Abstract
Protein synthesis (PS) increases after a meal in neonates, but the time course of the changes in PS in different tissues after a meal is unknown. We aimed to evaluate the changes in tissue PS, mammalian target of rapamycin complex 1 (mTORC1) activation, and proportion of ribosomal protein (rp) mRNAs in polysomes over 4 h following a bolus meal in neonatal pigs (n = 6/group; 5- to 7-d-old). The results show a more sustained increase in PS in glycolytic compared to mixed fiber type muscles, and no changes in oxidative muscles. PS increased in liver, jejunum, and pancreas, but not in kidney and heart. Feeding did not affect AMP-activated protein kinase or RAS-related GTP binding B activation. Phosphorylation of tuberous sclerosis complex 2, proline-rich Akt substrate of 40 kDa, mTOR, eukaryotic initiation factor 4E binding protein, and rp S6 kinase 1 increased in all tissues after feeding. The proportion of mRNAs encoding rp S4 and S8 in liver polysomes increased within 30 min post-feeding. These results suggest that feeding stimulates mTORC1 signaling in muscle and viscera, but mTORC1 activation alone is not sufficient to stimulate PS in all tissues.
INTRODUCTION
The neonatal period is characterized by rapid growth and deposition of body protein (1, 2). Despite these features, 10% of newborn babies in the United States are of low birth weight (3, 4). These infants have a higher incidence of subnormal postnatal growth and neurodevelopmental problems (5,6). Elucidating the mechanisms that regulate protein accretion in infants may facilitate the improvement of the nutritional management and overall outcome of this population.
Using the neonatal pig as a model of the human infant, we have shown that feeding stimulates protein synthesis (PS) in skeletal muscle (7–9) and this effect is modulated independently by the rise in insulin and amino acids (AA) (10, 11). This postprandial increase in insulin and AA enhances PS in muscles that contain primarily fast-twitch glycolytic fibers due to activation of mammalian target of rapamycin complex 1 (mTORC1) signaling proteins that activate the mRNA binding step in translation initiation (12–14). mTORC1 activation involves the phosphorylation of proline-rich Akt substrate of 40 kDa (PRAS40), resulting in 70-kDa ribosomal protein (rp) S6 kinase (S6K1) and eukaryotic initiation factor (eIF) 4E binding protein-1 (4EBP1) activation (15). The binding between Ras related GTP binding protein (Rag) A-D and mTORC1 appears important for mTORC1 activation (16). An increase in AMP levels and subsequent activation of AMP-activated kinase (AMPK) leads to activation of tuberous sclerosis complex 2 (TSC2), and inhibition of mTOR (17). It has yet to be determined if muscles with different fiber types respond similarly in the neonate.
Feeding also stimulates PS in visceral tissues of the neonate, including the liver (7). We have shown that this response to feeding is mediated by the rise in AA, but not insulin, after a meal (10,18). PS stimulation in the liver involves an increase in translation initiation but the effect in other visceral tissues of the neonate is not known.
Most studies that have investigated the effect of feeding have done so at one time-point and little is known about the temporal changes in PS and mTORC1 signaling in various tissues after a meal. Recently we demonstrated that feeding stimulates PS rapidly in fast-twitch glycolytic muscle of the neonate but returns to baseline by 4 h after a meal (19). This response is mirrored by the activation of the mTORC1 signaling pathway. The present study was performed to compare the time course of the changes in PS rates and mTORC1 activation in skeletal muscles of different fiber types and in visceral tissues after a meal.
MATERIALS AND METHODS
Animals
Sows and piglets were housed and managed as previously described (20). Piglets remained with the sow after birth and were not given supplemental creep feed. Piglets were studied at 5 to 7 d of age (1.77 ± 0.07 kg). Three d prior to infusion, piglets underwent surgery for jugular vein and carotid artery catheter placement (7). Piglets were returned to their sows until the day of study. The protocol (19) was approved by the Animal Care and Use Committee of Baylor College of Medicine and was conducted in accordance with the National Research Council’s Guide for the Care and Use of Laboratory Animals.
Treatments and infusions
Overnight fasted piglets were randomly assigned to one of six treatment groups (n = 6 • treatment−1): 1) food deprived, 2) fed 30 min, 3) fed 60 min, 4) fed 90 min, 5) fed 120 min, and 6) fed 240 min as previously described (19). Briefly, piglets were killed after overnight fasting (0 min) or were assigned to a fed group and enterally fed with a bolus meal delivered over a 15 min period (40 ml • kg body wt−1) of Soweena Litter Life replacement for sow’s milk (Merricks INC, Middleton, WI). Fed pigs were killed at 30, 60, 90, 120, or 240 min after the meal. Blood samples were collected every 15 min and immediately analyzed for branched-chain AA concentration (BCAA) by a rapid enzymatic kinetic assay (21) and glucose using a YSI 2300 STAT Plus (Yellow Spring Instruments, Yellow Spring, OH). Plasma samples were collected and frozen every 15 min for the first 2 h and every 30 min for the remaining 2 h for insulin analysis by a porcine insulin radioimmunoassay kit (Linco, St. Louis, MO) and AA by HPLC (PICO-TAG reverse-phase column, Waters, Milford, MA) (8).
