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Logo of nihpaAbout Author manuscriptsSubmit a manuscriptHHS Public Access; Author Manuscript; Accepted for publication in peer reviewed journal;
 
J Infect Dis. Author manuscript; available in PMC 2009 October 12.
Published in final edited form as:
PMCID: PMC2760295
NIHMSID: NIHMS149684

Placental hypoxia during placental malaria

Abstract

Background

Placental malaria causes fetal growth retardation (FGR), which has been linked epidemiologically to placental monocyte infiltrates. We investigated whether parasite or monocyte infiltrates were associated with placental hypoxia, as a potential mechanism underlying malarial FGR.

Methods

We studied the hypoxia markers hypoxia inducible factor (HIF)-1α, vascular endothelial growth factor (VEGF), placental growth factor, VEGF receptor 1 and its soluble form and VEGF receptor 2. We used real time PCR (in 59 women) to examine gene transcription, immunohistochemistry (in 30 women) to describe protein expression and laser capture microdissection (in 23 women) to examine syncytiotrophoblast-specific changes in gene expression. We compared gene and protein expression in relation to malaria infection, monocytes infiltrates and birth weight.

Results

we could not associate any hallmark of placental malaria with a transcription, expression or tissue distribution profile characteristic of a response to hypoxia but found higher HIF-1α (P=.0005) and lower VEGF levels (P=.0026) in the syncytiotrophoblast of malaria cases versus asymptomatic controls.

Conclusion

our data are inconsistent with a role for placental hypoxia in the pathogenesis of malaria-associated FGR. The laser capture microdissection study was small, but suggests that malaria affects syncytiotrophoblast gene transcription, and proposes novel potential mechanisms for placental malaria-associated FGR.

Keywords: Malaria, placenta, hypoxia, birth weight, growth restriction

INTRODUCTION

Placental malaria (PM) is characterised by the presence of malaria-infected erythrocytes in placental blood and is associated with both fetal and maternal mortality and morbidity [1, 2]. In particular, PM is a major preventable cause of low birth weight (LBW) and it is estimated that 200,000 children die as a result of PM-associated LBW every year [3]. In malaria endemic areas, LBW is mainly due to fetal growth restriction (FGR) rather than to pre-term delivery [1, 4] but causes of this FGR remain unknown.

Placental hypoxia is an important cause of FGR, as shown by studies of high altitude pregnancies (in which hypoxia is hypobaric in aetiology [5]) or pre-eclampsia (in which placental insufficiency causes tissue hypoxia [6]). To date, there is no published study on the role of placental hypoxia in PM-associated FGR despite clinical, pathological and biological similarities between PM and pre-eclampsia (reviewed in [7]), and a long-proposed pathogenic role for placental hypoxia in PM-associated FGR. It has been suggested that some histopathological characteristics of PM including thickening of basal membranes [8] and infiltration of monocytes in the intervillous spaces of the placenta (intervillositis) [911] could increase barriers to oxygen transport across the placenta [12]. It also has been postulated that the intervillous accumulation of inflammatory cells and infected erythrocytes could lead to placental and fetal hypoxia either by consumption of oxygen by the infiltrated cells or by decreasing blood perfusion and effective surface area for materno-fetal exchange [13, 14]. Such placental dysfunctions could directly affect fetal development and lead to FGR [15, 16]. Increased syncytial knotting, which is considered to be a physiological adaptation to hypoxia [17], has been reported in malaria-infected placentae [18].

Hypoxia alters cellular gene transcription profiles. A central hypoxia-responsive gene is the transcription factor Hypoxia Inducible Factor 1 (HIF-1), a heterodimer of inducible HIF-1α and constitutive HIF-1β, which controls cellular response to hypoxia. Under normoxic conditions, HIF-1α protein is degraded by O2-dependent ubiquitination and targeting to the proteasome [1921]. In hypoxic tissues, HIF-1α protein is stabilised and can bind HIF-1β to form an active transcription factor that will alter the transcription of growth factor genes involved in regulation of angiogenesis [22]. In particular, hypoxia is associated with increased transcription of several molecules in placental tissue or cell lines, including vascular endothelial growth factor (VEGF) [23], Flt-1 (fems-like tyrosine kinase, or VEGFR1) [24] and its soluble form sFlt-1 [25], and decreased transcription of placental growth factor (PlGF) [26]. Expression of the proteins VEGFR2 (or fetal liver kinase-1/kinase insert domain-containing receptor (Flk-1/KDR)) [24, 27] and HIF-1α [28] is also up regulated under hypoxic conditions in placental tissue.

