| Literature DB >> 29354635 |
Louise C Kenny1,2,3, Douglas B Kell4,5.
Abstract
Although it is widely considered, in many cases, to involve two separable stages (poor placentation followed by oxidative stress/inflammation), the precise originating causes of preeclampsia (PE) remain elusive. We have previously brought together some of the considerable evidence that a (dormant) microbial component is commonly a significant part of its etiology. However, apart from recognizing, consistent with this view, that the many inflammatory markers of PE are also increased in infection, we had little to say about immunity, whether innate or adaptive. In addition, we focused on the gut, oral and female urinary tract microbiomes as the main sources of the infection. We here marshall further evidence for an infectious component in PE, focusing on the immunological tolerance characteristic of pregnancy, and the well-established fact that increased exposure to the father's semen assists this immunological tolerance. As well as these benefits, however, semen is not sterile, microbial tolerance mechanisms may exist, and we also review the evidence that semen may be responsible for inoculating the developing conceptus (and maybe the placenta) with microbes, not all of which are benign. It is suggested that when they are not, this may be a significant cause of PE. A variety of epidemiological and other evidence is entirely consistent with this, not least correlations between semen infection, infertility and PE. Our view also leads to a series of other, testable predictions. Overall, we argue for a significant paternal role in the development of PE through microbial infection of the mother via insemination.Entities:
Keywords: dormancy; immunology; infection; microbes; preeclampsia; semen
Year: 2018 PMID: 29354635 PMCID: PMC5758600 DOI: 10.3389/fmed.2017.00239
Source DB: PubMed Journal: Front Med (Lausanne) ISSN: 2296-858X
Figure 1A “mind map” (72) of the review. Start at “midnight” and read clockwise.
Figure 2Effective lowering of the normal immunological response to fetal cell trafficking [sometimes referred to as “suppressed” but in fact a highly dynamic state (104, 106)] leads to a normal pregnancy, while its failure can lead to preeclampsia. We note too that other Thelper populations may play roles in the physiologic and pathologic immune interactions between mother and offspring.
Figure 3Matzinger’s “danger model” vs. the classical theory of self vs. self-nonself. Based on and redrawn from Ref. (178).
Changes in the complement system during PE and related pregnancy disorders.
| Complement element | Details | Reference |
|---|---|---|
| Bb | Raised in PE, OR 2.1 (CI 1.4–3.1, | ( |
| Bb | Adjustment for risk factors did not attenuate the association between an elevated Bb and preeclampsia [adjusted odds ratio (aOR) 3.8, 95% CI 1.6–9, | ( |
| Bb | Median Bb levels were higher in the maternal plasma of severe PE subjects ( | ( |
| Bb | Preterm birth. Women with Bb in the top quartile were 4.7 times more likely to have an SPTB less than 34 weeks’ gestation as compared with women who had levels of Bb in the lower 3 quartiles (CI 1.5–14, | ( |
| Bb | Maternal Bb levels were significantly higher in the preeclamptic group than in the nonpreeclamptic group ( | ( |
| Bb | Pyelonephritis. Pregnant women with pyelonephritis had a higher median plasma concentration of fragment Bb than those with a normal pregnancy (1.3 mg/ml, IQR: 1.1–1.9 vs. 0.8 mg/ml, IQR: 0.7–0.9; | ( |
| Bb | Median amniotic fluid Bb levels were also significantly higher ( | ( |
| Bb, C3a, C5a, and MAC | Increased significantly in EOSPE (all | ( |
