Literature DB >> 16425178

Who's afraid of the big bad Wolff?: "Wolff's law" and bone functional adaptation.

Christopher Ruff1, Brigitte Holt, Erik Trinkaus.   

Abstract

"Wolff's law" is a concept that has sometimes been misrepresented, and frequently misunderstood, in the anthropological literature. Although it was originally formulated in a strict mathematical sense that has since been discredited, the more general concept of "bone functional adaptation" to mechanical loading (a designation that should probably replace "Wolff's law") is supported by much experimental and observational data. Objections raised to earlier studies of bone functional adaptation have largely been addressed by more recent and better-controlled studies. While the bone morphological response to mechanical strains is reduced in adults relative to juveniles, claims that adult morphology reflects only juvenile loadings are greatly exaggerated. Similarly, while there are important genetic influences on bone development and on the nature of bone's response to mechanical loading, variations in loadings themselves are equally if not more important in determining variations in morphology, especially in comparisons between closely related individuals or species. The correspondence between bone strain patterns and bone structure is variable, depending on skeletal location and the general mechanical environment (e.g., distal vs. proximal limb elements, cursorial vs. noncursorial animals), so that mechanical/behavioral inferences based on structure alone should be limited to corresponding skeletal regions and animals with similar basic mechanical designs. Within such comparisons, traditional geometric parameters (such as second moments of area and section moduli) still give the best available estimates of in vivo mechanical competence. Thus, when employed with appropriate caution, these features may be used to reconstruct mechanical loadings and behavioral differences within and between past populations. Copyright 2006 Wiley-Liss, Inc.

Mesh:

Year:  2006        PMID: 16425178     DOI: 10.1002/ajpa.20371

Source DB:  PubMed          Journal:  Am J Phys Anthropol        ISSN: 0002-9483            Impact factor:   2.868


  119 in total

1.  Methodological considerations for analyzing trabecular architecture: an example from the primate hand.

Authors:  Tracy L Kivell; Matthew M Skinner; Richard Lazenby; Jean-Jacques Hublin
Journal:  J Anat       Date:  2010-10-26       Impact factor: 2.610

Review 2.  Functional interactions among morphologic and tissue quality traits define bone quality.

Authors:  Karl J Jepsen
Journal:  Clin Orthop Relat Res       Date:  2011-08       Impact factor: 4.176

3.  Methods and theory in bone modeling drift: comparing spatial analyses of primary bone distributions in the human humerus.

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Journal:  J Anat       Date:  2015-10-15       Impact factor: 2.610

Review 4.  Extending DXA beyond bone mineral density: understanding hip structure analysis.

Authors:  Thomas J Beck
Journal:  Curr Osteoporos Rep       Date:  2007-06       Impact factor: 5.096

5.  A three-dimensional microcomputed tomographic study of site-specific variation in trabecular microarchitecture in the human second metacarpal.

Authors:  Richard A Lazenby; Sarah Angus; David M L Cooper; Benedikt Hallgrímsson
Journal:  J Anat       Date:  2008-12       Impact factor: 2.610

6.  Apparent density patterns in subchondral bone of the sloth and anteater forelimb.

Authors:  Biren A Patel; Kristian J Carlson
Journal:  Biol Lett       Date:  2008-10-23       Impact factor: 3.703

7.  Development of the fetal ilium--challenging concepts of bipedality.

Authors:  Craig A Cunningham; Sue M Black
Journal:  J Anat       Date:  2008-11-12       Impact factor: 2.610

8.  Targeted exercises against hip fragility.

Authors:  R Nikander; P Kannus; P Dastidar; M Hannula; L Harrison; T Cervinka; N G Narra; R Aktour; T Arola; H Eskola; S Soimakallio; A Heinonen; J Hyttinen; H Sievänen
Journal:  Osteoporos Int       Date:  2008-11-11       Impact factor: 4.507

Review 9.  Systems analysis of bone.

Authors:  Karl J Jepsen
Journal:  Wiley Interdiscip Rev Syst Biol Med       Date:  2009 Jul-Aug

Review 10.  Genetics of aging bone.

Authors:  Douglas J Adams; David W Rowe; Cheryl L Ackert-Bicknell
Journal:  Mamm Genome       Date:  2016-06-06       Impact factor: 2.957

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