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J Appl Physiol 94: 295-300, 2003. First published July 5, 2002; doi:10.1152/japplphysiol.00654.2001
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Vol. 94, Issue 1, 295-300, January 2003

Protein kinetics in stable heart failure patients

Charles W. Cortes1,2, Paul D. Thompson1, Niall M. Moyna1, Margaret D. Schluter2, Maria J. Leskiw2, Melissa R. Donaldson2, Brett H. Duncan1, and T. Peter Stein2

1 Division of Preventive Cardiology, Hartford Hospital, Hartford, Connecticut 06102; and 2 Department of Surgery Research, School of Osteopathic Medicine, University of Medicine and Dentistry of New Jersey, Stratford, New Jersey 07103


    ABSTRACT
TOP
ABSTRACT
INTRODUCTION
METHODS
RESULTS
DISCUSSION
REFERENCES

Heart failure (HF) is a slow progressive syndrome characterized by low cardiac output and peripheral metabolic, biochemical, and histological alterations. Protein loss and reduced protein turnover occur with aging, but the consequences of congestive HF (CHF) superimposed on the normal aging response are unknown. This study has two objectives: 1) to determine whether there was a difference between older age-matched controls and those with stable HF (i.e., ischemic pathology) in whole body protein turnover and 2) to determine whether protein metabolism in liver and skeletal muscle protein turnover is impacted by CHF. We measured the whole body protein synthesis rate with a U-15N-labeled algal protein hydrolysate in 10 patients with CHF and in 10 age-matched controls. Muscle fractional synthesis rate of lateral vastus muscle was determined with [U-13C]alanine on muscle biopsies obtained by a standard percutaneous needle biopsy technique. Fractional synthesis rates of five plasma proteins of hepatic origin (fibrinogen, complement C-3, ceruloplasmin, transferrin, and very low-density lipoprotein apoliprotein B-100) were determined by using 2H5-labeled L-phenylalanine as tracer. Results showed that whole body protein synthesis rate was reduced in CHF patients (3.09 ± 0.19 vs. 2.25 ± 0.71 g protein · kg-1 · day-1, P < 0.05) as was muscle fractional synthesis rate (3.02 ± 0.58 vs. 1.33 ± 0.71%/day, P < 0.05) and very low-density lipoprotein apoliprotein B-100 (265 ± 25 vs. 197 ± 16%/day, P < 0.05). CHF patients were hyperinsulinemic (9.6 ± 3.1 vs. 47.0 ± 7.8 µU/ml, P < 0.01). The results were compared with those found with bed rest patients. In conclusion, protein turnover is depressed in CHF patients, and both skeletal muscle and liver are impacted. These results are similar to those found with bed rest, which suggests that inactivity is a factor in depressed protein metabolism.

protein synthesis; turnover; muscle; liver


    INTRODUCTION
TOP
ABSTRACT
INTRODUCTION
METHODS
RESULTS
DISCUSSION
REFERENCES

CONGESTIVE HEART FAILURE (CHF) is a progressive disease that causes chronic fatigue, muscle weakness, muscle atrophy, and exercise intolerance. The disease is characterized by low cardiac output and metabolic, biochemical, and histological alterations in the peripheral skeletal muscle (1, 7, 18). Peripheral factors, such as a selective loss of type 1 (slow, oxidative) fibers, decreased oxidative enzyme capacity (5, 23), and volume density of mitochondria (10), rather than central hemodynamic parameters seem to be of greater importance in the impaired response to exercise (6, 23, 25). There is a slow progressive loss of skeletal muscle (17, 25).

In other situations, decrements in the ability to make protein are associated with progressively increasing loss of strength and endurance together with decreased immune competence, poorer wound healing, and increased susceptibility to disease (4, 14, 21, 36). Protein turnover accounts for ~20% of the basal metabolic rate (35). The expenditure of such a high proportion of the metabolic rate on protein turnover attests to its physiological importance (29).

