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Journal of Dental Research Jul 2023Dental caries lesions are a clinical manifestation of disease, preceded by microbial dysbiosis, which is poorly characterized and thought to be associated with...
Dental caries lesions are a clinical manifestation of disease, preceded by microbial dysbiosis, which is poorly characterized and thought to be associated with saccharolytic taxa. Here, we assessed the associations between the oral microbiome of children and various caries risk factors such as demographics and behavioral and clinical data across early childhood and characterized over time the salivary and dental plaque microbiome of children before clinical diagnosis of caries lesions. Children ( = 266) were examined clinically at ~1, 2.5, 4, and 6.5 y of age. The microbiome samples were collected at 1, 2.5, and 4 y. Caries groups consisted of children who remained caries free (International Caries Detection and Assessment System [ICDAS] = 0) at all time points (CFAT) ( = 50); children diagnosed with caries (ICDAS ≥ 1) at 6.5 y (C6.5), 4 y (C4), or 2.5 y of age (C2.5); and children with early caries or advanced caries lesions at specific time points. Microbial community analyses were performed on zero-radius operational taxonomic units (zOTUs) obtained from V4 of 16S ribosomal RNA gene amplicon sequences. The oral microbiome of the children was affected by various factors, including antibiotic use, demographics, and dietary habits of the children and their caregivers. At all time points, various risk factors explained more of the variation in the dental plaque microbiome than in saliva. At 1 y, composition of saliva of the C4 group differed from that of the CFAT group, while at 2.5 y, this difference was observed only in plaque. At 4 y, multiple salivary and plaque zOTUs of genera and were significantly higher in samples of the C6.5 group than those of the CFAT group. In conclusion, up to 3 y prior to clinical caries detection, the oral microbial communities were already in a state of dysbiosis that was dominated by proteolytic taxa. Plaque discriminated dysbiotic oral ecosystems from healthy ones better than saliva.
Topics: Child; Humans; Child, Preschool; Dental Caries; Dental Plaque; Dysbiosis; Saliva; Microbiota; RNA, Ribosomal, 16S
PubMed: 37042041
DOI: 10.1177/00220345231160756 -
World Journal of Oncology Jun 2023Reports have shown increased positive correlations with the salivary microbiota and pancreatic carcinogenesis. A European study showed that high levels of were... (Review)
Review
Reports have shown increased positive correlations with the salivary microbiota and pancreatic carcinogenesis. A European study showed that high levels of were correlated with periodontium damage and were associated with a risk of pancreatic cancer (two-fold). A recent study, using oral mouthwash samples (n = 361 with pancreatic adenocarcinoma), determined that the presence of and along with and were a risk factor for pancreatic cancer. The link between pancreatic cancer and periodontitis has been documented. Interestingly, periodontitis presents with inflammation and microbial dysbiosis, both of which have been characterized in pancreatic cancer. This review highlights multiple roles in which oral anaerobic bacteria can spread to the pancreas and contribute to pancreatic cancer.
PubMed: 37350809
DOI: 10.14740/wjon1596 -
JDR Clinical and Translational Research Oct 2023Common oral diseases are known to be associated with dysbiotic shifts in the supragingival microbiome, yet most oral microbiome associations with clinical end points...
INTRODUCTION
Common oral diseases are known to be associated with dysbiotic shifts in the supragingival microbiome, yet most oral microbiome associations with clinical end points emanate from cross-sectional studies. Orthodontic treatment is an elective procedure that can be exploited to prospectively examine clinically relevant longitudinal changes in the composition and function of the supragingival microbiome.
METHODS
A longitudinal cohort study was conducted among 24 adolescent orthodontic patients who underwent saliva and plaque sampling and clinical examinations at time points: before fixed appliance bonding and at 1, 6, and 12 wk thereafter. Clinical indices included bleeding on probing (BOP), mean gingival index (GI), probing depths (PDs), and plaque index (PI). To study the biologically (i.e., transcriptionally) active microbial communities, RNA was extracted from plaque and saliva for RNA sequencing and microbiome bioinformatics analysis. Longitudinal changes in microbiome beta diversity were examined using PERMANOVA tests, and the relative abundance of microbial taxa was measured using Kruskal-Wallis tests, Wilcoxon rank-sum tests, and negative binomial and zero-inflated mixed models.