In order to test the hypothesis that placental hypoxia has a role in the pathogenesis of PM-associated FGR, we investigated whether placental malaria infection, intervillositis and LBW were associated with an expression profile characteristic of a response to hypoxia in normotensive pregnant women.

MATERIALS AND METHODS

1. Participant recruitment

This study was approved by the College of Medicine Research Committee at the University of Malawi. From November 2001 until April 2005, placental tissue samples were collected from women who delivered at Queen Elizabeth Central Hospital in Blantyre, Malawi, and who were participating in a study of interactions between HIV and PM. [29]. For the present study, samples were selected from HIV uninfected participants on the basis of normal Apgar scores at 1 and 5 minutes and the absence of maternal complications (other than placental malaria) such as hypertension, pre-eclampsia, chorioamnionitis or maternal anaemia. Placental histology was examined to classify eligible women into four groups: past malaria (malaria pigment deposits but no parasites; these women were not included in the present study), malaria uninfected, malaria parasites without pigment containing monocytes, and malaria parasites with pigment containing monocytes. A sample size of 60 was selected based on a previous study [30] in which highly significant differences in placental chemokine mRNA were found between groups stratified by malaria and monocyte densities. Within groups, women with the highest parasite or monocyte densities were selected from those with available samples.

2. Tissue sampling and handling

Placental tissue samples were taken near the centre of the placenta within 20 minutes post-delivery. One set of samples was snap-frozen in liquid nitrogen for RNA extraction, another set was embedded in OCT medium before being frozen at −80°C for laser capture microdissection and a last set was fixed in buffered formalin for immunohistochemistry and malaria infection grading.

3. Laboratory and pathology testing

Peripheral blood malaria infection was assessed on thick blood films stained with Field’s stain. Formalin-fixed placental biopsies were examined and presence and density of malaria parasitemia and presence of malaria pigment (hemozoin) were noted. In women with malaria, the density of intervillous space monocyte infiltrates was recorded, as described [9]. Biopsies were examined for chorioamnionitis as described [31]. Maternal hemoglobin concentration was determined by HemoCue hemoglobinometer (HemoCue, Ängelholm, Sweden). LBW was defined as a birth weight lower than 2500g.

4. Real time RT-PCR

Snap-frozen placental tissue was thawed in RNAlater-ICE (Ambion) according to supplier’s recommendations before being homogenized in Trizol RNA extraction reagent (Invitrogen) using a tissue homogeniser (Polytron). RNA extraction was conducted following supplier’s recommendations. The total cellular RNA obtained was resuspended in RNase-free water (Ambion) and kept at −80°C until use. RNA was reverse transcribed using Superscript III enzyme mix (InVitrogen) in a 20μL reaction volume following supplier’s recommendations. The cDNA was diluted 1 in 4 in DNase-free water and kept at −20°C.

Primers were either found in the literature or designed using Primer Express software and all were validated for use with SYBR Green chemistry on an ABI 7900HT real time PCR machine (all from Applied Biosystems). Data were analysed as previously described [32]. Briefly, RNA standards were synthesised for each gene and added to a pool of cellular RNA to be used as external standards. Up to three housekeeping genes validated for their use in placental comparative expression studies [33] were used as internal standards. They include the TATA box binding protein (TBP), the succinate dehydrogenase complex, subunit A (SDHA) and the tyrosine 3-monooxygenase/tryptophan 5-monooxygenase activation protein, zeta polypeptide (YWHAZ). Target gene signals were normalised to the geometric mean of the three housekeeping genes for accuracy and reliability as recommended by various authors [33, 34].

