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Dental Cementum

Dental cementum is a specialized mineralized tissue covering the root surface of teeth.
It is essential for the attachment of periodontal ligaments and plays a crucial role in tooth anchorage.
Cementum is composed of hydroxyapatite crystals and collagen fibers, and it undergoes continuous remodeling throughout an individual's lifetime.
Understanding the structure, composition, and functions of dental cementum is crucial for research in areas such as periodontal disease, tooth movement, and dental implant integration.
This MeSH term provides a comprehensive overview of the current knowledge and advancements in the field of dental cementum research.

Most cited protocols related to «Dental Cementum»

A total of 26 ancient human bones and teeth from various archaeological contexts spanning
tropical and temperate environments were included in the pre-digestion experiments. Fourteen ancient
teeth were used in the comparison between DNA extracted from the root core (dentine) and root
surface (cementum-enriched). All relevant information regarding the samples are provided in Table 1.
Publication 2015
Bones Dental Cementum Dentin Digestion Homo sapiens Tooth Tooth Root
EPER-Spain industrial co-ordinates are obtainable from two sources. In February 2004, the EEA, acting through the EPER registry in Europe [30 ] published the co-ordinates of EPER-Spain industries, using 2001 data based on information furnished by the respective Environmental Authorities of Spain's Autonomous Regions. Subsequently, as a consequence of the application of Spanish legislation [2 ], the Autonomous Regions sent updated information on the industries to the Spanish MOE, which in turn disseminated this via the EPER's Spanish-based web page in 2006 [1 ].
EPER-Europe and EPER-Spain furnish geographic WGS84-projection co-ordinates (longitude/latitude). These co-ordinates were converted into UTM Zone 30 (ED50) co-ordinates (X, Y) and incorporated into a GIS.
Currently, there are different tools that enable any point of Spanish territory to be accurately located. In a first phase, the quality of registry data was evaluated using the SIGPAC, a GIS belonging to the Spanish Ministry of Agriculture, Fisheries & Food. This system is designed to monitor Common Agricultural Policy (CAP) grants and includes orthophotos of the entire surface of Spanish territory, along with topographic maps showing the names of industries, industrial estates, roads, buildings and streets [31 ]. An orthophoto is a photographic depiction of an area of the Earth's terrestrial surface, on which all the elements are shown error- and distortion-free on the same scale, with the same validity as a cartographic plan. In other words, it can be regarded as a photograph that displays the images of objects in their true orthographic position, and is geometrically equivalent to a plan [32 ]. Although an orthophoto is an image, its geometrical precision and radiometrical accuracy are of crucial importance [33 ].
The SIGPAC enables any point of Spanish geography to be visualised, whether by searching directly (by region, province, town, industrial estate or plot) or by co-ordinates (by UTM, X and Y co-ordinates, zone and radius of visualisation of the point sought).
The initial UTM co-ordinates of each of the industries were fed into the SIGPAC and orthophotos were obtained with various radiuses of visualisation. The original location was classified using the following quality criteria:
1) high quality, where industrial facilities were really located at a distance of less than 500 metres from the centre of the orthophoto (which corresponds with the original co-ordinates);
2) medium quality, where industrial facilities were shown to be situated more than 500 metres but less than 1 kilometre from the centre of the orthophoto; and,
3) low quality, where industrial facilities were shown to be situated at a distance of more than 1 kilometre from the centre of the orthophoto.
Based on the orthophotos, and using the information from the topographic maps, we plotted the exact location of those industries whose co-ordinates were not correct and corroborated the location of those whose initial co-ordinates were correct.
Facilities whose SIGPAC situation was in doubt were located using other means, such as the GoogleMaps server [34 ] (which allows for a search of addresses and companies, and offers high-quality aerial photographs), yellow pages web page [35 ] (which allows for a search of addresses and companies), Internet aerial photographs, and the web pages of the industries themselves (e.g., web page of Spanish cement industries [36 ]) and various local and regional institutions.
Industry percentages, broken down by the respective quality criteria, are shown for each Autonomous Region and for Spain as a whole. For each of the industries studied, the distance between the corrected and original European and Spanish registry co-ordinates was also calculated and a descriptive analysis of this information was performed for each Autonomous Region, for Spain overall, and for the different activities and industrial groups.
Publication 2008
Dental Cementum Europeans Food Hispanic or Latino Lanugo Microtubule-Associated Proteins Radius
The hip arthroplasty registries of Sweden, Denmark, and Norway participated in the present study. The Swedish Hip Registry was established in 1979, whereas the Norwegian Arthroplasty Registry and the Danish Hip Registry started registration in 1987 and 1995, respectively. From 1995, all 3 registries have used individual-based registration of operations and patients. We therefore decided to select primary THRs performed during 1995–2006 for the present study.
