Literature DB >> 20149904

Evidence for pleiotropic factors in genetics of the musculoskeletal system.

David Karasik1, Douglas P Kiel.   

Abstract

There are both theoretical and empirical underpinnings that provide evidence that the musculoskeletal system develops, functions, and ages as a whole. Thus, the risk of osteoporotic fracture can be viewed as a function of loading conditions and the ability of the bone to withstand the load. Both bone loss (osteoporosis) and muscle wasting (sarcopenia) are the two sides of the same coin, an involution of the musculoskeletal system. Skeletal loads are dominated by muscle action; both bone and muscle share environmental, endocrine and paracrine influences. Muscle also has an endocrine function by producing bioactive molecules, which can contribute to homeostatic regulation of both bone and muscle. It also becomes clear that bone and muscle share genetic determinants; therefore the consideration of pleiotropy is an important aspect in the study of the genetics of osteoporosis and sarcopenia. The aim of this review is to provide an additional evidence for existence of the tight genetic co-regulation of muscles and bones, starting early in development and still evident in aging. Recently, important papers were published, including those dealing with the cellular mechanisms and anatomic substrate of bone mechanosensitivity. Further evidence has emerged suggesting that the relationship between skeletal muscle and bone parameters extends beyond the general paradigm of bone responses to mechanical loading. We provide insights into several pathways and single genes, which apparently have a biologically plausible pleiotropic effect on both bones and muscles; the list is continuing to grow. Understanding the crosstalk between muscles and bones will translate into a conceptual framework aimed at studying the pleiotropic genetic relationships in the etiology of complex musculoskeletal disease. We believe that further progress in understanding the common genetic etiology of osteoporosis and sarcopenia will provide valuable insight into important biological underpinnings for both musculoskeletal conditions. This may translate into new approaches to reduce the burden of both conditions, which are prevalent in the elderly population. Copyright (c) 2010 Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Year:  2010        PMID: 20149904      PMCID: PMC4852133          DOI: 10.1016/j.bone.2010.01.382

Source DB:  PubMed          Journal:  Bone        ISSN: 1873-2763            Impact factor:   4.398


  191 in total

1.  Joint multipoint linkage analysis of multivariate qualitative and quantitative traits. I. Likelihood formulation and simulation results.

Authors:  J T Williams; P Van Eerdewegh; L Almasy; J Blangero
Journal:  Am J Hum Genet       Date:  1999-10       Impact factor: 11.025

Review 2.  Population screening in the age of genomic medicine.

Authors:  Muin J Khoury; Linda L McCabe; Edward R B McCabe
Journal:  N Engl J Med       Date:  2003-01-02       Impact factor: 91.245

3.  The Wnt co-receptor LRP5 is essential for skeletal mechanotransduction but not for the anabolic bone response to parathyroid hormone treatment.

Authors:  Kimihiko Sawakami; Alexander G Robling; Minrong Ai; Nathaniel D Pitner; Dawei Liu; Stuart J Warden; Jiliang Li; Peter Maye; David W Rowe; Randall L Duncan; Matthew L Warman; Charles H Turner
Journal:  J Biol Chem       Date:  2006-06-20       Impact factor: 5.157

4.  Mechanical effects on the skeleton: are there clinical implications?

Authors:  M R Forwood
Journal:  Osteoporos Int       Date:  2001       Impact factor: 4.507

5.  Partitioning of the L4-L5 dynamic moment into disc, ligamentous, and muscular components during lifting.

Authors:  S M McGill; R W Norman
Journal:  Spine (Phila Pa 1976)       Date:  1986-09       Impact factor: 3.468

6.  Bivariate whole genome linkage analysis for femoral neck geometric parameters and total body lean mass.

Authors:  Fei-Yan Deng; Peng Xiao; Shu-Feng Lei; Lei Zhang; Fang Yang; Zi-Hui Tang; Peng-Yuan Liu; Yong-Jun Liu; Robert R Recker; Hong-Wen Deng
Journal:  J Bone Miner Res       Date:  2007-06       Impact factor: 6.741

7.  Estrogen receptor beta polymorphisms are associated with bone mass in women and men: the Framingham Study.

Authors:  Amanda M Shearman; David Karasik; Kristen M Gruenthal; Serkalem Demissie; L Adrienne Cupples; David E Housman; Douglas P Kiel
Journal:  J Bone Miner Res       Date:  2003-12-22       Impact factor: 6.741

8.  Hip section modulus, a measure of bending resistance, is more strongly related to reported physical activity than BMD.

