miscarriages, with a prevalence of 1% of couples attempting to conceive. In recent years, the term was redefined to include two or more miscarriages, resulting in a prevalence of 3–5% of these couples (57). This change in definition is due to evidence showing that the risk of recurrence after two pregnancy losses is around 30%, similar to the risk of recurrence after three or more pregnancy losses (1, 3, 8, 9). Different etiologies have been suggested for miscarriages, including anatomic, genetic, endocrine, and immune disorders, as well as various infections and environmental factors. Workup studies aimed at detecting these etiologies are carried out after two or three pregnancy losses (especially in older, nulliparous women). Only in about 50% of these cases is an etiology recognized; the other cases are either of unknown etiology or thought to result from a combination of several etiologies (1012).

NKp30 is a 30-kDa triggering receptor expressed on resting and activated natural killer (NK) cells (13). This receptor belongs to a family known as natural cytotoxicity receptors (NCRs) that include NKp46 and NKp44 (14). El Costa et al. showed that NKp30 and NKp46 on decidual NK (dNK) cells have a differential role in the early stage of pregnancy (15). Activation of NKp30 on dNK by mAb specific engagement triggers the synthesis and secretion of various cytokines. Moreover, it was shown that adherent decidual cells are recognized by NKp30–hFc fusion (16, 17).

Recently, it was shown that the human NKp30-encoding gene (NCR3) is transcribed in six different splice variants, among which the most highly expressed are NKp30-a, NKp30-b, and NKp30-c (18). Zitvogel et al. have previously published that the status and ratio of these isoforms predict the clinical outcome of patients with gastrointestinal stromal tumor (GIST). Preferential expression of the immunosuppressive NKp30-c isoform was associated with poor prognosis in these patients (19). In an additional study, the same group investigated NKp30-a and NKp30-c isoform ratios in untreated HIV-1-infected patients (18).

The reported function of NKp30 in pregnancy and pregnancy disorders and the differential expression of NKp30 activating and suppressive isoforms in cancer and HIV motivated the current study. We compared (i) patients with RPLs (>2 spontaneous miscarriages), (ii) patients with sporadic pregnancy loss (≤2 spontaneous miscarriages), and (iii) patients undergoing elective termination of pregnancy (TOP) in the first trimester due to medical or social considerations or fetal malformations as a control group. The aims of this prospective case–control study were to investigate whether first trimester pregnancy losses are associated with (A) differences in mRNA expression of the expression profile of NKp30 isoforms, as well as the total NKp30 and NKp46 expression in maternal blood and placental tissue; and (B) the correlation of NKp30, NKp46, and isoform expression with early pregnancy-related cytokines.

Materials and Methods

Study Design and Population

A single center prospective case–control study was conducted in the Department of Obstetrics and Gynecology at the Soroka University Medical Center, Beer Sheva, Israel in collaboration with the Clinical Biochemistry Laboratory at Ben-Gurion University. The study was approved by the ethical institutional review board (in accordance with the Helsinki declaration, Approval number: 0267-12-SOR).

The study population comprises women who presented to the Soroka Medical Center for dilation and curettage (D&C) during the first trimester of pregnancy (<14 weeks of gestation), who consented to participate in the study. The combined study group comprises women undergoing D&C due to first trimester pregnancy loss, who were subdivided into groups with sporadic or RPL (>2 previous spontaneous miscarriages). The control group comprises women undergoing elective TOP. Women with known uterine anomalies, multiple gestations, and women undergoing elective curettage who had a history of ≥2 spontaneous pregnancy loss were excluded from the study. The PBMC samples were elective n = 10, sporadic n = 16, recurrent n = 7, and Sp + Re n = 23, and the placental tissue samples were elective n = 7, sporadic n = 16, recurrent n = 7, and Sp + Re n = 23.