The databases in the 3 registers were not fully compatible, as we had different registration forms including somewhat different variables, and to some extent also different definitions of variables. Thus, we defined a common set of parameters, containing only data that all 3 registries could deliver and consensus was made according to definition of several variables. However, for cement and prosthesis brands we kept the national codes unchanged but coupled them to additional country codes.
Selection and transformation of the respective data sets and de-identification of the patients, including deletion of the national civil registration numbers, were performed within each national registry. Anonymous data were then merged into a common database.
Data were treated with full confidentiality, according to the rules of the respective countries. This included access to the common database, which was limited to the co-authors of the present paper. It is not possible to identify patients at an individual level, either in this paper or in the database.
Publication 2009
Arthroplasty Deletion Mutation Dental Cementum Patients Prosthesis Threonine
Data in Figure S2C were re-analyzed from a previous publication16 (link) to calculate the time-course of optogenetic responses using z-scored firing rates. To record single unit electrophysiological activity from medium spiny neurons and fast-spiking interneurons in vivo during optogenetic silencing of FSIs in awake, freely moving mice, we implanted multi-electrode arrays into striatum of PV-2A-cre mice. Under anesthesia in a stereotactic surgery, the scalp was opened and a hole was drilled in the skull (+0.5 to +1.5 mm AP, −2.5 to −1.5 mm ML from bregma). We injected 1000 nL of AAV (AAV5-EF1α-DIO-eNpHR3.0-YFP) the coordinates +1.0 AP, +/−2.2 ML, −2.5 DV from bregma in PV-2A-cre mice (Jackson Stock #012358). Two skull screws were implanted in the opposing hemisphere to secure the implant to the skull. Dental adhesive (C&B Metabond, Parkell) was used to fix the skull screws in place and coat the surface of the skull. An array of 32 microwires (4×8 array, 35 μm tungsten wires, 150 μm spacing between wires, 150 – 200 μm spacing between rows; Innovative Physiology) was combined with a 200 μm diameter optical fiber (Thorlabs FT200UMT, flat cut) and lowered into the striatum (2.5 mm below the surface of the brain) and cemented in place with dental acrylic (Ortho-Jet, Lang Dental). After the cement dried, the scalp was sutured shut. Animals were allowed to recover for at least seven days before striatal recordings were made.
Voltage signals from each site on a 32-channel microwire array were recorded in awake, freely moving mice in an open field arena. Signals were band-pass-filtered, such that activity between 300 and 6,000 Hz was analyzed as spiking activity. This data was amplified, processed and digitally captured using commercial hardware and software (Plexon or SpikeGadgets). Single units were discriminated with principal component analysis (Plexon Offline Sorter, or SpikeGadgets MatClust). Two criteria were used to ensure quality of recorded units: (1) recorded units smaller than 100 μV (~3 times the noise band) were excluded from further analysis and (2) recorded units in which more than 1% of interspike intervals were shorter than 2 ms were excluded from further analysis. FSIs and MSNs were distinguished based on waveform and firing rate as previously described16 (link). Green light pulses 1 sec in duration and 3 mW in brightness were delivered through a 200 μm optical fiber contained within the implanted microwire recording array with a duty cycle of 25% for 60 min (900 pulses for 1 s; 30 pulses for 30 s).
Publication 2019
Animals C & B Metabond Cranium Dental Anesthesia Dental Cements Dental Cementum Dental Health Services Interneurons Medium Spiny Neurons Methyl Green Mice, Laboratory MSN protein, human Operative Surgical Procedures Optogenetics physiology POU3F2 protein, human Pulses Scalp Strains Striatum, Corpus Tungsten
Local field potential (LFP) recordings were performed in awake, freely moving mice using an adaptation of the protocol described by Mainardi et al. (2012 (link)).
Under avertin anaesthesia (0.01 ml/g) and after placement in a stereotaxic apparatus, the skull was exposed and four burr holes were drilled (see Figure 2 and below), paying attention not to damage the dural surface. Four 120 μm-thick nichrome wire electrodes and an insulated copper ground cable were soldered to a multipin socket. This device was held by an adjustable manipulator and the electrodes were positioned to obtain an electrical contact without lesioning the dura mater. LFPs were sampled by placing in each cortical area two electrodes, spaced by 1.0 mm, to detect local electrical activity between the two sites. A screw was positioned on the occipital bone and connected with the ground cable, while an additional screw was installed on the frontal bone for improved stability. The implant was fixed with acrylic cement (Paladur, Pala, Germany). Stereotaxical coordinates were (i) 2.0 mm and 3.0 mm L and 0.0 mm AP to lambda for V1; (ii) 3.9 mm L and −2.0 and −3.0 mm AP to bregma for primary auditory cortex (A1) (Figure 4) (Paxinos and Franklin, 2013 ). Five days were allowed for recovery from surgery.
After a 1 h habituation to the test cage, LFPs were recorded for 1 h using a digital acquisition system, composed of a custom-made buffer to eliminate movement artifacts, an amplifier and an acquisition card (National Instruments, USA), plugged via USB to a computer. The custom-made acquisition software was based on LabView (National Instruments). Cortical LFPs were sampled at 100 Hz as the differential between two adjacent electrode sites, 10000× amplified and 0.3–45 Hz band-passed.
Publication 2013
Acclimatization Anesthesia ARID1A protein, human Attention Buffers CAGE1 protein, human Copper Cortex, Cerebral Cranium Dental Cementum Dura Mater Electricity Fingers Frontal Bone Gomphosis Medical Devices Movement Mus nichrome Occipital Bone Operative Surgical Procedures Primary Auditory Cortex sparfosic acid Trephining tribromoethanol

