Relevant bibliographies by topics / Gingivitis detection

Academic literature on the topic 'Gingivitis detection'

Author: Grafiati
Published: 10 December 2022
Last updated: 28 January 2023

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Journal articles on the topic "Gingivitis detection"

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Paqué, Pune N., Christopher Herz, Daniel B. Wiedemeier, Konstantinos Mitsakakis, Thomas Attin, Kai Bao, Georgios N. Belibasakis, et al. "Salivary Biomarkers for Dental Caries Detection and Personalized Monitoring." Journal of Personalized Medicine 11, no. 3 (March 23, 2021): 235. http://dx.doi.org/10.3390/jpm11030235.

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This study investigated the potential of salivary bacterial and protein markers for evaluating the disease status in healthy individuals or patients with gingivitis or caries. Saliva samples from caries- and gingivitis-free individuals (n = 18), patients with gingivitis (n = 17), or patients with deep caries lesions (n = 38) were collected and analyzed for 44 candidate biomarkers (cytokines, chemokines, growth factors, matrix metalloproteinases, a metallopeptidase inhibitor, proteolytic enzymes, and selected oral bacteria). The resulting data were subjected to principal component analysis and used as a training set for random forest (RF) modeling. This computational analysis revealed four biomarkers (IL-4, IL-13, IL-2-RA, and eotaxin/CCL11) to be of high importance for the correct depiction of caries in 37 of 38 patients. The RF model was then used to classify 10 subjects (five caries-/gingivitis-free and five with caries), who were followed over a period of six months. The results were compared to the clinical assessments of dental specialists, revealing a high correlation between the RF prediction and the clinical classification. Due to the superior sensitivity of the RF model, there was a divergence in the prediction of two caries and four caries-/gingivitis-free subjects. These findings suggest IL-4, IL-13, IL-2-RA, and eotaxin/CCL11 as potential salivary biomarkers for identifying noninvasive caries. Furthermore, we suggest a potential association between JAK/STAT signaling and dental caries onset and progression.
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OTERO, Renata A., Flávia N. N. NASCIMENTO, Ivete P. R. SOUZA, Raquel C. SILVA, Rodrigo S. LIMA, Tatiana F. ROBAINA, Fernando P. CÂMARA, Norma SANTOS, and Gloria F. CASTRO. "LACK OF ASSOCIATION BETWEEN HERPESVIRUS DETECTION IN SALIVA AND GINGIVITIS IN HIV‑INFECTED CHILDREN." Revista do Instituto de Medicina Tropical de São Paulo 57, no. 3 (June 2015): 221–25. http://dx.doi.org/10.1590/s0036-46652015000300007.

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The aims of this study were to compare the detection of human herpesviruses (HHVs) in the saliva of HIV-infected and healthy control children, and to evaluate associations between viral infection and gingivitis and immunodeficiency. Saliva samples were collected from 48 HIV-infected and 48 healthy control children. Clinical and laboratory data were collected during dental visits and from medical records. A trained dentist determined gingival indices and extension of gingivitis. Saliva samples were tested for herpes simplex virus types 1 and 2 (HSV-1 and HSV-2), varicella zoster virus (VZV), Epstein-Barr virus (EBV), and cytomegalovirus (CMV) by nested polymerase chain reaction assays. Thirty-five HIV-infected and 16 control children had gingivitis. Seventeen (35.4%) HIV-infected children and 13 (27%) control children were positive for HHVs. CMV was the most commonly detected HHV in both groups (HIV-infected, 25%; control, 12.5%), followed by HSV-1 (6.2% in both groups) and HSV-2 (HIV-infected, 4.2%; control, 8.3%). The presence of HHVs in saliva was not associated with the presence of gingivitis in HIV-1-infected children (p = 0.104) or healthy control children (p = 0.251), or with immunosuppression in HIV-infected individuals (p = 0.447). Gingivitis was correlated with HIV infection (p = 0.0001). These results suggest that asymptomatic salivary detection of HHVs is common in HIV-infected and healthy children, and that it is not associated with gingivitis.
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Mendoza-Cantú, Alejandra, Víctor Hugo Urrutia-Baca, Cynthia Sofía Urbina-Ríos, Myriam Angélica De la Garza-Ramos, Martha Elena García-Martínez, and Hilda H. H. Torre-Martínez. "Prevalence ofHelicobacter pylori vacAGenotypes andcagAGene in Dental Plaque of Asymptomatic Mexican Children." BioMed Research International 2017 (2017): 1–10. http://dx.doi.org/10.1155/2017/4923640.

