Summary of Study ST002158
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 PR001371. The data can be accessed directly via it's Project DOI: 10.21228/M8H691 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 | ST002158 |
| Study Title | Untargeted serum metabolomic profiling for early detection of Schistosoma mekongi infection in mouse model |
| Study Summary | Mekong schistosomiasis is a parasitic disease caused by blood flukes in the Lao People’s Democratic Republic and in Cambodia. The standard method for diagnosis of schistosomiasis is detection of parasite eggs from patient samples. However, this method is not sufficient to detect asymptomatic patients, low egg numbers, or early infection. Therefore, diagnostic methods with higher sensitivity at the early stage of the disease are needed to fill this gap. The aim of this study was to identify potential biomarkers of early schistosomiasis using an untargeted metabolomics approach. Serum of uninfected and S. mekongi-infected mice was collected at 2, 4, and 8 weeks post-infection. Samples were extracted for metabolites and analyzed with a liquid chromatography-tandem mass spectrometer. Metabolites were annotated with the MS-DIAL platform and analyzed with Metaboanalyst bioinformatic tools. Multivariate analysis distinguished between metabolites from the different experimental conditions. Biomarker screening was performed using three methods: correlation coefficient analysis; feature important detection with a random forest algorithm; and receiver operating characteristic (ROC) curve analysis. Three compounds were identified as potential biomarkers at the early stage of the disease: heptadecanoyl ethanolamide; picrotin; and theophylline. The levels of these three compounds changed significantly during early-stage infection, and therefore these molecules may be promising schistosomiasis markers. These findings may help to improve early diagnosis of schistosomiasis, thus reducing the burden on patients and limiting spread of the disease in endemic areas. |
| Institute | Princess Srisavangavadhana College of Medicine, Chulabhorn Royal Academy |
| Last Name | Chienwichai |
| First Name | Peerut |
| Address | 906, Kamphaeng Phet 6 Rd., Lak Si, Bangkok, 10210, Thailand |
| peerut.chi@cra.ac.th | |
| Phone | +6681687460 |
| Submit Date | 2022-03-31 |
| Raw Data Available | Yes |
| Raw Data File Type(s) | wiff |
| Analysis Type Detail | LC-MS |
| Release Date | 2022-06-01 |
| Release Version | 1 |
Select appropriate tab below to view additional metadata details:
Combined analysis:
| Analysis ID | AN003533 | AN003534 |
|---|---|---|
| Analysis type | MS | MS |
| Chromatography type | Reversed phase | Reversed phase |
| Chromatography system | Agilent 1260 | Agilent 1260 |
| Column | Waters Acquity BEH C8 (100 x 2.1mm,1.7um) | Waters Acquity BEH C8 (100 x 2.1mm,1.7um) |
| MS Type | ESI | ESI |
| MS instrument type | QTOF | QTOF |
| MS instrument name | ABI Sciex 5600+ TripleTOF | ABI Sciex 5600+ TripleTOF |
| Ion Mode | POSITIVE | NEGATIVE |
| Units | m/z | m/z |
Chromatography:
| Chromatography ID: | CH002610 |
| Instrument Name: | Agilent 1260 |
| Column Name: | Waters Acquity BEH C8 (100 x 2.1mm,1.7um) |
| Chromatography Type: | Reversed phase |
