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Hard Palate

The hard palate is the bony structure that forms the roof of the mouth and separates the oral and nasal cavities.
It plays a crucial role in speech, swallowing, and taste perception.
Researchers studying the hard palate may investigate its anatomical features, developmental processes, pathological conditions, and functional impairments.
PubCompare.ai, the leading AI-driven platform, can help optimize hard palate research by providing powerful tools to easily locate the best protocols from literature, preprints, and patents.
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Most cited protocols related to «Hard Palate»

We constructed amplicon libraries from sponge samples that span the V4-V5 16S rRNA region (Supplementary Methods). Supplementary Table S1 describes the 16S-specific primers and the sequencing adaptors for paired-end sequencing on the Illumina MiSeq platform (Illumina Inc., San Diego, CA, USA) using 2 × 250 cycles. V3-V5 pyrosequencing reads (250 nt in length) from a publicly available oral microbiome study (The Human Microbiome Project Consortium, 2012b (link)) represent samples from nine sites in the human mouth and pharynx (subgingival plaque, supragingival plaque, buccal mucosa, keratinized gingiva, tongue dorsum, hard palate, saliva, palatine tonsils and throat).
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Publication 2014
Buccal Mucosa Dental Plaque Gingiva Hard Palate Homo sapiens Human Microbiome Microbiome Oligonucleotide Primers Oral Cavity Palatine Tonsil Pharynx Porifera RNA, Ribosomal, 16S Saliva Tongue
For dataset A1, A2, A3, and B1, the primary sample materials were collected from the COpenhagen Prospective Studies on Asthma in Childhood 2010 (COPSAC2010) mother-child cohort, following 700 children and their families from pregnancy into childhood, as previously described in detail [33 (link)]. In this study, we used fecal samples collected at ages 1 week (n = 95), 1 month (n = 361), and 1 year (n = 622); vaginal swabs collected at week 36 of pregnancy (n = 670); and hypopharyngeal aspirates (n = 144) collected at acute wheezy episodes in children with persistent wheeze aged 1–3 years, using a soft suction catheter passed through the nose. DNA was extracted using MoBio PowerSoil kits on an EpMotion 5075, amplified using a two-step PCR reaction with forward and reverse 16S V4 primers, and sequenced using 250bp paired-end sequencing on an Illumina MiSeq. A full description of the laboratory workflow and the bioinformatics pipeline is available in the Additional file 13.
To examine effects in smaller datasets, we subset datasets A1, A2, and A3 into 16 (small) and 50 samples (medium) by random sampling with recorded random seeds, resulting in datasets A1s–A3s and A1m–A3m. Additionally, we created a simulated dataset A4 by independent resampling of all OTUs across samples, without replacement, of dataset A3.
Additionally, for dataset B2, we used public data from the Human Microbiome Project [34 (link)], testing separation ability between the tongue dorsum (n = 316) and hard palate (n = 301) 16S V3-5 samples (http://hmpdacc.org/HMQCP/). For dataset B3, we used data from Pop et al. [35 (link)], downloaded from Bioconductor (http://bioconductor.org/packages/release/data/experiment/html/msd16s.html), testing separation between age groups 0–6 months (n = 112), 6–12 months (n = 308), 12–18 months (n = 173), 18–24 months (n = 146), and 24–60 months (n = 253).
To reduce sparsity of dataset B3, chimeras were rechecked using USEARCH v7.0.1090 [36 (link)] against the gold database [37 (link)], and 3624 chimeras (listed in Additional file 14: Table S2) were removed from the OTU table. Since a phylogenetic tree file was not published along with the OTU table and sample metadata from this paper, we built one using the supplied reference sequences as described in the “Bioinformatics” section of the Additional file 13. Due to issues with TMM normalization of this dataset (see the “Results” section), we agglomerated similar OTUs to reduce the sparsity as a sensitivity analysis. This was achieved by computing pairwise phylogenetic distances using the tree and grouping together all OTUs who were closer to each other than the 0.001 quantile of the distance distribution, see Additional file 1: Table S1. The OTUs were merged with the merge_taxa function in the R package phyloseq [38 (link)], using the OTU with the highest sum of counts as archetype.
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Publication 2016
Age Groups Asthma Catheters Child Chimera Feces Gold Hard Palate Human Microbiome Hypersensitivity Hypopharynx Mothers Nose Oligonucleotide Primers Plant Embryos Pregnancy Suction Drainage Tongue Trees Vagina Wheezing

