Literature DB >> 26132581

Is Placental Mitochondrial Function a Regulator that Matches Fetal and Placental Growth to Maternal Nutrient Intake in the Mouse?

Marcos R Chiaratti1, Sajida Malik2, Alan Diot2, Elizabeth Rapa2, Lorna Macleod2, Karl Morten2, Manu Vatish2, Richard Boyd3, Joanna Poulton2.   

Abstract

BACKGROUND: Effective fetal growth requires adequate maternal nutrition coupled to active transport of nutrients across the placenta, which, in turn requires ATP. Epidemiological and experimental evidence has shown that impaired maternal nutrition in utero results in an adverse postnatal phenotype for the offspring. Placental mitochondrial function might link maternal food intake to fetal growth since impaired placental ATP production, in response to poor maternal nutrition, could be a pathway linking maternal food intake to reduced fetal growth.
METHOD: We assessed the effects of maternal diet on placental water content, ATP levels and mitochondrial DNA (mtDNA) content in mice at embryonic (E) day 18 (E18). Females maintained on either low- (LPD) or normal- (NPD) protein diets were mated with NPD males.
RESULTS: Fetal dry weight and placental efficiency (embryo/placental fresh weight) were positively correlated (r = 0.53, P = 0.0001). Individual placental dry weight was reduced by LPD (P = 0.003), as was the expression of amino acid transporter Slc38a2 and of growth factor Igf2. Placental water content, which is regulated by active transport of solutes, was increased by LPD (P = 0.0001). However, placental ATP content was also increased (P = 0.03). To investigate the possibility of an underlying mitochondrial stress response, we studied cultured human trophoblast cells (BeWos). High throughput imaging showed that amino acid starvation induces changes in mitochondrial morphology that suggest stress-induced mitochondrial hyperfusion. This is a defensive response, believed to increase mitochondrial efficiency, that could underlie the increase in ATP observed in placenta.
CONCLUSIONS: These findings reinforce the pathophysiological links between maternal diet and conceptus mitochondria, potentially contributing to metabolic programming. The quiet embryo hypothesis proposes that pre-implantation embryo survival is best served by a relatively low level of metabolism. This may extend to post-implantation trophoblast responses to nutrition.

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Year:  2015        PMID: 26132581      PMCID: PMC4488591          DOI: 10.1371/journal.pone.0130631

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


Introduction

The Dutch famine is perhaps the best known example [1] of a study showing that poor intrauterine nutrition may lead to adverse phenotypes in postnatal life, now well supported in both humans [2] and animals [3,4]. These adverse outcomes, including features of the metabolic syndrome, such as type 2 diabetes, are often linked to poor or disproportionate fetal growth: fetal growth restriction [5]. The molecular mechanisms mediating these effects are not clear [6], but evidence points to a critical role for mitochondria in both insulin secretion and in placental function. Pancreatic β-cells require mitochondrial ATP production for glucose-stimulated insulin secretion [7], and are sensitive to defects in mitochondrial function. Thus, many mutations in mitochondrial tRNA genes are associated with diabetes [8], and Kearns-Sayre syndrome, which is due to mtDNA rearrangements, is associated with the development of small pancreatic islets [9] and with diabetes [10]. During pregnancy, active cellular transport across the placenta requires ATP, much of which is likely to be derived aerobically. While ATP is directly involved in some of these transport processes, most are driven by secondary active transport and glucose itself is not actively transported across the placenta. Hence reduced fetal growth might be linked through a final common pathway to impaired mitochondrial function [11] and placental ATP production, placental insufficiency [12], and hypoxia [12]. Thus, placental ATP production might be directly related to nutrient supply to the placenta, and if this was rate limiting for processes such as active transport thereby regulate fetal growth. Down-regulating mitochondrial function in response to poor nutrition could thus be an epigenetic mechanism (in its broadest sense) for long-term adaptation of gene function to prevailing environment. Mitochondria could thus play a central role in metabolic programming. For example, we identified a mtDNA sequence variant that predisposes to both thinness in babies [13] and young adults [14], but to type 2 diabetes in multiple older populations [15] [16] [17]. Circumstantial evidence suggests that this variant may play a role in the “predictive adaptive response” [18] whereby mismatch between pre- and post-natal environment is an important determinant of health. This is because the mtDNA variant appears to exacerbate the effect of poor intra-uterine nutrition (manifest as catch-up growth) on both neonatal ponderal index and adult glucose tolerance, potentially by subtly impairing mitochondrial function. These findings led us to investigate the effect of low protein diet on placental mitochondrial function in mouse.

Material and Methods

Experimental design

In this study we assessed the effects of maternal diet on litter size (n = 9–12 for each condition) and, on fetal and placental wet and dry weights (n = 31–38 for each condition) in mice at embryonic (E) day 18 (E18). In addition, to investigate whether placental mitochondria are involved in poor fetal and placental growth, we measured mtDNA (n = 25–28 for each condition), ATP (n = 34–47 for each condition) and gene expression levels (n = 5 for each condition) in E18 mouse placentas.

