Dataset Information

Bone morphogenetic protein 4 in human saliva during orthodontic therapy

ABSTRACT: In orthodontic therapy periodontal tissue responds to mechanical stimuli by bone remodeling mediated by specific molecules involved in periodontal regeneration and homeostasis. The resulting changes are reflected in the salivary proteome that is emerging as a valuable diagnostic tool. We analyzed the changes of saliva proteome during orthodontic tooth movement in 12 healthy male patients, presented with malocclusion treated by placement of fixed orthodontic appliance. Six patients with identical dental pathology, but no orthodontic therapy were used as control samples. Saliva was collected a day before, immediately after, and 2, 7 and 30 days after the placement of the fixed orthodontic appliance and analyzed by LC-MS. Total of 198 proteins were identified and classified on the basis of their functional characteristics. Proteins involved in bone remodeling, inflammation and healing were detected mostly 30 days after placement of the fixed orthodontic appliance. At this time point, Bone morphogenetic protein 4 emerged as a central player in the ongoing dental bone remodeling. Besides BMP4, BMP antagonists: BMP Binding Endothelial Regulator (BMPER), Insulin-like growth factor-binding protein 3 (IGFBP3), Cytoskeleton-associated protein 4 (CKAP4) and Fibroblast growth factor 5 (FGF5), were also identified. Presence of BMP4 in human saliva 30 days after the placement of orthodontic fixed appliance was confirmed by ELISA and concentration of BMP4 was 3.2 pg/ml. To date, there is no published data on the presence of BMP molecules or their antagonists in saliva or the gingival cervical fluid, regardless of different orthodontic treatments or disease. BMP4 is involved not only in orthodontic treatment, but also in processes involving tooth development and homeostasis. Therefore, a better understanding of its networks in bone remodeling during OTM is heralded.

INSTRUMENT(S): LTQ Orbitrap Discovery

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Saliva

SUBMITTER: Ruđer Novak

LAB HEAD: Lovorka Grgurević

PROVIDER: PXD016481 | Pride | 2021-09-09

REPOSITORIES: Pride

ACCESS DATA

Dataset's files

Source:

Items per page:

1 - 5 of 40

Publications

Identification of bone morphogenetic protein 4 in the saliva after the placement of fixed orthodontic appliance.

Grgurevic Lovorka L Novak Ruder R Salai Grgur G Trkulja Vladimir V Hamzic Lejla Ferhatovic LF Popovic Vojka Zgombic VZ Bozic Darko D

Progress in orthodontics 20210712 1

<h4>Background</h4>This study was conducted in order to explore the effects of orthodontic tooth movement (OTM) on the changes of salivary proteome. This prospective observational pilot study recruited 12 healthy teenage boys with malocclusion treated with a fixed orthodontic appliance and 6 appropriate control participants. Saliva samples were collected a day before and at 0, 2, 7, and 30 days after initialization of treatment, corresponding to the initial, lag, and post-lag phases of OTM. Pool ...[more]

