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The Journal of Clinical Investigation logoLink to The Journal of Clinical Investigation
. 2016 Nov 14;126(12):4702–4715. doi: 10.1172/JCI89031

Early pregnancy vitamin D status and risk of preeclampsia

Hooman Mirzakhani 1, Augusto A Litonjua 1,2, Thomas F McElrath 3, George O’Connor 4, Aviva Lee-Parritz 5, Ronald Iverson 5, George Macones 6, Robert C Strunk 7, Leonard B Bacharier 7, Robert Zeiger 8, Bruce W Hollis 9, Diane E Handy 10, Amitabh Sharma 1, Nancy Laranjo 1, Vincent Carey 1, Weilliang Qiu 1, Marc Santolini 1,11, Shikang Liu 12, Divya Chhabra 13, Daniel A Enquobahrie 14, Michelle A Williams 15, Joseph Loscalzo 16, Scott T Weiss 1,17
PMCID: PMC5127689  PMID: 27841759

Abstract

BACKGROUND. Low vitamin D status in pregnancy was proposed as a risk factor of preeclampsia.

METHODS. We assessed the effect of vitamin D supplementation (4,400 vs. 400 IU/day), initiated early in pregnancy (10–18 weeks), on the development of preeclampsia. The effects of serum vitamin D (25-hydroxyvitamin D [25OHD]) levels on preeclampsia incidence at trial entry and in the third trimester (32–38 weeks) were studied. We also conducted a nested case-control study of 157 women to investigate peripheral blood vitamin D–associated gene expression profiles at 10 to 18 weeks in 47 participants who developed preeclampsia.

RESULTS. Of 881 women randomized, outcome data were available for 816, with 67 (8.2%) developing preeclampsia. There was no significant difference between treatment (N = 408) or control (N = 408) groups in the incidence of preeclampsia (8.08% vs. 8.33%, respectively; relative risk: 0.97; 95% CI, 0.61–1.53). However, in a cohort analysis and after adjustment for confounders, a significant effect of sufficient vitamin D status (25OHD ≥30 ng/ml) was observed in both early and late pregnancy compared with insufficient levels (25OHD <30 ng/ml) (adjusted odds ratio, 0.28; 95% CI, 0.10–0.96). Differential expression of 348 vitamin D–associated genes (158 upregulated) was found in peripheral blood of women who developed preeclampsia (FDR <0.05 in the Vitamin D Antenatal Asthma Reduction Trial [VDAART]; P < 0.05 in a replication cohort). Functional enrichment and network analyses of this vitamin D–associated gene set suggests several highly functional modules related to systematic inflammatory and immune responses, including some nodes with a high degree of connectivity.

CONCLUSIONS. Vitamin D supplementation initiated in weeks 10–18 of pregnancy did not reduce preeclampsia incidence in the intention-to-treat paradigm. However, vitamin D levels of 30 ng/ml or higher at trial entry and in late pregnancy were associated with a lower risk of preeclampsia. Differentially expressed vitamin D–associated transcriptomes implicated the emergence of an early pregnancy, distinctive immune response in women who went on to develop preeclampsia.

TRIAL REGISTRATION. ClinicalTrials.gov NCT00920621.

FUNDING. Quebec Breast Cancer Foundation and Genome Canada Innovation Network. This trial was funded by the National Heart, Lung, and Blood Institute. For details see Acknowledgments.

Introduction

Preeclampsia is a multisystem complex disease of pregnancy with grave maternal-fetal and neonatal consequences that complicates up to 8% of pregnancies (1, 2). Low vitamin D status, among other risk factors, is linked to the development of preeclampsia. Systematic reviews and meta-analyses have concluded that low serum vitamin D levels (25-hydroxyvitamin D [25OHD]) in pregnancy are associated with a higher risk of preeclampsia and suggest a preventive role of vitamin D supplementation (36). However, a recent meta-analysis of the 3 vitamin D supplementation randomized clinical trials (RCTs) on pregnancy outcomes found no association between increased serum vitamin D levels and preeclampsia risk (7). Although these studies vary in the dose of vitamin D supplementation (400–4,000 IU/day) and in the baseline and attained vitamin D levels, it is most important to note that all of the RCTs started the intervention after 20 weeks of gestation. It is noted that this meta-analysis did not include the results of the National Institute of Child Health and Development (NICHD) trial that started vitamin D supplementation before 20 weeks of gestation (8). A meta-analysis of the abnormal maternal biomarkers found during the first trimester of pregnancy in women who developed preeclampsia and the findings of previous studies on the association of preeclampsia and low vitamin D status in early pregnancy suggest the necessity of early serum vitamin D level surveillance and modification in pregnancy (5, 9). As such, our trial, the Vitamin D Antenatal Asthma Reduction Trial (VDAART), investigated the effect of early pregnancy vitamin D supplementation and both early and late pregnancy 25OHD levels on the risk of preeclampsia, one of the a priori–defined outcomes of the trial.

Previous investigations have also shown the effect of vitamin D levels on peripheral blood gene expression during pregnancy and in preeclampsia (10, 11). Global gene expression profiling has the potential to identify representative pathway genes that might point to the underlying molecular mechanism of preeclampsia (1215). Therefore, we performed a nested case-control study in the VDAART to identify vitamin D gene signatures related to preeclampsia during early pregnancy. There is increasing evidence that disease signature and causal genes do not distribute randomly on the molecular interaction network (interactome), but rather interact in similar biological pathways (16, 17). Accordingly, we applied a molecular interaction network approach using information from differential expression and a protein-protein interaction network to identify interacting key drivers (preeclampsia module) of the vitamin D gene signatures.

Results

Low vitamin D status in early pregnancy and throughout is associated with a higher risk of preeclampsia.