5. Laser capture microdissection

The syncytiotrophoblast layer of uninfected placentae (n=6) and P. falciparum-infected placentae with (n=10) or without (n=7) intervillositis was isolated using laser capture microdissection. These cases were selected on the basis of availability of additional placental samples, from within our group of 59 women studied at the whole tissue level. All available samples were used. Five to 7μm-thick tissue cryosections were immobilised on SuperFrost PLUS slides (Fisher) and air-dried for 10 min. before 10 min. of acetone treatment to fix the tissue. After re-hydration in DEPC-treated water, sections were lightly stained with methyl green (Sigma-Aldrich), and then dehydrated in ethanol and cleared in xylene. Slides were kept in a desiccator until capture. Capture was done by LMPC (Laser Microdissection and Pressure Catapulting) using a MicroBeam microscope (P.A.L.M. Microlaser Technologies). Captured material was catapulted directly into RNA extraction buffer (RLT buffer with β-mercaptoethanol, Qiagen) and RNA extraction was conducted using the RNeasy Micro Kit (Qiagen) according to the supplier recommendations. Purified RNA was eluted in RNase-free water (Ambion) and kept at −80°C until use.

6. Immunohistochemistry

Immunohistochemistry was conducted on 5μm-thick paraffin-embedded tissue sections immobilised on silanized slides. Depending on the target, epitope retrieval was achieved using either 10mM citrate buffer for KDR and VEGF or Target Retrieval Solution (Dako) for PlGF, HIF-1α and Flt-1. After quenching the endogenous peroxidase by 20 min. incubation in 0.5% H2O2 in water, sections were incubated for one hour with primary antibodies. Mouse monoclonal anti-HIF-1α (clone ESEE122 at 1/8000; Novus Biologicals), rabbit polyclonal anti-PlGF (CPP500 at 1/50; Cell Sciences), rabbit polyclonal anti-VEGF (sc-152 at 1/200), mouse monoclonal anti-KDR (sc-6251 at 1/100) or rabbit polyclonal anti-Flt-1 (sc-316 at 1/500), all from Santa Cruz were diluted in antibody diluent (S0809, Dako). After washing in PBS, biotinylated secondary antibodies were added for 30 minutes: polyclonal rabbit-anti-mouse (E0354 at 1/300 for KDR), polyclonal swine anti-goat, mouse, rabbit (E0453 at 1/300 for VEGF and PlGF) or polyclonal goat-anti-rabbit (E0432 at 1/300 for Flt-1), all from Dako. Biotinylated secondary (E0354 at 1/600) and tertiary (polyclonal swine anti-goat, mouse, rabbit; E0453 at 1/200) antibodies were used for HIF-1α detection. For different cell types, intensity and consistency of the staining was scored by two independent microscopists blinded for the clinical presentation (PB and CR) and averaged on 20 microscopic fields. Intensity scores ranged from 0 (no staining) to 3 (very intense staining) and consistency was scored from 0 (no cell stained) to 3 (more than 2/3 of the cells stained) [35].

7. Statistical tests

Numerical values were compared between two groups using Mann-Whitney’s test and between three groups using Kruskal-Wallis’ test. Immunohistochemistry scores (detailed above) were compared across groups using Mann-Whitney’s test. All analysis was done on Stata 8.0 software. P values of less than 0.05 were considered as significant.

RESULTS

1. Participants’ characteristics

The characteristics of the participants whose samples were used in the RT-PCR analysis are summarised in table 1A. Thirty-five women with active placental malaria and 24 uninfected controls were included. Of women with placental malaria, 22/35 (63%) had intervillositis, and 8/35 (23%) had LBW babies. None of the uninfected women had intervillositis and only one delivered a LBW baby (figure 1A). Despite statistical differences in gestational age, these were ignored since all deliveries were within the normal range for term deliveries.

Figure 1
Clinical characteristics of the participants
Table 1
Participants’ characteristics

When malaria cases were separated on the basis of the presence/absence of intervillositis, babies from uninfected women and infected women without intervillositis had similar birth weights (P=.86) but the patients with intervillositis delivered significantly lighter babies than infected women without intervillositis (P=.027) and than uninfected women (P=.007).

2. Transcription profiles are not characteristic of a response to hypoxia

Quantitative real time RT-PCR was conducted to look for an increase in HIF-1α, VEGF, Flt-1 and sFlt-1 and a decrease in PlGF transcripts levels in malaria-infected samples, which would be a signature of tissue hypoxia. First, the quality of the extracted RNA was assessed by automated electrophoresis on RNA LabChipR (Bio-Rad). All the samples included in the study had a ribosomal RNA 28s/18s ratio higher than 1 (data not shown).