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The variability inHelicobacter pylori vacAandcagAgenes has been related to the progression of the gastrointestinal disease; also the presence ofH. pyloriin the oral cavity has been associated with periodontal disease in adults, but, in children without dyspeptic symptoms, little is known about this. We evaluated the prevalence ofH. pyloriand the presence ofvacA/cagAgenotypes in the oral cavity of Mexican children without dyspeptic symptoms. The gingival status was measured, and dental plaque samples (n=100) were taken. 38% of children were positive forH. pylori16S rRNA gene by qPCR. A significant association betweenH. pylorioral infection and gingival status was observed (P<0.001). In 34.6% (9/26) of mild gingivitis cases,s1m2genotype was found, whiles1m1was typed in 50% (3/6) of moderate gingivitis. ThecagAprevalence amongH. pylori-positive children was 80.8% (21/26), 83.3% (5/6), and 16.7% (1/6) of cases of mild gingivitis, moderate gingivitis, and nongingivitis, respectively (P<0.001). Thes1m1/cagA+ combinational genotype was the most detected in children with gingivitis. Our results suggest that the prevalence ofH. pyloriand detection ofvacA/cagAgenotypes-associated gastrointestinal disease in the oral cavity could be related to the progression of gingivitis in asymptomatic children.
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Han, Pingping, Andrew Lai, Carlos Salomon, and Sašo Ivanovski. "Detection of Salivary Small Extracellular Vesicles Associated Inflammatory Cytokines Gene Methylation in Gingivitis." International Journal of Molecular Sciences 21, no. 15 (July 24, 2020): 5273. http://dx.doi.org/10.3390/ijms21155273.

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Salivary small extracellular vesicles (sEV) are emerging as a potential liquid biopsy for oral diseases. However, technical difficulties for salivary sEV isolation remain a challenge. Twelve participants (five periodontally healthy, seven gingivitis patients) were recruited and salivary sEV were isolated by ultracentrifuge (UC-sEV) and size exclusion chromatography (SEC-sEV). The effect of UC and SEC on sEV yield, DNA methylation of five cytokine gene promoters (interleukin (IL)−6, tumor necrosis factor (TNF)-α, IL−1β, IL−8, and IL−10), and functional uptake by human primary gingival fibroblasts (hGFs) was investigated. The results demonstrated that SEC-sEV had a higher yield of particles and particle/protein ratios compared to UC-sEV, with a minimal effect on the detection of DNA methylation of five cytokine genes and functional uptake in hGFs (n = 3). Comparing salivary sEV characteristics between gingivitis and healthy patients, gingivitis-UC-sEV were increased compared to the healthy group; while no differences were found in sEV size, oral bacterial gDNA, and DNA methylation for five cytokine gene promoters, for both UC-sEV and SEC-sEV. Overall, the data indicate that SEC results in a higher yield of salivary sEV, with no significant differences in sEV DNA epigenetics, compared to UC.
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Barbosa, Mariane C. F., Caio L. B. Reis, Célia M. C. F. Lopes, Isabela R. Madalena, Erika C. Küchler, Flares Baratto-Filho, Carmen L. M. Storrer, Daniela C. Lima, and Daniela S. B. Oliveira. "Assessing the Association Between Nutritional Status, Caries, and Gingivitis in Schoolchildren: A Cross-Sectional Study." Global Pediatric Health 8 (January 2021): 2333794X2110012. http://dx.doi.org/10.1177/2333794x211001237.

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Objective. To evaluate if nutritional status is associated with caries and gingivitis in Brazilian schoolchildren. Material and methods. Children of both genders, age ranging from 8 to 11 years old, were included in this study. Caries was diagnosed using ICDAS (International System for Detection and Assessment of Carious Lesions) and gingivitis was diagnosed using the Community Periodontal Index. The nutritional status of each child was defined by BMI Z-score calculation. Data on oral health behavior and dietary habit were collected through parent’s questionnaires. Parametric analyzes were performed to compare the groups. The established alpha was 5%. Results. The sample consisted of 353 schoolchildren: 16 underweight children, 247 eutrophic children, 64 overweight children, and 26 were obese children. Overweight, Obese and Overweight + Obese children presented less cavitated caries lesion than Eutrophic children ( P < .05). Gingivitis was not associated with nutritional status ( P > .05). Conclusion. Caries was associated with overweight and obesity in Brazilian schoolchildren.
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Sitdikova, Olesya, Milyausha Kabirova, and Oksana Gubina. "THE IMPORTANCE OF CYTOKINES OF ORAL FLUID AND PERIODONTOPATHOGENIC MICROBIOTA IN THE DEVELOPMENT OF GINGIVITIS AGAINST THE BACKGROUND OF PSYCHOEMOTIONAL STRESS IN CADETS OF THE DEPARTMENTAL INSTITUTE." Actual problems in dentistry 17, no. 3 (November 12, 2021): 40–47. http://dx.doi.org/10.18481/2077-7566-21-17-3-40-47.

