A low protein diet during pregnancy provokes a lasting shift of hepatic expression of genes related to cell cycle throughout ontogenesis in a porcine model
© Oster et al; licensee BioMed Central Ltd. 2012
Received: 16 August 2011
Accepted: 16 March 2012
Published: 16 March 2012
In rodent models and in humans the impact of gestational diets on the offspring's phenotype was shown experimentally and epidemiologically. Adverse environmental conditions during fetal development provoke an intrauterine adaptive response termed 'fetal programming', which may lead to both persistently biased responsiveness to extrinsic factors and permanent consequences for the organismal phenotype. This leads to the hypothesis that the offspring's transcriptome exhibits short-term and long-term changes, depending on the maternal diet. In order to contribute to a comprehensive inventory of genes and functional networks that are targets of nutritional programming initiated during fetal life, we applied whole-genome microarrays for expression profiling in a longitudinal experimental design covering prenatal, perinatal, juvenile, and adult ontogenetic stages in a porcine model. Pregnant sows were fed either a gestational low protein diet (LP, 6% CP) or an adequate protein diet (AP, 12% CP). All offspring was nursed by foster sows receiving standard diets. After weaning, all offspring was fed standard diets ad libitum.
Analyses of the hepatic gene expression of the offspring at prenatal (94 dies post conceptionem, dpc) and postnatal stages (1, 28, 188 dies post natum, dpn) included comparisons between dietary groups within stages as well as comparisons between ontogenetic stages within diets to separate diet-specific transcriptional changes and maturation processes. We observed differential expression of genes related to lipid metabolism (e.g. Fatty acid metabolism, Biosynthesis of steroids, Synthesis and degradation of ketone bodies, FA elongation in mitochondria, Bile acid synthesis) and cell cycle regulation (e.g. Mitotic roles of PLK, G1/S checkpoint regulation, G2/M DNA damage checkpoint regulation). Notably, at stage 1 dpn no regulation of a distinct pathway was found in LP offspring.
The transcriptomic modulations point to persistent functional demand on the liver towards cell proliferation in the LP group but not in the AP group at identical nutritional conditions during postnatal life due to divergent 'programming' of the genome. Together with the observation that the offspring of both groups did not differ in body weight but in body composition and fat content, the data indicate that the activity of various genes led to diverse partitioning of nutrients among peripheral and visceral organs and tissues.
Pregnancy and fetal development are periods of rapid growth and cell differentiation when mother and offspring are vulnerable to changes in dietary supply. Adverse environmental conditions during fetal development provoke an intrauterine adaptive response termed 'fetal programming', which may lead to both persistently biased responsiveness to extrinsic factors and permanent consequences for the organismal phenotype [1–6]. Due to developmental plasticity, environmental factors induce altered expression of the genome and ultimately modify the offspring's phenotype . In various human and animal studies a gestational low protein intake during pregnancy was accompanied by low birth weight offspring, which was subsequently predisposed for metabolic disorders and alterations in body composition [6, 8–10]. Interestingly, epidemiological studies in women showed that maternal malnutrition during pregnancy can result in fetal growth retardation [11, 12].
In order to contribute to a comprehensive inventory of genes and functional networks that are targets of nutritional programming initiated during fetal life, we applied whole-genome microarrays for expression profiling in a longitudinal experimental design covering prenatal, perinatal, juvenile and adult ontogenetic stages in a porcine model. On an isoenergetic basis, pregnant sows were fed either a gestational low protein diet (LP, 6% CP) or an adequate protein diet (AP, 12% CP) to investigate the effects on hepatic gene expression in their fetuses and offspring. The experiment comprises a valuable model especially for 'fetal' programming, because cross-fostering enabled assessment of solely the nutritional effects during gestation. Moreover, due to the similarity in metabolism, physiology, anatomy and genome the study is also a beneficial model for nutritional programming in humans [13, 14]. Thus the experimental data will complement previous findings from rodent models and epidemiological human data. In particular, the low protein diet provides a model for prenatal dietary undersupply and exposure to famine that regrettably still burdens a considerable proportion of the human population.
In our experiment the porcine offspring, which was exposed to an undersupply of protein during fetal development but had appropriate postnatal dietary conditions, was able to broadly adapt in terms of their body weight. In fact, newborns from sows that received a low protein supply during gestation had a significantly lower birth weight, a lower body fat content, reduced size and number of adipocytes and muscle fibres than newborns of the control group. At weaning (28 dpn) offspring of the LP group showed slight but significant higher fat content and adipocyte size, and still lower muscle fibre numbers. But neither body weight at weaning nor body weight at 188 dpn differed significantly among offspring of the LP and the AP group, whereas visceral and subcutaneous fat content remained higher in LP than in AP during postnatal life [15–17]. Here the focus is on the hepatic transcriptomic response. We present that the hepatic expression profiles showed considerable modulation during prenatal and postnatal stages, i.e. in acute and delayed response to the nutritional stimulus. Nutritional fetal programming becomes apparent as an altered hepatic expression of genes related to cell cycle and cell maintenance, and lipid, ketone body, and amino acid metabolism, indicating different functional demands and replies of the liver in both experimental groups under identical nutritional conditions post natum.
No. of expressed probe-sets, filtered probe-sets, and regulated probe-sets of LP and AP offspring at distinct developmental stages and periods
No. of expressed probe-sets
No. of filtered probe-sets
No. of total regulated probe-sets
No. of regulated probe-sets private to LP offspring
No. of regulated probe-sets private to AP offspring
No. of commonly regulated probe-sets of LP and AP offspring (intersection)
1,001 (541 up, 460 down)
1 (0 up, 1 down)
483 (214 up, 269 down)
2,084 (952 up, 1,132 down)
developmental period 1
8,166 (3,731 up, 4,435 down)
1,042 (384 up, 658 down)
1,034 (503 up, 531 down)
6,090 (2,844 up, 3,246 down)
developmental period 2
8,329 (4,118 up, 4,211 down)
881 (423 up, 458 down)
991 (448 up, 543 down)
6,457 (3,247 up, 3,210 down)
developmental period 3
6,612 (2,810 up, 3,803 down)
1,959 (834 up, 1,125 down)
1,549 (697 up, 852 down)
3,104 (1,279 up, 1,825 down)
Comparisons between LP and AP within stages
Significantly regulated transcripts of metabolic pathways in liver tissue within different ontogenetic stages (Ingenuity Pathway Analysis).
