Severe Early Childhood Caries microbiome
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA454811 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR7647540_1.fastq.gz | Fastqsanger.gz | |||
| SRR7647540_2.fastq.gz | Fastqsanger.gz | |||
| SRR7647550_1.fastq.gz | Fastqsanger.gz | |||
| SRR7647550_2.fastq.gz | Fastqsanger.gz | |||
| SRR7647560_1.fastq.gz | Fastqsanger.gz |
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Similar Datasets
Project description:<p><strong>Purpose:</strong> Dental caries is characterized by a dysbiotic shift at the biofilm-tooth surface interface, yet comprehensive biochemical characterizations of the biofilm are scant. We used metabolomics to identify biochemical features of the supragingival biofilm associated with early childhood caries (ECC) prevalence and severity. </p><p><strong>Methods:</strong> The study’s analytical sample comprised 289 children ages 3-5 (51% with ECC) who attended public preschools in North Carolina and were enrolled in a community-based cross-sectional study of early childhood oral health. Clinical examinations were conducted by calibrated examiners in community locations using ICDAS criteria. Supragingival plaque collected from the facial/buccal surfaces of all primary teeth in the upper-left quadrant were analyzed using Ultra Performance Liquid Chromatography-tandem Mass Spectrometry. Associations between individual metabolites and 18 clinical traits (based on different ECC definitions and sets of tooth surfaces) were quantified using Brownian distance correlations (dCor) and linear regression modeling of log2-transformed values, applying a False Discovery Rate multiple testing correction. A tree-based pipeline optimization tool (TPOT)-machine learning process was used to identify the best-fitting ECC classification metabolite model. </p><p><strong>Results:</strong> There were 503 named metabolites identified, including microbial, host and exogenous biochemicals. Most significant ECC-metabolite associations were positive (i.e., upregulations/enrichments). The localized ECC case definition (ICDAS≥1 caries experience within the surfaces from which plaque was collected) had the strongest correlation with the metabolome (dCor p=8x10-3). Sixteen metabolites were significantly associated with ECC after multiple testing correction, including: fucose (p=3.0x10-6) and N-acetylneuraminate (p=6.8x10-6) with higher ECC prevalence; catechin (p=4.7x10-6) and epicatechin (p=2.9x10-6) with lower. Catechin, epicatechin, imidazole propionate, fucose, 9,10-DiHOME, and N-acetylneuraminate were among the top 15 metabolites in terms of ECC classification importance in the automated TPOT model. </p><p><strong>Conclusion:</strong> These supragingival biofilm metabolite findings provide novel insights in ECC biology and can serve as the basis for the development of measures of disease activity or risk assessment.</p>
2021-01-29 | MTBLS2215 | MetaboLights
Project description:Genome-Wide Association Study of Early Childhood Caries: CIDR
| PRJNA671298 | ENA
Project description:Genome-Wide Association Study of Early Childhood Caries: CIDR
| PRJNA671299 | ENA
Project description:Oral microbiome and HIV in early childhood caries
| PRJEB52879 | ENA
Project description:The development of early childhood caries (ECC) is closely related to the salivary microenvironment, but the role of host factors in the pathogenesis of ECC has not been fully characterized. The aim of this study was to investigate the mechanism of ECC development and to search for salivary protein biomarkers that can predict ECC development by quantitative proteomic analysis of saliva host-derived proteins.
2024-01-17 | PXD048619 |
Project description:The study aims to assess gene expression in plaque samples collected from twin pairs that are both concordant and discordant with respect to dental Caries diagnosis. File Naming Conventions are as follows: Patient ID : 4 digit identifier Diagnosis : Caries Negative(CN) or Caries Positive(CP) Type of Twin: Monozygotic(MZ)or Dizygotic(DZ) Pair to xxxx: 4 digit twin identifier maps to the Patient ID E.g: 2126_CP_MZ_PairTo_2125_fastqc - 2126 is a caries positive patient and pairs to monozygotic twin pair 2125. Plaque samples from twin pairs that are both concordant and discordant with respect to dental Caries diagnosis are enriched for bacterial messenger RNA to study the gene expression differences in the samples.
