Antifungal Therapy in Patient with Oral Candidiasis

Kim, Hae Yong; Kang, Jae Kook; Im, Yeong Gwan; Kim, Byung Gook; Kim, Hye-Eun; Cho, Hye Joung; QIAOCHU, SUN; Ahn, Kyu Hyeon; SHUHAN, SHI; Kim, Nam Keun

doi:10.17779/kaomp.2017.41.2.004

Cited by 2 publications

(8 citation statements)

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“…These studies were published between 2009 and 2023 (Table 1). In summary, 13 studies used a case-control approach to identify salivary biomarkers for the diagnosis of periodontitis [27,[32][33][34][39][40][41][42][43][44][45][46][47], while 2 studies investigated changes in the salivary proteome of periodontitis patients following non-surgical periodontal treatment [48,49]. S1.…”

Section: Results Of Literature Searchmentioning

confidence: 99%

“…The Newcastle-Ottawa Scale (NOS) was used to assess the quality of all shortlisted case-control studies (n = 13) [27,[32][33][34][39][40][41][42][43][44][45][46][47]. Details of the NOS results are displayed in Table S3.…”

Section: Risk-of-bias Assessmentmentioning

confidence: 99%

“…Six studies demonstrated a low risk of bias in terms of the representativeness of the cases, as they selected participants either consecutively or randomly [32,33,41,44,45,47]. Five studies showed high comparability by matching subjects based on age, gender, and the absence of systemic diseases [27,33,34,40,45], while eight studies showed moderate comparability by pairing control subjects solely based on the absence of systemic diseases (Table S3). No study adopted secure recordkeeping or a blinded interview (questionnaire) for ascertaining exposure factors, such as systemic diseases and smoking.…”

Section: Risk-of-bias Assessmentmentioning

confidence: 99%

“…Variation in type of saliva sample utilized in proteomic analyses may lead to a distinct proteomic profile, consequently resulting in the identification of different biomarkers [26,52]. In the context of this review, unstimulated whole saliva (UWS) samples were collected for proteomic analysis in all five AP cohorts [32,34,[40][41][42]. Conversely, the seven cohorts that focused on CP employed UWS samples [39][40][41][42]44,45,47], while the remaining four cohorts utilized stimulated whole saliva (SWS) samples [27,33,43,46].…”

Section: Study Protocolmentioning

confidence: 99%

“…In the context of this review, unstimulated whole saliva (UWS) samples were collected for proteomic analysis in all five AP cohorts [32,34,[40][41][42]. Conversely, the seven cohorts that focused on CP employed UWS samples [39][40][41][42]44,45,47], while the remaining four cohorts utilized stimulated whole saliva (SWS) samples [27,33,43,46]. Notably, in the two studies investigating the monitoring of periodontal treatment response, one study used SWS samples [48], while the other used UWS samples [49].…”

Section: Study Protocolmentioning

confidence: 99%

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Mass Spectrometry-Based Proteomics for Discovering Salivary Biomarkers in Periodontitis: A Systematic Review