Tissue PS in vivo
The fractional rate of PS was measured with a flooding dose of L-[4-3H] phenylalanine (7). For all groups, except the 30 min fed group, piglets received L-[4-3H] phenylalanine (1.5 mmol • kg body wt−1, 0.5 mCi • kg body wt−1, American Radiolabeled Chemicals Inc., St. Louis, MO) injected 30 min prior to the end of the infusion. For piglets in the 30 min fed group, L-[4-3H] phenylalanine (1.5 mmol • kg body wt−1, 1.0 mCi • kg body wt−1) was injected 15 min prior infusion end. Piglets were killed and samples from the gastrocnemius, masseter, soleus, left heart, liver, pancreas, jejunum, and kidney were obtained, immediately frozen in liquid nitrogen, and stored at −70°C until analyzed as previously described (7).
Protein immunoblot analysis
Equal amounts of protein from tissue homogenates (100–150 mg tissue in 700–1050 ml homogenizing buffer) were separated by SDS polyacrylamide gel electrophoresis (PAGE). For each assay, all samples were run at the same time on triple-wide gels (C.B.S. Scientific, Del Mar, CA) to reduce inter-assay variation. Proteins were electrophoretically transferred to polyvinylidene difluoride transfer membranes (Pall Corporation, Pensacola, FL), which were blocked and then incubated with appropriate primary antibodies in dilution 1:1000: AMPK (total and Thr172, Cell Signaling Technology Inc., Danvers, MA); TSC2 (total, SantaCruz Biotechnology Inc., Santa Cruz, CA), and Thr1462 (Cell Signaling Technology Inc.); RagB (Abcam Inc., Cambridge, MA); mTOR (total and Ser2448, Cell Signaling Technology Inc.); PRAS40 (total and Thr246, Cell Signaling Technology Inc.); 4EBP1 (total, Bethyl Laboratories Inc., Montgomery, TX) and Thr70 (Cell Signaling Technology Inc.); and S6K1 (total and Thr398, Cell Signaling Technology Inc.), and after washing were exposed to an appropriate secondary antibody (1:5000–10000 dilution) (Bio-Rad, Hercules, CA) as previously described (22). Blots were visualized, and analyzed using a ChemiDoc-It Imaging System (UVP, Upland, CA). Phosphorylation values were normalized by protein abundance in the samples.
Analysis of protein-protein interaction
To determine the association between RagB and mTOR, tissue samples were homogenized in 3[(3-Cholamidopropyl) dimethylammonio]-propanesulfonic acid (CHAPS) buffer and immunoprecipitated as previously described (22).
Reverse transcription and real-time quantitative PCR
The proportion of rp S4 (rpS4), S8 (rpS8), and ornithine decarboxylase (ODC) mRNAs in the polysomal fraction of sucrose density gradients was determined in the liver. Following sucrose density centrifugation, RNA was isolated from the subpolysomal and polysomal fractions of the gradient via the Trizol method and an equal quantity (1 μg RNA) from each fraction was reverse transcribed to cDNA using the SuperScript First-Strand Synthesis System for RT-PCR (Invitrogen, Carlsbad, CA). The resulting cDNA was used to quantify the relative abundance of rp in the polysomal fraction using glyceraldehyde 3-phosphate dehydrogenase (GAPDH) for normalization. Assays were performed using QuantiTect SYBR Green real time PCR master mix (Qiagen, Valencia, CA) and reactions performed and analyzed on an ABI 7900HT Fast Real-Time PCR System (Applied Biosystems, Carlsbad, CA). For primer sets used for qRT-PCR see Table 1. qRT-PCR results were quantitated using a relative standard curve generated for each primer set via four-fold serial dilutions (1:1–1:256) of one of the cDNA samples. A 1:16 dilution of cDNA was used for all other samples. The relative expression values were obtained via SDS 2.2.2 software (Applied Biosystems).
Table 1.
PCR primers | |
---|---|
GAPDH forward | 5′-ACTCACTCTTCTACCTTTGATGCT-3′ |
GAPDH reverse | 5′-TGTTGCTGTAGCCAAATTCA-3′ |
nODC forward | 5′-CACCTGTTCACTGCGAGTTT-3′ |
ODC reverse | 5′-TGTGACCCATCTCCTTGTCT-3′ |
rpS4 forward | 5′-GTACCATCCGCTACCCTGAT-3′ |
rpS4 reverse | 5′-CAGGTTAGCACCTCCAGTCA-3′ |
rpS8 forward | 5′-CTAGAGGAGCAGTTCCAGCA-′3 |
Calculations and statistics
The fractional rate of PS (Ks, percentage of protein mass synthesized in a day) was calculated as previously described (23). Statistical analysis was carried out in SPSS (Version 17.0). A protected Post Hoc LSD t-Test was used to determine statistical differences between groups if, after performing a one-way analysis of variance, we found a statistical significance (P < 0.05). Analysis of glucose and insulin across time was carried out with SPSS General Linear Model Repeated Measures Test for within-subject effects. Probability values of < 0.05 were considered significant and data are presented as means ± SEM.