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Publication 2019
Cells Forehead Genes Genome Gingiva Hard Palate Hypersensitivity Lip Malignant Neoplasms Mental Recall Mucosa, Mouth Neoplasms Oral Cavity Patients Python Ridge, Alveolar RNA Sequence Sublingual Region Tissues Tongue
Three groups of B6C3F1 mice (20/group) at the age of 8 weeks received DB[a,l]PDE in 30 μL DMSO (6 or 3 nmol) or DMSO administered topically into the oral cavity using a micropipette 3 time a week for 38 weeks. Another group was left untreated. Mice were weighed weekly until termination at 42 weeks after the first carcinogen administration. During the progress of the bioassay, mice were culled from the group and sacrificed if we observed a sudden weight loss of more than 20 % or a tumor size exceeding 2 cm in diameter. At termination, mice were sacrificed by CO2 asphyxiation and soft tissues of the oral cavity including tongue, pharynx, and other oral tissues (hard palate, buccal mucosa, and floor of mouth) were collected and fixed in 10% neutral buffered formalin. Tissues were processed in an automated Tissue-Tek VIP processor and paraffin-embedded with a Tissue-Tek TEC embedding station. Sections were cut at 6 μm for routine hematoxylin and eosin (H&E) staining. All tissues were examined by an ACVP diplomate pathologist blinded to treatment and were graded for the presence of hyperplasia, dysplasia, carcinoma in situ (CIS), or invasive squamous cell carcinoma (SCC) according to established criteria 20 .
Publication 2013
Asphyxia Biological Assay Carcinogens Carcinoma in Situ Eosin Formalin Hard Palate Hematoxylin Hyperplasia Mucosa, Mouth Mus Neoplasms Oral Cavity Paraffin Embedding Pathologists Pharynx Squamous Cell Carcinoma Sublingual Region Sulfoxide, Dimethyl Tissues Tongue
Female B6C3F1 mice (Jackson Laboratories, Bar Harbor, ME), 6 weeks of age, were used in this study. The bioassays were carried out in accordance with NIH Guide for the Care and Use of Laboratory Animals and were approved by Institutional Animal Care and Use Committee. Initially, short-term studies were performed to determine whether our HPLC-MS/MS method is sensitive enough to detect DNA adducts in vivo in the oral tissues of treated mice. A group of three mice was treated with 12 nmol of DB[a,l]PDE topically into the oral cavity, and sacrificed at 48 h after the treatment. Another group of three mice was treated with 240 nmol DB[a,l]P per day for 2 days, sacrificed at 24 h after the second carcinogen dose. Finally, we carried out a time-course study and mice were treated with 24 nmol DB[a,l]P topically into the oral cavity 3 times per week for 5 weeks. Six animals per group were sacrificed at 48 h, 1, 2 and 4 weeks after the last dose. At termination, mice were sacrificed by CO2 asphyxiation; soft tissues of the oral cavity, including buccal mucosa, floor of the mouth as well as soft tissues attached to the hard palate, were collected and pooled together for DNA adduct analysis.
Publication 2011
Animals Animals, Laboratory Asphyxia Biological Assay Carcinogens DNA Adducts Females Hard Palate High-Performance Liquid Chromatographies Institutional Animal Care and Use Committees Mice, House Mucosa, Mouth Oral Cavity Sublingual Region Tandem Mass Spectrometry Tissues

Most recents protocols related to «Hard Palate»

It has been reported that the scanning of fetal hard palate was completed by the axial transverse views method, but this method has high requirements on fetal position and only focuses on the hard palate. In order to more easily display the complete structure of the palate [5 (link)], based on the characteristics of the ultrasonic beam and the fetal oral anatomy, we designed “sequential sector-scan through oral fissure” scanning method (Fig. 2) [6 ]. First, adjust the direction of the beam according to the position of the fetal, so that the beam is directly in front of the fetal face, If the fetal position is poor, the sound beam can be adjusted to the side front. The acoustic beam was placed on the superior margin of the submaxilla parallel to the lower alveolar ridge plane through the oral fissure (Fig. 2, cross-Sect. 1). Then, the probe that pivoted from the superior margin of the submaxilla slightly tilted to head side, and soft palate (Fig. 2: cross-Sect. 2), hard palate (Fig. 2: cross-Sect. 3) and upper alveolar ridge (Fig. 2: cross-section of 4)will be displayed in sequence. The integrity of the palate was observed by dynamic sequential sector scanning.

