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Inhibition of bone turnover by milk intake in postmenopausal women

Published online by Cambridge University Press:  01 October 2008

Jean-Philippe Bonjour*
Affiliation:
Service of Bone Diseases, University Hospital, Rue Micheli-Du-Crest, Geneva 1211, Switzerland
Marion Brandolini-Bunlon
Affiliation:
Centre de Recherche en Nutrition Humaine d'Auvergne, 58 rue Montalembert, 63009 Clermont-Ferrand, France
Yves Boirie
Affiliation:
Centre de Recherche en Nutrition Humaine d'Auvergne, 58 rue Montalembert, 63009 Clermont-Ferrand, France
Françoise Morel-Laporte
Affiliation:
Centre de Recherche en Nutrition Humaine d'Auvergne, 58 rue Montalembert, 63009 Clermont-Ferrand, France
Véronique Braesco
Affiliation:
Centre de Recherche en Nutrition Humaine d'Auvergne, 58 rue Montalembert, 63009 Clermont-Ferrand, France
Marie-Claude Bertière
Affiliation:
Centre de Recherche et d'Information Nutritionnelles, 45 rue Saint-Lazare, 75314 Paris, France
Jean-Claude Souberbielle
Affiliation:
Laboratoire d'Explorations Fonctionnelles, Hôpital Necker-Enfants Malades, 149 rue de Sèvres, 75015 Paris, France
*
*Corresponding author: Professor Jean-Philippe Bonjour, fax +41 223829973, email [email protected]
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Abstract

Increased postmenopausal bone turnover leads to bone loss and fragility fracture risk. In the absence of osteoporosis, risk preventive measures, particularly those modifying nutritional lifestyle, are appropriate. We tested the hypothesis that milk supplementation affects bone turnover related to biochemical markers in a direction that, in the long term, may be expected to reduce postmenopausal bone loss. Thirty healthy postmenopausal women aged 59·3 (sd 3·3) years were enrolled in a prospective crossover trial of 16 weeks. After a 4-week period of adaptation with diet providing 600 mg calcium plus 300 mg ingested as 250 ml semi-skimmed milk, participants were maintained during 6 weeks under the same 600 mg calcium diet and randomized to receive either 500 ml semi-skimmed milk, thus providing a total of 1200 mg calcium, or no milk supplement. In the next 6 weeks they were switched to the alternative regimen. At the end of the each period, i.e. after 4, 10 and 16 weeks, blood and urinary samples were collected. The changes in blood variables between the periods of 6 weeks without and with milk supplementation were: for parathyroid hormone, − 3·2 pg/ml (P = 0·0054); for crosslinked telopeptide of type I collagen, − 624 pg/ml (P < 0·0001); for propeptide of type I procollagen, − 5·5 ng/ml (P = 0·0092); for osteocalcin, − 2·8 ng/ml (P = 0·0014). In conclusion, a 6-week period of milk supplementation induced a decrease in several biochemical variables compatible with diminished bone turnover mediated by reduction in parathyroid hormone secretion. This nutritional approach to postmenopausal alteration in bone metabolism may be a valuable measure in the primary prevention of osteoporosis.

