Metabolomic Study on Fatty Acids in Placenta of Preeclamptic Pregnancies by Gas Chromatography-Mass Spectrometry

Preeclampsia is a serious pregnancy-associated complication and can critically affect the health of the mother and fetus. However, the pathogenesis of preeclampsia remains unclear. One of the characteristics of preeclampsia tert-butyldimethylsilyl derivative was performed in the placenta of preeclamptic term pregnancies and uncomplicated term pregnancies by gas chromatography-mass spectrometry. The compositions of saturated, monounsaturated and n-3 polyunsaturated The distorted star pattern of the preeclamptic pregnancy group was different from the tricosagonal shape of the for the biochemical monitoring of placental abnormalities and visual discrimination between preeclamptic and normal pregnancies.


Introduction
Preeclampsia, a disorder that occurs in about 5% of pregnant hypertension, proteinuria, and edema [1,2]. However, the cause of preeclampsia is unclear, and this condition has become an important adaptation of preeclamptic pregnancy, including free fatty acid (FFA), is a very important mechanism in preeclampsia, which shows close relationships with oxidative stress [4].
Previous studies of altered polyunsaturated fatty acid (PUFA) blood and placental tissues of preeclampsia, compared to normal pregnancies [5]. However, simultaneous studies of saturated fatty acid (SFA), monounsaturated fatty acid (MUFA) and PUFA have not been

tert-butyldimethylsilyl
Star pattern recognition analysis enrolled in this study. All subjects received regular antenatal care of which institution and were administered identical prenatal vitamins from the twentieth gestational weeks without additional omega-3 supplement. All subjects showed similar income, education levels, life style, and food intake through questionnaire.
Sample preparation for FFA profiling analysis in the placental tissue samples from normal (n=5) and preeclamptic (n=5) pregnant women was performed according to our previously described method [7][8][9]. Placental tissues were homogenized (3 min, 30,000 rpm) in 5 mL of distilled water in an ice-water bath using a rotor/stator-type tissue homogenizer (Model Pro 200 Homogenizer; Pro Scientific, Monroe, CT). An aliquot (equivalent to 20 mg of placental tissue) including pentadecanoic acid (5.0 µg) as the IS was vortex-mixed with acetonitrile (1 mL) for 3 min. The mixture was centrifuged at 15,000 rpm (15 min) for protein precipitation. Briefly, 1 mL of distilled water was added to the supernatant after centrifugation. Aliquots were then adjusted to pH ≥ 12 with 5.0 M sodium hydroxide and washed with diethyl ether (3 mL × 2). The aqueous phase was then acidified to pH ≤ 2.0 with concentrated sulfuric acid and saturated with sodium chloride, followed by extraction with diethyl ether (3 mL × 2). The extracts were evaporated to dryness under a gentle stream of nitrogen gas. The dry residues containing FFAs were reacted (60°C for 30 min) with TEA (5 µL), toluene (20 µL), and MTBSTFA (20 µL) to form TBDMS derivatives. All samples were analyzed in triplicate and examined directly by GC-MS with SIM mode.

Pattern recognition analysis
The FFA levels were summated after calculation from the calibration curves and the compositions of each FA in the total FFAs were expressed as percentages (%). The FFA values of each sample were normalized derivative in placental tissue samples from normal and preeclamptic pregnant women was performed for monitoring of altered FA metabolic pattern by gas chromatography-mass spectrometry (GC-MS) in selected ion monitoring (SIM) mode.
The accurate discrimination between normal and abnormal states requires the application of an appropriate computer-aided pattern recognition method to complex metabolic profiles. In our previous studies, star symbol plotting as a visual pattern recognition method readily allowed discrimination between patients with X-linked adrenoleukodystrophy and normal controls for comparative analysis of very long chain FAs in plasma [6]. The same approach was also applied to FFA profiling analysis in the plasma of rats with viral infection, which was useful for the comparative analysis of FFA profiles between two viral infection groups and control [7]. And FFA profiling analysis in plasma and brain was useful for monitoring of altered FFA metabolism following cell therapy with human bone marrow-derived mesenchymal stem cell in ischemia rat model [8].
Therefore, in this study, the metabolomic analysis of FAs combined with star pattern recognition analysis in placental tissue samples from normal and preeclamptic pregnancy groups was performed for biochemical monitoring of altered FA metabolic patterns.