RESULTS
Substrates and hormones
Circulating hormone and substrate concentrations during a 4 h period following meal ingestion were reported previously and are presented here for reference (19). Glucose increased two-fold above fasting levels after a bolus meal and peaked around 60 min post-feeding (Table 2; P < 0.001). By 240 min post-prandially, glucose levels decreased but not to baseline (P = 0.016). Insulin concentrations increased post-feeding, reached maximum levels by 60 min (Table 2; P < 0.001), and declined but not to baseline after 240 min (P = 0.004). BCAA levels increased about 2-fold above baseline values 30 min after a meal (Table 2; P < 0.001), and returned to baseline by 240 min. Nonessential AA concentrations did not change significantly but essential AA (EAA) and total AA (TAA) levels mirrored those of the BCAA, increasing at 30 min (P < 0.05) and remaining elevated through at least 120 min post-feeding (P < 0.05).
Table 2.
Time (min) | |||||||
---|---|---|---|---|---|---|---|
0 | 30 | 60 | 90 | 120 | 240 | P value | |
EAA (nmol/mL) | 1010 ± 5.2* | 1404 ± 6.8** | 1422 ± 7.8** | 1357 ± 8.1** | 1437 ± 12.8** | 1012 ± 11.5* | <0.05 |
NEAA (nmol/mL) | 2028 ± 8.1 | 2124 ± 11.1 | 2234 ± 14 | 2266 ± 16.1 | 2179 ± 27.1 | 1815 ± 18.0 | NS |
BCAA (nmol/mL) | 451 ± 3.5* | 672 ± 2.1** | 682 ± 3.2** | 630 ± 3.0** | 702 ± 3.5** | 528 ± 2.6* | <0.001 |
TAA (nmol/mL) | 3038 ± 6.8* | 3528 ± 9.2** | 3657 ± 11.2** | 3623 ± 12.5** | 3616 ± 20.6** | 2827 ± 15.3* | <0.05 |
Insulin (μU/mL) | 8.3 ± 0.6* | 86.4 ± 7.1** | 103.7 ± 8.0† | 82.5 ± 9.9** | 57.4 ± 6.5§ | 16.6 ± 2.8¶ | <0.001 |
Glucose (mg/dL) | 81 ± 2.1* | 168 ± 7.0** | 206 ± 10.7† | 186 ± 12.1** | 175 ± 10.5** | 94 ± 7.2** | <0.001 |
Values are means ± SEM, n = 6–36. Means in a row with superscripts without a common symbol differ, P < 0.05. Phenylalanine at 240 min is not included in the calculation of EAA and TAA as the flooding dose of [3H] phenylalanine was administered at 210 min and artificially increased levels of EAA and TAA. NEAA: nonessential AA.
PS
PS in gastrocnemius and masseter muscles increased 30 min post-feeding (Fig. 1A–B; P < 0.05), remained elevated for 90 min in the gastrocnemius (P < 0.007) and 60 min in the masseter (P < 0.009), and returned to fasting levels by 120 min in both muscles. There was no significant increase in PS in the soleus and left heart after feeding (Fig. 1C–D).
In the liver, PS increased within 30 min after a meal (Fig. 2A; P < 0.001), remained elevated for at least 90 min (P < 0.04), and returned to baseline 120 min post-feeding. PS increased in the jejunum between 30 to 60 min (Fig. 2B; P < 0.05) and in the pancreas by 30 min post-feeding (Fig. 2C; P < 0.05). There was no significant effect of feeding on PS in the kidney (Fig. 2D).
mTORC1 activation
AMPK and RagB GTPase phosphorylation in all muscles was unaltered by a bolus meal (Table 3). TSC2 phosphorylation increased 30 min post-prandially, was maintained for 120 min in all muscles, and returned to baseline by 240 min (Table 3; P < 0.05). PRAS40 (Table 3; P < 0.05) and mTOR phosphorylation (Fig. 3; P < 0.05) increased 30 min after a meal in the gastrocnemius, masseter, soleus, and left heart, and returned to baseline by 240 min. 4EBP1 and S6K1 phosphorylation increased 30 min after a meal in the gastrocnemius, masseter, soleus, and left heart (Table 3; P < 0.01); was maintained for 120 min, and returned to baseline by 240 min.
Table 3.
