Epidemiological studies have demonstrated an association between slow growth of fetus in utero and a greater risk of CHD, type 2 diabetes, the metabolic syndrome and osteoporosis in later life( Reference Bruce and Hanson 1 , Reference Hales and Barker 2 ). Previous studies on fetal programming have suggested that the pattern of mammalian embryo or fetus development is programmed by the in utero experience to match the anticipated postnatal life, thus increasing the fitness of the offspring( Reference Gluckman, Hanson and Cooper 3 ). However, the programmed phenotype may induce harmful effects on the adaptability of the offspring when the practically experienced environment of the offspring is not consistent with the predicted postnatal environment( Reference Godfrey, Lillycrop and Burdge 4 ).
Intrauterine growth retardation is a condition where the fetus does not reach its growth potential during pregnancy, thus leading to the low birth weight (LBW) of offspring( Reference Wu, Bazer and Wallace 5 ). Skeletal muscle plays an important role in the process of metabolic diseases( Reference Kelley, Goodpaster and Wing 6 ). The results of a previous study have revealed that LBW impairs the expression of proteins involved in nutrient metabolism, immune response, cell structure and antioxidant function in the skeletal muscle of newborn piglets( Reference Wang, Chen and Li 7 ). There is extensive evidence that LBW changes the response of the offspring to postnatal environment, nutrition and stress reflected by the mRNA expression levels of key transcriptional factors, hormone secretion, nutrient metabolism and lipid deposition( Reference Wang, Wu and Lin 8 – Reference Morise, Sève and Macé 11 ). High-fat (HF) diet feeding is a well-characterised experimental model that is used for medical and nutritional studies( Reference Rueda-Clausen, Dolinsky and Morton 12 ). Nevertheless, whether the postnatal HF diet-induced changes in the expression of proteins in the skeletal muscle are dependent on the development of the offspring programmed by the in utero environment is scarcely understood. Furthermore, available data on fetal programming have been obtained mainly in rodents and not in pigs. Therefore, the present study was conducted to test whether the effect of a postnatal HF diet on meat quality traits and skeletal muscle proteome may differ between LBW and normal-birth weight (NBW) pigs. The results of the present study may provide a feeding strategy to reveal the detrimental effects of LBW on growth performance and meat quality.
Materials and methods
Animals and diets
The animal protocol of the present study was approved by the Animal Care and Use Committee of Sichuan Agricultural University. A total of forty cross-bred male piglets (Duroc (Landrace × Yorkshire)) from twenty litters were used in the present study (one NBW piglet and one LBW piglet were selected per litter). The body weight of each piglet was recorded at birth. Piglets with a birth weight above the average litter birth weight were defined as NBW piglets and those with a birth weight 2 standard deviations lower than the average litter birth weight were identified as LBW piglets. From weaning (day 28) to slaughter at approximately 110 kg body weight (Table 1), twenty NBW and twenty LBW male piglets were fed either a control diet (C, without lard supplementation) or a HF diet (supplemented with 10 % lard), thus forming four experimental groups (birth weight/diet): NBW/C; NBW/HF; LBW/C; LBW/HF (n 10). Dietary protein levels were decreased over the growth period to meet the optimal growth requirements of pigs. Piglets were penned individually in metabolic cages with woven wire flooring and were given ad libitum access to feed (at 08.00, 14.00 and 20.00 hours) and water. The feed intake of piglets was calculated weekly, and the body weight of piglets was recorded monthly.
C, control diet (without lard supplementation); HF, high-fat diet (supplemented with 10 % lard).
* Provided per kg of diet: vitamin A, 1·90 mg; vitamin D3, 0·06 mg; vitamin E, 24 mg; vitamin K3, 3 mg; vitamin B1, 1·5 mg; vitamin B2, 6 mg; vitamin B6, 3 mg; vitamin B12, 0·024 mg; nicotinic acid, 20 mg; pantothenic acid, 15 mg; biotin, 0·15 mg; folic acid, 1·2 mg; Fe (FeSO4.7H2O), 120 mg; Cu (CuSO4.5H2O), 17 mg; Zn (ZnSO4.7H2O), 120 mg; Mn (MnSO4.H2O), 25 mg; Se (Na2SeO3.5H2O), 0·2 mg; I (KI), 0·3 mg.
