Comparing surface immune markers in successful and non-viable ART pregnancies on the day of hCG measurement: a prospective pilot study

in Reproduction and Fertility
Authors:
Kevin Marron Enfer Medical, M7 Business Park, Naas, Kildare, Ireland

Search for other papers by Kevin Marron in
Current site
Google Scholar
PubMed
Close
https://orcid.org/0000-0003-3537-7281
and
Conor Harrity RCSI University of Medicine and Health Sciences, Dublin, Ireland
Beaumont Hospital, Dublin, Ireland

Search for other papers by Conor Harrity in
Current site
Google Scholar
PubMed
Close
https://orcid.org/0000-0001-6528-9704

Correspondence should be addressed to K Marron: kevin.marron@enfergroup.com
Open access
Sign up for journal news

Abstract

Blood lymphocyte reference ranges in non-pregnant females are established, but changes in pregnancy are less well understood. The early identification of immunological markers that could suggest an increased risk of early pregnancy loss may allow for timely intervention to improve outcomes. A lymphocytic immunophenotype provides a broad assessment of important immune parameters and potential indicators, which may be of relevance to pregnancy outcome. Comparison of immunophenotype results on the day of a positive hCG after embryo transfer between successful and failed pregnancies allows for this assessment. Baseline non-pregnant lymphocyte percentage and cell/µL profiles were established with a comprehensive panel on 93 age-matched male factor controls. Sixty-five in-vitro fertilisation (IVF) patients had an immunophenotype assessment on the day of a positive hCG, followed by further hCG tests and ultrasound monitoring as required to ultimately evaluate success (live birth) or failure (miscarriage). Thirty-one pregnancies were viable, leading to a live birth, while 34 ended in miscarriage. Total CD56, pNK, NKT, CD4 and CD8 levels were equivalent between all groups. Regardless of the outcome, B lymphocytes increased in pregnancy compared to controls. Of interest, in the later miscarriage cohort, pNK-specific CD69 was reduced (1.6 vs 5.4%, P = 0.02), while CD57+ cells were increased (45.4 vs 38.9%, P = 0.025). Corresponding changes were observed in cell/µL concentrations. Low level CD69 activation and elevated CD56dim and CD57+ NK cells were identified as markers that could potentially identify a pregnancy at risk of miscarriage, with further study needed to explore whether these changes represent cause or effect.

Lay summary

Unexplained infertility remains a difficult issue for patients and physicians alike, but despite recent diagnostic strides and innovative methods, there are no clear solutions on the horizon. Pregnancies can still occur in these challenging populations, either spontaneously or by interventions such as IVF. The early identification of various immune markers by blood sampling that may correlate with the subsequent outcome could be beneficial in identifying pregnancies at increased risk of miscarriage and perhaps allowing for timely and effective interventions.

Abstract

Abstract

Blood lymphocyte reference ranges in non-pregnant females are established, but changes in pregnancy are less well understood. The early identification of immunological markers that could suggest an increased risk of early pregnancy loss may allow for timely intervention to improve outcomes. A lymphocytic immunophenotype provides a broad assessment of important immune parameters and potential indicators, which may be of relevance to pregnancy outcome. Comparison of immunophenotype results on the day of a positive hCG after embryo transfer between successful and failed pregnancies allows for this assessment. Baseline non-pregnant lymphocyte percentage and cell/µL profiles were established with a comprehensive panel on 93 age-matched male factor controls. Sixty-five in-vitro fertilisation (IVF) patients had an immunophenotype assessment on the day of a positive hCG, followed by further hCG tests and ultrasound monitoring as required to ultimately evaluate success (live birth) or failure (miscarriage). Thirty-one pregnancies were viable, leading to a live birth, while 34 ended in miscarriage. Total CD56, pNK, NKT, CD4 and CD8 levels were equivalent between all groups. Regardless of the outcome, B lymphocytes increased in pregnancy compared to controls. Of interest, in the later miscarriage cohort, pNK-specific CD69 was reduced (1.6 vs 5.4%, P = 0.02), while CD57+ cells were increased (45.4 vs 38.9%, P = 0.025). Corresponding changes were observed in cell/µL concentrations. Low level CD69 activation and elevated CD56dim and CD57+ NK cells were identified as markers that could potentially identify a pregnancy at risk of miscarriage, with further study needed to explore whether these changes represent cause or effect.

Lay summary

Unexplained infertility remains a difficult issue for patients and physicians alike, but despite recent diagnostic strides and innovative methods, there are no clear solutions on the horizon. Pregnancies can still occur in these challenging populations, either spontaneously or by interventions such as IVF. The early identification of various immune markers by blood sampling that may correlate with the subsequent outcome could be beneficial in identifying pregnancies at increased risk of miscarriage and perhaps allowing for timely and effective interventions.

Introduction

Analytical and experimental epidemiological observations spanning decades have shown many finely tuned maternal modifications in the cellular and molecular immune response to pregnancy. These responses are physiologically demonstrated in a variety of forms, most notably by inhibition of allograft rejection, suppression of autoimmune disease and increased risk of maternal infection (Kraus et al. 2012, Pazos et al. 2012, Aghaeepour et al. 2017). In preparation for pregnancy, maternal innate and adaptive local immune responses at the trophoblast interface are fundamentally altered to make way for the fetal allograft and prevent its summary rejection (Davies 2007). Numerous key plasma proteomes involved in embryogenesis, angiogenesis, immunoregulation and inflammation are known to dramatically change expression profiles across the pregnancy and postpartum period (Romero et al. 2017). These critical adaptations protect the mother from harmful pathogens while simultaneously allowing for tolerance of fetal antigens (Mor et al. 2011).

