Summary of Study ST002261
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 PR001443. The data can be accessed directly via it's Project DOI: 10.21228/M86H66 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 | ST002261 |
| Study Title | Investigating metabolic pathways of pediatric obesity (urine) |
| Study Summary | The pediatric obesity influences all the organs and is closely linked to an increased risk of diverse diseases such as diabetes, cardiovascular, stroke, social problems and depression. Therefore, there is needed to diverse study for effective methods for the prevention and treatment of pediatric obesity. Diverse evidences suggest that gut microbiome and its metabolites affect metabolic disease such as obesity, diabetes, and heart disease. Previous studies in human and fecal transplantation experiments in animal models identified connections between the metabolic diseases and gut microbiota [4]. Moreover, metabolites can be fulfilled as diagnostic, prognostic, and therapeutic targets for diseases. Thus, approaches using metagenomics and metabolomics have the potential to provide new insights into metabolomic pathways of the diseases and help personalized and efficient treatments. In this study, we aimed to investigate metabolomic pathways of pediatric obesity analyzing both metabolome and microbiome profiles. In addition, we proceeded obese intervention with obese children to examine underlying metabolomic pathways related to effect of the intervention. |
| Institute | Seoul National University College of Medicine and Hospital |
| Department | Department of Clinical Pharmacology and Therapeutics |
| Last Name | Lee |
| First Name | Yujin |
| Address | 101 Daehak-ro, Jongno-gu, Seoul 110-799, Korea, Seoul, Seoul, 03080, Korea, South |
| yoojinlee@snu.ac.kr | |
| Phone | +82-10-3380-4686 |
| Submit Date | 2022-07-04 |
| Raw Data Available | Yes |
| Raw Data File Type(s) | smp |
| Analysis Type Detail | GC-MS |
| Release Date | 2023-01-04 |
| Release Version | 1 |
Select appropriate tab below to view additional metadata details:
Combined analysis:
| Analysis ID | AN003694 |
|---|---|
| Analysis type | MS |
| Chromatography type | GC |
| Chromatography system | Agilent 7890B |
| Column | Restek Rtx-5Sil (30m x 0.25mm,0.25um) |
| MS Type | EI |
| MS instrument type | GC-TOF |
| MS instrument name | Leco Pegasus HT TOF |
| Ion Mode | NEGATIVE |
| Units | intensity |
MS:
| MS ID: | MS003445 |
| Analysis ID: | AN003694 |
| Instrument Name: | Leco Pegasus HT TOF |
| Instrument Type: | GC-TOF |
| MS Type: | EI |
| MS Comments: | The LECO Corporation ChromaTOF®-GC software (v4.72) was used for data acquisition and extraction. This included computation of baseline (offset of 1; above the noise) and automatic entering the number of data points for smoothing. The software's Statistical Compare was used to align peaks. The MS spectral matching was performed using the NIST and Wiley9 libraries. Also, retention index method was used for identification. |
| Ion Mode: | NEGATIVE |