Direction of regulation
No. of regulated genes
Genes involved in pathway
ACVR1, CSNK1G3, FZD4, FZD6, MAP3K7, MMP7, TCF4, TCF7L2, WNT5A
Mitotic roles of Polo-like kinase
CCNB1, CCNB2, CDC23, CDC25B, CDK1, FZR1, SP90AA1, KIF11, PLK1, PPP2R1B, PTTG1
G1/S checkpoint regulation
CCND2, CCND3, CCNE1, CDK4, E2F1, E2F4, RB1, TFDP1
G2/M DNA damage checkpoint regulation
CCNB1, CCNB2, CDC25B, CDK1, PLK1
C4B, C5, C6, C9, CD55
G1/S checkpoint regulation
CDKN1B, HDAC11, TGFB3
ACTA2, AKT3, BCL2, EIF2B1, KDR, MAPK1, MRAS, PIK3R3, PRKCB, RRAS2, VCL, VEGFC
AKT3, EIF3B, EIF4B, MAPK1, MRAS, PIK3R3, PPP2CB, PRKAB2, PRKCB, RHOJ, RRAS2, TSC1, VEGFC
Synthesis and degradation of ketone bodies
ACAA1, BDH1, HADHA, HADHB
Bile acid synthesis
ACAA1, ADH5, ADHFE1, ALDH7A1, HADHA, HADHB, LIPA
Fatty acid elongation in mitochondria
ACAA1, AUH, HADHA, HADHB
Glucocorticoid receptor signaling
AKT3, BCL2, CCL2, GTF2A2, GTF2B, GTF2E2, HSP90AB1, HSPA1B, IL1RN, MAPK1, MRAS, NCOR1, PBX1, PIK3R3, RRAS2, TAF4, VCAM1
Val, Leu, Ile degradation
ACAA1, ACAD10, ALDH7A1, AUH, BCKDHB, HADHA, HADHB, HIBADH
Biosynthesis of steroids
CYP24A1, CYP7B1, DHCR7, FDFT1, MVD
In juvenile piglets (stage 28 dpn) 483 probe-sets differed between LP and AP offspring. The expression of 214 probe-sets was increased in the LP offspring compared with AP offspring. Genes associated with the 'complement system' showed increased mRNA expression levels, whereas the canonical pathway 'G1/S checkpoint regulation' was found to be decreased in LP offspring.
At adult age (stage 188 dpn) 2,084 probe-sets were significantly different between LP and AP offspring. Of these, 952 probe-sets showed higher expression and 1,132 probe-sets showed lower expression in LP than in AP offspring. The mRNA expression levels of genes associated with metabolic processing of ketones, fatty acids, bile acids, and hydrophobic amino acids (Val, Ile, Leu) as well as 'mTOR signaling', 'VEGF signaling', and 'glucocorticoid receptor signaling', were increased in LP offspring at stage 188 dpn, whereas 'biosynthesis of steroids' was found to be diminished.
No genes were found consistently differentially expressed between the groups along all examined stages. However, at 94 dpc and 188 dpn 179 probe-sets were differentially regulated in both stages between LP and AP.
Differences of longitudinal ontogenetic regulation among LP and AP offspring
Considering two adjacent ontogenetic stages within one treatment group, significantly regulated transcripts were determined. The resulting gene lists were compared between LP and AP offspring at the corresponding ontogenetic periods. The intersection of commonly regulated genes between those comparisons was discarded because regulation of these genes was likely due to physiologically developmental processes. Consequently, only genes whose regulation between two consecutive ontogenetic stages (period I: 94dpc-1dpn; period II: 1dpn-28dpn; period III: 28dpn-188dpn) was private to either the LP or the AP group were analysed (Table 1). These genes display diet-dependent longitudinal transcriptomic regulation (Figure 1). Thus, genes and pathways identified as regulated in one offspring group were either unregulated or showed an opposite direction of regulation in the corresponding ontogenetic period within the other dietary group.
Significantly regulated transcripts of metabolic pathways in liver tissue between two ontogenetic stages within one dietary group (Ingenuity Pathway Analysis)
Direction of regulation
No. of regulated genes
Genes involved in pathway
94 dpc vs. 1 dpn
AKT2, INSR, PIK3C2A, PIK3R1, PPM1B, PRKAA1, PRKACB, RAC1
Mitotic roles of Polo- like kinase
CCNB1, CCNB2, CDC25B, CHEK2, KIF11, PLK4, PTTG1
CAD, DCTD, DKC1, POLQ, POLR3E, POLR3K, RFC5, RRM1, TYMS, UCK2
G2/M DNA damage checkpoint regulation
CCNB1, CCNB2, CDC25B, CHEK2, UBC, YWHAE
DDX39, PNPT1, POLA2, POLE2, POLR1B, POLR1C, POLR2I, RFC3, RRM2, RRM2B, RUVBL1, RUVBL2
CTPS, PNPT1, POLA2, POLE2, POLR1B, POLR1C, POLR2I, PUS1, RFC3, RRM2, RRM2B, TXNRD1, TYMS, UCK2
Mitotic roles of Polo- like kinase
ANAPC4, CDC27, CDK1, ESPL1, FZR1, PPP2R1B, PTTG1
G2/M DNA damage checkpoint regulation
CDK1, CHEK1, YWHAZ
AKT3, FZD5, MMP7, NLK, SOX4, TCF3, TCF4, TCF7L2, WNT5A
1 dpn vs. 28 dpn
AK1, CPT1A, EIF4EBP1, HMGCR, MAPK14, NOS3, PRKAA2, PRKAB2
EIF3F, EIF3G, EIF4EBP1, FNBP1, GNB1L, PRKAA2, PRKAB2
Val, Leu, Ile degradation
ACAD8, ACADL, ACADSB, BCAT1, DBT, MCCC2
Val, Leu, Ile degradation
ACADSB, ACAT1, ACAT2, ALDH1A1, AUH, BCKDHB, GCDH, HMGCL, HMGCS1, MCCC2, MCEE
Fatty acid metabolism
ACADSB, ACAT1, ACAT2, ALDH1A1, AUH, CYP51A1, GCDH, PECI
Synthesis and degradation of ketone bodies
ACAT1, ACAT2, BDH2, HMGCL, HMGCS1
Biosynthesis of steroids
CYP24A1, FDPS, HMGCR, IDI1, SC5DL
Glucocorticoid receptor signaling
CDKN1C, CXCL3, IL10, MAP3K1, NCOA2, NFKBIB, NR3C1, POLR2B, PRKACB, RRAS2, SLPI, SMARCA4
G1/S checkpoint regulation
CCNE1, CDC25A, CDKN1A, E2F3
28 dpn vs. 188 dpn
INSR, MAPK12, PPAT, PPM1A, PPP2CA, PPP2R3A, PRKAA2, SMARCA2, SRC, STK11
Fatty acid metabolism
ACADSB, ALDH1A1, CYP1B1, CYP2D6, CYP3A4, CYP4A11, CYP4B1, PECI
Mitotic roles of Polo- like kinase
ANAPC5, CDK1, PLK1, PLK2, PPP2R1B, SLK, WEE1
AKT3, BCL2, KDR, NOS3, PRKCB, RAC2, RRAS, VCL, VEGFC
Val, Leu, Ile degradation
ACAA1, ACAT1, ALDH1B1, AUH, ECH1, IVD, IWS1
Fatty acid elongation in mitochondria
ACAA1, AUH, ECH1
AKT3, DDIT4, EIF4B, EIF4G3, PPP2R1B, PRKAB2, PRKAG1, PRKAG2, TSC1, VEGFA
Actin cytoskeleton signaling
ACTB, ACTR2, ARPC4, ARPC1A, CD14, CFL1, F2R, FGD1, LBP, MAP2K1,
MYH9, NCKAP1, PAK2, PIK3C3, PIK3C2A, PIK3R4, PIKFYVE, PPP1R12A, RDX, ROCK1, ROCK2, TMSB4X, TMSL3, WASF1
ACTB, ACTR2, ARHGAP1, ARPC4, ARPC1A, CFL1, PIKFYVE, PPP1R12A, RDX, ROCK1, ROCK2, WASF1
ACTR2, ARPC4, ARPC1A, CFL1, MAP2K1, NCKAP1, PAK2, PIK3C3, PIK3C2A, PIK3R4, PIKFYVE, WASF1
C2, C7, C9, CFB, MBL2
Comparing perinatal and juvenile piglets (period II) 991 probe-sets were regulated in a different manner in AP offspring and in LP offspring. Of these, 448 probe-sets were up-regulated and 543 probe-sets showed lower expression at a higher age. Expression values of genes participating in 'AMPK signaling' and 'mTOR signaling' were increased, whereas genes associated with the 'degradation of valine, leucine and isoleucine' were decreased in AP offspring. In the same period 881 probe-sets exhibited ontogenetic regulation that was specific to LP offspring. Of these, 423 probe-sets showed an increased mRNA expression. Genes involved in 'fatty acid metabolism', 'biosynthesis of steroids', 'synthesis and degradation of ketone bodies', 'glucocorticoid receptor signaling' as well as the 'degradation of valine, leucine and isoleucine' were found to be up-regulated in LP offspring, while genes associated with 'G1/S checkpoint regulation' were down-regulated.
