Project description:Human saliva microbiota is phylogenetically divergent among host individuals yet their roles in health and disease are poorly appreciated. We employed a microbial functional gene microarray, HuMiChip 1.0, to reconstruct the global functional profiles of human saliva microbiota from ten healthy and ten caries-active adults. Saliva microbiota in the pilot population featured a vast diversity of functional genes. No significant distinction in gene number or diversity indices was observed between healthy and caries-active microbiota. However, co-presence network analysis of functional genes revealed that caries-active microbiota was more divergent in non-core genes than healthy microbiota, despite both groups exhibited a similar degree of conservation at their respective core genes. Furthermore, functional gene structure of saliva microbiota could potentially distinguish caries-active patients from healthy hosts. Microbial functions such as Diaminopimelate epimerase, Prephenate dehydrogenase, Pyruvate-formate lyase and N-acetylmuramoyl-L-alanine amidase were significantly linked to caries. Therefore, saliva microbiota carried disease-associated functional signatures, which could be potentially exploited for caries diagnosis. The DMFT INDEX (Decayed, Missing, Filled [DMF] teeth index used in dental epidemiology) values are provided for each sample We employed a microbial functional gene microarray, HuMiChip 1.0, to reconstruct the global functional profiles of human saliva microbiota from ten healthy and ten caries-active adults.
Project description:The study aims to use global metabolomics to investigate: (1) the metabolic profile of supragingival dental plaque from adults with different caries-status and from specific healthy and carious tooth-sites; and (2) the metabolic changes occurring in response to the use of the arginine or fluoride toothpastes for 12 weeks.
Project description:Human saliva microbiota is phylogenetically divergent among host individuals yet their roles in health and disease are poorly appreciated. We employed a microbial functional gene microarray, HuMiChip 1.0, to reconstruct the global functional profiles of human saliva microbiota from ten healthy and ten caries-active adults. Saliva microbiota in the pilot population featured a vast diversity of functional genes. No significant distinction in gene number or diversity indices was observed between healthy and caries-active microbiota. However, co-presence network analysis of functional genes revealed that caries-active microbiota was more divergent in non-core genes than healthy microbiota, despite both groups exhibited a similar degree of conservation at their respective core genes. Furthermore, functional gene structure of saliva microbiota could potentially distinguish caries-active patients from healthy hosts. Microbial functions such as Diaminopimelate epimerase, Prephenate dehydrogenase, Pyruvate-formate lyase and N-acetylmuramoyl-L-alanine amidase were significantly linked to caries. Therefore, saliva microbiota carried disease-associated functional signatures, which could be potentially exploited for caries diagnosis. The DMFT INDEX (Decayed, Missing, Filled [DMF] teeth index used in dental epidemiology) values are provided for each sample
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.