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The Journal of Clinical Endocrinology & Metabolism Vol. 89, No. 3 1169-1173
Copyright © 2004 by The Endocrine Society

Effect of Dietary Protein Supplements on Calcium Excretion in Healthy Older Men and Women

Bess Dawson-Hughes, Susan S. Harris, Helen Rasmussen, Lingyi Song and Gerard E. Dallal

Bone Metabolism Laboratory (B.D.-H., L.S., G.E.D.) and Metabolic Research Unit, Nutrition Services Department (H.R.), Jean Mayer U.S. Department of Agriculture Human Nutrition Research Center on Aging, Tufts University, Boston, Massachusetts 02111; and New England Research Institutes (S.S.H.), Watertown, Massachusetts 02472

Address all correspondence and requests for reprints to: Bess Dawson-Hughes, M.D., Bone Metabolism Laboratory at the Jean Mayer U.S. Department of Agriculture Human Nutrition Research Center on Aging, Tufts University, 711 Washington Street, Boston, Massachusetts 02111. E-mail: bess.dawson-hughes{at}tufts.edu.


    Abstract
 Top
 Abstract
 Introduction
 Subjects and Methods
 Results
 Discussion
 References
 
Currently there is no consensus on the impact of dietary protein on calcium and bone metabolism. This study was conducted to examine the effect of increasing protein intake on urinary calcium excretion and to compare circulating levels of IGF-I and biochemical markers of bone turnover in healthy older men and women who consumed either a high or a low protein food supplement for 9 wk. Thirty-two subjects with usual protein intakes of less than 0.85 g/kg·d were randomly assigned to daily high (0.75 g/kg) or low (0.04 g/kg) protein supplement groups. Isocaloric diets were maintained by advising subjects to reduce their intake of carbohydrates. Selected biochemical measurements were made at baseline and on d 35 and either d 49 or 63. Changes in urinary calcium excretion in the two groups did not differ significantly over the course of the study. The high protein group had significantly higher levels of serum IGF-I (P = 0.008) and lower levels of urinary N-telopeptide (P = 0.038) over the period of d 35–49 or 63. We conclude that increasing protein intake from 0.78 to 1.55 g/kg·d with meat supplements in combination with reducing carbohydrate intake did not alter urine calcium excretion, but was associated with higher circulating levels of IGF-I, a bone growth factor, and lowered levels of urinary N-telopeptide, a marker of bone resorption. In contrast to the widely held belief that increased protein intake results in calcium wasting, meat supplements, when exchanged isocalorically for carbohydrates, may have a favorable impact on the skeleton in healthy older men and women.


    Introduction
 Top
 Abstract
 Introduction
 Subjects and Methods
 Results
 Discussion
 References
 
DIETARY PROTEIN HAS several effects on the way calcium is handled, but there is little information from protein intervention studies describing the impact of protein on bone mass. In the one available intervention study, elderly patients with acute hip fractures had decreased rates of bone loss from the contralateral hip over the year after their fracture when supplemented for 6 months with 20 g/d protein compared with controls (1).

There have been several shorter-term intervention studies assessing the effects of protein on serum IGF-I levels, biochemical markers of bone turnover, and urinary calcium excretion, and there is little consistency in their findings. For example, IGF-I has either increased (1, 2, 3) or remained unchanged (4); biochemical markers of bone resorption have increased (5), remained unchanged (1, 4), or decreased (3); and urinary calcium excretion has increased (3, 5, 6, 7, 8) or remained unchanged (3, 4, 9). Variability in the results of these intervention studies may be related to the populations studied, the starting protein intakes of the subjects, their calcium intakes, the overall acid/base balance of the diet, the duration of the protein intervention period, and the type of protein used (purified vs. food based, and animal vs. plant). Observational studies have given an equally mixed picture of the impact of dietary protein on bone mass, change in bone mass, and fracture incidence.

This study was conducted to evaluate the impact of increasing protein intake from meat (in combination with lowering carbohydrate intake) for 9 wk on urinary calcium excretion in healthy older men and women. We also compared serum IGF-I levels and markers of bone turnover in the high and low protein groups after d 35 and either d 49 or 63 on the food supplements.