Comparison of microarray data and qRT-PCR of selected transcripts
We applied whole-genome microarrays to evaluate hepatic gene expression profiles of offspring from sows fed either an isocaloric maternal low protein or adequate protein diet throughout their pregnancy. In order to investigate transcriptional features of developmental nutritional programming we conducted a longitudinal experimental design covering prenatal, perinatal, juvenile and adult ontogenetic stages in a porcine model. The comparisons of the relative mRNA abundances depending on dietary group and ontogenetic stages provide an overall view of the developmental plasticity of the liver.
At the prenatal stage mRNA expression profiles were extensively altered between the dietary groups. At this time point the fetuses were subjected to a serious nutritional deficiency that requires an acute transcriptomic response. Following in utero exposure to a gestational low protein diet at 1 dpn we could not find significant regulatory changes of genes of any molecular route in porcine perinatal liver. At this stage the animals experienced a kind of release from metabolic burden after cross-fostering and suckling. Obviously, this initiates an immediate recovery of the activity of genes to 'normal level' reflected by similar expression pattern in LP and AP piglets. However, at the whole-body level adverse consequences of restricted intrauterine supply were observed . In juvenile LP offspring, mRNA expression profiles were moderately altered compared to AP offspring. However, the number of differentially expressed probe-sets increased extensively at adult stage. The observed transcriptional postnatal regulations were delayed long-term effects of the prenatal nutritional supply. Due to the normal dietary conditions at juvenile and adult stages the alterations found here can be regarded as fetal nutritional programming.
Our model indicates that gestational LP diets affected the hepatic expression profiles in an acute, short-term as well as in a delayed, long-term manner in LP offspring. Due to the LP diet a number of molecular routes related to cell cycle and cellular turnover, response to stimuli, as well as energy-, lipid- and amino acid metabolic pathways are shifted on the transcriptional level in the liver at prenatal stages under the direct influence of limited protein and/or amino acid supply, but also postnatal. The effect is characterised by a programming of the genome that leads to different responsiveness and adaptability of the gene expression machinery to chronic and acute environmental stimuli, i.e. nutritional supply. Together with the observation that the offspring of both groups did not differ in bodyweight but in body composition and fat content , the data indicate that the activity of different genes led to different partitioning of nutrients among peripheral and visceral organs and tissues.
Transcriptional excursions regarding cell maintenance and proliferation
Mammalian cell division is precisely regulated by variate factors and functional networks. Therefore, cell division is synchronous with cell growth [19, 20]. Eukaryotic cells evolved elaborate mechanisms to verify the fidelity of cell division. Therefore, a cell cycle control system can arrest the cycle at certain checkpoints. Key components in terms of cell cycle regulation are cyclins. Cyclin levels undergo an oscillation of synthesis and degradation in each cell cycle and fall at a proper developmental time point to exit the cell cycle [21, 22]. Therefore, the transcriptional control of cyclins provides an additional level of growth regulation. Mitotic cyclins interact with Polo-like kinases (PLK), an evolutionary conserved family of essential cell cycle regulators, which are required at several key points within mitosis, including entry into and exit from mitosis [23, 24]. It has been shown that fetal growth retardation is accompanied by alterations in cell cycle regulating molecules at both transcriptome  and proteome level . However, longitudinal studies focussed on diet-dependent alterations of cell cycle regulators are scarce. The porcine expression patterns in this study showed a decreased mRNA expression of genes associated with the control of mitosis and cell cycle checkpoint regulation at stage 94 dpc in LP fetuses. These regulations may indicate an impaired fetal growth performance due to the gestational low protein diet. Therefore, the down-regulation of cell cycle regulating pathways might lead to a lengthened cell cycle in LP fetuses and offspring  and cumulate in growth retardation in LP fetuses. In AP fetuses, cell cycle parameters were found to be decreased in expression within developmental period I, which indicates a terminated fetal growth. In contrast, LP fetuses showed an increased expression of transcripts associated with cell division within the corresponding developmental period. Obviously, the increased mRNA expression of genes related to cell cycle regulators within developmental period I in LP offspring accounts for compensatory regulations regarding the lowered fetal weight due to the gestational diet. Within developmental period III, AP offspring showed a decreased expression of genes associated with Polo-like kinases, which is in line with the assumption that LP pigs have not terminated their growth at stage 188 dpn; in particular their liver has not attained a steady-state and that there is persistent functional demand towards cell proliferation potentially to respond to an elevated metabolic burden, including a higher turn over of lipids and ketone bodies.
The expression level of NCAPG (non-structural maintenance of chromosomes (SMC) condensin I complex subunit G) was highlighted as strongly associated with fetal growth retardation [28, 29]. According to recent studies NCAPG is important during mitotic cell division. Due to the gestational low protein diet NCAPG was found to be down-regulated in LP fetuses compared to AP fetuses, which reflects the organismal effort to counteract the growth retarding processes in LP fetuses.