PMID: 34250561

Similar Datasets

Project description:This a model from the article: Mathematical model predicts a critical role for osteoclast autocrine regulation in the control of bone remodeling. Komarova SV, Smith RJ, Dixon SJ, Sims SM, Wahl LM Bone2003 Aug;33(2):206-15 14499354, Abstract: Bone remodeling occurs asynchronously at multiple sites in the adult skeleton and involves resorption by osteoclasts, followed by formation of new bone by osteoblasts. Disruptions in bone remodeling contribute to the pathogenesis of disorderssuch as osteoporosis, osteoarthritis, and Paget's disease. Interactions among cells of osteoblast and osteoclast lineages are critical in the regulation of bone remodeling. We constructed a mathematical model of autocrine and paracrine interactions among osteoblasts and osteoclasts that allowed us to calculate cell population dynamics and changes in bone mass at a discrete site of bone remodeling. Themodel predicted different modes of dynamic behavior: a single remodeling cycle in response to an external stimulus, a series of internally regulated cycles of bone remodeling, or unstable behavior similar to pathological bone remodeling in Paget's disease. Parametric analysis demonstrated that the mode of dynamic behaviorin the system depends strongly on the regulation of osteoclasts by autocrine factors, such as transforming growth factor beta. Moreover, simulations demonstratedthat nonlinear dynamics of the system may explain the differing effects of immunosuppressants on bone remodeling in vitro and in vivo. In conclusion, the mathematical model revealed that interactions among osteoblasts and osteoclasts result in complex, nonlinear system behavior, which cannot be deduced from studies of each cell type alone. The model will be useful in future studies assessing the impact of cytokines, growth factors, and potential therapies on the overall process ofremodeling in normal bone and in pathological conditions such as osteoporosis and Paget's disease. The model reproduces Fig 2A and Fig 2B of the paper. Note that the Y-axis scale is not right, the osteoblast steadystate is approximatley 212 and not 0 as depicted in the figure. Also, there is atypo in the equation for x2_bar which has been corrected here. Model successfully tested on MathSBML. This model originates from BioModels Database: A Database of Annotated Published Models. It is copyright (c) 2005-2009 The BioModels Team.For more information see the terms of use.To cite BioModels Database, please use Le Novère N., Bornstein B., Broicher A., Courtot M., Donizelli M., Dharuri H., Li L., Sauro H., Schilstra M., Shapiro B., Snoep J.L., Hucka M. (2006) BioModels Database: A Free, Centralized Database of Curated, Published, Quantitative Kinetic Models of Biochemical and Cellular Systems Nucleic Acids Res., 34: D689-D691.

Project description:This a model from the article: A mathematical model of bone remodeling dynamics for normal bone cell populations and myeloma bone disease Bruce P Ayati, Claire M Edwards, Glenn F Webb and John P Wikswo. Biology Direct2010 Apr 20;5(28). 20406449, Abstract: BACKGROUND: Multiple myeloma is a hematologic malignancy associated with the development of a destructive osteolytic bone disease. RESULTS: Mathematical models are developed for normal bone remodeling and for the dysregulated bone remodeling that occurs in myeloma bone disease. The models examine the critical signaling between osteoclasts (bone resorption) and osteoblasts (bone formation). The interactions of osteoclasts and osteoblasts are modeled as a system of differential equations for these cell populations, which exhibit stable oscillations in the normal case and unstable oscillations in the myeloma case. In the case of untreated myeloma, osteoclasts increase and osteoblasts decrease, with net bone loss as the tumor grows. The therapeutic effects of targeting both myeloma cells and cells of the bone marrow microenvironment on these dynamics are examined. CONCLUSIONS: The current model accurately reflects myeloma bone disease and illustrates how treatment approaches may be investigated using such computational approaches. Note: The paper describes three models 1) Zero-dimensional Bone Model without Tumour, 2) Zero-dimensional Bone Model with Tumour and 3) Zero-dimensional Bone Model with Tumour and Drug Treatment. This model corresponds to the Zero-dimensional Bone Model without Tumour. Typos in the publication: Equation (4): The first term should be (β1/α1)^(g12/Γ) and not (β2/α2)^(g12/Γ) Equation (14): The first term should be (β1/α1)^(((g12/(1+r12))/Γ) and not (β2/α2)^(((g12/(1+r12))/Γ) Equation (13): The first term should be (β1/α1)^((1-g22+r22)/Γ) and not (β1/α1)^((1-g22-r22)/Γ) All these corrections has been implemented in the model, with the authors agreement. Beyond these, there are several mismatches between the equation numbers that are mentioned in for each equation and the reference that has been made to these equations in the figure legend.

			Action	DRS
	10_1.raw	Raw
	10_2.raw	Raw
	10_3.raw	Raw
	1_1.raw	Raw
	1_2.raw	Raw