The present study had two objectives: first, to determine whether there was a difference between older age-matched controls and those with stable heart failure (i.e., ischemic pathology) in the total ability of the body to make protein, and second, to identify whether CHF impacted protein turnover in two noncardiac tissues (skeletal muscle and liver). The whole body protein and fractional protein synthesis rates of skeletal muscle and four plasma proteins of hepatic were measured in elderly patients with documented CHF and compared with age-matched controls. The four plasma proteins were transferrin, fibrinogen, ceruloplasmin, and complement C-3.


    METHODS
TOP
ABSTRACT
INTRODUCTION
METHODS
RESULTS
DISCUSSION
REFERENCES

Subjects

We obtained informed, written consent from 10 healthy elderly subjects and 10 patients with CHF, in accordance with the policies of the Institutional Review Board for the Protection of Human Subjects of Hartford Hospital and the University of Medicine and Dentistry of New Jersey School of Osteopathic Medicine. Patients with CHF were all New York Heart Association Class II to III, and all had ischemic heart disease as their primary diagnosis for an average of 42 ± 25 mo with a range of 24-92 mo. All patients were weight stable at the time of study. Control subjects had no prior history of cardiac disease and cardiovascular risk factors. All subjects were free living and ambulatory and did not participate in any formalized exercise program. Activity was not quantified.

Potential subjects were identified by review of their medical charts and were invited to participate in the study. A physical examination and medical history were taken on all subjects to confirm their suitability. CHF patients were required to be >65 yr of age and to have had a 2-D echocardiography or cardiac catheterization in the past 6 mo and a resting ejection fraction of <30%. Patients were excluded if they had any of the following: significant psychiatric disorders, neuromuscular disease or dystrophies, stroke, or alcoholism, or if they were residents in a nursing home.

Protein Kinetics

Subjects reported to the study site at 0700 for a 10-h period to determine the rate of whole body protein synthesis and muscle protein fractional synthesis rate. Body weight and height were measured to the nearest 0.5 kg and cm, respectively. Patients were instructed to report to the study center in a fasting state. Patients were instructed to take any required prescription medicines with water. Fasting serum, citrated plasma, and EDTA plasma were drawn before start of the stable isotope studies, centrifuged for 15 min at 3,000 revolutions/min, aliquoted in 1-ml samples, and stored at -70°C until analyzed.

The study lasted 10 h. The study was done in the fed state. During the 10-h period, subjects drank 25 kcal of Ensure (Ross Laboratories, Columbus, OH) every 0.5 h. Whole body protein synthesis and breakdown rates were determined with the single-pulse method by using a 99 atom% 15N Algal amino acid mixture (Isotec, Miamisburg, OH) (32, 34). Muscle and plasma protein synthesis rates were determined by primed constant dosing regimens of 99 atom% U-13C3-labeled L-alanine and 1.0 g 99 atom% 2H5-labeled L-phenylalanine (Isotec), respectively.

To start the study, subjects emptied their bladders as completely as possible, and the void was discarded [time (t) = 0, i.e., 0700]. All urine voided during the next 10 h was collected. Five milliliters of venous blood were then taken from a forearm vein to provide samples for the isotope-related analyses. Subjects then ingested three capsules (0.400 g of the 15N Algal amino acids mixture for the whole body protein synthesis determination and primes of 0.200 g of 99 atom% U-13C3-L-alanine and 1.0 g 99 atom% 2H5-L-phenylalanine). The primes were followed by 0.050 and 0.25 g capsules of U-13C3-L-alanine and 2H5-L-phenylalanine every 30 min for the next 7.5 h. Muscle biopsies (~100 mg) were performed on vastus lateralis muscle at 2.5 and 7.5 h by using a 5-mm Bergstrom needle with applied suction with one biopsy from each leg (12). Before the biopsy was made, the site was anesthetized with 3 ml of lidocaine. Biopsies were taken from the midthigh region at a depth of ~3 in. All biopsies were performed by the same person. Venous EDTA plasma levels were obtained at 2.5 and 7.5 h to correspond with muscle biopsies. Muscle samples were stored at -70°C until analyzed. At 10 h, a demand urine void and 5 ml of venous blood were collected. The 10-h void was combined with the other urine voids collected during the 10-h study period and a 45-ml aliquot and was stored at -70°C until analyzed. Venous blood samples were centrifuged, and the plasma was stored at -70°C.