Gas chromatography-mass spectrometry
GC-MS analysis in SIM mode for quantitative analysis of FFAs in the placental tissues were performed with an Agilent 6890 gas chromatograph, interfaced to an Agilent 5973 mass-selective detector (70 eV, electron impact mode) with an Ultra-2 (SE-54 bonded phase; 25 m × 0.20 mm I.D., 0.11 µm film thickness) cross-linked capillary column (Agilent Technologies, Atlanta, GA). Helium was used as the carrier gas at a flow rate of 0.5 mL/min in constant flow mode. The injector, interface, and ion source were maintained at 260, 300, and 230°C, respectively. Samples were introduced in the split-injection mode (10:1). The oven temperature was set initially at 100°C (2 min) and then programmed at a rate of 3°C/min to 260°C, and finally at 20°C/min to 300°C (10 min). The scanned mass range was 50-750 u at a rate of 0.99 scan/s.

Sample preparation for assaying FFAs in placental tissue samples
The study was approved by the Ethics Committee of Ajou University Medical Center (project No. CRO106). The participants and their family members were fully informed about this study before enrollment and they signed written consent forms. Five women with severe preeclampsia without intrauterine growth restriction, matched by term gestational age at the time of delivery, maternal age, obstetric history, and pre-pregnant BMI with five normal pregnant women were SFAs, the levels of capric acid, lauric acid, myristic acid, eicosanoic acid, behenic acid, lignoceric acid, and hexacosanoic acid were significantly reduced in the preeclamptic pregnancy group compared to the normal pregnancy group. Among the MUFAs, the levels of decenoic acid, myristoleic acid, eicosenoic acid, and erucic acid were significantly reduced, whereas that of oleic acid was significantly elevated in the preeclamptic pregnancy group compared to the normal pregnancy group. Specifically, the total n-3 PUFA composition (%) was lower, while that of total n-6 (%) was higher in the preeclamptic pregnancy group compared to the normal pregnancy group. Among the n-3 PUFAs, the levels of α-linolenic acid, docosapentaenoic acid and docosahexaenoic acid in the preeclamptic pregnancy group were significantly reduced compare to the normal pregnancy group. Although the levels of γ-linolenic acid and linoleic acid as n-6 PUFA were lower than those in the normal pregnancy group, only γ-linolenic acid level was significantly different. In contrast, among the n-6 PUFAs, the levels of arachidonic acid as a final metabolite was significantly increased in the preeclamptic pregnancy group compared to the normal pregnancy group.
The present simultaneous profiling analysis of SFA, MUFA and PUFA for preeclamptic pregnant women is the first study. In this study, arachidonic acid level in the n-6 family was significantly increased, while docosahexaenoic acid level in the n-3 family was significantly reduced. Among PUFAs, the n-3 family with antioxidant capacity acts as protectors against inflammation and the n-6 family show activators of inflammation. The reduction of n-3 PUFAs may be due to to the corresponding mean in the normal group. Subsequently, each normalized value was plotted as a line radiating from a common central point, and the far ends of the 23 lines were joined together to produce a star pattern for each patient using Microsoft Excel® as described previously [6][7][8].

Clinical characteristics
There were no significant differences between the control and preeclamptic groups in maternal age, obstetric history, pre-pregnant BMI, gestational age at delivery, and neonatal birth weight. The BMI at the time of delivery, maternal systolic blood pressure, maternal diastolic blood pressure, maternal hemoglobin (g/dL levels and hematocrit were significantly higher in the preeclamptic group than the control group (P<0.05, Table 1).

