Skip to main content
Download PDF

Differential levels of amino acid transporters System L and ASCT2, and the mTOR protein in placenta of preeclampsia and IUGR

BMC Pregnancy and Childbirth volume 14, Article number: 181 (2014) Cite this article

Abstract

Background

Sufficient amino acid transport activity (AAT) is indispensable for appropriate fetal growth. Studies suggest that placental nutrient uptake activity is responsive to both maternal and fetal nutrient demands. We hypothesize that under conditions of limited nutrient availability to the fetus, as often present in preeclampsia, intrauterine growth restriction (IUGR), and insufficient weight-gain during pregnancy, a general adaptive response aimed to increase amino acid transport activity may be observed in the placenta.

Method

A total of 40 placentas from full-term (n = 10) and pre-term (average gestational period = 34.8 weeks, n = 10) normal pregnancies, IUGR (n = 10), and preeclampsia (n = 10) associated pregnancies were looked at by immunohistochemistry followed by relative qualitative scoring to compare expression levels and localization of System L, ASCT2, and mTOR proteins.

Result

Microvillous syncytiotrophoblast (ST) in placenta of pregnancies complicated by IUGR or preeclampsia (PE) showed significant increases in the levels of System L amino acid transport proteins 4F2hc and LAT1 compared to both full-term control and pre-term (early gestation control) pregnancies seperately (p < 0.05). Elevated mTOR protein was uniquely higher in IUGR placentas compared to full-term controls (P = 0.0026). Total cellular ASCT2 transporter protein levels were similar in all groups, however, levels of ASCT2 protein localized to the ST microvillous membrane (MVM) were significantly lower in IUGR compared to both full-term and pre-term pregnancies (P = 0.0006, 0.03, respectively). Additionally, ASCT2 and mTOR protein levels were positively associated with maternal pre-pregnancy BMI (P = 0.046, 0.048, respectively).

Conclusion

There are three important findings based upon the present study. First, in conditions of limited nutrient availability, such as PE or IUGR, there is an overall increase in the level of System L and mTOR protein expression in the ST, suggestive of an adaptive response. Second, a decrease in ASCT2 protein at the ST MVM suggests a post-translational event that may decrease AAT activity in IUGR placentas. Third, a physiological link between transporter expression and pre-pregnancy BMI is suggested based upon a positive association observed with ASCT2 and mTOR expression values.

Peer Review reports

Background

Fetal growth restriction, as observed in intrauterine growth restriction (IUGR) and preeclampsia (PE), affects not only perinatal outcomes, but is also an important risk factor for developing diabetes, cardiovascular disease and other health problems in adulthood [1–3]. Nutrient availability and placental transport capacity are key determinants of fetal growth [4, 5]. Amino acid transport in particular is intimately linked to fetal growth [6, 7]. Lower activities for several of the amino acid transporter (AAT) systems have been documented in the placenta of IUGR fetuses including System A [8–10], System L [11], and taurine transport [12–14]. In vivo animal model studies also support the primary role of reduced amino acid transport activity in the development of IUGR [15, 16]. The etiology of fetal growth restriction necessitates a better understanding of placental amino acid transport regulation.

Placental amino acid transport activity resides within the syncytiotrophoblast (ST) cells [17, 18]. Efficient transport requires the coordination of both Na+-dependent and Na+-independent transporters. Sodium-dependent transporters, including System A (sodium-dependent neutral amino acid transporter 1 (SNAT1), −2, and −4/ SLC38A1,-2,-4) and System ASC (ASCT1/SLC1A4 and ASCT2/SLC1A5), are largely responsible for maintaining intracellular neutral amino acid substrate levels. The activity of System A in the microvillous membrane has been well described [8, 10, 19]. Na+-dependent ASCT2 expression has also been localized to placenta microvilli [20]. In normal tissues and cancer cells ASCT2 is critical to cell growth and survival as its glutamine transport activity supports amino acid exchangers including LAT1 [21–23]. However, there are no reports on ASCT2 activity relative to placenta function and fetal growth restriction. The sodium-independent transporters of System L (LAT1 and LAT2) exchange intracellular glutamine and other substrates for essential amino acids (EEAs) including Leucine and branched-chain amino acids (BCAA). LAT1 is expressed in the microvilli as a heterodimeric glycoprotein composed of the transporter-specific light chain LAT1/SLC7A5, and the common heavy chain 4F2hc/CD98/SLC3A2 [17, 24]. The transport of branched-chain and EEAs has been shown to be affected in both IUGR (decreased) and LGA-associated placenta (increased) [19].

While the relationship between changes in amino acid transporter activities and pathological fetal growth is well established, their regulation is still poorly understood. The mammalian Target of Rapamycin (mTOR) protein appears to be a key component of AAT regulation [6, 25, 26]. mTOR is a Ser/Thr protein kinase which functions in diverse cell types, connecting growth factor signals with energy and nutrient levels, to control protein metabolism and cell growth [27]. In the placenta, mTOR has been shown to affect the activities of the System A, System L, and taurine AAT [25, 28]. Further in vitro evidence ties mTOR activity to the sub-cellular localization of System A (SNAT2) and System L (LAT1) transporters [26].

Several lines of evidence support an adaptive model of fetal nutrient transport by which transporter function is altered based upon nutrient availability and fetal demand. Under limiting conditions, transport activity is increased in mice and trophoblast cell cultures [29, 30]. Detailed analysis of tumor cells, in which amino acid transport activity and growth must also be adapted to fit limiting nutrient conditions, found that mTOR responses to amino acid concentrations are dependent on ASCT2 and LAT1 transporters, and their substrates L-Glutamine and Leucine, respectively [23, 31, 32]. The available evidence suggests that a similar system is present in the placenta ST, sensing fluctuations in nutrient availability and maintaining transport activities to achieve optimal fetal growth conditions [33]. These observations point to the importance of System L, ASCT2, and mTOR in the placenta as they pertain to fetal growth pathologies.