Blood Samples, PBMC Isolation, and Placental Tissue Samples

Collection of blood samples was performed using a BD Vacutainer® CPT™ Cell Preparation Tube with sodium heparin (REF 362753). PBMC samples were isolated according to the manufacturer’s instructions. Placental tissue samples were collected from the retrieved specimen, just after curettage, and placed in sterile ice-cold 1× PBS until RNA extraction was performed.

RNA Extraction and Reverse Transcription PCR

Total RNA was extracted from fresh placenta tissue and isolated PBMC using the RNeasy® Mini Kit (cat# 74104, Qiagen Ltd.) according to the manufacturer’s instructions and was stored at −80°C until further use. RNA concentration and purity were assessed by NanoDrop (ND1000 v3.7.1; NanoDrop Technologies, DE, USA). Reverse transcription PCR (RT-PCR) was performed using a High Capacity cDNA Reverse Transcription Kit (cat# 4368814, Applied Biosystems). cDNA synthesis was performed according to the manufacturer’s instructions using 1 μg of total RNA and was performed for all of the samples at the same time. cDNA samples were stored at −20°C until further use.

Real Time PCR and Primer Set Efficiencies

qPCR analysis was performed to determine and compare the expression of target genes using the Power SYBR® Green PCR Master Mix (cat# 4367659, Applied Biosystems). Twenty microliters of reactions were set-up in duplicate for each sample according to the manufacturer’s instructions. Each reaction contained 30 ng of cDNA. qPCR experiments were performed using the Applied Biosystems 7500 Real Time PCR system, software v2.0.5. Reaction cycling protocol was 95°C for 10 min, then 40 cycles with a 2-step program (95°C for 15s, 60°C for 1 min). Collection of data was performed during the annealing step. Expression levels of NKp46, NKp30, NKp30-a, NKp30-b, NKp30-c, IFNγ, TNFα, IL-10, PLGF, and VEGF (target genes) were normalized to β-actin (reference gene). For each gene, all samples per tissue (blood or placenta) were checked in the same plate. Plate normalization was performed by checking the β-actin of two fixed samples in each plate and adjusting Ct values accordingly. Calculation of gene expression was performed using the 2−ΔCt = 2−(Target gene Ct) − (Reference gene Ct) method. Ratio analysis of NKp30 isoforms was calculated using the NKp30x/NKp30y = 2(ΔΔCt NKp30y−ΔΔCt NKp30x) formula, as previously described (18). Primer efficiencies were tested on cDNA pools, obtained by taking 30 ng from each cDNA sample, originated from PBMC or placental tissue samples (cDNA pools were serial diluted five times (1:10 dilutions) and were used as templates).