Of 9,268 women who were screened, 881 were randomized. After exclusion of 5 ineligible women, 440 were assigned to receive vitamin D and 436 to receive placebo (Figure 1). A total of 32 women in the treatment group and 28 in the placebo group (60 of 876, 6.8% overall) were lost to follow-up.

Figure 1. VDAART preeclampsia CONSORT diagram.

Figure 1

Among the baseline characteristics, gravidity was significantly different between the 2 study groups (Table 1). Vitamin D levels during the third trimester in the treatment group amounted to 39 ± 15 ng/ml versus 27 ± 11 ng/ml in the placebo group (P < 0.0001). No side effects or adverse events were reported in association with vitamin D supplementation. Preeclampsia occurred in 33 women in the treatment group (8.08%) as compared with 34 women in the placebo group (8.33%) (relative risk [RR], 0.97; 95% CI, 0.61–1.53). While vitamin D supplementation increased 25OHD levels in the third trimester, no reduction in the rate of preeclampsia was seen in the vitamin D treatment group as compared with that in the placebo group. However, women who had sufficient vitamin D levels (at least 30 ng/ml) in both early and late pregnancy, regardless of treatment group, showed a significantly lower incidence of preeclampsia as compared with those who had an insufficient level at these time points (2.25% vs. 11.92%; RR, 0.20; CI, 0.06–0.66; P < 0.008). Within the treatment and placebo control groups, trends toward a decreased occurrence of preeclampsia were observed among women who had sufficient vitamin D status (≥30 ng/ml) in both early and late pregnancy (high-high 25OHD: odds ratio [OR], 0.6; CI, 0.35–1.06; P = 0.08 and OR, 0.35; CI, 0.16–0.78; P = 0.01, respectively). The pooled estimate of the OR in the intention-to-treat (ITT) population was 0.55 (CI, 0.37–0.82; P < 0.003). After covariate adjustment (Table 2), women with sufficient vitamin D concentrations at both 10 to 18 and 32 to 38 weeks of gestation had a substantially reduced risk of preeclampsia (adjusted OR, 0.28; CI, 0.08–0.96; P = 0.04). 25OHD serum concentrations in early pregnancy were a predictor of preeclampsia (adjusted OR, 0.96; CI, 0.93–0.99; P =0.025), such that a 10-, 20-, or 30-unit increase (ng/ml) was associated with a 33%, 54%, and 70% reduction in the risk of preeclampsia, respectively (adjusted OR10-unit = 0.67; 95% CI, 0.47–0.95; adjusted OR20-unit = 0.46; 95% CI, 0.22–0.90; adjusted OR30-unit = 0.30; 95% CI, 0.16–0.85, respectively). No occurrence of preeclampsia was noted in women with a baseline serum value above 37 ng/ml. Accordingly, the adjusted estimated probability of preeclampsia was less than 0.05 at an approximate vitamin D serum level of 40 ng/ml (100 nmol/l) during early pregnancy (Figure 2).

Table 1. Baseline maternal characteristics in the VDAART.

graphic file with name jci-126-89031-g007.jpg

Table 2. Logistic regression; effects of treatment arm and vitamin D levels on preeclampsia.

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Figure 2. Dose-response association between maternal serum 25OHD concentrations at 10 to 18 weeks of gestation and the corresponding predicted probability of preeclampsia derived from a logistic regression model adjusted for the identified confounders (Table 2).

Figure 2

The gray zone indicates 0.95 confidence bands (Npreeclampsia= 67, Nhealthy = 749). The minimum predicted risk for the population under study relative to the distribution of pregnant women (vertical tick marks on the x axis) falls at the concentrations of 40 to 50 ng/ml serum vitamin D.

Early pregnancy vitamin D status modulates the expression of preeclampsia transcriptome signatures.

Marginal comparisons of distributions of maternal age, race, and gestational age at enrollment in the VDAART discovery or replication cohort were consistent with the effectiveness of the matching procedures used (all P > 0.05, minimum P = 0.12; Table 3). 25OHD serum levels were significantly lower in women in the VDAART discovery cohort who developed preeclampsia (P = 0.004). Overall, in the discovery cohort, 119 subjects had insufficient vitamin D status (<30 ng/ml, 41 with preeclampsia), and 38 subjects had sufficient vitamin D status (≥30 ng/ml, 6 positive for preeclampsia), respectively (Figure 3). In the VDAART cohort, 2,829 genes were identified as differentially expressed among women with 25OHD levels dichotomized at 30 ng/ml (1,081 upregulated). The pregnant women who developed preeclampsia had 1,547 genes (611 upregulated) that were differentially expressed relative to those of controls. The intersection of the vitamin D gene signatures and the preeclampsia gene signatures represented vitamin D gene signatures associated with preeclampsia, i.e., 1,323 unique genes (592 upregulated). Of these genes, 348 (158 upregulated) were differentially expressed in peripheral blood in preeclamptic subjects versus controls in the OMEGA study (marginal per gene, P < 0.05, Figure 3 and Supplemental Table 1; supplemental material available online with this article; doi:10.1172/JCI89031DS1). From the total 348 replicated differentially expressed genes, 33 genes were identified in a database search, and manual curation of the literature revealed an additional 107 genes with a prior known association with preeclampsia (140 of 348, 40.23%; Supplemental Table 2). The replicated gene signatures also showed tissue-specific enrichment in placenta (P < 0.0001); according to the Human Protein Atlas, 181 genes had evidence of an expression value in placenta (placenta signatures: 181 of 348 [52.01%], 68 in decidua [19.54%], 15 in trophoblast [4.31%], and 98 [28.16] in both; Figure 4 and Supplemental Table 3).

Table 3. Clinical characteristics of the genomic study cohorts.

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Figure 3. Gene expression study flow chart.