Natural killer (NK) cell facilitation at the trophoblast–embryo interface and some top-level changes, such as systemic interleukin (IL)-4 levels and Th2 T cell modifications, are well established (Lin et al. 1993, Saito et al. 1999, Kwak-Kim & Gilman-Sachs 2008). Many factors are certainly in play all at once. Immune-specific markers of either a successful or failing early pregnancy, however, have not yet been identified (Parham 2004, Lash & Bulmer 2011). The majority of failing pregnancies in aged or IVF patients are considered to be genetic (Suzumori & Sugiura-Ogasawara 2010) or thrombotic (Rai 2003) in nature; however, it is possible that (peripheral blood) immune cell alterations may be influential and detectable at an early stage, but to what extent is largely unknown. We set out to address this issue in this study, albeit in IVF patients not necessarily representative of the general population.

The maternal immune priorities in advance of pregnancy may well be a factor in conditions such as infertility, implantation failure and poor placentation and further downstream complications such as pre-eclampsia (Moffett & Hiby 2007, Sargent et al. 2007, Kwak-Kim & Gilman-Sachs 2008). Recurrent pregnancy loss remains unexplained in 40–50% of cases (Stephenson 1996, Ford & Schust 2009, Hyde & Schust 2015). Normally involved in the maintenance of pregnancy, immune dysregulation is becoming more accepted as a causative mechanism behind many failed pregnancies, and possibly infertility. Most immunological investigations have focused on the natural killer cell and, more recently, NK cells in the uterine environment (Marron & Harrity 2019). The importance of dysfunctional NK cells in the aetiology of recurrent pregnancy loss is still unclear. Tregs and their contribution to successful pregnancies have been well studied, but mostly before, rather than after, implantation (Schlossberger et al. 2013). Treg’s influence is clearly fundamental and is closely associated with the classic ‘Th2 shift’ to a more anti-inflammatory phenotype. This switch, however, only takes place many weeks into a well-established first trimester pregnancy (Sykes et al. 2012, Ruocco et al. 2014, Feyaerts et al. 2017), and low Treg levels have previously been associated with spontaneous abortion (Lee et al. 2012). Classical T cells, in contrast, primarily provide cell-mediated immunity (Abrams & Miller 2011). T helper cells (CD4+) can be further subdivided into T helper 1 (Th1) cells and T helper 2 (Th2) cells depending on their pattern of cytokine production. Th1 cells secrete pro-inflammatory cytokines, such as interferon gamma (IFN-γ) and tumour necrosis factor alpha (TNF-α), whereas the Th2 cells secrete anti-inflammatory cytokines, such as IL-4, IL-10 and IL-13.

Using a comprehensive flow panel, we describe the peripheral blood NK variants, CD4+ T cells and subtypes, CD8+ T cells and B lymphocytes in non-pregnant age-matched controls and early pregnancy, in an attempt to identify a lymphocytic subtype that may be an indicator of pregnancies that later lead to a live birth vs those that suffer pregnancy loss. An improved understanding of the immune mechanisms involved in implantation and early pregnancy establishment could pave the way for treatment modifications to optimize diagnosis, prognosis and care, thereby improving fetal growth, development and live birth (Loke & King 2000, Kraus et al. 2012).

Subjects and methods

To establish the non-pregnant baseline immune pattern for the surface lymphocytic markers under investigation, 93 patients from a university-affiliated ART centre had a peripheral blood reproductive immunophenotype performed for analysis. This control group was selected from couples with primary male factor aetiology, where all female diagnostic investigations were normal, with no known history of endometriosis or other medical disorders and normal ultrasound imaging, in order to approach as closely to a normal fertile female population immunophenotype as possible. A peripheral blood immunophenotype in the control group was not performed on a specified day of the menstrual cycle but was performed in the early follicular phase at their baseline assessment, pre-treatment, between cycle days 2 and 5 to maintain consistency. An additional 65 test samples were obtained from IVF patients with unexplained infertility taken alongside a positive serum hCG test 14 days following frozen embryo transfer. Medical history was reviewed for these patients to ensure the aetiology was unexplained and to exclude potential confounding factors for miscarriage, with none having identifiable sperm abnormalities, or female risk factors, such as anatomical disorders. Unfortunately, pre-implantation genetic testing-aneuploidy (PGT-a) was not incorporated into the treatment cycles to exclude the transfer of aneuploid embryos. Only medicated frozen embryo transfer cycles were included to ensure consistency and exclude heterogeneity associated with stimulated cycles (e.g. high oestrogen levels, number of follicles and potential alterations to endometrial receptivity).

The testing laboratory has extensive experience with immunophenotyping by flow cytometry for peripheral and menstrual blood and endometrial biopsies (Marron et al. 2019, Marron & Harrity 2022). While different to the control group, who have an identifiable male factor aetiology, the ART study group have comparable baseline characteristics. The patient populations studied may not necessarily represent those of the general reproductive age population, and given their clinical history, pregnancy loss in these particular individuals may certainly be multifactorial rather than being specifically immune mediated. Due to financial constraints, the design of this pilot study did not allow for prior baseline immune evaluation in the study population, or chromosomal assessment of the embryos prior to transfer.

Peripheral blood samples in EDTA were procured by venepuncture and analysed by flow cytometry within 24 h of an automated immunoassay-based pregnancy test to establish serum βhCG levels. Standard peripheral blood, no-wash and lyse FCM protocols to minimise cell loss were utilised. Briefly, 100 μL peripheral blood were added to a cocktail of 100 μL antibodies + staining buffer as described below and incubated at room temperature for 20 min. Nine hundred microlitres Versalyse™ solution (Beckman Coulter UK Ltd) were used to eliminate red blood cell contamination prior to analysis on Navios 10C FCM (Beckman Coulter, UK), while the final 100 μL volume were contributed by Flow Count™ (Beckman Coulter, UK) beads. These beads allow concentration estimates to be calculated automatically in cells per µL of the sample.

