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J Appl Physiol 100: 1441-1442, 2006; doi:10.1152/japplphysiol.00038.2006
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INVITED EDITORIAL

Breaking the rules for bone adaptation to mechanical loading

Stuart J. Warden

Department of Physical Therapy
School of Health and Rehabilitation Sciences
Indiana University
Indianapolis, Indiana
e-mail: stwarden{at}iupui.edu

The ability of bone to respond to mechanical stimuli has been known for over a century; however, it has only been in the past several decades that great gains have been made in terms of understanding the factors that influence this response. For instance, we now know that 1) bone preferentially responds to dynamic rather than static stimuli, 2) only short durations of loading are necessary to initiate an adaptive response, and 3) bone cells accommodate to customary mechanical loading environments (5). Applying these so-called "rules" for bone adaptation to mechanical loading, scientists and clinicians have been able to predict with some certainty the bone response that may be generated with a particular loading or exercise regimen (7). In particular, they have been able to utilize the principle of site specificity.

The adaptive response of bone to mechanical loading is highly site specific. This is clearly evident on the whole bone (organ) level, with only the bones that are actually loaded undergoing adaptation. A clear example of this is in racquet-sport players, wherein the playing or racquet arm has significantly greater bone mass and size than the contralateral, nonplaying arm (1). However, the site-specific nature of bone adaptation to mechanical loading can be localized even further than to the individual bone level. Bone experiences internal strain when mechanically loaded. From an engineering standpoint, strain refers to the change in length of a bone when load is applied. Although it is a unitless value, because it is small for bone it is often expressed in terms of microstrain (µ{epsilon}). As long bones are curved, they bend when axially loaded. This results in exposure of different tissue-level regions within the bone cross section to different levels of microstrain. Only those regions within the individual loaded bone that experience sufficient microstrain adapt. This has been demonstrated most evidently using the rodent ulna axial compression model, wherein tissue-level bone adaptation closely matches the tissue-level microstrain distribution (8).

The site-specific depositing of new bone is functionally important. It adds new bone and increases bone strength where it is needed most, in the direction of loading, while not overtly increasing the overall weight of the bone. However, in this issue of the Journal of Applied Physiology, Zhang et al. (11) provide evidence that the site-specific response of bone to mechanical loading may not be so simplistic. Applying low-level, compressive loading to the proximal tibial epiphysis of mice, they induced bone adaptation at a distant, nonloaded site (4-mm distal on the periosteal surface of the tibial diaphysis). That is, they found mechanical loading to stimulate bone formation at a site distant from the site of loading and distant from a site of significant microstrain. Thus their data provide evidence for potential non-site-specific and non-strain-dependent bone adaptation in response to mechanical loading.

As with most provocative, novel studies, the work of Zhang et al. (11) generates many more questions than answers. The first and most obvious question is how can load applied to one site induce bone adaptation at a site that is apparently not experiencing any appreciable load or microstrain? An answer to this question was theorized by Zhang et al., and it may lie in how mechanical signals applied to the skeleton are converted into a bone cell response: a process referred to as mechanotransduction. Bone is a porous tissue consisting of a fluid phase, a solid matrix, and cells. It is a common belief that mechanotransduction in the skeleton involves the movement of the fluid phase in relation to the solid matrix, which subsequently stimulates "detector" cells and triggers a cascade of adaptive molecular events (2). It is plausible that the epiphyseal loading introduced by Zhang et al. (11) resulted in intracortical fluid flow via load-induced alterations in intramedullary pressure (Fig. 1). This is an explanatory mechanism that the authors are actively exploring (10).


Figure 1
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Fig. 1. Schematic of the potential mechanism for non-site-specific bone adaptation to epiphyseal loading. When low-magnitude, compressive mechanical load is applied to the epiphyseal region (A), it theoretically alters pressure within the intramedullary cavity (B). This in turn may influence intracortical fluid flow (C) and result in the subsequent stimulation of receptive bone cells embedded within the matrix (D).

 
The second question to ask is what is the effect of epiphyseal loading on both the loaded site and even more distant sites than the one assessed? Zhang et al. (11) report that epiphyseal loading stimulated periosteal (cortical) bone adaptation at a site 4-mm distant to the loading site. Based on their previous study loading the proximal ulna (10), one would expect that loading of the proximal tibia also generated localized cortical and trabecular bone adaptation at the loading site (epiphysis) and that this response was not related to some form of regional acceleratory phenomenon (trauma). Similarly, if load-induced alteration in intramedullary pressure is the mechanism for the adaptive response observed by Zhang et al. (11), one may expect adaptation to also occur at even more distant sites as the induced pressure change is propagated throughout the entire intramedullary cavity. Indeed, preliminary evidence indicates that this may be the case (12).

