Summary of Study ST002265

This data is available at the NIH Common Fund's National Metabolomics Data Repository (NMDR) website, the Metabolomics Workbench, https://www.metabolomicsworkbench.org, where it has been assigned Project ID PR001447. The data can be accessed directly via it's Project DOI: 10.21228/M8PH7X This work is supported by NIH grant, U2C- DK119886.

See: https://www.metabolomicsworkbench.org/about/howtocite.php

This study contains a large results data set and is not available in the mwTab file. It is only available for download via FTP as data file(s) here.

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Study IDST002265
Study TitleMulti-omic analysis reveals bacteria may have a role in dental erosion
Study TypeResearch Study
Study SummaryNMR was performed on 11 saliva samples; 5 from participants classified as having dental erosion and 6 from healthy control participants with no dental erosion to assess the differences in metabolome between the two groups. NMR analysis alone revealed no significant differences between the dental erosion and healthy controls. However, bacterial mRNA sequencing of the oral microbiome from the same saliva samples was performed and the bacterial gene expression profiles was correlated to metabolite concentrations in the groups. The dental erosion group had strong correlations between metabolites associated with protein degradation and amino acid fermentation (formate, butyrate, propionate, 5-aminopentanoate, acetate, glycine, phenylalanine, dimethyl sulfone) and increased activity of species including 4 Prevotella species, Actinomyces graevenitzii, Tannerella species, and 2 Selenomas species, to name a few. Whereas in the healthy control group, the only positive correlations between metabolite concentrations and bacterial activity was for urea and 5-aminopentanoate; urea was positively correlated with Aggregatibacter actinomycetecomytans, Lysinibacillus fusiformis, and Veillonella tobetsuensis, and 5-aminopentanoate was positively correlated with 3 different Leptotrichia species, Streptococcus parasanguinis, and 2 Prevotella species.
Institute
King's College London
Last NameCleaver
First NameLeanne
AddressFloor 17, Tower Wing, Guy's Hospital, King's College London, Great Maze Pond
Emailleanne.cleaver@kcl.ac.uk
Phone07464626438
Submit Date2022-08-02
Num Groups2
Total Subjects11
Raw Data AvailableYes
Raw Data File Type(s)fid
Analysis Type DetailNMR
Release Date2022-09-05
Release Version1
Leanne Cleaver Leanne Cleaver
https://dx.doi.org/10.21228/M8PH7X
ftp://www.metabolomicsworkbench.org/Studies/ application/zip

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Subject:

Subject ID:SU002351
Subject Type:Human
Subject Species:Homo sapiens
Taxonomy ID:9606
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