Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Video

Updated: May 22, 2026

An Improved Mechanical Testing Method to Assess Bone-implant Anchorage
11:51

An Improved Mechanical Testing Method to Assess Bone-implant Anchorage

Published on: February 10, 2014

Correlation between molecular signals and bone bonding to titanium implants.

Marta Monjo1, Joana M Ramis, Hans J Rønold

  • 1Department of Fundamental Biology and Health Sciences, Research Institute on Health Sciences, University of Balearic Islands, Carretera de Valdemossa km. 7.5, Palma de Mallorca, Spain. marta.monjo@uib.es

Clinical Oral Implants Research
|May 17, 2012
PubMed
Summary

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Multiomics Comparison of Proline-Rich Peptide-Enhanced Hyaluronic Acid Gels Versus Conventional Regenerative Materials: An Early Wound-Healing Model.

Journal of periodontal research·2025
Same author

A Multiomic Study of Platelet-Derived Extracellular Vesicles and Impact of Platelet Concentrate Sources.

IET nanobiotechnology·2025
Same author

Comparative Analysis of Platelet-Derived Extracellular Vesicle Protein Extraction Methodologies for Mass Spectrometry.

Journal of proteome research·2025
Same author

EVs Biodistribution and Antifibrotic Impact in Aged Lung Fibrosis Model.

BioFactors (Oxford, England)·2025
Same author

Evaluation of Different Commercial Sealing Hemostatic Patches for Their Selection as Reservoirs for Localized Intraperitoneal Chemotherapy.

ACS pharmacology & translational science·2025
Same author

Impact of donor pool size on the variability of platelet lysate-derived extracellular vesicles for regenerative medicine.

Extracellular vesicles and circulating nucleic acids·2024

Understanding bone healing markers is key for better dental implants. This study identified specific molecular and biochemical indicators that predict successful osseointegration and implant performance in rabbits.

Area of Science:

  • Biomaterials Science
  • Orthopedic Research
  • Tissue Engineering

Background:

  • Osseointegration is crucial for dental and orthopedic implant success.
  • Identifying reliable biological markers for osseointegration is essential for improving implant outcomes.

Purpose of the Study:

  • To identify molecular and biochemical variables significantly correlated with osseointegration.
  • To assess the predictive value of these markers for bone healing and implant performance.

Main Methods:

  • Titanium implants were placed in rabbit tibiae and pull-out tests were performed at 4 and 8 weeks.
  • Correlations were analyzed between pull-out force and various tissue fluid and peri-implant bone markers, including gene expression.

Main Results:

Keywords:
In vivo testbonegene expressionosseointegrationtitanium

More Related Videos

Biological Compatibility Profile on Biomaterials for Bone Regeneration
10:28

Biological Compatibility Profile on Biomaterials for Bone Regeneration

Published on: November 16, 2018

Related Experiment Videos

Last Updated: May 22, 2026

An Improved Mechanical Testing Method to Assess Bone-implant Anchorage
11:51

An Improved Mechanical Testing Method to Assess Bone-implant Anchorage

Published on: February 10, 2014

Biological Compatibility Profile on Biomaterials for Bone Regeneration
10:28

Biological Compatibility Profile on Biomaterials for Bone Regeneration

Published on: November 16, 2018

  • Peri-implant bone organic content (DNA, RNA, protein) negatively correlated with pull-out force.
  • Alkaline phosphatase (ALP) activity and tissue fluid markers showed negative correlations with pull-out force.
  • Osteoblast markers (osteocalcin) and bone resorption markers (collagen-I) positively correlated with osseointegration.

Conclusions:

  • Specific molecular and biochemical markers can predict osseointegration success.
  • These findings may aid in developing new implant surfaces for accelerated bone healing and enhanced implant stability.