Preeclampsia and IUGR often arise from the common defect in placental development of impaired spiral artery remodeling [34, 35]. This results in altered blood flow, and possible exposure of the developing fetus to a limited oxygen and nutrient supply. Pre-pregnancy BMI and inadequate maternal weight-gain during pregnancy may also result in restricted nutrient supply, and are additional risk factors for fetal growth restriction [36, 37]. We hypothesized that in all conditions predicted to cause limited amino acid availability to the placental/fetal unit, similar adaptive responses aimed at increasing transport capacity, including increased AAT protein levels, may be observed. In the present study we investigated if the expression of 4F2hc, LAT1, ASCT2, and mTOR proteins in the placenta is changed in potentially nutrition-restricted conditions including preeclampsia and IUGR, or if their expression may be associated with maternal pre-pregnancy body mass index (BMI) or weight gain during pregnancy.

Methods

Study population and sample collection

Placental tissue collection was carried out with informed consent under the approval of the University of Occupational and Environmental Heath (UOEH) IRB Committee. Placentas were obtained primarily after caesarean delivery at full-term or pre-term from women with uncomplicated pregnancies giving birth to babies with normal birth weight (appropriate-for-gestational-age; AGA, full-term and pre-term control pregnancies), as well as from pregnancies complicated by IUGR or preeclampsia.

Preeclampsia (n = 10) was defined as gestational hypertension and proteinuria after 20 weeks gestation. Gestational hypertension was defined as new onset elevated maternal systolic blood pressure (BP) more than 140 mmHg or diastolic BP more than 90 mmHg. Proteinuria was defined as more than 300 mg protein in a 24 hour urine collection or more than 1+ on a catheterized urine specimen or more than 2+ on a voided specimen, or a random urinary protein/creatinine ratio of more than >0.3 [38]. IUGR (n = 10) was defined by a birth weight below the 10th percentile (small for gestational age, SGA) in an otherwise uncomplicated pregnancy. Birth weight centiles were based upon Japanese gender-specific fetal growth data (adjusted for gestational age). Eight of ten IUGR babies exhibited asymmetric growth profiles. Asymmetric growth usually signifies IUGR-affected growth in the third trimester, resulting in a disproportionately low birth weight or length in comparison with occipital frontal head circumference. However, asymmetric growth has no universally accepted formula. Babies were considered to have asymmetric growth when the percentiles were disproportionate, generally following the pattern of total weight before liner growth before head circumference (i.e. weight centile < length centile < head centile). For these data, we defined “significantly less than” to mean plotting in nonadjacent percentile categories (<3rd, 3–5, 5–10, 10–25, 25–50, 50–75, 75–90, 90–95, 95–97, and > 97), wherein weight centile must be at least two categories below length and/or head circumference.

Table 1 shows the demographic data of case and control study subjects. Data are expressed as mean ± standard deviation (s.d.). The expected differences in blood pressure at delivery were observed among normal pregnancy, preeclampsia, and IUGR (systolic/diastolic: 121 ± 9/73 ± 9 mmHg, 162 ± 19/97 ± 10 mmHg, and 122 ± 24/77 ± 22 mmHg), and all were normotensive pregnancy before 20 weeks gestation. Gestational weeks at delivery of pre-term controls, preeclampsia and IUGR were about 5 weeks earlier compared to uncomplicated full term pregnancies. Infant birth weight centile was significantly lower in preeclampsia or IUGR compared to uncomplicated full term and preterm pregnancies. The incidence of maternal smoking was not different between groups. Caesarean section in uncomplicated pregnancy was due to repeat-caesarean section or breech presentation. A limited number of samples were obtained after vaginal delivery, particularly in the pre-term normal pregnancy group due to the limited number of available samples.

Table 1 Characteristic averages of pregnancy groups
Full size table

The clinical characteristics for each newborn with IUGR or born to women with preeclampsia is presented in Table 2. Newborns 1 to 10 are normotensive IUGR-associated, and 11 to 20 are associated with preeclampsia. All but two infants (number 12 and 14) born to women with preeclampsia also fit the criteria of SGA. The rate of oligohydramnios was 30% in both preeclampsia and IUGR. The infant of patient number 5 in Table 2 exemplifies asymmetric growth. This infant has a birth weight centile of 1.4 (category < 3rd), length percentile < 3, and head circumference centile 10–25 (two categories greater than birth weight and length). Eight of ten IUGR babies, and six of the eight SGA babies in preeclampsia, exhibited asymmetric profiles.

Table 2 Clinical characteristics of IUGR and preeclampsia
Full size table

Immunohistochemistry

Formalin fixed paraffin embedded placental tissue samples (1 sample per placenta, collected between the rim and point of chord insertion) were obtained from the tissue bank facility of the UOEH Pathology Department with IRB approval (full term pregnancy, n = 10; pre-term, n = 10; preeclampsia, n = 10; and IUGR, n = 10). Paraffin sections (3.5 μm) were incubated overnight at 37°C or 1 hr at 65°C, deparaffinized in xylenes and rehydrated in ethanol and water. Slides underwent antigen retrieval in citrate buffer, pH6.0, followed by peroxidase blocking (Block, Dako, Tokyo, Japan) before incubation with the appropriate primary Ab diluted in PBS, 1 hr, RT. Detection was performed using Envision HRP-conjugated secondary Ab and DAB color development system (DAKO) for consistent development time between samples. Immunohistochemistry (IHC) results were qualitatively estimated in a blinded fashion by two individuals. Chromogenic signal intensity was assigned a relative score of 0 (no signal), 1 (weak signal detected), 2 (moderate), and 3 (strong) [39]. The scores of five fields of view were averaged for each slide. For each placenta sample and each antigen, two or three slides made from non-consecutive sections were stained and scored in independent IHC experiments.

Antibodies and chemicals

Primary antibodies recognized Cytokeratin7 (Sigma, St. Louis, MO, USA); 4F2hc and LAT1 (KEO20 and KEO23, respectively, Transgenic, Inc., Kobe, Japan); mTOR (ab2732, Abcam, Tokyo, Japan); and ASCT2/SLC1A5 (H-52, Santa Crus, CA, USA). All chemicals were purchased from Sigma unless noted.