Type
Full Papers
Copyright
Copyright © The Authors 2008

Increased bone turnover after menopause is considered a key mechanism in bone loss and increased risk of fragility fracture(Reference Hannon and Eastell1, Reference Garnero and Delmas2). In the general population pharmaceutical intervention aimed at preventing bone loss is no longer widely recommended within the 10-year period following menopause. The reasons for this conservative attitude adopted by the medical community stem from both cost-effectiveness analysis and long-term safety of pharmaceutical intervention on skeletal and extra-skeletal functions(Reference De Laet, Kanis and Oden3Reference Heikkinen, Vaheri and Timonen6). Particularly, the widespread use of hormone replacement therapy has been reconsidered based on the assessment of benefits and harm(Reference Nelson, Humphrey, Nygren, Teutsch and Allan7). Although considerable controversy surrounds the use of hormone replacement therapy(Reference Reed, Newton and Lacroix8Reference Stevenson11), the results of the Women Health Initiative study(Reference Rossouw, Anderson and Prentice12) led to substantial modifications by health care providers in the prescription pattern for the primary prevention of osteoporosis, with rapid reduction in hormone replacement therapy use(Reference Udell, Fischer, Brookhart, Solomon and Choudhry13Reference Guay, Dragomir, Pilon, Moride and Perreault15). Thus what was considered as the best therapeutic approach in the primary prevention of postmenopausal osteoporosis was widely discontinued as documented by a 57 % prescription reduction in the USA between 2002 and 2004(Reference Guay, Dragomir, Pilon, Moride and Perreault15). Therefore, it appears timely to reconsider other preventive measures, particularly by exploring strategies aimed at reasonably modifying lifestyle factors that are known to exert a beneficial impact on bone metabolism, such as nutrition and physical activity. Several randomized controlled trials indicate that calcium supplementation associated with a sufficient vitamin D supply reduces postmenopausal or age-related bone loss and fragility fracture(Reference Chapuy, Arlot and Duboeuf16Reference Boonen, Bischoff-Ferrari and Cooper21). As for any chronic therapies the effectiveness of pharmaceutical medication can be compromised by poor adherence and/or persistence. Insufficient compliance can be explained by various reasons such as safety concerns, inconvenience of treatment schedule, lack of motivation, and/or drug-related side-effects(Reference Rossini, Bianchi and Di Munno22). Low compliance holds true not only for specific anti-osteoporosis drugs such as bisphosphonates or raloxifene, but also for pharmaceutical preparations of calcium salts(Reference Rossini, Bianchi and Di Munno22, Reference Downey, Foltz, Boccuzzi, Omar and Kahler23). In fact, treatment compliance was particularly poor for calcium ± vitamin D supplements(Reference Rossini, Bianchi and Di Munno22). Furthermore, in a recent review some clinical guidance was given regarding the use of calcium and vitamin D for the prevention of fragility fracture in the subjects at risk(Reference Boonen, Rizzoli and Meunier24). The authors considered that calcium and vitamin D supplements remain medicinal products that have to be prescribed by physicians and other health care providers(Reference Boonen, Rizzoli and Meunier24). In subjects without impending risk of osteoporosis, as for instance in postmenopausal women at 5–10 years from the time of menstruation cessation with no particular risk factor for osteoporosis, it appears advantageous to provide calcium by increasing its dietary intake(Reference Boonen, Rizzoli and Meunier24). Dairy products have a relatively high calcium content as compared to other usual foods. Furthermore, dairy products also provide protein that is certainly an essential nutrient for bone health(Reference Bonjour, Schurch, Chevalley, Ammann and Rizzoli25Reference Bonjour28).

The most relevant end-point to demonstrate the efficiency of an intervention in the context of osteoporosis is the prospective recording of fragility fractures. This is an extremely demanding end-point that requires enrolment of several thousands of subjects associated with very long-term follow-up, particularly in the absence of prevalent osteoporosis.

Changes in bone biochemical markers have been shown to predict not only the rate of bone loss, but also the risk of incident fragility fractures(Reference Rogers, Hannon and Eastell29Reference Bauer, Black and Garnero34). The early predictive effect of bone turnover inhibition of an intervention reducing hip, non-spine and vertebral fracture appears to be at least as strong as that observed with change in areal bone mineral density (aBMD)(Reference Bauer, Black and Garnero34). Furthermore, this predictive value of bone marker variation on bone loss in postmenopausal women was documented not only with bisphosphonate treatment(Reference Ravn, Thompson, Ross and Christiansen32, Reference Bauer, Black and Garnero34) but also with calcium supplementation(Reference Grados, Brazier and Kamel33). Note that the magnitude ot the early response of bone remodelling biochemical markers is not tightly related to the degree of fracture risk reduction(Reference Chapurlat, Garnero, Breart, Meunier and Delmas30Reference Grados, Brazier and Kamel33).

In the present study we investigated in a group of healthy postmenopausal women, with mean age of 59·5 years, displaying a rather moderate reduction in aBMD as compared to young adult subjects, whether milk supplementation would influence biochemical markers in a way compatible with a reduction in bone turnover.