The third question to ask is why does the apparent non-site-specific bone adaptation to epiphyseal loading exhibit an inverse relationship to increasing loading frequency? Zhang et al. (11) found bone adaptation to be greatest at a loading frequency of 5 Hz, less significant at 10 Hz, and nonexistent at 15 Hz. This finding contravenes those of conventional loading studies that consistently show a positive relationship between loading frequency and bone adaptation, up to a threshold level (4, 9). The proposed explanation for these latter findings is that fluid flow rates increase with increases in loading frequency, resulting in greater cellular stimulation and a greater adaptive response (9). If load-driven fluid flow is the mechanism for the adaptive response observed by Zhang et al. (11), one may expect their non-site-specific bone adaptation to also increase with increasing frequency.

The fourth question to ask is whether the non-site-specific bone adaptation to epiphyseal loading is in fact strain (or load) dependent. Zhang et al. explored the osteogenic potential of one load magnitude (0.5 N) applied to the tibial epiphysis, which engendered diaphyseal microstrain in the vicinity of 13 µ{epsilon}. However, they also showed that tibial diaphyseal microstrain increased linearly with load magnitude applied to the epiphysis. Given that bone adaptation increases relatively linearly with increases in strain beyond a strain threshold (3, 6), it would be interesting to explore whether the bone adaptation to epiphyseal loading is load dependent. Greater load theoretically should enhance cellular stimulation due to larger alterations in intramedullary pressure and intracortical fluid flow.

These four questions, as well as others, deserve future consideration. In the meantime, Zhang et al. (11) should be congratulated on contributing a thought-provoking and novel addition to the bone physiology literature. Only time (and further research) will tell whether their findings redefine the rules for bone adaptation to mechanical loading and whether their novel loading approach develops into a unique intervention tool that has clinical utility in the treatment of bone disorders such as osteoporosis.

REFERENCES

  1. Bass SL, Saxon L, Daly RM, Turner CH, Robling AG, Seeman E, and Stuckey S. The effect of mechanical loading on the size and shape of bone in pre-, peri-, and postpubertal girls: a study in tennis players. J Bone Miner Res 17: 2274–2280, 2002.[CrossRef][Web of Science][Medline]
  2. Duncan RL and Turner CH. Mechanotransduction and the functional response of bone to mechanical strain. Calcif Tissue Int 57: 344–358, 1995.[CrossRef][Web of Science][Medline]
  3. Hsieh YF, Robling AG, Ambrosius WT, Burr DB, and Turner CH. Mechanical loading of diaphyseal bone in vivo: the strain threshold for an osteogenic response varies with location. J Bone Miner Res 16: 2291–2297, 2001.[CrossRef][Web of Science][Medline]
  4. Hsieh YF and Turner CH. Effects of loading frequency on mechanically induced bone formation. J Bone Miner Res 16: 918–924, 2001.[CrossRef][Web of Science][Medline]
  5. Turner CH. Three rules for bone adaptation to mechanical stimuli. Bone 23: 399–407, 1998.[Medline]
  6. Turner CH, Forwood MR, Rho JY, and Yoshikawa T. Mechanical loading thresholds for lamellar and woven bone formation. J Bone Miner Res 9: 87–97, 1994.[Web of Science][Medline]
  7. Warden SJ, Fuchs RK, and Turner CH. Steps for targeting exercise towards the skeleton to increase bone strength. Eura Medicophys 40: 223–232, 2004.[Medline]
  8. Warden SJ, Hurst JA, Sanders MS, Turner CH, Burr DB, and Li J. Bone adaptation to a mechanical loading program significantly increases skeletal fatigue resistance. J Bone Miner Res 20: 809–816, 2005.[CrossRef][Web of Science][Medline]
  9. Warden SJ and Turner CH. Mechanotransduction in cortical bone is most efficient at loading frequencies of 5–10 Hz. Bone 34: 261–270, 2004.[Medline]
  10. Yokota H and Tanaka SM. Osteogenic potentials with joint-loading modality. J Bone Miner Metab 23: 302–308, 2005.[CrossRef][Web of Science][Medline]
  11. Zhang P, Tanaka SM, Jiang H, Su M, and Yokota H. Diaphyseal bone formation in murine tibiae in response to knee loading. J Appl Physiol 100: 1452–1459, 2006.[Abstract/Free Full Text]
  12. Zhang P, Tanaka SM, Jiang H, Su M, and Yokota H. Loading frequency-dependent enhancement of bone formation in mouse tibia with knee-loading modality. J Bone Miner Res 20, Suppl 1: S134–S135, 2005.



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