Authors:  S Kaptoge; N Dalzell; R W Jakes; N Wareham; N E Day; K T Khaw; T J Beck; N Loveridge; J Reeve
Journal:  Osteoporos Int       Date:  2003-09-02       Impact factor: 4.507

9.  C-type natriuretic peptide regulates endochondral bone growth through p38 MAP kinase-dependent and -independent pathways.

Authors:  Hanga Agoston; Sameena Khan; Claudine G James; J Ryan Gillespie; Rosa Serra; Lee-Anne Stanton; Frank Beier
Journal:  BMC Dev Biol       Date:  2007-03-20       Impact factor: 1.978

10.  A systems biology approach to the identification and analysis of transcriptional regulatory networks in osteocytes.

Authors:  Angela K Dean; Stephen E Harris; Ivo Kalajzic; Jianhua Ruan
Journal:  BMC Bioinformatics       Date:  2009-09-17       Impact factor: 3.169

View more
  43 in total

1.  Low skeletal muscle mass associates with low femoral neck strength, especially in older Korean women: the Fourth Korea National Health and Nutrition Examination Survey (KNHANES IV).

Authors:  B-J Kim; S H Ahn; H M Kim; S H Lee; J-M Koh
Journal:  Osteoporos Int       Date:  2014-11-13       Impact factor: 4.507

2.  Polymorphisms in Wnt signaling pathway genes are associated with peak bone mineral density, lean mass, and fat mass in Chinese male nuclear families.

Authors:  Y Zheng; C Wang; H Zhang; C Shao; L-H Gao; S-S Li; W-J Yu; J-W He; W-Z Fu; Y-Q Hu; M Li; Y-J Liu; Z-L Zhang
Journal:  Osteoporos Int       Date:  2016-01-05       Impact factor: 4.507

3.  Risk of Nonspine Fractures in Older Adults with Sarcopenia, Low Bone Mass, or Both.

Authors:  Didier Chalhoub; Peggy M Cawthon; Kristine E Ensrud; Marcia L Stefanick; Deborah M Kado; Robert Boudreau; Susan Greenspan; Anne B Newman; Joseph Zmuda; Eric S Orwoll; Jane A Cauley
Journal:  J Am Geriatr Soc       Date:  2015-08-27       Impact factor: 5.562

4.  New Clues that May Link Osteoporosis to the Circulating Lipid Profile.

Authors:  Catalina Poiana; Valentin Radoi; Mara Carsote; John P Bilezikian
Journal:  Bone Res       Date:  2013-09-25       Impact factor: 13.567

Review 5.  Muscle-bone interactions: basic and clinical aspects.

Authors:  Luisella Cianferotti; Maria Luisa Brandi
Journal:  Endocrine       Date:  2013-08-29       Impact factor: 3.633

Review 6.  HDL cholesterol and bone mineral density: is there a genetic link?

Authors:  Cheryl L Ackert-Bicknell
Journal:  Bone       Date:  2012-02       Impact factor: 4.398

7.  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

8.  Skeletal muscle secreted factors prevent glucocorticoid-induced osteocyte apoptosis through activation of β-catenin.

Authors:  K Jähn; N Lara-Castillo; L Brotto; C L Mo; M L Johnson; M Brotto; L F Bonewald
Journal:  Eur Cell Mater       Date:  2012-09-12       Impact factor: 3.942

Review 9.  The role of estrogen and androgen receptors in bone health and disease.

Authors:  Stavros C Manolagas; Charles A O'Brien; Maria Almeida
Journal:  Nat Rev Endocrinol       Date:  2013-09-17       Impact factor: 43.330

10.  Heritability of Thoracic Spine Curvature and Genetic Correlations With Other Spine Traits: The Framingham Study.

Authors:  Michelle S Yau; Serkalem Demissie; Yanhua Zhou; Dennis E Anderson; Amanda L Lorbergs; Douglas P Kiel; Brett T Allaire; Laiji Yang; L Adrienne Cupples; Thomas G Travison; Mary L Bouxsein; David Karasik; Elizabeth J Samelson
Journal:  J Bone Miner Res       Date:  2016-09-06       Impact factor: 6.741

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.