No difference was found in transcripts levels for any of the markers when comparing controls with malaria cases or between malaria cases with or without intervillositis (figure 2A). Samples were then classified according to other clinical or biological features of PM: intervillositis (regardless of malaria infection – data not shown) and LBW (figure 2B). Again, there was no difference in transcription profiles between groups for any classification criteria.

Figure 2
Transcription profiles of the different clinical groups

These results suggest that none of the clinical or biological features of PM is specifically associated with placental hypoxia.

3. Laser capture microdissection reveals differences in transcription profiles

Since monocytes can produce some of the markers quantified [36, 37], the presence of intervillositis in only a portion of the samples is a potential bias when comparing groups. Using laser capture microdissection, we specifically addressed the transcription profile of the syncytiotrophoblast layer (figure 3A).

Figure 3
SCT-specific transcription profile using laser capture microdissection

When controls were compared to malaria cases (regardless of the presence or absence of intervillositis), lower VEGF (P=.0026) and higher HIF-1α (P=.0005) transcripts levels in the SCT of infected placentae compared to control placentae were the only statistical differences noted. Differences in VEGF SCT levels did not reach significance (P=.49) when malaria cases were split according to the presence/absence of intervillositis (figure 3B). HIF-1α SCT levels were similar between malaria cases with or without intervillositis (P=.70) but higher than control placentae (P=.0001 and P=.0027 respectively). Classification of the samples on the basis of the presence/absence of intervillositis (regardless of malaria infection – data not shown) or birth weight (figure 3C) did not yield any statistical differences. Taken together, these data suggest that SCT transcription profile is not typical of a response to hypoxia but do indicate differences which were not detected when addressing placental tissue as a whole. Moreover, these differences appear to be associated with presence of malaria infection, and not specifically with intervillositis, as they were present whether monocytes infiltrates were detected or not.

4. Protein expression and tissue distribution is not characteristic of a response to hypoxia

To further validate these findings and look for a potential difference in protein expression and tissue distribution of the different hypoxia markers, we determined the protein expression profiles of the different samples using immunohistochemistry (IHC). Characteristics of the patients included in the IHC experiments are summarised in table 1B. Only 2 patients delivered LBW babies (figure 1B). All groups are comparable for every criterion (except the ones used for classification such as birth weight), whatever the classification used (P≥.057).

a. Both microscopists found similar patterns

We determined VEGF, Flt-1, KDR, PlGF and HIF-1α expression and tissue distribution for each placental tissue sample (figure 4). Both microscopists found the same expression and distribution profiles for each marker (data not shown). Results are provided in supplementary table 2.

Figure 4
Examples of immunohistochemistry staining

b. Protein expression and tissue distribution patterns do not correspond to those reported for hypoxic tissue

When samples were classified into controls and malaria cases, no difference in consistency or intensity of staining was found for any of the markers in any cell type. No difference was found when malaria cases were split according to the presence/absence of intervillositis, or when samples were classified according to birth weight. However, when samples were classified according to the presence/absence of intervillositis, a more intense (P=.037) and consistent (P=.041) VEGF staining in the villous stroma was found in samples with intervillositis. However, these differences were not statistically significant after Bonferroni adjustment (P>.01). Staining patterns did not differ between these two groups for any other marker.

Taken together, transcription and expression profiles suggest that PM is not associated with placental hypoxia, and neither are LBW or intervillositis.

DISCUSSION

It has been long suggested that placental hypoxia could play a role in PM-associated FGR but direct evidence for such a role has been lacking. We tested this hypothesis by looking for molecular evidence of placental hypoxia in PM.

Cellular response to hypoxia is orchestrated by the transcription factor HIF-1, which modifies the expression of several genes, in particular angiogenic factors. Using a very reliable and sensitive quantitative real time RT-PCR approach, we could not associate any clinical or biological features of PM with a transcription profile characteristic of a molecular response to hypoxia when addressing the whole placental tissue.