Sample collection and meat quality analysis
All the piglets were slaughtered when their body weight was approximately 110 kg (NBW piglets on day 154 and LBW piglets on day 178). Piglets were killed by electrical stunning and exsanguination after an overnight fast. Immediately after slaughter, the whole semitendinosus muscle (SM) was collected from the right side of the carcass. SM samples collected for proteomic analysis were frozen in liquid N2 and stored at − 80°C. The L* (lightness), a* (redness) and b* (yellowness) values of the SM were determined using Minolta Chromameter CR-300 (Minolta, Inc.) according to pork colour standards (Japanese Color Standards). Drip loss in the SM was determined according to the difference in sample weight after suspension at 4°C for 24 h. The Warner–Bratzler shear force was used to assess the tenderness of the skeletal muscle as described previously( Reference Tang, Yu and Zhang 13 ). The cooking loss of SM was determined using a water-bath at 70°C after vacuum packaging. Furthermore, 3 g SM sample was homogenised in 5 ml of pure water, and the pH values were measured using a pH metre (PHS-3D; Shanghai REX Instrument Factory) at 45 min and 24 h post-mortem. Intramuscular fat (IMF) content in the SM was determined using the chloroform–methanol extraction method( Reference Folch, Lees and Sloane Stanley 14 ).
Two-dimensional difference gel electrophoresis
Skeletal muscle samples (approximately 0·2 g) were ground into powder using a precooled mortar and pestle in liquid N2. The samples were then homogenised in a lysis buffer (7 m-urea, 2 m-thiourea and 4 % 3-((3-cholamidopropyl)dimethylammonio)propanesulphonic acid (CHAPS) and 50 mm-dithiothreitol containing 1 % protease inhibitors) using a glass homogeniser. The fractions were fully suspended, sonicated on ice and centrifuged at 40 000 g for 15 min. The supernatants were collected, and protein concentrations were measured using the Bradford method (Bio-Rad Laboratories, Inc.)( Reference Bradford 15 ). Protein extracts were stored at − 80°C until use.
The pH of the protein extracts was adjusted to 8·5 by addition of 50 mm-NaOH. Pooled samples were used to reduce the costs of the experiment. For pooling, equal amounts of total protein from three different piglets were combined randomly within the groups. Because nine piglets were selected from each treatment group, three biological replicates per treatment group were used in the proteomic analysis. Equal amounts of proteins from the twelve samples (n 3) were pooled together to produce the internal standards. The skeletal muscle samples were labelled with Cy3 or Cy5, whereas the internal standards were labelled with Cy2 using 400 pmol of fluorochrome/50 μg of protein. Cy2, Cy3 and Cy5 were purchased from GE Healthcare. Labelling was carried out for 30 min on ice in the dark. From each treatment, 50 mg Cy3- and Cy5-labelled samples were combined before mixing with a Cy2-labelled internal standard, and an equal volume of 2 × sample buffer (7 m-urea, 2 m-thiourea, 4 % CHAPS, 1 % Pharmalyte (pH 3–10) and 20 mg/ml dithiothreitol) was added. The rehydration buffer (7 m-urea, 2 m-thiourea, 4 % CHAPS, 0·5 % Pharmalyte and 10 mg/ml dithiothreitol) was added to the samples, and the total volume was made up to 410 μl.
