Distinctive Lipid Characteristics of Colorectal Cancer Revealed through Non-targeted Lipidomics Analysis of Tongue Coating.

The metabolites and microbiota in tongue coating display distinct characteristics in certain digestive disorders, yet their relationship with colorectal cancer (CRC) remains unexplored. Here, we employed liquid chromatography coupled with tandem mass spectrometry to analyze the lipid composition of tongue coating using a nontargeted approach in 30 individuals with colorectal adenomas (CRA), 32 with CRC, and 30 healthy controls (HC). We identified 21 tongue coating lipids that effectively distinguished CRC from HC (AUC = 0.89), and 9 lipids that differentiated CRC from CRA (AUC = 0.9). Furthermore, we observed significant alterations in the tongue coating lipid composition in the CRC group compared to HC/CRA groups. As the adenoma-cancer sequence progressed, there was an increase in long-chain unsaturated triglycerides (TG) levels and a decrease in phosphatidylethanolamine plasmalogen (PE-P) levels. Furthermore, we noted a positive correlation between N-acyl ornithine (NAOrn), sphingomyelin (SM), and ceramide phosphoethanolamine (PE-Cer), potentially produced by members of the Bacteroidetes phylum. The levels of inflammatory lipid metabolite 12-HETE showed a decreasing trend with colorectal tumor progression, indicating the potential involvement of tongue coating microbiota and tumor immune regulation in early CRC development. Our findings highlight the potential utility of tongue coating lipid analysis as a noninvasive tool for CRC diagnosis.

Biology of tongue coating in different disease stages of RA and its value in disease progression.

OBJECTIVE: To assess and compare the composition of tongue coating microbiota among patients at different stages of rheumatoid arthritis (RA). METHODS: A total of 47 patients diagnosed with RA, as per the American College of Rheumatology criteria, and 10 healthy individuals were enrolled in this study. The RA patients were stratified considering their Disease Activity Score 28 (DAS28), a composite measure based on the 28 tender and swollen joint count and erythrocyte sedimentation rate (ESR). The study population was further categorized into active phase group (LMH group) and inactive phase group (RE group) according to their DAS28 values. DNA extraction was extracted from tongue coating samples. Subsequently, the V3-V4 16S rDNA region was selectively amplified and sequenced through high-throughput 16S rDNA analysis. The resulting data were then utilized to ascertain the microbial contents. RESULTS: Significant variations were observed in the tongue coating microbiota of patients with RA during active and inactive phases, in comparison to healthy individuals (p < 0.05). At the genus level, the presence of Prevotellan, Veillonella, Rothia, and Neisseria in RA patients was notably more evident than in the healthy control (HC) group. These disparities find support in existing research on gut and oral microbiota. During the active phase of RA, the relative abundance of Veillonella, Rothia, and Neisseria in the tongue coating microbiota of patients was significantly higher than in those with inactive RA. These findings underscore the need for further and in-depth research on the potential impact of these microorganisms on the progression of RA disease. CONCLUSION: The results substantiate the hypothesis that tongue coating microbes actively contribute to the progression of RA.

Tongue coating metabolic profiles of intra-oral halitosis patients.

OBJECTIVE: This study focused on the metabolic characteristics of tongue coating in patients with intra-oral halitosis (IOH) to investigate potential diagnostic biomarkers for IOH. METHODS: Oral healthy participants were enrolled in this study. Halitosis was evaluated with an organoleptic assessment, a Halimeter®, and an OralChroma™. Tongue coating samples were collected from 18 halitosis patients and 18 healthy controls. Liquid chromatography-mass spectrometry was conducted to reveal the IOH-related metabolic variations in tongue coating. RESULTS: A total of 2214 metabolites were obtained. Most metabolites were shared between the two groups. A total of 274 upregulated metabolites, such as paramethasone acetate and indole-3-acetic acid, and 43 downregulated metabolites, including deoxyadenosine and valyl-arginine, were detected in the halitosis group. Functional analysis indicated that several metabolic pathways, including arginine biosynthesis, arginine and proline metabolism, histidine metabolism, and lysine degradation were significantly enriched in the IOH group. The least absolute shrinkage and selection operator logistic regression analysis revealed that paramethasone acetate, {1-[2-(4-carbamimidoyl-benzoylamino)-propionyl]-piperidin-4-yloxy}-acetic acid, indole-3-acetic acid, and valyl-arginine were remarkably associated with IOH. CONCLUSIONS: This study revealed the metabolites present in tongue coating and identified effective biomarkers, providing essential insights into the prediction, pathogenesis, and diagnosis of IOH.