Figure 3

Summary of analysis approach and findings on gene expression analysis, through discovery and replication stages. Gene expression study was conducted using RankPord to identify differentially expressed genes in both discovery and replication cohorts (N = 157 and 30, respectively). PE, preeclampsia; DE, differentially expressed; VDGS, vitamin D gene signatures; PEGS, preeclampsia gene signatures; VDGSPE, vitamin D gene signatures associated with preeclampsia; rVDGSPE, replicated vitamin D gene signatures associated with preeclampsia; PPI, protein-protein interaction.

Figure 4. Functional annotation, tissue specificity, and PPI network mapping of vitamin D signatures associated with preeclampsia obtained from the gene expression study.

Figure 4

GO functional enrichment analysis was based on a hypergeometric test with an FDR adjustment for multiple testing of the identified pathways.

Interactome mapping demonstrates interacting immunomudulatory gene signatures in early pregnancy in women who develop preeclampsia.

Three hundred two of three hundred forty-eight (86.78%) replicated differentially expressed genes were mapped onto the interactome and demonstrated local clustering in the network (preeclampsia module vs. random expectation, P <0.0001; Figure 5). We identified the “observable preeclampsia module” consisting of 143 genes with 552 connections, among them IL8 (also known as CXCL8), MX1, HLA-DP1A, HLA-DBQB1, MMP9, RPL31, ACTA2, IFI44L, and SERPING1, all of which were previously reported to be in association with preeclampsia (Supplemental Table 2) and showed the highest degree of connectivity in the interactome. This module was significantly close to known signaling pathways for both IL-10 and vitamin D (Z scores –8.6 and –3.8, respectively, P ≤ 0.0001; Figure 6 and Table 4). Gene ontology (GO) enrichment analysis linked the 348 replicated gene signatures to several immunologic functions including immune system process, response, and regulation (N = 109, 83, and 63, respectively); innate and adaptive immune response (N = 50 and 19, respectively); inflammatory response (N = 35); IL-10 production and negative regulation (N = 8 and 7, respectively); regulation of cytokine production (N = 25); and type I IFN–signaling pathway and cellular response to type I IFN (N = 10 and 10, respectively, all corrected P < 0.05; Supplemental Table 4). Similarly, the observable preeclampsia module was associated with immune system process, response, and regulation (N = 57, 45, and 27, respectively; all corrected P < 0.05; Supplemental Table 5).

Figure 5. LCC genes (143 genes, highlighted in red) corresponding to the “observable preeclampsia module” among the replicated differentially expressed genes (N = 348) and their biological processes.

Figure 5

The connectivity of the replicated signatures was explored by mapping onto functional protein-protein interaction networks from HumanNet v.1.

Figure 6. Connection among the vitamin D– and IL-10–signaling pathway genes (blue and yellow modules, respectively) within the module.

Figure 6

Only the direct connections between vitamin D and IL-10 pathway genes within the module are shown. The size of the circles corresponds to the degree of genes in the interactome. The closeness of the vitamin D– and IL-10–signaling pathways to the LCC is based on the observed shortest path between each set of genes and the LCC.

Table 4. Average distances between the preeclampsia module and vitamin D receptor (VDR) and IL-10 pathways.

graphic file with name jci-126-89031-g010.jpg

Discussion

In the VDAART, supplementation with vitamin D initiated between 10 and 18 weeks of gestation did not reduce the frequency of preeclampsia in the ITT analysis. However, women who had sufficient vitamin D levels (≥30 ng/ml) at enrollment in early pregnancy and retained that status in late pregnancy had a significantly lower rate of preeclampsia compared with women with insufficient vitamin D levels (P = 0.04). This finding, along with the biological significance of the identified peripheral blood gene expression signatures in women who developed preeclampsia, implicates early pregnancy vitamin D status in the development of the disease.

Despite evidence from observational studies showing an association of low vitamin D status during pregnancy with preeclampsia (36), few randomized trials have examined the effectiveness of vitamin D supplementation in pregnancy outcomes, particularly in preventing preeclampsia (5, 7, 8, 18, 19). These trials had a smaller sample size, and in only 1 study was the therapy initiated approximately as early as it was in the VDAART (8). Except for the 1 other trial started early in pregnancy (8) and a recent trial of vitamin D supplementation after 20 weeks of gestation (19), the doses of vitamin D used were less than those in VDAART. No other trial, to our knowledge, has explored the underlying biological mechanisms using expression profiling and functional annotation of identified genes.

The inverse association between maternal vitamin D concentrations in early pregnancy and risk of preeclampsia in the VDAART is consistent with the findings of previous observational studies (2022). A noteworthy finding of the VDAART is that a circulating vitamin D level of approximately 40 ng/ml during pregnancy seems to minimize the vitamin D–associated risk of preeclampsia. Our data are consistent with the NICHD trial’s conclusion that a level of 40 ng/ml of circulating 25OHD is required to support maximum 1,25(OH)2D production during pregnancy (8, 23). In the NICHD trial, 4,000 IU versus 2,000 and 400 IU vitamin D were given after 12 to 16 weeks of gestation, with 4,000 IU having the greatest effect on reducing the composite rate of pregnancy comorbidities. Furthermore, across the treatment arms of this trial (400, 2,000, and 4,000 IU vitamin D), there was a trend toward a significant effect on the odds of pregnancy hypertensive disorder including preeclampsia after controlling for race (P = 0.05) (8). The observed effect is consistent with the findings of a recent trial of vitamin D supplementation (60,000–480,000 IU dose determined by a baseline 25OHD of >20, 10–20, and <10 ng/ml; 49% <10 ng/ml) after 20 weeks of gestation (19). As with the NICHD trial, we did not observe any adverse events due to vitamin D3 supplementation (24). These observations suggest that the current criterion for vitamin D deficiency (<20 ng/ml) of the Institute of Medicine (IOM) may be a suboptimal vitamin D level for pregnancy-related adverse events such as preeclampsia. Our observation is also consistent with the contemporary understanding of preeclampsia as arising from a preclinical phase of aberrant placentation in early pregnancy (25). These data suggest that earlier supplementation with vitamin D, even prior to implantation of the embryo, may be needed to improve vitamin D status in pregnant women to prevent preeclampsia, a notion that should be examined in a clinical trial.