Scanning method design of SSTOF. 1/2/3/4 respectively represent continuous sequence sections. The evaluation was based on the dynamic scanning video, and the still picture was only the schematic diagram of the four anatomical marks captured in the vide

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Publication 2023
Acoustics Care, Prenatal Face GZMB protein, human Hard Palate Head Palate Palate, Soft Ridge, Alveolar Sound Ultrasonics
We hereby present the cases of three adult patients who underwent reconstructive surgery of the palate by means of a folded RFFF (Figs. 1 and 2). The flap was harvested from the patient’s nondominant forearm after the Allen test for blood flow was performed to exclude that the loss of the radial artery blood flow would lead to hand ischemia. The shape of the flap was generally rectangular although its actual dimension was determined by the entity of the defect. The width of the flap should be double the length between the palatine margin of the resection and the posterior wall of the oropharynx; normally it tends to be ~8 cm wide (Fig. 3). The length of the flap, which instead depends on the entity of the involvement of the tonsillar pillars, fell between 4 and 5 cm, as those structures were not involved in the cases examined, and the defects were limited to the soft palate. The flap was harvested, maintaining two venous drainage systems, including both the venae comitantes and the cephalic vein.
The flap was inset after it was folded in half and the cut edge was positioned anteriorly; it was sutured to the hard palate (Fig. 4). The folded side of the flap was sutured after the median portion on the posterior wall of the oropharynx was de-epithelialized to stabilize the flap and to reduce the risk of oronasal reflux. Two silicone tubes reaching the distal margin of the reconstruction were positioned at the nasal apertures (choanae) to ensure the patency of the pharynx and to preserve nasal breathing (Fig. 5). The vascular pedicles run laterally in the paramedian region to the tonsillar pillars (Fig. 6). Vascular anastomoses with the facial artery and branches of the thyrolinguofacial trunk were carried out. The silicone tubes were kept in place for 30 days during the postoperative period to allow for the flap to stabilize.
After healing, the patients were evaluated with the scoring system of Hirose as far as phonation was concerned, and with the Seattle Questionnaire for swallowing function4 (link) (Tables 1 and 2). Patients were taken in charge by a speech therapist 20 days after surgery for a rehabilitation of about 6 months.
Publication 2023
Adult Arteries Arteries, Radial Blood Vessel Choanae Drainage Face Forearm Hard Palate Hematologic Tests Hemorrhage Ischemia Nose Oropharynxs Palate Palate, Soft Palatine Tonsil Patients Pharynx Phonation Reconstructive Surgical Procedures Rehabilitation Silicones Speech Surgical Anastomoses Surgical Flaps Surgical Margins Veins
- Case series
The cases of oral PMC diagnosed at the Oral Pathology Laboratory of the School of Dentistry, Federal University of Rio de Janeiro were obtained by reviewing the Institution's files for the period between 1958 and 2021. The study was approved by the Ethics Committee of the local Institution (No. 54005021.7.0000.5257). The patient's identity remained anonymous according to the ethical principles of the Declaration of Helsinki.
The following data were collected from the records of individuals: sex, age, skin color, occupation, time of evolution of the lesion, symptomatology, clinical aspects, anatomical location, and clinical differential diagnosis. For anatomical location and differential diagnosis, the unit of analysis was not the number of individuals, since each individual evaluated could have been affected at more than one anatomical site and the clinician may have formulated more than one diagnostic hypothesis. All cases were referred by dentists.
All cases of oral PCM from the period under study were included, and those with incomplete data were excluded. After selection of the cases, 5-mm thick sections were cut from the paraffin blocks, stained with hematoxylin-eosin (H&E), and re-examined under light microscopy by two lecturers of Oral and Maxillofacial Pathology (B.A.B.A.; M.J.R.) for diagnostic confirmation. Yeasts were identified after staining the tissue sections with the Grocott-Gomori methenamine silver.
- Literature review
Electronic searches were conducted in PubMed, Embase, Scopus, Web of Science, Latin American and Caribbean Center on Health Sciences Information (LILACS), and Brazilian Library of Dentistry (BBO) in February 21, 2022 and updated in July 6, 2022. The following combination of terms was used: (paracoccidioidomycosis OR “South American blastomycosis” OR “paracoccidioidal granuloma” OR “Lobo disease” OR “Lutz-Splendore-Almeida disease”) AND (“alveolar process” OR “alveolar ridge” OR “buccal mucosa” OR “buccal mucosal” OR “floor of the mouth” OR gingiva OR gingivae OR “hard palate” OR jaw OR jaws OR lip OR lips OR mandible OR mandibles OR maxilla OR maxillae OR mouth OR oral OR “oral cavity” OR “oral mucosa” OR “oral mucosae” OR oropharynges OR oropharynx OR palate OR perioral OR “soft palate” OR tongue OR tonsil OR tonsils). References that were duplicated across databases were found and eliminated with a command of the EndNote software (End Note® Online, Clarivate Analytics, Canada).