Beside pathways related to the control of growth and cell deviation, the diet-dependent expression patterns showed regulation in genes associated with biosynthesis, degradation and salvage of nucleotides ('purine and pyrimidine metabolism') as well as cell motility and cytokinesis ('actin cytoskeleton signaling', 'Rac signaling', 'RhoA signaling'). These expression patterns suggest a dietary effect on cellular turn-over, which might be increased at early stages but decreased at adult stage in LP offspring. Therefore, a diet-dependent tissue remodelling might take place in LP offspring as observed previously .
The 'mTOR signaling' acts as an important nutrient sensing pathway that controls protein synthesis in mammalian cells at the level of translation . Upstream signaling events of 'mTOR signaling' include alterations in amino acid availability, abundance of hormones, AMP and growth factors . Thus, 'mTOR signaling' is involved in regulating individual cell growth, growth performance, and developmental processes [33, 34]. An increase of 'mTOR signaling' within developmental period II was observed in AP offspring, but not in the LP group. This may account for improper protein synthesis  in LP offspring. However, at adult stage a diet-dependent up-regulation of 'mTOR signaling' in LP offspring suggests a transcriptional priority for cellular growth and proliferation. Therefore, 'mTOR signaling' might be involved in compensatory growth processes at adult stage in LP offspring.
Another signaling pathway identified to be regulated in a diet-dependent manner is the 'VEGF (vascular endothelial growth factor) signaling' pathway, which is known from gene deletion studies to be essential in developmental processes [36, 37]. Therefore, the transcriptional up-regulation of 'VEGF signaling' reflects the effort on cell maintenance and angiogenic growth in LP offspring at stage 188 dpn. Obviously, hepatic ontogenetic growth is not finished at adult stage in LP offspring in contrast to AP offspring.
Furthermore, the dietary modifications led to regulation of the 'Wnt signaling' pathway, which is involved in various aspects of embryogenesis, including cell differentiation and cell proliferation . Therefore, the observed mRNA expression patterns might contribute to an impaired developmental growth in LP offspring.
Regarding the LP model used in rodents, it has been suggested that the maternal LP diet had an impact on 'insulin signaling' as well as on 'IGF1 signaling' and its binding proteins [30, 39–43]. However, in this study no regulation of both 'insulin signaling' and 'IGF1 signaling' was observed in liver tissue of LP porcine offspring, possibly due to maturation-, species-, tissue-, sex- and time-dependent regulations.
Transcriptional excursions regarding lipid-, energy- and N-metabolism
During postnatal development a remarkable number of diet- and stage-dependent transcriptionally regulated pathways were related to lipid metabolism, including 'fatty acid metabolism', 'fatty acid elongation in mitochondria', 'synthesis and degradation of ketone bodies', 'bile acid synthesis' and 'biosynthesis of steroids'. These findings suggest that pathways associated to lipid metabolism are part of postnatal adaptive responses to the prenatal nutritional environment in LP offspring. Consistent with these observations, genes associated with lipid metabolism were found to be altered at pre- and postnatal stages in rodents, where the LP model was studied intensively [44–49]. Furthermore, the transcriptional adaptations may have consequences for the offspring's phenotype, including alterations of plasma parameters [44–46, 50], hepatic histology  and body composition .
According to the longitudinal study design the 'AMPK (AMP-dependent activated kinase) signaling' was found to be regulated throughout ontogenesis in AP offspring only. 'AMPK signaling' is a metabolic pathway which is involved in the regulation of the lipid and energy metabolism in mammalian cells [51–56]. In particular, the cellular energy sensor AMPK is essential for a proper mitochondrial activity and metabolic health citeTowler2007. Therefore, the up-regulation of 'AMPK signaling' in developmental periods I, II and III in AP offspring accounts for metabolic health in AP offspring, but not in LP offspring. On the one hand, this matter may be related to mitochondrial impairments which may happen due to the LP diet, as has been suggested previously [57, 58]. On the other hand, it might be associated to the transcriptional excursions within the lipid metabolism in LP offspring. Moreover, the expression of the catalytic subunits of AMPK, PRKAA1 and PRKAA2 was found to be decreased in LP offspring compared to AP offspring at stage 188 dpn, which may contribute to an imbalanced cellular metabolism. Taken together, the observed regulations were seen as a clue for impairments in energy metabolism in LP offspring during ontogenesis.
Furthermore, the diet-dependent transcriptional excursions revealed an impact on N-metabolism. In particular, the degradation of essential, branch-chained amino acids like valine, leucine and isoleucine was found to be regulated, which may illustrate the LP offspring's efforts to mimic prenatal experiences in terms of dietary supply during postnatal development in the face of richer conditions. Although essential amino acids are needed for growth, anabolic and developmental processes, transcriptional levels of genes leading to degradation of those dietary valuable compounds is forced during postnatal development in LP offspring.
Transcriptional excursions regarding stress and immune response
The biological effect of glucocorticoids is modulated by glucocorticoid receptors. By means of succeeding direct and indirect interactions of downstream target genes, mRNA expression regarding metabolic, behavioural, cardiovascular and immune functions is modulated. In rodents, many studies reported an impact of maternal low protein diets on expression and affinity of the glucocorticoid receptor and its signaling molecules [8, 48, 59–61]. Consistently, in porcine offspring a diet-dependent regulation of 'glucocorticoid receptor signaling' was also found. Therefore, expression profiles at weaning and adult stages point to an alarm alert (activated defence) in LP offspring. Furthermore, genes associated with the complement system were found to be regulated in a diet-dependent manner at stage 28 dpn. Obviously, at least a part of the innate immune system is impaired when LP offspring is faced with a pre-biotical stress like weaning. Consistent with this finding, expression of genes associated with an impaired immunity were found to be altered in offspring of protein malnourished dams [62, 63].
In conclusion, the longitudinal survey of the hepatic transcriptomic response in offspring of dams fed either a gestational low protein diet (LP, 6% CP) or an adequate protein diet (AP, 12% CP) at prenatal (94 dpc), perinatal (1 dpn), juvenile(28 dpn), and adult (188 dpn) ontogenetic stages revealed acute short-term and delayed long-term modulations. The changes in gene expression were not persistent in terms of consistent differential expression of genes at all stages. However, genes related to cell cycle and cellular turnover were differentially expressed at all stages except stage 1 dpn. This stage appeared as a phase of recovery of the activity of genes. Differential expression of genes related to lipid, ketone body, and amino acid metabolism indicate that the offspring of both groups uses different metabolic directions in response to identical nutritional condition during postnatal life.
Animals and sample collection
At 94 dpc of gestation, a subset of eight sows per dietary group was subjected to Caesarean section (EXP1). Sows were anaesthetised as described . This experiment was performed over 5 replicates. Eight viable fetuses per sow were collected starting at the tip of the left uterus horn and alternating between left and right horn. Fetuses were killed by i.v. injection of T61 in the V. cava cranialis and liver samples were immediately collected (approximately 500 mg), frozen in liquid nitrogen, and stored at -80°C until analysis. Fetuses originated from litters of at least 11 viable piglets. Fetuses of LP-fed dams showed a numerically lowered weight compared to AP fetuses at 94 dpc (LP: 661 ± 115 g, and AP: 711 ± 118 g, respectively; P = 0.12; n = 32). The smallest and the heaviest fetus within one litter were selected for transcriptome analysis.