Data presentation and statistics

The sample size (n) is the number of different placentas representing each case or control group. Clinical characteristics data (Tables 1 and 2) were assessed by ANOVA. IHC scoring was assessed by t-test. Statistical significance was accepted at p < 0.05.

Results

Comparison of AAT protein expression levels between PE, IUGR and both full- and pre-term uncomplicated pregnancies using Immunohistochemistry

To begin investigating the regulation of AAT under conditions of normal and limiting nutrient availability, the expression level and localization of three AAT proteins, LAT1, 4F2hc, and ASCT2, were determined in placenta samples from IUGR, PE and both full-term and maternal age-matched pre-term controls using immunohistochemistry (IHC). Cytokeratin 7 (CK7) was included as a ST cell marker, and as a control for levels of non-nutrient transport-associated proteins. CK7 was present predominantly throughout the ST of the microvillous. CK7 levels were similar between all four pregnancy groups (Figure 1, A-D). AAT proteins 4F2hc, LAT1, and ASCT2 were also localized to the ST of the microvillous (Figures 1, E-H, and 2, I-P).

Figure 1
figure 1

Localization of Cytokeratin and the AAT 4F2hc. Immunohistochemistry staining for Cytokeratin 7 (A-D) and AAT 4F2hc (E-H) in placenta from Full-term control (CTRL) (A,E), Preterm control (B,F), PE (C,G), and IUGR, (D,H) associated placentas. (➢ Arrow denotes syncytiotrophoblast apical MVM (a), basal membrane (b), and cytoplasm (c), or cytotrophoblasts (ct). Size bar in A = 100 μm).

Full size image
Figure 2
figure 2

Localization of the AATs LAT1 and ASCT2. Immunohistochemistry staining for LAT1 (I-L) and ASCT2 (M-P), in placenta from Full-term control (CTRL) (I,M), Preterm control (J,N), PE (K,O), and IUGR (L,P) associated placentas. (➢ Arrow denotes syncytiotrophoblast apical MVM (a), basal membrane (b), and cytoplasm (c), or cytotrophoblasts (ct). Size bar in A = 100 μm).

Full size image

The common heavy chain subunit 4F2hc was primarily observed in microvillous ST, as previously described [24, 40]. Staining was diffuse across the cytoplasm. Some localized signal was present at both the apical MVM and basal plasma membranes (Figure 1, E-H). The light chain subunit LAT1 was also observed in the ST, with additional staining in some stromal cells of the microvillous. (Figure 2, I-L). LAT1 was partially concentrated at the apical MVM, and was detected throughout the cytoplasmic compartment. Subcellular localization of 4F2hc and LAT1 was similar in full-term and pre-term controls and both PE and IUGR groups. Interestingly, 4F2hc and LAT1, staining was of greater intensity in IUGR and PE associated placenta compared to both the full-term and pre-term controls (Figures 1, E-H, and 2, I-L).

To quantify these differences in AAT protein levels, blinded scoring of the IHC results was performed. Multiple fields of view from each stained slide were assigned a relative score of 0 (no signal), 1 (weak signal detected), 2 (moderate), and 3 (strong) based upon staining intensity [39]. Scoring of signal intensity confirmed that 4F2hc and LAT1 protein levels were significantly higher in both PE and IUGR, compared to controls (p < 0.05, Figure 3). No significant differences were measured between full-term and pre-term control groups, or between PE and IUGR, although 4F2hc levels in IUGR scored the highest. For comparison, CK7-specific staining intensity was scored and no difference in intensity between groups was observed (Figures 1, A-D, and 3).ASCT2 protein was localized to both the microvillous ST and cytotrophoblasts (CT) by IHC (Figure 2, M-P). Staining was strongest in CT membranes and the ST basal plasma membrane. Some variation was observed in staining intensity in CT between samples. In some samples, staining was very strong around the entire CT membrane perimeter, while staining was limited to regions bordering with the ST in others. Overall, we were unable to detect any association of these distinct staining patterns with samples from either uncomplicated or pathological conditions. Estimation of ASCT2 protein levels using the blinded scoring method found the only significant difference in ASCT2 to be between the IUGR and full-term control groups (Figure 3).

Figure 3
figure 3

Amino Acid Transporter protein levels in placenta microvillous syncytiotrophoblasts. Protein levels were estimated by blind scoring of IHC-stained formaldehyde fixed samples from the 4 different pregnancy conditions (n = 10 each, * p < 0.05). Data is presented in box and whisker format to define minimum and maximun values (capped bars), 2nd and 3rd quartile (box top and bottom) and median (line through box). Data was normalized to full term controls (mean set to 1, grey dashed line).

Full size image

In addition to overall protein levels within the ST layer, we also wished to compare AAT protein localization, a common mechanism of AAT activity regulation [30, 41]. By IHC, both 4F2hc and LAT1 appeared relatively diffuse, with proteins being detected in ST cytoplasm and MVM, making a quantitative estimation with respect to localization very difficult. ASCT2 exhibited strong staining of the cytotrophoblast as well as ST basal plasma membrane, and this staining appeared consistent across all samples. However, different patterns of staining with respect to ST intracellular cytoclasmic space and MVM localization were present within the sample set (Figure 4, A-D). The same blinded scoring system was employed to grade ST cytoplasmic and MVM localized staining intensity for ASCT2. Pre-term control and PE placenta samples both exhibited reduced levels of ASCT2 at the MVM and in the intracellular compartment compared to full-term controls, but these differences were non-significant. The IUGR group exhibited the lowest ASCT2 levels at the MVM (ASCT2MVM) and in the intracellular compartment (ASCT2IC) (Figure 4). IUGR ASCT2MVM levels were significantly different from both full-term and pre-term control groups (P = 0.0006, 0.017, respectively), and IUGR ASCT2IC was significantly lower than the full-term control group (P = 0.03, Figure 4E).

Figure 4
figure 4

ASCT2 protein localization within the syncytiotrophoblast. ASCT2 protein was detected by immunohistochemistry in the placenta of A, full-term control, B, pre-term control, C, preeclampsia and D, intrauterine growth restriction-associated pregnancies. E, ASCT2 protein expression levels were estimated in the syncytiotrophoblast, including subcellular localization at the plasma membrane (PM), microvillus membrane (MVM), and the intracellular compartment (IC) (* P < 0.05, size bar = 40 mM).