Our gene expression substudy identified a set of vitamin D–associated genes related to preeclampsia, and network-based closeness demonstrated their connectivity to known vitamin D–signaling pathways, indicating the functional cohesiveness of vitamin D to the preeclampsia disease module. Most of the genes in the replicated module were associated with maternal systemic changes in immune (innate and humoral) and inflammatory responses. Among the functional interactions, one of the identified biological processes is negative regulation and production of IL-10 expression. IL-10 is an antiinflammatory cytokine that also mediates innate and humoral immune responses. Decreased IL-10 levels in placenta and in serum of women with preeclampsia have been observed (26, 27). 1,25(OH)2D3 decreases the synthesis of IL-12 and IL-23 and increases the production of IL-10 by DCs (28). This effect results in a decrease in Th1 cell responses, producing more Tregs and a Th2 profile that favors a state of immune tolerance to the fetus in the mother (29). IL-10 has also been implicated in placental angiogenesis, growth, and remodeling and in blunting hypoxic injury at the maternal-fetal interface (29, 30). Additionally, the identified preeclampsia module of replicated genes was significantly close and connected to the known IL-10 pathways in the interactome (P ≤ 0.0001).

Why was therapy with vitamin D not successful in modifying the incidence of preeclampsia in the VDAART or in previous studies? It is possible that vitamin D supplementation and the subsequently increased maternal vitamin D metabolites are not important in the modification of pathophysiologic alterations involved in the development of preeclampsia. However, the fact that the observed association of maternal vitamin D levels with a risk of preeclampsia was reported in several other studies under different study conditions (5, 8) leads us to deduce that the observed association in the VDAART results is worthy of further investigation, and that conclusion is supported by our gene expression study.

The timing of vitamin D administration and achievement of optimal vitamin D concentration are important. Immunologic evidence, detection of early biomarkers, as well as aberrant placental development and function suggest that preeclampsia is a disorder of early placentation (28, 3135). Sufficient vitamin D levels need to be present at the time of implantation and placentation, the 2 stages in which maternal-fetal immune interfaces play an important role in preeclampsia (36, 37). A significant effect of vitamin D3 on human extravillous trophoblast invasion in early pregnancy was observed at a concentration of 40 ng/ml (38). Our gene expression substudy showed the existence of distinctive biological processes consistent with preeclampsia as early as the tenth week of pregnancy in women with low vitamin D status who went on to develop preeclampsia compared with what was observed in the vitamin D–sufficient matched controls. These observations are suggestive of the evolution of systematic immunologic alterations at the earliest placental stage and prior to the time of enrollment in the VDAART. On the contrary, those with vitamin D sufficiency at trial entry (21.8%) and who maintained that status through their late pregnancy demonstrated a considerably lower risk of preeclampsia. Although vitamin D is implicated in the pathophysiology of preeclampsia, it is possible that the role of vitamin D is mediated by other interacting factors (environmental or genetic), such that a subgroup of pregnant women with low vitamin D status might achieve the greatest benefit from this therapy. The observed variability in a dose-response association between maternal vitamin D levels and risk of preeclampsia, particularly at lower concentrations, supports this notion (Figure 2). It should also be noted that the 4,000 IU dose of vitamin D3 in the VDAART resulted in a sufficient level of serum vitamin D (≥30 ng/ml) in only 74% of the pregnancies at 32 to 38 weeks of gestation, which is less than the 82% at 1 month prior to delivery in the NICHD trial on a similar dose (23). The results of these 2 studies highlight the latest emerging evidence that higher supplementation doses (2,000–6,000 IU/day) than the current recommendation of 400 to 600 IU/day, particularly in the absence of adequate sun exposure or other high-risk conditions of vitamin D deficiency, might be required to support sufficient levels throughout pregnancy. While the current evidence from randomized controlled trials (RCTs) is not sufficient to support 25OHD screening and high-dose vitamin D supplementation (>2,000 IU) in all pregnant women (39, 40), screening and modification of vitamin D status in early pregnancy and ideally before pregnancy for women with a high risk of vitamin D deficiency should be considered. Furthermore, for to-be pregnant women with a high risk of vitamin D deficiency as well as a risk of nonadherence to vitamin D supplementation, prepregnancy supplementation strategies such as a high dose of vitamin D3 in addition to individualized supplementation doses should be considered, and frequent 25OHD measurements during pregnancy are recommended (41). These concepts need to be definitively tested in a prepregnancy clinical trial in a population of women at high risk of preeclampsia.

A limitation of the VDAART as well as other RCTs of vitamin D supplementation during pregnancy was that subjects with vitamin D sufficiency, i.e., those with a level above 30 ng/ml, were not screened and were excluded from the trial. While this approach might have affected the efficacy of vitamin D supplementation, it provided the opportunity to obtain valuable knowledge by allowing us to compare the pregnant women with vitamin D sufficiency with those with vitamin D insufficiency in terms of their risk of preeclampsia occurrence and to identify potential mechanisms of preeclampsia in early pregnancy. It is noteworthy that a maternal or paternal history of allergic diseases has not been recognized as a risk factor for preeclampsia; nevertheless, this inclusion criterion for the VDAART might limit the broad generalizability of our results in certain populations of pregnant women.

In conclusion, 4,400 IU daily supplementation of vitamin D initiated at 10 to 18 weeks of gestation did not show a protective effect against preeclampsia in our ITT analysis; however, vitamin D sufficiency (≥30 ng/ml) at randomization and at 32 to 38 weeks of gestation was associated with a significant (P = 0.04) effect on reducing the risk of preeclampsia development. This observation and the identified peripheral blood gene expression patterns of preeclamptic women showing immune gene activation at 10 to 18 weeks of gestation highlight the importance of vitamin D sufficiency in early pregnancy.

