Original Article |
Corresponding author: Stylianos Tologkos ( steltolo@gmail.com ) © 2023 Vasiliki Papadatou, Stylianos Tologkos, Theodora Deftereou, Triantafyllos Alexiadis, Olga Pagonopoulou, Christina-Angelika Alexiadi, Panagiota Bakatselou, Sadik Tzem Chousein Oglou, Grigorios Tripsianis, Achilleas Mitrakas, Maria Lambropoulou.
This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Citation:
Papadatou V, Tologkos S, Deftereou T, Alexiadis T, Pagonopoulou O, Alexiadi C-A, Bakatselou P, Oglou STC, Tripsianis G, Mitrakas A, Lambropoulou M (2023) Viral-induced inflammation can lead to adverse pregnancy outcomes. Folia Medica 65(5): 744-752. https://doi.org/10.3897/folmed.65.e90054
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Introduction: Parvoviruses are DNA viruses of small size. There have been a number of reports indicating the possible effects of B19 infections during pregnancy. These effects include spontaneous abortions, stillbirth, fetal damage, and quite often, fetal anemia with hydrops fetalis.
Aim: The aim of this study was the correlation of Epstein-Barr virus (EBV) and parvovirus-B19 infections with inflammation levels in placental tissue coming from spontaneous abortions and elective terminations cases. We also investigated whether viral presence could cause spontaneous abortions by associating the expression levels of inflammatory markers with adverse pregnancy outcomes.
Materials and methods: One hundred ninety-four placental samples were used, 152 included in the study group coming from spontaneous abortions while 42 controls were used from cases of elective terminations. Hematoxylin and eosin (H&E) staining was performed to investigate morphological changes in the tissues, and then indirect immunohistochemistry to evaluate the expression of TNF-α, IL-6, IL-1α, B19, and EBV. Statistical analysis was performed using SPSS v. 19.0 (IBM).
Results: Higher inflammation levels were observed with statistical significance in the spontaneous abortions group (p<0.001) and they were correlated with statistical significance with B19 or EBV presence (p<0.001). Viral presence was only found in the spontaneous abortions group. Both simple and multiple logistic regression confirmed that viral presence was an independent prognostic factor for high expression of all inflammatory biomarkers with statistical significance (p<0.001).
Conclusions: Our results clearly indicate a specific pattern. Viral presence can deregulate inflammatory processes in the maternal-fetal environment and thus work as a trigger for spontaneous abortions.
B19, EBV, pregnancy, spontaneous abortion, virus
Parvoviruses are DNA viruses of small size. There have been a number of reports indicating the possible effects of B19 infections during pregnancy. These effects include spontaneous abortions, stillbirth, fetal damage, and quite often, fetal anemia with hydrops fetalis.[
Our aim was to correlate Epstein-Barr virus (EBV) and parvovirus-B19 infection with inflammation levels in placental samples coming from spontaneous abortions, indicating that the overexpression of inflammatory proteins triggered by the viral presence can lead to an adverse pregnancy outcome.
We used 152 placental samples from spontaneous abortions and intrauterine deaths from all three trimesters as a study group and 42 samples coming from pregnancy terminations in first and second trimesters of seemingly healthy fetuses as a control group.
All histological samples came from the archive of the Laboratory of Histology and Embryology of Democritus University of Thrace.
According to the standard histological protocol, all samples were fixed in 10% buffered formalin and embedded in paraffin. 3-μm hematoxylin-eosin-stained sections were histopathologically examined. Serial sections from each case were deparaffinized, rehydrated, and treated with 0.3% H2O2. Immunohistochemical staining was performed using the following antibodies: anti-IL-1α (Santa Cruz, Texas, USA-Mouse Monoclonal, 1:200), anti-IL-6 (Santa Cruz, Texas, USA, Rabbit Polyclonal, dilution 1:500), anti-TNF-α (Acris, Herford, Germany, Rabbit Polyclonal, 1:200), anti-B19 (Dako, Glostrup, Denmark, Rabbit Polyclonal, 1:200 dilution, specific for the VP2 protein) and anti-EBV (Dako, Glostrup, Denmark, Rabbit Polyclonal, 1:150 dilution, specific for the LMP protein) and was visualized by the peroxidase method (Envision System, DAKO, Carpinteria, CA, USA) using EnVisionTM FLEX diaminobenzidine (DAB) chromogen.
All samples were studied using a Nikon Eclipse 50i microscope with an integrated camera Nikon Digital Sight DS-L1 (Nikon Corporation, Tokyo, Japan). From each histological section, 5 high-power fields were randomly chosen. Evaluation of antibody expression was performed using a semi-quantitative system, where no expression was valued as 0 (<10% stained cells), low expression (10-30%) as 1 medium (30-70%) and high expression (>70%) as 2 and 3, respectively.