Materials and methods

Participants

Thirty healthy women aged between 55 and 65 years, 5 years or more since menopause, volunteered for being enrolled into a prospective crossover trial of 16 weeks. Personal history and clinical examination warranted that those enrolled did not suffer from any disease and/or were not under medical therapy. None of them had taken hormonal-related therapy for the prevention of postmenopausal disorders during the last 12 months preceding the entry into the trial; no calcium supplementation; neither antiosteoporotic medication including bisphosphonates, calcitonin, raloxifene, strontium ranelate, vitamin D derivatives, nor medication suggested to act on bone metabolism such as tibolone, anabolic steroids, dehydroepiandrostereone, ipriflavone and other phytoestrogens, or statins. Inclusion criteria were: BMI ranging between 20 and 27 kg/m2; plasma concentration of follicle-stimulating hormone above 20 IU/l; absence of osteoporosis as defined by osteodensitometric T-score value of ≤ − 2·5(35), or history of low trauma fracture; absence of milk distaste, intolerance or allergy to cows' milk or other dairy products; stable food consumption habits in the last 3 months; mean spontaneous calcium intake ≥ 600 mg/d, with no more than 400 mg provided by non-dairy products such as fruit, vegetables and/or mineral water; normal haematological and biological status; physical activity between 1·25 and 3·75 according to the questionnaire-based index established by Baecke et al. (Reference Baecke, Burema and Frijters36); negative HIV and hepatitis C virus tests; signed inform consent. The ethical committee of the Auvergne region (France) approved the protocol.

Milk content

The ultra-heat-treated semi-skimmed milk used in the present study contained per 250 ml: 300 mg calcium, 481 kJ (115 kcal), 8 g proteins, 4 g lipids, 11·5 g glucides, no vitamin D.

Study design

At the beginning of the study an oral dose of 100 000 IU vitamin D3 contained in a 2 ml vial (Uvédose®, Laboratoire Crinex, France) was taken by all participants. This administration was aimed at avoiding any vitamin D insufficiency during the experimental phase. Then, a 4-week period of adaptation was started with diet providing 600 mg calcium plus 300 mg provided by 250 ml semi-skimmed milk. Then during the next 6 weeks the participants were maintained under the same 600 mg calcium diet and randomized to receive either a supplement of 500 ml semi-skimmed milk, thus providing a total of 1200 mg calcium, or no milk supplement. In a third phase of 6 weeks they were switched to the alternative regimen (Fig. 1). The participants were free to consume the milk supplement at one time or in several portions during the day. During the last 24 h of the adaptation phase and of each experimental period, i.e. after 4, 10 and 16 weeks, the participants were asked to collect their urine. The next morning after voiding the overnight urine, samples of both urine and blood were collected in the fasting state.

Fig. 1 Experimental protocol: the crossover design was applied to thirty postmenopausal women randomized in two groups (Gr) either with or without milk supplementation (suppl.) during two periods of 6 weeks that were preceded by an adaptation period of 4 weeks. , Blood and urine samples were collected at the end of the adaptation phase and at the end of each of the two experimental periods.

Food control

During the 16 weeks of the study, the volunteers had to limit their calcium intake to 600 mg/d. For this purpose, the certified dietitian (M. B.-B.) of the investigating team provided the volunteers with a list of foods not to be consumed because of their high calcium content, as well as a list of dairy products they had to eat daily in precise amounts. Water bottles with very low mineral content were distributed to substitute for more mineralized drinking water.

The nutrient intake was assessed at four occasions: at the time of inclusion into the study; by the end of the adaptation period; by the end of the 6-week period without milk supplementation; by the end of the 6-week period with milk supplementation. Each assessment was made by using the diary method over 7 d, with weighing by the participants of all consumed foods. Furthermore, the recorded dietary data in the diary was validated by an interview of the participants by the certified dietitian involved in the study (M. B.-B.). The food nutrient content was obtained by computer analysis using the software Geni version 6.0 (Micro6®, Villers les Nancy, France). This software is based on the pre-recorded nutrient table from Répertoire Général des Aliments (Reference Favier, Ireland-Ripert, Toque and Feinberg37). No instruction aimed at reducing spontaneous intake to avoid weight gain was given to the participants.

The compliance was assessed by both interviewing the participants at the time of checking the data recorded in their diary and by counting the milk bottles which were not consumed.

