Effects of orthodontic forces on bone turnover biomarkers in peri-miniscrew crevicular fluid: A systematic review

Abstract Background The aim of the present study was to provide an overview of gingival crevicular fluid (GCF) bone turnover markers (BTMs) concerning the physiology of orthodontic tooth movement (OTM) and assess their potential contributions to regulating bone remodeling, that could prove useful in designing future approaches to modulating orthodontic tooth movement. Methods Multiple electronic databases (MEDLINE/PubMed, Ovid MEDLINE, Ovid Embase, LILACS, and Cochrane Library) were searched up to October 1st, 2020. Randomized controlled trials (RCTs), controlled clinical trials, observational studies of prospective and retrospective designs, and cross-sectional studies reporting on levels of BTMs in GCF were eligible for inclusion. The quality of the included RCTs was assessed per the revised Cochrane risk of bias tool for randomized trials (RoB 2.0), whereas the risk of bias of the included cohort studies was assessed using the Risk Of Bias In Non-randomized Studies of Interventions tool. Results Five RCTs, 9 prospective cohort studies, and 1 cross-sectional study fulfilled the inclusion criteria. The risk of bias was deemed as high for the RCTs and 4 of the prospective studies and moderate for the rest of the studies. The following biomarkers for bone formation were assessed: bone alcaline phosphatase (BALP), alcaline phosphatase (ALP), and osteocalcin (OC). For bone resorption, the following BTMs were assessed: deoxypyridinoline (DPD) and pyridinoline (PYD), N-terminal telopeptide (NTX), osteopontin (OPN), and tartrate-resistant acid phosphatase (TRAP). The follow-up period ranged mainly from baseline to 45 days, although one study had an expanded follow-up period of up to 16 months. The results of the included studies comparing different BTMs were heterogeneous and qualitatively reported. Conclusions Current evidence continues to support the potential for BTMs to provide clinically useful information particularly for adjusting or standardizing the orthodontic stimulus. The present systematic review has retrieved studies of high, overall, risk of bias, and has unveiled a substantial clinical and methodological heterogeneity among included studies. Further data of the relationships between the clinical assays and the physiological or pre-analytical factors contributing to variability in BTMs’ concentrations are required. Systematic review registration CRD42020212056.

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Biomarkers of Orthodontic Tooth Movement in Gingival Crevicular Fluid: A Systematic Review

The Journal of Contemporary Dental Practice ◽

10.5005/jp-journals-10024-1725 ◽

2015 ◽

Vol 16 (7) ◽

pp. 578-587 ◽

Cited By ~ 13

Author(s):

Adel M Alhadlaq

Keyword(s):

Systematic Review ◽

Tooth Movement ◽

Gingival Crevicular Fluid ◽

Orthodontic Tooth Movement ◽

Cochrane Library ◽

Biochemical Processes ◽

Tissue Responses ◽

Biomechanical Changes ◽

Crevicular Fluid ◽

Orthodontic Forces

ABSTRACT Background The analysis of gingival crevicular fluid (GCF) may be an acceptable way to examine the ongoing biochemical processes associated with bone turnover during orthodontic tooth movement. If it is possible to biologically monitor and predict the outcome of orthodontic forces, then the management of appliances could be based on individual tissue responses, and the effectiveness of the treatment could be improved. Methodology A literature search was carried out in major databases, such as medline, EMBASE, cochrane library, web of science, google scholar and scopus for relevant studies. Publications in English between 2000 and 2014 which estimated GCF markers as indicators of orthodontic tooth movement were included. Results The list of biomarkers available to date was compiled and presented in table format. Each biomarker is discussed separately based on the available evidence. Conclusion Several sensitive GCF markers are available to detect the biomechanical changes occurring during orthodontic tooth movement. Further focused research might help to analyze the sensitivity and reliability of these indicators, which in turn can lead to the development of chairside tests to assess the outcome of orthodontic therapy. How to cite this article Alhadlaq AM. Biomarkers of Orthodontic Tooth Movement in Gingival Crevicular Fluid: A Systematic Review. J Contemp Dent Pract 2015;16(7):578-587.

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Lipocalin 2 serum levels correlate with age and bone turnover biomarkers in healthy subjects but not in postmenopausal osteoporotic women

Bone Reports ◽

10.1016/j.bonr.2021.101059 ◽

2021 ◽

pp. 101059

Author(s):

Antonio Maurizi ◽

Marco Ponzetti ◽

Kaare M. Gautvik ◽

Sjur Reppe ◽

Anna Teti ◽

...

Keyword(s):

Bone Turnover ◽

Healthy Subjects ◽

Serum Levels ◽

Lipocalin 2 ◽

Bone Turnover Biomarkers

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Bone Pain in Multiple Myeloma (BPMM)—A Protocol for a Prospective, Longitudinal, Observational Study

Cancers ◽

10.3390/cancers13071596 ◽

2021 ◽

Vol 13 (7) ◽

pp. 1596

Author(s):

Marta Diaz-delCastillo ◽

Rebecca E. Andrews ◽

Aritri Mandal ◽

Thomas L. Andersen ◽

Andrew D. Chantry ◽

...

Keyword(s):

Quality Of Life ◽

Multiple Myeloma ◽

Observational Study ◽

Bone Turnover ◽

Bone Pain ◽

Subjective Experience ◽

Prospective Longitudinal ◽

Bone Turnover Biomarkers

Multiple myeloma (MM) is a bone marrow neoplasia that causes bone pain in 70% patients. While preclinical models of MM have suggested that both nerve sprouting and nerve injury may be causative for the pain, there is a lack of clinical data. Thus, the primary aims of this clinical study are: (1) to provide a deep characterization of the subjective experience of pain and quality of life in MM patients; (2) to investigate disturbances in the bone innervation of MM patients. Secondary aims include exploring correlations between pain and serum inflammatory and bone turnover biomarkers. In a prospective, observational study (clinicaltrials.gov: NCT04273425), patients with suspected MM requiring a diagnostic iliac crest biopsy at Sheffield Teaching Hospital (UK) are invited to participate. Consenting patients answer seven standardized questionnaires assessing pain, quality of life and catastrophizing. Bone turnover biomarkers and inflammatory cytokines are measured in fasting serum samples, and bone innervation is evaluated in diagnostic biopsies. MM patients are invited to a follow-up upon completion of first line treatment. This will be the first deep characterization of pain in MM patients and its correlation with disturbances in bone innervation. Understanding how bone turnover and inflammation correlate to pain in MM is crucial to identify novel analgesic targets for this condition.

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