Statistical analysis of our data was performed using SPSS v. 19.0 (IBM). Qualitative characteristics of the patients were expressed as absolute and relative frequencies (%), while quantitative variables were expressed as median values ±1 standard deviation (SD). Investigation of the correlation between expressions of the tested markers with patient characteristics was performed using chi-square test. Evaluation of the possibility for positive expression of TNF-α, IL-1α, IL-6, B19, and EBV was done through calculation of Odds Ratio (OR) and the corresponding 95% confidence intervals (CI) through simple logistic regression models. Investigation of independent prognostic factors for positive expression of the tested markers was performed using a multiple logistic regression test. All statistical tests were bilateral and the results were considered statistically significant for p<0.05.
Staining results are shown in Fig.
A. H&E staining in placental tissue coming from spontaneous abortions. Nuclear inclusion bodies indicated by arrows (×200); B. B19 positive IHC staining in placental tissue coming from spontaneous abortion indicated by arrow (×400); C. EBV positive IHC staining in placental tissue coming from spontaneous abortion indicated by arrows (×400); D. High expression of IL-6 IHC staining in placental tissue coming from spontaneous abortion (×200); E. High expression of IL-1α IHC staining in placental tissue coming from spontaneous abortion (×200); F. Moderate expression of TNF-α IHC staining in placental tissue coming from spontaneous abortion (×200); G. Negative marker in IHC staining (×200).
The characteristics of the patient groups as well as expression levels of each inflammatory marker in the two groups are shown in Table
Comparison of the demographic and clinical characteristics between the two sample groups
Groups | P value | ||
Control | Study | ||
Age | 0.908 | ||
<25 | 13 (31.0) | 44 (28.9) | |
26-34 | 18 (42.9) | 63 (41.4) | |
≥35 | 11 (26.2) | 45 (29.6) | |
Trimester | <0.001 | ||
1st | 30 (71.4) | 51 (33.6) | |
2nd | 12 (28.6) | 58 (3 28.2) | |
3rd | 0 (0.0) | 43 (28.3) | |
Sex | 0.203 | ||
Male | 24 (57.1) | 70 (46.1) | |
Female | 18 (42.9) | 82 (53.9) | |
Β19 | 0.080 | ||
Negative | 42 (100.0) | 142 (93.4) | |
Positive | 0 (0.0) | 10 (6.6) | |
EBV | 0.106 | ||
Negative | 42 (100.0) | 142 (93.4) | |
Positive | 0 (0.0) | 9 (5.9) | |
IL-6 expression | <0.001 | ||
Negative | 27 (64.3) | 7 (4.6) | |
Low | 14 (33.3) | 53 (34.9) | |
Medium | 1 (2.4) | 75 (49.3) | |
High | 0 (0.0) | 17 (11.2) | |
TNF-a expression | <0.001 | ||
Negative | 30 (71.4) | 6 (3.9) | |
Low | 11 (26.2) | 59 (38.8) | |
Medium | 1 (2.4) | 70 (46.1) | |
High | 0 (0.0) | 17 (11.2) | |
IL-1a expression | <0.001 | ||
Negative | 33 (78.6) | 2 (1.3) | |
Low | 8 (19.0) | 66 (43.4) | |
Medium | 1 (2.4) | 65 (42.8) | |
High | 0 (0.0) | 19 (12.5) |
Correlation of IL-6 expression with clinical characteristics is shown in Table
Levels of IL-6 expression in the study group in comparison with clinical parameters. High IL-6 expression is associated with the demographic and clinical characteristics of the study group
IL-6 expression | p-value | ||||||