Most recents protocols related to «Dental Cementum»

Example 6

The number of viable cells or cells viability after exposure to bioceramic compositions was determined using the chromogenic indicator 3-(4,5-dimethyl-thiazol)-2,5-diphenyl-tetrazolium bromide (MTT) assays for 72 hours.

The cell viability observed after incubation found was compared with control (without cements) and with a Market resin sealer (CC1), in which control showed the highest cell viability while CC1 showed the lowest, i.e., showing an unsatisfactory result for CC1.

It was also possible to see differences between Bioceramic composition sealer (CB5), Market bioceramic sealer (CS1), Bioceramic composition repair (CB6), Market bioceramic repair (CR1), Market bioceramic sealer (CS2) and Market bioceramic repair (CR2). The results are presented in FIG. 8.

Patent 2024
azo rubin S Biological Assay Bromides Cell Survival Dental Cementum Dental Pulp diphenyl Homo sapiens Resins, Plant Stem Cells Tetrazolium Salts
Micro X-ray fluorescence (µXRF) is an elemental analysis technique which allows for the examination of relatively small sample areas. Unlike conventional XRF, which has a typical spatial resolution ranging from several hundred micrometers up to several millimeters, µXRF uses polycapillary optics to generate small focal spots with high X-ray flux on the sample surface with a spatial resolution on the micrometer scale [48 (link)–50 ].
In the last three decades, μ-XRF analysis has become more easily accessible for routine analysis. The selection of the incident beam energy is in the range of 15–40 kV, which provides the excitation of at least one measurable characteristic X-ray peak for all elements of the periodic table with an atomic number greater than 11 (sodium) in various media. The said spectra can be collected either in low vacuum or at atmospheric conditions. The method allows a high flux of photons, adjustable wavelengths and advanced X-ray focusing techniques, which are needed for high spatial resolution chemical imaging. The X-ray beam is excited using a rhodium (Rh) target, and this allows the detection of major and minor constituents of complex materials (e.g. cement paste) [49 , 50 ].
In this study, the instrument that was used for the μXRF analysis is an EDAX (Mahwah, NJ, USA) ORBIS μXRF spectrometer. The system uses a Silicon Drift Detector (SDD) and focuses the X-rays from a rhodium target anode with a polycapillary focusing optic, which allows for a beam diameter of roughly 30 μm (FWHM at molybdenum Kα line, 17.5 keV). The SDD has an active area of 30 mm2 and an 8 μm beryllium window with an energy resolution of less than 165 eV at manganese Kα line (5.9 keV). The acquisition system is the ORBIS Vision Software by EDAX.
The measurement protocol was the following: The relatively freshly cut surfaces of the samples were mapped with a 45 μm resolution. The applied acceleration potential and current were 35 kV and 950 μA, respectively. At each point, a spectrum was acquired for 150 ms. Measurements were carried out in air with a built-in 25-μm thick aluminum filter to eliminate the rhodium Lα radiation and, therefore, preventing it from reaching the sample. This is necessary because this radiation overlaps with the chlorine Kα X-ray line and increases its limit of detection.
Publication 2023
Acceleration Aluminum Beryllium-8 Chlorine Dental Cementum Exanthema Eye Fluorescence Manganese Molybdenum Paste Radiation Rhodium Roentgen Rays Silicon Sodium Vacuum Vision X-Rays, Diagnostic