In the second experiment (EXP2) offspring selected for the postnatal time points was born to primiparous sows after prostaglandin induction of parturition as described  and farrowed after mean pregnancy duration of 115 days. This experiment was conducted over 8 replicates and offspring of a subset of 4 sows (2 per diet per replicate) with a minimum of 11 live born piglets (median litter size = 13) were used. At birth 10 piglets in each litter were distributed over three time points (1, 28, 188 dpn). For the microarray analyses, 8 sib pairs (light and heavy piglet from one litter) which were balanced for sex (all stages) and discordant for weight (light and heavy piglet; stages 94 dpc and 1 dpn only) were chosen per stage and diet.
Mean birth weights of LP newborn piglets used for microarray analyses were numerically lower than birth weights of AP offspring (LP: 1.21 ± 0.30 kg, AP: 1.36 ± 0.31 kg, P = 0.08, n = 32). Including all piglets derived from the complete experiment, LP offspring was growth-restricted compared to AP offspring, but litter size did not differ . Thirty-six hours after birth, the lightest and the heaviest piglet within one litter were killed by i.m. injection of 1.25 mg propionyl-promazine (0.2 ml Combelen, Bayer AG, Leverkusen, Germany) and 50 mg ketamine (Ursotamin, Serumwerk Bernburg AG, Germany). Samples were immediately collected from lobus sinister hepaticus (approximately 500 mg), frozen in liquid nitrogen, and stored at -80°C until analysis.
The remaining piglets were cross-fostered to non-experimental sows of 2nd to 4th parities, which were on the AP diet during gestation. All sows were fed AP lactation diets. Litter size during suckling was standardised to 11 piglets per sow. Male piglets were castrated at d 4 of age. From weaning (28 dpn) to slaughter (188 dpn), all piglets were individually reared. They had free access to standard diets formulated for post-weaning (d 29 to d 76), growing (d 77 to d 105) and finishing periods . At 28 dpn and 188 dpn of age, pigs were weighed after an overnight fast and killed by electronarcosis followed by exsanguination in the experimental slaughterhouse of FBN. Among the animals used for the microarray expression analysis, weaners of the LP group showed numerically but not significantly lower body weight than the AP group, (LP: 7.24 ± 1.56 kg, AP: 7.59 ± 2.14 kg, P = 0.30, n = 32). At 188 dpn the body weight was slightly but significantly reduced in LP compared to AP (LP: 123.19 ± 9.15 kg, AP: 131.55 ± 15.11 kg, P - 0.03; n - 32). For all animals of the experiment no significant differences in body weight were observed at 28 and 188 dpn [15, 16]. Liver tissue was immediately collected from lobus sinister hepaticus, frozen in liquid nitrogen, and stored at - 80°C until use for RNA isolation.
RNA isolation, target preparation and hybridisation
According to the manufacturer's protocol total RNA from individual liver samples was isolated using Tri-Reagent (Sigma-Aldrich, Taufkirchen, Germany). After DNase treatment a column-based purification using the RNeasy Mini Kit (Qiagen, Hilden, Germany) was done. The RNA samples were visualised on 1% agarose gels containing ethidium bromide to check RNA integrity. RNA was quantified by spectrometry with a NanoDrop ND-1000 spectrophotometer (PEQLAB, Erlangen, Germany). To ensure the absence of a DNA contamination within the isolated RNA a PCR amplification with the porcine glyceraldehyde-3-phosphate dehydrogenase (GAPDH) gene was done (Forward primer: aagcagggatgatgttctgg; Reverse primer: atgcctcctgtaccaccaac). All RNA samples were stored at -80°C until downstream analysis was performed. For the microarray experiments individual biotin-labeled cRNA was synthesised by the Gene Chip 3' Express Kit (Affymetrix, Santa Clara, CA, USA). The cRNA was fragmented (≈ 100 bp) and hybridised on Affymetrix GeneChip®porcine Genome Array. After staining and washing steps the arrays were scanned (Affymetrix, Santa Clara, CA, USA).
The bioinformatic analysis was done in R . Firstly, a quality control was performed. At 94 dpc 15 AP-samples met the appropriate quality control criteria (94 dpc-LP: 16; 1 dpn-AP: 15; 1 dpn-LP: 14; 28 dpn-AP: 14; 28 dpn-LP: 15; 188 dpn-AP: 16; 188 dpn-LP: 16 samples). Samples were GC-RMA normalised (Log2). The MAS5 algorithm was used to skip those transcripts which were expressed in less than 50% of the animals within one dietary group per stage. For a second filtering step standard deviations were calculated for each probe-set over all subsets of arrays of the particular comparisons. Probe-sets with a low standard deviation (s ≤ 0.25) were discarded, because such transcripts are not likely to be regulated.
Relative changes in mRNA levels were determined using a mixed model analysis, including effects of dietary treatment, sex, mother, birth weight and interaction between diet and sex (v ijkl = diet i + sex j + mother k (diet i ) + weight l + (dietxsex) ij + error ijkl ). P-values (significance set at P ≤ 0.05) for each stage were converted to a set of q-values (q ≤ 0.25) using the algorithm proposed by Storey and Tibshirani . In general, results are given for the comparisons in the direction of LP vs. AP; thus 'up-regulation' or 'increased expression' indicates higher expression in LP than in AP. Analysis of the pathways involved was carried out using Ingenuity Pathway Analysis . The up-to-date annotation of Affymetrix probe-sets to EnsEMBL Sscofa 9 (20,439 of 23,935 annotated probe-sets) was used . All the microarray data is MIAME compliant and the raw data has been deposited in a MIAME compliant database, the National Center for Biotechnology Information Gene Expression Omnibus http://www.ncbi.nlm.nih.gov/geo (accession numbers: GSE25482 and GSE31191).
Gene lists from microarray results were submitted to the manually curated database 'Ingenuity Pathways Analysis' to elucidate putative pathways associated with an altered gene expression in porcine liver. The focus was on those canonical pathways which came up at least once within the top ten regulated pathways within one single analysis. It should be noted here that the interactions presented in the networks are not specific for porcine liver tissue, as the database contains literature from many different research areas.