Analytical Methods

Blood chemistries. Fasting serum and plasma glucose, cholesterol, and triglycerides were determined by using standard clinical techniques by the Clinical Chemistry Laboratories of the Hartford Hospital. Insulin resistance was derived by using the fasting insulin resistance index described by Duncan et al. (11). This method consists of taking the product of plasma insulin and glucose (normalized to an expected glucose of 5 mmol/l and insulin of 5 mU/l to give a reference range centered around unity). The index is equal to fasting glucose × fasting insulin/25).

Whole body protein synthesis. Blood urea nitrogen (BUN) was determined by the urease method by using Sigma diagnostic kit no. 640 (Sigma Chemical, St. Louis, MO). For determination of the isotopic enrichment of BUN, water (1 ml) and urease solution (1.0 ml, 60 µM units urease/ml in 0.1 M phosphate buffer, pH 6.5) were added to plasma (2.0 ml). After incubation for 30 min at 37°C, K2CO3 (2 ml) and 2-octanol (8 drops) were added. The resultant ammonia was removed by aeration and collected in 0.1 N H2SO4 (1 ml). Total urinary nitrogen was measured in 1 ml of urine by the Kjeldahl method (Thomas Scientific, Swedesboro, NJ). The 15N enrichment of BUN-derived ammonia and the Kjeldahl digests were converted to N2 gas by the Rittenberg hypobromite method, as previously described (32), and the 15N enrichment of the resultant N2 was determined by isotope ratio mass spectrometry with a VG-SIRA-II mass spectrometer (VG Instruments, Cheshire, UK).

Plasma amino acid enrichments. One milliliter of 10% salicylic acid was added to 1.0 ml of plasma, and the precipitate was isolated by centrifugation at 5,000 g for 20 min at 4°C. The supernatant was passed through a 2-cm Dowex 50 H+ column in a Pasteur pipette to remove sulfosalicylic acid. The amino acids were then eluted with 6 N NH4OH and taken to dryness by aeration with N2 at 60°C. The residue was then converted to the N-acetyl-N-propyl amino acid esters, as previously described (30), for analysis of the [U-13C]alanine and [2H5]phenylalanine enrichments by using a Hewlett-Packard 5973 quadrupole gas chromatograph mass spectrometer (Hewlett-Packard, Palo Alto, CA). Ion pairs 132:135, 174:177, and 202:205 were monitored for alanine, and 91:96 and 148:153 were monitored for phenylalanine.

Plasma protein-bound amino acid enrichments. Fibrinogen plasma (0.75 ml, 0- and 10-h samples) was added to saline (20 ml) containing thrombin (20 U), and CaCl2 (0.5 ml, 0.5 M) was added. The resultant clot was collected on a glass rod and washed with water as previously described (30).

Ceruloplasmin, transferrin, and complement C-3 were isolated by a combination of immunoprecipitation and subsequent purification by PAGE electrophoreses, as described by Jahoor et al. (20). Plasma (0.2 ml) was reacted with 0.1 ml of anti-sera (15 mg/ml) and allowed to stand at 4°C overnight. The protein antibody complexes were precipitated by centrifugation (5,000 g) at 4°C for 20 min. The precipitates were washed three times with 0.7 ml of 0.15 M NaCl and centrifuged. Thirty-five milliliters of buffer (0.187 M Tris, 0.104 M sodium dodecyl sulfate, 3.26 M glycerol, 0.85 M 2-mercaptoethanol, pH 6.8) containing 0.03% (wt/vol) bromophenol blue were added to the precipitate. The mixture was heated at 95°C for 5 min, cooled to 4°C, and centrifuged at 2,000 revolutions/min for 5 min. Aliquots of the immunopreciptates together with the corresponding standards and antibodies were loaded onto 12% SDS-PAGE gel and electrophoresed in 25 mM Tris-192 mM glycine buffer (pH 8.3) at 20°C. After completion, the gels were stained with Coomassie blue R-250 in 7% wt/vol acetic acid. After the bands corresponding to the respective protein standards were destained with two changes of 7% acetic acid, the bands were cut out and transferred to vessels for the acid hydrolysis of the protein.