The samples were actively rehydrated into 24 cm 3–10 NL immobilised pH gradient strips for 12 h at 17°C using an IPGphor (GE Healthcare). Isoelectric focusing was conducted for a total of 80 000 Vh (ramp to 250 V in 30 min, hold at 1000 V for 1 h, ramp to 10 000 V in 5 h, hold at 10 000 for 60 000 Vh). The immobilised pH gradient strips were equilibrated in an equilibration buffer (6 m-urea, 2 % SDS, 50 mm-Tris (pH 8·8) and 30 % glycerol) containing 0·5 % dithiothreitol for 15 min followed by equilibration in 4·5 % iodoacetamide in the equilibration buffer for 15 min incubation at room temperature. The immobilised pH gradient strips were placed on the top of 12 % homogeneous polyacrylamide gels. The second-dimension SDS-PAGE was carried out using Ettan DALT Six electrophoresis units (GE Healthcare).
Image analysis
After SDS-PAGE, the gels were scanned using Typhoon 9410 scanner (GE Healthcare) with Ettan DALT Gel Alignment Guides at excitation/emission wavelengths specific for Cy2 (488 nm/520 nm), Cy3 (532 nm/580 nm) and Cy5 (633 nm/670 nm). The range of the intensity was adjusted within 60 000–90 000 pixel value to ensure a maximum volume for each image. The differential in-gel electrophoresis images were analysed using the DeCyder version 6.5 software (GE Healthcare) according to the manufacturer's protocol. All thirty-six protein spot maps from the twelve gels were simultaneously matched and confirmed manually. The expression of proteins was analysed using two-way ANOVA. Protein spots that were differentially expressed between the groups (|ratio| ≥ 1·2 and P≤ 0·05) were marked and selected for identification.
Protein identification and database search
Protein spots of interest were obtained with preparative gels. Electrophoresis was carried out as described above, except that 500–1000 μg of protein were loaded in the immobilised pH gradient strips and the gels were stained with Coomassie Brilliant Blue. The selected protein spots were manually obtained and destained with 25 mm-ammonium bicarbonate and 50 % acetonitrile for 1 h. After drying the gels by centrifugal lyophilisation, the protein samples were digested with 0·01 μg/μl trypsin (Promega) in 25 mm-ammonium bicarbonate at 37°C for 15 h. The resulting peptides were subjected to sequential extraction with 5 % trifluoroacetic acid at 40°C for 1 h and with 2·5 % trifluoroacetic acid and 50 % acetonitrile at 30°C for 1 h. The extract samples were dried by centrifugal lyophilisation.
Peptide mixtures were mixed with a matrix solution (4-hydroxy-α-cyanocinnamic acid in 30 % acetonitrile and 0·1 % trifluoroacetic acid). Matrix-assisted laser desorption ionisation–time-of-flight/time-of-flight MS (MALDI–TOF/TOF) analysis was carried out on the 4800 Proteomics Analyzer (Applied Biosystems). After MS, parent mass peaks with a mass range of 600–4000 Da and a minimum signal:noise ratio of 15 were selected for MS/MS analysis. Peptide mass fingerprint and MS/MS data searches were carried out for protein identification using the GPS Explorer™ software (Applied Biosystems) with MASCOT search program (Matrix Science) and the search taxonomy of Mammalia against the NCBI database. The following parameters were included for the database search: trypsin as the cleaving enzyme; a maximum of one missed trypsin cleavage; both peptide and MS/MS tolerance of 0·2 Da; monoisotopic as mass value; oxidation and carbamidomethyl as variable modifications. Confident identification was based on the protein score. A protein score >67 was considered to be statistically significant (P< 0·05).
Statistical analysis
Statistical analysis was carried out using the general linear model procedure of SAS (SAS Institute). The model included the effects of birth weight (NBW or LBW), postnatal diet (C or HF) and the interactions between them. The effect of litter was included as a random factor in this model. Growth performance and meat quality trait data are presented as means with their standard errors. Differences were considered significant at P< 0·05.
