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1Centre for Integrated Systems Biology and Medicine, 2School of Biomedical Sciences, and 3School of Graduate Entry Medicine and Health, University of Nottingham, Nottingham; and 4Institute of Medical Sciences, University of Aberdeen, Aberdeen, United Kingdom
Submitted 1 May 2008 ; accepted in final form 21 June 2008
| ABSTRACT |
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muscle protein synthesis; muscle protein breakdown
Nevertheless, our current understanding of the molecular mechanisms by which human muscle protein turnover is modulated by amino acids and insulin is poor. There is evidence that the action of signaling molecules such as PKB, mammalian target of rapamycin (mTOR), p70 S6 kinase (p70S6k), and 4E-binding protein-1 (4E-BP1), as in rats (17, 19), is involved in the modulation of human MPS since these are also activated after increased amino acid provision (8, 12, 12, 20, 21). There is, however, very little data regarding the effects of insulin on anabolic signaling in human muscle. Raising insulin about 10-fold to a postprandial concentration (
53 mU/l) increased p70S6k phosphorylation to about the same extent as doubling blood amino acid concentrations but without increasing activity of an index of eukaryotic initiation factor (eIF)-4E-BP1 (15). Unfortunately, these observations were made without any concomitant observations of MPS.
The current understanding of the molecular control of human muscle protein breakdown via amino acids and insulin availability is even more sparse. There is no mechanistic information from work in human muscle showing how insulin might reduce MPB, although there is evidence that insulin-stimulated PKB activity induces phosphorylation of the FOXO family of transcription factors (18, 32), which inhibits their transcriptional activity by localizing them to the cytoplasm. FOXO1 and -3 regulate the transcription of components of the ubiquitin-proteasome system, including the ubiquitin ligases muscle atrophy F-box (MAFbx) and muscle-specific RING finger-1 (MuRF-1), which are proposed to be central to the control of muscle proteolysis in animal muscle (5). Clearly, this could be a mechanism for reduction of MPB by insulin, although there is no direct evidence of this by concurrent measurements of proteolysis, and certainly none in human muscle. Thus there remain major gaps in our understanding of the molecular mechanisms underlying control of human muscle protein turnover. We wished to fill these gaps and chose to carry out our work not on rodents or in cultured muscle but in human beings in whom we could not only measure the effects of metabolic manipulation on protein turnover but also make measurements of muscle gene and protein expression and phosphorylation of signaling molecules. In particular, we wished to study the effects of insulin when they would be unaffected by variation in supply of amino acids, so we chose to make amino acids available at a high concentration, sufficiently high so that any effects of alteration of blood flow or delivery would be obviated.
Thus the purpose of the present work was to gain a more complete mechanistic, molecular understanding of how insulin promotes positive protein balance in human muscle in the presence of a sufficiency of amino acids. We have therefore measured indexes of muscle anabolic signaling (phosphorylation of proteins in the PKB-mTOR-p70S6k pathway), protein expression for the C2 subunit of the proteasome, and mRNA and protein expression for MAFbx and MuRF-1 while concurrently measuring MPS (as incorporation of stable isotope-labeled tracer leucine) and leg protein turnover [both leg protein synthesis (LPS; as rate of disappearance of phenylalanine) and leg protein breakdown (LPB; as rate of appearance of phenylalanine across the leg), both determined using stable isotope-labeled tracer phenylalanine]. Using this approach, we wished to determine 1) the effects of increasing blood amino acid availability while maintaining insulin at a fasting postabsorptive concentration and 2) the dose-response relationship between insulin availability and a) phosphorylation of signaling molecules, b) expression of components of the ubiquitin-proteasome system, and c) various indexes of muscle protein turnover. We hypothesized that there would be coherent changes in the extent of phosphorylation of signaling molecules and of the expression and amounts of proteolytic enzymes that would match the changes in size and direction of measured aspects of muscle protein turnover. The results of testing these hypotheses should provide valuable insights into the importance of these molecules for the regulation of MPS and MPB measured concurrently.
| MATERIALS AND METHODS |
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Eight healthy young men (age 20.4 ± 2.0 yr, body mass index 23.8 ± 2.6 kg·m–2) participated in the study, which was approved by the University of Nottingham Medical School Ethics Committee and carried out in accordance with the Declaration of Helsinki. Before taking part, all subjects underwent routine medical screening and completed a general health questionnaire. All gave their informed consent to take part in the study and were aware that they were free to withdraw from the experiment at any point.
