Summary of Study ST001906
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 | ST001906 |
Study Title | Metabolomic profiling of plasma 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 |
Select appropriate tab below to view additional metadata details:
Project:
Project ID: | PR001200 |
Project DOI: | doi: 10.21228/M8KX3M |
Project Title: | Study on the correlation between saliva and plasma in glucose intolerance |
Project Summary: | Metabolomic profiling of plasma and saliva in type 2 diabetes patients was performed. |
Institute: | Osaka University |
Last Name: | Sakanaka |
First Name: | Akito |
Address: | Yamadaoka 1-8, Suita, Osaka, 565-0871, Japan |
Email: | sakanaka@dent.osaka-u.ac.jp |
Phone: | +81668792922 |
Subject:
Subject ID: | SU001984 |
Subject Type: | Human |
Subject Species: | Homo sapiens |
Taxonomy ID: | 9606 |
Factors:
Subject type: Human; Subject species: Homo sapiens (Factor headings shown in green)
mb_sample_id | local_sample_id | Diagnosis |
---|---|---|
SA176673 | C09 | Control |
SA176674 | C10 | Control |
SA176675 | C08 | Control |
SA176676 | C28 | Control |
SA176677 | C26 | Control |
SA176678 | C17 | Control |
SA176679 | C23 | Control |
SA176680 | C25 | Control |
SA176681 | C03 | Control |
SA176682 | C18 | Control |
SA176683 | C24 | Control |
SA176684 | C04 | Control |
SA176685 | C14 | Control |
SA176686 | C12 | Control |
SA176687 | C05 | Control |
SA176688 | C11 | Control |
SA176689 | C06 | Control |
SA176690 | C19 | Control |
SA176691 | C29 | Control |
SA176692 | C07 | Control |
SA176693 | C16 | Control |
SA176694 | C20 | Control |
SA176695 | C30 | Control |
SA176696 | C13 | Control |
SA176697 | C22 | Control |
SA176698 | C01 | Control |
SA176699 | C27 | Control |
SA176700 | C02 | Control |
SA176701 | C15 | Control |
SA176702 | C21 | Control |
SA176703 | P14B | Diabetes |
SA176704 | P09B | Diabetes |
SA176705 | P27B | Diabetes |
SA176706 | P31B | Diabetes |
SA176707 | P03B | Diabetes |
SA176708 | P33B | Diabetes |
SA176709 | P04B | Diabetes |
SA176710 | P05B | Diabetes |
SA176711 | P02B | Diabetes |
SA176712 | P21B | Diabetes |
SA176713 | P26B | Diabetes |
SA176714 | P07B | Diabetes |
SA176715 | P12B | Diabetes |
SA176716 | P24B | Diabetes |
SA176717 | P20B | Diabetes |
SA176718 | P23B | Diabetes |
SA176719 | P08B | Diabetes |
SA176720 | P30B | Diabetes |
SA176721 | P29B | Diabetes |
SA176722 | P19B | Diabetes |
SA176723 | P22B | Diabetes |
SA176724 | P10B | Diabetes |
SA176725 | P01B | Diabetes |
SA176726 | P25B | Diabetes |
SA176727 | P17B | Diabetes |
SA176728 | P11B | Diabetes |
SA176729 | P15B | Diabetes |
SA176730 | P16B | Diabetes |
SA176731 | P13B | Diabetes |
SA176732 | P06B | Diabetes |
SA176733 | P32B | Diabetes |
Showing results 1 to 61 of 61 |
Collection:
Collection ID: | CO001977 |
Collection Summary: | Fasting plasma used for metabolomics was collected, kept at 4℃ in a freezer (CubeCooler®; Forte Grow Medical, Tochigi, Japan), and then subsequently frozen at −80℃ |
Sample Type: | Blood (plasma) |
Treatment:
Treatment ID: | TR001996 |
Treatment Summary: | Systemically healthy controls and T2D patients were recruited. |
Sample Preparation:
Sampleprep ID: | SP001990 |
Sampleprep Summary: | At first, 50 µL of plasma was mixed with 150 µL of deaerated H2O containing 0.2 mg/mL of ribitol, which was used as an internal standard, (1200 rpm, 10 min, 4°C). Then, 800 µL of deaerated MeCN was added (1200 rpm, 10 min, 4°C) and centrifuged (16000×g, 3 min, 4°C). Next, 300 µL of supernatant were transferred to an Eppendorf tube. All the steps up to this point were performed in a cold room at 4°C. The samples were then dried in a vacuum centrifuge dryer for 1 hour and lyophilized overnight. For derivatization, first, 100 µL of methoxyamine hydrochloride in pyridine (20 mg/mL) was added to the samples, and the mixture was incubated (1200 rpm, 90 min, 30°C). A second derivatizing agent, N-methyl-N-trimethysilyl-trifuroacetamide (MSTFA), was then added and the mixture was incubated (1200 rpm, 30 min, 37°C). After centrifucation (16000×g, 3 min), 100 µL of derivatized samples were transferred to glass vials. |
Combined analysis:
Analysis ID | AN003103 |
---|---|
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 |
Chromatography:
Chromatography ID: | CH002290 |
Instrument Name: | GC-MS/MS-TQ8040 |
Column Name: | InertCap 5MS/NP capillary |
Chromatography Type: | GC |
MS:
MS ID: | MS002885 |
Analysis ID: | AN003103 |
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 |