Co-localisation of selected antibodies was employed across individual tubes for cellular evaluation, with a 10 colour flow panel and appropriate compensation matrices as described above (Marron et al. 2018); see Supplementary Table (see section on Supplementary materials given at the end of the article) for details. Cell types were defined according to accepted conventions. Tube 1 assessed peripheral type NK (pNK; CD16+ and CD56dim) cells, natural killer T (NKT; CD3+, CD16− and CD56dim) cells, expression of CD69 activation marker and CD57 NK maturity marker (within pNK and NKT), naive B lymphocytes (CD19+) and B1 type lymphocytes (CD5+ and CD19+). Tube 2 allowed analysis of T lymphocytes (CD4+ and CD8+) and various CD4 subsets, including Th1 (CD4+, CD183+ and CD196−), Th2 (CD4+, CD183− and CD196−) and regulatory T cells (Treg; CD4+, CD127dim and CD25bright). Splitting the tubes allows more markers to be assessed using the same fluorophores without fear of crossover cell contamination. Both percentages and cell counts per µL were assessed. 7-AAD cell viability assessments showed immune cell apoptosis to be minimal within the time frame of the study performance.

Informed consent was obtained from all patients for the analysis, with advanced approval obtained from the clinic’s research ethics committee and quality management department. The non-parametric Kruskal–Wallis rank test was used to look for P value differences (<0.05) between the control, viable and miscarriage cohorts. The Kruskal–Wallis test was selected for comparing the overall differences between multiple groups as it is an omnibus test, controlling for an overall false-positive rate and thus reducing the risk of type 1 errors. For direct comparison between two groups, a further assessment with the Wilcoxon rank-sum test was performed. IBM SPSS v24 was employed for statistical analysis.

Results

Using flow cytometric side scatter and CD45+ gating, baseline immunophenotype lymphocyte percentages and concentrations (cells/µL) were established in 93 non-pregnant age-matched individuals, with male factor infertility, creating a control group (Table 1). Further immunophenotyping techniques with antibody cocktails and specific laser wavelengths allowed lymphocytes to be clearly differentiated from the other mononuclear leucocytic cells present and demonstrated that peripheral blood possesses diverse lymphocyte subpopulations comprising T cells, B cells, peripheral type natural killer (pNK) cells and natural killer T cells (NKT) cells. Distinct monocyte and polymorphonuclear cell populations were also present but were not characterised in this study. Of the 65 positive hCG tests post-embryo transfer, 31 were later found to be viable and lead to a live birth, while 34 ended in miscarriage, dividing the initially pregnant population into two cohorts. Demographic differences between the groups are illustrated in Table 1 and highlight the differences between the pregnant and control populations in terms of reproductive history.

Table 1

Demographic details found between the study population groups.

ControlsViableMiscarriage
n933134
Age36.837.836.3
Sample timingBaseline (CD 2–5)D14 after ETD14 after ET
hCG rangeN/A144–177220–1340
Prior LB098
Previous miscarriage01214

CD, cycle day; ET, embryo transfer.

Comparing results between the control and the overall combined pregnancy group, it was shown that percentage proportions and concentrations of CD56+ cells (pNK and NKT) and both CD4+ and CD8+ T lymphocytes were the same between all cohorts (Tables 2 and 3), with no identified changes relative to controls. B cell (CD19+) lymphocytes were significantly elevated relative to controls in both proportions (14.1 vs 11.5%, P = 0.0001) and concentrations (348.9 vs 255.7 cells/µL, P = 0.0001), while pNK CD57 showed elevated levels in these patients (Fig. 1). Unexpectedly, the early pregnancy cases had lower concentrations of Tregs and NK CD69+ activation relative to the male-factor controls (Tables 2 and 3).

Table 2

Mean lymphocyte proportions (%) and concentrations (#; cells/μL) with associated standard deviation (SD) between the non-pregnant control group (normal female population with male-factor aetiology) and immunophenotype on the day of a positive hCG. The Wilcoxon rank-sum test was used to compare differences between groups.

Cell typeControl (%) (n = 93)hCG+ve (%) (n = 65)P valuesControl (#) (n = 93)hCG+ve (#) (n = 65)P values
pNK11.2 (5.5)10.6 (5.6)0.36241.0 (133.9)233.3(144.9)0.51
CD695.1 (7.0)3.4 (6.9)0.016*17.1 (27.1)10.4 (17.1)0.030*
NKT4.3 (2.1)4.7 (3.2)0.8191.3 (53.5)109.9 (80.8)0.30
CD5615.8 (6.2)15.9 (6.7)0.93335.2 (159.8)353.9 (178.2)0.53
CD5737.0 (12.6)42.3 (12.9)0.007*129.7 (89.4)160.0 (98.5)0.031*
CD445.6 (7.0)43.5 (8.5)0.072977.6(417.4)991.4 (481.9)0.96
CD819.5 (5.3)20.0 (6.1)0.56414.4 (180.3)452.8 (210.8)0.29
CD4:CD82.5 (0.9)2.9 (4.2)0.14---
Treg3.3 (1.4)2.5 (1.1)0.0004*31.7 (18.4)23.2 (12.4)0.006*
Th122.8 (8.9)22.2 (9.4)0.37212.5 (111.2)207.4 (102.7)0.89
Th252.23(10.7)55.2 (11.2)0.22516.0 (241.8)556.1 (321.2)0.75
Th1:Th20.75 (2.8)0.43 (0.2)0.41---
B cell11.5 (3.9)14.1 (4.2)0.0001*255.7 (146.9)348.9 (229.8)0.0001*

*bold font indicates statistical significance.