Animals and sampling

All animals were housed and managed in accordance with the United Kingdom’s Home Office protocols and with the approval of the University of Oxford Ethical Review Committee. The animals were eight week-old female C57BL/6 mice which were randomly allocated to one of two different regimens: an LPD (8% total protein, Hope Farms 4400.01, Woerden, Netherlands) or a normal-protein diet (NPD; 14% total protein, Hope Farms 4400.00). These were given ad libitum access to the diets and water from two weeks prior to mating to the end of pregnancy. For matings, females from both groups were paired overnight with control C57BL/6 males (subjected to NPD), plugged, and the day after mating was designated E1. At E18, pregnant females were euthanized to recover pups and their placentas. After careful separation of both, pups and placentas (after removing membranes) were individually weighted, placed in different cryotubes and snap-frozen in liquid nitrogen. Samples were stored at -80°C until analysis. Pups and placenta samples were dried at 80°C for 24 h (by which time weight was stable) to assess dry weight. Alternatively, stored placentas were used to assess mtDNA and ATP content. Placental efficiency was defined as the fetal wet weight/placental wet weight on day E18.

Measurement of adenosine triphosphate in placentas

The ATP Bioluminescence Assay Kit CLS II (Roche, Mannheim, Germany) was employed to measure ATP in mouse placentas, stored placenta samples being homogenized in 1.5 ml of boiling TE buffer (100 mM Tris, 4 mM EDTA, pH 7.75), as in the manufacturer’s recommendations. Then, 0.5 ml homogenate was incubated for 2 min at 100°C, immediately centrifuged at 1,000 X g for 1 min at 4°C. The supernatant was transferred to a new tube and kept on ice. The remaining tissue homogenate was used for protein and mtDNA quantification. For protein quantification, 100 μl of the tissue homogenate was diluted in 200 μl of water and sonicated for 30 s on ice before centrifugation at 15,000 X g for 15 min at 4°C. The supernatant had total protein quantified (triplicate) by the Lowry method (Bio-Rad Laboratories, Hemel Hempstead, UK). When ATP and mtDNA content were assessed in different pieces of a single placenta, the placenta was divided into five pieces which were homogenized individually in 400 μl of boiling TE buffer. The homogenate (125 μl) was used for ATP measurement as described above. For protein quantification within a single placental piece, 25 μl of homogenate were diluted in 100 μl of water to be processed as described above. To measure ATP in mouse placentas using the ATP Bioluminescence Assay Kit CLS II, a ten-fold serial-diluted standard curve of ATP (10 μM-1 nM) was freshly prepared (using ATP provided by the kit) and run in parallel with samples. All samples and standard curves were analysed in triplicate in a luminometer (Fluostar Optima, BMG Labtech, Offenburg, Germany). Samples were run in duplicate when ATP was measured within a single placental piece. Sample ATP content was estimated using the standard curve generated and corrected for the amount of protein from the same sample. At least 35 samples taken from a minimum of six different litters were considered for each experimental group. When ATP was assessed in five different pieces of a single placenta, at least five placentas were assessed from each experimental group.

Relative quantification of placental mtDNA

Mouse samples had DNA extracted from 400 μl (or 175 μl when considering a single placental piece) of homogenized tissue (see above) using the DNeasy Blood & Tissue Kit (Qiagen, Hilden, Germany). Quantification of mtDNA (mt-Nd5) levels relative to nuclear DNA (Mpg) was performed using a quantitative real-time PCR (qPCR) method as previously described [19]. To ensure consistency, both mtDNA and nuclear DNA assays were always run in the same PCR plate. A total of 0.5 ng and 25 ng of sample DNA were used per reaction for the mtDNA and the nuclear DNA assays, respectively. For each run, a standard curve was generated using seven two-fold serial-dilutions of a pool of sample DNA. Based on the standard curve values, it was possible to estimate the starting amount of mtDNA relative to nuclear DNA. Each experimental group contained at least 25 samples taken from a minimum of six different litters. When mtDNA was assessed in five different pieces of a single placenta, at least five placentas were analysed from each experimental group.

Relative quantification of imprinted gene expression

We investigated the expression levels of imprinted genes, involved in growth and development in the placenta and implicated in parent-of-origin effects by the “Conflict hypothesis” (suggesting that paternally inherited alleles function to produce large, well developed placenta and hence offspring, whereas maternally expressed genes conserve maternal resources for the future [20]. We hypothesized that maternally expressed genes would be more likely to respond to adverse nutrition that paternally expressed genes. The genes studied were i) Ata3, a maternally imprinted gene encoding a component of the amino acid transporter system expressed heavily in placenta; ii) Ata2, a non-imprinted subunit of the same transporter; iii) Igf2r, a paternally imprinted gene regulating the growth promoting effects of the maternally imprinted Igf2, which was also investigated; iv) Peg3, maternally imprinted, is involved in p53-mediated apoptosis downstream of p53 action; v) Slc6a6, an sodium- and chloride-dependent taurine transporter; and vi) Zac1, a zinc finger protein involved in apoptosis and cell cycle regulation. RNA was extracted from placentae in RNABee (AMS Biotechnology) and reverse transcribed (Superscript III, Invitrogen). cDNA was diluted and q-PCR run on a GeneAmp 5700 machine (Applied Biosystems) using primers and probes for Igf2, Igf2R, Peg3, Slc38a1, Slc38a2, Slc38a4, Slc6a6, and Zac1, and the housekeeping genes beta-actin and GAPDH [21] (Applied Biosystems). Q-RT-PCR was performed on all 10 genes and standard curves were produced as described above for each. Changes in expression was measured by determining the ratio of selected gene expression:housekeeping gene expression. Placental RNA was extracted from tissue using phenol based methods and cDNA synthesised and Real Time PCR performed to quantify expression of Actb, Gapdh, Igf2, Igf2r, Peg3, Slc38a, 1Slc38a2 and Slc38a4, Slc6a6 and Zac1 using Applied Biosystems’ inventoried assays. Gene expression was assessed relative to Actb and Gapdh and log transformed for statistical analysis.

