Relationships among bone quality, implant osseointegration, and wnt signaling
Author
dc.contributor.author
Li, I.
Author
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Yin, X.
Author
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Huang, L.
Author
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Mouraret, S.
Author
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Brunski, J. B.
Author
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Córdova Jara, Luis
Author
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Salmon, B.
Author
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Helms, J. A.
Admission date
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2018-05-16T21:41:35Z
Available date
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2018-05-16T21:41:35Z
Publication date
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2017
Cita de ítem
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Journal of Dental Research 2017, Vol. 96(7) 822– 831
es_ES
Identifier
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10.1177/0022034517700131
Identifier
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https://repositorio.uchile.cl/handle/2250/147847
Abstract
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A variety of clinical classification schemes have been proposed as a means to identify sites in the oral cavity where implant osseointegration is likely to be successful. Most schemes are based on structural characteristics of the bone, for example, the relative proportion of densely compact, homogenous (type I) bone versus more trabeculated, cancellous (type III) bone. None of these schemes, however, consider potential biological characteristics of the bone. Here, we employed multiscale analyses to identify and characterize type I and type III bones in murine jaws. We then combined these analytical tools with in vivo models of osteotomy healing and implant osseointegration to determine if one type of bone healed faster and supported osseointegration better than another. Collectively, these studies revealed a strong positive correlation between bone remodeling rates, mitotic activity, and osteotomy site healing in type III bone and high endogenous Wnt signaling. This positive correlation was strengthened by observations showing that the osteoid matrix that is responsible for implant osseointegration originates from Wnt-responsive cells and their progeny. The potential application of this knowledge to clinical practice is discussed, along with a theory unifying the role that biology and mechanics play in implant osseointegration.
es_ES
Patrocinador
dc.description.sponsorship
National Institutes of Health, 5 R01 DE024000-12 /
National Natural Science Foundation of China, 81500829, 81300914 / University of Chile-Conicyt Becas Chile Award
CONICYT PAI/INDUSTRIA 79090016