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      MSTN is a key mediator for low-intensity pulsed ultrasound preventing bone loss in hindlimb-suspended rats

      , , , , , ,
      Bone
      Elsevier BV

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          Muscles, exercise and obesity: skeletal muscle as a secretory organ.

          During the past decade, skeletal muscle has been identified as a secretory organ. Accordingly, we have suggested that cytokines and other peptides that are produced, expressed and released by muscle fibres and exert either autocrine, paracrine or endocrine effects should be classified as myokines. The finding that the muscle secretome consists of several hundred secreted peptides provides a conceptual basis and a whole new paradigm for understanding how muscles communicate with other organs, such as adipose tissue, liver, pancreas, bones and brain. However, some myokines exert their effects within the muscle itself. Thus, myostatin, LIF, IL-6 and IL-7 are involved in muscle hypertrophy and myogenesis, whereas BDNF and IL-6 are involved in AMPK-mediated fat oxidation. IL-6 also appears to have systemic effects on the liver, adipose tissue and the immune system, and mediates crosstalk between intestinal L cells and pancreatic islets. Other myokines include the osteogenic factors IGF-1 and FGF-2; FSTL-1, which improves the endothelial function of the vascular system; and the PGC-1α-dependent myokine irisin, which drives brown-fat-like development. Studies in the past few years suggest the existence of yet unidentified factors, secreted from muscle cells, which may influence cancer cell growth and pancreas function. Many proteins produced by skeletal muscle are dependent upon contraction; therefore, physical inactivity probably leads to an altered myokine response, which could provide a potential mechanism for the association between sedentary behaviour and many chronic diseases.
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            Clinician’s Guide to Prevention and Treatment of Osteoporosis

            The Clinician’s Guide to Prevention and Treatment of Osteoporosis was developed by an expert committee of the National Osteoporosis Foundation (NOF) in collaboration with a multispecialty council of medical experts in the field of bone health convened by NOF. Readers are urged to consult current prescribing information on any drug, device, or procedure discussed in this publication.
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              Diagnosis of osteoporosis and assessment of fracture risk.

              John Kanis (2002)
              The diagnosis of osteoporosis centres on the assessment of bone mineral density (BMD). Osteoporosis is defined as a BMD 2.5 SD or more below the average value for premenopausal women (T score < -2.5 SD). Severe osteoporosis denotes osteoporosis in the presence of one or more fragility fractures. The same absolute value for BMD used in women can be used in men. The recommended site for diagnosis is the proximal femur with dual energy X-ray absorptiometry (DXA). Other sites and validated techniques, however, can be used for fracture prediction. Although hip fracture prediction with BMD alone is at least as good as blood pressure readings to predict stroke, the predictive value of BMD can be enhanced by use of other factors, such as biochemical indices of bone resorption and clinical risk factors. Clinical risk factors that contribute to fracture risk independently of BMD include age, previous fragility fracture, premature menopause, a family history of hip fracture, and the use of oral corticosteroids. In the absence of validated population screening strategies, a case finding strategy is recommended based on the finding of risk factors. Treatment should be considered in individuals subsequently shown to have a high fracture risk. Because of the many techniques available for fracture risk assessment, the 10-year probability of fracture is the desirable measurement to determine intervention thresholds. Many treatments can be provided cost-effectively to men and women if hip fracture probability over 10 years ranges from 2% to 10% dependent on age.
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                Author and article information

                Journal
                Bone
                Bone
                Elsevier BV
                87563282
                February 2021
                February 2021
                : 143
                : 115610
                Article
                10.1016/j.bone.2020.115610
                f6373d03-92af-45ac-9006-c1bd6869d6e2
                © 2021

                https://www.elsevier.com/tdm/userlicense/1.0/

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