Gastrocnemius
| |||||||
---|---|---|---|---|---|---|---|
Time (min) | 0 | 30 | 60 | 90 | 120 | 240 | P value |
AMPK on Thr172 (AU) | 0.99 ± 0.23 | 0.93 ± 0.15 | 0.88 ± 0.18 | 0.87 ± 0.18 | 1.07 ± 0.16 | 1.01 ± 0.15 | NS |
TSC2 on Thr1462 (AU) | 0.10 ± 0.01* | 1.23 ± 0.18† | 1.21 ± 0.17† | 0.81 ± 0.15‡ | 0.67± 0.08§ | 0.13 ± 0.03* | P<0.05 |
PRAS40 on Thr246 (AU) | 0.57 ± 0.9* | 7.76 ± 0.83† | 7.58 ± 1.18† | 4.25 ± 0.50‡ | 3.02 ± 0.40§ | 0.75 ± 0.13* | P<0.05 |
RagB -mTOR (AU) | 0.39 ± 0.07 | 0.33 ± 0.05 | 0.39 ± 0.05 | 0.37 ± 0.04 | 0.42 ± 0.07 | 0.40 ± 0.06 | NS |
S6K1 on Thr398 (AU) | 2.54 ± 0.44* | 20.35 ± 4.30† | 15.65 ± 3.77‡ | 4.31 ± 3.18‡ | 8.49 ± 1.30§ | 3.86 ± 0.74* | P<0.05 |
4E-BP1 on Thr70 (AU) | 0.48 ± 0.13* | 6.03 ± 0.86† | 4.02 ± 0.57‡ | 3.93 ± 0.78‡ | 2.39 ± 0.47§ | 0.64 ± 0.16* | P<0.05 |
| |||||||
Masseter
| |||||||
AMPK on Thr172 (AU) | 0.66 ± 0.08 | 0.76 ± 0.11 | 0.66 ± 0.15 | 0.77 ± 0.18 | 0.73 ± 0.17 | 0.64 ± 0.10 | NS |
TSC2 on Thr1462 (AU) | 0.42 ± 0.05* | 5.80 ± 0.65† | 6.04 ± 0.54† | 4.83±0.85‡ | 3.13 ± 0.59§ | 0.75 ± 0.14* | P<0.05 |
PRAS40 on Thr246 (AU) | 0.04 ± 0.01* | 0.60 ± 0.08† | 0.58 ± 0.08† | 0.35 ± 0.02§ | 0.23 ± 0.03§ | 0.04 ± 0.01* | P<0.05 |
RagB -mTOR (AU) | 0.80 ± 0.15 | 0.73 ± 0.09 | 0.79 ± 0.09 | 0.84 ± 0.07 | 0.75 ± 0.10 | 0.72 ± 0.10 | NS |
S6K1 on Thr398 (AU) | 0.14 ± 0.05* | 1.47 ± 0.41† | 1.42 ± 0.40† | 0.85 ± 0.21§ | 0.71 ± 0.20§ | 0.24 ± 0.13* | P<0.05 |
4E-BP1 on Thr70 (AU) | 0.27 ± 0.09* | 1.86 ± 0.05† | 1.71 ± 0.41† | 1.46 ± 0.26‡ | 0.97 ± 0.13§ | 0.31 ± 0.13* | P<0.05 |
Soleus
| |||||||
---|---|---|---|---|---|---|---|
Time (min) | 0 | 30 | 60 | 90 | 120 | 240 | P value |
AMPK on Thr172 (AU) | 0.43 ± 0.03 | 0.40 ± 0.08 | 0.48 ± 0.13 | 0.48 ± 0.08 | 0.37 ± 0.07 | 0.45 ± 0.07 | NS |
TSC2 on Thr1462 (AU) | 0.05 ± 0.01* | 0.61 ± 0.08† | 0.53 ± 0.07† | 0.46 ± 0.07‡ | 0.32 ± 0.05§ | 0.05 ± 0.01* | P<0.05 |
PRAS40 on Thr246 (AU) | 0.08 ± 0.01* | 1.08 ± 0.08† | 1.11 ± 0.14† | 0.72 ± 0.11‡ | 0.58 ± 0.08§ | 0.11 ± 0.02* | P<0.05 |
RagB -mTOR (AU) | 0.64 ± 0.11 | 0.63 ± 0.08 | 0.55 ± 0.08 | 0.67 ± 0.11 | 0.59 ± 0.09 | 0.68 ± 0.07 | NS |
S6K1 on Thr398 (AU) | 0.10 ± 0.03* | 2.04 ± 0.26† | 1.54 ± 0.32‡ | 1.00 ± 0.13‡ | 0.46 ± 0.09§ | 0.14 ± 0.03* | P<0.05 |
4E-BP1 on Thr70 (AU) | 0.11 ± 0.02* | 2.15 ± 0.26† | 1.90 ± 0.18‡ | 1.43 ± 0.14‡ | 0.77 ± 0.10§ | 0.12 ± 0.02* | P<0.05 |
| |||||||
Left Heart
| |||||||
AMPK on Thr172 (AU) | 0.37 ± 0.11 | 0.30 ± 0.07 | 0.36 ± 0.05 | 0.35 ± 0.06 | 0.31 ± 0.06 | 0.33 ± 0.04 | NS |
TSC2 on Thr1462 (AU) | 0.05 ± 0.03* | 0.80 ± 0.07† | 0.93 ± 0.11† | 0.55 ± 0.10§ | 0.43 ± 0.06§ | 0.07 ± 0.01* | P<0.05 |