Methods

VDAART design, participants, interventions, and oversight.

The VDAART was a randomized, double-blind, placebo-controlled clinical trial of vitamin D supplementation (4,000 IU vitamin D plus a multivitamin with 400 IU vitamin D daily) versus placebo (placebo pill plus a multivitamin with 400 IU vitamin D daily) for pregnant women with a high risk of atopic disease in their family; the goal of the trial was to prevent asthma in children as well as predefined pregnancy outcomes, including preeclampsia. Participants were 10–18 weeks pregnant and between the ages of 18 and 40 years when recruited at obstetric clinics at 3 centers in the United States: Boston University Medical Center in Boston, Massachusetts; Washington University in St. Louis, Missouri; and Kaiser Permanente Southern California Region in San Diego, California.

Eligible participants were screened between October 2009 and July 2011 and enrolled if they met the eligibility criteria. Compliance with daily pill taking during pregnancy was monitored via the Medical Event Monitoring System (MEMS) (www.aardexgroup.com). The Data and Safety Monitoring Board (DSMB), convened by the National Heart, Lung, and Blood Institute (NHLBI), met every 6 months to review recruitment, adherence, adverse events, data quality, and protocol changes. Details of the trial design and protocol as well as further information on the screening, random allocation and blinding process, compliance assessment, statistical power, and trial monitoring have been published previously (24, 42). The results of the trial were prepared and reported in accordance with the Consolidated Standards of Reporting Trials (CONSORT) guidelines.

VDAART and eligibility.

The VDAART (www.vdaart.com) was sponsored by the NHLBI and registered at ClinicalTrials.gov (NCT00920621). The VDAART involved pregnant women with singleton pregnancies at 10 to 18 weeks of gestation, who were enrolled in a multicenter, randomized trial for assessment of the defined outcome of pregnancy after receiving either vitamin D (cholecalciferol, 4,000 IU/day, equivalent to 100 μg/day) or placebo. All pregnant participants received prenatal vitamins containing 400 IU (10 μg/day) of cholecalciferol; thus, the vitamin D treatment arm received a total of 4,400 IU/day (110 μg/day), and the placebo arm received 400 IU/day (10 μg/day). The pregnant women’s clinical course was followed prospectively from randomization (10–18 weeks) to the end of the pregnancy and for investigation of predefined pregnancy outcomes including preeclampsia, preterm birth, and term delivery. The inclusion criteria were as follows: (a) Maternal history or biological paternal history of asthma, eczema, or allergic rhinitis. Pregnant women were considered asthmatic or allergic if they gave a positive answer to the direct question in the enrollment questionnaire or any subsequent monthly questionnaire; (b) gestational age between 10 and 18 weeks at the time of randomization; (c) maternal age between 18 and 39 years; (d) not a current smoker (defined as not having smoked for at least 1 month prior to enrollment) and not a user of other nicotine products (e.g., nicotine patch) for at least 1 month prior to enrollment; (e) English- or Spanish-speaking; (f) intention to participate in the trial throughout the pregnancy.

The exclusion criteria were as follows: (a) Gestational age beyond 18 weeks; (b) presence of any of the following chronic medical conditions: (i) hypertension (on medication); (ii) diabetes mellitus; (iii) parathyroid disease; (iv) uncontrolled thyroid disease; (vi) kidney stones; or (vii) sarcoidosis; (c) intake of vitamin D supplements containing more than 2,000 IU/day of vitamin D3; (d) multiple gestational pregnancy; (e) pregnancy achieved by assisted reproductive techniques (e.g., IUI, IVF); (f) current use of illicit drugs (defined as any use in the past 6 months prior to enrollment); (g) previous enrollment in the VDAART for a prior pregnancy; (h) any major fetal anomalies detected prior to delivery; (i) patient health questionnaire (PHQ-9) depression scale of 15 or higher; (j) any condition, in the opinion of the clinical center’s principal investigator, that would inhibit compliance with the study medications or prohibit long-term participation in the trial.

Assessment of compliance: MEMS.

The primary measure of compliance with pill taking was monitored via the MEMS (AARDEX Group; http://www.aardexgroup.com), which consists of a pill bottle equipped with special cap that includes an electronic microchip that stores the date and time of each opening of the bottle. Each monitor recorded the time and date of each opening and closing of the container through integrated microcircuitry. The MEMS stores up to 3,800 medication events in nonvolatile, electrically erasable, programmable read-only memory (EEPROM), allows wireless data transfer, fits standard pharmacy bottles, provides 36 months of battery life, and is water resistant and CE marked. Monitors were designed for usage by 1 patient with 1 drug. A reader allowed transfer of the dose-timing data from the MEMS to a Microsoft Windows–based computer. Data from the MEMS were downloaded at the monthly in-person prenatal visits and after delivery. The data from the prenatal follow-up visits were used to provide feedback to the participant, reinforcing those participants with good adherence and providing extra teaching and encouragement for those with suboptimal adherence. The data from both prenatal follow-up and postnatal downloads were used to derive a summary adherence measure, to be used as a covariate in our analyses. In addition to the information obtained from the MEMS, the 25OHD levels detected from the baseline measurement and at the third-trimester visits provided excellent adherence information for this trial.

Data collection on the VDAART subjects.

The research staff met with the participants monthly, in conjunction with their regularly scheduled obstetrical visits. At these visits, a short maternal health questionnaire was administered, MEMS cap information was downloaded, and study medication and prenatal vitamins were refilled. At these monthly prenatal visits, the research staff conducted monthly reviews of electronic medical records to check for pregnancy complications; these were logged, and a severe adverse event (SVE) form or an adverse event form was completed as applicable. At 32 to 38 weeks of gestation, in addition to the monthly routine, a blood draw, skin pigmentation determination, and several of the questionnaires that were administered at the enrollment visit were repeated. At delivery, cord blood was collected, and the research staff collected information regarding the type of delivery, birth weight of the baby, and other anthropometric measures from the delivery records.