Results
Growth performance
The birth weight and weaning weight of LBW piglets were lower than those of their NBW littermates (P< 0·01; Table 2). From weaning to slaughter at 110 kg body weight, the average daily feed intake and average daily gain were lower in LBW piglets than in NBW piglets (P< 0·01), while the feed:gain ratio was higher in LBW piglets than in NBW piglets (P< 0·05; Table 2). HF diet feeding increased the average daily gain and reduced the average daily feed intake and the feed:gain ratio (P< 0·01; Table 2).
C, control diet (without lard supplementation); NBW, normal birth weight; LBW, low birth weight; I, interaction.
Meat quality traits
The effects of birth weight and HF diet on meat quality traits are summarised in Table 3. The pH45 min, drip loss and lightness of SM were lower in LBW piglets than in NBW piglets (P< 0·01). The IMF content, redness, yellowness and Warner–Bratzler shear force of SM were higher in LBW piglets than in NBW piglets (P< 0·01). The IMF content, lightness and yellowness of SM were higher in piglets fed the HF diet than in those fed the C diet (P< 0·01). The IMF and cooking loss were affected by the interaction of birth weight and postnatal diet (P< 0·05).
NBW, normal birth weight; LBW, low birth weight; C, control diet (without lard supplementation); I, interaction; IMF, intramuscular fat; WBSF, Warner–Bratzler shear force.
Skeletal muscle proteome
In the present study, about 2000 spots were automatically detected on the gels. A total of forty-six proteins were differentially expressed in the skeletal muscle of LBW and NBW piglets fed the C diet or the HF diet postnatally (Table 4). The positions of these protein spots in the gel image are shown in Fig. 1. According to their biological function, these differentially expressed proteins were classified into seven groups: (1) cell structure and motility; (2) glucose and energy metabolism; (3) lipid metabolism; (4) stress response; (5) protein and amino acid metabolism; (6) cell redox homeostasis; (7) cellular apoptosis.
C, control diet (without lard supplemented); NBW, normal birth weight; LBW, low birth weight; I, interaction.
* Data correspond to n 3 gels in each treatment group.
† Spot numbers refer to protein spots that correspond to the labels in Fig. 1.
‡ The protein score obtained by MASCOT program, with a score >67 being considered to be statistically significant (P< 0·05).
Cell structure and motility
A total of twenty-six protein spots were related to cell structure and motility. These were myosin heavy chain (spots 58, 122, 320, 415, 609, 614, 799, 813, 841, 858 and 1278), myosin-binding protein C (spot 69), intermediate filament desmin (spot 672), α-actin (spot 745), troponin T fast skeletal muscle type (spots 817 and 849), troponin T1 slow skeletal muscle type (spots 1027 and 1030), troponin I (spot 1378), capping protein (spot 832), tropomyosin (spots 932, 1024 and 1148) and fast skeletal myosin alkali light chain (spots 1314, 1661 and 1680). The abundance of myosin heavy chain (P< 0·05), myosin-binding protein C (P< 0·05), intermediate filament desmin (P< 0·01), α-actin (P< 0·05) and troponin T1 slow skeletal muscle type (P< 0·05) was lower in the skeletal muscle of LBW piglets in that of NBW piglets. By contrast, the expression of troponin T fast skeletal muscle type (P< 0·05), troponin I (P< 0·05) and capping protein (P< 0·05) was up-regulated in LBW piglets. HF diet feeding resulted in a lower expression of myosin heavy chain (P< 0·05), troponin T fast skeletal muscle type (P< 0·05) and tropomyosin (P< 0·05) and a higher expression of fast skeletal myosin alkali light chain 1 (P< 0·05) compared with C diet feeding. Furthermore, the expression of myosin heavy chain, capping protein and fast skeletal myosin alkali light chain 1 was affected by the interaction of birth weight and HF diet (P< 0·05).