Table 3

Mean lymphocyte proportions (%) and concentrations (#; cell/µL) with associated standard deviation (SD) between pregnancies that continued on as viable or finished with miscarriage, measured on the day of a positive hCG. The Kruskal–Wallis rank test was used to compare differences between groups.

Cell typeViable (%) (n = 31)Misc (%) (n = 34)P valuesViable (#) (n = 31)Misc (#) (n = 34)P values
pNK11.0 (5.1)10.2 (6.0)0.43227.2 (144.1)239.8 (144.1)0.83
CD695.4 (1.7)1.6 (1.3)0.02*5.7 (5.8)15.7 (5.8)0.062
NKT4.6 (3.8)4.7 (2.5)0.34118.3 (74.1)100.9 (74.1)0.15
CD5616.1 (6.6)15.7 (6.9)0.80357.6 (175.0)349.8 (175.0)0.74
CD5738.9 (11.8)45.4 (13.3)0.03*172.1 (101.6)146.7 (101.6)0.28
CD442.4 (8.2)44.6 (8.7)0.531015.2 (395.9)965.3 (395.9)0.31
CD819.1 (5.4)20.8 (6.5)0.46471.4 (206.2)432.5 (206.2)0.53
CD4:CD83.4 (6.0)2.5 (1.2)0.75---
Treg2.5 (1.2)2.5 (1.0)0.7624.6 (12.4)21.7 (12.4)0.33
Th122.8 (9.0)22.2 (9.4)0.51215.4 (107.4)198.7 (107.4)0.63
Th254.8 (11.7)55.5 (11.0)0.94570.7 (278.8)540.1 (278.8)0.35
Th1:Th20.5 (0.3)0.4 (0.2)0.77---
B cell14.1 (3.9)14.10.98357.1 (233.6)339.8 (233.6)0.68

*bold font indicates significant markers and their associated P values.

Figure 1
Figure 1

Box plot demonstrating the distribution of lymphocyte values between non-pregnant controls, and both miscarriage and viable pregnancy groups.

Citation: Reproduction and Fertility 6, 1; 10.1530/RAF-24-0034

When the pregnant population was subdivided into ongoing viable vs non-viable groups, several significant differences became apparent. The peripheral blood natural killer (pNK) cell CD69+ activation was markedly reduced in the miscarriage cohort, in both percentage expressions (1.6 vs 5.4%, P = 0.024) and concentrations (5.7 vs 15.7 cells/µL, Table 3) and an increase in CD57+ NK cells (comprising both CD16+CD56dim pNK and CD3+CD56dim NKT) (45.4 vs 38.9%, P = 0.025) (Fig. 2). Within the pregnancy study groups, Treg levels showed equivalence when tested at cycle day 15. Understanding the mechanisms for these changes requires additional investigation.

Figure 2
Figure 2

Summary of the immune changes seen in response to or as a cause of failing or viable pregnancies.

Citation: Reproduction and Fertility 6, 1; 10.1530/RAF-24-0034

Discussion

Normal pre-pregnancy patterns of peripheral blood lymphocyte subtypes have been established, but the impact of immune dysregulation on reproductive function is poorly understood. Immunological patterns and changes with pregnancy are both extensive and obscure. Apart from the male-factor control samples, the study cases had a poor reproductive history, with repeated episodes of pregnancy loss or implantation failure of unexplained aetiology on a background of prolonged infertility, so the changes observed may not exactly mirror those in a more ‘normal’ pregnant population. Other design flaws are present in this pilot program. Unfortunately, the study group does not benefit from a baseline pre-treatment or non-pregnant immunophenotype, so they are compared with controls where the sample was collected in the follicular phase. Some studies have suggested that the immunophenotype may vary over a menstrual cycle (Oertelt-Prigione 2012). This could be influenced by progesterone having immunosuppressive type properties, favouring a Th2 cytokine profile and inhibiting mast cell degranulation (Zwahlen & Stute 2024). Further comparison of follicular and luteal phase reproductive immunophenotypes would help clarify this potential discrepancy.

The importance of classical T regulatory cells in the establishment of pregnancy rivals that of natural killer cell involvement in the process. The immunosuppressive properties of these cells are important in developing maternal tolerance to fetal alloantigens and establishing a viable pregnancy (Huang et al. 2020). Indeed, insufficient Treg numbers or function has been associated with infertility, miscarriage and pregnancy complications (Robertson et al. 2018). The expansion and recruitment of Tregs is hormonally sensitive, stimulated by oestrogen, progesterone and human chorionic gonadotropin (Huang et al. 2020). An unexpected finding in this study was higher Treg populations in the control subjects than in the early pregnancy cases and no change in Treg status between viable and failing pregnancies, at least at this very early time point. Reasons for this are difficult to elucidate, and further study is needed to determine whether this is a genuine finding, or a result of patient characteristics in the reproductive failure group and/or sample timing in the controls. Potentially, the unexplained infertility population may have lower baseline Treg levels when compared to a normal female population. As Tregs are inducible, initial low levels may have been overcome as the viable pregnancies progressed. A previous study suggested that Tregs may be preferentially recruited to the decidua of failing pregnancies (Sasaki et al. 2004). In addition, insufficient expansion of regulatory T cells towards paternal antigens is another proposed mechanism of pregnancy failure (Zenclussen et al. 2005). Treg cells are also said to be involved in the classical Th2 shift towards humoural-based immunity, as a consequence of normal pregnancy, but is not expected at this very early stage of gestation. Treg decreases in pregnancy have been described before but primarily in the identification of patients who may be pre-disposed to the development of pre-eclampsia (Salazar Garcia et al. 2018). In this assessment of immunophenotype changes in very early pregnancy, there was no observable change in Treg proportion or concentration when viable and miscarriage groups were compared.

