The DOI matches its Crossref record; 20 of the 20 references it cites were found in a registry or an index.
Optimization of the ligature-induced periodontitis model in mice
Open accessAbstract
Periodontitis is a prevalent oral inflammatory disease that leads to alveolar bone loss and may exert an adverse impact on systemic health. Experimental animal models are critical tools to investigate mechanisms of periodontal pathogenesis and test new therapeutic approaches. The ligature-induced periodontitis model has been used frequently in relatively large animals, including non-human primates, to assess the host response and its effects on the tooth-supporting tissues (gingiva and bone) under well-controlled conditions. Although mice constitute the most convenient and versatile model for mechanistic immunological research (plethora of genetically engineered strains and immunological reagents), the tiny size of the murine oral cavity has presented technical challenges for ligature placement. In this report, we present a straightforward method for ligating the second maxillary molar tooth, and, moreover, identified the most appropriate sites for evaluating inflammatory bone loss in a valid and reproducible manner. These optimizations are expected to facilitate the use of the mouse ligature-induced periodontitis model and consequently contribute to better understanding of the immunopathological mechanisms of periodontitis.
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Cites
Pihlstrom, B. L., Michalowicz, B. S., & Johnson, N. W. (2005) · The Lancet · doi:10.1016/s0140-6736(05)67728-8 · Cited by 3,522
Prevalence of Periodontitis in Adults in the United States: 2009 and 2010
Eke, P. I., Dye, B. A., Wei, L., Thornton-Evans, G. O., & Genco, R. J. (2012) · Journal of Dental Research · doi:10.1177/0022034512457373 · Cited by 1,829
The keystone-pathogen hypothesis
Hajishengallis, G., Darveau, R. P., & Curtis, M. A. (2012) · Nature Reviews Microbiology · doi:10.1038/nrmicro2873 · Cited by 1,790
Self-citationPeriodontitis: a polymicrobial disruption of host homeostasis
Darveau, R. P. (2010) · Nature Reviews Microbiology · doi:10.1038/nrmicro2337 · Cited by 1,688
Hajishengallis, G., & Lamont, R. J. (2012) · Molecular Oral Microbiology · doi:10.1111/j.2041-1014.2012.00663.x · Cited by 1,267
Self-citationAre dental diseases examples of ecological catastrophes?
Marsh, P. D. (2003) · Microbiology · doi:10.1099/mic.0.26082-0 · Cited by 1,256
Abusleme, L., Dupuy, A. K., Dutzan, N., Silva, N., Burleson, J. A., Strausbaugh, L. D., Gamonal, J., & Diaz, P. I. (2013) · The ISME Journal · doi:10.1038/ismej.2012.174 · Cited by 1,092
Diabetes mellitus and periodontitis: a tale of two common interrelated diseases
Lalla, E., & Papapanou, P. N. (2011) · Nature Reviews Endocrinology · doi:10.1038/nrendo.2011.106 · Cited by 1,048
Griffen, A. L., Beall, C. J., Campbell, J. H., Firestone, N. D., Kumar, P. S., Yang, Z. K., Podar, M., & Leys, E. J. (2012) · The ISME Journal · doi:10.1038/ismej.2011.191 · Cited by 1,004
Assuma, R., Oates, T., Cochran, D., Amar, S., & Graves, D. T. (1998) · The Journal of Immunology · doi:10.4049/jimmunol.160.1.403 · Cited by 600
Cited by
Local and systemic mechanisms linking periodontal disease and inflammatory comorbidities
Hajishengallis, G., & Chavakis, T. (2021) · Nature Reviews Immunology · doi:10.1038/s41577-020-00488-6 · Cited by 1,871
Self-citationOsteoimmunology: evolving concepts in bone–immune interactions in health and disease
Tsukasaki, M., & Takayanagi, H. (2019) · Nature Reviews Immunology · doi:10.1038/s41577-019-0178-8 · Cited by 771
Nakao, Y., Fukuda, T., Zhang, Q., Sanui, T., Shinjo, T., Kou, X., Chen, C., Liu, D., Watanabe, Y., Hayashi, C., et al. (2021) · Acta Biomaterialia · doi:10.1016/j.actbio.2020.12.046 · Cited by 466
Dutzan, N., Kajikawa, T., Abusleme, L., Greenwell-Wild, T., Zuazo, C. E., Ikeuchi, T., Brenchley, L., Abe, T., Hurabielle, C., Martin, D., et al. (2018) · Science Translational Medicine · doi:10.1126/scitranslmed.aat0797 · Cited by 382
“11 of 12 For experimental periodontitis studies in mice, LIP was performed as previously described (18) in different strains of mice in the presence or absence of ATB treatments, RORt inhibition, FTY720 treatment, or antibody treatments to block IL-17, Ly6G, or isotype controls.”
Self-citationMaladaptive innate immune training of myelopoiesis links inflammatory comorbidities
Li, X., Wang, H., Yu, X., Saha, G., Kalafati, L., Ioannidis, C., Mitroulis, I., Netea, M. G., Chavakis, T., & Hajishengallis, G. (2022) · Cell · doi:10.1016/j.cell.2022.03.043 · Cited by 328
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Metadata
- Authors
- Abe, T., & Hajishengallis, G.
- Venue
- Journal of Immunological Methods
- Publisher
- Elsevier BV
- Published
- 2013-08
- Volume
- 394
- Issue
- 1-2
- Pages
- 49-54
- ISSN
- 0022-1759 (ISSN-L)
- OpenAlex
- W2038191439
- Cited by
- 543
- References
- 20
- FWCI
- 12.37
- Type
- journal article
- Language
- en
- Open access
- green
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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