The DOI matches its Crossref record; 82 of the 82 references it cites were found in a registry or an index.
Bone modeling and remodeling: potential as therapeutic targets for the treatment of osteoporosis
Open accessAbstract
The adult skeleton is renewed by remodeling throughout life. Bone remodeling is a process where osteoclasts and osteoblasts work sequentially in the same bone remodeling unit. After the attainment of peak bone mass, bone remodeling is balanced and bone mass is stable for one or two decades until age-related bone loss begins. Age-related bone loss is caused by increases in resorptive activity and reduced bone formation. The relative importance of cortical remodeling increases with age as cancellous bone is lost and remodeling activity in both compartments increases. Bone modeling describes the process whereby bones are shaped or reshaped by the independent action of osteoblast and osteoclasts. The activities of osteoblasts and osteoclasts are not necessarily coupled anatomically or temporally. Bone modeling defines skeletal development and growth but continues throughout life. Modeling-based bone formation contributes to the periosteal expansion, just as remodeling-based resorption is responsible for the medullary expansion seen at the long bones with aging. Existing and upcoming treatments affect remodeling as well as modeling. Teriparatide stimulates bone formation, 70% of which is remodeling based and 20–30% is modeling based. The vast majority of modeling represents overflow from remodeling units rather than de novo modeling. Denosumab inhibits bone remodeling but is permissive for modeling at cortex. Odanacatib inhibits bone resorption by inhibiting cathepsin K activity, whereas modeling-based bone formation is stimulated at periosteal surfaces. Inhibition of sclerostin stimulates bone formation and histomorphometric analysis demonstrated that bone formation is predominantly modeling based. The bone-mass response to some osteoporosis treatments in humans certainly suggests that nonremodeling mechanisms contribute to this response and bone modeling may be such a mechanism. To date, this has only been demonstrated for teriparatide, however, it is clear that rediscovering a phenomenon that was first observed more half a century ago will have an important impact on our understanding of how new antifracture treatments work.
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Neer, R. M., Arnaud, C. D., Zanchetta, J. R., Prince, R., Gaich, G. A., Reginster, J.-Y., Hodsman, A. B., Eriksen, E. F., Ish-Shalom, S., Genant, H. K., et al. (2001) · New England Journal of Medicine · doi:10.1056/nejm200105103441904 · Cited by 4,602
Black, D. M., Cummings, S. R., Karpf, D. B., Cauley, J. A., Thompson, D. E., Nevitt, M. C., Bauer, D. C., Genant, H. K., Haskell, W. L., Marcus, R., et al. (1996) · The Lancet · doi:10.1016/s0140-6736(96)07088-2 · Cited by 3,846
Denosumab for Prevention of Fractures in Postmenopausal Women with Osteoporosis
Cummings, S. R., Martin, J. S., McClung, M. R., Siris, E. S., Eastell, R., Reid, I. R., Delmas, P., Zoog, H. B., Austin, M., Wang, A., et al. (2009) · New England Journal of Medicine · doi:10.1056/nejmoa0809493 · Cited by 3,489
Once-Yearly Zoledronic Acid for Treatment of Postmenopausal Osteoporosis
Black, D. M., Delmas, P. D., Eastell, R., Reid, I. R., Boonen, S., Cauley, J. A., Cosman, F., Lakatos, P., Leung, P. C., Man, Z., et al. (2007) · New England Journal of Medicine · doi:10.1056/nejmoa067312 · Cited by 2,986
(1994) · PubMed · Cited by 2,784
Manolagas, S. C. (2000) · Endocrine Reviews · doi:10.1210/edrv.21.2.0395 · Cited by 2,568
Predictive Value of BMD for Hip and Other Fractures
Johnell, O., Kanis, J. A., Oden, A., Johansson, H., De Laet, C., Delmas, P., Eisman, J. A., Fujiwara, S., Kroger, H., Mellstrom, D., et al. (2005) · Journal of Bone and Mineral Research · doi:10.1359/jbmr.050304 · Cited by 1,445
Black, D. M., Schwartz, A. V., Ensrud, K. E., Cauley, J. A., Levis, S., Quandt, S. A., Satterfield, S., Wallace, R. B., Bauer, D. C., Palermo, L., et al. (2006) · JAMA · doi:10.1001/jama.296.24.2927 · Cited by 1,407
Romosozumab in Postmenopausal Women with Low Bone Mineral Density
McClung, M. R., Grauer, A., Boonen, S., Bolognese, M. A., Brown, J. P., Diez-Perez, A., Langdahl, B. L., Reginster, J.-Y., Zanchetta, J. R., Wasserman, S. M., et al. (2014) · New England Journal of Medicine · doi:10.1056/nejmoa1305224 · Cited by 1,258
Self-citationThe Osteocyte: An Endocrine Cell … and More
Dallas, S. L., Prideaux, M., & Bonewald, L. F. (2013) · Endocrine Reviews · doi:10.1210/er.2012-1026 · Cited by 1,042
Cited by
Compston, J. E., McClung, M. R., & Leslie, W. D. (2019) · The Lancet · doi:10.1016/s0140-6736(18)32112-3 · Cited by 2,449
Mesenchymal stem cells: Amazing remedies for bone and cartilage defects
Kangari, P., Talaei-Khozani, T., Razeghian-Jahromi, I., & Razmkhah, M. (2020) · Stem Cell Research & Therapy · doi:10.1186/s13287-020-02001-1 · Cited by 286
TGFβ-induced degradation of TRAF3 in mesenchymal progenitor cells causes age-related osteoporosis
Li, J., Ayoub, A., Xiu, Y., Yin, X., Sanders, J. O., Mesfin, A., Xing, L., Yao, Z., & Boyce, B. F. (2019) · Nature Communications · doi:10.1038/s41467-019-10677-0 · Cited by 86
Caire, R., Roche, B., Picot, T., Aanei, C.-M., He, Z., Campos, L., Thomas, M., Malaval, L., Vico, L., & Lafage-Proust, M.-H. (2019) · Journal of Bone and Mineral Research · doi:10.1002/jbmr.3728 · Cited by 27
Makino, A., Hasegawa, T., Takagi, H., Takahashi, Y., Hase, N., & Amizuka, N. (2021) · Bone · doi:10.1016/j.bone.2020.115651 · Cited by 22
Metadata
- Authors
- Langdahl, B., Ferrari, S., & Dempster, D. W.
- Venue
- Therapeutic Advances in Musculoskeletal Disease
- Publisher
- SAGE Publications
- Published
- 2016-10-06
- Volume
- 8
- Issue
- 6
- Pages
- 225-235
- ISSN
- 1759-720X (ISSN-L)
- 1759-7218
- OpenAlex
- W2529535353
- Cited by
- 432
- References
- 82
- FWCI
- 13.54
- Type
- journal article
- Language
- en
- Open access
- green
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