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Subject. Such a cytokine as transforming factor β (TFRß) deserves special attention in stress-induced gingivitis, since there are observations indicating its ability to stimulate the differentiation of myofibroblasts, which results in an increase in collagen production, the development of fibrous changes in the gum, which ultimately lead to tooth loss. Goal. The aim is to determine the relationship between the development of signs of depression, the frequency of detection of periodontal pathogenic bacteria and the spectrum of cytokines that play a likely role in the pathogenesis of gingivitis in cadets of the departmental institute under conditions of psychoemotional stress. Methodology. Psychological testing, clinical dental and laboratory examinations of 71 cadets of the departmental institute (41 women, 30 men) aged from 18 to 23 years were conducted. The detection of depression was carried out using the A. Beck scale, reactive and personal anxiety — Ch. Spielberger — Y.L. Khanin. To assess the periodontal condition, traditional hygienic and periodontal indices (OHI-s, RNR, PMA) were used. Identification of the marker DNA of periodontal pathogenic bacteria was carried out using a polymerase chain reaction using a test kit "Multident-5" manufactured by NPF GenLab (Russia). The content of cytokines in saliva was determined by solid-phase enzyme immunoassay. For the detection of IL-1β, IL-4, IL-10, IL-12, IFNu, TNFa, sets of NPO "Vector Best" (Russia) were used, for the cytokine TFRß — from Biosource (Canada). Results. It was found that the development of depression and gingivitis is accompanied by changes in the cytokine status, the main pathogenetic significance is IL-1β and TFRß, and the auxiliary is IL-12 and TNFa. At the same time, the cytokines IL-1β and TNFa are associated with the severity of the course of gingivitis. Conclusions. A correlation was established for the cytokines IL-1β, TNFa and TFRß with the first-order periodontopathogenic species A actinomycetemcomitans and T. forsythia.
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Han, Pingping, Peter Mark Bartold, Carlos Salomon, and Sašo Ivanovski. "Salivary Outer Membrane Vesicles and DNA Methylation of Small Extracellular Vesicles as Biomarkers for Periodontal Status: A Pilot Study." International Journal of Molecular Sciences 22, no. 5 (February 28, 2021): 2423. http://dx.doi.org/10.3390/ijms22052423.

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Periodontitis is an inflammatory disease, associated with a microbial dysbiosis. Early detection using salivary small extracellular vesicles (sEVs) biomarkers may facilitate timely prevention. sEVs derived from different species (i.e., humans, bacteria) are expected to circulate in saliva. This pilot study recruited 22 participants (seven periodontal healthy, seven gingivitis and eight periodontitis) and salivary sEVs were isolated using the size-exclusion chromatography (SEC) method. The healthy, gingivitis and periodontitis groups were compared in terms of salivary sEVs in the CD9+ sEV subpopulation, Gram-negative bacteria-enriched lipopolysaccharide (LPS+) outer membrane vesicles (OMVs) and global DNA methylation pattern of 5-methylcytosine (5mC), 5-hydroxymethylcytosine (5hmC) and N6-Methyladenosine (m6dA). It was found that LPS+ OMVs, global 5mC methylation and four periodontal pathogens (T. denticola, E. corrodens, P. gingivalis and F. nucleatum) that secreted OMVs were significantly increased in periodontitis sEVs compared to those from healthy groups. These differences were more pronounced in sEVs than the whole saliva and were more superior in distinguishing periodontitis than gingivitis, in comparison to healthy patients. Of note, global 5mC hypermethylation in salivary sEVs can distinguish periodontitis patients from both healthy controls and gingivitis patients with high sensitivity and specificity (AUC = 1). The research findings suggest that assessing global sEV methylation may be a useful biomarker for periodontitis.
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Sulaiman, Aws Ibrahim. "Molecular Identification of Fusobacterium Isolates and limitation of Biofilm Formation Adhesion Gene (fadA) in Dental Outpatients." Baghdad Science Journal 16, no. 4 (December 1, 2019): 0843. http://dx.doi.org/10.21123/bsj.2019.16.4.0843.

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Fusobacterium are compulsory anaerobic gram-negative bacteria, long thin with pointed ends, it causes several illnesses to humans like pocket lesion gingivitis and periodontal disease; therefore our study is constructed on molecular identification and detection of the fadA gene which is responsible for bacterial biofilm formation. In this study, 10.2% Fusobacterium spp. were isolated from pocket lesion gingivitis. The isolates underwent identification depending on several tests under anaerobic conditions and biochemical reactions. All isolates were sensitive to Imipenem (IPM10) 42.7mm/disk, Ciprofloxacin (CIP10) 27.2mm/disk and Erythromycin (E15) 25mm/disk, respectively. 100% of Fusobacterium spp. isolates had 16S rDNA gene (360bp.), whereas two isolates had fadA gene (232bp.)
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Hong, Inpyo, Hyung-Chul Pae, Young Woo Song, Jae-Kook Cha, Jung-Seok Lee, Jeong-Won Paik, and Seong-Ho Choi. "Oral Fluid Biomarkers for Diagnosing Gingivitis in Human: A Cross-Sectional Study." Journal of Clinical Medicine 9, no. 6 (June 3, 2020): 1720. http://dx.doi.org/10.3390/jcm9061720.