Cell biology methods

BeWos cells were cultured in a 96-well plate and treated for 6 hours in the indicated conditions before fixation with 4% paraformaldehyde (PFA). After DAPI and immuno-staining using a monoclonal antibody anti-Tom20 (Santa Cruz Biotechnology, mouse) and a polyclonal antibody anti-LC3 (Medical and Biological Laboratories, rabbit) combined with Alexa Fluor 488 Goat anti-rabbit and Alexa Fluor 568 Goat anti-mouse (life technologies) secondary antibodies the plate is imaged using the IN Cell 1000 analyser (GE healthcare life sciences, 500 cells per well). Raw images were binarised and mitochondrial morphological characteristics were quantified, notably the degree of branching or mitochondrial form factor (FF) and the mean mitochondria length (in μm). FF is defined as (Pm2)/(4πAm), where Pm is the length of mitochondrial outline and Am is the area of mitochondrion (Mortiboys et al., 2008), and with a value comprised between 1 (fragmented network in individual dots) and 0 (infinitely connected network). Mitochondria with a FF <0.8 are elongated and we calculated the proportion of these from the mitochondria identified.

Statistical analysis

All experiments were repeated three times in their entirety except that in Run 1, placental dry weights were measured and hence not available for other measurements. Statistical analysis was performed using the IBM SPSS statistics package (version 22). For our initial analysis we used litter mean as the target variable. Experimental groups were compared by Student’s t-test. We followed up each litter-summarized analysis with a mixed-effects model analysis of individual data points with litter identity as a random effect. For gene expression studies, we used log transformed response variables with litter identity as a random effect. Differences with p values less than 0.05 were considered significant. Values are reported as estimated difference between diets (on log scale) +/- standard error.

Results

The data presented is from three runs of the same experiment run on different occasions. Fig 1 refers to Run 1, where placental dry weights were measured and hence not available for other measurements. The final figure refers to Run 3 where placenta was used for cDNA analysis. All other figures refer to Run 2.
Fig 1

Low-protein diet (LPD) impairs fetal and placental growth compared with normal-protein diet (NPD).

Fetal (A) and placental (C) fresh weights were recorded at day 18 of pregnancy from mothers subjected to NPD or LPD. These were re-weighed after drying (B and D respectively). These data are plotted as individual fetal (A, B) and placental (C, D) weights. Summed fetal and placental weights were not consistently different. Values are reported as means ± SEM. Part (E) shows the ratio of water to dry weight of individual fetuses or placentae then averaged by litter. The median litter value is plotted. This was substantially increased in Placenta (p<0.001). It was also increased in fetuses from run 2, (p<0.001) but not run 1. Error bars are SE *Difference between groups (P < 0.05). Parts A to D show Run 1, part E shows Runs 1 and 2.

Low-protein diet (LPD) impairs fetal and placental growth compared with normal-protein diet (NPD).

Fetal (A) and placental (C) fresh weights were recorded at day 18 of pregnancy from mothers subjected to NPD or LPD. These were re-weighed after drying (B and D respectively). These data are plotted as individual fetal (A, B) and placental (C, D) weights. Summed fetal and placental weights were not consistently different. Values are reported as means ± SEM. Part (E) shows the ratio of water to dry weight of individual fetuses or placentae then averaged by litter. The median litter value is plotted. This was substantially increased in Placenta (p<0.001). It was also increased in fetuses from run 2, (p<0.001) but not run 1. Error bars are SE *Difference between groups (P < 0.05). Parts A to D show Run 1, part E shows Runs 1 and 2.