RESULTS
Clinical measures of oral health deteriorated over time-the proportion of sites with GI and PI ≥1 increased by over 70% between prebonding and 12 wk postbonding while the proportion of sites with PD ≥4 mm increased 2.5-fold. , a health-associated species that antagonizes cariogenic pathogens, showed a lasting decrease in relative abundance during orthodontic treatment. Contrarily, caries- and periodontal disease-associated taxa, including , , and , increased in abundance after bonding. Relative abundances of and in prebonding saliva predicted elevated BOP 12 wk postbonding, whereas was associated with lower BOP.
CONCLUSIONS
This study offers insights into longitudinal community and species-specific changes in the supragingival microbiome transcriptome during fixed orthodontic treatment, advancing our understanding of microbial dysbioses and identifying targets of future health-promoting clinical investigations.
KNOWLEDGE TRANSFER STATEMENT
Bonding braces was associated with subsequent changes in the oral microbiome characterized by increases in disease-associated species, decreases in health-associated species, and worsened clinical measures of oral health.
PubMed: 37876206
DOI: 10.1177/23800844231199393 -
Frontiers in Microbiology 2023Gut microbiota plays an important role in colorectal cancer (CRC) pathogenesis through microbes and their metabolites, while oral pathogens are the major components of...
OBJECTIVE
Gut microbiota plays an important role in colorectal cancer (CRC) pathogenesis through microbes and their metabolites, while oral pathogens are the major components of CRC-associated microbes. Multiple studies have identified gut and fecal microbiome-derived biomarkers for precursors lesions of CRC detection. However, few studies have used salivary samples to predict colorectal polyps. Therefore, in order to find new noninvasive colorectal polyp biomarkers, we searched into the differences in fecal and salivary microbiota between patients with colorectal polyps and healthy controls.
METHODS
In this case-control study, we collected salivary and fecal samples from 33 patients with colorectal polyps (CP) and 22 healthy controls (HC) between May 2021 and November 2022. All samples were sequenced using full-length 16S rRNA sequencing and compared with the Nucleotide Sequence Database. The salivary and fecal microbiota signature of colorectal polyps was established by alpha and beta diversity, Linear discriminant analysis Effect Size (LEfSe) and random forest model analysis. In addition, the possibility of microbiota in identifying colorectal polyps was assessed by Receiver Operating Characteristic Curve (ROC).
RESULTS
In comparison to the HC group, the CP group's microbial diversity increased in saliva and decreased in feces ( < 0.05), but there was no significantly difference in microbiota richness ( > 0.05). The principal coordinate analysis revealed significant differences in β-diversity of salivary and fecal microbiota between the CP and HC groups. Moreover, LEfSe analysis at the species level identified and as the major contributors to the salivary microbiota, and and to the fecal microbiota of patients with polyps. Salivary and fecal bacterial biomarkers showed Area Under ROC Curve of 0.8167 and 0.8051, respectively, which determined the potential of diagnostic markers in distinguishing patients with colorectal polyps from controls, and it increased to 0.8217 when salivary and fecal biomarkers were combined.
CONCLUSION
The composition and diversity of the salivary and fecal microbiota were significantly different in colorectal polyp patients compared to healthy controls, with an increased abundance of harmful bacteria and a decreased abundance of beneficial bacteria. A promising non-invasive tool for the detection of colorectal polyps can be provided by potential biomarkers based on the microbiota of the saliva and feces.
PubMed: 37655344
DOI: 10.3389/fmicb.2023.1182346 -
International Journal of Molecular... Oct 2023The tumor microbiome, a relatively new research field, affects tumor progression through several mechanisms. The Cancer Microbiome Atlas (TCMA) database was recently...