Inclusion criteria were retrospective studies and case series in which at least 10 cases of oral PCM had been included, without restriction of year of publication, language, or geographical region. Exclusion criteria were histopathological, immunohistochemical or molecular studies, in vitro studies (e.g., microbiological assays), and letters to the editor/comments/expert opinions, unless any of these types of publication provided sufficient and detailed clinicodemographic aspects about oral PCM cases.
An author (J.A.A.A.) read the included articles and extracted all data from the studies. A second author (B.A.B.A.) double-checked these data. If the authors disagreed, they discussed until the disagreement was resolved. For unresolved cases, another author (L.G.A.) was consulted. The following data were extracted from the articles included in the literature review: author(s) and year of publication, country, number of cases reported, individuals’ sex and age, anatomical location, evolution time, and treatment.
- Data analysis
Data were tabulated in Microsoft Office Excel 2019 (Microsoft® software, Redmond, WA, USA) and analyzed descriptively using GraphPad Prism version 8.0.0 for Windows (GraphPad software, San Diego, CA, USA).
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Publication 2023
Alveolar Process Biological Assay Biological Evolution Body Regions Caribbean People cDNA Library Dentist Diagnosis Differential Diagnosis Eosin Gender Gingiva Hard Palate Hexamine Silver Institutional Ethics Committees Jaw Light Microscopy Lip Mandible Maxilla Mucosa, Mouth Oral Cavity Oropharynxs Palate Palate, Soft Palatine Tonsil Paracoccidioidomycosis Paraffin prisma Ridge, Alveolar Skin Pigmentation Sublingual Region Tissues Tongue Yeasts
Patient CT scans were exported as DICOM radiotherapy structure (RTS) files and converted to Neuroimaging Informatics Technology Initiative (NIfTI) format for ease of use using the DICOMRTTool v.3.2.0 Python package 11 (link). In order to minimize observer exposure to irrelevant tissue, CT images were cropped to the cephalad border of the sternum and inferior border of the hard palate. In order to measure intraobserver variability, images from a random subset of 6 patients (4 with ENE present, 2 with ENE absent) were added twice in random positions of the final case set, leading to a total of 30 cases: 21 with ENE present and 9 with ENE absent.
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Publication Preprint 2023
Hard Palate Patients Python Radiotherapy Sternum Tissues X-Ray Computed Tomography
This study retrospectively analyzed the CT images data from 150 patients aged 18 years or older in the oral and maxillofacial clinic of regional trauma centers from 2016 to 2020 with a diagnosis of maxillofacial fractures. The inclusion criteria for collecting data from patients aged 18 years or older was due to the data availability in these centers. CT images confirmed maxillofacial fractures were based on a manual review of the clinical and radiological reports recorded in the trauma centers. The maxillofacial CT images were obtained with equipment from different manufacturers using standard imaging protocols. Two-dimensional planar reconstructions were performed in the frontal, sagittal, and oblique planes, parallel to the long axis of the orbits, hard palate and mandible. CT images contained a varied number of axial, sagittal and coronal views with slice thickness of 0.5–2 mm. in increments and a matrix size of 512 × 512 pixels. To develop the maxillofacial fracture detection models, CT images in this study were selected in a two-dimensional axial view of the bone window (window parameters – 2200/200 HU).
A total of 3,407 maxillofacial CT images of 150 patients admitted to trauma centers was divided into CT images containing maxillofacial fractures and CT images without fractures. Of these, 2407 CT images of maxillofacial fracture were distributed to three sites of the maxillofacial area: the frontal fracture of 712 images, the midfacial fracture of 949 images, and the mandibular fracture of 746 images. Another 1000 maxillofacial CT images without fractures were selected from slices of CT images without fracture lines or pathologic lesions.
All CT images were uploaded to the VisionMarker22 (Digital Storemesh, Bangkok, Thailand) server. VisionMarker is a private web application for image annotation; the public version is available on GitHub (GitHub, Inc., CA, USA). To build the CNN models, the maxillofacial fracture line or ground truth on CT images was reviewed and annotated by consensus of five oral and maxillofacial surgeons with more than 5 years of experience in maxillofacial trauma. For CT images containing maxillofacial fractures, rectangular bounding boxes were drawn around each fracture line and classified as frontal, midface and mandible class according to the location of fracture of frontal, midfacial and mandibular area, respectively (Fig. 1). And for CT images without fracture lines, all images were classified as no fracture. Manual annotations in 3 classes (frontal, midface and mandible) and no fracture (no Fx, without annotation) were used in the learning process of object detection, while multiclass classification (frontal, midface, mandible and no Fx classes) did not require bounding box annotations because the locations were not identified with a classifier. The bounded frontal, midface and mandibular fracture images were split by the accession number into the training, validation, and independent test sets using a 70:10:20 split, with a randomization by distribution to ensure an equal distribution of datasets.