The isolated proteins were hydrolyzed with HCl (6 N, 1 ml) at 110°C for 24 h, and the resultant amino acids were converted to their N-acetyl-N-propyl amino acid esters for gas chromatograph mass spectrometric analysis of the [2H5]phenylalanine, as described in Plasma amino acid enrichments (25). Ion pairs at 91:96 and 148:153 were monitored.

Muscle. Muscle samples (~20 mg) were pulverized at -70°C and homogenized with 10% salicylic acid. The resultant mixture was centrifuged at 10,000 g for 15 min. The supernatant was removed, and the precipitate was washed once with water and then twice with ethanol. The supernatant was then treated as described in Plasma amino acid enrichments for the plasma supernatant to prepare the samples for [U-13C]alanine enrichment by using a Hewlett-Packard 5973 quadrupole gas chromatograph mass spectrometer. Ion pairs 132:135, 174:177, and 202:205 were monitored.

An aliquot of the precipitated protein was hydrolyzed with HCl (6 N, 1 ml) at 110°C for 24 h. HCl was removed, and the resultant amino acids were converted to their N-acetyl-N-propyl amino acid esters for analysis of the [U-13C]alanine enrichment by gas chromatograph-to-combustion isotope ratio mass spectroscopy by using a Europa-Orchid gas chromatograph-to-combustion isotope ratio mass spectrometer system (Europa). An Omegawax 320 (30 m × 0.32 mm ID, 0.25 µm thickness, Supelco Bellefonte, PA) was coupled to a Restek RTX 20 column (30 m × 0.32 mm ID, 0.5 µm thickness, Restek, Bellefonte, PA) and used to effect the separation of alanine under an initial temperature 70°C for 1 min, which was increased to 150°C at minute 1 and was maintained for 25 min. The combustion oven contained copper oxide granules at 825°C, and a helium flow rate of 2.0 ml/min.

Methods of Calculation

Whole body protein synthesis. The amount of the administered dose of [15N]glycine excreted was calculated by measuring the amount of 15N excreted in the 10-h period and the 15N remaining in the body urea pool at 10 h. The latter was calculated from the plasma obtained at the end of the experiment. Because urea is distributed uniformly throughout the body water pool, the amount of 15N remaining in the body urea pool can be calculated from the product of the BUN concentration, its 15N enrichment, and total body water expressed in liters. The body urea pool size was estimated from BUN by using an equation derived by Hume and Weyers (18a, 32)
<SUP>15</SUP>N in urea pool<IT>=</IT>TBW (in liters)<IT>×</IT>BUN (in g/l)<IT>×</IT>BUN<SUP> 15</SUP>N (APE<IT>×</IT>0.01) (1)

PSR<IT>=E</IT><SUB>T</SUB>(<IT>*d/*e−</IT>1) (2)
where *d is 15N given in g N 10/h, *e is 15N excreted (urine + BUN) in g N 10/h, ET is N excretion in g N 10/h, and PSR is the rate of protein synthesis in g N 10/h.

The corresponding protein breakdown rate (PBR) was calculated from the relationship PSR - PBR = Nintake - Nexcreted.

Muscle fractional synthesis rate. The fractional muscle synthesis rate (ks) was calculated from the relationship ks = Delta SB/(SI · Delta t) where Delta SB is the difference in isotopic enrichment of alanine in protein-bound alanine between the 2.5- (t1) and 7-h (t2) samples, SI is the mean 13C enrichment of alanine in the muscle free amino acids pool for t1 and t2, and Delta t is the difference in time between t1 and t2.

Plasma ks. The ks was calculated from the relationship ks = Delta SB/(SI · Delta t) where Delta SB is the difference in isotopic enrichment of [5H2]phenylalanine in protein bound phenylalanine between the 2.5- (t1) and 7-h (t2) samples, and SI is the mean 5H2 enrichment of phenylalanine in the plasma for times t1 and t2, and Delta t is the difference in time between t1 and t2.