Microbiological characteristics of different tongue coatings in adults.

BACKGROUND: Tongue coating is an important health indicator in traditional Chinese medicine (TCM). The tongue coating microbiome can distinguish disease patients from healthy controls. To study the relationship between different types of tongue coatings and health, we analyzed the species composition of different types of tongue coatings and the co-occurrence relationships between microorganisms in Chinese adults. From June 2019 to October 2020, 158 adults from Hangzhou and Shaoxing City, Zhejiang Province, were enrolled. We classified the TCM tongue coatings into four different types: thin white tongue fur (TWF), thin yellow tongue fur (TYF), white greasy tongue fur (WGF), and yellow greasy tongue fur (YGF). Tongue coating specimens were collected and used for 16S rRNA gene sequencing using the Illumina MiSeq system. Wilcoxon rank-sum and permutational multivariate analysis of variance tests were used to analyze the data. The microbial networks in the four types of tongue coatings were inferred independently using sparse inverse covariance estimation for ecological association inference. RESULTS: The microbial composition was similar among the different tongue coatings; however, the abundance of microorganisms differed. TWF had a higher abundance of Fusobacterium periodonticum and Neisseria mucosa, the highest α-diversity, and a highly connected community (average degree = 3.59, average closeness centrality = 0.33). TYF had the lowest α-diversity, but the most species in the co-occurrence network diagram (number of nodes = 88). The platelet-to-lymphocyte ratio (PLR) was associated with tongue coating (P = 0.035), and the YGF and TYF groups had higher PLR values. In the co-occurrence network, Aggregatibacter segnis was the "driver species" of the TWF and TYF groups and correlated with C-reactive protein (P < 0.05). Streptococcus anginosus was the "driver species" in the YGF and TWF groups and was positively correlated with body mass index and weight (P < 0.05). CONCLUSION: Different tongue coatings have similar microbial compositions but different abundances of certain bacteria. The co-occurrence of microorganisms in the different tongue coatings also varies. The significance of different tongue coatings in TCM theory is consistent with the characteristics and roles of the corresponding tongue-coating microbes. This further supports considering tongue coating as a risk factor for disease.

Efficacy of 3% hydrogen peroxide solution in cleaning tongue coating before and after surgery: a randomized phase II study.

BACKGROUND: Increased bacterial presence in the tongue coating and thereby, the saliva, may be a risk factor for postoperative complications such as surgical site infection or postoperative pneumonia after cancer surgery. However, no method for cleaning tongue coating has been established experimentally. The purpose of this study was to verify the effect of brushing with 3% hydrogen peroxide on suppression of the number of bacteria in tongue coating. METHODS: Sixteen patients with gastric cancer or colorectal cancer undergoing surgery were randomly allocated to control and intervention groups. In the control group, the tongue was brushed for 30 s with a water-moistened toothbrush, while in the intervention group, the tongue was brushed for 30 s with a toothbrush moistened with 3% hydrogen peroxide. Bacterial counts on tongue coating were measured before and 30 s after cleaning the tongue coating using the Rapid Oral Bacteria Quantification System. RESULTS: In the control group, the number of bacteria on the tongue did not decrease significantly after tongue cleaning on the day before surgery, but did on the day after surgery. In contrast, in the intervention group, the number of bacteria on the tongue decreased significantly after tongue cleaning both on the day before and the day after surgery. Furthermore, when comparing the control and intervention groups, the intervention group had a greater reduction effect. CONCLUSIONS: Tongue brushing with 3% hydrogen peroxide is a useful method to reduce the number of bacteria on the tongue in patients with gastrointestinal cancer undergoing surgery. Trial registration jRCTs071200020 (July 3, 2020).

The theory of reasoned action in describing tongue cleaning adherence among college going students of Indie: A model guided study.