The tumor microbiome, a relatively new research field, affects tumor progression through several mechanisms. The Cancer Microbiome Atlas (TCMA) database was recently published. In the present study, we used TCMA and The Cancer Genome Atlas and examined microbiome profiling in head and neck squamous cell carcinoma (HNSCC), the role of the intratumoral microbiota in the prognosis of HNSCC patients, and differentially expressed genes in tumor cells in relation to specific bacterial infections. We investigated 18 microbes at the genus level that differed between solid normal tissue ( = 22) and primary tumors ( = 154). The tissue microbiome profiles of , , and at the genus level differed between the solid normal tissue and primary tumors of HNSCC patients. When the prognosis of groups with rates over and under the median for each microbe at the genus level was examined, rates for which were over the median correlated with significantly higher overall survival rates. We then extracted 35 differentially expressed genes between the over- and under-the-median-for groups based on the criteria of >1.5 fold and < 0.05 in the Mann-Whitney U-test. A pathway analysis showed that these -related genes were associated with the pathways of Alzheimer disease, neurodegeneration-multiple diseases, prion disease, MAPK signaling, and PI3K-Akt signaling, while protein-protein interaction analysis revealed that these genes formed a dense network. In conclusion, probiotics and specific antimicrobial therapy targeting may have an impact on the prognosis of HNSCC.
Topics: Humans; Squamous Cell Carcinoma of Head and Neck; Phosphatidylinositol 3-Kinases; Head and Neck Neoplasms; Signal Transduction; Microbiota; Biomarkers, Tumor; Gene Expression Regulation, Neoplastic
PubMed: 37895136
DOI: 10.3390/ijms242015456 -
Microbiome Nov 2023Oral squamous cell carcinoma (SCC) is associated with oral microbial dysbiosis. In this unique study, we compared pre- to post-treatment salivary microbiome in patients...
BACKGROUND
Oral squamous cell carcinoma (SCC) is associated with oral microbial dysbiosis. In this unique study, we compared pre- to post-treatment salivary microbiome in patients with SCC by 16S rRNA gene sequencing and examined how microbiome changes correlated with the expression of an anti-microbial protein.
RESULTS
Treatment of SCC was associated with a reduction in overall bacterial richness and diversity. There were significant changes in the microbial community structure, including a decrease in the abundance of Porphyromonaceae and Prevotellaceae and an increase in Lactobacillaceae. There were also significant changes in the microbial community structure before and after treatment with chemoradiotherapy, but not with surgery alone. In patients treated with chemoradiotherapy alone, several bacterial populations were differentially abundant between responders and non-responders before and after therapy. Microbiome changes were associated with a change in the expression of DMBT1, an anti-microbial protein in human saliva. Additionally, we found that salivary DMBT1, which increases after treatment, could serve as a post-treatment salivary biomarker that links to microbial changes. Specifically, post-treatment increases in human salivary DMBT1 correlated with increased abundance of Gemella spp., Pasteurellaceae spp., Lactobacillus spp., and Oribacterium spp. This is the first longitudinal study to investigate treatment-associated changes (chemoradiotherapy and surgery) in the oral microbiome in patients with SCC along with changes in expression of an anti-microbial protein in saliva.
CONCLUSIONS
The composition of the oral microbiota may predict treatment responses; salivary DMBT1 may have a role in modulating the oral microbiome in patients with SCC. After completion of treatment, 6 months after diagnosis, patients had a less diverse and less rich oral microbiome. Leptotrichia was a highly prevalent bacteria genus associated with disease. Expression of DMBT1 was higher after treatment and associated with microbiome changes, the most prominent genus being Gemella Video Abstract.