Experimental Protocol
The subjects were asked to eat their normal diet and to refrain from strenuous exercise for 72 h before attending the laboratory on four occasions. The protocol (Fig. 1) was designed to allow the measurement of MPS (by incorporation of [1-13C]leucine into quadriceps protein), LPS as rate of disappearance of phenylalanine (i.e., LPB-leg balance), and LPB as rate of dilution of [2H5]phenylalanine (27) under graded steady-state serum insulin concentrations, but all with increased availability of blood amino acids resulting from infusion of amino acids at a fixed high rate of 18 g/h. Subjects were studied on the four occasions, with protocols that differed only in the nature of the procedures necessary to obtain target serum insulin concentrations of
5, 30, 70, and 170 mU/l, being equivalent to fasted, fed (30 and 70 mU/l), and physiologically high (170 mU/l) insulin concentrations.
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On each occasion, primed constant infusions of stable isotope-labeled amino acids (Cambridge Isotope Laboratories, Andover, MA) were given throughout 270 min. Each experimental visit consisted of priming doses of [2H5]phenylalanine (0.3 mg/kg body mass, 98 atom%) with [1-13C]leucine (0.8 mg/kg body mass, 99 atom%) in 0.9% NaCl. Thereafter, constant infusions of 0.5 mg·kg–1·h–1 phenylalanine and 1.0 mg·kg–1·h–1 leucine in 0.9% NaCl were maintained throughout the experimental session. After 90 min, a primed constant infusion of mixed amino acids (Glamin; Fresenius-Kabi, Runcorn, UK) at 126 ml/h (to deliver 18 g of amino acids/h) was begun concomitantly with an insulin clamp (29), using Actrapid insulin (Novo Nordisk, Bagsvaerd, Denmark). The insulin infusion rates used were 0.6, 15, 40, or 105 mU·m body surface area–2·min–1; these were randomized between visits. Blood glucose concentration was measured at 5-min intervals in samples of arterialized venous blood, and a variable infusion of 20% glucose (Baxter Healthcare) was initiated to maintain a plasma glucose concentration of 4.5 mmol/l during the insulin infusion. An aliquot of the samples obtained every 10 min during the period of the insulin clamp was allowed to clot and used for serum insulin analysis. Endogenous insulin production was suppressed during the 0.6 mU·m–2·min–1 insulin infusion by concurrent infusion of octreotide (1.8 µg·kg body mass–1·h–1 Sandostatin; Novartis), and postabsorptive glucagon concentration was maintained by infusion of glucagon (15 ng–1·kg body mass–1·h–1 GlucaGen, HypoKit; Novo Nordisk). Femoral arterial blood flow was measured in the leg contralateral to that in which the cannulae were inserted at frequent intervals throughout the 270-min protocol using Doppler ultrasound (5 mHz convex linear array transducer, Diasonics Prisma; Diasonics International, Les Ulis, France). Arterial and femoral venous blood samples (2 ml) were taken for blood tracer measurements at baseline, –60, –50, –40, –30, –5, +30, +60, +90, +120, +150, +165, and +180 min (Fig. 1). Quadriceps muscle biopsy samples were taken from the leg in which arterial and venous cannulae were placed, using a 5-mm Bergstrom needle after appropriate local anesthesia with 1% lignocaine on two occasions, at 60 and again at 180 min after amino acid infusion began.
Sample Processing and Analysis
Sampled blood was placed in preweighed tubes containing 4 ml of 1 M HClO4; the tubes containing the blood were weighed again and centrifuged (3,000 rpm, 10 min) to precipitate the blood debris. The supernatant was neutralized with KOH/KHCO3 and stored until analysis. Blood for insulin analysis was allowed to clot, and after centrifugation (3,000 rpm, 10 min) the serum was stored frozen at –80°C.
All muscle samples were, on collection, immediately freed from blood and visible connective and fat tissue, rapidly frozen in liquid nitrogen, and stored at –80°C before analyses.