    Subjects and Methods
 Top
 Abstract
 Introduction
 Subjects and Methods
 Results
 Discussion
 References
 
Subjects

A total of 33 healthy men and women age 50 yr and older were enrolled. All subjects completed the study. The protocol was approved by the investigation review board at Tufts University, and written informed consent was obtained from each subject. Telephone prescreening was used to identify subjects with usual dietary protein intakes of 0.85 g/kg or less and calcium intakes less than 700 mg/d and to determine general eligibility. No subject was taking estrogen, glucocorticoids, or insulin, and none had a history of a disorder known to alter calcium or bone metabolism. Screening evaluation included dual energy x-ray absorptiometry hip scans, and blood and urine tests. Subjects were excluded if they had a femoral neck z-score less than -2.0, an abnormal renal or liver function test, or a 24-h urinary calcium level above 300 mg/d. One subject assigned to the low protein group was excluded from the analysis because he was believed to have abnormal bone metabolism. He had very high urinary excretion of N-telopeptide (1004 nm bone collagen equivalents on d 63, compared with the next highest value of 360 nm bone collagen equivalents). This individual also had an elevated urinary calcium excretion during the study.

Experimental design

Subjects were randomly assigned to high or low protein intakes throughout this 63-d study. Fasting blood was drawn, and 24-h urine collections were returned during screening (~2 wk before enrollment) and on d 35, 49, and 63. During the last month (d 35–63), subjects took 800 mg/d supplemental calcium for 2 wk and placebo for 2 wk, in random sequence. At the end of the study, there was no urinary calcium or PTH response to the high calcium intake. This led to the discovery that the calcium triphosphate and placebo pills, prepared by a local compounding pharmacy, did not disintegrate until they had been exposed to acid for 50 min. Hence, the high calcium portion of the experiment is invalid, and we report only the low calcium intake results on d 35 and d 49 or 63, with half of the subjects from each treatment group measured on each of these 2 d.

Diets and food supplements

Subjects maintained their usual low protein diets and consumed a multivitamin and a food supplement daily during the study. Subjects assigned to the high protein group chose from a menu of meat supplements, each containing 0.75 g protein/kg body weight. Subjects assigned to the low protein group consumed a food supplement that was isocaloric with the protein supplements; it consisted mainly of carbohydrates (e.g. rice or pasta salad) and contained small amounts of fat in the form of olive oil for palatability. Subjects were weighed each week and were counseled by the research dietitian to modify their intake of carbohydrates as needed to maintain weight within 1.5 kg of their initial weight.

Food supplements were cooked, wrapped in daily portion sizes, and frozen. They could be eaten at any time of day. Subjects were limited to no more than two caffeine-containing beverages per day. Subjects were given diaries in which to record whether they had eaten the food supplements and taken their multivitamins.

Dietary assessments

Dietary intakes of protein, calcium, phosphorus, magnesium, and total energy over the preceding 2 months were assessed on the screening visit and on d 63 with use of the Fred Hutchinson Food Frequency Questionnaire (10). The questionnaires were self-administered on site and reviewed for completeness by a dietitian.

Bone mineral density and content

Screening femoral neck bone mineral density measurements were made with a GE Lunar Prodigy scanner (Lunar Corp., Madison, WI) with a precision of 1.66% (11). Total body bone mineral content (BMC), nonfat soft tissue, and fat were measured at the beginning and end of the study, with precisions of 1.12%, 0.77%, and 0.94%, respectively (11).

Biochemical measurements

Blood was drawn after an 8-h fast. Serum 25-hydroxyvitamin D was measured with RIA kits from Diasorin (Stillwater, MN), serum PTH was determined with immunoradiometric assay kits from Nichols Institute Diagnostics (San Juan Capistrano, CA), serum IGF-I and osteocalcin were measured with RIA kits from Nichols Institute Diagnostics, and serum N-telopeptide levels were determined with competitive inhibition ELISA kits from Ostex International (Seattle, WA). Serum and urinary creatinine were measured by colorimetry with a Cobas Mira chemistry analyzer (Roche, Bellville, NJ). Urinary sodium and potassium were measured by direct current plasma emission spectroscopy with a Spectraspan 6 (Beckman Instruments, Palo Alto, CA). The intra- and interassay coefficients of variation are 2.7% and 6.8%, respectively. Urinary nitrogen was measured with a model FP-2000 nitrogen/protein determinator (LECO, St. Joseph, MI). This instrument employs a Dumas combustion method and detection using a thermal conductivity cell. It measures nitrogen with a precision of 15 ppm. Samples from individual subjects were batched for the 25-hydroxyvitamin D, PTH, osteocalcin, IGF-I, N-telopeptide, sodium, and potassium analyses.

Statistical analyses

Characteristics of the subjects in the high and low protein groups were compared using two-sample t tests (continuous variables) and {chi}2 tests (categorical variables). Differences between protein groups with regard to changes in laboratory values were examined using repeated measures analysis of covariance. Correlation coefficients were compared using Fisher’s z statistic. Analyses were conducted with SPSS for Windows (version 11.5, SPSS, Inc., Chicago, IL). All results are the mean ± SD unless otherwise stated. All P values are two-sided, and P < 0.05 was considered to indicate statistical significance.