Statistical Analyses

Data were analyzed by using Student's t-test or analysis of covariance as appropriate. Analysis of covariance was used to adjust the protein synthesis rate values for body weight and insulin. Significance was accepted at a P value of <0.05.


    RESULTS
TOP
ABSTRACT
INTRODUCTION
METHODS
RESULTS
DISCUSSION
REFERENCES

CHF patients weighed significantly more and had higher body mass indexes than control subjects (Table 1). BUN and plasma insulin levels were significantly higher in CHF patients (P < 0.05; Table 1). Whole body protein synthesis rate was significantly reduced in CHF patients when expressed either per total protein mass synthesized per subject or per kilogram of body weight (P < 0.01; Table 2). Analysis of covariance using weight as the covariate showed that this difference still applied with control for body weight. Because subjects were weight stable, it follows that synthesis is equal to breakdown.

                              
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Table 1.   Physical characteristics of subjects


                              
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Table 2.   Summary of experimental results

The fractional rate of mixed muscle protein synthesis was reduced by ~55% in CHF patients compared with the normal age-matched controls (P < 0.03; Table 2). There was an inverse correlation between the elevation of the plasma insulin concentration and the whole body protein synthesis rate in CHF patients. Regression analysis showed a negative correlation between the elevated insulin levels and the whole body protein turnover in stable CHF patients (r2 = -0.84; P = 0.002). There was one diabetic patient in the CHF group. If that subject was excluded from the regression analysis, the inverse relationship between plasma insulin and whole body protein synthesis rate was still statistically significant (P < 0.05). A similar inverse relationship of protein synthesis to the plasma insulin level was found with the muscle fractional synthesis rate in which the decline in muscle synthesis with increasing plasma insulin concentration approached statistical significance (P = 0.063).

Very low-density lipoprotein apoliprotein B-100 synthesis was reduced by ~25% in CHF subjects when compared against their age-matched controls (P < 0.05; Table 3). There were no other differences between subjects for the other four plasma proteins studied.

                              
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Table 3.   Effect of CHF on whole body, muscle, and selected plasma protein synthesis rates


    DISCUSSION
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ABSTRACT
INTRODUCTION
METHODS
RESULTS
DISCUSSION
REFERENCES

The whole body protein synthesis rate was reduced with the CHF patients compared with age-matched controls. Because CHF patients were weight stable, it follows that protein breakdown was equally reduced, which results in an overall reduction in protein turnover. Interpretation of differences in the whole body protein turnover rate can be problematic if there are substantial differences in body composition between the two groups. Although we tried to recruit patients of similar age and build, we were only partially successful because CHF patients were heavier than the age-matched controls. Nevertheless, even after control for weight, the whole body protein turnover rate in these elderly patients with CHF was significantly reduced relative to age-matched controls (P = 0.02).

Estimates of human fractional protein synthesis rates depend on what is used to estimate the precursor pool enrichment in lieu of measuring the enrichment of tRNA. Either the plasma amino acids or the tissue free amino acids can be used. The preference is for the tissue free amino acids because it is believed to be closer to the actual precursor site for protein synthesis; however, doing so does not necessarily provide an accurate value for the precursor pool because the intracellular amino acid pool is not homogenous (2, 16, 27). The muscle fractional synthesis rates in this study may be a little high. The probable reason is that there is a large intracellular alanine pool due to alanine's role in amino acid degradation. However, any underestimation of the true precursor pool for protein synthesis will be common to both groups. Although the values may not be the absolute numbers, any differences between the two closely related groups in this study are still valid. For plasma proteins, the tissue free amino acids cannot be used because liver biopsies were not taken. Therefore, plasma [2H5]phenylalanine enrichment was used for estimating the isotopic enrichment of the liver protein synthesis precursor pool.

Data Interpretation

It is possible that some of the reduction in the whole body protein turnover rate could be due to the sarcopenia associated with CHF (23-25). If CHF patients have less skeletal muscle, total protein synthesis is likely to be lower. However, differences in body composition cannot account for the reduction found in the muscle fractional protein synthesis rate. The muscle fractional synthesis rate measurement is independent of body composition.