NKp46: Fw primer: 5′-GTGACCACAGCCCACCGAG-′3, Rev-primer: 5′-CTCAATGTCGCCTGTGACCAG-′3, (eff%: PBMC: 103.787%, Placenta: 104.432%), NKp30: Fw primer: 5′-CATGGTCCATCCAGGATCC-′3, Rev primer: 5′-GTTCCATTCCTCACCTCCTTC-′3, (eff%:PBMC: 99.125%, Placenta: 100.205%), NKp30-a: Fw primer: 5′-GGTGGTGGAGAAAGAACATC-′3, Rev primer: 5′-CTTTCCAGGTCAGACATTTGC-′3, (eff%: PBMC: 102.924%, Placenta: 98.568%), NKp30-b: Fw primer: 5′-GGTGGTGGAGAAAGAACATC-′3, Rev primer: 5′-GAGAGTAGATTTGGCATATTTGC-′3, (eff%:PBMC: 99.486%, Placenta: 98.387%), NKp30-c: Fw primer: 5′-GGTGGTGGAGAAAGAACATC-′3, Rev primer: 5′-CATGTGACAGTGGCATTTGC-′3, (eff%:PBMC: 98.145%, Placenta: 101.560%), β-actin: Fw primer: 5′-GCATTGTTACCAACTGGGAC-′3, Rev primer: 5′-GGTCTCAAACATGATCTGGG-′3, (eff%:PBMC: 99.865%, Placenta: 103.251%), IFNγ: Fw primer: 5′-GCCAGGACCCATATGTAAAAGA-′3, Rev Primer: 5′-TTCTGTCACTCTCCTCTTTCCAA-′3, (eff%:PBMC: 99.953 5%, Placenta: 100.271%), TNFα: Fw primer: 5′-GACAAGCCTGTAGCCCATGT-′3, Rev Primer: 5′-TTATCTCTCAGCTCCACGCC-′3, (eff%:PBMC: 101.426 5%, Placenta: 100.384%), IL-10: Fw primer: 5′-TGCTGGAGGACTTTAAGGGTTA-′3, Rev Primer: 5′-ACAGGGAAGAAATCGATGACAG-′3, (eff%:PBMC: 97.45%, Placenta: 100.899%), PLGF: Fw primer: 5′-GATGAGCATGGTGGTTTTCC-′3, Rev Primer: 5′-AGACACAGGATGGGCTGAAC-′3, (eff%:PBMC: 101.981 5%, Placenta: 100.384%), VEGF-A: Fw primer: 5′-GCAGAATCATCACGAAGTGGT-′3, Rev Primer: 5′-ATCAGGGTACTCCTGGAAGATGT-′3, (eff%:PBMC: 98.751 5%, Placenta: 99.1%). Target and reference human gene sequences were taken from the National Center for Biotechnology Information (NCBI, www.ncbi.nlm.nih.gov).

Statistical Analysis

Graphics and statistical analysis were performed using GraphPad/Prism5 software. Statistical significance was tested using the two-tailed Mann–Whitney test. Correlation was tested using Spearman’s rank correlation coefficient. p < 0.05 was considered statistically significant.

Results

Thirty-three women consented to participate in the study. These included 16 patients with sporadic pregnancy loss (“sporadic” group), 7 patients with recurrent (>2) pregnancy loss (“recurrent” group), and 10 patients with elective TOP (“control” group). Demographic and clinical characteristics of the three groups are summarized in Table 1. No significant differences were noted between the groups regarding maternal age or gestational age at performance of the D&C. In the control cases, three placental tissue samples were excluded from the analyses because of insufficient RNA yield or purity.

TABLE 1
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Table 1. Women’s clinical histories.

NKp46 Expression, but Not NKp30 is Significantly Enhanced in Pregnancy Loss PBMC

We first evaluated the expression of NKp30 and NKp46 in PBMC, as these receptors are known to be highly expressed on peripheral blood NK cells. NKp46 expression was significantly enhanced in the sporadic group compared to the control group (p = 0.0425, Figure 1A). NKp46 expression was also elevated in PBMC from the recurrent group compared with the control group, yet the results did not reach statistical significance. When we compared both recurrent and sporadic pregnancy loss cases as a combined group to the control group, NKp46 expression was significantly higher (p = 0.049, Figure 1A). NKp30 expression in PBMC samples showed the same trend in the sporadic and recurrent groups compared to the control group, yet the differences were not statistically significant (Figure 1B). We then compared NKp46 and NKp30 expression in placental tissue samples. In accordance with PBMC results, NKp46 and NKp30 expressions were enhanced in the sporadic and recurrent groups as compared to the control group, as well as for the combined group of sporadic and RPL; however, only for the combined sporadic and recurrent groups were NKp46 elevation statistically significant relative to the control group. (Figures 1C,D). Note that 10/33 individual samples are marked with colored-filled symbols instead of black-filled symbols for following their analysis throughout all relevant figures. These 10 samples were chosen based on their high expression of one NKp30 isoform (Figure 2).