Blood Glucose and Serum Insulin
Glucose was measured using a glucose analyzer (YSI 2300 STATplus; Yellow Springs Instruments, Yellow Springs, OH). Insulin was measured with a radioimmunoassay kit (Coat-a-Count Insulin; Diagnostics Products).
Gene Expression
RNA extraction. Total RNA was extracted from frozen muscle biopsy samples obtained after 180 min of amino acid and insulin infusion, as described by constantin et al. (7). Approximately 30 mg of frozen wet muscle tissue was homogenized for 30 s using a polytron homogenizer in 800 µl of Trizol reagent (Invitrogen, Paisley, UK) containing 200 µg of glycogen. An aliquot of each extracted RNA sample was then quantified spectrophotometrically to determine purity and concentration by absorbance at 260 nm and the 260:280 nm ratio.
Reverse transcription. Reverse transcription was carried out with 0.5 µg total RNA, using Moloney murine leukemia virus reverse transcriptase (Promega, Southampton, UK) and random hexamer primers, in a total volume of 30 µl containing RNAse inhibitor (Promega) at room temperature for 10 min. This was followed by 1-h incubation at 42°C, after which 25 µl of cDNA was diluted fourfold with RNAse-free H2O to give a 100-µl cDNA pool.
Real-time quantitative PCR. Real-time PCR was performed using PCR universal mix (Applied Biosystems) in a MicroAmp 96-well reaction plate. Each well contained a final total reaction volume of 25 µl. The probes for detection of mRNA species of interest (Table 1) were purchased from Applied Biosystems (Taqman probe). All samples and nontemplate control reactions were performed in triplicate. All reactions were performed in the ABI Prism 7000 (Applied Biosystems). The PCR products were run on a 3% agarose gel and stained with ethidium bromide to check for band size and product purity. Finally, the standard curve method was utilized to measure relative mRNA changes. Ribosomal 18S RNA was used as a housekeeping gene. All values were expressed relative to the 18S expression.
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Approximately 50 mg of each muscle biopsy sample obtained after 180 min of amino acid and insulin infusion was homogenized on ice in a phosphatase inhibitor buffer (unless otherwise stated, all reagents were purchased from Sigma-Aldrich, Poole, UK; 50 mM Tris·HCl, 1% Triton X-100, 1 mM EDTA, 1 mM EGTA, 50 mM sodium fluoride, 10 mM β-glycerophosphate, 0.1% 2-mercaptoethanol, 100 nM okadaic acid) at pH 7.5 for 15 s. The samples were then rotated for 1 h at 4°C and centrifuged at 13,000 g for 10 min at 4°C. The supernatant was removed, and protein concentrations were quantified with a Bradford assay.
For phosphorylated forms of PKB (PKB Ser473), mTOR (mTOR Ser2448), p70S6k (p70S6k Thr389), eIF-4E-BP1 (eIF-4E-BP1 Thr37/46), eukaryotic elongation factor 2 (eEF2 Thr56), and glycogen synthase kinase 3-β (GSK-3β Ser9), 20 µg of protein was electrophoresed on a 4 to 12% NuPAGE Novex Bis-Tris gel (Invitrogen, Paisley, UK) for 2.5 h at 40 mA. For total protein assay of MAFbx (or atrogin 1) and MuRF-1, 5 µg of protein was electrophoresed on a 4 to 12% NuPAGE Novex Bis-Tris gel, and for the C2 proteasome subunit, 50 µg protein was separated on a 12% Tris·HCl criterion gel (Bio-Rad, Hemel Hempstead, UK). Proteins were then transferred by electrophoresis overnight onto nitrocellulose membrane (Hybond-C Extra; Amersham, Buckinghamshire, UK) or 0.2 µm PVDF for the C2 subunit, after which the membrane was placed in a blocking buffer [5% BSA-TBS-T (Tris-buffered saline and 0.1% Tween-20)] for 1 h before incubation overnight at 4°C with primary antibody in 5% BSA-TBS-T. Antibodies for PKB Ser473, mTOR Ser2448, p70S6k Thr389, 4E-BP1 Thr37/46, eEF2 Thr56, and GSK-3β Ser9 were obtained from Cell Signaling Technology (Danvers, MA), for the C2 proteasome from Abcam (Cambridge, UK), and for
-actin from Sigma-Aldrich (Poole, UK). MuRF-1 and MAFbx polyclonal anti-rabbit antibodies were produced in house by Pfizer (Groton, CT) and were provided as a gift. The following day, membranes were washed (5 x 5 min) in TBS-T before incubation for 1 h (1:2,000 5% BSA-TBS-T, with the exception of actin at 1:5,000) in secondary anti-rabbit antibody (DAKO).