LPD increases placental water content

Since cellular water content reflects the efficiency of ATP-dependent active transport [22,23], we assessed the effects of LPD on placental water content. Reduced oncotic pressure resulting from protein deficiency might also be associated with excess fluid. Individual fetal fresh weight (NPD = 1127 ± 21 mg vs. LPD = 1078 ± 18 mg; P = 0.03), but not individual placental fresh weight (NPD = 81 ± 1.48 mg vs. LPD = 77 ± 1.97 mg; P = 0.16), was decreased by LPD (Fig 1). Yet, when individual placental dry weights were analysed, they were significantly reduced (NPD = 14 ± 0.27 mg vs. LPD = 13 ± 0.30; P = 0.003) but individual dry fetal weights were not. Litter size, summed litter fresh fetal and summed litter fresh placental weight were not consistently affected by LPD. Metabolic energy expenditure plays a critical role in regulating cell volume, we used placental water content as an indicator of successful ion pumping, which of course underpins many aspects of trophoblast cell function. Placental water content correlated negatively with fetal dry weight (r = -0.26, P = 0.03; Fig 2A). It was significantly increased by LPD compared with NPD (83.6 ± 0.077% vs. 82.9 ± 0.087%; P = 0.0001). When expressed as the ratio of water content to dry weight (Fig 1E) this was substantially increased in placenta (p<0.001). It was also increased in fetuses from run 2 (p<0.001) but not run 1. Placental water content also correlated positively with fetal water content for the NPD (r = 0.46, P = 0.006), with a similar trend for the LPD litters (r = 0.34, P = 0.07; Fig 2B). We also found a positive correlation (r = 0.53, P = 0.0001) between fetal dry weight and placental efficiency (defined as fetal/placental fresh weight, not shown). The disadvantage to growth conferred by LPD persisted postnatally (S1 Fig). Having shown that LPD placentae had a higher water content, reflecting reduced efficiency of ATP-dependent active transport [22,23], we wished to test whether LPD placentas had a lower ATP and mtDNA content or altered expression of placental transporters compared to NPD.
Fig 2

A) Fetal dry weight is inversely proportional to placental water and B) low fetal dry weight is associated with low placental efficiency (fetal/placental fresh weight) in mice. Weights were measured in day-18 (pregnancy) mouse placentas from mothers subjected to normal- (NPD) or low- (LPD) protein diets. Each dot is representative of a single placenta. The line represents the correlation between the two variables for (A) (r = -0.26, P = 0.03), (B) (NPD: r = 0.46, P = 0.006; LPD: r = 0.34, P = 0.07).

A) Fetal dry weight is inversely proportional to placental water and B) low fetal dry weight is associated with low placental efficiency (fetal/placental fresh weight) in mice. Weights were measured in day-18 (pregnancy) mouse placentas from mothers subjected to normal- (NPD) or low- (LPD) protein diets. Each dot is representative of a single placenta. The line represents the correlation between the two variables for (A) (r = -0.26, P = 0.03), (B) (NPD: r = 0.46, P = 0.006; LPD: r = 0.34, P = 0.07).

Placental ATP content was increased by LPD

To investigate whether ATP and mtDNA content are linked as we predicted, we measured ATP and mtDNA (relative to nuclear DNA) levels in mouse placentas. Placental ATP content was not reduced in fetuses with a high water content (Fig 3A), but was inversely proportional (r = -0.56, P = 0.0001) to placental efficiency (Fig 3B). Furthermore, the placental ATP level was increased (P = 0.03) by the LPD (6.8 ± 0.453 mmol) compared with the NPD (5.7 ± 0.198 mmol; Fig 3C). Yet, placental mtDNA content (measured as the ratio of mtDNA to nuclear DNA) was not significantly increased (P = 0.82) in LPD (1.07 ± 0.089) compared to NPD (1.0 ± 0.087) placenta. Neither did total placental ATP and total mtDNA content correlate (not shown). Because we had previously found that mtDNA content varied by 3–4 fold within regions of a single placenta [24], we re-visited these data by dividing each placenta into five portions (each weighing 10–20 mg). In this case (Fig 4), a significant positive relationship between placental mtDNA/nuclear DNA and ATP became apparent (r = 0.34, P = 0.01) whereas mtDNA varied by 1.5–4 fold within several pieces of a single placenta. Furthermore, in both runs litter placental mtDNA content was inversely correlated to summed litter fresh weight (r = -0.59, P = 0.04; Fig 5A), summed litter placental fresh weight (r = -0.68, P = 0.02; Fig 5B) and litter size (r = -0.68, P = 0.01; Fig 5C).
Fig 3

Placental ATP increases with fetal water content in mice and is inversely correlated to placenta efficiency (fetal/placental fresh weight).

The content of ATP was measured in day18 (pregnancy) mouse placentas from mothers subjected to normal (NPD) or low (LPD) protein diets. Each dot is representative of a single placenta. In (A), the line represents the correlation between the two variables for NPD (r = 0.81, P = 0.0001) and LPD (r = 0.60, P = 0.025). In (B), the two variables were inversely correlated (r = -0.56, P = 0.0001). In (C), values are reported as means ± SEM and difference (P = 0.03) between groups is indicated by (*). The number of samples considered in (C) was 45 for the NPD and 34 for the LPD.

Fig 4

Placental mitochondrial DNA (mtDNA) was directly correlated with ATP levels when placenta is divided into small biopsies.

The content of mtDNA per nuclear DNA and ATP concentration was measured in day-18 (pregnancy) mouse placentas from mothers subjected to normal- (NPD) or low- (LPD) protein diets. Each dot is representative of a single placental biopsy. The line represents the correlation between the two variables (r2 = 0.34, P = 0.01). There was no significant correlation when the biopsy values for each placenta were averaged. a.u. indicates arbitrary units.