FIGURE 1
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Figure 1. NKp46 expression but not NKp30 is enhanced in pregnancy loss PBMC. NKp46 and NKp30 expression analysis in PBMC and placental tissue of patients undergoing elective, sporadic, or recurrent pregnancy loss. The dot plot represents data of each patient (dotted) in each group. Bars = group mean ± SD (A) NKp46 mRNA (PBMC). (B) NKp30 mRNA (PBMC). (C) NKp46 mRNA (Placenta). (D) NKp30 mRNA (Placenta). Statistics: Mann–Whitney test, two-tailed (*p < 0.05). Ten out of the 33 individual samples are marked with colored-filled symbols (●, ■, ▲, ▼) instead of black-filled symbols for following their analysis throughout all relevant figures.

FIGURE 2
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Figure 2. NKp30-a and NKp30-b expression in the placental tissue is significantly elevated in sporadic and recurrent pregnancy loss. mRNA expression analysis of NKp30 isoforms in PBMC and placenta tissue samples of patients undergoing elective, sporadic, or recurrent pregnancy loss. The dot plot represents data of each patient (dotted) in each group. Bars = group mean ± SD (A.1) NKp30-a mRNA (PBMC), (A.2) NKp30-a mRNA (Placenta), (B.1) NKp30-b mRNA (PBMC), (B.2) NKp30-b mRNA (Placenta), (C.1) NKp30-c mRNA (PBMC), (C.2) NKp30-c mRNA (Placenta), in color (demonstrated in PBMC) are individuals with a high NKp30-c profile, relative to other low NKp30-c profile samples. The NKp30-c profile in placenta tissue of the same individuals is also shown. Statistics: Mann–Whitney test, two-tailed (*p < 0.05). Ten out of the 33 individual samples are marked with colored-filled symbols (●, ■, ▲, ▼) instead of black-filled symbols for following their analysis throughout all relevant figures.

NKp30-a and NKp30-b Expression in the Placental Tissue is Significantly Elevated in Sporadic and Recurrent Pregnancy Loss

NKp30 mRNA can be transcribed as three major splice variants: NKp30-a, NKp30-b, and NKp30-c (19). Although NKp30 expression did not statistically differ among pregnancy abortion groups in PBMC and placental tissue samples, we focused on the expression of NKp30-a, NKp30-b, and NKp30-c isoforms, as different NKp30 isoform profiles can lead to diverse functions of NK cells.

In accordance with total NKp30 expression, the group expression of NKp30-a and NKp30-b in PBMC was higher in the sporadic and recurrent groups compared with the control group, but this difference was not statistically significant (Figures 2A.1, B.1). The NKp30-c mean group expression in the PBMC samples was significantly elevated, which can be explained by NKp30-c profile individuals (Figure 2C.1, colored dots). In contrast to the PBMC samples, NKp30 isoform expression in the placental tissue showed a different trend. NKp30-a and NKp30-b expression was significantly elevated in the sporadic group. In the recurrent group, NKp30-a elevation was close to statistically significant, while NKp30-b elevation was statistically significant (Figures 2A.2, B.2). However, NKp30-c expression did not show any statistically significant differences among pregnancy abortion groups (Figure 2C.2, colored dots).

NKp30 Isoform Ratio is Different between PBMC and Placenta Tissue in Sporadic and Recurrent Pregnancy Loss