Glucose and energy metabolism
Differentially expressed proteins involved in glucose and energy metabolism were pyruvate kinase (spots 400 and 436), phosphoglucomutase 1 (spot 405), enolase (spot 617), phosphoglycerate mutase (spot 1285), triosephosphate isomerase (spot 1297) and adenylate kinase 1 (spot 1470). The expression of pyruvate kinase (P< 0·05), phosphoglucomutase 1 (P< 0·05) and phosphoglycerate mutase (P< 0·01) was lower in LBW piglets than in NBW piglets. The abundance of enolase was lower and those of phosphoglucomutase 1 and adenylate kinase 1 were higher in piglets fed the HF diet than in those fed the C diet (P< 0·05). In addition, the expression of pyruvate kinase (P< 0·05), enolase (P< 0·05), phosphoglycerate mutase (P< 0·01) and triosephosphate isomerase (P< 0·05) was affected by the interaction of birth weight and postnatal HF diet.
Lipid metabolism
LBW increased the abundance of proteins involved in lipid metabolism (P< 0·05). These proteins were apo B mRNA editing enzyme (spot 1142), apo A-I (spot 1390) and fatty acid-binding protein 3 (spot 1708).
Stress response
The expression of heat shock protein (HSP) with different molecular weights related to stress response was affected by birth weight, postnatal diet and the interaction between them. The levels of HSP B6 (spot 1523) tended (P< 0·1) to be higher in LBW piglets than in NBW piglets, and HF diet feeding resulted in a higher expression of HSP B6 compared with C diet feeding (P< 0·05). However, the levels of HSP 70 kDa (spot 278) and HSP 27 kDa (spot 1292) were influenced by the interaction of birth weight and HF diet (P< 0·05).
Protein and amino acid metabolism
A central role is played by 26S proteasome non-ATPase regulatory subunit 8 (spot 487) in protein degradation. The expression of this protein was influenced by birth weight (P< 0·05) and the interaction of birth weight and diet (P< 0·01). The abundance of amino acid metabolism-related leucine aminopeptidase 3 (spot 652) was affected by the interaction of birth weight and postnatal diet (P< 0·05).
Cell redox homeostasis
Differentially expressed proteins related to cell redox homeostasis were l-lactate dehydrogenase A (spot 1091) and carbonic anhydrase III (spot 1267). The abundance of l-lactate dehydrogenase A was increased, while that of carbonic anhydrase III in LBW piglets was decreased compared with that in NBW piglets (P< 0·05).
Cellular apoptosis
There were three protein spots related to cellular apoptosis. The expression of calreticulin (spot 243), excision repair protein (spot 544) and calmodulin (spot 1640) in LBW piglets was increased compared with that in NBW piglets and was also increased by HF diet feeding (P< 0·05). Furthermore, the abundance of excision repair protein was affected by the interaction of birth weight and postnatal diet (P< 0·05).
Discussion
The results of the present study demonstrate that LBW impairs postnatal growth rates and affects meat quality traits( Reference Nissen and Oksbjerg 16 – Reference Gondret, Lefaucheur and Juin 18 ). To test the hypothesis that birth weight alters the response of pigs to postnatal nutrition, we fed LBW and NBW piglets either a C diet or a HF diet from weaning to slaughter at 110 kg body weight. The data revealed that LBW piglets had a greater ability to deposit intramuscular lipids than NBW piglets when fed a HF diet. Compared with a previous study that reported that birth weight induced marked changes in skeletal muscle proteome in the newborn piglets( Reference Wang, Chen and Li 7 ), novel findings of the present study suggest that these effects are extended to the period when pigs weigh 110 kg. However, the effects of LBW on skeletal muscle proteome in newborn piglets were significantly different from those in piglets with a body weight of 110 kg.