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Publication 2023
Bones Bos taurus Dental Cementum Ethanol Fungus, Filamentous Limestone Nylons Polymethyl Methacrylate Radiation Submersion Ultraviolet Rays
As for cremations, the petrous bone was abraded to remove surface contaminants using a dental bur. The otic capsule was separated from the cremated petrous portions using a 1 mm mechanical saw mounted on a drilling machine (DREMEL® model 300), following Harvig et al.58 (link). Subsequently, the densest part of the central inner ear was sampled using a low-speed drill (2 mm diameter), producing clean samples of intact otic capsules for the Sr isotope analyses. The bone powder was stored in pre-cleaned plastic Eppendorf (1.5 ml) vials. The bone powder mass ranged between 0.02 and 0.04 g. As for inhumations, upper molar enamel was sampled from the protocone, or mesiolingual, cusp to the cement enamel junction (CEJ), whereas lower molars were sampled from the occlusal margin of the protoconid, or mesiobuccal, cusp to the CEJ, following Müller et al.54 (link). A flexible diamond-edged rotary wheel mounted on a drilling machine (DREMEL® model 300) was used to cut a longitudinal crown section of the cusps. Adhering contaminants such as soil, sediments and all trace of dentine were removed using a dental bur. The tooth enamel mass ranged between 0.02 and 0.04 g.
For 9 samples (from FM-SR-52 to FM-SR-60), a different methodology was adopted to sample bulk enamel, similar to the method proposed by Czermak et al.59 (link) for dental roots. This technique was employed to remove any dentine trace, which can be affected by diagenesis and can influence 87Sr/86Sr values contained in enamel samples (Supplementary Note). Teeth were cleaned and photographed. Subsequently, samples were covered in Crystalbond 590 Mounting Adhesive (Aremco Products, Inc.) before being embedded in resin. Crystalbond is a transparent resin, reversible in acetone, which isolates the tooth when it is embedded in epoxy resin.
Teeth were embedded in an epoxy resin and subsequently longitudinally cut following Nava et al. 60 . Sections were made passing through the tip of the dentine horn along the buccolingual plane. Once the cut was performed, dentine was thoroughly removed with a dental bur. The section was immersed in acetone to free the tooth from the resin (Supplementary Fig. S7).
Publication 2023
Acetone Bone Density Bones Dental Cementum Dental Enamel Dental Health Services Dental Resins Dentin Diamond Dietary Fiber Epoxy Resins Horns Isotopes Labyrinth Labyrinths, Bony Molar Petrous Bone Plant Roots Powder Resins, Plant Tooth TP63 protein, human
In order to obtain nanostructural and crystallographic information on the 3D volume, a filtered backprojection of the azimuthally averaged data at β = 0 was carried out, similar to that carried out by Schroer et al. (2006 ▸ ) for SAXS, and Stock et al. (2008 ▸ ) and Birkedal et al. (Leemreize et al., 2013 ▸ ; Wittig et al., 2019 ▸ ; Frølich et al., 2016 ▸ ) for the diffraction signal. This corresponds to SAXS/WAXS-CT. Although it does not provide orientational information like SAXS/WAXSTT does, this approach yields a full 1D scattering curve for each voxel, which can be used to extract further structural information about the sample.
From the SAXS signal, assuming a two-phase system with a mineral fraction of 50% (Zizak et al., 2003 ▸ ; Fratzl et al., 1992 ▸ ) and predominately platelet-shaped particles, the mineral particle thickness (T parameter) was calculated using from the Porod constant P and the invariant J. The Porod constant was determined from the region q = 1 nm−1 to q = 3.5 nm−1, extracted from the data presented in a Porod plot, Iq4 versus q4. A linear fit was extrapolated to q = 0, which determines the Porod constant. The invariant J was determined from the Kratky plot, Iq2 versus q, by integrating the scattering curve in the accessible q range and then extrapolating to q = 0 with q−4 to q → ∞. This follows the approach laid out by Pabisch et al. (2013 ▸ ).
The crystalline lattice parameters can be extracted from the reconstructed WAXS signal. In bone, the mineral phase consists of hy­droxy­lapatite (HA)-like nanocrystals, which show a hexagonal structure, where the c axis and hence the scattering vector of the (002) reflection of the intrafibrillar mineral is considered to be oriented mostly in the long dimension of the mineral particles.
The width of the (002) reflection can be used to calculate the apparent mean length of the mineral crystals, whereas the position of the (002) reflection gives the lattice spacing in the direction of the c axis. The peak position and width were obtained by fitting a Gaussian function with a linear background to the reconstructed WAXS signal. The peak width was converted to an apparent crystallite size L using the Scherrer equation where K is the shape factor (0.94 in this case), λ is the X-ray wavelength, β is the peak width of the reflection after subtraction of the instrumental broadening [1.95 mrad for this setup (Zanghellini et al., 2019 ▸ )] and θ is the Bragg angle.
The absorption CT and SAXS/WAXS tensor tomography data were aligned volumetrically with the Avizo volume align functionality and transformed into a common coordinate system. From the absorption CT data, the osteocyte lacunae, the central blood vessel and the cement lines were segmented using a combination of Otsu thresholding and interactively defined grouping. Based on these segmentations, the parameters retrieved from SAXS/WAXS-CT were calculated as a function of the distance to the nearest structural feature, including the cement lines, blood vessel, lacunae and sample edges. The blue lines of Figs. 3 and 4 present the mean value of each distance group and the shaded areas delineate ±1 standard deviation.
In order to test for statistical significance of the difference between bone next to the various structural features and bone further away, the data presented in Figs. 3 and 4 were grouped into the first 10 µm and the last 10 µm and a one-way analysis of variance with a Bonferroni test was conducted [significance level = 0.05 (Liebi et al., 2021 ▸ )]. The two groups presented in Fig. 5 were similarly compared with a Bonferroni test at a significance level of 0.05.
Publication 2023
Blood Platelets Blood Vessel Bones Cloning Vectors Crystallography Dental Cementum Epistropheus Mental Orientation Minerals Osteocytes Radiography Reflex Tomography

