Abstract: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 o… Show more
“…The prevalence and damage generated by these bacteria are influenced by host protective factors, such as immune competence, the production and buffering capacity of saliva, and hygiene and dietary habits [ 5 ]. Mechanisms have been sought to diagnose the risk of caries based on these factors using software such as Cariogram [ 6 ] or through the identification of biomarkers [ 7 , 8 , 9 ]. However, a significant amount of new studies are required to evaluate the validity of caries biomarkers, among other things because tooth decay is a multi-factorial disease with genetic, environmental and microbial effects playing a role, and because of a large inter-individual variability that renders the task of finding universal caries markers [ 10 ].…”
Background:
Electrolytes, proteins, and other salivary molecules play an important role in tooth integrity and can serve as biomarkers associated with caries.
Objective:
To determine the concentration of potential biomarkers in children without caries (CF) and children with caries (CA).
Methods:
Unstimulated saliva was collected, and the biomarkers quantified in duplicate, using commercial Enzyme Linked Immunosorbent Assay (ELISA) kits to determine IgA, fibronectin, cathelicidin LL-37, and statherin levels, as well as colorimetric tests to detect formate and phosphate.
Results:
Significantly higher concentrations of statherin was detected in the CF group (Median: 94,734.6; IQR: 92,934.6–95,113.7) compared to the CA2 group (90,875.0; IQR: 83,580.2–94,633.4) (p = 0.03). Slightly higher median IgA (48,250.0; IQR: 31,461.9–67,418.8) and LL-37 levels (56.1; IQR 43.6–116.2) and a lower concentration of formate were detected in the CF group (0.02; IQR 0.0034–0.15) compared to the group with caries (IgA: 37,776.42; IQR: 33,383.9–44,128.5; LL-37: 46.3; IQR: 40.1011–67.7; formate: 0.10; IQR: 0.01–0.18), but these differences were not statistically significant.
Conclusion:
The fact that these compounds have been identified as good markers for caries among European adults highlights the difficulty of identifying universal biomarkers that are applicable to all ages or to different populations.
“…The prevalence and damage generated by these bacteria are influenced by host protective factors, such as immune competence, the production and buffering capacity of saliva, and hygiene and dietary habits [ 5 ]. Mechanisms have been sought to diagnose the risk of caries based on these factors using software such as Cariogram [ 6 ] or through the identification of biomarkers [ 7 , 8 , 9 ]. However, a significant amount of new studies are required to evaluate the validity of caries biomarkers, among other things because tooth decay is a multi-factorial disease with genetic, environmental and microbial effects playing a role, and because of a large inter-individual variability that renders the task of finding universal caries markers [ 10 ].…”
Background:
Electrolytes, proteins, and other salivary molecules play an important role in tooth integrity and can serve as biomarkers associated with caries.
Objective:
To determine the concentration of potential biomarkers in children without caries (CF) and children with caries (CA).
Methods:
Unstimulated saliva was collected, and the biomarkers quantified in duplicate, using commercial Enzyme Linked Immunosorbent Assay (ELISA) kits to determine IgA, fibronectin, cathelicidin LL-37, and statherin levels, as well as colorimetric tests to detect formate and phosphate.
Results:
Significantly higher concentrations of statherin was detected in the CF group (Median: 94,734.6; IQR: 92,934.6–95,113.7) compared to the CA2 group (90,875.0; IQR: 83,580.2–94,633.4) (p = 0.03). Slightly higher median IgA (48,250.0; IQR: 31,461.9–67,418.8) and LL-37 levels (56.1; IQR 43.6–116.2) and a lower concentration of formate were detected in the CF group (0.02; IQR 0.0034–0.15) compared to the group with caries (IgA: 37,776.42; IQR: 33,383.9–44,128.5; LL-37: 46.3; IQR: 40.1011–67.7; formate: 0.10; IQR: 0.01–0.18), but these differences were not statistically significant.
Conclusion:
The fact that these compounds have been identified as good markers for caries among European adults highlights the difficulty of identifying universal biomarkers that are applicable to all ages or to different populations.