| Bb or C3a | Women who were obese with levels of Bb or C3a in the top quartile were 10.0 (95% confidence interval, 3.3–30) and 8.8 (95% confidence interval, 3–24) times, respectively, more likely to develop preeclampsia compared with the referent group at 20 weeks gestation | ( |
| C1q and C4d | Increased significantly in LOSPE ( | ( |
| C3a | Adjusted for parity and prepregnancy body mass index, women with levels of C3a in the upper quartile in early pregnancy were three times more likely to have an adverse outcome later in pregnancy compared with women in the lowest quartile (95% confidence interval, 1.8–4.8; | ( |
| C3a | Autoantibody-mediated complement C3a receptor activation contributes to the pathogenesis of preeclampsia. | ( |
| C3a | Women who developed early-onset preeclampsia as compared with the term pregnant controls had significantly higher ( | ( |
| C3a | 751.6 (194.6–1,660) vs. 1,358 (854.8–2,142) ng/mL, | ( |
| C3a, C3a_desArg, and C5a | Elevated at term in PE but not earlier ( | ( |
| C3a, C5a, and AT1-AA | Levels in serum from the severe preeclampsia group were significantly higher than in controls ( | ( |
| C4 | C4 was lowered ( | ( |
| C4d | Placental immunochemistry showed that C4d was rarely present in placentas from healthy controls (3%), whereas it was observed in 50% of placentas obtained from preeclamptic women ( | ( |
| C5a | The mean cord plasma C5a concentration was higher in patients with PE (8.3 ± 1.71 ng/ml) than normal women (3.2 ± 0.35 ng/ml) | ( |
| C5b-9 | Severe preeclampsia was associated with marked elevations in urinary C5b-9 [median and interquartile range, 4.3 (1.2–15.1) ng/mL] relative to subjects with chronic hypertension and healthy controls ( | ( |
| C6 | Novel evidence that genetic variations in complement genes C6 and MASP1 were associated with preeclampsia risk | ( |
Figure 4The complement system [based on figures in Ref. (155, 208)].
Figure 5Some epidemiological risk factors for preeclampsia.
Many studies have identified a much greater prevalence of infectious agents in the blood or urine or gums of those exhibiting PE than in matched controls.
| Microbes | Comments | Reference |
|---|---|---|
| IgG seroprevalence and gDNA associated with PE ( | ( | |
| IgG (but not IgA or IgM) associated with PE, OR = 3.1 | ( | |
| Significantly greater numbers with PE, and reversion under antichlamydial treatment | ( | |
| Much greater incidence ( | ( | |
| OR 4.1; | ( | |
| Increased risk of PE, OR = 7.2 or 1.6 based on serology | ( | |
| Cytomegalovirus | RR for PE 1.5 if infected with CMV | ( |
| Seropositivity or DNA. OR = 2.7, or | ( | |
| IgG seropositivity 54% PE vs. 21% controls | ( | |
| Anti-CagA antibodies cross-react with trophoblasts and could inhibit placentation | ( | |
| 2.8× greater seropositivity in PE group | ( | |
| OR = 2.86 for seropositivity in PE, correlated with high malondialdehyde levels | ( | |
| Wide-ranging review of many studies showing PE more prevalent after | ( | |
| Seropositivity PE:control = 84%:32% ( | ( | |
| OR for seropositivity 1.83 ( | ( | |
| Seropositivity PE:control 86:43% ( | ( | |
| Massive increase in seropositivity in women with PE | ( | |
| Seroprevalence (57%) > controls (33.%) ( | ( | |
| Much greater incidence of antibodies to | ||
| Human immunodeficiency virus (HIV) | OR 3.52, 95% CI 2.51–4.94, some ascribable to therapy | ( |
| Human papillomavirus (HPV) | High-risk human papillomavirus (HR-HPV) presence implies an OR of 2.18 for PE | ( |
| Meta-analyses | Incidence of PE 19% with asymptomatic bacteriuria, vs. 3% (primigravid) or 6% (multigravid) controls ( | ( |
| UTI more than twice as likely in severe preeclamptics than in controls | ( | |