The B cell changes observed here, where values are increased in both viable vs miscarriage cohorts, relative to non-pregnant controls, seem not to be useful in determining later viability. B cell changes are certainly important in the maintenance of pregnancy humoural equilibrium but again may not be manifest at the early stage studied here.

Natural killer cells have been extensively studied in the context of reproductive failure, with high proportions and increased cytotoxicity reported as poor prognostic indicators (Kwak et al. 1995, Dosiou & Giudice 2005). This does not preclude their intimate involvement in decidualisation, tolerisation and spiral artery remodelling and thereby successful pregnancies, but then, dysfunction may be linked to reproductive failure. CD56dimCD69+ pNK cells represent those cells that are positively activated over and above the baseline levels of activation. A decreased level of CD69 activation in the patients in the miscarriage cohort may therefore represent dysfunction in this important cell type. Similarly, the hyperpotent cytotoxic marker CD56dimCD57+ was elevated relative to controls, perhaps indicating the baseline level of this marker was raised in our study subjects. The elevated CD57 seen in the miscarriage group may simply reflect higher baseline levels of this marker, prior to pregnancy establishment, and may herald those cycles destined for immune mediated miscarriage.

A direct immune assessment of the endometrium by biopsy has been proposed as the best test to identify specific patients with poor reproductive outcomes who may benefit from targeted immunotherapy (Sacks 2015). Our previous work has identified that three immune cell surface markers (Th1 percentage, NKT and total CD57+) have a strong correlation in expression between both peripheral blood and endometrium (Marron & Harrity 2023). Although it is well established that no relationship exists between pNK cells in both compartments, there is a hypothesis that perhaps some important endometrial markers may have a direct correlation with a peripheral blood immunophenotype, perhaps reducing the need for an invasive biopsy in certain patients. The study findings here again highlight the potential significance of specifically elevated CD57+ NK cells as a marker for increased risk of pregnancy loss.

Early identification of immunological markers that could indicate an increased risk of pregnancy loss could allow for timely intervention in an attempt to improve outcome. Low NK CD69 activation and elevated CD56dimCD57+ NK cells have all been identified in this study as accessible surface markers that could potentially identify a pregnancy at increased risk. Whether these changes are a response to an already failing pregnancy, perhaps of chromosomal aetiology, or an immune-mediated cause or risk factor for pregnancy loss needs further study.

In conclusion, peripheral blood lymphocyte examination may be meritorious in identifying patient subgroups in which immune system dysfunction may be a factor in adverse reproductive outcomes, potentially for the maintenance of pregnancy and risk of miscarriage. Further research is needed to confirm whether the identified changes in these markers correlate with adverse outcomes in a larger more diverse population and whether the variations in identified markers are a response to a pregnancy already in the process of failing or are instead a marker of immune dysfunction that may lead to an alloimmune cause of miscarriage. Once a relationship between cause and effect has been confirmed, personalised interventional studies on selected patients could be considered to determine whether specific immunomodulatory treatments, tuned to the individual immunophenotype exhibited, could have a role in reducing the miscarriage potential for high-risk pregnancies, and possibly establishing a pathway back to viability.

Supplementary materials

This is linked to the online version of the paper at https://doi.org/10.1530/RAF-24-0034.

Declaration of interest

The authors declare that there is no conflict of interest that could be perceived as prejudicing the impartiality of the work. C Harrity is an Associate Editor of Reproduction & Fertility and was not involved in the review or editorial process for this paper, on which he is listed as an author.

Funding

This pilot study was funded locally.

Author contribution statement

KM conceived the projected and performed the flow cytometry analysis and CH assisted with study design, statistical analysis and editing the manuscript.

Patient consent and ethics approval

Informed consent was obtained from all individual participants included in the study, and the protocol was approved by the clinic’s research ethics committee.

References

  • Abrams ET & Miller EM 2011 The roles of the immune system in women’s reproduction: evolutionary constraints and life history trade-offs. Am J Phys Anthropol 146 (Supplement 53) 134154. (https://doi.org/10.1002/ajpa.21621)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Aghaeepour N, Ganio EA, McIlwain D, et al. 2017 An immune clock of human pregnancy. Sci Immunol 2 eaan2946. (https://doi.org/10.1126/sciimmunol.aan2946)

  • Davies CJ 2007 Why is the fetal allograft not rejected? J Anim Sci 85 (Supplement 13) E32E35. (https://doi.org/10.2527/jas.2006-492)

  • Dosiou C & Giudice LC 2005 Natural killer cells in pregnancy and recurrent pregnancy loss: endocrine and immunologic perspectives. Endocr Rev 26 4462. (https://doi.org/10.1210/er.2003-0021)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Feyaerts D, Benner M, van Cranenbroek B, et al. 2017 Human uterine lymphocytes acquire a more experienced and tolerogenic phenotype during pregnancy. Sci Rep 7 2884. (https://doi.org/10.1038/s41598-017-03191-0)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Ford HB & Schust DJ 2009 Recurrent pregnancy loss: etiology, diagnosis, and therapy. Rev Obstet Gynecol 2 7683.