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Diagnoses based on oral fluid biomarkers have been introduced to overcome limitations of periodontal probe-based diagnoses. Diagnostic ability of certain biomarkers for periodontitis have been identified and widely studied, however, such studies targeting gingivitis is scarce. The aims of this study were to determine and compare the efficacies and accuracies of eight biomarkers in diagnosing gingivitis with the aid of receiver operating characteristic (ROC) curves. The probing depth (PD), clinical attachment loss (CAL), bleeding on probing (BOP), gingival index (GI), and plaque index (PI) were examined in 100 participants. Gingival crevicular fluid was collected using paper points, and whole-saliva samples were collected using cotton roll. Samples were analyzed using enzyme-linked immunosorbent assay kits for the different biomarkers. The levels of matrix metalloproteinase (MMP)-8, MMP-9, lactoferrin, cystatin C, myeloperoxidase (MPO), platelet-activating factor, cathepsin B, and pyridinoline cross-linked carboxyterminal telopeptide of type I collagen were analyzed. MPO and MMP-8 levels in saliva were strongly correlated with gingivitis, with Pearson’s correlation coefficients of 0.399 and 0.217, respectively. The area under the curve (AUC) was largest for MMP-8, at 0.814, followed by values of 0.793 and 0.777 for MPO and MMP-9, respectively. The clinical parameters of GI and PI showed strong correlations and large AUC values, whereas PD and CAL did not. MMP-8 and MPO were found to be effective for diagnosing gingivitis. Further investigations based on the results of this study may identify clinically useful biomarkers for the accurate and early detection of gingivitis.
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Yan, Yan. "Gingivitis detection by fractional Fourier entropy with optimization of hidden neurons." International Journal of Cognitive Computing in Engineering 1 (June 2020): 36–44. http://dx.doi.org/10.1016/j.ijcce.2020.09.003.

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Book chapters on the topic "Gingivitis detection"

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Yan, Yan, and Elijah Nguyen. "Gingivitis Detection by Fractional Fourier Entropy and Standard Genetic Algorithm." In Intelligent Computing Theories and Application, 585–96. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-60799-9_53.

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Yan, Yan. "Gingivitis Detection by Wavelet Energy Entropy and Linear Regression Classifier." In Intelligent Computing Theories and Application, 185–97. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-84532-2_17.

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Conference papers on the topic "Gingivitis detection"

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A. Rashid, Sirwan, Sawsan Muhammed Sorchee, Mustafa D. Yonus, and Omar F. Bahjat. "Identification Biofilm Producers s. Aureus Isolates and Detect their Biofilm Genes from Gingivitis Cases." In 4th International Conference on Biological & Health Sciences (CIC-BIOHS’2022). Cihan University, 2022. http://dx.doi.org/10.24086/biohs2022/paper.586.

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Gingivitis is one of the most common oral disorders and is caused by the accumulation of plaque in people with poor oral hygiene. The purpose of this study is to detect Staphylococcus aureus biofilm producers in cases of gingivitis and detect their biofilm genes. During the months of November 2018 and February 2019, a sample of fifty patients diagnosed clinically with gingivitis were collected from the laboratory of the Faculty of Dentistry at Hawler Medical University. Using the traditional culture method and vitek 2, eleven S. aureus bacteria isolates were identified. Using the Congo red agar method, biofilm detection was performed to test the ability to form biofilm. The S. aureus isolates were put through a series of tests to see if the genes responsible for the biofilm could be found (PCR). Biofilm formation method of detection using Congo red agar showed that 10 (90.1%) of S. aureus were biofilm positive and one 1 (9.1%) were biofilm negative. As well as the results of molecular analysis by using PCR showed that isolated S. aureus were carried biofilm genes icaC (100%), icaD (100%), cna (90.9%) and fnba (100%). Gingivitis is one of the most common oral diseases in our area, and this research found that the majority of S. aureus isolates carry the icaC, icaD, cna, and fnba Biofilm genes.
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Yan, Yan. "Gingivitis detection by Fractional Fourier Entropy and Biogeography-based Optimization." In 2020 IEEE/ACM 13th International Conference on Utility and Cloud Computing (UCC). IEEE, 2020. http://dx.doi.org/10.1109/ucc48980.2020.00051.

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