Fig 5

Placental mouse mitochondrial DNA (mtDNA) is highest in the least productive litters and in the smallest litters.

The mean content of mtDNA per nuclear DNA was measured in day-18 (pregnancy) mouse placentas from mothers subjected to normal- (NPD) or low- (LPD) protein diets. Each dot is representative of a single litter. The line represents the correlation between the two variables for (A) (r = -0.58, P = 0.04), (B) (r = -0.68, P = 0.02) and (C) (r = -0.68, P = 0.01). a.u. indicates arbitrary units. Data is taken from Run 2, but Run 1 is comparable.

Placental ATP increases with fetal water content in mice and is inversely correlated to placenta efficiency (fetal/placental fresh weight).

The content of ATP was measured in day18 (pregnancy) mouse placentas from mothers subjected to normal (NPD) or low (LPD) protein diets. Each dot is representative of a single placenta. In (A), the line represents the correlation between the two variables for NPD (r = 0.81, P = 0.0001) and LPD (r = 0.60, P = 0.025). In (B), the two variables were inversely correlated (r = -0.56, P = 0.0001). In (C), values are reported as means ± SEM and difference (P = 0.03) between groups is indicated by (*). The number of samples considered in (C) was 45 for the NPD and 34 for the LPD.

Placental mitochondrial DNA (mtDNA) was directly correlated with ATP levels when placenta is divided into small biopsies.

The content of mtDNA per nuclear DNA and ATP concentration was measured in day-18 (pregnancy) mouse placentas from mothers subjected to normal- (NPD) or low- (LPD) protein diets. Each dot is representative of a single placental biopsy. The line represents the correlation between the two variables (r2 = 0.34, P = 0.01). There was no significant correlation when the biopsy values for each placenta were averaged. a.u. indicates arbitrary units.

Placental mouse mitochondrial DNA (mtDNA) is highest in the least productive litters and in the smallest litters.

The mean content of mtDNA per nuclear DNA was measured in day-18 (pregnancy) mouse placentas from mothers subjected to normal- (NPD) or low- (LPD) protein diets. Each dot is representative of a single litter. The line represents the correlation between the two variables for (A) (r = -0.58, P = 0.04), (B) (r = -0.68, P = 0.02) and (C) (r = -0.68, P = 0.01). a.u. indicates arbitrary units. Data is taken from Run 2, but Run 1 is comparable.

Expression of placental transporters was modulated by LPD

To determine whether the increased water content in LPD fetuses reflected altered nutrient transport, we investigated the expression of a number or transporter using qPCR of cDNA. When individual litters were included as a random variable, Slc38a2 and Igf2 expression (relative to house-keeping gene Gapdh and log transformed) was significantly reduced in LPD placenta (p = 0.009 and p = 0.006 respectively, Fig 6). However, if considered as independent of litter, expression of placental transporters Slc38a2 and Slc38a4 and of factors Igf2, and Peg3 was significantly reduced in LPD placenta (p<0.001, p = 0.001, 0.001 and 0.02, using individual mice as the unit of analysis. The latter reduction was not affected by the mtDNA copy number. The expression of Slc38a1, Slc6a6, Igf2R and Zac1 was not significantly different from control.
Fig 6

Expression of placental transporters Slc38a1, Slc38a2, Slc38a4 and Slc6a6 and of Igf2, Igf2R, Peg3 and Zac1 in placenta at day 18 was assessed by reverse transcription of mRNA followed by Q-PCR, log transformed and corrected for expression of GAPDH and Act and expressed relative to controls.

Plot shows means of corrected log transforms, error bars are standard errors using individual mice as the unit of analysis. The expression of Slc38a2 and Igf2 (p<0.009 and p<0.006 respectively) were significantly reduced by LPD. Key ** p<0.01.

Expression of placental transporters Slc38a1, Slc38a2, Slc38a4 and Slc6a6 and of Igf2, Igf2R, Peg3 and Zac1 in placenta at day 18 was assessed by reverse transcription of mRNA followed by Q-PCR, log transformed and corrected for expression of GAPDH and Act and expressed relative to controls.

Plot shows means of corrected log transforms, error bars are standard errors using individual mice as the unit of analysis. The expression of Slc38a2 and Igf2 (p<0.009 and p<0.006 respectively) were significantly reduced by LPD. Key ** p<0.01.

The response of placental mitochondria to stress

Because mitochondria are able to increase cellular ATP by the stress response, known as Stress Induced Mitochondrial Hyperfusion (SIMH) in response to nutrients [25], we studied the effect of various types of cellular starvation on an immortalised human trophoblast line (BeWo). We used high throughput imaging (IN Cell 1000) to determine the mitochondrial morphology. Mitochondria were significantly more elongated in BeWo cells starved of amino acids for three days compared to baseline (Fig 3B shows two representative runs). Similarly, this significantly decreased the proportion of rounded and of short mitochondria (p = 0.002 and p<0.001, T tests). As expected [25], mitochondrial fragmentation was apparent in several other types of nutrient deprivation (not shown).