Study outcome and main predictor measurements.

The occurrence of preeclampsia was a prespecified secondary outcome of the trial and an adverse event. Pregnant women with known chronic hypertension were excluded from entry into the VDAART. Every month, study coordinators performed a medical record review for cases of preeclampsia as part of the protocol for identifying SVEs in the trial. Medical records were abstracted for all participants after delivery. A committee of 4 board-certified obstetricians conducted a blinded review of 276 abstracted charts of subjects with a noted diagnosis of hypertension, proteinuria, or preeclampsia to determine preeclampsia status. The diagnosis of preeclampsia at the time of the record reviews was based on the American Congress of Obstetricians and Gynecologists (ACOG) guidelines (43), which included the identification of high blood pressure (BP) and either proteinuria (≥300 mg per 24-hour collection or ≥1+ on a urine dipstick) or the presence of elevated liver enzymes, high platelet count, headache, or visual disturbances after 20 weeks of gestation. High BP was diagnosed for participants who had a systolic BP of 140 mmHg or higher, a diastolic BP of 90 mmHg or higher, or both, with a second elevated measurement noted in the medical record at least 6 hours after the first measurement was taken. Consequently, preeclampsia was diagnosed in 67 participants. Total 25OHD levels were measured using a chemiluminescence assay on a DiaSorin LIAISON machine at the data coordination center (DCC). We performed the 25OHD TOTAL assay, which has shown an excellent correlation with the DiaSorin 25OHD RIA assay, which has been used to defined reference levels. This method has also exhibited better concordance with liquid chromatography–tandem mass spectrometry (LC-MS/MS) results as compared with other available methods (44). Additionally, using specific polyclonal antibodies, this method avoids the previously observed racial differences in vitamin D–binding protein (VDBP) concentrations that are most likely due to monoclonal assay bias (45, 46). For quality control, our laboratory used the US National Institute of Standards and Technology (NIST) level 1 protocol.

Gene expression substudy.

Participants of the preeclampsia microarray study comprised a nested case-control group (N = 157) selected from among participants of the VDAART. Of the 67 women with preeclampsia, 47 (70.14%) had a suitable RNA sample available at entry into the trial (10–18 weeks of gestation) and participated in the gene expression substudy. Controls were chosen from the VDAART subjects matched for age (within 5 years), race, and study center, such that each subject had 2 matched controls. Once the initial set of matched study subjects and controls was formed, additional controls were incorporated to enhance the range of 25OHD concentrations present among the control subjects (total Ncontrols= 110). In a post-matching comparison, we found no significant difference (all P values >0.05) in age, race, or maternal gestational age in early pregnancy among the 47 preeclampsia subjects and the 110 normal controls.

RNA isolation and microarray processing.

Total RNA was isolated from whole blood using the QIAGEN PAXgene Blood RNA Kit according to the manufacturer’s protocol. The GLOBINclear Kit (Ambion) was used to remove α and β globin mRNA from the sample to increase the sensitivity of the gene expression assays by improving the detection rate of expressed genes. The RNA was quantified using the Nanodrop 8000 and checked for high integrity before preparation of cDNA. The integrity of RNA samples was assessed using the Agilent 2100 Bioanalyzer, and purity of the samples was confirmed using the NanoDrop spectrophotometer and RNA integrity number (RIN ≥8). Gene expression was assessed using the Affymetrix Human Gene 1.0 ST Array. Biotinylated cRNA was prepared according to the manufacturer’s protocol, and hybridization was processed according to the protocol for the GeneChip Hybridization Control Kit (http://www.affymetrix.com/estore/browse/products.jsp;jsessionid=7F717F80BE253ABBF6155B16AC95C6F9?navMode=34000&productId=131453&navAction=jump&aId=productsNav#1_1).

After image production and processing, an expression set with 33,297 probes and 157 samples, collected at 10 to 18 weeks of gestation (enrollment), were generated, representing the 47 subjects with preeclampsia and the 110 unaffected normal pregnant women. In order to check the quality of the arrays, quantiles of expressions were examined before and after normalization. Background adjustment, log2 transformation, and quantile normalization were performed using the robust multiarray analysis (“rma”) function in R BioConductor’s “affy” library to minimize nonbiological variability among arrays. Principal component (PC) analysis of samples was done to identify any extreme outlier. Thereafter, phenotypes of interest were merged with the expression set. Probes were annotated using the annotation package for Bioconductor pd.hugene.1.0.st.v1 and confined to annotated probes of autosomal chromosomes (19,137 probes). The interquartile range (IQR) filter (values of IQR including 80% of the probe expressions) was implemented in R using the “genefilter” package from Bioconductor to remove expressions showing little changes within arrays (47). This process resulted in an expression set of 15,309 probes belonging to 157 samples collected at 10 to 18 weeks of pregnancy, representing 47 preeclampsia cases and 110 women. To capture the expression heterogeneity, surrogate variable analysis was conducted by applying the surrogate variable analysis (SVA) function to the expression data. Accordingly, 16 surrogate variables (SVs) were identified and expression data adjusted for 12 batches uncorrelated to the main predictor of interest, i.e., vitamin D serum levels in early pregnancy. Thereafter, differential expression analysis was carried out using the Bioconductor package “RankProd,” which implements the rank product method for identifying differentially expressed genes (48).

The data discussed in this article were deposited in the NCBI’s Gene Expression Omnibus (GEO) database (GEO GSE85307; http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?token=epajoakqppkvbub&acc=GSE85307).

Microarray validation by quantitative reverse transcription PCR.