FFA compositions in placental tissues of normal and preeclamptic pregnancy groups
The compositions (%) of 23 FFA levels (ng/mg) in placental tissues of five normal and five preeclamptic pregnancies (P-1 through P-5) are shown in Table 2. In all normal and preeclamptic subjects studied, oleic acid was the most abundant FFA, followed by arachidonic acid and palmitic acid. The 17 FFA levels among the 23 FFAs were significantly different between the two groups (P<0.05, Student's t-test). Among the  elevation of inflammation involving excessive oxidation and deficient antioxidant defenses caused by essential PUFA deficiency in placental tissues of the pre-eclamptic pregnancy group [5,10,11]. In contrast, significant elevation of arachidonic acid levels as final metabolite due to the metabolic change from the precursors of n-6 PUFAs may explain the increased inflammation in placental tissues with preeclamptic pregnancy. Few studies on the changes of FA in preeclampsia have been reported. Villa et al. presented increase in arachidonic acid levels in the maternal blood of preeclamptic pregnancy [12]. For the levels of FA in placental tissue of preeclampsia, Wang et al. demonstrated reduced levels of arachidonic acid among the n-6 PUFAs [5]. In contrary, Kulkarni et al., demonstrated increased levels of arachidonic acid and decreased levels of docosahexaenoic acid in the placenta of preeclamptic women, similar to the outcome of this study [13]. Also, Wadhwani et al. presented the lower proportions of DHA in the placental tissues of preeclamptic pregnancy like this study [14]. Because the levels of FAs can be affected dietary pattern, the subjects in this study were specifically matched with the gestational age at delivery, normal neonatal body weight without intrauterine growth restriction, BMI before pregnancy, similar parameters of life style and food intake. Also, the docosahexaenoic acid and arachidonic acid are important for fetal growth and development [15]. Therefore, the levels of arachidonic acid in the placenta may be different according to pre-term or term delivery and the presence of intrauterine growth restriction of the neonate. It must be emphasized that this study was performed on term preeclampsia without intrauterine growth restriction, and further studies that evaluate the effects of fetal weight are needed in preeclampsa with intrauterine growth restriction.

Star pattern recognition analysis in placental tissues
The levels of each of the 23 FFAs in the preeclamptic pregnancy group were normalized to the corresponding normal mean values  ( Table 3). When these normalized values were used as variables to draw star graphs composed of 23 rays, star patterns (P-1 through P-5) of the 5 patients were deformed tricosagons in contrast to the small equilateral tricosagon of the normal group average placed in each center ( Figure  1). In addition, the differences in mean values between the normal and preeclamptic pregnancy groups were more clearly represented in the visual star pattern for the placental tissue ( Figure 1).
The tricosagonal shape of normalized FFA values in placental tissue was very informative, which expressed the elevation of FFA levels in multiples (average range from 0.83 to 1.22) of normal mean values ( Table 3). The average levels of palmitic acid (No. 7), oleic acid (No. 10), stearic acid (No. 12), and arachidonic acid (No. 13) in the placental tissue of preeclamptic pregnant women were much higher than that in the normal control group. In addition, in the preeclamptic pregnancy group, palmitic acid (No. 7) was the most abundant, followed by arachidonic acid (No. 13). Thus, the two groups could be distinguished from each other. On visual comparison of the two groups, the normal control line served well as the control pattern for the preeclamptic pregnancy group. Star symbol plots drawn based on these 23 variables were very useful for the visual pattern recognition of each group. The mean star plots representing the preeclamptic pregnancy and control groups were clearly distinguishable.
In this study, the significant reductions in n-3 PUFAs, SFAs, and MUFAs, and significant increases of arachidonic acid among n-6 PUFAs were associated with increased inflammation in preeclampsia. These findings may explain the placental abnormalities associated with altered FA metabolic patterns in preeclampsia. In addition, star plots representing preeclamptic and normal pregnancy groups were clearly distinguishable from each other.   Table 1. *P<0.05; Student's t-test at 95% confidence level.

Conclusion
The present metabolomic analysis of FAs combined with star symbol plotting will be useful for biochemical monitoring of altered FA metabolism in placental tissue from preeclamptic pregnancies.