Literature DB >> 15850088

Comparison of tail-suspension and sciatic nerve crush on the musculoskeletal system in young-adult mice.

A M Hanson1, V L Ferguson, S J Simske, C M A Cannon, l S Stodieck.   

Abstract

Musculoskeletal unloading and disuse result in significant muscle and bone loss. These phenomena can be modeled using sciatic nerve crush or tail-suspension. Mature animals eliminate the complication of growth superimposed on bone and muscle loss. In the current study, young-adult (12-week old male) C57BL/6J mice were subjected to sciatic nerve crush (NC; n = 9) or tail-suspension (TS; n = 9) for 14 days, with a normal ambulatory control (n = 10). The soleus, gastrocnemius, and EDL muscles were collected and weighed at sacrifice. Femurs were analyzed in three-point bending for stiffness, elastic force and maximum force. Muscle masses in tail suspended mice were reduced by 41.9% (p < 0.001), 17.5% (p < 0.001), and 9.1% (N.S.) for the soleus, gastrocnemius, and EDL, respectively. In NC mice, muscle masses were reduced by 18.6% (p = 0.004), 37.2% (p < 0.001), and 22.5% (p = 0.003). Femur stiffness, elastic and maximum forces were reduced by 20.9% (p = 0.014), 14.7% (N.S.), and 11.6% (N.S.) in TS, compared to NC where masses were reduced by 15.5% (p = 0.022), 0.2% (N.S.) and 11.2% (N.S.) in the crushed leg compared to the contralateral control. NC resulted in a greater reduction of muscle mass in the gastrocnemius and EDL muscle; whereas tail-suspension had a greater effect on the soleus. Tail-suspension had the greatest effect on bone mechanical properties. When comparing these results to actual spaceflight data, it appears as though TS most closely models muscle loss, and NC most closely models changes in bone mechanical properties. These unloading models have tissue-specific effects that impact their applications for musculoskeletal research.

Entities:  

Keywords:  Non-programmatic

Mesh:

Year:  2005        PMID: 15850088

Source DB:  PubMed          Journal:  Biomed Sci Instrum        ISSN: 0067-8856


  8 in total

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Authors:  S A Novotny; G L Warren; A S Lin; R E Guldberg; K A Baltgalvis; D A Lowe
Journal:  J Musculoskelet Neuronal Interact       Date:  2012-03       Impact factor: 2.041

2.  Interdependence of muscle atrophy and bone loss induced by mechanical unloading.

Authors:  Shane A Lloyd; Charles H Lang; Yue Zhang; Emmanuel M Paul; Lacee J Laufenberg; Gregory S Lewis; Henry J Donahue
Journal:  J Bone Miner Res       Date:  2014       Impact factor: 6.741

3.  Seven days of muscle re-loading and voluntary wheel running following hindlimb suspension in mice restores running performance, muscle morphology and metrics of fatigue but not muscle strength.

Authors:  Andrea M Hanson; Louis S Stodieck; Cara M A Cannon; Steven J Simske; Virginia L Ferguson
Journal:  J Muscle Res Cell Motil       Date:  2010-07-15       Impact factor: 2.698

4.  Contribution of mechanical unloading to trabecular bone loss following non-invasive knee injury in mice.

Authors:  Matthew J Anderson; Sindi Diko; Leslie M Baehr; Keith Baar; Sue C Bodine; Blaine A Christiansen
Journal:  J Orthop Res       Date:  2016-02-10       Impact factor: 3.494

5.  Transient peak-strain matching partially recovers the age-impaired mechanoadaptive cortical bone response.

Authors:  Behzad Javaheri; Alessandra Carriero; Maria Wood; Roberto De Souza; Peter D Lee; Sandra Shefelbine; Andrew A Pitsillides
Journal:  Sci Rep       Date:  2018-04-27       Impact factor: 4.379

Review 6.  Aging and Mechanoadaptive Responsiveness of Bone.

Authors:  Behzad Javaheri; Andrew A Pitsillides
Journal:  Curr Osteoporos Rep       Date:  2019-12       Impact factor: 5.163

7.  Age and Sex Differences in Load-Induced Tibial Cortical Bone Surface Strain Maps.

Authors:  Alessandra Carriero; Behzad Javaheri; Neda Bassir Kazeruni; Andrew A Pitsillides; Sandra J Shefelbine
Journal:  JBMR Plus       Date:  2021-02-16

8.  Simulated space radiation sensitizes bone but not muscle to the catabolic effects of mechanical unloading.

Authors:  Andrew R Krause; Toni L Speacht; Yue Zhang; Charles H Lang; Henry J Donahue
Journal:  PLoS One       Date:  2017-08-02       Impact factor: 3.240

  8 in total

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