The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Inflammation-induced Bone Remodeling in Periodontal Disease and the Influence of Post-menopausal Osteoporosis
Abstract
During physiological conditions, the skeleton is remodeled in so-called bone multi-cellular units. Such units have been estimated to exist at 1–2 x 10 6 sites in the adult skeleton. The number and activities of these units are regulated by a variety of hormones and cytokines. In post-menopausal osteoporosis, lack of estrogen leads to increased numbers of bone multi-cellular units and to uncoupling of bone formation and bone resorption, resulting in too little bone laid down by osteoblasts compared with the amount of bone resorbed by osteoclasts. Inflammatory processes in the vicinity of the skeleton, e.g., marginal and apical periodontitis, will affect the remodeling of the nearby bone tissue in such a way that, in most patients, the amount of bone resorbed exceeds that being formed, resulting in net bone loss (inflammation-induced osteolysis). In some patients, however, inflammation-induced bone formation exceeds resorption, and a sclerotic lesion will develop. The cellular and molecular pathogenetic mechanisms in inflammation-induced osteolysis and sclerosis are discussed in the present review. The cytokines believed to be involved in inflammation-induced remodeling are very similar to those suggested to play crucial roles in post-menopausal osteoporosis. In patients with periodontal disease and concomitant post-menopausal osteoporosis, the possibility exists that the lack of estrogen influences the activities of bone cells and immune cells in such a way that the progression of alveolar bone loss will be enhanced. In the present paper, the evidence for and against this hypothesis is presented.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
OPGL is a key regulator of osteoclastogenesis, lymphocyte development and lymph node organogenesis.
Kong, Y.-Y., Yoshida, H., Sarosi, I., Tan, H.-L., Timms, E., Capparelli, C., Morony, S., Oliveira-dos-Santos, A. J., Van, G., Itie, A., et al. (1999) · Nature · doi:10.1038/16852 · Cited by 3,351
Kong, Y.-Y., Feige, U., Sarosi, I., Bolon, B., Tafuri, A., Morony, S., Capparelli, C., Li, J., Elliott, R., McCabe, S., et al. (1999) · Nature · doi:10.1038/46303 · Cited by 1,856
Lam, J., Takeshita, S., Barker, J. E., Kanagawa, O., Ross, F. P., & Teitelbaum, S. L. (2000) · Journal of Clinical Investigation · doi:10.1172/jci11176 · Cited by 1,440 · cited 2×
“It has been shown that TNF- can stimulate osteoclast formation in the absence of stromal cells/osteoblasts if a "constitutive level" of RANKL (not leading to stimulation of osteoclast formation by itself) is present (Lam et al., 2000).”
BackgroundTRANCE/RANKL knockout mice are protected from bone erosion in a serum transfer model of arthritis.
Pettit, A. R., Ji, H., von Stechow, D., Müller, R., Goldring, S. R., Choi, Y., Benoist, C., & Gravallese, E. M. (2001) · The American Journal of Pathology · doi:10.1016/s0002-9440(10)63016-7 · Cited by 807
Bone resorbing activity in supernatant fluid from cultured human peripheral blood leukocytes
Horton, J. E., Raisz, L. G., Simmons, H. A., Oppenheim, J. J., & Mergenhagen, S. E. (1972) · Science · doi:10.1126/science.177.4051.793 · Cited by 565
Osteoprotegerin Reduces Osteoclast Numbers and Prevents Bone Erosion in Collagen-Induced Arthritis
Romas, E., Sims, N. A., Hards, D. K., Lindsay, M., Quinn, J. W. M., Ryan, P. F. J., Dunstan, C. R., Martin, T. J., & Gillespie, M. T. (2002) · The American Journal of Pathology · doi:10.1016/s0002-9440(10)64417-3 · Cited by 368
Harder, A. T., & An, Y. H. (2003) · The Journal of Clinical Pharmacology · doi:10.1177/0091270003256061 · Cited by 155
Cited by
Ortiz, P., Bissada, N. F., Palomo, L., Han, Y. W., Al‐Zahrani, M. S., Panneerselvam, A., & Askari, A. (2009) · Journal of Periodontology · doi:10.1902/jop.2009.080447 · Cited by 342
Estrogen deficiency and its effect on the jaw bones
Ejiri, S., Tanaka, M., Watanabe, N., Anwar, R. B., Yamashita, E., Yamada, K., & Ikegame, M. (2008) · Journal of Bone and Mineral Metabolism · doi:10.1007/s00774-008-0870-4 · Cited by 49
Metadata
- Authors
- Lerner, U. H.
- Venue
- Journal of Dental Research
- Publisher
- SAGE Publications
- Published
- 2006-07
- Volume
- 85
- Issue
- 7
- Pages
- 596-607
- ISSN
- 0022-0345 (ISSN-L)
- 1544-0591
- OpenAlex
- W1999559229
- Cited by
- 298
- References
- 7
- FWCI
- 4.54
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.