Literature DB >> 3688455

Bone "mass" and the "mechanostat": a proposal.

H M Frost1.   

Abstract

The observed fit of bone mass to a healthy animal's typical mechanical usage indicates some mechanism or mechanisms monitor that usage and control the three longitudinal growth, bone modeling, and BMU-based remodeling activities that directly determine bone mass. That mechanism could be named a mechanostat. Accumulated evidence suggests it includes the bone itself, plus mechanisms that transform its mechanical usage into appropriate signals, plus other mechanisms that detect those signals and then direct the above three biologic activities. In vivo studies have shown that bone strains in or above the 1500-3000 microstrain range cause bone modelling to increase cortical bone mass, while strains below the 100-300 microstrain range release BMU-based remodeling which then removes existing cortical-endosteal and trabecular bone. That arrangement provides a dual system in which bone modeling would adapt bone mass to gross overloading, while BMU-based remodeling would adapt bone mass to gross underloading, and the above strain ranges would be the approximate "setpoints" of those responses. The anatomical distribution of those mechanical usage effects are well known. If circulating agents or disease changed the effective setpoints of those responses their bone mass effects should copy the anatomical distribution of the mechanical usage effects. That seems to be the case for many agents and diseases, and several examples are discussed, including postmenopausal osteoporosis, fluoride effects, bone loss in orbit, and osteogenesis imperfecta. The mechanostat proposal is a seminal idea which fits diverse evidence but it requires critique and experimental study.

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Year:  1987        PMID: 3688455     DOI: 10.1002/ar.1092190104

Source DB:  PubMed          Journal:  Anat Rec        ISSN: 0003-276X


  375 in total

1.  Bone mineral density and serum testosterone in chronically trained, high mileage 40-55 year old male runners.

Authors:  K J MacKelvie; J E Taunton; H A McKay; K M Khan
Journal:  Br J Sports Med       Date:  2000-08       Impact factor: 13.800

2.  Changes in proximal femur bone properties following ovariectomy and their association with resistance to fracture.

Authors:  Hélder Fonseca; Daniel Moreira-Gonçalves; Mário Vaz; Maria Helena Fernandes; Rita Ferreira; Francisco Amado; Maria Paula Mota; José Alberto Duarte
Journal:  J Bone Miner Metab       Date:  2011-09-21       Impact factor: 2.626

3.  Efficacy and harms of nasal calcitonin in improving bone density in young patients with inflammatory bowel disease: a randomized, placebo-controlled, double-blind trial.

Authors:  Helen M Pappa; Tracee M Saslowsky; Rajna Filip-Dhima; Diane DiFabio; Hajar Hassani Lahsinoui; Apurva Akkad; Richard J Grand; Catherine M Gordon
Journal:  Am J Gastroenterol       Date:  2011-04-26       Impact factor: 10.864

4.  Intra-uterine long bone growth in small-for-gestational-age infants.

Authors:  J Palacios; S Rodríguez; J I Rodríguez
Journal:  Eur J Pediatr       Date:  1992-04       Impact factor: 3.183

5.  The effect of swimming on bone modeling and composition in young adult rats.

Authors:  A Swissa-Sivan; R Azoury; M Statter; I Leichter; A Nyska; M Nyska; J Menczel; S Samueloff
Journal:  Calcif Tissue Int       Date:  1990-09       Impact factor: 4.333

6.  Comparisons of trabecular and cortical bone in late adolescent black and white females.

Authors:  Norman K Pollock; Emma M Laing; Ruth G Taylor; Clifton A Baile; Mark W Hamrick; Daniel B Hall; Richard D Lewis
Journal:  J Bone Miner Metab       Date:  2010-05-11       Impact factor: 2.626

7.  Bone and fat relationships in postadolescent black females: a pQCT study.

Authors:  N K Pollock; E M Laing; M W Hamrick; C A Baile; D B Hall; R D Lewis
Journal:  Osteoporos Int       Date:  2010-05-07       Impact factor: 4.507

Review 8.  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

Review 9.  Combining geometric morphometrics and functional simulation: an emerging toolkit for virtual functional analyses.

Authors:  Paul O'Higgins; Samuel N Cobb; Laura C Fitton; Flora Gröning; Roger Phillips; Jia Liu; Michael J Fagan
Journal:  J Anat       Date:  2010-09-29       Impact factor: 2.610

10.  Bone mineral density in children and adolescents with perinatal HIV infection.

Authors:  Linda A DiMeglio; JiaJia Wang; George K Siberry; Tracie L Miller; Mitchell E Geffner; Rohan Hazra; William Borkowsky; Janet S Chen; Laurie Dooley; Kunjal Patel; Russell B van Dyke; Roger A Fielding; Yared Gurmu; Denise L Jacobson
Journal:  AIDS       Date:  2013-01-14       Impact factor: 4.177

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