Discussion

We have shown that LPD (previously linked to insulin resistance in later life) increased placental water content. This effect was associated with reduced placental efficiency and expression of placental transporters, but with increased placental ATP content. We also showed that mitochondria, in human trophoblast cells that had been starved of amino acids, showed evidence of a stress response for raising cellular ATP. These data show that combining simple measurements of placental or fetal dry and wet weights correlates with maternal diet and may reflect fetal nutrition that reflects post-natal growth and correlates with mtDNA content. They show that the detrimental effect of maternal LPD on placental efficiency is not due to a deficiency of either placental mtDNA or ATP. For the first time, using LPD and NPD we have shown that placental mtDNA is highest in the least successful litters, perhaps because mtDNA copy number increases in oxidative stress [26]. Fetal and placental water contents appear to be a useful measure of placental efficiency, being inversely proportional to dry weights. The placenta contains significantly less water content than does the fetus. Importantly, placental water content was highest for the fetuses with the lowest dry weights, suggesting that high water content is a sign of an unsuccessful potentially oedematous placenta. It would be interesting to confirm this by measuring sodium pump activity. Consistent with previous studies [27], expression of placental transporters Slc38a2 and Slc38a4 was reduced, potentially secondarily to reduced Igf2 expression [28]. In contrast to our prediction that LPD might impair ATP synthesis, placental ATP content is increased by LPD. These data could be strengthened by measuring ADP and AMP concurrently. While ATP is very labile and in vivo values may well be higher, our data suggest that placental ATP production is not the final common pathway linking placental insufficiency, hypoxia and impaired placental mitochondrial function to reduced fetal growth. Other mechanisms such as epigenetic and environmental regulation of the placental phenotype by means of imprinted genes are clearly important [29]. It is well known that pre-implantation embryo survival is best served by a relatively low level of metabolism, the so-called “Quiet Embryo” hypothesis [30]. Both oocytes and early mouse embryos clearly require a basal level of ATP for normal development [31], very low oocyte ATP content and reduced mitochondrial membrane potential being associated with poor outcome [32]. There appears to be a threshold oocyte mtDNA content that is essential for early development [33] [34] and hence presumably ATP [35]. Our finding that ATP levels are increased in the least successful placenta reflects those of a previous study of early embryos, in which LPD elevated levels of ATP without affecting reactive oxygen species (ROS) production at the two-cell stage [36]. Further, we showed that ATP levels were proportional to fetal water content and inversely proportional to placental efficiency. This outcome is consistent with the highest mtDNA content in the smallest litters that had the lowest overall placental and fetal weights. The poor positive correlation between ATP and mtDNA became significant when compared in small portions of placenta, consistent with wide variation in different regions of the same placenta [24]. It seems likely that mtDNA and ATP content are causally linked. We suggest three possible explanations for our finding that ATP levels are increased in the least successful placentas. Firstly, low ATP might indicate efficient usage, high ATP perhaps reflecting a mismatch between ATP production and utilisation due to poor delivery. Secondly, active transport may be reduced in LPD placentas, limited not by ATP availability but perhaps by the reduced expression of placental transporters such as Slc38a2, Slc38a4, potentially regulated by Igf2 and Peg3. Thirdly, a newly characterised response of cultured cells to stress, known as Stress Induced Mitochondrial Hyperfusion (SIMH) [37], that elongates and increases mitochondrial connectivity is able to raise cellular ATP [38]. In tissue culture, amino acid starvation has been shown to cause mitochondrial elongation [25], increased mitochondrial oxygen consumption and increased mitochondrial membrane potential [39] consistent with SIMH. Hence, SIMH could underlie the link between LPD and raised ATP. Normal mitochondrial dynamics could be central to placental development as inner mitochondrial membrane remodelling may play a role in steroidogenesis [40]. We showed that when cultured human trophoblast cells are deprived of amino acids, their mitochondria elongate (Fig 7). Our results suggest that trophoblasts share the SIMH response to amino acid starvation with other cell types, and this may underlie the increase in placental ATP that we observed. Using SIMH to increase cellular ATP may be a particularly appropriate stress response for placenta. The placental syncytium is unlike other cell types, in that it does not need to use mitochondrial fragmentation to drive cell proliferation [41].
Fig 7

The proportion of elongated mitochondria was significantly greater in cells from the human trophoblast line BeWo, starved of amino acids for up to 24 hours than in control (plot of 2 representative runs out of five, showing the effect of 6 hours amino acid starvation in 5.5mM and 25mM glucose concentrations, both p<0.001 using T tests).

Error bars are standard errors.

The proportion of elongated mitochondria was significantly greater in cells from the human trophoblast line BeWo, starved of amino acids for up to 24 hours than in control (plot of 2 representative runs out of five, showing the effect of 6 hours amino acid starvation in 5.5mM and 25mM glucose concentrations, both p<0.001 using T tests).