Hu,

Leung

2023

IJMS

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Periodontitis is one of the primary causes of tooth loss, and is also related to various systemic diseases. Early detection of this condition is crucial when it comes to preventing further oral damage and the associated health complications. This study offers a systematic review of the literature published up to April 2023, and aims to clearly explain the role of proteomics in identifying salivary biomarkers for periodontitis. Comprehensive searches were conducted on PubMed and Web of Science to shortlist pertinent studies. The inclusion criterion was those that reported on mass spectrometry-driven proteomic analyses of saliva samples from periodontitis cohorts, while those on gingivitis or other oral diseases were excluded. An assessment for risk of bias was carried out using the Newcastle–Ottawa Scale and Quality Assessment of Diagnostic Accuracy Studies or the NIH quality assessment tool, and a meta-analysis was performed for replicable candidate biomarkers, i.e., consistently reported candidate biomarkers (in specific saliva samples, and periodontitis subgroups, reported in ≥2 independent cohorts/reports) were identified. A Gene Ontology enrichment analysis was conducted using the Database for Annotation, Visualization, and Integrated Discovery bioinformatics resources, which consistently expressed candidate biomarkers, to explore the predominant pathway wherein salivary biomarkers consistently manifested. Of the 15 studies included, 13 were case–control studies targeting diagnostic biomarkers for periodontitis participants (periodontally healthy/diseased, n = 342/432), while two focused on biomarkers responsive to periodontal treatment (n = 26 participants). The case–control studies were considered to have a low risk of bias, while the periodontitis treatment studies were deemed fair. Summary estimate and confidence/credible interval, etc. determination for the identified putative salivary biomarkers could not be ascertained due to the low number of studies in each case. The results from the included case–control studies identified nine consistently expressed candidate biomarkers (from nine studies with 230/297 periodontally healthy/diseased participants): (i) those that were upregulated: alpha-amylase, serum albumin, complement C3, neutrophil defensin, profilin-1, and S100-P; and (ii) those that were downregulated: carbonic anhydrase 6, immunoglobulin J chain, and lactoferrin. All putative biomarkers exhibited consistent regulation patterns. The implications of the current putative marker proteins identified were reviewed, with a focus on their potential roles in periodontitis diagnosis and pathogenesis, and as putative therapeutic targets. Although in its early stages, mass spectrometry-based salivary periodontal disease biomarker proteomics detection appeared promising. More mass spectrometry-based proteomics studies, with or without the aid of already available clinical biochemical approaches, are warranted to aid the discovery, identification, and validation of periodontal health/disease indicator molecule(s). Protocol registration number: CRD42023447722; supported by RD-02-202410 and GRF17119917.

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Section: Results Of Literature Searchmentioning

confidence: 99%

Section: Risk-of-bias Assessmentmentioning

confidence: 99%

Section: Risk-of-bias Assessmentmentioning

confidence: 99%

Section: Study Protocolmentioning

confidence: 99%

Section: Study Protocolmentioning

confidence: 99%

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Mass Spectrometry-Based Proteomics for Discovering Salivary Biomarkers in Periodontitis: A Systematic Review

Hu,

Leung

2023

IJMS

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Detection of Hidden Proximal Caries using Q-ray view in Primary Molars

Jeong¹,

Lee²,

Choi³

et al. 2015

THE JOURNAL OF THE KOREAN ACADEMY OF PEDTATRIC DENTISTRY

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The purpose of this study was to evaluate the ability of Q-ray view (All-in-one Bio, Seoul, Korea) in detection of proximal caries in primary molars with sound marginal ridges.Thirty two children aged 3-9 years (average 5.6 ± 1.3 years old) were chosen, and two examiners evaluated 100 proximal surfaces of primary molars with sound marginal ridges. The teeth were examined with; (a) visual examination, (b) Q-ray view, (c) DIAGNOdent (KaVo, Biberach, Germany) and (d) digital periapical radiography.Kappa statistic was used to assess the agreement between each examination method and the degree of caries progression. The kappa values for enamel caries were 0.15 (visual examination), 0.10 (Q-ray view), 0.25 (DIAGNOdent) and 0.68 (digital periapical radiography). The kappa values for dentinal caries were 0.34 (visual examination), 0.56 (Q-ray view), 0.44 (DIAGNOdent) and 0.70 (digital periapical radiography).Although Q-ray view showed low diagnostic ability in detection of enamel caries, it was effective in detection of hidden proximal caries extended into dentin. Q-ray view would be a useful and simple device which could aid pediatric dentists in detection of hidden proximal caries in primary molars especially when examining uncooperative children or disabled persons.

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Antifungal Therapy in Patient with Oral Candidiasis

Cited by 2 publications

References 0 publications

Mass Spectrometry-Based Proteomics for Discovering Salivary Biomarkers in Periodontitis: A Systematic Review

Mass Spectrometry-Based Proteomics for Discovering Salivary Biomarkers in Periodontitis: A Systematic Review

Detection of Hidden Proximal Caries using Q-ray view in Primary Molars

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