Biochemical measurements

As previously reported(Reference Brandolini, Gueguen, Boirie, Rousset, Bertiere and Beaufrere38), calcium and magnesium were measured by colorimetry, sodium and potassium by indirect potentiometry with the use of specific electrodes, and creatinine by the Jaffe reaction (Roche Diagnostics, Meylan, France). Serum parathyroid hormone (PTH), osteocalcin, amino-terminal propeptide of type I procollagen (PINP) and carboxy terminal crosslinked telopeptide of type I collagen (CTX; Cross-laps) were measured by automated immunochemiluminescence on the Elecsys platform (Roche Diagnostics) as recently described(Reference Gascoin-Lachambre, Trivin, Brauner and Souberbielle39). For these four biochemical analyses the within- and between-run CV were lower than 5 %, whatever the concentration tested. The reference range of these assays was established in a group of fifty-nine premenopausal healthy women aged 35–48 years. All of them had regular menses associated with plasma follicle-stimulating hormone concentration below 12 mU/l. They received a single dose of 100 000 IU vitamin D3 1 week before the blood sampling. The reference ranges were 10–46 pg/ml, 13–32 ng/ml, 19–50 ng/ml and 700–3000 pmol/l for PTH, osteocalcin, PINP and C-telopeptide, respectively. Bone alkaline phosphatase (BAP) was measured by automated immunochemiluminescence on the Access II platform (Beckman-Coulter, Chaska, MN, USA). BAP within-run CV was 6·7 % at mean concentration of 13·2 μg/l and below 5 % at concentration above 25 μg/l. The reference range established in healthy premenopausal women was 4–15 μg/l. The serum level of 25-hydroxyvitamin D was measured by RIA (DiaSorin, Stillwater, MN, USA) as previously reported(Reference Hollis, Kamerud, Selvaag, Lorenz and Napoli40). Vitamin D insufficiency was defined as a serum level of 25-hydroxyvitamin D lower than 30 ng/l(Reference Dawson-Hughes, Heaney, Holick, Lips, Meunier and Vieth41). Serum insulin-like growth factor (IGF) I was measured by an immunoradiometric assay (IGF-I RIA-CT; Schering-Cis Bio, Gif sur Yvette, France) based on the use of two monoclonal antibodies directed toward different IGF I epitopes. In this method, bound IGF I is displaced from IGF binding protein by acidification. A large excess of IGF II is then added to the acid-treated serum to prevent reassociation of IGF I with its carrier proteins when buffer is added. The analytical properties of this assay were recently reported(Reference Gascoin-Lachambre, Trivin, Brauner and Souberbielle39). The normal range of serum IGF I in women aged 36–65 years was 77–247 ng/ml.

Indices of the renal reabsorption of either calcium (TRCaI, mmol/l glomerular filtration rate) or inorganic phosphate (TmPi/l, glomerular filtration rate) were calculated as previously described(Reference Walton and Bijvoet42, Reference Buchs, Rizzoli and Bonjour43) from calcium, inorganic phosphate and creatinine determinations in the plasma and urine samples collected in the fasting state at the end of the intervention periods. Likewise, the estimation of the net release of calcium from bone (BRI, mmol/mmol) was calculated from the ratio of calcium over creatinine urine concentration(Reference Buchs, Rizzoli and Bonjour43, Reference Bonjour, Philippe and Guelpa44). These three indices allow one to discriminate disturbances in calcium–phosphate metabolism that occur in various benign and malign hypercalcaemic diseases(Reference Buchs, Rizzoli and Bonjour43, Reference Bonjour, Philippe and Guelpa44).

Dual X-ray densitometry

aBMD of the lumbar spine (L2–L4) and femoral neck were measured by dual X-ray absorptiometry on a Hologic QDR 4500 osteodensitometer (Hologic, Massy, France). The determinations were made 3–5 weeks before the enrolment in order to exclude women with osteoporosis, i.e. with T-score ≤ − 2·5 according to the WHO definition(35). The reference range used to calculate T-score values was that provided by the osteodensitometer manufacturer.