Full size image

Comparison of mTOR protein levels between Normal, PE and IUGR-associated placenta

Our current understanding of amino acid transporter regulation includes a central role for mTOR in responding to nutrient levels and hormone stimuli. Therefore we continued our immunohistological investigation of predicted differences in AAT machinery with the examination of mTOR in these four placenta groupings. The cellular localization of mTOR in term, pre-term, PE, and IUGR pregnancies appeared similar, primarily cytoplasmic in the ST (Figure 5, A-D). Stronger staining, corresponding to higher mTOR protein levels, was observed in all three groups associated with early gestation periods, compared to full-term pregnancy. mTOR staining in IUGR associated samples was the strongest, and significantly different from full-term controls (p = 0.002, Figure 5, A-D) but not from pre-term controls (p = 0.07). In both PE and IUGR samples, intense mTOR staining was frequently co-localized with nuclear syncytia (Figure 5, C and D).

Figure 5
figure 5

mTOR protein expression in placenta ST. Placenta of A, full-term control, B, pre-term control, C, preeclampsia, and D, intrauterine growth restriction-associated pregnancies were probed with antibodies recognizing total mTOR protein. (➢ Arrow denotes ns, nuclei syncytia. Size bar in A = 100 mM). E, Estimated mTOR IHC scoring data is presented in box and whiskar format to define minimum and maximun values (capped bars), 2nd and 3rd quartile (box) and median (line through box). Data was normalized to full term controls (mean set to 1, grey dashed line) (n = 10 each, * p < 0.05).

Full size image

Examination of AAT and mTOR protein levels in relation to weight gain during pregnancy and pre-pregnancy BMI

To further test the hypothesis that limited nutrient availability may stimulate compensatory increases in AAT expression in order to increase transport potential, we examined the relationship between AAT and mTOR protein expression with weight gain during pregnancy and pre-pregnancy BMI, factors directly associated with placental nutrient availability and fetal growth [36, 37, 42]. To do this, the protein expression levels estimated by blinded scoring of IHC results for the 40 samples representing full- and pre-term pregnancies, PE and IUGR-associated pregnancies, were analyzed with respect to weight gain and BMI (Table 3). First, AAT and mTOR levels were compared between two weight gain groups, less than adequate- and equal to or greater than adequate weight gain/week. Adequate weight gain was defined according to the 2009 Institute of Medicine guidelines which take into account pre-pregnancy BMI values in estimating adequate weight-gain ranges [43]. Briefly, adequate weight gain ranges for different BMI values were as follows: BMI < 18.5 kg/m2, 0.44-0.58 kg/week; BMI of 18.5 to 24.9 kg/m2, 0.35-0.5 kg/week; BMI of 25 to 29.9 kg/m2, 0.23-0.33 kg/week; and BMI > 29.9 kg/m2, 0.17-0.27 kg/week.

Table 3 Association of AA Transporter, mTOR expression with Maternal Weight Gain and BMI
Full size table

Elevated placenta levels of 4F2hc were observed in the less than adequate weight gain group relative to the adequate and above weight gain group, although this difference was not found to be significant by t-test (1.26 ± .51 vs. 1.03 ± .28 respectively; p = 0.211). No difference between weight gain groups was observed in over-all staining levels for any of the AAT or mTOR proteins, or ASCT2 subcellular localization (Table 3). Second, AAT and mTOR protein level values were sorted equally (n = 20 for each) into lower (BMI range 15.7 to 17.4) and upper pre-pregnancy BMI groups (BMI range 17.7 to 35). In this case, significant associations were identified. Elevated ASCT2 and mTOR protein levels were associated with higher BMI values (p = 0.046, 0.048, respectiviely; Table 3). Overall, these observations further help to define the extent of amino acid transporter regulation in the placenta and its close association with both nutrient availability and maternal metabolism as it relates to pre-pregnancy BMI.

Discussion

Summary

Amino acid transporter and mTOR protein levels in placental syncytiotrophoblast cells were estimated by immunohistochemistry in a blinded and relative qualitative scoring system [39]. Our findings support the adaptive response hypothesis of placental nutrient transport function, and suggest that AAT protein levels and cellular localization are affected by limiting nutrient availability. Specifically, increases in protein levels of System L amino acid transporter LAT1 and regulator mTOR, as well as changes in subcellular localization of ASCT2 protein were observed in PE and IUGR, compared to full- and pre-term normal pregnancy controls.

The importance of AAT and the adaptive response

Fetal growth is dependent on maternal nutrient supply and placenta nutrient transport capacity. The latter is determined by the expression and regulation of multiple transport systems. Several lines of evidence confirm that reduced amino acid transport capacity significantly contributes to the IUGR phenotype including lower placental AAT activities, and protein levels in isolated syncytiotrophoblast membranes [8, 11–14, 19]. However, the mechanism by which placental AAT activity may be reduced so severely as to promote IUGR it is not known. The experiments described here were aimed at investigating AAT protein levels in situ and associations during normal and restricted growth conditions. Our observations of elevated 4F2hc and LAT1 protein in ST of PE and IUGR placenta may be unexpected and potentially conflicting with the reports described above of both reduced AAT activities and protein levels in isolated microvillous membranes. However, these data do support the involvement of an adaptive response in placentas associated with both PE and IUGR in the form of increased transporter protein expression. In the adaptive response model nutrient supply and fetal demand are sensed by the placenta and adjustments are made to maintain an adequate nutrient supply [34]. This adaptive response is well described in muscle believed to be important in the placenta for regulation of System L, as well as System A and other transporter systems [6, 30, 41, 44].