The absence of transcriptional evidence for placental hypoxia in PM was further substantiated by the lack of association between the clinical and biological features of PM and expression patterns of hypoxia-specific markers as evidenced by immunohistochemistry. The staining patterns obtained were similar to those previously described [27, 28, 38, 39]. When we used a previously validated scoring process [35] to quantify the expression of these markers, we found no evidence for a hypoxia-specific expression pattern in any of the groups. Because only 2 samples were classified as LBW, we also used an alternative definition of LBW as a birth weight lower than the 5th centile of a normal foetal growth curve [40] to compare appropriate (n=32) and small (n=7) for gestational age infants and showed that they had similar IHC profiles (data not shown).

Taken together, these results strongly argue against a role for placental hypoxia in PM pathogenesis.

In contrast to a recent study that showed that PM was associated with an increase in sFlt-1 mRNA levels in normotensive primigravidae and in malaria-infected placentae with intervillositis compared with control placentae [41], we did not find any difference in sFlt-1 RNA levels between the different groups when addressing either the whole tissue or specifically the SCT. Differences in the recruitment criteria (we focused on normotensive women, and included all gravidities, rather than just primigravidae) and in the technical approaches used (the Flt-1 antibody we used only recognizes the membrane-bound form, unlike the ones the authors used which binds both membrane-bound and soluble forms) could explain these conflicting results. Moreover, each study was relatively small (around 60 women), and suffers from some limitations in power. Further investigation of the interactions between malaria and hypertension and pre-eclampsia in first pregnancies may be warranted.

Since all the samples in our cohort presented similar transcription and expression profiles, it was possible that they could all be hypoxic as a consequence of labour or tissue handling. However, since we included only placentae from children with a normal Apgar score, labour-induced acute hypoxia is unlikely. Moreover, since HIF-1α transcript levels have been shown to change very rapidly after the onset of cellular hypoxia, if all samples had suffered from hypoxia as a consequence of labour or tissue handling, all would have expressed similar levels of HIF-1α transcript. But we did find a difference in HIF-1α SCT transcript levels between malaria-infected placentae and controls, which further rules out the possibility of a general labour-induced hypoxia.

The increased HIF-1α transcript levels in the SCT of malaria-infected placentae could reflect local inflammation [42]. Indeed, hypoxia-induced HIF-1α up-regulation is thought to occur at the level of protein stability (post-transcriptional). Thus, higher HIF-1α transcript levels in the syncytium of malaria-infected placentae are likely to be a consequence of local inflammation that could be both the underlying cause of the molecular and protein changes noted, and the driving force behind malaria-associated LBW. Because similar HIF-1α transcripts levels were found in malaria cases in the presence or absence of monocyte infiltrates, which are markers of chronic inflammation, the increase in HIF-1α transcript levels might be due to a more acute inflammation or to the presence of infected erythrocytes. Testing of this hypothesis requires further study.

We could not associate any of the biological or clinical features of PM with a transcription or expression profile characteristic of a response to hypoxia. This argues against a role for placental hypoxia in PM-associated FGR pathogenesis. Although the role of placental hypoxia in the pathogenesis of FGR has been well described, particularly in animal models [43], it is not universally implicated in FGR. For example, in several studies there was no difference in the expression of VEGF between normal and FGR-affected placentae [4446].

Our study does not rule out the possibility of fetal hypoxia, which could decrease fetal growth. Kingdom and Kaufmann described a situation leading to fetal hypoxia in the absence of placental hypoxia when the fetoplacental perfusion is inadequate. This is known as post-placental hypoxia [47]. However, one study did not find evidence of FGR-associated fetal hypoxia [47]. Thus, assessment of placental and fetal blood flow throughout pregnancy [48] combined with arterial gas analysis of cord blood appears to be essential to adequately address the impact of a potential fetal hypoxia on intra-uterine growth during PM.

Table 2
Immunohistochemistry scoring

Acknowledgments

Authors wish to thank the women who participated in the study and the medical staff at Queen Elizabeth Central Hospital in Blantyre, Malawi. This study was funded by The Wellcome Trust (Senior Fellowship to SJR) and the NHMRC. Francois Lacoste is acknowledged for his support.

Footnotes

The authors declare not to have any conflict of interest.

Part of this work has been presented at the IFPA 2006 (poster) and ICOPA XI (oral presentation) meetings.

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