Zitvogel et al. have shown that the ratio between NKp30 isoforms can predict the clinical outcome of patients with GISTs (19). We thus studied whether a NKp30 isoform ratio could also be employed as a marker for first trimester pregnancy loss. The NKp30 isoform ratio in PBMC samples did not significantly differ between the selected groups (Figures 3A.1, B.1, C.1). The only significant change was observed in the NKp30-a/NKp30-b ratio, which was elevated in the placenta samples obtained from sporadic abortions, indicating an increase in NKp30-a relative to NKp30-b (Figures 3A.2, B.2, C.2). As we previously observed, NKp30-c profile differed in a tissue-specific manner. We then compared NKp30 isoform ratios in PBMC to placenta tissue in each pregnancy abortion group. The NKp30 isoform ratio in the elective control group did not significantly differ between PBMC and corresponding placental tissue (Figures 3A.3, B.3, C.3). In the sporadic group, NKp30-a/NKp30-b and NKp30-a/NKp30-c, but not NKp30-b/NKp30-c, ratios were significantly elevated in the placenta tissue compared to corresponding PBMC samples, indicating an increase in NKp30-a relative to NKp30-b and NKp30-c (Figures 3A.4, B.4, C.4). The same trend was seen in the recurrent group, as NKp30-a/NKp30-c was significantly elevated in the placental tissue compared to corresponding PBMC (Figures 3A.5, B.5, C.5). This data points to a tissue-specific up-regulation of NKp30-a relative to NKp30-b and NKp30-c in the placenta during first trimester pregnancy loss.

FIGURE 3
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Figure 3. NKp30 isoforms ratio is different between PBMC and placenta tissue in sporadic and recurrent pregnancy loss. Ratio analysis of NKp30 isoforms per sample (median bars = median values, whiskers: Min to Max). Comparison between groups: elective, sporadic, and recurrent pregnancy loss in (1) PBMC and (2) placenta. Comparison between samples: PBMC and placenta in (3) elective, (4) sporadic, and (5) recurrent pregnancy loss. (A.1–5) NKp30-a/NKp30-b ratio. (B.1–5) NKp30-a/NKp30-c ratio. (C.1–5) NKp30-b/NKp30-c ratio. Statistics: Mann–Whitney test, two-tailed (*p < 0.05).

Placental Expression of NKp30-a and NKp30-b is Negatively Correlated with Placental PLGF Expression in Sporadic and Recurrent Pregnancy Loss

El Costa et al. and Hanna et al. previously showed that NKp30 engagement promote cytokine synthesis and secretion, among them IFNγ, TNFα, IL-10, PLGF, and VEGF-A, by dNK in the placental tissue (15, 16). Expression of selected cytokines did not show any significant difference among the groups in PBMC samples with the exception of TNFα, which was decreased in the sporadic group relative to the control group (Figures 4A.1, B.1, C.1, D.1, E.1). When comparing the pregnancy abortions groups in placental tissue, IFNγ, TNFα, IL-10, but not VEGF-A were significantly elevated in the sporadic but not in the recurrent group. PLGF expression was decreased in both the sporadic and recurrent abortion groups compared to the control group (Figures 4A.2, B.2, C.2, D.2, E.2). We then examined the correlation between NKp46 and NKp30, as well as NKp30 isoforms to early pregnancy-related cytokines (Figures 4F,G). Control group PBMC samples showed a positive correlation between NKp46 and IFNγ and a negative correlation between NKp46 and NKp30 to IL-10. This trend was lost in the sporadic and recurrent PBMC samples. Excluding that, a specific correlation pattern could not be seen in PBMC samples obtained from control, sporadic, and recurrent first trimester pregnancy loss cases.

FIGURE 4
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Figure 4. Placental expression of NKp30-a and NKp30-b is negatively correlated with placental PLGF expression in sporadic and recurrent pregnancy loss. IFNγ, TNFα, IL-10, PLGF, and VEGF-A mRNA expression analysis in (1) PBMC and (2) placenta tissue of patients undergoing elective, sporadic, or recurrent pregnancy loss. The dot plot represents data of each patient (dotted) in each group, Bars = group mean ± SD (A.1,2) IFNγ, (B.1,2) TNFα, (C.1,2) IL-10, (D.1,2) PLGF, and (E.1,2) VEGF-A. (F) Correlations in PBMC samples. (G) Correlations in placental tissue samples. Spearman’s rank correlation, (*p < 0.05). Ten out of the 33 individual samples are marked with colored-filled symbols (●, ■, ▲, ▼) instead of black-filled symbols for following their analysis throughout all relevant figures.