The blots were then washed (5 x 5 min) and incubated for 2 min in Western Lightning Chemiluminescence Reagent Plus (PerkinElmer Life Sciences, Boston, MA) and developed using chemiluminescence film (Hyperfilm-enhanced chemiluminescence; Amersham). Chemiluminescent films were scanned and quantified using the Syngene densitometry software (Syngene, Cambridge, UK). Results are expressed as the ratio between phosphorylated protein level and
-actin, with the exception of MAFbx, MuRF-1, and the C2 proteasome, all expressed as the ratio of total protein level and
-actin (loading control).
MPS and Leg Protein Turnover
Muscle protein. Muscle (25 mg) was ground in liquid nitrogen, and mixed muscle protein was precipitated using 1 M perchloric acid and the pellet washed twice with 70% ethanol.
Muscle protein was hydrolyzed in 0.05 M HCl-Dowex 50W-X8-200 (Sigma, Poole, UK), and the liberated amino acids were purified on cation exchange columns (Dowex 50W-X8-200) (31, 32). The amino acids were then converted to their n-acetyl-N-propyl ester derivative and the leucine labeling determined by gas chromatography-combustion-isotope ratio mass spectrometry (Delta-plus XL; Thermofinnigan, Hemel Hempstead, UK) (33, 34).
Plasma amino acid labeling.
To determine labeling (atom %excess) of plasma and tissue free leucine, plasma
-ketoisocaproate (KIC) and phenylalanine proteins were precipitated, and the supernatant, containing free amino acids, was collected to prepare the tert-butyldimethylsilyl (t-BDMS; leucine) and OPDA-t-BDMS (KIC) derivative for analysis by gas chromatography-mass spectrometry (MD800; Fisons, Ipswich, UK) by using electron ionization and selective ion monitoring (35, 36). Blood leucine and phenylalanine concentrations were determined using gas chromatography-mass spectrometry and appropriate standard curves.
Calculations.
The rate of MPS between the biopsies was calculated using the standard equation fractional protein synthesis (%/h) = (
Em/Ep x 1/t) x 100, where
Em is the change in labeling of muscle protein leucine between two biopsy samples, Ep is the mean enrichment over time of the precursor for protein synthesis (taken as venous
-KIC 13C labeling), and t is the time between biopsies. Venous
-KIC was chosen to represent the immediate precursor for protein synthesis, i.e., leucyl-tRNA (37, 38).
The net amino acid balance was calculated as the difference in arterial and venous concentrations multiplied by the blood flow. LPB was calculated from the arterio-venous dilution of [2H2]phenylalanine tracer amino acid using the following equation: {[(EA/EV) – 1] x Cv x BF}, where Ea and Ev (1) are the values of phenylalanine labeling at steady state in arterial and femoral venous plasma, respectively, where Ca is the mean concentration in the arterial blood, and BF is the blood flow in ml/leg. The values for LPS were calculated as the disappearance into the leg of phenylalanine, i.e., {[(Ea/Ev) – 1] x Ca } – (Ca – Cv) x BF, where Cv is the concentration of phenylalanine in femoral venous blood. Each set of samples taken with accompanying blood flows was used to calculate the values of leg protein metabolism over the hour of basal (postabsorptive) and varied insulin availability. The basal values from all studies were averaged so that these represent the mean of 8 x 4 x 4 individual estimates of basal muscle protein metabolism. The values presented from measurements at various insulin concentrations were the mean of 8 x 4 estimates.