  • Huang N, Chi H & Qiao J 2020 Role of regulatory T cells in regulating fetal-maternal immune tolerance in healthy pregnancies and reproductive diseases. Front Immunol 11 1023. (https://doi.org/10.3389/fimmu.2020.01023)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Hyde KJ & Schust DJ 2015 Genetic considerations in recurrent pregnancy loss. Cold Spring Harb Perspect Med 5 a023119. (https://doi.org/10.1101/cshperspect.a023119)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Kraus TA, Engel SM, Sperling RS, et al. 2012 Characterizing the pregnancy immune phenotype: results of the viral immunity and pregnancy (VIP) study. J Clin Immunol 32 300311. (https://doi.org/10.1007/s10875-011-9627-2)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Kwak JY, Beaman KD, Gilman-Sachs A, et al. 1995 Up-regulated expression of CD56+, CD56+/CD16+, and CD19+ cells in peripheral blood lymphocytes in pregnant women with recurrent pregnancy losses. Am J Reprod Immunol 34 9399. (https://doi.org/10.1111/j.1600-0897.1995.tb00924.x)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Kwak-Kim J & Gilman-Sachs A 2008 Review article: clinical implication of natural killer cells and reproduction. Am J Reprod Immunol 59 388400. (https://doi.org/10.1111/j.1600-0897.2008.00596.x)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Lash GE & Bulmer JN 2011 Do uterine natural killer (uNK) cells contribute to female reproductive disorders? J Reprod Immunol 88 156164. (https://doi.org/10.1016/j.jri.2011.01.003)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Lee SK, Kim JY, Lee M, et al. 2012 Th17 and regulatory T cells in women with recurrent pregnancy loss. Am J Reprod Immunol 67 311318. (https://doi.org/10.1111/j.1600-0897.2012.01116.x)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Lin H, Mosmann TR, Guilbert L, et al. 1993 Synthesis of T helper 2-type cytokines at the maternal-fetal interface. J Immunol 151 45624573. (https://doi.org/10.4049/jimmunol.151.9.4562)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Loke YW & King A 2000 Immunological aspects of human implantation. J Reprod Fertil Suppl 55 8390.

  • Marron K & Harrity C 2019 Endometrial lymphocyte concentrations in adverse reproductive outcome populations. J Assist Reprod Genet 36 837846. (https://doi.org/10.1007/s10815-019-01427-8)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Marron K & Harrity C 2022 Potential utility of a non-invasive menstrual blood immunophenotype analysis in reproductive medicine. Reprod Fertil 3 255261. (https://doi.org/10.1530/raf-22-0047)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Marron K & Harrity C 2023 Correlation of peripheral blood and endometrial immunophenotyping in ART: is peripheral blood sampling useful? J Assist Reprod Genet 40 381387. (https://doi.org/10.1007/s10815-022-02696-6)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Marron K, Walsh D & Harrity C 2018 Detailed endometrial immune assessment of both normal and adverse reproductive outcome populations. J Assist Reprod Genet 36 199210. (https://doi.org/10.1007/s10815-018-1300-8)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Marron K, Walsh D & Harrity C 2019 Detailed endometrial immune assessment of both normal and adverse reproductive outcome populations. J Assist Reprod Genet 36 199210. (https://doi.org/10.1007/s10815-018-1300-8)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Moffett A & Hiby SE 2007 How Does the maternal immune system contribute to the development of pre-eclampsia? Placenta 28 (Supplement A) S51S56. (https://doi.org/10.1016/j.placenta.2006.11.008)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Mor G, Cardenas I, Abrahams V, et al. 2011 Inflammation and pregnancy: the role of the immune system at the implantation site. Ann N Y Acad Sci 1221 8087. (https://doi.org/10.1111/j.1749-6632.2010.05938.x)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Oertelt-Prigione S 2012 Immunology and the menstrual cycle. Autoimmun Rev 11 A486A492. (https://doi.org/10.1016/j.autrev.2011.11.023)

  • Parham P 2004 NK cells and trophoblasts: partners in pregnancy. J Exp Med 200 951955. (https://doi.org/10.1084/jem.20041783)

  • Pazos M, Sperling RS, Moran TM, et al. 2012 The influence of pregnancy on systemic immunity. Immunol Res 54 254261. (https://doi.org/10.1007/s12026-012-8303-9)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Rai R 2003 Is miscarriage a coagulopathy? Curr Opin Obstet Gynecol 15 265268. (https://doi.org/10.1097/00001703-200306000-00010)

  • Robertson SA, Care AS & Moldenhauer LM 2018 Regulatory T cells in embryo implantation and the immune response to pregnancy. J Clin Invest 128 42244235. (https://doi.org/10.1172/JCI122182)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Romero R, Erez O, Maymon E, et al. 2017 The maternal plasma proteome changes as a function of gestational age in normal pregnancy: a longitudinal study. Am J Obstet Gynecol 217 67.e167.e21. (https://doi.org/10.1016/j.ajog.2017.02.037)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Ruocco MG, Chaouat G, Florez L, et al. 2014 Regulatory T-cells in pregnancy: historical perspective, state of the art, and burning questions. Front Immunol 5 389. (https://doi.org/10.3389/fimmu.2014.00389)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Sacks G 2015 Enough! Stop the arguments and get on with the science of natural killer cell testing. Hum Reprod 30 15261531. (https://doi.org/10.1093/humrep/dev096)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Saito S, Sakai M, Sasaki Y, et al. 1999 Quantitative analysis of peripheral blood Th0, Th1, Th2 and the Th1:Th2 cell ratio during normal human pregnancy and preeclampsia. Clin Exp Immunol 117 550555. (https://doi.org/10.1046/j.1365-2249.1999.00997.x)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Salazar Garcia MD, Mobley Y, Henson J, et al. 2018 Early pregnancy immune biomarkers in peripheral blood may predict preeclampsia. J Reprod Immunol 125 2531. (https://doi.org/10.1016/j.jri.2017.10.048)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Sargent IL, Borzychowski AM & Redman CW 2007 NK cells and pre-eclampsia. J Reprod Immunol 76 4044. (https://doi.org/10.1016/j.jri.2007.03.009)