Negative | Low | Medium | High | ||||
Age | 0.001 | ||||||
<25 | 4 (9.1) | 23 (52.3) | 15 (34.1) | 2 (4.5) | |||
26-34 | 3 (4.8) | 21 (33.3) | 35 (55.6) | 4 (6.3) | |||
≥35 | 0 (0.0) | 9 (20.0) | 25 (55.6) | 11 (24.4) | |||
Trimester | 0.003 | ||||||
1st | 6 (11.8) | 25 (49.0) | 16 (31.4) | 4 (7.8) | |||
2nd | 1 (1.7) | 15 (25.9) | 36 (62.1) | 6 (10.3) | |||
3rd | 0 (0.0) | 13 (30.2) | 23 (53.5) | 7 (16.3) | |||
Sex | 0.795 | ||||||
Male | 3 (4.3) | 26 (37.1) | 35 (50.0) | 6 (8.6) | |||
Female | 4 (4.9) | 27 (32.9) | 40 (48.8) | 11 (13.4) | |||
Β19 | <0.001 | ||||||
Negative | 7 (4.9) | 53 (37.3) | 72 (50.7) | 10 (7.0) | |||
Positive | 0 (0.0) | 0 (0.0) | 3 (30.0) | 7 (70.0) | |||
EBV | <0.001 | ||||||
Negative | 7 (4.9) | 53 (37.3) | 72 (50.7) | 11 (7.7) | |||
Positive | 0 (0.0) | 0 (0.0) | 3 (33.3) | 6 (66.7) | |||
Presence of high IL-6 expression | p-value | ||||||
No (%) | p-value | cOR (95% CI) | p-value | aOR (95% CI) | |||
Age | 0.003 | ||||||
<25 | 2 (4.5) | Ref. | Ref. | ||||
26-34 | 4 (6.3) | 1.42 (0.25-8.14) | 0.691 | ||||
≥35 | 11 (24.4) | 6.79 (1.41-32.76) | 0.017 | 5.88 (1.68-20.66) | 0.006 | ||
Trimester | 0.419 | ||||||
1st | 4 (7.8) | Ref. | - | ||||
2nd | 6 (10.3) | 1.36 (0.36-5.10) | 0.653 | - | |||
3rd | 7 (16.3) | 2.29 (0.62-8.41) | 0.214 | - | |||
Sex | 0.345 | ||||||
Male | 8 (8.6) | Ref. | - | ||||
Female | 11 (13.4) | 1.65 (0.58-4.73) | 0.349 | - | |||
Β19 | <0.001 | ||||||
Negative | 11 (7.7) | Ref. | Ref. | ||||
Positive | 6 (60.0) | 30.80 (6.89-137.69) | <0.001 | 33.34 (6.42-173.22) | <0.001 | ||
EBV | <0.001 | ||||||
Negative | 11 (7.7) | Ref. | Ref. | ||||
Positive | 6 (66.7) | 24 (5.27-109.32) | <0.001 | 22.38 (4.06-23.29) | <0.001 |
Correlation of IL-1α expression and clinical characteristics is shown in Table
Levels of IL-1α expression in comparison with clinical parameters. High IL-1α expression is associated with the demographic and clinical characteristics of the patients in the study group
IL-1α expression | p-value | |||||
Negative | Low | Medium | High | |||
Age | 0.030 | |||||
<25 | 1 (2.3) | 18 (40.9) | 24 (54.5) | 1 (2.3) | ||
26-34 | 1 (1.6) | 32 (50.8) | 23 (36.5) | 7 (11.1) | ||
≥35 | 0 (0.0) | 16 (35.6) | 18 (40.0) | 11 (24.4) | ||
Trimester | 0.462 | |||||
1st | 1 (2.0) | 25 (49.0) | 20 (39.2) | 5 (9.8) | ||
2nd | 1 (1.7) | 27 (46.6) | 21 (36.2) | 9 (15.5) | ||
3rd | 0 (0.0) | 14 (32.6) | 24 (55.8) | 5 (11.6) | ||
Sex | 0.301 | |||||
Male | 0 (0.0) | 35 (50.0) | 27 (38.6) | 8 (11.4) | ||
Female | 2 (2.4) | 31 (37.8) | 38 (46.3) | 11 (13.4) | ||
Β19 | <0.001 | |||||
Negative | 2 (1.4) | 65 (45.8) | 64 (45.1) | 11 (7.7) | ||
Positive | 0 (0.0) | 1 (10.0) | 1 (10.0) | 8 (80.0) | ||
EBV | <0.001 | |||||
Negative | 2 (1.4) | 66 (46.2) | 64 (44.1) | 12 (8.4) | ||
Positive | 0 (0.0) | 0 (0.0) | 2 (22.2) | 7 (77.8) | ||
Presence of high IL-1a expression | ||||||
No (%) | p-value | cOR (95% CI) | p-value | aOR (95% CI) | p-value | |
Age | 0.006 | |||||
<25 | 1 (2.3) | Ref. | Ref. | |||
26-34 | 7 (11.1) | 5.38 (0.64-45.35) | 0.122 | |||
≥35 | 11 (24.4) | 13.91 (1.71-113.15) | 0.014 | 4.16 (1.27-13.68) | 0.019 | |
Trimester | 0.419 | |||||
1st | 4 (7.8) | Ref. | - | |||
2nd | 6 (10.3) | 1.69 (0.53-5.42) | 0.377 | - | ||
