Summary of Study ST002921
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 PR001815. The data can be accessed directly via it's Project DOI: 10.21228/M83Q7Q 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 | ST002921 |
| Study Title | Metabolomic Characteristics of Nontuberculous Mycobacterial Pulmonary Disease |
| Study Summary | While the burden of nontuberculous mycobacterial pulmonary disease (NTM-PD) continues to increase, knowledge of biomarkers for NTM-PD remains insufficient. Furthermore, metabolic changes in NTM-PD have not yet been investigated. The identification of specific metabolites and associated metabolic pathways unique to NTM-PD will provide a deeper understanding of its pathogenesis. In this study, we aimed to discover specific metabolic biomarkers for NTM-PD using a metabolomics approach. In this study, we underwent untargeted metabolomic profiling using a liquid chromatography system coupled with the quadrupole-orbitrap mass spectrometer to analyze serum samples from patients with NTM-PD (n = 50), patients with non-NTM bronchiectasis (n = 50), and HC subjects (n = 60). To validate the results, an additional 86 serum samples for each group were analyzed using the same analytical methods. We identified several NTM-PD significant metabolites that differentiate patients with NTM-PD from healthy individuals. The machine learning-based classification model demonstrated the proficiency of the selected metabolic features in distinguishing between patients with NTM-PD and healthy individuals. These findings may contribute to a better understanding of the pathogenesis of NTM-PD and provide insights for the development of novel treatment approaches. |
| Institute | Seoul National University College of Medicine and Hospital |
| Last Name | Jungeun |
| First Name | Kim |
| Address | 101 Daehak-ro, Jongno-gu, Seoul, Korea |
| jeunk@snu.ac.kr | |
| Phone | +821026965910 |
| Submit Date | 2023-10-05 |
| Num Groups | 3 |
| Total Subjects | 418 |
| Raw Data Available | Yes |
| Raw Data File Type(s) | raw(Thermo) |
| Analysis Type Detail | LC-MS |
| Release Date | 2024-01-31 |
| Release Version | 1 |
Select appropriate tab below to view additional metadata details:
Combined analysis:
| Analysis ID | AN004791 |
|---|---|
| Analysis type | MS |
| Chromatography type | Reversed phase |
| Chromatography system | Thermo Dionex Ultimate 3000 |
| Column | Waters ACQUITY UPLC HSS T3 (100 x 2.1mm,1.8um) |
| MS Type | ESI |
| MS instrument type | Orbitrap |
| MS instrument name | Thermo Q Exactive Plus Orbitrap |
| Ion Mode | POSITIVE |
| Units | Peak area |