To ensure internal validity, the top ranked up- or downregulated genes by RankProd from the replication results were chosen for validation by quantitative reverse transcription PCR (qRT-PCR), and qRT-PCR was performed.

Replication cohort.

A population selected to replicate the gene expression results in the VDAART was obtained from a nested case-control study of preeclampsia (Ncases= 16 and Ncontrols= 16) within the OMEGA study, a prospective cohort study designed to assess dietary and other lifestyle risk factors of preeclampsia and other medical complications of pregnancy (49). Participants were nulliparous women, who initiated prenatal care at the Swedish Medical Center in Seattle, Washington, USA. Transcriptional data for 2 cases were of low quality and therefore omitted from the analysis.

Quality control of the replication data.

Gene expression of subjects was profiled using Affymetrix GeneChip Arrays. Quantiles of raw expression and principal compontents (PCs) across arrays were examined before and after background adjustment normalization and log2 using the “rma” function in the R “affy” library. Expression data for 2 of the samples were identified as outliers and removed, and quantile-normalized and background-adjusted expression data as well as PCs were reexamined. The results were compared by running the “QCReport” function in the R library’s “affyQCReport.” The microarray expression data were annotated using “hgu133plus2,” available on Bioconductor. The annotated expression from autosomal chromosomes was included in the analysis. The final expression data set contained 40,003 rows of background-adjusted, log2-transformed, rma-summarized, and quantile-normalized expression data for 14 preeclampsia cases and 16 controls.

Statistics.

In accordance with the ITT paradigm, data for all women (N = 816) were analyzed according to the group to which they were randomly assigned (Figure 1). For demographic data, continuous variables were compared using the appropriate 2-tailed t test or χ2 test, and a P value of less than 0.05 was considered statistically significant.

A vitamin D level of 30 ng/ml (75 nmol/l) was used to differentiate between high and low levels (high-high, high-low or low-high, and low-low) at both study time points. Selection of this cutoff was mostly based on the observations of several studies designed to investigate the relationship between serum parathyroid hormone (PTH) and 25OHD levels in adults. These studies have shown that the suppression of PTH reaches a plateau when the 25OHD level approximates 30 ng/ml (50). Of note, it has been demonstrated that during pregnancy, serum PTH levels are not different from those of nonpregnant women (51, 52).

Two ITT analyses were performed: (a) For the primary outcome assessment, we used logistic regression analysis, controlling for a priori covariates or potential confounders (associated with primary outcome and the main variable of vitamin D status at a significance level of 0.2; Table 2 and Supplemental Table 6) including gravidity, age, race, BMI, study group designation, education level, income, and study center; (b) within-group and group-collapsed trend tests of categorical 25OHD concentration effects on preeclampsia development were applied. Finally, we evaluated the dose-response association between maternal vitamin D serum concentrations at 10 to 18 weeks of gestation and risk of preeclampsia after adjustment for the informative variables identified in the primary outcome analysis (Table 2). For all of the ITT analyses, 2-sided P values of less than 0.05 were considered statistically significant.

Transcriptomic variations related to preeclampsia.

SV analyses were conducted, and tests for differential gene expression included an adjustment for expression heterogeneity. Differential expression analysis was carried out using the Bioconductor “RankProd” package, which implements the rank product method for identifying differentially expressed genes (48). Differentially expressed (up- or downregulated) genes were identified through permutation analysis, after setting the percentage of the false prediction threshold for which the FDR was less than 0.05. The number of permutations used was set as the package default value. We separately identified genes associated with high/low vitamin D status (at a cutoff of 30 ng/ml) and preeclampsia case status and then identified the overlap of these 2 gene modules. We replicated the overlap in our second case-control study using the rank product method. Those genes having a P value of less than 0.05 in the replication population were considered for further investigation in the network and pathway analysis as well as for literature curation for their relationship to preeclampsia.

In addition to the GeneCards (53) and MetaCore databases (https://lsresearch.thomsonreuters.com/pages/solutions/1/metacore) (overall 673 annotations), the replicated gene signatures were manually curated in order to validate their connection to preeclampsia according to the scientific literature and previous preeclampsia research. Using the Human Protein Atlas (HPA), the subset of replicated signatures with evidence of tissue-specific expression in placenta was identified (54). Figures 3 and 4 provide an overview of our approach and a summary of the results.

Molecular and functional interaction gene networks.

The connectivity of the replicated signatures was explored by mapping onto functional protein-protein interaction networks from HumanNet v.1 (55). The identified gene set (preeclampsia module) was subsequently used to construct the “observable preeclampsia module,” defined as the largest connected component (LCC) of the replicated signature genes (17). Thereafter, the connectivity of this module to the known vitamin D– and IL-10–signaling pathways using available data from the National Cancer Institute’s (NCI’s) Pathway Interaction Database (http://pid.nci.nih.gov) was explored. GO enrichment analysis was conducted to investigate the biological processes involved in the identified modules (56). Further details on the methods are provided in Figure 2.

Molecular interaction networks and pathway enrichment analysis.

To understand the functional relationships underlying the set of replicated differentially expressed genes, we explored their connectivity in the HumanNet functional network (55). HumanNet uses a naive Bayes approach to weight different types of evidence together into a single interaction score focusing on data collected from humans, yeast, worms, and flies. We mapped the differentially expressed genes encoding proteins in the interactome and identified the LCC (or “observable preeclampsia module,” Figure 5) (17). Furthermore, we tested the closeness of the observable preeclampsia module to the vitamin D and IL-10 pathways, as described below. Ordered functional enrichment for the representative GO terms “biological processed,” “molecular function,” and “cell component” annotations for both the replicated gene set and observable preeclampsia module was carried out with g:Profiler (56, 57). Accordingly, gene group functioning profiling was performed with default options limiting the output to significant results (multiple testing–corrected P < 0.05).

Connectivity of preeclampsia module to vitamin D receptor and IL-10 pathways.