| OR of 1.6 for PE if UTI present | ( | |
| Increased risk of PE OR 1.57 for UTI, 1.76 for periodontal disease | ( | |
| Early application of antibiotics in infection reduced PE by 52% | ( | |
| Any overt infection led to an RR of 2 for PE | ( | |
| UTI has OR of 3.2 for PE; OR = 4.3 if in third trimester | ( | |
| UTI has OR of 1.3 for mild/moderate and 1.8 for severe PE | ( | |
| Increased risk of PE with UTI (OR 1.22) or antibiotic prescription (OR 1.28) | ( | |
| OR of 6.8 for symptomatic bacteriuria in PE vs. controls | ( | |
| OR 1.3–1.8 of mild or severe PE if exposed to UTI | ( | |
| OR 1.4 for PE following UTI | ( | |
| OR 1.3 for PE after UTI | ( | |
| Meta-analyses showing associations between PD and PE | ( | |
| High frequency of neutropenia and sepsis in preeclamptic mothers | ( | |
| OR 2.79, CI 2.01–3.01, | ( | |
| Periodontitis at enrollment (OR = 5.78, 95% CI 2.41–13.89) and within 48 h of delivery (OR = 20.15, 95% CI 4.55–89.29) is associated with an increased risk of preeclampsia | ( | |
| Periodontitis associated with PE: OR 7.48 (CI 2.72–22.42) | ( | |
| Review | ( | |
| Placental microbiome and PE | Many organisms in 13% of PE placentas vs. none in controls ( | ( |
| Indications that infection with malaria is associated with PE | ( | |
| 1.5 RR for PE if malarial | ( | |
| Seasonality: 5.4-fold increase in eclampsia during malaria season | ( | |
| Preeclampsia was significantly associated with malaria infection during pregnancy ( | ( | |
Organisms of well-known sexually transmitted diseases that have been associated with semen.
| Organism (disease) | Comments | Reference |
|---|---|---|
| Effects on fertility | ( | |
| 32% prevalence in infertile couples | ( | |
| Human Immunodeficiency Virus (AIDS) | Many examples of seminal transmission | ( |
| Gonorrhea actually means “flow of semen” | ( | |
| Survives being frozen in semen used for artificial insemination | ( | |
| Many antigonococcal antibodies also present | ( | |
| Same strains in urine and semen; likely origin in urethra | ( | |
| Infectivity of semen | ( | |
| More than half (12 out of 20) of the women classified as proved and probably syphilitic had mild to moderate PE | ( | |
| Coinfection of syphilis and HIV in men having sex with men | ( | |
Some examples of the semen microbiome and reproductive biology.
| Study | Organisms | Reference |
|---|---|---|
| Complementarity between partners | Many. | ( |
| Fertility | Many microbiological changes as a function of fertility (more microbes correlate with lower fertility) | ( |
| General microbiology | 552 different microbes in 182 samples out of 201 tested, simply plating 10 µL of semen | ( |
| Microbes in 36/37 samples | ||
| Review | ( | |
| 35% of samples had microbes | ( | |
| ( | ||
| IVF | No positive antibiotic effect | ( |
| LPS and protection by probiotic lactobacilli | (purified LPS) | ( |
| Review | Many microbes | ( |
| Semen quality | ( | |
| Viral infection | Ebola virus | ( |
| HIV | ||
| Zika virus | ( | |
| ( | ||
Protective events of vaccines against various adverse pregnancy outcomes.
| Adverse event | Risk or odds ratio (95% confidence interval) of vaccinated:unvaccinated | Reference |
|---|---|---|
| OR = 0.39 (0.18–0.83) | ( | |
| 0.56 (0.45–0.70) | ( | |
| 0.60 0.38–0.94 | ( | |
| 0.28 (0.11–0.74) during epidemic | ||
| 0.63 (0.47–0.84) | ( | |
| IUGR | 0.15 (0.02–0.94) | ( |
| 0.36 (0.17–0.78) | ( | |
| 0.31 (0.13–0.75) | ( | |
| 0.63 (0.4–1.0) | ( | |
| Stillbirth | 0.73 (0.55–0.96) | ( |
Figure 6Some cardiolipin structures.
Figure 7Possible relationships between cardiolipin exposure and disease sequelae.