Topics: Humans; Mouth Neoplasms; Longitudinal Studies; Carcinoma, Squamous Cell; RNA, Ribosomal, 16S; Microbiota; Saliva; Bacteria; Calcium-Binding Proteins; DNA-Binding Proteins; Tumor Suppressor Proteins
PubMed: 38037123
DOI: 10.1186/s40168-023-01677-w -
Frontiers in Oncology 2023Head and neck cancer (HNC) is the sixth most common type of cancer, with more than half a million new cases annually. This review focuses on the role of oral dysbiosis... (Review)
Review
Head and neck cancer (HNC) is the sixth most common type of cancer, with more than half a million new cases annually. This review focuses on the role of oral dysbiosis and HPV infection in HNCs, presenting the involved taxons, molecular effectors and pathways, as well as the HPV-associated particularities of genetic and epigenetic changes and of the tumor microenvironment occurred in different stages of tumor development. Oral dysbiosis is associated with the evolution of HNCs, through multiple mechanisms such as inflammation, genotoxins release, modulation of the innate and acquired immune response, carcinogens and anticarcinogens production, generation of oxidative stress, induction of mutations. Thus, novel microbiome-derived biomarkers and interventions could significantly contribute to achieving the desideratum of personalized management of oncologic patients, regarding both early diagnosis and treatment. The results reported by different studies are not always congruent regarding the variations in the abundance of different taxons in HNCs. However, there is a consistent reporting of a higher abundance of Gram-negative species such as , which are probably responsible of chronic inflammation and modulation of tumor microenvironment. is the dominant fungi found in oral carcinoma being also associated with shorter survival rate. Specific microbial signatures (e.g., and ) have been associated with later stages and larger tumor, suggesting their potential to be used as biomarkers for tumor stratification and prognosis. On the other hand, increased abundance of is associated with a reduced risk of HNC. Microbiome could also provide biomarkers for differentiating between oropharyngeal and hypopharyngeal cancers as well as between HPV-positive and HPV-negative tumors. Ongoing clinical trials aim to validate non-invasive tests for microbiome-derived biomarkers detection in oral and throat cancers, especially within high-risk populations. Oro-pharyngeal dysbiosis could also impact the HNCs therapy and associated side-effects of radiotherapy, chemotherapy, and immunotherapy. HPV-positive tumors harbor fewer mutations, as well as different DNA methylation pattern and tumor microenvironment. Therefore, elucidation of the molecular mechanisms by which oral microbiota and HPV infection influence the HNC initiation and progression, screening for HPV infection and vaccination against HPV, adopting a good oral hygiene, and preventing oral dysbiosis are important tools for advancing in the battle with this public health global challenge.
PubMed: 38179168
DOI: 10.3389/fonc.2023.1273516 -
Nature Communications May 2023Streptococcus mutans has been implicated as the primary pathogen in childhood caries (tooth decay). While the role of polymicrobial communities is appreciated, it...
Streptococcus mutans has been implicated as the primary pathogen in childhood caries (tooth decay). While the role of polymicrobial communities is appreciated, it remains unclear whether other microorganisms are active contributors or interact with pathogens. Here, we integrate multi-omics of supragingival biofilm (dental plaque) from 416 preschool-age children (208 males and 208 females) in a discovery-validation pipeline to identify disease-relevant inter-species interactions. Sixteen taxa associate with childhood caries in metagenomics-metatranscriptomics analyses. Using multiscale/computational imaging and virulence assays, we examine biofilm formation dynamics, spatial arrangement, and metabolic activity of Selenomonas sputigena, Prevotella salivae and Leptotrichia wadei, either individually or with S. mutans. We show that S. sputigena, a flagellated anaerobe with previously unknown role in supragingival biofilm, becomes trapped in streptococcal exoglucans, loses motility but actively proliferates to build a honeycomb-like multicellular-superstructure encapsulating S. mutans, enhancing acidogenesis. Rodent model experiments reveal an unrecognized ability of S. sputigena to colonize supragingival tooth surfaces. While incapable of causing caries on its own, when co-infected with S. mutans, S. sputigena causes extensive tooth enamel lesions and exacerbates disease severity in vivo. In summary, we discover a pathobiont cooperating with a known pathogen to build a unique spatial structure and heighten biofilm virulence in a prevalent human disease.