Insufficient intake of nutrients in the fetus is considered to be the main reason for LBW and is commonly associated with low growth rates during postnatal period because of reduced feed intake( Reference Wu, Bazer and Wallace 5 ). In the present study, LBW piglets exhibited marked decreases in feed intake and daily gain, suggesting that their appetite was impaired by fetal undernutrition experience, which is consistent with the findings of previous studies( Reference Nissen and Oksbjerg 16 – Reference Gondret, Lefaucheur and Juin 18 ). Increased lipid contents and greater adipocyte diameters in adipose tissues and skeletal muscle were observed in LBW pigs compared with NBW pigs( Reference Powell and Aberle 19 , Reference Jones and Friedman 20 ). A higher proportion of small adipocytes in LBW pigs is suggestive of prolonged adipocyte hyperplasia( Reference Jones and Friedman 20 ). Consistent with the results of previous studies( Reference Liu, Chen and Yao 10 , Reference Gondret, Lefaucheur and Juin 18 ), IMF contents were increased in LBW piglets, especially when fed the HF diet. This is in agreement with fetal programming research suggesting that fetal undernutrition is related to increased fat deposition( Reference Gluckman, Hanson and Cooper 3 ). In the present study, we found the shear force of SM to be greater in LBW piglets than in NBW piglets. Indeed, the diameter of myofibres plays a central role in meat tenderness( Reference Gondret, Lefaucheur and Louveau 21 ). Thus, differences in muscle tenderness between LBW and NBW piglets were expected because myofibres with an enlarged cross-sectional area were observed in LBW piglets compared with their heavier littermates( Reference Gondret, Lefaucheur and Louveau 21 ). The pH45 min and drip loss in the SM were lower in LBW piglets than in NBW piglets, which is consistent with the findings of a previous study( Reference Gondret, Lefaucheur and Juin 18 ).
Proteomics technologies facilitate the analysis of thousands of proteins, thereby providing powerful tools for nutritional and physiological research in pigs( Reference Sarr, Louveau and Le Huërou-Luron 22 – Reference Liu, Yao and Yu 25 ). In the present study, two-dimensional differential in-gel electrophoresis and matrix-assisted laser desorption ionisation–time-of-flight/time-of-flight MS (MALDI–TOF/TOF) analysis were used to investigate the variability in the response of LBW and NBW pigs to postnatal HF diet-induced alterations in skeletal muscle proteome. Using proteomic technology, we identified forty-six differentially expressed proteins that were affected in the skeletal muscle of piglets with different birth weights fed a C diet or a HF diet. The proteins that were affected were found to be involved in cell structure and motility, glucose and energy metabolism, lipid metabolism, cellular apoptosis and stress response.
Myosin heavy chains, actin, connectin and nebulin account for 80 % of the total protein in the skeletal muscle( Reference Sanger, Chowrashi and Shaner 26 ). Therefore, post-mortem degradation of these proteins is important for the meat tenderisation process. Using proteomic technology, twenty-seven differentially expressed proteins related to meat quality were identified in the skeletal muscle of pigs with different shear force( Reference Lametsch, Karlsson and Rosenvold 27 ). A negative correlation between myosin heavy chain and actin expression and shear force and a positive correlation between myosin light chain expression and shear force were established after the analysis of the relationship between protein abundance and shear force of the SM. In the present study, a higher shear force and a lower expression of myosin heavy chains and actin were observed in the SM of LBW piglets. This is consistent with the results reported by Lametsch et al. ( Reference Lametsch, Karlsson and Rosenvold 27 ), who suggested that decreased degradation rates of myosin heavy chains delay meat tenderisation process and then increase shear force( Reference Lametsch, Karlsson and Rosenvold 27 ). Troponin controls the Ca2+-dependent muscle constriction by binding to tropomyosin. The relationship between post-mortem troponin T degradation and meat tenderisation has been established in previous studies( Reference Ouali 28 , Reference Hopkins and Thompson 29 ). The expression of troponin T1 slow skeletal muscle type was negatively correlated with drip loss( Reference Hwang, Park and Kim 30 ). In the present study, together with reduced drip loss in the SM, a decreased abundance of troponin T1 slow skeletal muscle type and an increased expression of troponin T fast skeletal muscle type were detected in LBW piglets. It is worth noting that the effects of birth weight on troponin T varied in different types of muscle, reflected by the increased abundance of troponin T fast skeletal muscle type and reduced expression of troponin T1 slow skeletal muscle type in LBW piglets compared with NBW littermates. Our finding that the birth weight of pigs had different effects on the expression of the same protein in different muscle types has not been reported in previous studies. The physiological functions vary between different muscle types and may provide a possible explanation for this observation. However, further studies are needed to test our hypothesised mechanism. Although the shear force of the muscle was affected by capping protein( Reference Hwang, Park and Kim 30 ), the expression of this protein was not affected by birth weight, suggesting that the abundance of capping protein has negligible influence on meat tenderness.