Statistical Analysis
All data are reported as means ± SE. Comparisons between intervention groups were performed using one-way ANOVA. When a significant F ratio was achieved, differences were then located using the least significent difference post hoc test. Where appropriate, Student's paired t-test was used. Significance of difference was defined as P
0.05 on all occasions.
| RESULTS |
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Serum insulin in the postabsorptive state before the amino acid infusion or the insulin clamps were instituted was 5.0 ± 0.47 mU/l (Fig. 2). The experimental procedures performed to achieve steady-state serum insulin concentrations of
5, 30, 70, and 170 mU/l were successful. Actual mean steady-state values achieved over the final 150 min of insulin clamp were 5, 30, 72, and 167 mU/l.
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Blood amino acid concentrations rose rapidly from postabsorptive values to a new steady-state value of about three times the basal values (Fig. 3). The changes in phenylalanine were indicative of the changes in all essential amino acids, as reported previously (8). Postabsorptive leg blood flow was 0.64 ± 0.07 l/min and increased when amino acids were given, and when insulin was clamped at the postabsorptive serum insulin concentration (5 mU/l), to 1.00 ± 0.10 l/min (P < 0.01) (Fig. 4). There were no further increases of leg blood flow when insulin was raised to 30, 72, or 167 mU/l.
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No significant difference was observed between any treatment groups for mRNA expression for PKB, mTOR, p70S6k, GSK-3β, MAFbx, MuRF-1, calpain-2, calpain-3/p94, or calpastatin in biopsies taken at the end of the clamps (Table 1).
Effect of Amino Acid and Insulin Availability on Anabolic Signaling
Increasing serum insulin concentration during the mixed amino acid infusion produced insulin dose-related increases in the phosphorylation status of PKB Ser473 and p70S6k Thr389 and dose-related decreases in eEF2 Thr56 phosphorylation status relative to the values at 5 mU/l (Fig. 5A). The phosphorylation of mTOR Ser2448, GSK-3β Ser9, and 4E-BP1 Thr37/46 all showed an increase at an insulin concentration of 30 mU/l (Fig. 5B); no further changes in the phosphorylation status of these signaling molecules were observed with increasing insulin availability.
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Increasing serum insulin concentrations to 30, 72, and 167 mU/l produced graded dose-related reductions in MAFbx protein expression to 40 (P < 0.05), 25 (P = 0.01), and 18% (P < 0.01), respectively, of values measured at 5 mU/l (Fig. 6). However, MuRF-1 total protein was the same at 5, 30, and 72 mU/l, and, paradoxically, it rose significantly at 167 mU/l. There was a trend for expression of the proteasome C2 subunit protein to fall at insulin concentrations of 30–72 mU/l, and this fall became significant at an insulin concentration of 167 mU/l, when its expression declined by
50% compared with
5 mU/l (P < 0.01).
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In the postabsorptive state, net leg protein balance was negative, with LPB exceeding LPS. Infusion of amino acids at a clamped serum insulin concentration of 5 mU/l doubled LPS (P < 0.01), with no effect on LPB, and so leg protein balance became significantly positive (P < 0.01; Fig. 7). The effect shown by phenylalanine kinetics for LPB was confirmed by leucine kinetics (data not shown). However, a relatively modest increase in insulin concentration (to 30 mU/l) halved LPB (determined with both amino acid tracers; leucine data not shown) by
50% (P < 0.05). Manipulation of insulin concentrations to steady values higher than those normally seen in the postprandial state (i.e., 72 and 167 mU/l) maintained the net positive leg protein balance through increased LPS and reduced LPB, without any differences in the measured variables between 5 and 167 mU/l for LPS or between 30 and 167 mU/l for LPB.
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| DISCUSSION |
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Some of the present results were predictable from what had previously been reported [e.g., the effects of amino acids on MPS (1–3, 8), insulin plus amino acids and the effects of insulin on LPB (14, 22)]. However, it was surprising that adding insulin at higher than systemic postabsorptive concentrations had no further effects on MPS or LPS. Some workers have reported increases of MPS and LPS with close arterial insulin contraction without making additional amino acids available (4, 13). We cannot account for these differences except to raise the possibility that in our studies the stimulatory effects of amino acids stimulated protein synthesis to a maximal extent and that further addition of insulin had no additional effect. That this is true is supported by the results of studies in which the effects of insulin plus hyperaminoacidemia vs. hyperaminoacidemia were studied in the forearms of healthy young men (11); raising insulin 10-fold had no significantly greater effect on phenylalanine rate of disappearance compared with doubling amino acid delivery. However, presentation of supraphysiological insulin concentrations in the presence of a doubling of postprandial amino acid concentrations did increase phenylalanine disappearance twofold above the basal rate (16).
