Summary of Study ST002196
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 PR001400. The data can be accessed directly via it's Project DOI: 10.21228/M8RM5T 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.
| Study ID | ST002196 |
| Study Title | Metabolic signature of idiopathic inflammatory myopathy |
| Study Summary | Objective of this study was to find Metabolic signature of idiopathic inflammatory myopathy (IIM). We used the serum samples of healthy control, IIM, ankylosing spondylitis. Metabolites were quantified using biocrates p180 kit. First, we found IIM specific metabolites by using ANOVA with post-hoc analysis. With set of metabolite panel, we made prediction model using logistic regression (LR), support vector machine (SVM), and random forest (RF). We found 7 metabolites as biomarker for classifying IIM from healthy control and ankylosing spondylitis. Also, we validate our model using 5 cross validation method. Out set of metabolites showed the AUC values of 0.955 (LR), 0.908 (RF) and 0.918 (SVM). |
| Institute | Seoul National University |
| Last Name | Kang |
| First Name | Jihyun |
| Address | 502ho Intergrative Biomedical Education Research Building, 101 Deahakro, Jongro-gu, Seoul, 03080, Korea, South Korea |
| jikang@snu.ac.kr | |
| Phone | +821071014069 |
| Submit Date | 2022-06-09 |
| Raw Data Available | Yes |
| Raw Data File Type(s) | wiff |
| Analysis Type Detail | LC-MS |
| Release Date | 2022-07-14 |
| Release Version | 1 |
Select appropriate tab below to view additional metadata details:
Combined analysis:
| Analysis ID | AN003595 |
|---|---|
| Analysis type | MS |
| Chromatography type | Reversed phase |
| Chromatography system | AB SCIEX QTRAP 5500 |
| Column | Waters ACQUITY UPLC BEH C18 (75 x 2.1mm,1.7um) |
| MS Type | ESI |
| MS instrument type | QTRAP |
| MS instrument name | ABI Sciex 5500 QTrap |
| Ion Mode | POSITIVE |
| Units | ng/mL |
MS:
| MS ID: | MS003350 |
| Analysis ID: | AN003595 |
| Instrument Name: | ABI Sciex 5500 QTrap |
| Instrument Type: | QTRAP |
| MS Type: | ESI |
| MS Comments: | For LC part: Mobile phase A: 1000 mL water + 2 mL formic acid (FA) Mobile phase B: 500 mL ACN + 1 mL FA Wash solvent 1: 500 mL ACN + 200 mL MeOH + 150 mL iPrOH + 150 mL water + 2.5 mL FA Wash solvent 2: water Install column and precolumn (if required). Wash the column at 95% B and condition to 100% For FIA part: Deactivate “Use flat files for scan data” in the Analyst software FIA mobile phase: FIA Mobile Phase Additive (1x glass ampule) + 290 mL MeOH Wash solvent 1: 500 mL ACN + 200 mL MeOH + 150 mL iPrOH + 150 mL water + 2.5 mL FA Wash solvent 2 (if possible): 333 mL MeOH + 333 mL iPrOH + 333 mL water For data processing: Adjust the retention times in the quantitation method and if necessary some integration parameters. Process the LC-MS data using the Quantitation Wizard. Save the results. Import the results export (TXT file) into MetIDQTM Parse the FIA-MS WIFF files directly into MetIDQTM. Evaluate results, perform statistics (e.g. using MetaboINDICATOR™, StatPack, MetaboAnalyst). |
| Ion Mode: | POSITIVE |