Error bars are standard errors. SIMH changes mitochondrial organisation and increases cellular ATP by at least two potential mechanisms. Firstly, the highly networked mitochondria seen in SIMH should improve mitochondrial complementation between isolated regions where critical components may be limiting, and hence increase the efficiency of oxidative phosphorylation. In the same way, cells that contain both mutant and normal mtDNA are able to tolerate a high mutant load if mitochondria are networked [42]. Secondly, mitochondrial fission is an important first step in mitophagy, one of several cellular processes that turns over defective mitochondrial components. Hence, mitophagy is inhibited by SIMH [38] and this increases both mitochondrial mass and potentially ATP production. This may be enhanced by increased mitochondrial biogenesis associated with an increased capacity for mitochondrial translation following amino acid starvation [39]. While a mitochondrial stress response may thus confer an epigenetic benefit acutely, it is likely to disadvantage mitochondria by impairing their quality in the longer term. This sequence of events may contribute to the links [43] between increased mtDNA content and ROS of placenta from growth retarded babies [44]. Furthermore, both reduced expression of the pro-mitochondrial protein mitofusin 2 and low ATP levels have been implicated in unexplained early miscarriage [45], where rescue by SIMH may have failed. Hence, we have preliminary evidence suggesting that increased mitochondrial fusion occurs in trophoblast cells deprived of amino acids. We propose that this reflects SIMH, a protective mechanism that may be occurring in the LPD placenta [45] and in stressed pre-implantation embryos [30].

Conclusions

LPD was associated with increased and not decreased ATP in placenta, consistent with the quiet embryo hypothesis. We suggest that the mitochondrial stress response, SIMH, may increase the ATP. These findings reinforce the pathophysiological links between maternal diet and conceptus mitochondria, operating along different overlapping pathways [46] [47] [48] [49]. Such mechanisms may contribute to the epigenetic regulation of placental phenotype that is important in metabolic programming [29] [50]. Studies using a feeding model that is more relevant to humans would further determine whether the quiet embryo hypothesis extends to placental responses to nutrition [51].

Low-protein diet (LPD) impairs weight gain after birth compared with a normal-protein diet.

Mouse females subjected to NPD and LPD had their offspring individually weighted (freshly) from ten to 168 days post-natal. Values are reported as means ± SEM. A significant effect of diet (P = 0.0034) and age (P = 0.0001) was observed, but not of the interaction between group and age (P = 0.96). At least six animals per group were considered for each time point. (TIF) Click here for additional data file.
  50 in total

1.  Low expression of Mfn2 is associated with mitochondrial damage and apoptosis in the placental villi of early unexplained miscarriage.

Authors:  W Pang; Y Zhang; N Zhao; S S Darwiche; X Fu; W Xiang
Journal:  Placenta       Date:  2013-04-17       Impact factor: 3.481

2.  Differences in reactive oxygen species production explain the phenotypes associated with common mouse mitochondrial DNA variants.

Authors:  Raquel Moreno-Loshuertos; Rebeca Acín-Pérez; Patricio Fernández-Silva; Nieves Movilla; Acisclo Pérez-Martos; Santiago Rodriguez de Cordoba; M Esther Gallardo; José Antonio Enríquez
Journal:  Nat Genet       Date:  2006-10-01       Impact factor: 38.330

Review 3.  Early developmental conditioning of later health and disease: physiology or pathophysiology?

Authors:  M A Hanson; P D Gluckman
Journal:  Physiol Rev       Date:  2014-10       Impact factor: 37.312

Review 4.  Placental phenotypes of intrauterine growth.

Authors:  Colin P Sibley; Mark A Turner; Irene Cetin; Paul Ayuk; C A Richard Boyd; Stephen W D'Souza; Jocelyn D Glazier; Susan L Greenwood; Thomas Jansson; Theresa Powell
Journal:  Pediatr Res       Date:  2005-09-23       Impact factor: 3.756

5.  Fetal and neonatal exposure to AZT and low-protein diet affects glucose homeostasis: a model with implications for AIDS prevention.

Authors:  K Morten; P Field; N Ashley; K A Williams; D Harris; M Hartley; A Clark; J Poulton
Journal:  Am J Physiol Endocrinol Metab       Date:  2005-07-12       Impact factor: 4.310

Review 6.  A mitochondrial paradigm of metabolic and degenerative diseases, aging, and cancer: a dawn for evolutionary medicine.

Authors:  Douglas C Wallace
Journal:  Annu Rev Genet       Date:  2005       Impact factor: 16.830

7.  Dietary restriction in pregnant rats causes gender-related hypertension and vascular dysfunction in offspring.

Authors:  T Ozaki; H Nishina; M A Hanson; L Poston
Journal:  J Physiol       Date:  2001-01-01       Impact factor: 5.182

8.  Type 2 diabetes is associated with a common mitochondrial variant: evidence from a population-based case-control study.

Authors:  Joanna Poulton; Jian'an Luan; Vincent Macaulay; Susie Hennings; Jo Mitchell; Nicholas J Wareham
Journal:  Hum Mol Genet       Date:  2002-06-15       Impact factor: 6.150

9.  Adaptation of nutrient supply to fetal demand in the mouse involves interaction between the Igf2 gene and placental transporter systems.