Statistical analysis

The statistical power was deduced from the expected change in serum CTX that was a priori considered as the main end-point of the study. By using a crossover design, it was expected that a difference would be detected in serum CTX between periods with and without milk supplementation by 20 % with a power of 80 % and a two-sided α of 0·05. Taking into account a measured intra-individual CV of 10 %, the 20 % difference in serum CTX required a sample of twenty subjects in a crossover-designed study. Thirty subjects were eventually enrolled in order to secure a greater power to the study.

The results are expressed as means and standard deviations in all tables and means and their standard errors in the figure depicting the average of individual differences as expressed in percentage change between the two experimental periods. Paired Student's t test was employed to assess differences between the two periods. Bonferroni's correction was used for the four-biochemical bone remodelling variables, i.e. CTX, PINP, osteocalcin and BAP. P ≤ 0·05 was considered statistically significant.

Results

Baseline characteristics

None of the thirty enrolled women dropped out of the study. They had passed menopause for approximately 9 years (Table 1). Their anthropometric variables (standing height, body weight and BMI) were within the normal range determined in the French women population for that age (Table 1). The oestrogen-deficient status was expressed by the elevation of plasma follicle-stimulating hormone. As expected in non-oestrogen-substituted women at about 9 years from menopause, the osteodensitometric mean T-score values were in the low normal and slightly osteopaenic ranges for the femoral neck and lumbar spine, respectively (Table 1). The blood biochemical markers CTX, PINP, osteocalcin and BAP reflected on the average an increase in bone remodelling as compared to the premenopausal normal ranges (Table 2). All subjects had a serum level of 25-hydroxyvitamin D >20 ng/ml. The mean value of serum PTH was within the normal range (Table 2).

Table 1 Baseline characteristics of the thirty postmenopausal women

(Mean values and standard deviations)

aBMD, areal bone mineral density; FSH, follicle-stimulating hormone.

Table 2 Blood biochemical variables determined at the end of the 4-week adaptation period*

(Mean values and standard deviations)

CTX, crosslinked telopeptide of type I collagen; IGF, insulin-like growth factor; PINP, propeptide of type I procollagen; PTH, parathyroid hormone.

* For details of procedures, see Materials and methods.

Dietary changes during intervention

The semi-skimmed milk supplementation resulted in an increase in energy intake that was associated with a significant increase of 16 % in total protein intake as well as in the percentage of protein per energy intake (Table 3). Neither the carbohydrate nor lipid density were significantly altered by the semi-skimmed milk supplementation (Table 3). Calcium, inorganic phosphate, potassium and magnesium intakes significantly increased by 93, 38, 25 and 13 %, respectively, while sodium intake remained virtually constant during the two experimental periods of 6 weeks (Table 3).

Table 3 Nutritional variables during the period without and with milk supplementation*

(Mean values and standard deviations)

* For details of procedures, see Materials and methods.

P values are computed by paired t test between the period with and without milk supplementation.

Body weight and consequently BMI were not influenced by the semi-skimmed milk supplementation. In this regard, the 500 ml milk/d provided an additional intake of 962 kJ (230 kcal), 16 g proteins, 8 g lipids and 23 g glucides. The data recorded in the dietary diary indicates, as compared to the period without milk, a daily increase of 339 kJ (81 kcal), 10·6 g proteins, 0·1 g lipids, 10·5 g glucides. Thus, on the average, the participants reduced their spontaneous intake by 623 kJ (962 to 339 kJ; i.e. by 149 kcal (230 to 81 kcal)), 5·4 g proteins (16·0 to 10·6 g), 8 g lipids and 12·5 g glucides (23·0 to 10·5 g). This reduction and consequently mild increase in daily energy intake (less than 5 %) can explain why we were unable to detect a significant gain in body weight by the end of the period of milk supplementation.

Biochemical changes during intervention

Several variables related to bone metabolism were significantly influenced by the milk supplementation with a reduction in blood PTH, CTX, PINP and osteocalcin (Table 4). Neither BAP nor IGF I was statistically altered (Table 4). Figure 2 illustrates the percentage difference between the two experimental periods of these six blood variables. An additional statistical analysis by both paired t test and ANOVA for repeated measurements was made in order to test whether the order of the intervention may have influenced the results. This analysis did not provide evidence that the significant decrease observed in the whole cohort (groups A+B) for PTH, CTX, PINP and osteocalcin was influenced by the order of the 6-week intervention periods, with milk supplementation during the first and second period in group A and B, respectively (data not shown).