Quantitative real-time RT-PCR
Primer used to verify microarray experiments in liver tissue by qRT-PCR
Sequence 5' - 3'
The study is part of the project FEPROeXPRESS (FUGATOplus http://www.fugato-forschung.de/, FKZ 0315132A), which is funded by the German Federal Ministry of Education and Research. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
- Barker D: Fetal programming of coronary heart disease. Trends Endocrinol Metab. 2002, 13 (9): 364-8. 10.1016/S1043-2760(02)00689-6.View ArticlePubMedGoogle Scholar
- Barker D, Osmond C, Forsen T, Kajantie E, Eriksson J: Trajectories of growth among children who have coronary events as adults. N Engl J Med. 2005, 353 (17): 1802-9. 10.1056/NEJMoa044160.View ArticlePubMedGoogle Scholar
- Ozanne S, Hales C: Early programming of glucose-insulin metabolism. Trends Endocrinol Metab. 2002, 13 (9): 368-73. 10.1016/S1043-2760(02)00666-5.View ArticlePubMedGoogle Scholar
- Ozanne S, Lewis R, Jennings B, Hales C: Early programming of weight gain in mice prevents the induction of obesity by a highly palatable diet. Clin Sci (Lond). 2004, 106 (2): 141-5. 10.1042/CS20030278.View ArticleGoogle Scholar
- Symonds M, Gardner D: Experimental evidence for early nutritional programming of later health in animals. Curr Opin Clin Nutr Metab Care. 2006, 9 (3): 278-83. 10.1097/01.mco.0000222112.46042.19.View ArticlePubMedGoogle Scholar
- Armitage J, Khan I, Taylor P, Nathanielsz P, Poston L: Developmental programming of the metabolic syndrome by maternal nutritional imbalance: how strong is the evidence from experimental models in mammals?. J Physiol. 2004, 561 (Pt 2): 355-77.PubMed CentralView ArticlePubMedGoogle Scholar
- Bateson P, Barker D, Clutton-Brock T, Deb D, D'Udine B, Foley R, Gluckman P, Godfrey K, Kirkwood T, Lahr M, McNamara J, Metcalfe N, Monaghan P, Spencer H, Sultan S: Developmental plasticity and human health. Nature. 2004, 430 (6998): 419-21. 10.1038/nature02725.View ArticlePubMedGoogle Scholar
- Bertram C, Trowern A, Copin N, Jackson A, Whorwood C: The maternal diet during pregnancy programs altered expression of the glucocorticoid receptor and type 2 11beta-hydroxysteroid dehydrogenase: potential molecular mechanisms underlying the programming of hypertension in utero. Endocrinol. 2001, 142 (7): 2841-53. 10.1210/en.142.7.2841.Google Scholar
- Fernandez-Twinn D, Ozanne S, Ekizoglou S, Doherty C, James L, Gusterson B, Hales C: The maternal endocrine environment in the low-protein model of intra-uterine growth restriction. Br J Nutr. 2003, 90 (4): 815-22. 10.1079/BJN2003967.View ArticlePubMedGoogle Scholar
- McMillen I, Robinson J: Developmental origins of the metabolic syndrome: prediction, plasticity, and programming. Physiol Rev. 2005, 85 (2): 571-633. 10.1152/physrev.00053.2003.View ArticlePubMedGoogle Scholar
- Stein A, Zybert M, van de Bor PA, Lumey L: Intrauterine famine exposure and body proportions at birth: the Dutch Hunger Winter. Int J Epidemiol. 2004, 33 (4): 831-6. 10.1093/ije/dyh083.View ArticlePubMedGoogle Scholar
- Ravelli A, van der Meulen J, Michels R, Osmond C, Barker D, Hales C, Bleker O: Glucose tolerance in adults after prenatal exposure to famine. Lancet. 1998, 351 (9097): 173-7. 10.1016/S0140-6736(97)07244-9.View ArticlePubMedGoogle Scholar
- Guilloteau P, Zabielski R, Hammon H, Metges C: Nutritional programming of gastrointestinal tract development. Is the pig a good model for man?. Nutr Res Rev. 2010, 23 (1): 4-22. 10.1017/S0954422410000077.View ArticlePubMedGoogle Scholar
- Lunney J: Advances in swine biomedical model genomics. Int J Biol Sci. 2007, 3 (3): 179-84.PubMed CentralView ArticlePubMedGoogle Scholar
- Rehfeldt C, Lang I, Goers S, Hennig U, Kalbe C, Stabenow B, Bruessow K, Pfuhl R, Bellmann O, Nuernberg G, Otten W, Metges C: Low and excess dietary protein levels during gestation affect growth and compositional traits in gilts and impair offspring fetal growth. J Anim Sci. 2011, 89 (2): 329-41. 10.2527/jas.2010-2970.View ArticlePubMedGoogle Scholar
- Rehfeldt C, Lefaucheur L, Block J, Stabenow B, Pfuhl R, Otten W, Metges C, Kalbe C: Limited and excess protein intake of pregnant gilts differently affects body composition and cellularity of skeletal muscle and subcutaneous adipose tissue of newborn and weanling piglets. Eur J Nutr. 2012, 51 (2): 151-65. 10.1007/s00394-011-0201-8.View ArticlePubMedGoogle Scholar
- Rehfeldt C, Stabenow B, Pfuhl R, Block J, Nuernberg G, Otten W, Metges C, Kalbe C: Effects of limited and excess protein intakes of pregnant gilts on carcass quality and cellular properties of skeletal muscle and subcutaneous adipose tissue in fattening pigs. J Anim Sci. 2012, 90 (1): 184-96. 10.2527/jas.2011-4234.View ArticlePubMedGoogle Scholar
- Naraballobh W, Chomdej S, Murani E, Wimmers K, Ponsuksili S: Annotation and in silico localization of the Affymetrix GeneChip Porcine Genome Array. Arch Anim Breed. 2010, 53: 230-238.Google Scholar
- Jorgensen P, Tyers M: How cells coordinate growth and division. Curr Biol. 2004, 14 (23): R1014-27. 10.1016/j.cub.2004.11.027.View ArticlePubMedGoogle Scholar
- Tzur A, Kafri R, LeBleu V, Lahav G, Kirschner M: Cell growth and size homeostasis in proliferating animal cells. Science. 2009, 325 (5937): 167-71. 10.1126/science.1174294.PubMed CentralView ArticlePubMedGoogle Scholar
- Darzynkiewicz Z, Gong J, Juan G, Ardelt B, Traganos F: Cytometry of cyclin proteins. Cytometry. 1996, 25 (1): 1-13. 10.1002/(SICI)1097-0320(19960901)25:1<1::AID-CYTO1>3.0.CO;2-N.View ArticlePubMedGoogle Scholar
- Jacobberger J, Sramkoski R, Wormsley S, Bolton W: Estimation of kinetic cell-cycle- related gene expression in G1 and G2 phases from immunofluorescence flow cytometry data. Cytometry. 1999, 35 (3): 284-9. 10.1002/(SICI)1097-0320(19990301)35:3<284::AID-CYTO12>3.0.CO;2-K.View ArticlePubMedGoogle Scholar