Similar changes in AAT protein expression were observed in PE as in IUGR, which we argue is because the PE group is also associated with conditions of reduced blood flow and nutrient restriction. PE is currently described as a disease with two distinct contributing sets of factors, insufficient placentation (placental preeclampsia), and maternal deficiencies of the endothelium and other systems (maternal preeclampsia) [35]. Staff, et al., state that all PE cases are likely due to a combination of both maternal and placental factors. Our PE sample set (n = 10) included 8 SGA births, and two births below the 20th centile gestational weight at birth. Therefore, while nutrient insufficiency may not be as severe in some IUGR cases, placental insufficiency and limiting nutrient availability is likely a major component of all PE cases included in this study.

mTOR protein levels in IUGR verses PE

In addition to increases in AAT protein levels, we also observed an increase in total mTOR protein levels in IUGR-associated placenta. Unlike the AAT proteins, the mTOR increase was unique to IUGR, not being observed in the PE group. Recent work has identified the protein kinase mTOR as an important component of the signaling pathway between nutrient availability, insulin hormone signaling, and AAT activity in the placenta [28, 45]. Our work is in agreement with Roos, et al., who observed increased total mTOR protein in IUGR [25]. Here, we extend these observations by demonstrating a link between mTOR and pre-pregnancy BMI values as well. In cancer cells, increased mTOR signaling is believed to allow survival under nutrient-restricted conditions of the tumor environment [46]. Our observation is limited to total mTOR protein levels, as it does not include an analysis of relevant mTOR kinase substrates or the phosphorylation state of mTOR itself. Additional work is needed to evaluate mTOR activities in the human placenta in vivo, comparing normal and pathological conditions.

Post-translational control of nutrient transporters

We observed a loss of ASCT2 protein in the MVM and intracellular compartment in IUGR-associated placenta. This may directly result in the reduced protein transport activities expected to be so critical in the development of IUGR. ASCT2 function may be particularly important because of its role in maintaining intracellular levels of glutamine, the main substrate for amino acid exchangers including System L. The importance of ASCT2 and glutamine transport has recently come to light with reports that elevated ASCT2 activity allows many cancers to escape the restriction of limited nutrient availability by increasing overall amino acid transport [47]. Knocking down ASCT2 protein expression in vitro confirmed that its glutamine transport function was a rate limiting step for other amino acid transport activities.

Our observation lends additional support to the importance of post-translational regulation of nutrient transport activities in the placenta. Reports by Roos et.al, and Rosario et al. demonstrate the important role of post translational regulation via protein trafficking in syncytiotrphoblast cultures [26, 45]. In the first, mTOR inhibition was shown to reduce AAT activity [45]. More recently, inhibition of mTOR was shown to modify the post translation regulation of AAT, resulting in decreased plasma membrane localization [26]. Based upon the available data, one model predicts low mTOR activity would be dominant to the presence of a compensatory increase of AAT protein expression, resulting in reduced AAT transport activity in the syncytiotroblast.

Maternal weight gain, BMI and nutrient restriction

Pre-pregnancy body-mass index (BMI) and maternal weight gain during pregnancy has a strong influence over fetal weight at gestation. Insufficient weight gain is associated with an increased risk of IUGR, preterm birth, and perinatal mortality, while sufficient weight gain may overcome additional risks for restricted fetal growth [36, 37, 42]. In 2009, the Institute of Medicine (IOM) of the National Academy of Sciences reexamined the guidelines for weight gain during pregnancy, and utilized BMI values to established optimal ranges of weight gain for the best maternal and fetal outcomes [43]. A recent survey demonstrated the importance of BMI values and appropriate nutritional availability to the fetus based upon these guidelines [48]. Taking advantage of the predicted differences in nutrient availability to the fetus associated with BMI and changes in gestational weight gain, we examined AAT and mTOR levels with respect to both gestational weight gain and pre-pregnancy BMI, independently. Interestingly, maternal pre-pregnancy BMI, but not weight gain, was estimated to be a predictor of both ASCT2 and mTOR levels in placenta, with higher levels of both proteins associated with higher BMI values. This result for ASCT2 parallels the positive association of BMI and reduced risk of fetal growth restriction [37, 43]. It also provides additional evidence in support of the importance of ASCT2 and mTOR activity in the placenta.

Conclusions

In IUGR and preeclampsia, the fetus may be exposed to nutrient limitations caused by abnormal remodeling of the uterine spiral arteries [49]. However, a successful adaptive response is predicted to result in sufficient placental nutrient transport to overcome a state of fetal growth restriction. Our data may be explained by a model in which two events regulate AAT activity. First, an adaptive response includes increased System L transporter protein expression in ST, as observed here in both PE and IUGR. Second, post-translational modifications altering AAT protein localization including ASCT2 may lead to the loss of microvillous membrane localized AAT, and therefore an overall loss of activity, resulting in growth-limiting levels of amino acid transporter activity.

Author’s contributions

YA carried out immunohistochemistry experiments, blinded scoring, and statistical analysis, and participated in data interpretation, generating figures, writing and revising. DJA carried out immunohistochemistry experiments and blinded scoring, participated in data interpretation, generating figures, writing and revising. SA, MM and CT participated in sample collections and immunohistochemistry experiments. TH acquired funding and participated in experiment design, data interpretation, writing and revising. RS participated in analyzing and interpreting data, generating figures, writing and revising. TK acquired funding and participated in experiment design and data interpretation. MT participated in experiment design and data interpretation, writing and revising. ES acquired funding and participated in experiment design and data interpretation, writing and revising. All authors read and approved the final manuscript.

Abbreviations

AAT:

Amino acid transporter

ASCT2:

Alanine/ Serine/ Cysteine/ Threonine Transporter 2

mTOR:

Mammalian target of Rapamycin

SLC3A2:

Solute carrier family 3 member A2

SLC38A1:

Solute carrier family 8 member A1

SLC1A4:

Solute carrier family 1 member A4

SLC5A7:

Solute carrier family 5 member A7

4F2hc:

Amino acid transporter protein 4 F2 heavy chain

LAT1:

L-type amino acid transporter

EEA:

Essential amino acids

BCAA:

Branched-chain amino acids

PE:

Preeclampsia

IUGR:

Intrauterine growth restriction

AGA:

Appropriate for gestational age

SGA:

Small for gestational age

BMI:

Body mass index

BP:

Blood pressure

mmHg:

millimeters of Mercury

ST:

Syncytiotrophoblast

CT:

Cytotrophoblast

MVM:

Microvillous membrane

SNAT:

Sodium-dependent neutral amino acid transporter

s.d.:

Standard deviation

PBS:

Phosphate buffered saline

Ab:

Antibody

IHC:

Immunohistochemistry

HRP:

Horse radish peroxidase

DAB:

3,3' Diaminobenzidine

ANOVA:

Analysis of variance

CK7:

Cytokeratin 7

IC:

Intracellular

IOM:

Institute of Medicine.