Background: Just mere brushing of teeth is not enough for maintaining good oral health. Regular cleaning of tongue is equally important for maintaining good oral hygiene and to escape social embarrassment and personal discomfort, which could arise as a result of halitosis. Objective: To test the variables of Theory of Reasoned Action to explain the behavior of tongue cleaning among college going students of Udaipur city, Rajasthan, India. Material and methods: A descriptive cross-sectional survey was conducted amongst 756 college going students of Udaipur city, India using an online self-administered structured questionnaire which was designed based on our study objectives. Logistic regression analysis and structural equation modelling (SEM) were employed for statistical analysis. Confidence level and level of significance were set at 95% and 5% respectively. Results: Logistic regression analysis showed that with one unit increase in subjective norm, the tongue cleaning behavior odds increased significantly by 1.124. Also, the tongue cleaning behavior odds was 1.77 times significantly greater among those brushing their teeth twice a day than those brushing once a day. Structural Equation modelling also evidenced the significant direct effect of subjective norm on tongue cleaning behavior (ß = 0.2, p≤0.05). Conclusion: Our results highlighted the importance of subjective norms in espousing tongue cleaning preventive behaviour habit. It is thus recommended to highpoint the role of significant others in changing tongue cleaning behaviour.

Variations of tongue coating microbiota in children with Henoch-Schönlein purpura nephritis.

BACKGROUND: Variations in the oral microbiota have been significantly correlated with the progress of autoimmune diseases, such as immunoglobulin A nephropathy and Henoch-Schönlein purpura (HSP). However, there is no report outlining the character of tongue coating microbiota variations in children with Henoch-Schönlein purpura nephritis (HSPN). METHOD: A total of 20 children with HSPN and 14 healthy controls were recruited for this research. Tongue coating samples of two groups were collected for 16S rRNA gene sequencing. The diversity, principal component analysis (PCA), nonmetric multidimensional scaling (NMDS), partial least squares discriminant analysis (PLS-DA), and linear discriminant analysis (LDA) effect size (LEfSe) were performed. Microbial function was assessed using the PICRUST. RESULTS: The ACE and Chao indices were greatly lower in the HSPN group than in the HG (P = 0.001). The Shannon and Simpson indices were dramatically reduced in children with HSPN compared with those in the healthy controls (P = 0.005). Bacteroidales, Selenomonadales, Lactobacillales, Fusobacteriales, Neisseriales, and Actinomycetales composed more than 80% of all sequences, while Bacteroidales was the most generous order in both groups. PCA, NMDS and PLS-DA showed a marked difference between the control and HSPN groups. LEfSe analysis showed alteration of tongue coating microbiota in the HSPN group. There were 30 metabolic functions significantly differed between the two groups. CONCLUSIONS: Children with HSPN have substantially various tongue coating microbiota compared to healthy controls. Even though this research does not indicate causality, it is beneficial to enhance the possibility for coming microbial-based treatments to enhance the clinical effects of HSPN in children.

Helicobacter pylori infection is associated with the co-occurrence of bacteria in the oral cavity and the gastric mucosa.

BACKGROUND: Pathogens capable of impacting gastrointestinal tract tumor development are located in the oral cavity, but whether these oral bacteria are able to colonize the gastric mucosa in gastric cancer (GC) patients and whether Helicobacter pylori infection can influence this process remains to be established. METHODS: Microbial 16S rDNA deep sequencing was conducted to characterize bacteria present in paired gastric mucosa and tongue coating samples in 27 patients with superficial gastritis (SG) and 11 GC patients. RESULTS: While the overall composition of the gastric mucosa and tongue coating microbiomes differed substantially, certain bacteria were present in both of these communities. The co-occurrence of bacteria between the tongue coating and gastric mucosa differed significantly between SG and GC patients. Of the 15 most abundant shared oral bacteria genera (the core shared oral bacteria), which were associated with differences in microbiota composition between these tongue coating and gastric mucosa, three were enriched in the gastric mucosa of GC patients relative to SG patients, whereas, 12 were depleted in GC patient samples. Furthermore, the prevalence and relative abundance of these core shared oral bacteria in the gastric mucosa were also linked to H. pylori infection status, and the core shared oral bacteria were also associated with the overall composition of the gastric mucosal microbiome. CONCLUSIONS: Helicobacter pylori infections are linked to the co-occurrence of bacteria in the oral microbiome and the gastric mucosal microbiome. Ectopic colonization of oral microbes may be a primary driver of H. pylori-induced gastric microbial dysbiosis in patients with GC.

Tongue Coating Bacteria as a Potential Stable Biomarker for Gastric Cancer Independent of Lifestyle.