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More about "Dental Cementum"

Dental cementum is a specialized mineralized tissue that covers the root surface of teeth.
It is a crucial component for the attachment of periodontal ligaments and plays a vital role in tooth anchorage.
Cementum is composed of hydroxyapatite crystals and collagen fibers, and it undergoes continuous remodeling throughout an individual's lifetime.
Understanding the structure, composition, and functions of dental cementum is essential for research in areas such as periodontal disease, tooth movement, and dental implant integration.
Dental cementum, also known as root cementum or tooth cementum, is a hard, calcified substance that covers the root surface of teeth.
It is a type of cementitious material that helps to anchor the tooth to the alveolar bone through the periodontal ligament.
The cementum layer serves as a foundation for the attachment of these ligaments, which are essential for the stability and function of the tooth.
Cementum is composed of a complex mixture of minerals, including hydroxyapatite, and organic components such as collagen fibers.
This unique composition allows cementum to undergo continuous remodeling and adaptation throughout an individual's lifetime.
This remodeling process is important for maintaining the integrity of the tooth-periodontal ligament-bone complex, known as the periodontium.
Cementum research is crucial for understanding various dental and periodontal conditions, such as periodontal disease, tooth movement, and dental implant integration.
Periodontal disease can lead to the destruction of cementum, resulting in tooth loss, while tooth movement, such as orthodontic treatment, can alter the structure and function of cementum.
Additionally, the integration of dental implants with the surrounding bone and cementum is essential for their long-term success and stability.
To further advance the field of dental cementum research, researchers utilize various tools and techniques, such as Isomet, FBS, C&B Metabond, Isomet 1000, Grip Cement, ProRoot MTA, Stereotaxic frame, D8 Advance, and Biodentine.
These tools and materials help researchers analyze the structure, composition, and function of dental cementum, as well as develop new treatments and interventions for dental and periodontal conditions.
By exploring the latest advancements in dental cementum research, clinicians and researchers can enhance their understanding of this crucial dental tissue and develop more effective strategies for maintaining oral health and improving patient outcomes.
The PubCompare.ai platform can be a valuable resource for locating the best protocols and the most up-to-date information in this field, ultimately advancing our knowledge and improving patient care.