The muscle protein fractional synthesis rate was reduced by ~55% in CHF patients compared with age-matched controls. Muscle accounts for between 20 and 50% of the total body protein synthesis rate (13, 26), so if the vastus lateralis muscle is representative of the entire skeletal muscle pool, the whole body protein should be reduced correspondingly, as the present study found (Table 2). Thus the disease is characterized by both a loss of skeletal muscle and a decreased rate of muscle protein turnover.

The reduction in protein turnover appears to be inversely related to the plasma insulin level. The insulin levels seen in CHF patients in this study are characteristic for insulin resistance. Hyperinsulinemia is common in heart failure patients (3, 8, 11) and after myocardial infarction (11, 19). A likely possibility is that CHF patients are less active than age-matched controls since impaired physical activity is one of the characteristics of the disease. Insulin resistance increases with decreased physical activity, e.g., bed rest (9, 22, 28, 33).

There are other parallels between the findings in this study and those found with bed rest studies. Bed rest studies are a common model for studying the effects of reduced activity or reduced gravity on skeletal muscle (15). The ~27% decrease in the whole body protein synthesis rate found with CHF is similar to the ~19% our laboratory found with bed rest [4.14 ± 0.35 vs. 3.36 ± 0.30 g protein · kg-1 · day-1, P < 0.05 (31)] as well as to the findings of others (13, 26). Likewise, the ~55% reduction in the skeletal muscle protein synthesis rate found with CHF patients is similar to the ~50% reduction reported by Ferrando et al. (13) in their bed rest study. The large reduction in protein synthesis occurred although protein loss was <2% (13).

Measurement of plasma protein synthesis rates provides a minimally invasive way of assessing protein synthesis by a second major tissue, the liver. For this study, we selected four proteins, three acute-phase proteins involved in host defense processes (ceruloplasmin, complement C-3, and fibrinogen) and one protein sensitive to nutritional status (transferrin). The selection was predicated in part by a desire to examine proteins with different functions, the need for the turnover rate to be within the sensitivity range of our analytical equipment, and adequate presence in the plasma so that the isolation could be done on 0.3 ml of plasma or less.

There were no differences with any of the plasma protein synthesis rates between CHF patients and age-matched controls. We found a similar result in a bed rest study (Stein et al., unpublished observations). The observations show that that there was no general decline in protein synthesis in tissues other than muscle. Collectively, these observations suggest that a major factor in the reduction of protein turnover is the decreased activity that is characteristic of patients with CHF (6, 23, 25).

In conclusion, CHF is associated with decreased whole body and skeletal muscle protein synthesis. The reduction in protein turnover appears to be inversely related to the plasma insulin level. It is not clear what role insulin sensitivity played in regulating depressed protein synthesis in CHF patients relative to age-matched control subjects in this study. The similarities between the findings with CHF and with bed rest suggest that the reduced rate of muscle protein synthesis found with CHF may be a consequence of inactivity rather than of CHF per se.


    ACKNOWLEDGEMENTS

We thank Michael J. Rewinski for technical assistance and the private cardiology groups affiliated with Hartford Hospital for allowing us to study their patients.


    FOOTNOTES

This work was supported by National Institute on Aging Grant AG-14098-01-A1 (to T. P. Stein) and American Heart Association Grant-In-Aid 9950255N (to C. W. Cortes).

Address for reprint requests and other correspondence: C. W. Cortes, Department of Kinesiology, University of Louisiana, Lafayette, LA 70506 (E-mail: cwc8204{at}louisiana.edu).

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.

July 5, 2002;10.1152/japplphysiol.00654.2001

Received 26 June 2001; accepted in final form 20 June 2002.


    REFERENCES
TOP
ABSTRACT
INTRODUCTION
METHODS
RESULTS
DISCUSSION
REFERENCES

1.   Adamopoulos, S, Coats AJ, Brunotte F, Arnolda L, Meyer T, Thompson CH, Dunn JF, Stratton J, Kemp GJ, and Radda GK. Physical training improves skeletal muscle metabolism in patients with chronic heart failure. J Am Coll Cardiol 21: 1101-1106, 1993[Abstract].