BACKGROUND: Gastric cancer (GC) is one of the most common cancers, and the noninvasive diagnostic methods for monitoring GC are still lacking. Growing evidence shows that human microbiota has potential value for identifying digestive diseases. AIMS: The present study aimed to explore the association of the tongue coating microbiota with the serum metabolic features and inflammatory cytokines in GC patients and seek a potential, noninvasive biomarker for diagnosing GC. METHODS: The tongue coating microbiota was profiled by 16S rRNA and 18S rRNA genes sequencing technology in the original population with 181 GC patients and 112 healthy controls (HCs). Propensity score matching method was used to eliminate potential confounders including age, gender, and six lifestyle factors and a matching population with 66 GC patients and 66 HCs generated. Serum metabolomics profiling was performed by ultra-performance liquid chromatography tandem quadrupole time-of-flight mass spectrometry (UPLC-Q-TOF/MS) in the matching population. Random forest model was constructed for the diagnosis of GC. RESULTS: Linear discriminant analysis effect size (LEfSe) revealed that the differential bacterial taxa between GC patients and HCs in the matching population were similar to that in the original population, while the differential fungal taxa between GC patients and HCs dramatically changed before and after PSM. By random forest analysis, the combination of six bacterial genera (Peptostreptococcus, Peptococcus, Porphyromonas, Megamonas, Rothia, and Fusobacterium) was the optimal predictive model to distinguish GC patients from HCs effectively, with an area under the curve (AUC) value of 0.85. The model was verified with a high predictive potential (AUC = 0.76 to 0.96). In the matching population, eighteen specific HCs-enriched bacterial genera (Porphyromonas, Parvimonas, etc.) had negative correlations with lysophospholipids metabolites, and three of them had also negative correlations with serum IL-17α. CONCLUSIONS: The alteration of tongue coating microbiota had a possible linkage with the inflammations and metabolome, and the tongue coating bacteria could be a potential noninvasive biomarker for diagnosing GC, which might be independent of lifestyle.

Microbiome variations in preschool children with halitosis.

OBJECTIVE: To assess the bacterial characteristics associated with intra-oral halitosis among Chinese preschool children. METHODS: An epidemiological study was conducted among 273 preschool children (aged 3-4 years) in Shanghai, China, followed by the collection of 16 samples from the tongue coating of caries-free healthy and halitosis participants. The characterization of associated microbial communities was performed using 16S rRNA gene sequencing on the MiSeq. RESULTS: Halitosis was observed in 13.2% of the preschool children. No significant difference in terms of microbial diversity (p > .05) was detected in the control and halitosis groups. The dominant bacterial genera observed in both groups included Prevotella, Veillonella, Streptococcus, Neisseria, Actinomyces, Haemophilus, and Leptotrichia. The relative proportions of thirteen species (including Leptotrichia sp. HMT_417, Prevotella Pallens, and Alloprevotella rava) were significantly higher in the halitosis group compared with the control group, whereas the distribution of seventeen species from genera Streptococcus, Gemella, and Kingella showed a higher abundance in the control group. Further investigation of interactions among species demonstrated obvious differences in two groups, indicating that various microorganisms interact to produce halitosis in preschool children. CONCLUSIONS: Overall, halitosis is associated with multi-microbial mutual interactions. The oral flora microorganisms may exert potentiating or inhibiting effects on each other.

Mechanical tongue cleaning is a worthwhile procedure to improve the taste sensation.

BACKGROUND: There are still only a few therapeutic strategies to improve taste sensation, which is part of oral health and quality of life. OBJECTIVE: Therefore, here we aimed to investigate gustatory functions of healthy subjects performing mechanical tongue cleaning (MTC), an easy-to-perform oral hygiene procedure, to demonstrate taste changes and to describe possible negative side effects. METHODS: Prior to and 14 days following MTC with an Orabrush® , the following tests were conducted in 65 healthy participants including both non-smokers (n = 50, 76.9%) and smokers (n = 15, 23.1%): 'taste strips' test, the Winkel Tongue Coating Index (WTCI), and subjective self-assessment. RESULTS: Among non-smokers, subjective self-assessments of gustatory function (P < .01), halitosis (P = .03) and tongue coating (P < .01) improved after 14 days of MTC; furthermore, they exhibited higher total taste (P < .01) and lower WTCI (P < .01) values. Their age and sex did not correlate with the differences between the pre- and post-MTC WTCI scores; however, differences between pre- and post-MTC total taste values were correlated with age. The total taste value improvements were greater in non-smokers aged 45-91 years than in those aged 20-44 years (P = .01). In smokers, total taste values (P < .01), as well as sweet (P = .03) and sour (P = .04) taste values, were significantly improved after 14 days of MTC. CONCLUSION: Fourteen days of MTC using an Orabrush® can improve gustatory functions in non-smokers and smokers. Therefore, MTC might be a useful, costless and easy option to improve taste and should be considered as a part of the daily oral care.