Fatty acid-binding protein is required for the transportation of fatty acids into membranes or mitochondria and for the oxidation of fatty acids or the formation of TAG and phospholipids( Reference Gerbens, Jansen and van Erp 31 ). Indeed, the positive correlation between the levels of fatty acid-binding protein and the number of adipocytes and fat content in pork has been found in a previous study( Reference Damon, Louveau and Lefaucheur 32 ). In general, pigs with a higher IMF content have a greater expression of fatty acid-binding protein( Reference Laville, Sayd and Terlouw 33 ). In agreement with those of previous studies, the present results demonstrate that LBW increases intramuscular lipid content and fatty acid-binding protein expression. As an important component of HDL, apo is derived primarily from the liver and responsible for the transportation of lipids and stabilisation of lipoprotein structure( Reference Mezdour, Larigauderie and Castro 34 ). In the present study, LBW piglets had higher levels of apo A than NBW piglets, which suggests that increased amounts of lipids are transported into the skeletal muscle for IMF deposition. In addition, reduced expression of apo A in the jejunum of LBW piglets on days 1, 7 and 21 of life was observed using proteomic analysis, which may be caused by insufficient milk consumption and contribute to impaired digestion, absorption and transport( Reference Wang, Wu and Lin 8 ).
Epidemiological studies have shown that the abnormal energy metabolism of LBW offspring contributes to the increasing risks of developing the metabolic syndrome( Reference Bruce and Hanson 1 ). There were significant differences in the abundance of proteins related to energy metabolism in the skeletal muscle and intestine between the LBW and NBW pigs( Reference Wang, Chen and Li 7 , Reference Wang, Wu and Lin 8 ). Pyruvate kinase plays a vital role in the utilisation of glucose for the production of acetyl CoA, which is important for ATP synthesis( Reference Reynard, Hass and Jacobsen 35 ). In the present study, LBW piglets had lower levels of pyruvate kinase in the skeletal muscle than NBW piglets, which suggests that the abnormal growth experience of the fetus in utero induces long-term effects on the glycolytic process. Furthermore, the expression of energy metabolism-related phosphoglucomutase and phosphoglycerate mutase was also decreased in LBW piglets. Adenylate kinase catalyses ATP and AMP to form ADP( Reference Walker, Saraste and Runswick 36 ). Enolase converts 2-phosphorylglyceric acid into phosphoenolpyruvic acid( Reference Cooper, Esch and Taylor 37 ). Triosephosphate isomerase is required for the synthesis of 3-phosphoglyceraldehyde( Reference Rieder and Rose 38 ), which is an intermediate substrate in glycolysis. Moreover, HF diet feeding increased the expression of triosephosphate isomerase in NBW piglets, whereas the levels of this enzyme in LBW piglets fed the HF diet were reduced compared with those in LBW piglets fed the C diet. The expression responses of energy metabolism-related enzymes to HF diet feeding varied between LBW and NBW piglets. Our observations revealed that NBW piglets adapted to the HF diet by increasing their energy metabolism, whereas the levels of energy metabolism-related enzymes were reduced in LBW piglets fed the HF diet, thus making LBW piglets more susceptible to the effects of HF diet feeding than NBW piglets. This is consistent with the concepts of fetal programming, which suggest that LBW impairs the metabolism of energy in the offspring, especially when fed a high-energy diet( Reference Rueda-Clausen, Dolinsky and Morton 12 ).