The results we obtained for gene expression, insulin signaling, and expression of mRNA and proteins associated with the ubiquitin-proteasome proteolytic pathway are, taken together, highly surprising. These included the dose-related increases in the extent of phosphorylation of PKB and p70S6k without any change in muscle protein synthesis and the dose-related decreases in expression of MAFbx and C2 proteasome subunit protein without any change in muscle protein breakdown. So far as we are aware, no workers have made measurements of human muscle protein turnover and attempted to combine this with information about relevant anabolic and catabolic signaling events determined simultaneously in the same muscle. Many workers have assumed that the results from animal studies are directly extrapolatable to human muscle. This is manifestly not the case.
In response to increased availability of amino acids and insulin, there appear to be changes in the phosphorylation of anabolic signaling molecules and amounts of enzymes associated with the ubiquitin-proteasome pathway that cannot be easily reconciled with alterations in MPS, LPS, and LPB and that change our view of the nature of regulation of muscle protein balance by amino acids and insulin. Specifically, the insulin dose-related increases in the phosphorylation of PKB and p70S6k and dose-dependent decreases in the phosphorylation of eEF2 are not reflected in any way by dose-related changes in MPS or leg turnover. Although this pattern was not seen for the changes in phosphorylation of mTOR, 4E-BP1, and GSK-3β (instead there were "square wave" increases, i.e., a similar increase at insulin values >5 mU/l), there were in fact square wave changes in leg protein turnover that to some extent matched the changes seen in the signaling phosphorylation. Thus the current view that increases in MPS follow from proportionate alterations in the activity of signaling molecules (indicated by alteration of phosphorylation status after manipulation of insulin and amino acid availability) may be an oversimplification; it is certainly not supported by the present results. However, we recognize that the interpretation of the present findings is made without knowledge of the relationship between the degree of phosphorylation and activity of the signaling kinases, the extent of phosphorylation required to elicit a maximum response, or the temporal relationship between protein phosphorylation and resulting anabolic effects. However, in the meantime, workers in this field may not be justified in using changes in phosphorylation status of members of signaling pathways to imply changes in human MPS, and even with direct measurement of the latter, care will be required to distinguish functional from coincidental changes.
In attempting to match up our observed changes in LPB with alterations in protein expression of the ubiquitin ligases and the C2 proteasome unit, we discovered anomalies as severe as those discussed above. The expression of the proteins appear to show insulin dose-related falls, whereas LPB was decreased by insulin at 30 mU/l and thereafter unchanged at higher insulin availability. In all cases, the rate of LPB was lower than in the postabsorptive condition, except when insulin was maintained at the postabsorptive concentration, which is consonant with the 40% reduction in MAFbx expression; however, further decreases in the expression of MAFbx protein were not associated with any physiological effect on protein breakdown. The lack of any effect on MuRF-1 protein expression and the paradoxical rise at the highest insulin availability are also puzzling, since they do not match the observed behavior of LPB. No clue to the proteolytic activity of the ubiquitin ligases comes from the results for their mRNA expression, which was identical at all insulin concentrations. This lack of an effect of insulin on mRNA expression is surprising given that gene array analysis of the effects of insulin at high doses has been reported to stimulate, within 2–3 h, expression of genes that participate in protein synthesis and breakdown (28, 34). However, this discrepancy is probably attributable to the insulin infusion rate in those studies being markedly above those that we used; certainly, at physiological insulin availability, there is no stimulation or inhibition of gene expression for the proteolytic enzymes we studied. As for the anabolic processes, again it appears that there is a disjunction between the measured behavior of protein turnover and observed molecular changes in enzyme expression; these should provide caution to those who use expression of enzymes as indexes of proteolysis without actually measuring it.