Tongue cleaning in the elderly and its role in the respiratory and swallowing functions: Benefits and medical perspectives.

Oral dysfunction, including oral uncleanness and decline in tongue motor function, tongue pressure and swallowing function, precedes frailty. The tongue's dorsum is a reservoir of oral microbiota, desquamated epithelial mucosa and leukocytes due to the multi-papillate anatomy, and leads to tongue coating. The tongue coating is frequently found in older adults because of hyposalivation, immunity's hypoactivity, diminished motor function and compromised tongue's pressure with age. Anaerobe-driven volatile sulphur compounds in tongue coating are a major cause of intra-oral malodor. Dysbiosis of the tongue-coating microbiome rather than the amount of microorganisms is associated with a risk of aspiration pneumonia. Daily tongue cleaning with a brush or scraper is an easy way to control tongue coating deposits and quality. Using mouth wash or rinse-containing germicides is also a way to control the microbiota of tongue coating. The tongue function is closely related to swallowing. Tongue and suprahyoid muscles are linked with respiratory muscles through the endothoracic fascia. The mechanical stimulation during the cleaning of the tongue may stimulate the respiratory muscles. An intervention trial revealed that tongue cleaning by mucosal brush improves tongue pressure, swallowing and respiratory function in old residents of nursing homes, suggesting a rehabilitative effect of tongue cleaning on the swallowing and respiratory functions, preventing aspiration pneumonia. This narrative review assesses the tongue-cleaning benefits for respiratory and swallowing functions and the possibility of preventing aspiration pneumonia.

Characterization of oral bacteria in the tongue coating of patients with halitosis using 16S rRNA analysis.

There are many studies on the relationship between the tongue coating and halitosis, but few have evaluated the bacterial community present in the tongue coating. This study identified bacteria in the tongue coating in individuals with and without halitosis using 16S rRNA analysis. Forty subjects (mean age, 46.1 ± 15.8 years) who visited the halitosis clinic at the University Dental Hospital between 2016 and 2017 were divided into halitosis (n = 32) and non-halitosis (n = 8) groups according to results from an organoleptic test (OT). Additional measurements via gas chromatography (GC) and the Breathtron® instrument confirmed the groupings as the H2S, CH3SH, (CH3)2S, and total volatile sulphur compounds (VSC) levels were significantly higher in the halitosis group than in the non-halitosis group. Bacterial diversity was higher in the halitosis group; the median (quartile) values of the Shannon index were 4.46 (4.21, 4.67) in the halitosis group and 3.80 (3.45, 4.30) in the non-halitosis group. Additionally, the median (quartile) values of the Chao-1 index were 84.0 (77.2, 95.0) in the halitosis group and 71.3 (65.0, 81.5) in the non-halitosis group. These differences in bacterial composition and diversity may further the understanding of causes and treatments for halitosis.

Factors associated with the number of microorganisms on the tongue surface in patients following acute stroke.

BACKGROUND: Oral hygiene management of patients with acute stroke is important for preventing aspiration pneumonia and ensuring oral intake. The tongue coating score can be useful for evaluating the oral hygiene level since it reflects the microorganism number on the tongue surface in elderly patients. However, the relationship between the number of oral microorganisms and the tongue coating score in patients with acute stroke remains unclear. OBJECTIVES: We aimed to investigate the relationships between the microorganism number on the tongue surface and oral factors, including tongue coating score, tongue surface moisture level and tongue function. METHODS: This cross-sectional study enrolled 73 patients with acute stroke who were hospitalised at an acute care hospital and underwent dental intervention. Potential explanatory factors, including sex, age, Glasgow Coma Scale score, tongue coating score, tongue surface moisture level, nutrition intake method, number of functional teeth and tongue function, were evaluated. Logistic regression analysis determined their association with the microorganism number on the tongue surface. RESULTS: The tongue coating score (odds ratio: 1.31) and tongue surface moisture level (odds ratio: 1.10) were significantly associated with increased microorganism numbers on the tongue surface. CONCLUSION: The tongue coating score, which reflects the actual number of microorganisms on the tongue surface, could be an effective tool for evaluating oral hygiene level in patients with stroke. Moreover, reducing oral microorganisms in saliva through oral hygiene management, including removing the tongue coating, could contribute towards the prevention of aspiration pneumonia.

