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At least 1,063 records · Page 59Linked to original sources
PubMed2003

Positive regulation of endochondral cartilage growth by perichondrial and periosteal calcitonin.

Our previous studies showed that during the embryonic development of avian long bones, growth of the cartilaginous component is regulated by multiple factors secreted by the surrounding perichondrium (PC) and periosteum (PO). The activities of these factors--which include both positive and negative regulators--can be detected in conditioned media from PC and PO cell cultures. In the present study, we have obtained evidence suggesting that a positive regulator is the peptide hormone calcitonin (CT). By mass spectrometry of conditioned media, one of the components has a molecular mass of 3.4 kDa, the size of chicken CT. By RT-PCR the tissue and cell cultures contain mRNA for CT, and by immunohistochemistry the cells contain the protein. That the protein is normally secreted is suggested by further immunohistochemical analyses, which show that cells treated with monensin, a compound that blocks exocytosis, contain elevated intracellular CT. Functionally, the addition of CT to organ cultures of long bone rudiments effects increased growth in a manner similar to that of the PC- and PO-conditioned media. Taken together, these data suggest that secretion of CT by the PC and PO effects, in a paracrine manner, positive stimulation of growth in the underlying cartilage.

Animals↗
PubMed2003

Finite element prediction of endosteal and periosteal bone remodelling in the turkey ulna: effect of remodelling signal and dead-zone definition.

Bone remodelling is the adaptation of bone mass in response to localized changes in loading conditions. The nature of the mechanical signal governing remodelling, however, remains the subject of continued investigation. The aims of this study were to use an iterative finite element (FE) bone remodelling technique to explore the effect of different remodelling signals in the prediction of bone remodelling behaviour. A finite element model of the turkey ulna, following that of Brown et al., was analysed using the ABAQUS package. The model was validated against the static predictions of the Brown et al. study. A bone remodelling technique, based on swelling algorithms given by Taylor and Clift, was then applied to predict the dramatic change in loading conditions imposed. The resulting changes in FE mid-shaft bone geometry were compared with the remodelling observed experimentally and showed good agreement. The tensile principal stress was found to be the best remodelling signal under the imposed conditions. Localized sensitivities in the remodelling patterns were found, however, and the definition of the dead zone was modified as a result. Remodelling with the new dead-zone definition showed that both the tensile principal stress and the tensile principal strain produced the remodelling patterns that agreed most closely with experiment.

Algorithms↗