Table 4 Blood biochemical variables determined at the end of the 6-week period without and with milk supplementation*

(Mean values and standard deviations)

CTX, crosslinked telopeptide of type I collagen; IGF, insulin-like growth factor; PINP, propeptide of type I procollagen; PTH, parathyroid hormone.

* For details of procedures, see Materials and methods.

P values are computed by paired t test between the period with and without milk supplementation.

Fig. 2 Differences in percentage between the period without and with milk supplementation. Values are means with their standard errors depicted by vertical bars. Mean values were significantly different from zero: *P = 0·0054, 0·0010, 0·0092, 0·0014, for parathyroid hormone (PTH); crosslinked telopeptide of type I collagen (CTX), propeptide of type I procollagen (PINP) and osteocalcin (OC), respectively. The corresponding absolute values are presented in Table 4. BAP, bone alkaline phosphatase; IGF, insulin-like growth factor.

Of note is that the mean absolute values of PTH, CTX, PINP and osteocalcin by the end of the adaptation period during which the subjects consumed 250 ml milk/d were intermediary (Table 2) between those recorded by the end of the period without and with a milk supplementatin of 500 ml/d (Table 4).

Among the urinary variables, the 24 h urine excretion was significantly elevated for inorganic phosphate (+3·3 mmol/d, P = 0·019) and potassium (+12·1 mmol/d, P = 0·0109), but not for calcium (+0·14, P = 0·633) during the milk-supplemented period. Neither TRCaI nor TmPi was significantly modified by the intervention, nor BRI (Table 5).

Table 5 Calcium and inorganic phosphate fluxes, and urinary electrolyte excretion*

(Mean values and standard deviations)

BRI, net calcium bone resorption index; GFR, glomerular filtration rate; TmPi, tubular inorganic phosphate reabsorption capacity; TRCaI, renal tubular calcium reabsorption index.

* For details of procedures, see Materials and methods.

P values are computed by paired t test between the period with and without milk supplementation.

Discussion

There has been a renewed interest in non-pharmacological recommendation for attenuating bone loss in postmenopausal women. This stems from doubt raised by results obtained in large studies about adverse effects of hormonal replacement therapy with increased risk of CVD and breast cancer(Reference Rossouw, Anderson and Prentice12). Furthermore, none of the other pharmacological agents such as bisphosphonates, the selective oestrogens receptor modulator raloxifene, strontium ranelate and PTH is recommended by national and international drug regulatory authorities to be used in the primary prevention of postmenopausal osteoporosis; their use in primary prevention being limited to women at high risk of experiencing, in a relatively short time, fragility fractures. For these various reasons only supplements of calcium and vitamin D are often prescribed. However, their efficacy is limited, particularly because of the difficulty in maintaining a satisfactory compliance in postmenopausal women not at increased risk of osteoporosis(Reference Rossini, Bianchi and Di Munno22).

The present study indicates that milk supplementation given to postmenopausal women with mean age slightly below 60 years and aBMD values either normal in the femoral neck (T-score − 0·88) or at the upper limit of the osteopaenic range in the spine (T-score − 1·10)(35) results in bone remodelling inhibition. Without milk supplementation the average of the serum bone resorption marker CTX was above the premenopausal reference values. With milk supplementation, the 14 % fall in serum CTX was not only statistically significant but also appears to be biologically meaningful. Indeed, the mean absolute value of serum CTX was close to the upper limit of the reference range established from blood samples of healthy premenopausal women as determined in the same laboratory by one co-investigator of the present trial (J.-C. S.).

Other markers of bone remodelling that reflect bone formation such as PINP and osteocalcin fell significantly but somewhat less than the marker of bone resorption, while no variation was observed in serum BAP. Osteocalcin, PINP and BAP reflect different stages of the osteoblastogenesis, i.e. the phases of proliferation, matrix maturation and mineralization. The reason why BAP was not affected in contrast to previous studies with milk(Reference Heaney, McCarron and Dawson-Hughes45) or high calcium mineral water(Reference Meunier, Jenvrin, Munoz, de la Gueronniere, Garnero and Menz46) supplementation does not appear to be due to the cross-over study design. Indeed, BAP was not influenced whether milk supplemention was given during the first (group A) or the second (group B) period of 6 weeks.