Existence of SARS-CoV-2 Entry Molecules in the Oral Cavity.

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) receptor, angiotensin-converting enzyme 2 (ACE2), transmembrane protease serine 2 (TMPRSS2), and furin, which promote entry of the virus into the host cell, have been identified as determinants of SARS-CoV-2 infection. Dorsal tongue and gingiva, saliva, and tongue coating samples were examined to determine the presence of these molecules in the oral cavity. Immunohistochemical analyses showed that ACE2 was expressed in the stratified squamous epithelium of the dorsal tongue and gingiva. TMPRSS2 was strongly expressed in stratified squamous epithelium in the keratinized surface layer and detected in the saliva and tongue coating samples via Western blot. Furin was localized mainly in the lower layer of stratified squamous epithelium and detected in the saliva but not tongue coating. ACE2, TMPRSS2, and furin mRNA expression was observed in taste bud-derived cultured cells, which was similar to the immunofluorescence observations. These data showed that essential molecules for SARS-CoV-2 infection were abundant in the oral cavity. However, the database analysis showed that saliva also contains many protease inhibitors. Therefore, although the oral cavity may be the entry route for SARS-CoV-2, other factors including protease inhibitors in the saliva that inhibit viral entry should be considered.

Tongue coating in relationship to gender, plaque, gingivitis and tongue cleaning behaviour in systemically healthy young adults.

OBJECTIVES: The purpose of this observational study was to investigate the relationship between tongue coating (thickness [Tc] and surface discoloration [Td]) and gender, plaque, gingivitis (bleeding on marginal probing [BOMP] and bleeding on pocket probing [BOPP]) and tongue cleaning behaviour. MATERIALS AND METHODS: A total of 336 participants were screened for this cross-sectional study, from which 268 (150 male, 118 female) were found to be eligible. Aspects of tongue coating were visually assessed. Additionally, BOMP, BOPP and the plaque index (PI) were scored. To ascertain the tongue cleaning behaviour, the Oral Hygiene Behavior questionnaire was used. RESULTS: Most tongue coating was found at the posterior sections of the tongue surface. A thin coating and white discoloration were most prevalent as highest score for both males (92.7%) and females (87.4%), as well as white discoloration for the whole group of participants (50.2%). A gender difference was observed for TC and Td (P < .001). Analysis did not reveal a relationship between Tc and PI and between Td and PI. Also, no relation was detected between tongue cleaning behaviour and Tc or Td. However, tongue cleaning was associated with lower BOMP and BOPP scores. CONCLUSION: BOMP, BOPP or PI score did not appear to be linked to Tc and Td. A significant gender difference was found for Tc and Td. Self-reported tongue cleaning behaviour was associated with slightly lower BOMP and BOPP scores.

Microbial biomarkers of common tongue coatings in patients with gastric cancer.

PURPOSE: The study aims to explore the characteristic microorganisms of the common tongue coatings in patients with gastric cancer (GC). METHODS: A total of 115 GC patients were assigned to four groups: White-thin coating (W-thin) group, White-thick coating (W-thick) group, Yellow-thin coating (Y-thin) group and Yellow-thick coating (Y-thick) group. Thirty-five healthy volunteers with White-thin coating were recruit as controls. High-throughput sequencing was used to describe the microbial community of the tongue coatings based on 16S rRNA and 18S rRNA genes. Multi-factors statistical analysis was carried out to present the microbial biomarkers of the tongue coating in GC patients. RESULTS: At bacterial phylum level, Saccharibacteria had higher relative abundance in W-thick group than W-thin group, Proteobacteria was more abundant in W-thin group than Y-thick group and less abundant in Y-thick group than Y-thin group. At fungal genus level, Guehomyces and Aspergillus presented to be significantly different among the common tongue coatings. Forteen significantly increased taxa were sorted out as the microbial biomarkers of common tongue coatings by LEfSe and ROC analysis. At species level, bacterial Capnocytophaga leadbetteri and fungal Ampelomyces_sp_IRAN_1 may be the potential biomarkers of W-thin coating, four bacterial species (Megasphaera micronuciformis, Selenomonas sputigena ATCC 35185, Acinetobacter ursingii, Prevotella maculosa) may be the potential biomarkers of W-thick coating. In general, the white coatings held more complex commensal relationship than the yellow coatings. CONCLUSION: The common tongue coating owned characteristic microorganisms and special commensal relationship in the GC patients.