2011-09-26 | GSE31439 | GEO
Project description:The study aims to assess gene expression in plaque samples collected from twin pairs that are both concordant and discordant with respect to dental Caries diagnosis. File Naming Conventions are as follows: Patient ID : 4 digit identifier Diagnosis : Caries Negative(CN) or Caries Positive(CP) Type of Twin: Monozygotic(MZ)or Dizygotic(DZ) Pair to xxxx: 4 digit twin identifier maps to the Patient ID E.g: 2126_CP_MZ_PairTo_2125_fastqc - 2126 is a caries positive patient and pairs to monozygotic twin pair 2125. Plaque samples from twin pairs that are both concordant and discordant with respect to dental Caries diagnosis are enriched for bacterial messenger RNA to study the gene expression differences in the samples. RNA was extracted from RNAprotect (Qiagen, In c.) treated dental plaque scrapings from 38 patients. Amplified cDNA was created and rRNA sequence was removed by subtractive hybridization. Individual patient samples were run on a single lane of an Illumina Genome Analyzer.
2011-09-26 | E-GEOD-31439 | biostudies-arrayexpress
Project description:Polymorphisms in taste receptor genes have been shown to play a role in early childhood caries (ECC), a multifactorial, biofilm-mediated disease. This study aimed to evaluate associations between severe-ECC (S-ECC), the oral microbiome, and variants in genes that encode components of the G protein-coupled receptor (GPCR) signaling cascade involved in taste sensation. A total of 176 children (88 caries-free; 88 with S-ECC) were recruited. Analyses of 16S and ITS1 rRNA microbial genes and seven (GNAQ, GNAS, GNAT3, GNAI2, RAC1, RALB, and PLCB2) human genes were pursued using next-generation sequencing. Regression analyses were performed to evaluate associations between genetic variants, S-ECC, and the supragingival plaque microbiome. Results suggest that PLCB2 rs2305645 (T), rs1869901 (G), and rs2305649 (G) alleles had a protective effect on S-ECC (rs2305645, odds ratio (OR) = 0.27 (95% confidence interval (CI): 0.14-0.51); rs1869901, OR = 0.34 (95% CI: 0.20-0.58); and rs2305649, OR = 0.43 (95% CI: 0.26-0.71)). Variants in GNAQ, GNAS, GNAT3, PLCB2, RALB, and RAC1 were associated with oral fungal and bacterial community composition. This study revealed that three loci at PLCB2 are significantly associated with S-ECC. Variants in multiple genes were associated with the composition of dental biofilm. These findings contribute to the current knowledge about the role of genetics in S-ECC.
| S-EPMC9820665 | biostudies-literature
Project description:Childhood caries is an extremely common childhood chronic disease, affecting 60–90% of children in industrialized countries. It results in lesions in both the primary and permanent dentitions, hospitalizations and emergency room visits, high treatment costs, loss of school days, diminished ability to learn increases the risk of caries in adulthood. Streptococcus mutans is a key bacteria in caries development. While multiple caries risk factors have been identified, significant interpersonal variability not explained by known risk factors still exists. The immune system generates a personal antibody repertoire that helps maintain a balanced and healthy oral microbiome. Using mass-spectrometry, we probed in an hypothesis-free manner which S. mutans proteins are identified by antibodies of children with low and high DMFT (decayed, missing, filled teeth) scores. We identified a core set of proteins, recognized by the immune system of most individuals. This set was enriched with proteins enabling bacterial adhesion, and included glucosyltransferases and glucan-binding proteins known to be important for S. mutans cariogenicity. To explore the physiological relevance of these findings, we tested the ability of saliva from caries free individuals in preventing S. mutans from binding to the tooth surface. Indeed, saliva from individuals with caries free prevented S. mutans binding to teeth. These findings map the S. mutans proteome targeted by the immune system and suggest that inhibiting tooth attachment is a primary mechanism used by the immune system to maintain oral balance and prevent caries. These findings provide new insights into the role of the immune system in maintaining oral health and preventing caries development.
2023-06-26 | PXD043103 | Pride