  • Sasaki Y, Sakai M, Miyazaki S, et al. 2004 Decidual and peripheral blood CD4+CD25+ regulatory T cells in early pregnancy subjects and spontaneous abortion cases. Mol Hum Reprod 10 347353. (https://doi.org/10.1093/molehr/gah044)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Schlossberger V, Schober L, Rehnitz J, et al. 2013 The success of assisted reproduction technologies in relation to composition of the total regulatory T cell (Treg) pool and different Treg subsets. Hum Reprod 28 30623073. (https://doi.org/10.1093/humrep/det316)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Stephenson MD 1996 Frequency of factors associated with habitual abortion in 197 couples. Fertil Steril 66 2429. (https://doi.org/10.1016/s0015-0282(16)58382-4)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Suzumori N & Sugiura-Ogasawara M 2010 Genetic factors as a cause of miscarriage. Curr Med Chem 17 34313437. (https://doi.org/10.2174/092986710793176302)

  • Sykes L, MacIntyre DA, Yap XJ, et al. 2012 Changes in the Th1:Th2 cytokine bias in pregnancy and the effects of the anti-inflammatory cyclopentenone prostaglandin 15-deoxy-Δ(12,14)-prostaglandin J2. Mediators Inflamm 2012 112. (https://doi.org/10.1155/2012/416739)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Zenclussen AC, Gerlof K, Zenclussen ML, et al. 2005 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 166 811822. (https://doi.org/10.1016/s0002-9440(10)62302-4)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Zwahlen M & Stute P 2024 Impact of progesterone on the immune system in women: a systematic literature review. Arch Gynecol Obstet 309 3746. (https://doi.org/10.1007/s00404-023-06996-9)

    • PubMed
    • Search Google Scholar
    • Export Citation

Supplementary Materials

 

  • Collapse
  • Expand
  • Figure 1

    Box plot demonstrating the distribution of lymphocyte values between non-pregnant controls, and both miscarriage and viable pregnancy groups.

  • Figure 2

    Summary of the immune changes seen in response to or as a cause of failing or viable pregnancies.

  • Abrams ET & Miller EM 2011 The roles of the immune system in women’s reproduction: evolutionary constraints and life history trade-offs. Am J Phys Anthropol 146 (Supplement 53) 134154. (https://doi.org/10.1002/ajpa.21621)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Aghaeepour N, Ganio EA, McIlwain D, et al. 2017 An immune clock of human pregnancy. Sci Immunol 2 eaan2946. (https://doi.org/10.1126/sciimmunol.aan2946)

  • Davies CJ 2007 Why is the fetal allograft not rejected? J Anim Sci 85 (Supplement 13) E32E35. (https://doi.org/10.2527/jas.2006-492)

  • Dosiou C & Giudice LC 2005 Natural killer cells in pregnancy and recurrent pregnancy loss: endocrine and immunologic perspectives. Endocr Rev 26 4462. (https://doi.org/10.1210/er.2003-0021)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Feyaerts D, Benner M, van Cranenbroek B, et al. 2017 Human uterine lymphocytes acquire a more experienced and tolerogenic phenotype during pregnancy. Sci Rep 7 2884. (https://doi.org/10.1038/s41598-017-03191-0)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Ford HB & Schust DJ 2009 Recurrent pregnancy loss: etiology, diagnosis, and therapy. Rev Obstet Gynecol 2 7683.

  • Huang N, Chi H & Qiao J 2020 Role of regulatory T cells in regulating fetal-maternal immune tolerance in healthy pregnancies and reproductive diseases. Front Immunol 11 1023. (https://doi.org/10.3389/fimmu.2020.01023)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Hyde KJ & Schust DJ 2015 Genetic considerations in recurrent pregnancy loss. Cold Spring Harb Perspect Med 5 a023119. (https://doi.org/10.1101/cshperspect.a023119)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Kraus TA, Engel SM, Sperling RS, et al. 2012 Characterizing the pregnancy immune phenotype: results of the viral immunity and pregnancy (VIP) study. J Clin Immunol 32 300311. (https://doi.org/10.1007/s10875-011-9627-2)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Kwak JY, Beaman KD, Gilman-Sachs A, et al. 1995 Up-regulated expression of CD56+, CD56+/CD16+, and CD19+ cells in peripheral blood lymphocytes in pregnant women with recurrent pregnancy losses. Am J Reprod Immunol 34 9399. (https://doi.org/10.1111/j.1600-0897.1995.tb00924.x)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Kwak-Kim J & Gilman-Sachs A 2008 Review article: clinical implication of natural killer cells and reproduction. Am J Reprod Immunol 59 388400. (https://doi.org/10.1111/j.1600-0897.2008.00596.x)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Lash GE & Bulmer JN 2011 Do uterine natural killer (uNK) cells contribute to female reproductive disorders? J Reprod Immunol 88 156164. (https://doi.org/10.1016/j.jri.2011.01.003)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Lee SK, Kim JY, Lee M, et al. 2012 Th17 and regulatory T cells in women with recurrent pregnancy loss. Am J Reprod Immunol 67 311318. (https://doi.org/10.1111/j.1600-0897.2012.01116.x)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Lin H, Mosmann TR, Guilbert L, et al. 1993 Synthesis of T helper 2-type cytokines at the maternal-fetal interface. J Immunol 151 45624573. (https://doi.org/10.4049/jimmunol.151.9.4562)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Loke YW & King A 2000 Immunological aspects of human implantation. J Reprod Fertil Suppl 55 8390.