We defined vitamin D and IL-10 pathways as reported in the NCI’s Pathway Interaction and BioCarta databases, respectively (http://pid.nci.nih.gov). To test whether the observable preeclampsia module was connected to vitamin D and IL-10 pathways, we measured the closeness between the 2 sets of genes and compared this parameter with that having a random expectation of closeness (Figure 6). The assumption behind this exercise was that, even if the genes did not overlap between the preeclampsia module and vitamin D and IL-10 pathways, they should be localized in the same neighborhood of the interactome. The closeness was computed as the average of all possible shortest paths between 2 sets of genes, according to the following formula:

graphic file with name jci-126-89031-i001.jpg

(Equation 1)

In this formula, d(s, t) is the shortest path from a gene s in the preeclampsia module (Pm), and a gene t of the interest pathway (Pw), and NPm and NPw denote the number of genes in each set. To determine the significance of this quantity, we selected NPm genes at random in the network and determined the average distance (Avg distrand) to the Pm. This exercise was repeated 1,000 times, and the significance was evaluated by computing the Z score as follows:

graphic file with name jci-126-89031-i002.jpg

(Equation 2)

In this formula, μ(Avg distrand) and ϭ(Avg distrand) denote the mean value and SD of the random expectation. Any distance with a Z score lower than –1.65 (i.e., modules closer than expected) was deemed significant; as such, a cutoff corresponded to P ≈ 0.05 in the case of a normally distributed variable.

Study approval.

The VDAART was approved by the IRBs of the participating institutions (Washington University in St. Louis, Boston Medical Center, Kaiser Health Care San Diego) and Brigham and Women’s Hospital, and written consent was obtained from all participating pregnant women at their first enrollment visit. See the Supplemental material for the list of DSMB and DCC members (Supplemental Acknowledgments).

Author contributions

AAL, TFM, GO, ALP, RI, GM, RCS, LBB, RZ, BWH, NL, VC, and STW contributed to the design, coordination, and conduct of the trial. HM designed the project, performed statistical and bioinformatic analyses, and wrote the manuscript. DC, NL, VC, WQ, AS, MS, and SL assisted with data analyses. AS, MS, and SL assisted with the figures. AAL and STW supervised the trial. STW supervised the study project and manuscript preparation. TFM provided important advice on clinical aspects of the project and supervised the validation of the preeclampsia cases. JL provided important trial guidance and discussed the results. DAE and MAW provided the data from the OMEGA project, reviewed the data from the genomic experiments and contributed to the writing of the manuscript. DEH helped with the curation of the identified genes in the largest connected component, reviewed the data from the genomic experiments and contributed to the writing of the manuscript. All authors reviewed and assisted with editing the manuscript.

Supplementary Material

Supplemental data
jci-126-89031-s001.pdf (390.1KB, pdf)
ICMJE disclosure forms
jci-126-89031-s002.pdf (14.9MB, pdf)
Supplemental Table 1
jci-126-89031-s003.xlsx (51.2KB, xlsx)
Supplemental Table 2
jci-126-89031-s004.xlsx (43.4KB, xlsx)
Supplemental Table 3
jci-126-89031-s005.xlsx (43.9KB, xlsx)
Supplemental Table 4
jci-126-89031-s006.xlsx (19.9KB, xlsx)
Supplemental Table 5
jci-126-89031-s007.xlsx (16.3KB, xlsx)

Acknowledgments

The authors thank the women who participated in this trial and all the study staff for their contributions to this research. The VDAART received support from the NHLBI (U01 HL091528, to STW and AAL, and R37 HL061795 and P50 GM107618, to JL) and from a National Research Service Award (NHLBI; T32-HL007427, to HM).

Role of trial sponsor: The National Heart, Lung, and Blood Institute (NHLBI) monitored the conduct of the trial and selected the membership of the Data and Safety Monitoring Board (DSMB). All communication between the investigators and the DSMB was handled through the staff of the NHLBI. All manuscripts, including the present one, during the course of the trial were presented to the DSMB for approval prior to submission for peer review. The NHLBI had no role in the design or conduct of the study, the collection, analysis, or interpretation of the data, or in the preparation, review, or approval of the manuscript, other than what pertained to the DSMB.

Footnotes

Conflict of interest: The authors have declared that no conflict of interest exists.

Reference information:J Clin Invest. 2016;126(12):4702–4715. doi:10.1172/JCI89031.

See the related Commentary beginning on page 4396.

Contributor Information

Hooman Mirzakhani, Email: hoomi@post.harvard.edu.

Ronald Iverson, Email: ronald.iverson@bmc.org.

Leonard B. Bacharier, Email: Bacharier_L@kids.wustl.edu.

Robert Zeiger, Email: rzeiger@cox.net.

Amitabh Sharma, Email: reash@channing.harvard.edu.

Nancy Laranjo, Email: renml@channing.harvard.edu.

Vincent Carey, Email: stvjc@channing.harvard.edu.

Marc Santolini, Email: marc.santolini@gmail.com.

Shikang Liu, Email: liu.shik@husky.neu.edu.

Divya Chhabra, Email: dchhabra@ucsd.edu.

Joseph Loscalzo, Email: jloscalzo@partners.org.

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Supplemental data
jci-126-89031-s001.pdf (390.1KB, pdf)
ICMJE disclosure forms
jci-126-89031-s002.pdf (14.9MB, pdf)
Supplemental Table 1
jci-126-89031-s003.xlsx (51.2KB, xlsx)
Supplemental Table 2
jci-126-89031-s004.xlsx (43.4KB, xlsx)
Supplemental Table 3
jci-126-89031-s005.xlsx (43.9KB, xlsx)
Supplemental Table 4
jci-126-89031-s006.xlsx (19.9KB, xlsx)
Supplemental Table 5
jci-126-89031-s007.xlsx (16.3KB, xlsx)

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