    Results
 Top
 Abstract
 Introduction
 Subjects and Methods
 Results
 Discussion
 References
 
The clinical characteristics of the 32 subjects in the high and low protein groups are shown in Table 1Go. The groups were similar in age, sex distribution, weight, and other characteristics.


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TABLE 1. Baseline characteristics of the 32 study subjects

 
The nutrient composition of the food supplements of subjects in the high and low protein groups is shown in Table 2Go. The protein supplement contained an average of 57.6 g/d protein from meat. The high protein supplements also contained greater amounts of magnesium, phosphorus, potassium, and calcium than the low protein supplements, although there was little calcium in either of the supplements. Nutrient intakes of the low and high protein groups on screening and during the study are given in Table 3Go. Intakes of these nutrients were similar in the two groups initially. During the intervention period, the high protein group had a significantly higher intake of protein and a lower intake of fat, calcium, and calories compared with the low protein group (Table 3Go). Within the high protein group, carbohydrate intake decreased significantly during the study. Neither group had a significant mean change in weight during the study (change in the high protein group, 0.05 ± 1.88 kg; change in the low protein group, -0.06 ± 1.98 kg). Compliance, as recorded by the subjects in their diaries, exceeded 97% for the food supplements and 84% for the multivitamins in both protein groups.


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TABLE 2. Nutrient composition of the food supplements

 

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TABLE 3. Nutrient intake at screening and during the study in the low and high protein groups

 
There were no significant differences in screening levels of serum calcium or 24-h urinary calcium or creatinine concentrations in the two groups (Table 4Go). Changes in urinary calcium excretion during the study did not differ significantly in the two groups either before (P = 0.130) or after (P = 0.114) adjustment for calcium intake (expressed as calcium intake/caloric intake). Similarly, changes in urinary creatinine did not differ significantly in the two groups (P = 0.192).


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TABLE 4. Serum and urinary calcium and urinary creatinine values in the high and low protein groups

 
Serum IGF-I, 24-h urinary N-telopeptide, and other biochemical measurements after 35 d and after 49 or 63 d on the high and low protein intakes are shown in Table 5Go and Fig. 1Go. Compared with the low protein group, the high protein group had significantly higher serum IGF-I levels (P = 0.008). Serum IGF-I levels did not differ significantly in the men and women (data not shown).


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TABLE 5. Biochemical values in the high and low protein groups

 


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FIG. 1. Mean (±SEM) serum IGF-I, 24-h urinary N-telopeptide, and serum osteocalcin levels in the low () and high ({blacksquare}) protein groups. Differences in the two protein groups were significant for IGF-I (P = 0.008) and N-telopeptide (NTX; P = 0.038), but not for osteocalcin (P = 0.795).

 
The 24-h urinary N-telopeptide level was lower in the high than the low protein group (P = 0.038), indicating a reduced rate of bone resorption in the high protein group (Table 4Go). The correlation between 24-h urinary N-telopeptide and 24-h urinary calcium excretion was different for the two treatment groups (P = 0.044; low protein group, r = 0.57; high protein group, r = -0.14; mean urine values of the d 35 and d 49 or 63 points were used).

Serum osteocalcin and PTH levels did not differ significantly in the two protein groups. As expected, the high protein intake group had significantly greater urinary excretion of nitrogen and potassium than the low protein group (Table 5Go).

Mean total body BMC and lean and fat tissue weights were similar in the two protein groups at entry (Table 1Go), and changes in the two groups did not differ significantly (high protein group change, 30.6 ± 56.9 g; low protein group change, 22.9 ± 79.6 g; P = 0.757). However, within the high protein group, total body BMC increased significantly over the 9-wk period (P = 0.049) in contrast to the low protein group (P = 0.268). Within the low protein group, nonfat soft tissue weight decreased significantly over the study interval (P = 0.022), but it did not change significantly in the high protein group (P = 0.179). Total body fat tissue increased significantly in both groups (P < 0.03).