- Glover D, Hagan I, Tavares A: Polo-like kinases: a team that plays throughout mitosis. Genes Dev. 1998, 12 (24): 3777-87. 10.1101/gad.12.24.3777.View ArticlePubMedGoogle Scholar
- Nigg E: Polo-like kinases: positive regulators of cell division from start to finish. Curr Opin Cell Biol. 1998, 10 (6): 776-83. 10.1016/S0955-0674(98)80121-X.View ArticlePubMedGoogle Scholar
- Maloney C, Lilley C, Cruickshank M, McKinnon C, Hay S, Rees W: The expression of growth-arrest genes in the liver and kidney of the protein-restricted rat fetus. Br J Nutr. 2005, 94: 12-18. 10.1079/BJN20051447.View ArticlePubMedGoogle Scholar
- Sparre T, Reusens B, Cherif H, Larsen M, Roepstorff P, Fey S, Mose Larsen P, Remacle C, Nerup J: Intrauterine programming of fetal islet gene expression in rats-effects of maternal protein restriction during gestation revealed by proteome analysis. Diabetologia. 2003, 46 (11): 1497-511. 10.1007/s00125-003-1208-3.View ArticlePubMedGoogle Scholar
- Petrik J, Reusens B, Arany E, Remacle C, Coelho C, Hoet J, Hill D: A low protein diet alters the balance of islet cell replication and apoptosis in the fetal and neonatal rat and is associated with a reduced pancreatic expression of insulin-like growth factor-II. Endocrinol. 1999, 140 (10): 4861-73. 10.1210/en.140.10.4861.Google Scholar
- Maltecca C, Weigel K, Khatib H, Cowan M, Bagnato A: Whole-genome scan for quantitative trait loci associated with birth weight, gestation length and passive immune transfer in a Holstein x Jersey crossbred population. Anim Genet. 2009, 40 (1): 27-34. 10.1111/j.1365-2052.2008.01793.x.View ArticlePubMedGoogle Scholar
- Eberlein A, Takasuga A, Setoguchi K, Pfuhl R, Flisikowski K, Fries R, Klopp N, Fuerbass R, Weikard R, Kuehn C: Dissection of genetic factors modulating fetal growth in cattle indicates a substantial role of the non-SMC condensin I complex, subunit G (NCAPG) gene. Genet. 2009, 183 (3): 951-64. 10.1534/genetics.109.106476.View ArticleGoogle Scholar
- McNeil C, Hay S, Rucklidge G, Reid M, Duncan G, Rees W: Gene and protein expression profiles in the foetal liver of the pregnant rat fed a low protein diet. Genes Nutr. 2009, 4 (3): 189-94. 10.1007/s12263-009-0125-6.PubMed CentralView ArticlePubMedGoogle Scholar
- Jacinto E, Hall M: Tor signalling in bugs, brain and brawn. Nat Rev Mol Cell Biol. 2003, 4 (2): 117-26. 10.1038/nrm1018.View ArticlePubMedGoogle Scholar
- Nijland M, Schlabritz-Loutsevitch N, Hubbard G, Nathanielsz P, Cox L: Non-human primate fetal kidney transcriptome analysis indicates mammalian target of rapamycin (mTOR) is a central nutrient-responsive pathway. J Physiol. 2007, 579 (Pt 3): 643-656.PubMed CentralView ArticlePubMedGoogle Scholar
- Ruvinsky I, Meyuhas O: Ribosomal protein S6 phosphorylation: from protein synthesis to cell size. Trends Biochem Sci. 2006, 31 (6): 342-8. 10.1016/j.tibs.2006.04.003.View ArticlePubMedGoogle Scholar
- Foster K, Fingar D: Mammalian target of rapamycin (mTOR): conducting the cellular signaling symphony. J Biol Chem. 2010, 285 (19): 14071-7. 10.1074/jbc.R109.094003.PubMed CentralView ArticlePubMedGoogle Scholar
- Inoki K, Zhu T, Guan K: TSC2 mediates cellular energy response to control cell growth and survival. Cell. 2003, 115 (5): 577-90. 10.1016/S0092-8674(03)00929-2.View ArticlePubMedGoogle Scholar
- Shalaby F, Rossant J, Yamaguchi T, Gertsenstein M, Wu X, Breitman M, Schuh A: Failure of blood-island formation and vasculogenesis in Flk-1-deficient mice. Nature. 1995, 376 (6535): 62-6. 10.1038/376062a0.View ArticlePubMedGoogle Scholar
- Ferrara N, Carver-Moore K, Chen H, Dowd M, Lu L, O'Shea K, Powell-Braxton L, Hillan K, Moore M: Heterozygous embryonic lethality induced by targeted inactivation of the VEGF gene. Nature. 1996, 380 (6573): 439-42. 10.1038/380439a0.View ArticlePubMedGoogle Scholar
- Logan C, Nusse R: The Wnt signaling pathway in development and disease. Annu Rev Cell Dev Biol. 2004, 20: 781-810. 10.1146/annurev.cellbio.20.010403.113126.View ArticlePubMedGoogle Scholar
- El-Khattabi I, Gregoire F, Remacle C, Reusens B: Isocaloric maternal low-protein diet alters IGF-I, IGFBPs, and hepatocyte proliferation in the fetal rat. Am J Physiol Endocrinol Metab. 2003, 285 (5): E991-E1000.View ArticlePubMedGoogle Scholar
- Petry C, Dorling M, Pawlak D, Ozanne S, Hales C: Diabetes in old male offspring of rat dams fed a reduced protein diet. Int J Exp Diabetes Res. 2001, 2 (2): 139-43. 10.1155/EDR.2001.139.PubMed CentralView ArticlePubMedGoogle Scholar
- Fernandez-Twinn D, Wayman A, Ekizoglou S, Martin M, Hales C, Ozanne S: Maternal protein restriction leads to hyperinsulinemia and reduced insulin-signaling protein expression in 21-mo-old female rat offspring. Am J Physiol Regul Integr Comp Physiol. 2005, 288 (2): R368-R373.View ArticlePubMedGoogle Scholar
- Ozanne S, Olsen G, Hansen L, Tingey K, Nave B, Wang C, Hartil K, Petry C, Buckley A, Mosthaf-Seedorf L: Early growth restriction leads to down regulation of protein kinase C zeta and insulin resistance in skeletal muscle. J Endocrinol. 2003, 177 (2): 235-41. 10.1677/joe.0.1770235.View ArticlePubMedGoogle Scholar
- Muaku S, Beauloye V, Thissen J, Underwood L, Ketelslegers J, Maiter D: Effects of maternal protein malnutrition on fetal growth, plasma insulin-like growth factors, insulin-like growth factor binding proteins, and liver insulin-like growth factor gene expression in the rat. Pediatr Res. 1995, 37 (3): 334-42. 10.1203/00006450-199503000-00014.View ArticlePubMedGoogle Scholar
- Maloney C, Gosby A, Phuyal J, Denyer G, Bryson J, Caterson I: Site-specific changes in the expression of fat-partitioning genes in weanling rats exposed to a low-protein diet in utero. Obes Res. 2003, 11 (3): 461-8. 10.1038/oby.2003.63.View ArticlePubMedGoogle Scholar