Interestingly enough, the data are compatible with a milk dose response since the mean values of PTH, CTX, PINP and osteocalcin fell progressively down from no supplementation to 250 and 500 ml/d (Tables 2 and 4).

The pattern of biochemical markers of bone remodelling we observed recalls that recorded during the early phase of interventions using pharmaceutical anti-resorbing agents, such as oestrogens, bisphosphonate or raloxifene. It suggests that the foregoing reported milk intervention positively uncoupled the two processes of bone remodelling.

Overall, the present results are consistent with reported effects of calcium supplementation, taken either as isolated calcium salts, mineral water(Reference Boonen, Rizzoli and Meunier24, Reference Grados, Brazier and Kamel33, Reference Storm, Eslin and Porter47, Reference Fardellone, Brazier and Kamel48) or milk(Reference Heaney, McCarron and Dawson-Hughes45, Reference Palacios, Castelo-Branco and Cifuentes49), on bone remodelling markers of postmenopausal women. However, these trials were conducted in cohorts including, at least in part, older postmenopausal women who were therefore at higher risk of osteoporosis(Reference Boonen, Rizzoli and Meunier24, Reference Grados, Brazier and Kamel33, Reference Storm, Eslin and Porter47, Reference Fardellone, Brazier and Kamel48). Indeed, besides the decline in aBMD, advancing age is an additional independent factor increasing the risk of fragility fractures(35). Thus, for a given T-score of − 1·0, the estimated 10-year risk for experiencing a fragility fracture is twice as high at 70–75 than at 50–55 years of age(Reference Kanis, Johnell, Oden, Dawson, De Laet and Jonsson50). Therefore, in the clinical setting, the decision for prescribing pharmaceutical agents(Reference Kanis, Borgstrom, Zethraeus, Johnell, Oden and Jonsson4, Reference Kanis, Johnell and Oden51) should be determined not only by the osteodensitometry value(Reference Johnell, Kanis and Oden52) but also by the identification of risk factors among which age(35), previous fracture(Reference Kanis, Johnell and De Laet53) and BMI(Reference De Laet, Kanis and Oden3) have been clearly identified as of substantial importance in large-scale epidemiological studies.

The present study indicates that in relatively early postmenopausal years milk supplementation can efficiently slow down the rate of bone remodelling. The present observation sustains the notion that in postmenopausal women with femoral neck and lumbar spine aBMD values still within the normal range or in the upper part of the osteopaenic/low bone mass range(35), and without any major detectable risk factor, preventive measures for bone loss resulting from oestrogen deficiency should be centred on lifestyle factors(54). The present study brings biochemical support to this notion that is recommended by several national and international health institutions.

The inhibition of biochemical markers of bone remodelling probably resulted from the observed concomitant reduction in the serum level of PTH which, in turn, was probably mediated by the increased calcium intake. In addition, the milk-induced increment in protein intake may also have contributed to the reduction in the circulating level of PTH. Indeed, it has been demonstrated that independently of any change in calcium consumption, increasing protein intake enhances intestinal calcium absorption capacity while reducing the serum level of PTH(Reference Kerstetter, O'Brien and Insogna55). This effect could explain the fact that increasing both calcium and protein intakes can exert a positive impact on bone integrity. Furthermore, data suggest that these two nutrients may synergistically interact on calcium economy and bone metabolism(Reference Heaney56Reference Heaney, Rafferty and Dowell58). In keeping with this notion, a positive effect of milk basic protein on lumbar spine aBMD of healthy postmenopausal women was associated with a reduction in urinary bone resorption marker without concomitant decrease in serum osteocalcin(Reference Aoe, Koyama, Toba, Itabashi and Takada59).

All enrolled subjects remained compliant to the prescribed milk consumption. This maximal degree of both adherence and persistence during the 6-week period of milk supplementation reflects the good acceptability of this dairy product in this cohort of early postmenopausal women.

Several limitations of the reported trial have to be mentioned. A first limitation is the short time length of the study. It remains uncertain that both the reduced PTH level and bone turnover rate with greater inhibition in markers of bone resorption than formation will be maintained in the long term, eventually resulting in a substantial bone loss attenuation.

