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:
Project:
Project ID: | PR001371 |
Project DOI: | doi: 10.21228/M8H691 |
Project Title: | Metabolomic profiles of S. mekongi-infected mouse serum at 0, 2, 4, 8 weeks (Positive mode) |
Project Summary: | 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. |
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 |
Email: | peerut.chi@cra.ac.th |
Phone: | +6681687460 |
Subject:
Subject ID: | SU002244 |
Subject Type: | Mammal |
Subject Species: | Mus musculus |
Taxonomy ID: | 10090 |
Species Group: | Mammals |
Factors:
Subject type: Mammal; Subject species: Mus musculus (Factor headings shown in green)
mb_sample_id | local_sample_id | Experimental factor |
---|---|---|
SA206976 | 2-Week post-infection 1 | 2 weeks after infection |
SA206977 | 2-Week post-infection 3 | 2 weeks after infection |
SA206978 | 2-Week post-infection 5 | 2 weeks after infection |
SA206979 | 2-Week post-infection 2 | 2 weeks after infection |
SA206980 | 2-Week post-infection 4 | 2 weeks after infection |
SA206981 | 4-Week post-infection 3 | 4 weeks after infection |
SA206982 | 4-Week post-infection 5 | 4 weeks after infection |
SA206983 | 4-Week post-infection 4 | 4 weeks after infection |
SA206984 | 4-Week post-infection 2 | 4 weeks after infection |
SA206985 | 4-Week post-infection 1 | 4 weeks after infection |
SA206986 | 8-Week post-infection 3 | 8 weeks after infection |
SA206987 | 8-Week post-infection 4 | 8 weeks after infection |
SA206988 | 8-Week post-infection 5 | 8 weeks after infection |
SA206989 | 8-Week post-infection 2 | 8 weeks after infection |
SA206990 | 8-Week post-infection 1 | 8 weeks after infection |
SA206991 | Control 2 | No infection |
SA206992 | Control 5 | No infection |
SA206993 | Control 4 | No infection |
SA206994 | Control 3 | No infection |
SA206995 | Control 1 | No infection |
Showing results 1 to 20 of 20 |
Collection:
Collection ID: | CO002237 |
Collection Summary: | 5 Mice were infected with S. mekongi and serum samples were collected at 0, 2, 4, and 8 weeks after infection. Metabolite profiling was performed with mass spectrometer. |
Sample Type: | Blood (serum) |
Treatment:
Treatment ID: | TR002256 |
Treatment Summary: | Blood was collected at 0, 2,4, and 8 weeks after infection |
Sample Preparation:
Sampleprep ID: | SP002250 |
Sampleprep Summary: | 20 μL serum was mixed with 80 μL cold methanol and vortexed for 1 minute. This mixture was then incubated at 4°C for 20 minutes and centrifuged at 12,000 rpm for 10 minutes. Next, the supernatant was collected and dried with a speed vacuum (Tomy Digital Biology, Tokyo, Japan). Samples were stored at −80°C until further analysis |
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 | Triple TOF | Triple TOF |
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 |
MS:
MS ID: | MS003291 |
Analysis ID: | AN003533 |
Instrument Name: | ABI Sciex 5600+ TripleTOF |
Instrument Type: | Triple TOF |
MS Type: | ESI |
MS Comments: | Information-dependent acquisition mode composed of a TOF-MS scan and 10 dependent product ion scans were used in the high sensitivity mode with dynamic background subtraction. The mass range of the TOF-MS scan was m/z 100–1,000 and the product ion scan was set to m/z 50−1,000. Equal aliquots of each metabolite sample were pooled to form the quality control (QC) samples. The QC samples were injected before, during, and after sample analysis to assess the system performance. |
Ion Mode: | POSITIVE |
MS ID: | MS003292 |
Analysis ID: | AN003534 |
Instrument Name: | ABI Sciex 5600+ TripleTOF |
Instrument Type: | Triple TOF |
MS Type: | ESI |
MS Comments: | Information-dependent acquisition mode composed of a TOF-MS scan and 10 dependent product ion scans were used in the high sensitivity mode with dynamic background subtraction. The mass range of the TOF-MS scan was m/z 100–1,000 and the product ion scan was set to m/z 50−1,000. Equal aliquots of each metabolite sample were pooled to form the quality control (QC) samples. The QC samples were injected before, during, and after sample analysis to assess the system performance. |
Ion Mode: | NEGATIVE |