- Bol V, Delattre A, Reusens B, Raes M, Remacle C: Forced catch-up growth after fetal protein restriction alters the adipose tissue gene expression program leading to obesity in adult mice. Am J Physiol Regul Integr Comp Physiol. 2009, 297 (2): R291-9. 10.1152/ajpregu.90497.2008.View ArticlePubMedGoogle Scholar
- Erhuma A, Salter A, Sculley D, Langley-Evans S, Bennett A: Prenatal exposure to a low-protein diet programs disordered regulation of lipid metabolism in the aging rat. Am J Physiol Endocrinol Metab. 2007, 292 (6): E1702-E1714. 10.1152/ajpendo.00605.2006.PubMed CentralView ArticlePubMedGoogle Scholar
- Guan H, Arany E, van Beek J, Chamson-Reig A, Thyssen S, Hill D, Yang K: Adipose tissue gene expression profiling reveals distinct molecular pathways that define visceral adiposity in offspring of maternal protein-restricted rats. Am J Physiol Endocrinol Metab. 2005, 288 (4): E663-E673.View ArticlePubMedGoogle Scholar
- Lillycrop K, Phillips E, Jackson A, Hanson M, Burdge G: Dietary protein restriction of pregnant rats induces and folic acid supplementation prevents epigenetic modification of hepatic gene expression in the offspring. J Nutr. 2005, 135 (6): 1382-86.PubMedGoogle Scholar
- Lillycrop K, Rodford J, Garratt E, Slater-Jefferies J, Godfrey K, Gluckman P, Hanson M, Burdge G: Maternal protein restriction with or without folic acid supplementation during pregnancy alters the hepatic transcriptome in adult male rats. Br J Nutr. 2010, 103 (12): 1711-9. 10.1017/S0007114509993795.View ArticlePubMedGoogle Scholar
- Lucas A, Baker B, Desai M, Hales C: Nutrition in pregnant or lactating rats programs lipid metabolism in the offspring. Br J Nutr. 1996, 76 (4): 605-12. 10.1079/BJN19960066.View ArticlePubMedGoogle Scholar
- Towler M, Hardie D: AMP-activated protein kinase in metabolic control and insulin signaling. Circ Res. 2007, 100 (3): 328-41. 10.1161/01.RES.0000256090.42690.05.View ArticlePubMedGoogle Scholar
- Merrill G, Kurth E, Hardie D, Winder W: AICA riboside increases AMP-activated protein kinase, fatty acid oxidation, and glucose uptake in rat muscle. Am J Physiol. 1997, 273 (6 Pt 1): E1107-12.PubMedGoogle Scholar
- Hardie D, Scott J, Pan D, Hudson E: Management of cellular energy by the AMP-activated protein kinase system. FEBS Lett. 2003, 546 (1): 113-20. 10.1016/S0014-5793(03)00560-X.View ArticlePubMedGoogle Scholar
- Hardie D: Minireview: the AMP-activated protein kinase cascade: the key sensor of cellular energy status. Endocrinol. 2003, 144 (12): 5179-83. 10.1210/en.2003-0982.View ArticleGoogle Scholar
- Kahn B, Alquier T, Carling D, Hardie D: AMP-activated protein kinase: ancient energy gauge provides clues to modern understanding of metabolism. Cell Metab. 2005, 1 (1): 15-25. 10.1016/j.cmet.2004.12.003.View ArticlePubMedGoogle Scholar
- Corton J, Gillespie J, Hardie D: Role of the AMP-activated protein kinase in the cellular stress response. Curr Biol. 1994, 4 (4): 315-24. 10.1016/S0960-9822(00)00070-1.View ArticlePubMedGoogle Scholar
- Theys N, Bouckenooghe T, Ahn MT, Remacle C, Reusens B: Maternal low-protein diet alters pancreatic islet mitochondrial function in a sex-specific manner in the adult rat. Am J Physiol Regul Integr Comp Physiol. 2009, 297: R1516-R1525. 10.1152/ajpregu.00280.2009.View ArticlePubMedGoogle Scholar
- Mortensen O, Olsen H, Frandsen L, PE Nielsen Nielsen F, Grunnet N, Quistorff B: A maternal low protein diet has pronounced effects on mitochondrial gene expression in offspring liver and skeletal muscle; protective effect of taurine. J Biomed Sci. 2010, 17 (Suppl 1): S38-10.1186/1423-0127-17-S1-S38.PubMed CentralView ArticlePubMedGoogle Scholar
- Zhang J, Byrne C: Differential hepatic lobar gene expression in offspring exposed to altered maternal dietary protein intake. Am J Physiol Gastrointest Liver Physiol. 2000, 278: G128-G136.PubMedGoogle Scholar
- Lillycrop K, Slater-Jefferies J, Hanson M, Godfrey K, Jackson A, Burdge G: Induction of altered epigenetic regulation of the hepatic glucocorticoid receptor in the offspring of rats fed a protein-restricted diet during pregnancy suggests that reduced DNA methyltransferase-1 expression is involved in impaired DNA methylation and changes in histone modifications. Br J Nutr. 2007, 97 (6): 1064-73. 10.1017/S000711450769196X.PubMed CentralView ArticlePubMedGoogle Scholar
- Langley-Evans S, Gardner D, Jackson A: Maternal protein restriction influences the programming of the rat hypothalamic-pituitary-adrenal axis. J Nutr. 1996, 126 (6): 1578-85.PubMedGoogle Scholar
- Calder P, Yaqoob P: The level of protein and type of fat in the diet of pregnant rats both affect lymphocyte function in the offspring. Nutr Res. 2000, 20 (7): 995-1005. 10.1016/S0271-5317(00)00190-1.View ArticleGoogle Scholar
- Vanselow J, Kucia M, Langhammer M, Koczan D, Rehfeldt C, Metges C: Hepatic expression of the GH/JAK/STAT/IGF pathway, acute-phase response signalling and complement system are affected in mouse offspring by prenatal and early postnatal exposure to maternal high-protein diet. Eur J Nutr. 2011, 50 (8): , 611-23.View ArticlePubMedGoogle Scholar
- Sarr O, Louveau I, Kalbe C, Metges C, Rehfeldt C, Gondret F: Prenatal exposure to maternal low or high protein diets induces modest changes in the adipose tissue proteome of newborn piglets. J Anim Sci. 2010, 88 (5): 1626-41. 10.2527/jas.2009-2542.View ArticlePubMedGoogle Scholar
- The R-project website, accessed 2010 Sep 2. [http://www.r-project.org]
- Storey J, Tibshirani R: Statistical significance for genomewide studies. Proc Natl Acad Sci USA. 2003, 100 (16): 9440-5. 10.1073/pnas.1530509100.PubMed CentralView ArticlePubMedGoogle Scholar
- The Ingenuity Pathway Analysis website, accessed 2010 Dec 12. [http://www.ingenuity.com]