References

  1. Barker DJ, Gluckman PD, Godfrey KM, Harding JE, Owens JA, Robinson JS: Fetal nutrition and cardiovascular disease in adult life. Lancet. 1993, 341: 938-941. 10.1016/0140-6736(93)91224-A.

    Article  CAS  PubMed  Google Scholar 

  2. Gluckman PD, Hanson MA, Spencer HG, Bateson P: Environmental influences during development and their later consequences for health and disease: implications for the interpretation of empirical studies. Proc Biol Sci. 2005, 272: 671-677. 10.1098/rspb.2004.3001.

    Article  PubMed  PubMed Central  Google Scholar 

  3. Hales CN, Barker DJ: The thrifty phenotype hypothesis. Br Med Bull. 2001, 60: 5-20. 10.1093/bmb/60.1.5.

    Article  CAS  PubMed  Google Scholar 

  4. Sibley CP: Understanding placental nutrient transfer–why bother? New biomarkers of fetal growth. J Physiol. 2009, 587: 3431-3440. 10.1113/jphysiol.2009.172403.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  5. Jansson T, Powell TL: Placental nutrient transfer and fetal growth. Nutrition. 2000, 16: 500-502. 10.1016/S0899-9007(00)00323-3.

    Article  CAS  PubMed  Google Scholar 

  6. Roos S, Powell TL, Jansson T: Placental mTOR links maternal nutrient availability to fetal growth. Biochem Soc Trans. 2009, 37: 295-298. 10.1042/BST0370295.

    Article  CAS  PubMed  Google Scholar 

  7. Jansson T, Powell TL: IFPA 2005 Award in Placentology Lecture. Human placental transport in altered fetal growth: does the placenta function as a nutrient sensor? -- a review. Placenta. 2006, 27 (Suppl A): S91-S97.

    Article  PubMed  Google Scholar 

  8. Glazier JD, Cetin I, Perugino G, Ronzoni S, Grey AM, Mahendran D, Marconi AM, Pardi G, Sibley CP: Association between the activity of the system A amino acid transporter in the microvillous plasma membrane of the human placenta and severity of fetal compromise in intrauterine growth restriction. Pediatr Res. 1997, 42: 514-519. 10.1203/00006450-199710000-00016.

    Article  CAS  PubMed  Google Scholar 

  9. Jansson T, Ylven K, Wennergren M, Powell TL: Glucose transport and system A activity in syncytiotrophoblast microvillous and basal plasma membranes in intrauterine growth restriction. Placenta. 2002, 23: 392-399. 10.1053/plac.2002.0826.

    Article  CAS  PubMed  Google Scholar 

  10. Shibata E, Hubel CA, Powers RW, von Versen-Hoeynck F, Gammill H, Rajakumar A, Roberts JM: Placental system A amino acid transport is reduced in pregnancies with small for gestational age (SGA) infants but not in preeclampsia with SGA infants. Placenta. 2008, 29: 879-882. 10.1016/j.placenta.2008.07.001.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  11. Jansson T, Scholtbach V, Powell TL: Placental transport of leucine and lysine is reduced in intrauterine growth restriction. Pediatr Res. 1998, 44: 532-537. 10.1203/00006450-199810000-00011.

    Article  CAS  PubMed  Google Scholar 

  12. Norberg S, Powell TL, Jansson T: Intrauterine growth restriction is associated with a reduced activity of placental taurine transporters. Pediatr Res. 1998, 44: 233-238. 10.1203/00006450-199808000-00016.

    Article  CAS  PubMed  Google Scholar 

  13. Roos S, Powell TL, Jansson T: Human placental taurine transporter in uncomplicated and IUGR pregnancies: cellular localization, protein expression, and regulation. Am J Physiol Regul Integr Comp Physiol. 2004, 287: R886-R893. 10.1152/ajpregu.00232.2004.

    Article  CAS  PubMed  Google Scholar 

  14. Godfrey KM, Matthews N, Glazier J, Jackson A, Wilman C, Sibley CP: Neutral amino acid uptake by the microvillous plasma membrane of the human placenta is inversely related to fetal size at birth in normal pregnancy. J Clin Endocrinol Metab. 1998, 83: 3320-3326.

    CAS  PubMed  Google Scholar 

  15. Cramer S, Beveridge M, Kilberg M, Novak D: Physiological importance of system A-mediated amino acid transport to rat fetal development. Am J Physiol Cell Physiol. 2002, 282: C153-C160.

    CAS  PubMed  Google Scholar 

  16. Jansson N, Pettersson J, Haafiz A, Ericsson A, Palmberg I, Tranberg M, Ganapathy V, Powell TL, Jansson T: Down-regulation of placental transport of amino acids precedes the development of intrauterine growth restriction in rats fed a low protein diet. J Physiol. 2006, 576: 935-946. 10.1113/jphysiol.2006.116509.

    CAS  PubMed  PubMed Central  Google Scholar 

  17. Kudo Y, Boyd CA: Human placental amino acid transporter genes: expression and function. Reproduction. 2002, 124: 593-600. 10.1530/rep.0.1240593.

    Article  CAS  PubMed  Google Scholar 

  18. Grillo MA, Lanza A, Colombatto S: Transport of amino acids through the placenta and their role. Amino Acids. 2008, 34: 517-523. 10.1007/s00726-007-0006-5.

    Article  CAS  PubMed  Google Scholar 

  19. Jansson T, Ekstrand Y, Bjorn C, Wennergren M, Powell TL: Alterations in the activity of placental amino acid transporters in pregnancies complicated by diabetes. Diabetes. 2002, 51: 2214-2219. 10.2337/diabetes.51.7.2214.