In contrast to PBMC, placenta tissue samples showed a specific correlation pattern. In the elective, control group, positive correlations were seen between NKp46 and NKp30 to IFNγ, TNFα, IL-10, and VEGF-A. NKp30-a and NKp30-b kept the same correlation pattern as NKp46 and NKp30, with the exception of the correlation to IFNγ that was lost. In the sporadic placenta tissue samples, this correlation pattern was lost. However, negative correlations between PLGF and NKp46, NKp30, NKp30-a, and NKp30-b were observed. This negative correlation of NKp30 activating isoforms to PLGF was repeated in the RPL placenta samples.

Discussion

First trimester pregnancy losses are a common complication of early pregnancy. Throughout human pregnancy, the genetically “foreign” semi-allogeneic fetus and placenta evade maternal immune responses (20). Successful pregnancy requires suppression of the mother’s immune system, enabling an immune-tolerant state. NK cells are thought to play an important role, serving as the predominant cell type in this process (21). NKp46 and NKp30 are primary activating receptors, expressed constitutively by NK cells, and their engagement can stimulate NK function (14). In the present study, we have examined in parallel the expression of NKp46 and NKp30 in both peripheral blood and placenta tissue (decidua) samples, comparing women with sporadic and recurrent spontaneous abortions to elective first trimester pregnancy terminations. Zhang et al. reported a significantly higher expression of NKp46, and a higher but not significant expression of NKp30, on CD56dimCD16+ dNK cells in women with spontaneous abortion compared with elective abortions (22). In accordance with the study by Zhang et al. in the present study, placenta NKp46 expression levels were significantly enhanced in pregnancy loss groups (combined) vs. the control elective group (Figure 1C), while placenta NKp30 expression levels were enhanced but not significantly (Figure 1D).

The report by Zhang et al. has discussed that the differences in NCR-expression correlate with a higher activity of dNK cells derived from spontaneous abortions. To better assess the NKp30 role in dNK activity in pregnancy loss, we have expanded NCR-expression studies to include NKp30 isoform expression, adding pioneer information in regard to this expression in our clinical set-up. NKp30 isoforms were reported to have opposite roles in NKp30 function, with NKp30-c bearing an inhibitory function compared to the activating functions of NKp30-a and NKp30-b (19). NKp30-a and NKp30-b were enhanced in the placenta samples of both sporadic and RPL compared to the control group (Figures 2A.2, B.2). This was unique to NKp30-a and NKp30-b in the placenta and was not observed in PBMC. Zitvogel et al. have previously published that an NKp30 isoform profile can be divided into NKp30-c or NKp30-a/b profile individuals (19). The expression of NKp30-c in the placenta did not differ significantly among the three groups. Nevertheless, in PBMC, NKp30-c mean group expression was significantly enhanced in the sporadic pregnancy loss vs. the control group (Figures 2C.1, C.2). This difference could be attributed to few patients bearing NKp30-c profile (high NKp30-c and low NKp30-a/b expression in PBMC). We marked 10 individuals expressing high levels of at least one isoform by specific coloring of their symbols (Figures 1, 2, and 4). As expected (18), patients bearing NKp30-c profile expressed low levels of the NKp30-a/b isoforms in PBMC; yet, not all placenta tissue samples corresponding to PBMC samples with NKp30-c profile showed the same profile (Figure 2, colored symbols). This phenomenon may point to a tissue-specific NKp30 isoforms profiles and will need to be addressed further.