Effects of oral prophylaxis including tongue cleaning on halitosis and gingival inflammation in gingivitis patients-a randomized controlled clinical trial.

OBJECTIVE: The objective of this study was to assess the effect of oral prophylaxis including tongue scraping on level of halitosis, clinical periodontal parameters and local cytokine response in gingivitis patients. MATERIALS AND METHODS: In this randomized controlled clinical trial, 36 gingivitis patients were randomly assigned into two subgroups after scaling and polishing. Group 1 received oral hygiene instructions including the use of tongue scraper; group 2 received oral hygiene instructions alone without tongue cleaning. Levels of volatile sulfur compounds (VSC), organoleptic and tongue coating scores, clinical periodontal parameters and gingival crevicular fluid (GCF) samples were collected at baseline and 7 days after oral prophylaxis. GCF samples were analyzed using multiplexing analysis for the simultaneous measurements of cytokines. The Chi-square, Mann-Whitney U, Wilcoxon, and Student's paired and unpaired t tests were used for statistical analysis. RESULTS: Statistically significant reductions were found in terms of clinical periodontal parameters in both groups. However, significant improvements in VSC levels, organoleptic and tongue coating scores were observed just in tongue scraping group. Moreover, the GCF levels of IL-1ß and IL-8 significantly decreased after the treatment in group 1 according to the baseline values. CONCLUSION: The present study indicated that oral prophylaxis including tongue scraping was effective in improving intra-oral halitosis and pro-inflammatory cytokine response in GCF in gingivitis patients. CLINICAL RELEVANCE: The results suggest that tongue scraping can be taken into consideration in order to manage gingival inflammation as well as VSC levels in gingivitis patients but further clinical studies are required to judge the clinical relevance.

Prevalence and relevant factors of halitosis in Chinese subjects: a clinical research.

BACKGROUND: The aim of this study was to investigate the prevalence of halitosis among Chinese subjects and to analyze the associated factors that influence halitosis. METHODS: This study included subjects complaining of halitosis who came to the clinic between 2014 and 2016. Questionnaires were used to obtain general information from patients. An organoleptic test was conducted, and volatile sulfur compounds measurement was obtained to assess halitosis. In conjunction with these tests, the oral health status of each patient was recorded. RESULTS: In total, there were 205 samples entered into data analysis, and the patients' age ranged from 18 to 71 years (mean ± SD: 32.44 ± 10.31). Of these patients, 65.9% had an organoleptic score ≥ 2, and 41% of patients had a volatile sulfur compound level ≥ 110 ppb. The findings indicated that the prevalence of halitosis was higher in males than in females (55.6% vs. 44.4%, respectively, P = 0.018). Several factors including the duration of bad breath, rhinitis, tongue coating and periodontal conditions were found to be associated with the organoleptic score. Tongue coating was also associated with the volatile sulfur compound level. CONCLUSIONS: Among these subjects, 65.9% had halitosis. Oral health status was strongly associated with halitosis, and tongue coating was the most important factor.

Influence of tongue brushing and scraping on the oral microflora of periodontitis patients.

OBJECTIVE: To examine the effect of tongue cleaning with a tongue scraper (TS) or toothbrush (TB) in patients with periodontitis. BACKGROUND: The tongue is a possible reservoir for bacterial (re)colonization of the periodontal tissues in patients with periodontitis. To date, it is not known what the influence of tongue cleaning is on the tongue coating of patients with periodontitis. MATERIAL AND METHODS: Eighteen systemically healthy, untreated moderate to severe adult patients with periodontitis with some degree of tongue coating were randomly assigned to the use of a TS or TB for cleaning the tongue. Microbial load of the saliva and tongue dorsum, amount of tongue coating and patient perception about tongue cleaning were studied at baseline and 2 weeks later. RESULTS: Two weeks of tongue cleaning with either a TB or a TS, did not influence the microbiological counts, neither in the saliva, nor in the tongue coating, even though tongue coating was significantly less. The patients themselves experienced no differences in breath odour or taste sensation after 2 weeks of tongue cleaning; however, they felt that their tongue was cleaner at the end of the study compared to baseline. No differences could be detected between the uses of a TS vs a TB. CONCLUSION: In patients with periodontitis, tongue cleaning does not influence the bacterial load in the saliva or on the tongue dorsum.