3rd | 7 (16.3) | 1.21 (0.33-4.50) | 0.775 | - | ||
Sex | 0.712 | |||||
Male | 8 (11.4) | Ref. | - | |||
Female | 11 (13.4) | 1.20 (0.45-3.18) | 0.712 | - | ||
Β19 | <0.001 | |||||
Negative | 12 (8.5) | Ref. | Ref. | |||
Positive | 7 (70.0) | 47.64 (8.99-252.34) | <0.001 | 49.16 (8.52-283.75) | <0.001 | |
EBV | <0.001 | |||||
Negative | 12 (8.4) | Ref. | Ref. | |||
Positive | 7 (77.8) | 38.12 (7.11-204.80) | <0.001 | 44.25 (7.70-254.32) | <0.001 |
Correlation of TNF-α expression with clinical characteristics is shown in Table
Levels of TNF-expression in comparison with clinical parameters. High TNF-α expression is associated with the demographic and clinical characteristics of the patients in the study group
TNF-α expression | p-value | ||||||
Negative | Low | Medium | High | ||||
Age | 0.075 | ||||||
<25 | 4 (9.1) | 16 (36.4) | 21 (47.7) | 3 (6.8) | |||
26-34 | 1 (1.6) | 31 (49.2) | 25 (39.7) | 6 (9.5) | |||
≥35 | 1 (2.2) | 12 (26.7) | 24 (53.3) | 8 (17.8) | |||
Trimester | 0.016 | ||||||
1st | 5 (9.8) | 25 (49.0) | 16 (31.4) | 5 (9.8) | |||
2nd | 1 (1.7) | 16 (27.6) | 32 (55.2) | 9 (15.5) | |||
3rd | 0 (0.0) | 18 (41.9) | 22 (51.2) | 3 (7.0) | |||
Sex | 0.721 | ||||||
Male | 3 (4.3) | 26 (37.1) | 31 (44.3) | 10 (14.3) | |||
Female | 3 (3.7) | 33 (40.2) | 39 (47.6) | 7 (8.5) | |||
Β19 | <0.001 | ||||||
Negative | 6 (4.2) | 59 (41.5) | 68 (47.9) | 9 (6.3) | |||
Positive | 0 (0.0) | 0 (0.0) | 2 (20.0) | 8 (80.0) | |||
EBV | <0.001 | ||||||
Negative | 6 (4.2) | 59 (41.3) | 68 (47.6) | 10 (7.0) | |||
Positive | 0 (0.0) | 0 (0.0) | 2 (22.2) | 7 (77.8) | |||
Presence of high TNF-a expression | p-value | ||||||
No (%) | p-value | cOR (95% CI) | p-value | aOR (95% CI) | |||
Age | 0.224 | ||||||
<25 | 3 (6.8) | Ref. | - | ||||
26-34 | 6 (9.5) | 1.44 (0.34-6.09) | 0.621 | - | |||
≥35 | 8 (17.8) | 2.96 (0.73-11.98) | 0.129 | - | |||
Trimester | 0.375 | ||||||
1st | 5 (9.8) | Ref. | - | ||||
2nd | 9 (15.5) | 1.69 (0.53-5.42) | 0.377 | - | |||
3rd | 3 (7.0) | 0.69 (0.16-3.07) | 0.626 | - | |||
Sex | 0.262 | ||||||
Male | 10 (14.3) | Ref. | - | ||||
Female | 7 (8.5) | 0.56 (0.20-1.56) | 0.267 | - | |||
Β19 | 0.005 | ||||||
Negative | 9 (6.3) | Ref. | Ref. | ||||
Positive | 8 (80.0) | 59.11 (10.90-320.40) | <0.001 | 55.08 (10.04-302.25) | <0.001 | ||
EBV | <0.001 | ||||||
Negative | 10 (7.0) | Ref. | Ref. | ||||
Positive | 7 (77.8) | 46.55 (8.52-254.25) | <0.001 | 42.38 (7.39-242.97) | <0.001 |
Spontaneous abortion is pregnancy loss before 20 weeks gestation.[
Until now, many studies have investigated the expression of different inflammatory markers in the placenta and any possible linked adverse pregnancy outcome.[
Viral infections during pregnancy can trigger inflammatory pathways leading to elevated pro-inflammatory cytokine levels. These cytokines have been linked to various pregnancy complications including spontaneous abortions. However, further research is needed in order to establish if viral infections affect other molecular pathways involved with adverse pregnancy outcomes.
The authors have no funding to report.
The authors have declared that no competing interests exist.
The authors have no support to report.