Summary of Study ST000888
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 PR000617. The data can be accessed directly via it's Project DOI: 10.21228/M8X96N 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 | ST000888 |
| Study Title | Lyme Disease Biosignature Training (95 MFs) |
| Study Type | Metabolomic Analysis |
| Study Summary | Retrospective serum samples from patients with early Lyme disease, other diseases, and healthy controls were analyzed for small molecule metabolites by liquid chromatography-mass spectrometry (LC-MS). A metabolomics data workflow was applied to select a biosignature for classifying early Lyme disease and non-Lyme disease patients. A statistical model of the biosignature was trained using the patients' LC-MS data, and subsequently applied as an experimental diagnostic tool with LC-MS data from additional patient sera. |
| Institute | Colorado State University |
| Department | Department of Microbiology, Immunology, and Pathology |
| Laboratory | Belisle |
| Last Name | Belisle |
| First Name | John |
| Address | 200 West Lake, Campus Delivery 0922, Colorado State University, Fort Collins, CO, 80523, USA |
| john.belisle@colostate.edu | |
| Phone | 970-491-5384 |
| Submit Date | 2017-09-05 |
| Num Groups | 9 |
| Study Comments | All samples and data used in training are provided. All samples and data used in testing are provided, except healthy controls that were experimentally heat treated. |
| Publications | https://doi.org/10.1093/cid/civ185 |
| Analysis Type Detail | LC-MS |
| Release Date | 2017-11-15 |
| Release Version | 1 |
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Sample Preparation:
| Sampleprep ID: | SP000932 |
| Sampleprep Summary: | Small molecule metabolites were extracted from aliquots (20 μL) of sera with 75% (final vol) HPLC grade methanol. An aliquot equivalent to 5 μL of serum was analyzed by LC-MS. |
| Sampleprep Protocol Comments: | doi:10.1038/nprot.2011.335 |