This leaves us with the following question: Is there any physiological significance to the observed changes with elevated insulin in signaling molecule phosphorylation and enzyme protein expressions for protein turnover? One possible link appears to be between the altered phosphorylation of the majority of the signaling molecules at 30 mU/l insulin and above and the decreased expression of MAFbx and possibly the C2 proteasome subunit. No previous workers have observed a fall in the expression of these proteins concomitantly with a fall in bulk proteolysis such as what we observed in human muscle, and this novel observation is in itself important in helping us understand the control of muscle protein balance. It may be that increased insulin availability causes a decrease in proteolysis via a decrease in the activity of the ubiquitin-proteasome pathway through alterations in the phosphorylation status of members of what we normally think of as anabolic signaling pathways. PKB-induced phosphorylation of FOXO transcription factors control ubiquitin ligase expression, resulting in inhibition of the ubiquitin-proteasome protein degradation system in myotubes and mouse muscle (29). There is also evidence from work on myotubes and in mice that FOXO coordinates activities of both the ubiquitin-proteasome pathways and lysosomal proteolysis (24, 35). However, if these functions occur in human muscle, then why the graded responses of phosphorylation of PKB or MAFbx do not result in graded reductions in LPB is puzzling. From our results, the counterargument that the atrogins have a limited role physiologically, at the very least in the noninflammatory state, is strengthened by the lack of any change in mRNA of the ubiquitin ligases and the distinctly different behaviors of MAFbx and MuRF-1 protein, which in many circumstances show similar expression changes (7). In an inflammatory state, the situation may be different. Furthermore, the peroxisome proliferator-activated receptor-
agonist-mediated switch in rat muscle fuel utilization toward increased fat oxidation also results in decreased PKB protein expression concomitantly with upregulation of MAFbx and MuRF-1 mRNA and protein expression without any obvious change in muscle protein/DNA ratio or proteasome activity (7). Thus, under some physiological conditions, expressions of muscle anabolic signaling proteins and ubiquitin ligases may be modulated by alterations in fuel metabolism without being linked to muscle protein turnover. Such modulation by insulin may underlie the molecular changes we observed in the present study (i.e., the expressions of muscle anabolic signaling proteins and ubiquitin ligases in human muscle may simply reflect changes in insulin availability, rather than have an intrinsic physiological role, particularly at insulin concentrations >30 mU/l). A further possibility is that, although we measured bulk proteolysis, the ubiquitin ligase enzymes may be concerned only in the marking for proteolysis of a minor, possibly slower, tuning over pool of protein. However, it is hard to imagine what this pool could be, because myofibrillar proteins constitute two-thirds of all muscle protein, and although their turnover is slower than that of sarcoplasmic protein, it is still sizeable at about 60% of the mixed protein rate.
In conclusion, we have shown that increasing availability of amino acids and of insulin over the range of 5–167 mU/l doubled LPS and halved LPB without any dose-response relationship with insulin. Changes in signaling activity (indicated by phosphorylation of members of the PKB-mTOR-P70S6k-eIF4F pathway) were not consistent with the observed changes in protein turnover and may simply be reflecting insulin availability. Decreases in the amounts of MAFbx protein and the C2 proteasome unit in response to increased insulin availability were observed for the first time, which provided some mechanistic explanation for the fall in proteolysis, but further alterations in protein expression at higher insulin availability appear to be decoupled from any effect on proteolysis. This is the first demonstration that tight coupling does not exist between muscle insulin availability, the activation status of signaling proteins regulating translation initiation, amounts of proteolytic enzymes, and directly measured rates of protein turnover in human muscle. These findings should stimulate careful examinations of the relationships between the acute temporal changes and dose responses of muscle protein turnover to amino acids and insulin and provide caution to those who use indirect markers of protein turnover as indicative surrogates.
| GRANTS |
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| ACKNOWLEDGMENTS |
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| FOOTNOTES |
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The costs of publication of this article were defrayed in part by the payment of page charges. The article must therefore be hereby marked "advertisement" in accordance with 18 U.S.C. Section 1734 solely to indicate this fact.