  • Marron K & Harrity C 2019 Endometrial lymphocyte concentrations in adverse reproductive outcome populations. J Assist Reprod Genet 36 837846. (https://doi.org/10.1007/s10815-019-01427-8)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Marron K & Harrity C 2022 Potential utility of a non-invasive menstrual blood immunophenotype analysis in reproductive medicine. Reprod Fertil 3 255261. (https://doi.org/10.1530/raf-22-0047)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Marron K & Harrity C 2023 Correlation of peripheral blood and endometrial immunophenotyping in ART: is peripheral blood sampling useful? J Assist Reprod Genet 40 381387. (https://doi.org/10.1007/s10815-022-02696-6)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Marron K, Walsh D & Harrity C 2018 Detailed endometrial immune assessment of both normal and adverse reproductive outcome populations. J Assist Reprod Genet 36 199210. (https://doi.org/10.1007/s10815-018-1300-8)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Marron K, Walsh D & Harrity C 2019 Detailed endometrial immune assessment of both normal and adverse reproductive outcome populations. J Assist Reprod Genet 36 199210. (https://doi.org/10.1007/s10815-018-1300-8)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Moffett A & Hiby SE 2007 How Does the maternal immune system contribute to the development of pre-eclampsia? Placenta 28 (Supplement A) S51S56. (https://doi.org/10.1016/j.placenta.2006.11.008)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Mor G, Cardenas I, Abrahams V, et al. 2011 Inflammation and pregnancy: the role of the immune system at the implantation site. Ann N Y Acad Sci 1221 8087. (https://doi.org/10.1111/j.1749-6632.2010.05938.x)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Oertelt-Prigione S 2012 Immunology and the menstrual cycle. Autoimmun Rev 11 A486A492. (https://doi.org/10.1016/j.autrev.2011.11.023)

  • Parham P 2004 NK cells and trophoblasts: partners in pregnancy. J Exp Med 200 951955. (https://doi.org/10.1084/jem.20041783)

  • Pazos M, Sperling RS, Moran TM, et al. 2012 The influence of pregnancy on systemic immunity. Immunol Res 54 254261. (https://doi.org/10.1007/s12026-012-8303-9)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Rai R 2003 Is miscarriage a coagulopathy? Curr Opin Obstet Gynecol 15 265268. (https://doi.org/10.1097/00001703-200306000-00010)

  • Robertson SA, Care AS & Moldenhauer LM 2018 Regulatory T cells in embryo implantation and the immune response to pregnancy. J Clin Invest 128 42244235. (https://doi.org/10.1172/JCI122182)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Romero R, Erez O, Maymon E, et al. 2017 The maternal plasma proteome changes as a function of gestational age in normal pregnancy: a longitudinal study. Am J Obstet Gynecol 217 67.e167.e21. (https://doi.org/10.1016/j.ajog.2017.02.037)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Ruocco MG, Chaouat G, Florez L, et al. 2014 Regulatory T-cells in pregnancy: historical perspective, state of the art, and burning questions. Front Immunol 5 389. (https://doi.org/10.3389/fimmu.2014.00389)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Sacks G 2015 Enough! Stop the arguments and get on with the science of natural killer cell testing. Hum Reprod 30 15261531. (https://doi.org/10.1093/humrep/dev096)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Saito S, Sakai M, Sasaki Y, et al. 1999 Quantitative analysis of peripheral blood Th0, Th1, Th2 and the Th1:Th2 cell ratio during normal human pregnancy and preeclampsia. Clin Exp Immunol 117 550555. (https://doi.org/10.1046/j.1365-2249.1999.00997.x)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Salazar Garcia MD, Mobley Y, Henson J, et al. 2018 Early pregnancy immune biomarkers in peripheral blood may predict preeclampsia. J Reprod Immunol 125 2531. (https://doi.org/10.1016/j.jri.2017.10.048)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Sargent IL, Borzychowski AM & Redman CW 2007 NK cells and pre-eclampsia. J Reprod Immunol 76 4044. (https://doi.org/10.1016/j.jri.2007.03.009)

  • Sasaki Y, Sakai M, Miyazaki S, et al. 2004 Decidual and peripheral blood CD4+CD25+ regulatory T cells in early pregnancy subjects and spontaneous abortion cases. Mol Hum Reprod 10 347353. (https://doi.org/10.1093/molehr/gah044)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Schlossberger V, Schober L, Rehnitz J, et al. 2013 The success of assisted reproduction technologies in relation to composition of the total regulatory T cell (Treg) pool and different Treg subsets. Hum Reprod 28 30623073. (https://doi.org/10.1093/humrep/det316)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Stephenson MD 1996 Frequency of factors associated with habitual abortion in 197 couples. Fertil Steril 66 2429. (https://doi.org/10.1016/s0015-0282(16)58382-4)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Suzumori N & Sugiura-Ogasawara M 2010 Genetic factors as a cause of miscarriage. Curr Med Chem 17 34313437. (https://doi.org/10.2174/092986710793176302)

  • Sykes L, MacIntyre DA, Yap XJ, et al. 2012 Changes in the Th1:Th2 cytokine bias in pregnancy and the effects of the anti-inflammatory cyclopentenone prostaglandin 15-deoxy-Δ(12,14)-prostaglandin J2. Mediators Inflamm 2012 112. (https://doi.org/10.1155/2012/416739)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Zenclussen AC, Gerlof K, Zenclussen ML, et al. 2005 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 166 811822. (https://doi.org/10.1016/s0002-9440(10)62302-4)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Zwahlen M & Stute P 2024 Impact of progesterone on the immune system in women: a systematic literature review. Arch Gynecol Obstet 309 3746. (https://doi.org/10.1007/s00404-023-06996-9)

    • PubMed
    • Search Google Scholar
    • Export Citation