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.

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Study IDST002158
Study TitleUntargeted serum metabolomic profiling for early detection of Schistosoma mekongi infection in mouse model
Study SummaryMekong 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 NameChienwichai
First NamePeerut
Address906, Kamphaeng Phet 6 Rd., Lak Si, Bangkok, 10210, Thailand
Emailpeerut.chi@cra.ac.th
Phone+6681687460
Submit Date2022-03-31
Raw Data AvailableYes
Raw Data File Type(s)wiff
Analysis Type DetailLC-MS
Release Date2022-06-01
Release Version1
Peerut Chienwichai Peerut Chienwichai
https://dx.doi.org/10.21228/M8H691
ftp://www.metabolomicsworkbench.org/Studies/ application/zip

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Factors:

Subject type: Mammal; Subject species: Mus musculus (Factor headings shown in green)

mb_sample_id local_sample_id Experimental factor
SA2069762-Week post-infection 12 weeks after infection
SA2069772-Week post-infection 32 weeks after infection
SA2069782-Week post-infection 52 weeks after infection
SA2069792-Week post-infection 22 weeks after infection
SA2069802-Week post-infection 42 weeks after infection
SA2069814-Week post-infection 34 weeks after infection
SA2069824-Week post-infection 54 weeks after infection
SA2069834-Week post-infection 44 weeks after infection
SA2069844-Week post-infection 24 weeks after infection
SA2069854-Week post-infection 14 weeks after infection
SA2069868-Week post-infection 38 weeks after infection
SA2069878-Week post-infection 48 weeks after infection
SA2069888-Week post-infection 58 weeks after infection
SA2069898-Week post-infection 28 weeks after infection
SA2069908-Week post-infection 18 weeks after infection
SA206991Control 2No infection
SA206992Control 5No infection
SA206993Control 4No infection
SA206994Control 3No infection
SA206995Control 1No infection
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