    Article  CAS  PubMed  Google Scholar 

  20. Chen CP, Wang KG, Chen CY, Yu C, Chuang HC, Chen H: Altered placental syncytin and its receptor ASCT2 expression in placental development and pre-eclampsia. BJOG. 2006, 113: 152-158. 10.1111/j.1471-0528.2005.00843.x.

    Article  PubMed  Google Scholar 

  21. Bode BP, Fuchs BC, Hurley BP, Conroy JL, Suetterlin JE, Tanabe KK, Rhoads DB, Abcouwer SF, Souba WW: Molecular and functional analysis of glutamine uptake in human hepatoma and liver-derived cells. Am J Physiol Gastrointest Liver Physiol. 2002, 283: G1062-G1073.

    CAS  PubMed  Google Scholar 

  22. Fuchs BC, Perez JC, Suetterlin JE, Chaudhry SB, Bode BP: Inducible antisense RNA targeting amino acid transporter ATB0/ASCT2 elicits apoptosis in human hepatoma cells. Am J Physiol Gastrointest Liver Physiol. 2004, 286: G467-G478. 10.1152/ajpgi.00344.2003.

    Article  CAS  PubMed  Google Scholar 

  23. Nicklin P, Bergman P, Zhang B, Triantafellow E, Wang H, Nyfeler B, Yang H, Hild M, Kung C, Wilson C, Myer VE, MacKeigan JP, Porter JA, Wang YK, Cantley LC, Finan PM, Murphy LO: Bidirectional transport of amino acids regulates mTOR and autophagy. Cell. 2009, 136: 521-534. 10.1016/j.cell.2008.11.044.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  24. Okamoto Y, Sakata M, Ogura K, Yamamoto T, Yamaguchi M, Tasaka K, Kurachi H, Tsurudome M, Murata Y: Expression and regulation of 4F2hc and hLAT1 in human trophoblasts. Am J Physiol Cell Physiol. 2002, 282: C196-C204.

    Article  CAS  PubMed  Google Scholar 

  25. Roos S, Jansson N, Palmberg I, Saljo K, Powell TL, Jansson T: Mammalian target of rapamycin in the human placenta regulates leucine transport and is down-regulated in restricted fetal growth. J Physiol. 2007, 582: 449-459. 10.1113/jphysiol.2007.129676.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  26. Rosario FJ, Kanai Y, Powell TL, Jansson T: Mammalian target of rapamycin signalling modulates amino acid uptake by regulating transporter cell surface abundance in primary human trophoblast cells. J Physiol. 2013, 591: 609-625. 10.1113/jphysiol.2012.238014.

    Article  CAS  PubMed  Google Scholar 

  27. Wullschleger S, Loewith R, Hall MN: TOR signaling in growth and metabolism. Cell. 2006, 124: 471-484. 10.1016/j.cell.2006.01.016.

    Article  CAS  PubMed  Google Scholar 

  28. Roos S, Lagerlof O, Wennergren M, Powell TL, Jansson T: Regulation of amino acid transporters by glucose and growth factors in cultured primary human trophoblast cells is mediated by mTOR signaling. Am J Physiol Cell Physiol. 2009, 297: C723-C731. 10.1152/ajpcell.00191.2009.

    Article  CAS  PubMed  Google Scholar 

  29. Coan PM, Vaughan OR, Sekita Y, Finn SL, Burton GJ, Constancia M, Fowden AL: Adaptations in placental phenotype support fetal growth during undernutrition of pregnant mice. J Physiol. 2010, 588: 527-538. 10.1113/jphysiol.2009.181214.

    Article  CAS  PubMed  Google Scholar 

  30. Jones HN, Ashworth CJ, Page KR, McArdle HJ: Expression and adaptive regulation of amino acid transport system A in a placental cell line under amino acid restriction. Reproduction. 2006, 131: 951-960. 10.1530/rep.1.00808.

    Article  CAS  PubMed  Google Scholar 

  31. Fuchs BC, Bode BP: Amino acid transporters ASCT2 and LAT1 in cancer: partners in crime?. Semin Cancer Biol. 2005, 15: 254-266. 10.1016/j.semcancer.2005.04.005.

    Article  CAS  PubMed  Google Scholar 

  32. Fuchs BC, Finger RE, Onan MC, Bode BP: ASCT2 silencing regulates mammalian target-of-rapamycin growth and survival signaling in human hepatoma cells. Am J Physiol Cell Physiol. 2007, 293: C55-C63. 10.1152/ajpcell.00330.2006.

    Article  CAS  PubMed  Google Scholar 

  33. Dodd KM, Tee AR: Leucine and mTORC1: a complex relationship. Am J Physiol Endocrinol Metab. 2012, 302: E1329-E1342. 10.1152/ajpendo.00525.2011.

    Article  CAS  PubMed  Google Scholar 

  34. Burton GJ, Jauniaux E, Charnock-Jones DS: The influence of the intrauterine environment on human placental development. Int J Dev Biol. 2010, 54: 303-312. 10.1387/ijdb.082764gb.

    Article  CAS  PubMed  Google Scholar 

  35. Staff AC, Benton SJ, von Dadelszen P, Roberts JM, Taylor RN, Powers RW, Charnock-Jones DS, Redman CW: Redefining preeclampsia using placenta-derived biomarkers. Hypertension. 2013, 61: 932-942. 10.1161/HYPERTENSIONAHA.111.00250.

    Article  CAS  PubMed  Google Scholar 

  36. Drehmer M, Duncan BB, Kac G, Schmidt MI: Association of second and third trimester weight gain in pregnancy with maternal and fetal outcomes. PLoS One. 2013, 8: e54704-10.1371/journal.pone.0054704.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  37. Cheng CJ, Bommarito K, Noguchi A, Holcomb W, Leet T: Body mass index change between pregnancies and small for gestational age births. Obstet Gynecol. 2004, 104: 286-292. 10.1097/01.AOG.0000134526.37657.b0.

