Summary of Study ST001905
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 PR001200. The data can be accessed directly via it's Project DOI: 10.21228/M8KX3M This work is supported by NIH grant, U2C- DK119886.
See: https://www.metabolomicsworkbench.org/about/howtocite.php
Study ID | ST001905 |
Study Title | Metabolomic profiling of saliva in diabetes patients |
Study Summary | We performed comprehensive profiling of plasma and salivary metabolomes, and investigated multivariate covariations with clinical markers of oral and cardiometabolic health in healthy subjects and type 2 diabetes patients. The key findings highlight the potential utility of salivary metabolites for reflecting cardiometabolic changes, including hyperglycemia and dyslipidemia. Our study shows that analysis of panels of salivary metabolites may become an attractive alternative to blood testing for screening of metabolic disorders. |
Institute | Osaka University |
Last Name | Sakanaka |
First Name | Akito |
Address | 1-8 Yamadaoka, Suita, Osaka 565-0871, Japan |
sakanaka@dent.osaka-u.ac.jp | |
Phone | +81668792922 |
Submit Date | 2021-08-15 |
Analysis Type Detail | GC-MS |
Release Date | 2022-12-09 |
Release Version | 1 |
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Combined analysis:
Analysis ID | AN003102 |
---|---|
Analysis type | MS |
Chromatography type | GC |
Chromatography system | GC-MS/MS-TQ8040 |
Column | InertCap 5MS/NP capillary |
MS Type | EI |
MS instrument type | Triple quadrupole |
MS instrument name | Shimazu TQ8040 |
Ion Mode | POSITIVE |
Units | Intensity |
MS:
MS ID: | MS002884 |
Analysis ID: | AN003102 |
Instrument Name: | Shimazu TQ8040 |
Instrument Type: | Triple quadrupole |
MS Type: | EI |
MS Comments: | GC-MS data were converted into ABF format using an ABF converter, then processed using MS-DIAL (version 3.90) to perform feature detection, spectra deconvolution, metabolite identification, and peak alignment (Tsugawa et al. 2015). Normalization was then performed based on the internal standard (ribitol) as well as the LOWESS algorithm, whereby metabolic feature signal drift with time was independently corrected by fitting a LOWESS curve to the MS signal measured in QCs. |
Ion Mode: | POSITIVE |