    Discussion
 Top
 Abstract
 Introduction
 Subjects and Methods
 Results
 Discussion
 References
 
It has often been observed that protein induces calciuria (5, 6, 7, 8), and that this occurs in relation to its acid-producing load (12). Other components of the diet also influence acid-base balance; carbohydrate, like protein, increases the potential renal acid load (13), and fruits and vegetables lower it by providing potential alkali (13). It is therefore not surprising that calciuria has not been a consistent finding in intervention studies in which food sources of protein were tested in subjects on isocaloric diets (3, 4). In our study meat supplements had no significant effect on urinary calcium excretion in healthy older subjects who maintained isocaloric diets by reducing their intake of carbohydrate. The high protein group did not report any change in their intake of fruits and vegetables, as indicated by their stable intakes of potassium and magnesium. Nonetheless, urinary potassium excretion was higher in the high than in the low protein group during the study, probably because of the potassium present in the meat supplements, although we cannot rule out the possibility that the high protein group also increased their fruit and vegetable intake despite their report of no change. In the high protein group, there was some suggestion that urinary calcium excretion first rose and then declined, indicating that perhaps some adaptation may have occurred. There is other evidence that the meat supplements did not induce losses of bone calcium. The meat group had lower levels of the bone resorption marker, N-telopeptide, than the low protein group, and they had a gain in total body BMC during the study. Additionally, there was lack of a significant correlation of urinary N-telopeptide with urinary calcium excretion in the high protein group in contrast to the low protein group.

In this study increasing protein intake as meat from 0.78 to 1.6 g/kg·d was associated with 25% higher serum IGF-I levels. This is consistent with other evidence that dietary protein can increase circulating IGF-I levels in older populations. Arjmandi et al. (3) observed significant increases in serum IGF-I with the addition of 40 g soy and milk protein in older women with basal protein intakes of 0.71–0.86 g/kg·d. In another study adult men and women with basal protein intakes of about 65 g/d, when supplemented with three extra servings of milk per day (containing 27 g protein), had significant increases in serum IGF-I (2). Schurch et al. (1) administered 20 g protein daily for 6 months to elderly acute hip fracture patients with a usual mean protein intake of 0.75 g/kg·d and observed an 80% increase in serum IGF-I levels. In contrast, Roughhead et al. (4) reported no change in serum IGF-I levels after increasing dietary protein intake from 0.94 to 1.62 g/kg·d for 8 wk in postmenopausal women. An explanation for the varied effects of protein on serum IGF-I may lie in the different starting protein intake levels in these studies. In classical experiments, Isley et al. (14) found that fasting for 5 d lowered serum IGF-I levels by about 65% in healthy young subjects and that refeeding normal calories and graded amounts of protein resulted in progressive recovery of IGF-I levels with increasing protein intake up to a level of 1.0 g/kg·d. It is unknown whether the same plateau exists in older subjects, but the lack of increase in older women with starting intakes of 0.94 g/kg·d (4) suggests that it may be similar.

The higher protein intake was associated with lower indexes of bone resorption, as indicated by a lower 24-h urinary N-telopeptide level. With the observed higher IGF-I levels, one might have expected to see an increase in bone formation, based on studies in which exogenous IGF-I was administered to postmenopausal women (15) and osteoporotic men (16), but we saw no significant group difference in serum osteocalcin levels. Other studies report divergent effects of protein on markers of bone turnover. Kerstetter et al. (5) observed higher levels of urinary N-telopeptide in subjects on high protein diets compared with low protein diets; however, this study in young subjects had short diet intervention periods of only 4 d. In a metabolic study with 8-wk diet periods, Roughhead et al.(4) found no change in markers of bone formation or resorption after increasing dietary protein from 0.94 to 1.62 g/kg·d. Similarly, Schurch et al. (1) found no significant changes in bone turnover over 6 months, although there were trends toward higher serum osteocalcin and lower urinary pyridinoline levels in the hip fracture patients supplemented with 20 g/d protein. Arjmandi et al. (3) noted a significant decrease in urinary deoxypyridinoline levels with soy, but not with milk, protein supplements and no change in bone-specific alkaline phosphatase, a marker of bone formation, in either group. The increase in IGF-I may have contributed to the stabilization of total body nonfat soft tissue, an index of muscle mass, in the high protein group, but caution should be taken not to overinterpret this short-term study.

Serum PTH levels did not differ after 1–2 months of supplementation in our two protein groups, leading us to conclude that the observed differences in circulating IGF-I and N-telopeptide levels in our two groups were independent of PTH. In another study serum PTH levels rose in the first 4 d of protein loading (5), but serum PTH levels did not change significantly in any of the other longer-term IGF-I (15, 16) or protein (1, 4) intervention studies.

A limitation of this study is that baseline measurements were not available for the items in Table 5Go; however, the two groups agreed well on clinical characteristics, dietary profiles, calcium excretion, and bone mineral density, making it likely that they also agreed on the other measurements.