2.   Bier, DM. Intrinsically difficult problems: the kinetics of body proteins and amino acids in man. Diabetes Metab Rev 5: 111-132, 1989[ISI][Medline].

3.   Bressler, P, Bailey SR, Matsuda M, and DeFronzo RA. Insulin resistance and coronary artery disease. Diabetologia 39: 1345-1350, 1996[ISI][Medline].

4.   Chandra, RK. 1990 McCollum Award lecture. Nutrition and immunity: lessons from the past and new insights into the future. Am J Clin Nutr 53: 1087-1101, 1991[Free Full Text].

5.   Chati, Z, Zannad F, Michel C, Lherbier B, Mertes PM, Escanye JM, Ribout C, Robert J, Villemot JP, and Aliot E. Skeletal muscle phosphate metabolism abnormalities in volume-overload experimental heart failure. Am J Physiol Heart Circ Physiol 267: H2186-H2192, 1994[Abstract/Free Full Text].

6.   Clark, AL, Poole-Wilson PA, and Coats AJ. Exercise limitation in chronic heart failure: central role of the periphery. J Am Coll Cardiol 28: 1092-1102, 1996[Abstract].

7.   Coats, AJ, Adamopoulos S, Meyer TE, Conway J, and Sleight P. Effects of physical training in chronic heart failure. Lancet 335: 63-66, 1990[ISI][Medline].

8.   DeFronzo, RA, and Prato SD. Insulin resistance and diabetes mellitus. J Diabetes Complications 10: 243-245, 1996[ISI][Medline].

9.   DeFronzo, RA, Sherwin RS, and Kraemer N. Effect of physical training on insulin action in obesity. Diabetes 36: 1379-1385, 1987[Abstract].

10.   Drexler, H, Riede U, Munzel T, Konig H, Funke E, and Just H. Alterations of skeletal muscle in chronic heart failure. Circulation 85: 1751-1759, 1992[Abstract/Free Full Text].

11.   Duncan, MH, Singh BM, Wise PH, Carter G, and Alaghband-Zadeh J. A simple measure of insulin resistance. Lancet 346: 120-121, 1995[ISI][Medline].

12.   Evans, WJ, Phinney SD, and Young VR. Suction applied to a muscle biopsy maximizes sample size. Med Sci Sports Exerc 14: 101-102, 1982[ISI][Medline].

13.   Ferrando, AA, Lane HW, Stuart CA, Davis-Street J, and Wolfe RR. Prolonged bed rest decreases skeletal muscle and whole body protein synthesis. Am J Physiol Endocrinol Metab 270: E627-E633, 1996[Abstract/Free Full Text].

14.   Fitts, RH, Riley DR, and Widrick JJ. Physiology of a microgravity environment invited review: microgravity and skeletal muscle. J Appl Physiol 89: 823-839, 2000[Abstract/Free Full Text].

15.   Fortney, SM, Schneider VS, and Greenleaf JE. The physiology of bed rest. In: Handbook of Physiology. Environmental Physiology. Bethesda, MD: Am. Physiol. Soc, 1996, vol. II, p. 889-942, sect. 4, chapt. 39.

16.   Garlick, PJ, McNurlan MA, Essen P, and Wernerman J. Measurement of tissue protein synthesis rates in vivo: a critical analysis of contrasting methods. Am J Physiol Endocrinol Metab 266: E287-E297, 1994[Abstract/Free Full Text].

17.   Harrington, D, Anker S, Chua T, Webb-Peploe K, Ponikowski P, Poole-Wilson P, and Coats AJ. Skeletal muscle function and its relation to exercise tolerance in chronic heart failure. J Am Coll Cardiol 30: 1758-1764, 1997[Abstract].

18.   Harrington, D, and Coats AJ. Skeletal muscle abnormalities and evidence for their role in symptom generation in chronic heart failure. Eur Heart J 18: 1865-1872, 1997[Free Full Text].

18a.   Hume, R, and Weyers D. Relationship between total body water and surface area in normal and obese subjects. J Clin Pathol 24: 238-242, 1971.