Authors:  Miguel Constância; Emily Angiolini; Ionel Sandovici; Paul Smith; Rachel Smith; Gavin Kelsey; Wendy Dean; Anne Ferguson-Smith; Colin P Sibley; Wolf Reik; Abigail Fowden
Journal:  Proc Natl Acad Sci U S A       Date:  2005-12-19       Impact factor: 11.205

10.  Amino acid starvation has opposite effects on mitochondrial and cytosolic protein synthesis.

Authors:  Mark A Johnson; Sara Vidoni; Romina Durigon; Sarah F Pearce; Joanna Rorbach; Jiuya He; Gloria Brea-Calvo; Michal Minczuk; Aurelio Reyes; Ian J Holt; Antonella Spinazzola
Journal:  PLoS One       Date:  2014-04-09       Impact factor: 3.240

View more
  10 in total

1.  Prenatal exposure to tobacco smoke leads to increased mitochondrial DNA content in umbilical cord serum associated to reduced gestational age.

Authors:  Francesca Pirini; Lynn R Goldman; Ethan Soudry; Rolf U Halden; Frank Witter; David Sidransky; Rafael Guerrero-Preston
Journal:  Int J Environ Health Res       Date:  2017-02       Impact factor: 3.411

2.  Role of microRNA-130b in placental PGC-1α/TFAM mitochondrial biogenesis pathway.

Authors:  Shaoning Jiang; April M Teague; Jeanie B Tryggestad; Steven D Chernausek
Journal:  Biochem Biophys Res Commun       Date:  2017-04-19       Impact factor: 3.575

3.  Acute nutritional stress during pregnancy affects placental efficiency, fetal growth and adult glucose homeostasis.

Authors:  Sajida Malik; Alan Diot; Karl Morten; Eszter Dombi; Manu Vatish; C A Richard Boyd; Joanna Poulton
Journal:  Oncotarget       Date:  2017-11-25

4.  Mechanistic Target of Rapamycin Complex 1 Promotes the Expression of Genes Encoding Electron Transport Chain Proteins and Stimulates Oxidative Phosphorylation in Primary Human Trophoblast Cells by Regulating Mitochondrial Biogenesis.

Authors:  Fredrick J Rosario; Madhulika B Gupta; Leslie Myatt; Theresa L Powell; Jeremy P Glenn; Laura Cox; Thomas Jansson
Journal:  Sci Rep       Date:  2019-01-22       Impact factor: 4.379

5.  Sex-Specific Effects of Nanoparticle-Encapsulated MitoQ (nMitoQ) Delivery to the Placenta in a Rat Model of Fetal Hypoxia.

Authors:  Esha Ganguly; Mais M Aljunaidy; Raven Kirschenman; Floor Spaans; Jude S Morton; Thomas E J Phillips; C Patrick Case; Christy-Lynn M Cooke; Sandra T Davidge
Journal:  Front Physiol       Date:  2019-05-24       Impact factor: 4.566

Review 6.  Nutrients, Mitochondrial Function, and Perinatal Health.

Authors:  Ameyalli M Rodríguez-Cano; Claudia C Calzada-Mendoza; Guadalupe Estrada-Gutierrez; Jonatan A Mendoza-Ortega; Otilia Perichart-Perera
Journal:  Nutrients       Date:  2020-07-21       Impact factor: 5.717

7.  Placental mitochondrial DNA mutational load and perinatal outcomes: Findings from a multi-ethnic pregnancy cohort.

Authors:  Whitney Cowell; Kelly Brunst; Elena Colicino; Li Zhang; Xiang Zhang; Tessa R Bloomquist; Andrea A Baccarelli; Rosalind J Wright
Journal:  Mitochondrion       Date:  2021-06-06       Impact factor: 4.534

8.  Increased Cord Blood Betatrophin Levels in the Offspring of Mothers with Gestational Diabetes.

Authors:  Xuemei Xie; Hongjie Gao; Shimin Wu; Yue Zhao; Caiqi Du; Guandou Yuan; Qin Ning; Kenneth McCormick; Xiaoping Luo
Journal:  PLoS One       Date:  2016-05-19       Impact factor: 3.240

9.  Correction: Is Placental Mitochondrial Function a Regulator that Matches Fetal and Placental Growth to Maternal Nutrient Intake in the Mouse?

Authors:  Marcos R Chiaratti; Sajida Malik; Alan Diot; Elizabeth Rapa; Lorna Macleod; Karl Morten; Manu Vatish; Richard Boyd; Joanna Poulton
Journal:  PLoS One       Date:  2017-02-03       Impact factor: 3.240

10.  Impact of Obesity and Hyperglycemia on Placental Mitochondria.

Authors:  Chiara Mandò; Gaia Maria Anelli; Chiara Novielli; Paola Panina-Bordignon; Maddalena Massari; Martina Ilaria Mazzocco; Irene Cetin
Journal:  Oxid Med Cell Longev       Date:  2018-08-14       Impact factor: 6.543

  10 in total

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