“…All the studies have also managed to produce positive correlation between the salivary protein biomarkers and dental caries. One study included in this review has found 4 reliable salivary markers out of existing potential 44 biomarkers and was discovered to have great promise as classifiers for distinguishing between healthy individuals and caries patients [5]. They were Interleukins IL-4 and IL-13, the interleukin receptor IL-2-RA and the chemokines eotaxin/CCL11 [5].…”
Section: Discussionmentioning
confidence: 99%
“…One study included in this review has found 4 reliable salivary markers out of existing potential 44 biomarkers and was discovered to have great promise as classifiers for distinguishing between healthy individuals and caries patients [5]. They were Interleukins IL-4 and IL-13, the interleukin receptor IL-2-RA and the chemokines eotaxin/CCL11 [5]. Another included study has found a positive correlation between IL-6 exhibitions with caries prediction [10].…”
Section: Discussionmentioning
confidence: 99%
“…Salivary components that are genetically controlled may influence both the colonization and removal of microbes from the oral cavity [4]. Saliva is the primary habitat for oral microbes, and saliva microorganisms influence plaque structure and the development of caries lesions is not only driven by microorganisms but also the dietary habits which includes the frequency of carbohydrate intake, pH & stickiness of food debris and host factors such as salivary flow rates, immune responses, genetic predispositions & hygiene measures [5]. Salivary protein is considered as one important factor for monitoring health and illness.…”
Background: Saliva is a mixture of organic and inorganic components that comes in constant contact with the hard and soft tissues of the oral cavity. One of the most frequent disorders is dental caries, which is a multifactorial microbial disease of the tooth. Of which saliva plays a significant role in the process of dental caries.
Aim: To systematically identify and evaluate the ability of salivary biomarkers in detection of dental caries.
Methods: A comprehensive search was done using electronic data bases such as PubMed Central, Cochrane Database of Systematic Reviews, Google Scholar and direct web search. The title scan was used to find relevant articles, which were then read and appraised for inclusion. This review analyses all research that investigated the use of salivary protein biomarkers to detect dental caries.
Results: Electronic database search identified 16 articles. After evaluating the title, abstract, and full text of these articles, only 4 were selected for the present systematic review. A final of 4 studies were included based on the inclusion criteria to meet the research question. All the studies analyzed the salivary biomarkers in dental caries detection.
Conclusion: Salivary biomarkers are a significant indicator in detection of dental caries and can be used in determining the further treatment planning.
“…Paqué et al [15] investigated the potential of salivary bacterial and protein markers for evaluating the disease status in healthy individuals with caries. Saliva samples from caries and gingivitis-free individuals (n = 18), patients with deep caries lesions (n = 38) was collected and analysed for 44 candidate biomarkers namely: selected oral bacteria, growth factors, chemokines and proteolytic enzymes among others.…”
Dental Caries are one of the most prevalent chronic diseases around the globe. Detecting carious lesions is a challenging task. Conventional computer aided diagnosis and detection methods in the past have heavily relied on the visual inspection of teeth. These methods are only effective on large and clearly visible caries on affected teeth. Conventional methods have been limited in performance due to the complex visual characteristics of dental caries images, which consist of hidden or inaccessible lesions. The early detection of dental caries is an important determinant for treatment and benefits much from the introduction of new tools, such as dental radiography. In this paper, we propose a deep learning-based technique for dental caries detection namely: blob detection. The proposed technique automatically detects hidden and inaccessible dental caries lesions in bitewing radio-graphs. The approach employs data augmentation to increase the number of images in the data set to have a total of 11,114 dental images. Image pre-processing on the data set was through the use of Gaussian blur filters. Image segmentation was handled through thresholding, erosion and dilation morphology, while image boundary detection was achieved through active contours method. Furthermore, the deep learning based network through the sequential model in Keras extracts features from the images through blob detection. Finally, a convexity threshold value of 0.9 is introduced to aid in the classification of caries as either present or not present. The process of detection and classifying dental caries achieved the results of 97% and 96% for the precision and recall values, respectively.
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