The CNN workflow of data set construction, model building and evaluation. CNN convolutional neural network, CT computed tomography, Fx fracture.

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Publication 2023
Bones Diagnosis Epistropheus Fingers Fracture, Bone Hard Palate Mandible Mandibular Fractures Maxillofacial Injuries Oral and Maxillofacial Surgeons Orbit Patients Radiography Reconstructive Surgical Procedures X-Ray Computed Tomography

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More about "Hard Palate"

The hard palate is a crucial anatomical structure located at the roof of the mouth, serving a vital role in various physiological processes such as speech, swallowing, and taste perception.
Researchers investigating the hard palate may explore its anatomical features, developmental dynamics, pathological conditions, and functional impairments.
Synonymous terms for the hard palate include the palatal vault, palatal plate, and palatal shelf.
This bony structure separates the oral and nasal cavities, playing a pivotal part in the overall functioning of the craniofacial region.
Subtopics related to hard palate research may include: - Embryonic development and palatogenesis - Congenital anomalies like cleft palate - Biomechanical properties and morphological variations - Innervation and vascularization patterns - Speech production and swallowing mechanics - Taste bud distribution and gustatory function - Pathological conditions like palatal fistulas or tumors - Surgical interventions and prosthetic rehabilitation Technological advancements have greatly facilitated hard palate research.
Techniques such as Dispase II-mediated tissue dissociation, Brilliance 64 CT imaging, and DMEM/F12 cell culture media have enabled detailed anatomical and histological investigations.
Additionally, tools like the Accu-Cut SRM 200 Sakura microtomes, Meshmixer software, and RNAlater preservative have streamlined sample preparation and data analysis.
Dental and craniofacial researchers may also leverage the TRIOS 3 intraoral scanner, Leica cryostat, and Human Genome U133 Plus 2.0 Array to study the hard palate in both healthy and diseased states.
These state-of-the-art technologies, combined with the power of AI-driven platforms like PubCompare.ai, can elevate hard palate research to new heights, enhancing reproducibilty, accuracy, and ultimately, our understanding of this critical anatomical structure.
PubCompare.ai, the leading AI-driven platform, empowers researchers to optimize their hard palate investigations by providing intuitive tools to easily locate the best protocols from literature, preprints, and patents.
This can significantly enhance the rigor and efficiency of hard palate research, taking it to the next level of scientific discovery.