Topics: Male; Child; Female; Humans; Child, Preschool; Virulence; Dental Caries Susceptibility; Streptococcus mutans; Biofilms
PubMed: 37217495
DOI: 10.1038/s41467-023-38346-3 -
Science Advances Apr 2024Type VI CRISPR-Cas systems are among the few CRISPR varieties that target exclusively RNA. The CRISPR RNA-guided, sequence-specific binding of target RNAs, such as phage...
Type VI CRISPR-Cas systems are among the few CRISPR varieties that target exclusively RNA. The CRISPR RNA-guided, sequence-specific binding of target RNAs, such as phage transcripts, activates the type VI effector, Cas13. Once activated, Cas13 causes collateral RNA cleavage, which induces bacterial cell dormancy, thus protecting the host population from the phage spread. We show here that the principal form of collateral RNA degradation elicited by Cas13a expressed in cells is the cleavage of anticodons in a subset of transfer RNAs (tRNAs) with uridine-rich anticodons. This tRNA cleavage is accompanied by inhibition of protein synthesis, thus providing defense from the phages. In addition, Cas13a-mediated tRNA cleavage indirectly activates the RNases of bacterial toxin-antitoxin modules cleaving messenger RNA, which could provide a backup defense. The mechanism of Cas13a-induced antiphage defense resembles that of bacterial anticodon nucleases, which is compatible with the hypothesis that type VI effectors evolved from an abortive infection module encompassing an anticodon nuclease.
Topics: RNA, Transfer; CRISPR-Cas Systems; Anticodon; Escherichia coli; Leptotrichia; CRISPR-Associated Proteins; Bacteriophages; RNA Cleavage
PubMed: 38657076
DOI: 10.1126/sciadv.adl0164 -
Clinical and Experimental Rheumatology Dec 2023To describe the taxonomy of the microbiota in crevicular fluid of primary Sjögren's syndrome (pSS) patients, and evaluate its association with clinical/serological... (Observational Study)
Observational Study
OBJECTIVES
To describe the taxonomy of the microbiota in crevicular fluid of primary Sjögren's syndrome (pSS) patients, and evaluate its association with clinical/serological variables, and oral quality of life.
METHODS
Observational study that included 48 pSS without diabetes mellitus, no active neoplasia, no antibiotic use in the previous two weeks, and no current active infection. We registered demographics, oral/ocular sicca symptoms, parotid enlargement and anti-Ro/La serology. We assessed the non-stimulated whole salivary flow (NSWSF), the EULAR Sjögren's Syndrome Patient Reported Index (ESSPRI), and the Xerostomia-related Quality of Life Scale (XeQoLS). Two periodontists determined the presence of periodontal disease and collected crevicular fluid from 6 teeth using filter paper. Samples were frozen at -86°C until processing. We included 17 sex- and age-matched control subjects. Bacterial DNA was extracted from the crevicular fluid sample using a commercial kit. 16SrRNA V3-V4 region was sequenced using reversible adaptor technology. Sequences were pre-processed and analysed using QIIME2 and phyloseq software programs. Functionality profiles were predicted using the Tax4Fun2 package.
RESULTS
PSS patients had more bacteria of the genera Prevotella, Streptococcus, Veillonella, Fusobacterium, and Leptotrichia and fewer bacteria of the genus Selenomonas than controls. The pSS microbiota contained more genes encoding accessory secretory proteins. Microbiota also differed between patients with anti-Ro/La status, parotid gland enlargement, and periodontal disease severity, but did not correlate with NSWSF and XeQoLS.
CONCLUSIONS
The crevicular fluid microbiota of pSS patients and controls differed significantly, even in SSP patients depending on their serology, parotid gland enlargement, and periodontal disease status.
Topics: Humans; Sjogren's Syndrome; Quality of Life; Xerostomia; Microbiota; Periodontal Diseases
PubMed: 38079342
DOI: 10.55563/clinexprheumatol/k3vx8u