In conclusion, this study did not confirm the perception that increased dietary protein results in urinary calcium loss. The constellation of findings that meat supplements containing 55 g/d protein, when exchanged for carbohydrate did not significantly increase urinary calcium excretion and were associated with higher levels of serum IGF-I and lower levels of the bone resorption marker, N-telopeptide, together with a lack of significant correlation of urinary N-telopeptide with urinary calcium excretion in the high protein group (in contrast to the low protein) point to the possibility that higher meat intake may potentially improve bone mass in many older men and women.


    Footnotes
 
This material is based on work supported by the U.S. Department of Agriculture, under Agreement 58-1950-9001. Any opinions, findings, conclusions, or recommendations expressed in this publication are those of the authors and do not necessarily reflect the view of the U.S. Department of Agriculture.

Abbreviation: BMC, Bone mineral content.

Received August 21, 2003.

Accepted December 4, 2003.


    References
 Top
 Abstract
 Introduction
 Subjects and Methods
 Results
 Discussion
 References
 

  1. Schurch MA, Rizzoli R, Slosman D, Vadas L, Vergnaud P, Bonjour JP 1998 Protein supplements increase serum insulin-like growth factor-I levels and attenuate proximal femur bone loss in patients with recent hip fracture. A randomized, double-blind, placebo-controlled trial. Ann Intern Med 128:801–809[Abstract/Free Full Text]
  2. Heaney RP, McCarron DA, Dawson-Hughes B, Oparil S, Berga SL, Stern JS, Barr SI, Rosen CJ 1999 Dietary changes favorably affect bone remodeling in older adults. J Am Diet Assoc 99:1228–1233[CrossRef][Medline]
  3. Arjmandi BH, Khalil DA, Smith BJ, Lucas EA, Juma S, Payton ME, Wild RA 2003 Soy protein has a greater effect on bone in postmenopausal women not on hormone replacement therapy, as evidenced by reducing bone resorption and urinary calcium excretion. J Clin Endocrinol Metab 88:1048–1054[Abstract/Free Full Text]
  4. Roughead ZK, Johnson LK, Lykken GI, Hunt JR 2003 Controlled high meat diets do not affect calcium retention or indices of bone status in healthy postmenopausal women. J Nutr 133:1020–1026[Abstract/Free Full Text]
  5. Kerstetter JE, Mitnick ME, Gundberg CM, Caseria DM, Ellison AF, Carpenter TO, Insogna KL 1999 Changes in bone turnover in young women consuming different levels of dietary protein. J Clin Endocrinol Metab 84:1052–1055[Abstract/Free Full Text]
  6. Hegsted M, Linkswiler HM 1981 Long-term effects of level of protein intake on calcium metabolism in young adult women. J Nutr 111:244–251[Abstract/Free Full Text]
  7. Pannemans DL, Schaafsma G, Westerterp KR 1997 Calcium excretion, apparent calcium absorption and calcium balance in young and elderly subjects: influence of protein intake. Br J Nutr 77:721–729[CrossRef][Medline]
  8. Linkswiler HM, Joyce CL, Anand CR 1974 Calcium retention of young adult males as affected by level of protein and of calcium intake. Trans NY Acad Sci 36:333–340[Medline]
  9. Spencer H, Kramer L, Osis D, Norris C 1978 Effect of a high protein (meat) intake on calcium metabolism in man. Am J Clin Nutr 31:2167–2180[Abstract/Free Full Text]
  10. Block G, Woods M, Potosky A, Clifford C 1990 Validation of a self-administered diet history questionnaire using multiple diet records. J Clin Epidemiol 43:1327–1335[CrossRef][Medline]
  11. White J, Harris SS, Dallal G, Dawson-Hughes B 2002 Precision of single versus bilateral hip bone mineral density scans. J Clin Densitom 6:159–162
  12. Sebastian A, Morris Jr RC 1994 Improved mineral balance and skeletal metabolism in postmenopausal women treated with potassium bicarbonate. N Engl J Med 331:279[Free Full Text]
  13. Remer T, Manz F 1995 Potential renal acid load of foods and its influence on urine pH. J Am Diet Assoc 95:791–797[CrossRef][Medline]
  14. Isley WL, Underwood LE, Clemmons DR 1983 Dietary components that regulate serum somatomedin-C concentrations in humans. J Clin Invest 71:175–182[Medline]
  15. Ebeling PR, Jones JD, O’Fallon WM, Janes CH, Riggs BL 1993 Short-term effects of recombinant human insulin-like growth factor I on bone turnover in normal women. J Clin Endocrinol Metab 77:1384–1387[Abstract]
  16. Johansson AG, Lindh E, Blum WF, Kollerup G, Sorensen OH, Ljunghall S 1996 Effects of growth hormone and insulin-like growth factor I in men with idiopathic osteoporosis. J Clin Endocrinol Metab 81:44–48[Abstract]



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