| REFERENCES |
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|
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agonism induces a change in fuel metabolism and activation of an atrophy programme, but does not impair mitochondrial function in rat skeletal muscle. J Physiol 583: 381–390, 2007.This article has been cited by other articles:
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L. Holm, G. van Hall, A. J. Rose, B. F. Miller, S. Doessing, E. A. Richter, and M. Kjaer Contraction intensity and feeding affect collagen and myofibrillar protein synthesis rates differently in human skeletal muscle Am J Physiol Endocrinol Metab, February 1, 2010; 298(2): E257 - E269. [Abstract] [Full Text] [PDF] |
||||
![]() |
C. A. Greig, P. J. Atherton, and M. J. Rennie Can an NSAID a day keep muscle wasting away? J. Physiol., December 15, 2009; 587(24): 5799 - 5800. [Full Text] [PDF] |
||||
![]() |
D. L. Mayhew, J.-s. Kim, J. M. Cross, A. A. Ferrando, and M. M. Bamman Translational signaling responses preceding resistance training-mediated myofiber hypertrophy in young and old humans J Appl Physiol, November 1, 2009; 107(5): 1655 - 1662. [Abstract] [Full Text] [PDF] |
||||
![]() |
E. A Wilkes, A. L Selby, P. J Atherton, R. Patel, D. Rankin, K. Smith, and M. J Rennie Blunting of insulin inhibition of proteolysis in legs of older subjects may contribute to age-related sarcopenia Am. J. Clinical Nutrition, November 1, 2009; 90(5): 1343 - 1350. [Abstract] [Full Text] [PDF] |
||||
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D. W. D. West, G. W. Kujbida, D. R. Moore, P. Atherton, N. A. Burd, J. P. Padzik, M. De Lisio, J. E. Tang, G. Parise, M. J. Rennie, et al. Resistance exercise-induced increases in putative anabolic hormones do not enhance muscle protein synthesis or intracellular signalling in young men J. Physiol., November 1, 2009; 587(21): 5239 - 5247. [Abstract] [Full Text] [PDF] |
||||
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J. E. Tang, D. R. Moore, G. W. Kujbida, M. A. Tarnopolsky, and S. M. Phillips Ingestion of whey hydrolysate, casein, or soy protein isolate: effects on mixed muscle protein synthesis at rest and following resistance exercise in young men J Appl Physiol, September 1, 2009; 107(3): 987 - 992. [Abstract] [Full Text] [PDF] |
||||
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||||
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V. Kumar, P. Atherton, K. Smith, and M. J. Rennie Human muscle protein synthesis and breakdown during and after exercise J Appl Physiol, June 1, 2009; 106(6): 2026 - 2039. [Abstract] [Full Text] [PDF] |
||||
![]() |
N. A. Burd, J. E. Tang, D. R. Moore, and S. M. Phillips Exercise training and protein metabolism: influences of contraction, protein intake, and sex-based differences J Appl Physiol, May 1, 2009; 106(5): 1692 - 1701. [Abstract] [Full Text] [PDF] |
||||
![]() |
S. M. Phillips Sirolimus and mTORC1: centre stage in the story of what makes muscles bigger? J. Physiol., April 1, 2009; 587(7): 1371 - 1371. [Full Text] [PDF] |
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D. R Moore, M. J Robinson, J. L Fry, J. E Tang, E. I Glover, S. B Wilkinson, T. Prior, M. A Tarnopolsky, and S. M Phillips Ingested protein dose response of muscle and albumin protein synthesis after resistance exercise in young men Am. J. Clinical Nutrition, January 1, 2009; 89(1): 161 - 168. [Abstract] [Full Text] [PDF] |
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V. Kumar, A. Selby, D. Rankin, R. Patel, P. Atherton, W. Hildebrandt, J. Williams, K. Smith, O. Seynnes, N. Hiscock, et al. Age-related differences in the dose-response relationship of muscle protein synthesis to resistance exercise in young and old men J. Physiol., January 1, 2009; 587(1): 211 - 217. [Abstract] [Full Text] [PDF] |
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E. I. Glover, S. M. Phillips, B. R. Oates, J. E. Tang, M. A. Tarnopolsky, A. Selby, K. Smith, and M. J. Rennie Immobilization induces anabolic resistance in human myofibrillar protein synthesis with low and high dose amino acid infusion J. Physiol., December 15, 2008; 586(24): 6049 - 6061. [Abstract] [Full Text] [PDF] |
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S. M. Phillips Insulin and muscle protein turnover in humans: stimulatory, permissive, inhibitory, or all of the above? Am J Physiol Endocrinol Metab, October 1, 2008; 295(4): E731 - E731. [Full Text] [PDF] |
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