The enzymatic activity of l-lactate dehydrogenase affects post-mortem lactic acid production. Increased lactic acid production is often related to a rapid decline in pH( Reference Nissen and Oksbjerg 16 ). In the present study, LBW piglets had a greater abundance of l-lactate dehydrogenase than NBW piglets, which could contribute to lower pH45 min in the muscle of LBW piglets compared with NBW piglets. Calreticulin is a Ca2+-binding protein that is responsible for protein folding and transport( Reference Coppolino, Woodside and Demaurex 39 ). Calmodulin is a Ca2+-regulated enzyme that participates in inflammation responses, cell metabolism and muscle constriction( Reference Cheung 40 ). Consistent with a previous study showing that LBW increases the expression of calreticulin in the jejunum of pigs( Reference Wang, Wu and Lin 8 ), greater abundances of calreticulin and calmodulin were observed in the skeletal muscle of LBW piglets than in that of NBW piglets in the present study. Taken together, we suggest that birth weight has persistent effects on cellular concentrations of Ca2+, which is a second messenger that affects the signal transduction process, thereby regulating muscle constriction( Reference Coppolino, Woodside and Demaurex 39 ).
The biological functions of HSP involve the maintenance of cell homeostasis, repairing of damage, stabilisation of unfolded proteins, remodelling of denatured proteins and avoidance of protein aggregation( Reference Kato, Ito and Inaquma 41 ). The expression levels of HSP are stimulated by oxidative stress. In the present study, NBW piglets fed the HF diet and LBW piglets exhibited a greater expression of HSP B6 than NBW piglets fed the C diet. Our observation may be explained by the fact that HF diets and LBW induced oxidative stress in piglets, thus increasing the need for more HSP for the maintenance of body homeostasis. Reduced expression of HSP is beneficial for improving meat tenderness and favour( Reference Bernard, Cassar-Malek and Le Cunff 42 ). There was a positive correlation between post-mortem pH values and HSP expression( Reference Pulford, Fraga Vazquez and Frost 43 ). The tenderness and post-mortem pH of the muscle were influenced by birth weight, and the expression of HSP was affected by the HF diet and the interaction of birth weight and HF diet in the present study. Excision repair protein is responsible for DNA repair( Reference Sekelsky, McKim and Chin 44 ). Carbonic anhydrase plays an important role in acid–base homeostasis( Reference Lindskog 45 ). Leucine aminopeptidase and 26S proteasome non-ATPase regulatory subunit 8 are related to protein degradation( Reference Nachlas, Crawford and Seligman 46 , Reference Ferrell, Wilkinson and Dubiel 47 ). The expression responses of these proteins suggest that the processes of damage repair, acid–base homeostasis and protein metabolism were affected by birth weight, HF diet and the interaction between them.
In summary, the present study demonstrated that growth performance and meat quality are affected by birth weight. LBW pigs had a greater ability to deposit intramuscular lipids than NBW pigs when fed a HF diet. Proteomic analysis revealed that the birth weight of pigs regulated the expression levels of proteins responsible for meat tenderness, fat deposition and energy metabolism. Birth weight altered the expression responses of proteins involved in energy metabolism and stress to HF diet feeding, which strongly supports the fetal programming idea that fetal development in utero alters the response of offspring to postnatal nutrition-induced changes.
Acknowledgements
The present study was supported by the national 973 programme of China (2012CB124701) and the earmarked fund for China Agriculture Research System (CARS-36). The national 973 programme of China and the earmarked fund for China Agriculture Research System had no role in the design and analysis of the study or in the writing of this article.
The authors' contributions are as follows: J. L., J. H., J. Y., X. M., P. Z., Z. H., B. Y. and D. C. participated in the experimental design, conducted the research and analysed the data; J. L. and D. C. were responsible for writing the manuscript.
None of the authors has any conflicts of interest to declare.