PRAS40 on Thr246 (AU) | 0.38 ± 0.05* | 4.65 ± 0.64† | 4.35 ± 0.58† | 3.00 ± 0.46‡ | 2.03 ± 0.27§ | 0.45 ± 0.04* | P<0.05 |
RagB -mTOR (AU) | 0.24 ± 0.03 | 0.22 ± 0.02 | 0.25 ± 0.01 | 0.23 ± 0.03 | 0.22 ± 0.02 | 0.24 ± 0.03 | NS |
S6K1 on Thr398 (AU) | 0.12 ± 0.04* | 1.90 ± 0.48† | 1.41 ± 0.32‡ | 0.91 ± 0.17‡ | 0.62 ± 0.06§ | 0.12 ± 0.02* | P<0.05 |
4E-BP1 on Thr70 (AU) | 0.14 ± 0.03* | 2.49 ± 0.23† | 2.02 ± 0.20‡ | 1.56 ± 0.37‡ | 0.94 ± 0.12§ | 0.14 ± 0.02* | P<0.05 |
Values are means ± SEM, n = 6–36. AU = Arbitrary units. Means in a row with superscripts without a common symbol differ, P < 0.05.
AMPK and RagB GTPase phosphorylation were not altered by a meal in all visceral tissues (Table 4). However, TSC2 phosphorylation in the liver, jejunum, pancreas, and kidney increased 30 min post-prandially, was maintained for 120 min, and returned to baseline by 240 min (Table 4; P < 0.05). PRAS40 (Table 4; P < 0.05) and mTOR phosphorylation (Fig. 4; P < 0.05) increased 30 min post-feeding in all viscera and returned to baseline by 240 min. 4EBP1 phosphorylation in the liver increased to maximum levels at 30 min post-prandially (Table 4; P < 0.002) and returned to baseline by 240 min. In the jejunum, pancreas, and kidney (Table 4; P < 0.01), 4EBP1 phosphorylation increased after feeding with peak levels at 30 min and remained elevated for 120 min in the jejunum and pancreas (P < 0.05) and for 90 min in the kidney (P < 0.05). S6K1 phosphorylation in all viscera reached maximum levels at 30 min post-feeding, remained elevated for 90 min in the liver and kidney (Table 4; P < 0.05) and for 120 min in the jejunum and pancreas (Table 4; P < 0.05), and returned to baseline by 240 min.
Table 4.
Liver
| |||||||
---|---|---|---|---|---|---|---|
Time (min) | 0 | 30 | 60 | 90 | 120 | 240 | P value |
AMPK on Thr172 (AU) | 0.88 ± 0.11 | 0.86 ± 0.08 | 0.81 ± 0.11 | 0.80 ± 0.12 | 0.83 ± 0.09 | 0.91 ± 0.16 | NS |
TSC2 on Thr1462 (AU) | 0.10 ± 0.01* | 1.04 ± 0.13† | 0.90 ± 0.11† | 0.77 ± 0.11‡ | 0.50 ± 0.08§ | 0.14 ± 0.03* | P<0.05 |
PRAS40 on Thr246 (AU) | 0.08 ± 0.02* | 1.08 ± 0.12† | 0.91 ± 0.09† | 0.68 ± 0.12‡ | 0.40 ± 0.06§ | 0.10 ± 0.02* | P<0.05 |
RagB -mTOR (AU) | 0.72 ± 0.07 | 0.69 ± 0.14 | 0.67 ± 0.09 | 0.76 ± 0.11 | 0.64 ± 0.09 | 0.65 ± 0.05 | NS |
S6K1 on Thr398 (AU) | 0.07 ± 0.01* | 0.47 ± 0.09† | 0.34 ± 0.06† | 0.36 ± 0.07† | 0.16 ± 0.06§ | 0.04 ± 0.02* | P<0.05 |
4E-BP1 on Thr70 (AU) | 0.06 ± 0.01* | 1.18 ± 0.22† | 1.04 ± 0.37† | 1.06 ± 0.26† | 0.64 ± 0.17§ | 0.13 ± 0.04* | P<0.05 |
| |||||||
Jejunum
| |||||||
AMPK on Thr172 (AU) | 1.12 ± 0.26 | 0.96 ± 0.16 | 1.14 ± 0.19 | 1.38 ± 0.21 | 1.15 ± 0.21 | 1.01 ± 0.23 | NS |