    Article  PubMed  Google Scholar 

  38. Report of the National High Blood Pressure Education Program Working Group on High Blood Pressure in Pregnancy. Am J Obstet Gynecol. 2000, 183 (S1): S22-

  39. Dhingra S, Rodriguez ME, Shen Q, Duan X, Stanton ML, Chen L, Zhang R, Brown RE: Constitutive activation with overexpression of the mTORC2-phospholipase D1 pathway in uterine leiomyosarcoma and STUMP: morphoproteomic analysis with therapeutic implications. Int J Clin Exp Pathol. 2011, 4: 134-146.

    CAS  Google Scholar 

  40. Dye JF, Vause S, Johnston T, Clark P, Firth JA, D’Souza SW, Sibley CP, Glazier JD: Characterization of cationic amino acid transporters and expression of endothelial nitric oxide synthase in human placental microvascular endothelial cells. FASEB J. 2004, 18: 125-127.

    CAS  PubMed  Google Scholar 

  41. Hyde R, Christie GR, Litherland GJ, Hajduch E, Taylor PM, Hundal HS: Subcellular localization and adaptive up-regulation of the System A (SAT2) amino acid transporter in skeletal-muscle cells and adipocytes. Biochem J. 2001, 355: 563-568.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  42. Davis RR, Hofferth SL: The association between inadequate gestational weight gain and infant mortality among U.S. infants born in 2002. Matern Child Health J. 2012, 16: 119-124.

    Article  PubMed  PubMed Central  Google Scholar 

  43. Rasmussen KM, Catalano PM, Yaktine AL: New guidelines for weight gain during pregnancy: what obstetrician/gynecologists should know. Curr Opin Obstet Gynecol. 2009, 21: 521-526. 10.1097/GCO.0b013e328332d24e.

    Article  PubMed  PubMed Central  Google Scholar 

  44. Hyde R, Cwiklinski EL, MacAulay K, Taylor PM, Hundal HS: Distinct sensor pathways in the hierarchical control of SNAT2, a putative amino acid transceptor, by amino acid availability. J Biol Chem. 2007, 282: 19788-19798. 10.1074/jbc.M611520200.

    Article  CAS  PubMed  Google Scholar 

  45. Roos S, Kanai Y, Prasad PD, Powell TL, Jansson T: Regulation of placental amino acid transporter activity by mammalian target of rapamycin. Am J Physiol Cell Physiol. 2009, 296: C142-C150.

    Article  CAS  PubMed  Google Scholar 

  46. DeBerardinis RJ, Lum JJ, Hatzivassiliou G, Thompson CB: The biology of cancer: metabolic reprogramming fuels cell growth and proliferation. Cell Metab. 2008, 7: 11-20. 10.1016/j.cmet.2007.10.002.

    Article  CAS  PubMed  Google Scholar 

  47. Tennant DA, Duran RV, Boulahbel H, Gottlieb E: Metabolic transformation in cancer. Carcinogenesis. 2009, 30: 1269-1280. 10.1093/carcin/bgp070.

    Article  CAS  PubMed  Google Scholar 

  48. Simas TA, Waring ME, Liao X, Garrison A, Sullivan GM, Howard AE, Hardy JR: Prepregnancy weight, gestational weight gain, and risk of growth affected neonates. J Womens Health (Larchmt). 2012, 21: 410-417. 10.1089/jwh.2011.2810.

    Article  Google Scholar 

  49. Roberts JM, Hubel CA: Is oxidative stress the link in the two-stage model of pre-eclampsia?. Lancet. 1999, 354: 788-789. 10.1016/S0140-6736(99)80002-6.

    Article  CAS  PubMed  Google Scholar 

Pre-publication history

Download references

Acknowledgements

This research was supported by a national grant of the Japanese Ministry of the Environment (C-1006).

Author information

Authors and Affiliations

  1. Department of Obstetrics and Gynecology, School of Medicine, University of Occupational and Environmental Health, Kitakyushu, Fukuoka, Japan

    Yukiyo Aiko, David J Askew, Satoshi Aramaki, Mai Myoga, Chiharu Tomonaga, Toru Hachisuga, Reiko Suga & Eiji Shibata

  2. Japan Environment and Children’s Study, UOEH Subunit Center, University of Occupational and Environmental Health, 1-1 Iseigaoka, Yahatanishi-ku, Kitakyushu, Fukuoka, 807-8555, Japan

    Yukiyo Aiko, David J Askew, Toru Hachisuga, Reiko Suga, Toshihiro Kawamoto & Eiji Shibata

  3. Department of Environmental Health, School of Medicine, University of Occupational and Environmental Health, Kitakyushu, Fukuoka, Japan

    Toshihiro Kawamoto & Mayumi Tsuji

Authors
  1. Yukiyo Aiko
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. David J Askew
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Satoshi Aramaki
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Mai Myoga
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Chiharu Tomonaga
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Toru Hachisuga
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Reiko Suga
    View author publications

    You can also search for this author in PubMed Google Scholar

  8. Toshihiro Kawamoto
    View author publications

    You can also search for this author in PubMed Google Scholar

  9. Mayumi Tsuji
    View author publications

    You can also search for this author in PubMed Google Scholar

  10. Eiji Shibata
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Eiji Shibata.

Additional information

Competing interests

The authors have no competing interests to declare.

Authors’ original submitted files for images

Rights and permissions

Open Access This article is published under license to BioMed Central Ltd. This is an Open Access article is distributed under the terms of the Creative Commons Attribution License ( https://creativecommons.org/licenses/by/2.0 ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver ( https://creativecommons.org/publicdomain/zero/1.0/ ) applies to the data made available in this article, unless otherwise stated.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Aiko, Y., Askew, D.J., Aramaki, S. et al. Differential levels of amino acid transporters System L and ASCT2, and the mTOR protein in placenta of preeclampsia and IUGR. BMC Pregnancy Childbirth 14, 181 (2014). https://doi.org/10.1186/1471-2393-14-181

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/1471-2393-14-181

Keywords

BMC Pregnancy and Childbirth

ISSN: 1471-2393

Contact us