Summary of Study ST002722
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 PR001688. The data can be accessed directly via it's Project DOI: 10.21228/M8HH7C 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 | ST002722 |
| Study Title | Cirrhosis-related metabolomics study |
| Study Summary | There are limited data on the diagnostic accuracy of gut microbial signatures for predicting hepatic decompensation in patients with cirrhosis. The aim of this study is to determine whether a stool genomic and metabolic signature accurately detects hepatic decompensation and mortality risk in cirrhosis secondary to nonalcoholic fatty liver disease (NAFLD). Shotgun metagenomic sequencing was performed on fecal samples collected from a prospective cohort of adults with NAFLD-related cirrhosis. The signatures were further validated with a metabolomic study on serum samples. Finally, we developed a Random Forest machine learning algorithm to make predictions on hepatic decompensation and mortality in NAFLD-related cirrhosis. Here we uploaded the metabolomics study data from LC-MS/MS. |
| Institute | University of British Columbia |
| Last Name | Zhao |
| First Name | Tingting |
| Address | 2036 Main Mall, V6T 1Z1 |
| tingzhao@chem.ubc.ca | |
| Phone | 6048221253 |
| Submit Date | 2023-05-30 |
| Raw Data Available | Yes |
| Raw Data File Type(s) | mzXML |
| Analysis Type Detail | LC-MS |
| Release Date | 2023-06-12 |
| Release Version | 1 |
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Subject:
| Subject ID: | SU002828 |
| Subject Type: | Human |
| Subject Species: | Homo sapiens |
| Taxonomy ID: | 9606 |
| Gender: | Not applicable |