TSC2 on Thr1462 (AU) | 0.43 ± 0.09* | 6.41 ± 0.93† | 6.43 ± 1.03† | 4.37 ± 0.54‡ | 2.24 ± 0.30§ | 0.56 ± 0.07* | P<0.05 |
PRAS40 on Thr246 (AU) | 0.50 ± 0.03* | 6.53 ± 0.86† | 5.81 ± 0.66† | 3.98 ± 0.48‡ | 2.66 ± 0.28§ | 0.57 ± 0.07* | P<0.05 |
RagB -mTOR (AU) | 0.55 ± 0.09 | 0.70 ± 0.10 | 0.51 ± 0.04 | 0.56 ± 0.09 | 0.52 ± 0.06 | 0.53 ± 0.06 | NS |
S6K1 on Thr398 (AU) | 0.33 ± 0.09* | 0.69 ± 0.13† | 0.82 ± 0.11† | 0.76 ± 0.10† | 0.48 ± 0.06§ | 0.29 ± 0.10* | P<0.05 |
4E-BP1 on Thr70 (AU) | 0.60 ± 0.10* | 2.75 ± 0.26† | 2.52 ± 0.30† | 2.06 ± 0.42† | 1.47 ± 0.28§ | 0.45 ± 0.11* | P<0.05 |
Pancreas
| |||||||
---|---|---|---|---|---|---|---|
Time (min) | 0 | 30 | 60 | 90 | 120 | 240 | P value |
AMPK on Thr172 (AU) | 0.37 ± 0.07 | 0.41 ± 0.05 | 0.39 ± 0.04 | 0.42 ± 0.07 | 0.38 ± 0.07 | 0.42 ± 0.04 | NS |
TSC2 on Thr1462 (AU) | 0.13 ± 0.01* | 1.12 ± 0.12† | 1.24 ± 0.11† | 0.77 ± 0.06‡ | 0.60 ± 0.08§ | 0.12 ± 0.02* | P<0.05 |
PRAS40 on Thr246 (AU) | 0.05 ± 0.01* | 0.67 ± 0.06† | 0.72 ± 0.11† | 0.53 ± 0.09‡ | 0.35 ± 0.04§ | 0.07 ± 0.01* | P<0.05 |
RagB -mTOR (AU) | 0.38 ± 0.06 | 0.45 ± 0.07 | 0.39 ± 0.05 | 0.40 ± 0.04 | 0.44 ± 0.06 | 0.41 ± 0.04 | NS |
S6K1 on Thr398 (AU) | 0.15 ± 0.04* | 2.22 ± 0.37† | 2.00 ± 0.42† | 1.24 ± 0.24§ | 1.17 ± 0.43§ | 0.13 ± 0.03* | P<0.05 |
4E-BP1 on Thr70 (AU) | 0.18 ± 0.03* | 1.19 ± 0.22† | 1.25 ± 0.15† | 0.65 ± 0.10§ | 0.48 ± 0.10§ | 0.16 ± 0.02* | P<0.05 |
| |||||||
Kidney
| |||||||
AMPK on Thr172 (AU) | 0.52 ± 0.06 | 0.55 ± 0.07 | 0.50 ± 0.06 | 0.46 ± 0.04 | 0.48 ± 0.11 | 0.48 ± 0.07 | NS |
TSC2 on Thr1462 (AU) | 0.05 ± 0.01* | 0.55 ± 0.06† | 0.58 ± 0.10† | 0.42 ± 0.10§‡ | 0.33 ± 0.04§ | 0.06 ± 0.01* | P<0.05 |
PRAS40 on Thr246 (AU) | 0.11 ± 0.02* | 1.32 ± 0.10† | 1.25 ± 0.07† | 0.99 ± 0.15§‡ | 0.58 ± 0.06§ | 0.15 ± 0.03* | P<0.05 |
RagB -mTOR (AU) | 0.61 ± 0.10 | 0.71 ± 0.07 | 0.57 ± 0.12 | 0.58 ± 0.10 | 0.62 ±0.05 | 0.60 ± 0.10 | NS |
S6K1 on Thr398 (AU) | 0.13 ± 0.03* | 2.79 ± 0.48† | 2.36 ± 0.32† | 1.53 ± 0.23‡ | 1.05 ± 0.15§ | 0.15 ± 0.04* | P<0.05 |
4E-BP1 on Thr70 (AU) | 0.22 ± 0.05* | 1.74 ± 0.17† | 1.41 ± 0.27† | 1.13 ± 0.16‡ | 0.75 ± 0.13§ | 0.28 ± 0.07* | P<0.05 |
Values are means ± SEM, n = 6–36. AU = Arbitrary units. Means in a row with superscripts without a common symbol differ, P < 0.05.
rpS4 and rpS8 mRNA in polysomes in liver
The proportion of rpS4 and rpS8 mRNAs in liver polysomes increased at 30 min (Fig. 5; P < 0.05), was sustained for 120 min after a meal, but returned to baseline by 240 min. The distribution of ODC, a negative control for regulation of the terminal oligopyrimidine (TOP) mRNA in polysomes, was unchanged by feeding.