Second, the magnitude of the reduction in markers of bone resorption at the end of the milk supplementation was less than with therapeutic doses of strong inhibitors of bone resorption such as bisphosphonates(Reference Hannon and Eastell1, Reference Garnero60). However, it was close to that observed during the first months following the intervention onset with other inhibitors of bone resorption, such as low doses of oestrogens, raloxifene or strontium ranelate(Reference Lindsay, Gallagher, Kleerekoper and Pickar61Reference Meunier, Roux and Seeman63). Nevertheless, with these compounds the reduced risk of experiencing new vertebral fractures(Reference Rossouw, Anderson and Prentice12, Reference Ettinger, Black and Mitlak64, Reference Reginster, Minne and Sorensen65) was similar to that recorded under therapy with bisphosphonates such as alendronate or risedronate(Reference Reginster, Minne and Sorensen65, Reference Liberman, Weiss and Broll66).

Third, the good tolerability to the supplementation observed in the present cohort can be due in part to a biased selection of enrolled subjects who were volunteers for the study and therefore had no particular dislike for milk. Therefore, one may expect a reduced percentage of postmenopausal women ready to step in and then to adhere and persist to drink daily half a litre of semi-skimmed milk. Nevertheless, more varying regimens providing an equivalent amount of calcium and proteins obtained from other dairy products could exert a similar positive impact on bone metabolism.

Conclusion

A 6-week period of milk supplementation leading to a mean increase in calcium intake from 572 to 1105 mg/d and of protein intake from 68 to 79 g/d induced a significant decrease in several biochemical variables, a response compatible with a reduction of bone turnover. This nutritional approach, meant to alleviate the acceleration in bone remodelling, may be a valuable alternative to pharmaceutical therapy in postmenopausal women not at increased risk of osteoporosis.

Acknowledgements

We gratefully thank Mrs Paulette Rousset for efficiently contributing to a substantial part of the biochemical analysis. The study was funded by the Centre de Recherche et d'Information Nutritionnelles, Paris, France. M.-C. B. is a part-time employee of the Centre de Recherche et d'Information Nutritionnelles. None of the authors has potential conflict of interest relevant to the data reported in this paper. J.-P. B., M. B.-B., M.-C. B. and J.-C. S. were responsible for the conception of the study, data analysis and interpretation. M. B.-B., Y. B., F. M.-L. and V. B. were responsible for organizing, supervising all practical aspects of the study and for the data programming. J.-C. S. was responsible of the determinations of all bone and calcium metabolism-related biochemical blood and urine variables. J.-P. B. was responsible for writing the manuscript. All authors were responsible for critically revising the manuscript.

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Figure 0

Fig. 1 Experimental protocol: the crossover design was applied to thirty postmenopausal women randomized in two groups (Gr) either with or without milk supplementation (suppl.) during two periods of 6 weeks that were preceded by an adaptation period of 4 weeks. , Blood and urine samples were collected at the end of the adaptation phase and at the end of each of the two experimental periods.

Figure 1

Table 1 Baseline characteristics of the thirty postmenopausal women(Mean values and standard deviations)

Figure 2

Table 2 Blood biochemical variables determined at the end of the 4-week adaptation period*(Mean values and standard deviations)

Figure 3

Table 3 Nutritional variables during the period without and with milk supplementation*(Mean values and standard deviations)

Figure 4

Table 4 Blood biochemical variables determined at the end of the 6-week period without and with milk supplementation*(Mean values and standard deviations)

Figure 5

Fig. 2 Differences in percentage between the period without and with milk supplementation. Values are means with their standard errors depicted by vertical bars. Mean values were significantly different from zero: *P = 0·0054, 0·0010, 0·0092, 0·0014, for parathyroid hormone (PTH); crosslinked telopeptide of type I collagen (CTX), propeptide of type I procollagen (PINP) and osteocalcin (OC), respectively. The corresponding absolute values are presented in Table 4. BAP, bone alkaline phosphatase; IGF, insulin-like growth factor.

Figure 6

Table 5 Calcium and inorganic phosphate fluxes, and urinary electrolyte excretion*(Mean values and standard deviations)