We also investigated the NKp30 isoforms ratio profile, calculated per each patient, as a prognostic marker for the risk of abortion. We took this approach in accordance with the study by Zitvogel and colleagues regarding the prognosis of HIV patients (18). We concentrated on blood PBMC as surrogate tissue, but neither of the three mean NKp30 isoforms ratios (a/b, a/c, and b/c) was significantly different among the groups’ PBMC (Figures 3A.1, B.1, C.1). Analysis of the NKp30 isoforms ratios in placenta samples shows that the NKp30-a/NKp30-b ratio increased in the sporadic group, indicating an up-regulation in the expression of NKp30-a. The same trend was seen when comparing isoforms ratios between PBMC and placenta samples in the sporadic group and partially in the recurrent group, but not in the control group (Figures 3A.4, B.4, B.5). Because NKp30 isoforms ratios could not be subject to changes in dNK numbers, this up-regulation of NKp30-a, an activation isoforms of NKp30, may indicate extensive activation or/and function of dNK, as was reported by Zhang et al. (22).

NKp30 on dNK was reported to mediate pregnancy-related cytokine synthesis and secretion (15, 16). Fukui et al. previously reported, in PBMC, that the correlation between NCRs and selected cytokines was lost in RPL (23). Similarly in our study, in PBMC, correlation to selected cytokines was lost in sporadic and recurrent groups (Figure 4F). In the placenta tissue, a significant positive correlation was seen in the elective control group to IFNγ, TNFα, IL-10, and VEGF-A. By contrast, the sporadic and recurrent groups did not show the same correlation pattern; however, a significant negative correlation was seen to PLGF, an angiogenesis factor that was recently suggested as a marker for early pregnancy loss (Figure 4G) (2428). These data may point out a possible positive role of NKp30-a and NKp30-b in the promotion of early pregnancy placenta development that is disrupted in early pregnancy loss.

Furthermore, we showed that NKp30-a and NKp30-b but not NKp30-c were up-regulated in sporadic and recurrent placenta samples. Hanna et al. showed that adherent decidual cells express unknown NKp30 ligands (NKp30L), which in turn may mediate cytokine secretion through NKp30, as was shown by El Costa et al. (15, 16). It may be that this up-regulation of activation isoforms of NKp30 is a compensatory process for a lack of NKp30–NKp30L recognition, which in turn damages trophoblast invasion, marked by a low expression of PLGF; yet, this hypothesis still needs to be examined.

Overall, our observations correlate with previous publications regarding the enhancement of placenta NKp46 expression during spontaneous pregnancy loss. In addition, our results shed new light on the contribution of NKp30 by demonstrating (i) changes in NKp30 isoform status between the peripheral blood and placenta in pregnancy loss, and (ii) changes between elective and spontaneous pregnancy loss in regard to NKp30 isoform status.

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

This work was supported by United States – Israel Binational Science Foundation Grant 2011123 (AP) and Israel Science Foundation Grant 304/12. The funding sources had no involvement in study design; in the collection, analysis, and interpretation of data; in the writing of this report; nor in the decision to submit this article for publication.

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Keywords: isoforms, natural killer, NCR, NKp30, pregnancy loss

Citation: Shemesh A, Tirosh D, Sheiner E, Benshalom-Tirosh N, Brusilovsky M, Segev R, Rosental B and Porgador A (2015) First trimester pregnancy loss and the expression of alternatively spliced NKp30 isoforms in maternal blood and placental tissue. Front. Immunol. 6:189. doi: 10.3389/fimmu.2015.00189

Received: 25 December 2014; Accepted: 07 April 2015;
Published: 01 June 2015

Edited by:

Anahid Jewett, University of California Los Angeles School of Dentistry and Medicine, USA

Reviewed by:

Francisco Borrego, Cruces University Hospital, Spain
Amedeo Amedei, University of Florence, Italy
Benjamin Bonavida, University of California Los Angeles, USA

Copyright: © 2015 Shemesh, Tirosh, Sheiner, Benshalom-Tirosh, Brusilovsky, Segev, Rosental and Porgador. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Angel Porgador, The Shraga Segal Department of Microbiology, Immunology and Genetics, Faculty of Health Sciences, Ben-Gurion University of the Negev, P.O. Box 653, Beer-Sheva 84105, Israel, angel@bgu.ac.il

Avishai Shemesh and Dan Tirosh equally contributed to this work

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