DISCUSSION
Previous investigations in newborn animals have shown that PS in skeletal muscle is stimulated by feeding (7, 8, 9, 24). However, most of the studies have examined the response at one time point (7), and have not evaluated the time course of the changes in PS in different tissues during the dynamic post-absorptive period. The current study shows that in muscle, the increase in PS after a bolus meal is fiber type dependent and that the change in PS after a meal differed among visceral tissues. Additionally, we demonstrated that gastric bolus feeding stimulated mTORC1 signaling in all muscles and viscera examined, but this increase in mTORC1 activation did not necessarily render an increase in PS rates in all tissues.
Post-prandial stimulation of muscle PS
Our previous studies demonstrated that circulating insulin, AA, and glucose concentrations are elevated in neonatal pigs after a meal (7, 19), and that insulin and AA independently stimulate PS in skeletal muscle (11). Recently, we showed that after a bolus meal, PS in the longissimus dorsi, a muscle of primarily fast-twitch glycolytic fibers, reached maximal levels within 30 min of feeding, remained elevated for 120 min, and closely mirrored the changes in circulating AA concentrations (19). The data also suggested that maximal rates of PS in the longissimus dorsi can be achieved at insulin levels less than the peak achieved after eating, at least in the presence of fed AA levels (19), consistent with results from our pancreatic-substrate clamp studies (21, 25).
In the current study, we found that a bolus meal increased PS from 30 to 90 min in the fast-twitch glycolytic gastrocnemius muscle. However, PS increased for only 60 min in the masseter, a muscle of mixed fiber type, and did not respond to a meal in muscles of oxidative metabolism, such as soleus and heart. These findings support the hypothesis that muscles containing primarily fast-twitch glycolytic fibers are highly responsive to feeding and this is mediated by the increase in circulating AA, insulin, or both after a bolus meal. In neonatal pigs, glycolytic muscles account for a major component of mass deposition during growth (7). The unique responsiveness of PS in fast-twitch muscles, compared to other muscle types, to the post-prandial state likely allows enhanced nutrient utilization to translate into higher protein deposition rates in neonates.
mTORC1 activation in muscle after a meal
Our previous studies revealed that feeding is effective in stimulating PS in skeletal muscle of neonates through activation of signaling components upstream and downstream of mTORC1 that lead to mRNA translation (12, 26). Of the upstream regulators of mTORC1, it has been proposed that AA may act by inhibiting a negative regulator, TSC2. Phosphorylation of Thr1462 on TSC2 inhibits its Rheb-GTPase activity, thereby relieving inhibition of mTOR (17). Contrary to other studies (27), we found that a bolus meal enhanced TSC2 phosphorylation at 30 min, returning to baseline at 240 min in all muscles, probably mediated by activation of protein kinase B (PKB). Activation of RagB GTPase, also a regulator of mTORC1 (16), was not altered after a bolus meal in any muscle. Phosphorylation of AMPK, an energy sensor that activates TSC2 (17), was unaltered by feeding in muscles, suggesting that AMPK does not activate mTOR when sufficient energy and macronutrients are provided. Previously we showed that AMPK is not altered by food deprivation or feeding in neonatal pigs, suggesting that AMPK is not a regulator of mTOR during the feeding/fasting cycle (23). The interaction of PRAS40 with mTORC1 inhibits the activity of mTORC1. Phosphorylation of PRAS40 by PKB and mTORC1 disrupts the binding between mTORC1 and PRAS40, and relieves the inhibitory constraint of PRAS40 on mTORC1 activity, allowing phosphorylation of S6K1 and 4EBP1 (15). In our study, we found an increase in mTORC1, PRAS40, 4EBP1, and S6K1 phosphorylation in gastrocnemius and masseter that peaked at 30 min post-feeding and paralleled the increase in PS. However, in soleus and left heart, mTORC1, PRAS40, 4EBP1 and S6K1 also were activated, but this was not associated with an increase in PS. Therefore, mTORC1 activation does not necessarily translate into a significant increase in PS rates in muscles of oxidative metabolism after a single meal, although, it may upregulate the translation of a subset of mRNAs, as reported previously in rodents (28). Another explanation for this discrepancy could be that the activation of other signaling pathways, in addition to the mTOR pathway, may be needed to fully support the process of translation of mRNA into protein in these tissues.