19.   Iozzo, P, Pratipanawatr T, Pijl H, Vogt C, Kumar V, Pipek R, Matsuda M, Mandarino LJ, Cusi KJ, and DeFronzo RA. Physiological hyperinsulinemia impairs insulin-stimulated glycogen synthase activity and glycogen synthesis. Am J Physiol Endocrinol Metab 280: E712-E719, 2001[Abstract/Free Full Text].

20.   Jahoor, F, Sivakumar B, Del Rosario M, and Frazer EM. Isolation of acute-phase proteins from plasma for determination of fractional synthesis rates by a stable isotope tracer technique. Anal Biochem 236: 95-100, 1996[ISI][Medline].

21.   Keusch, GT, and Farthing MJ. Nutrition and infection. Annu Rev Nutr 6: 131-154, 1986[ISI][Medline].

22.   Koivisto, VA, Yki-Jarvinen H, and DeFronzo RA. Physical training and insulin sensitivity. Diabetes Metab Rev 1: 445-481, 1986[Medline].

23.   Minotti, JR, Christoph I, and Massie BM. Skeletal muscle function, morphology, and metabolism in patients with congestive heart failure. Chest 101: 333S-339S, 1992[Abstract/Free Full Text].

24.   Minotti, JR, Pillay P, Oka R, Wells L, Christoph I, and Massie BM. Skeletal muscle size: relationship to muscle function in heart failure. J Appl Physiol 75: 373-381, 1993[Abstract/Free Full Text].

25.   Pu, CT, Johnson MT, Forman DE, Hausdorff JM, Roubenoff R, Foldvari M, Fielding RA, and Singh MA. Randomized trial of progressive resistance training to counteract the myopathy of chronic heart failure. J Appl Physiol 90: 2341-2350, 2001[Abstract/Free Full Text].

26.   Rennie, MJ. Muscle protein turnover and the wasting due to injury and disease. Br Med Bull 41: 257-264, 1985[Abstract/Free Full Text].

27.   Rennie, MJ, Smith K, and Watt PW. Measurement of human tissue protein synthesis: an optimal approach. Am J Physiol Endocrinol Metab 266: E298-E307, 1994[Abstract/Free Full Text].

28.   Shangraw, RE, Stuart CA, Prince MJ, Peters EJ, and Wolfe RR. Insulin responsiveness of protein metabolism in vivo following bedrest in humans. Am J Physiol Endocrinol Metab 255: E548-E558, 1988[Abstract/Free Full Text].

29.   Stein, TP. Protein Metabolism. New York: Pergamon, 1995.

30.   Stein, TP, Leskiw MJ, and Schluter MD. Diet and nitrogen metabolism during spaceflight on the shuttle. J Appl Physiol 81: 82-97, 1996[Abstract/Free Full Text].

31.   Stein, TP, Leskiw MJ, Schluter MD, and Boden G. Attenuation of the protein wasting associated with bed rest by branched chain amino acids. Nutrition 15: 656-660, 1999[ISI][Medline].

32.   Stein, TP, Rumpler WV, Leskiw MJ, Schluter MD, Staples R, and Bodwell CE. Effect of reduced dietary intake on energy expenditure, protein turnover, and glucose cycling in man. Metabolism 40: 478-483, 1991[ISI][Medline].

33.   Stein, TP, Schulter MD, and Boden G. Development of insulin resistance by astronauts during spaceflight. Aviat Space Environ Med 65: 1091-1096, 1994[Medline].

34.   Waterlow, JC. Protein turnover with special reference to man. Q J Exp Physiol 69: 409-438, 1984[Abstract/Free Full Text].

35.   Welle, S, and Nair KS. Relationship of resting metabolic rate to body composition and protein turnover. Am J Physiol Endocrinol Metab 258: E990-E998, 1990[Abstract/Free Full Text].

36.   Young, VR, and Marchini JS. Mechanisms and nutritional significance of metabolic responses to altered intakes of protein and amino acids, with reference to nutritional adaptation in humans. Am J Clin Nutr 51: 270-289, 1990[Abstract/Free Full Text].


J APPL PHYSIOL 94(1):295-300
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