Differential effects of a meal on visceral PS
Prior studies in neonatal pigs showed that liver PS increases in response to a rise in AA, but not insulin (10, 21). Our current study showed a significant increase in PS in liver 30 min after a meal that was sustained for at least 90 min, consistent with the maximum increase in circulating BCAA after the meal commenced. These results are consistent with our previous pancreatic-substrate clamps studies (10, 18, 21) which demonstrated that neonatal liver is highly sensitive to AA and highlight the importance of protein in the diet of the neonate in stimulating protein deposition.
The jejunum also is of major importance to whole body protein turnover (29). In our study, jejunal PS increased 30 min post-feeding, and returned to baseline rates by 90 min post-feeding. Previous studies have shown that one-third of the dietaryintake of EAA is consumed in first-pass metabolism by the intestine (30). The higher metabolic demands and first-pass metabolism may limit the ability of the intestine to sustain the postprandrial increase in PS.
Pancreatic-substrate clamp studies performed in our laboratory previously showed that AA stimulate PS in the pancreas (10); however, in that study PS was not measured over time. In the current study, PS in the pancreas increased 30 min after feeding and returned to baseline levels by 60 min. A possible explanation for the apparent blunting of the effect of feeding on PS is that isotopically labeled pancreatic protein was secreted and could not be detected.
Our previous studies demonstrated that infusion of AA alone, but not insulin alone, to reproduce fed levels, stimulated PS in kidney of neonatal pigs (25). In the current study, we found that a bolus meal failed to increase PS in the kidney. Whether differences in the results of our current and previous studies are due to differences in AA availability or other factors is unknown.
Effects of a meal on mTORC1 signaling in visceral tissues
In the liver and other visceral tissues examined, phosphorylation of TSC2 was significantly increased 30 min after a meal, returning to baseline at 240 min. TSC2 phosphorylation leads to inhibition of GTP and activation of mTORC1 leading to translation initiation and PS (17). RagB GTPase and AMPK activation were unaltered by feeding in all viscera.
We have demonstrated that nutrient intake, particularly that of AA, is the primary stimulus for liver PS and this response is mediated by an enhanced activation of the mTORC1 signaling pathway. The rp are principal players in promoting growth, and contain specific regulatory elements that control their translational efficiency (31). In our study, we found S4 and S8 mRNA in polysomes increased 30 min post-feeding, which was maintained for at least 120 min, and paralleled the increase in mTORC1, PRAS40, S6K1, and 4EBP1 phosphorylation, suggesting rapid movement of hepatic rp mRNAs into polysomes. This rapid redistribution along with the rapid activation of mTORC1 may contribute to an increase in ribosomal biogenesis and thus, protein synthetic capacity in liver in response to feeding, leading to an increase in global rates of PS, and allowing the synthesis of visceral proteins.
In the jejunum, pancreas, and kidney, feeding a bolus meal increased phosphorylation of mTORC1, PRAS40, S6K1 and 4EBP1, suggesting mTORC1-dependent translation was activated. These findings in the jejunum and pancreas were consistent with the feeding-induced stimulation of pancreatic and jejunal PS in the current study although the increase in mTORC1, PRAS40, S6K1 and 4EBP1 phosphorylation in these tissues was more sustained than that for PS. However, we could not detect an increase in PS in the kidney despite the activation of these initiation factors. The results suggest that mTORC1-independent processes likely account for the discrepancies between changes in signaling through mTORC1 and PS.
Summary
The results of the present study suggest that feeding stimulates mTORC1 signaling in muscle and viscera, but the activation of this signaling pathway alone does not necessarily translate into equivalent changes in PS in all tissues, and even among muscles that differ in their fiber metabolic and contractile properties. These findings provide additional insights into the processes involved in the stimulation of PS in different tissues after a bolus meal.
Acknowledgments
Statement of financial support: This work was supported in part by the National Institutes of Health grants R01 AR-44474, R01 DK15658, and K08 AR-51563 and the USDA/ARS under Cooperative Agreement number 6250510000-33.
We thank Rosemarie Almonaci and Sharon Rannels for technical assistance, Jerome Stubblefield and Rickey Bryant for animal care, E. O’Brian Smith for statistical assistance, Adam Gillum for graphics, and Linda Weiser for secretarial assistance.
Abbreviations
- AA
Amino acids
- AMPK
AMP-activated protein kinase
- BCAA
branched-chain AA
- EAA
essential AA
- 4EBP1
eukaryotic initiation factor 4E binding protein 1
- GAPDH
glyceraldehyde 3-phosphate dehydrogenase
- mTORC1
mammalian target of rapamycin complex 1
- ODC
ornithine decarboxylase
- PRAS40
proline-rich Akt substrate of 40 kDa
- PS
protein synthesis
- Rag
Ras-related GTP binding protein
- rp
ribosomal protein
- S6K1
rp S6 kinase 1
- TAA
total AA
- TSC2
tuberous sclerosis complex 2
Footnotes
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