Summary of Study ST003520
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 PR002165. The data can be accessed directly via it's Project DOI: 10.21228/M8S247 This work is supported by NIH grant, U2C- DK119886.
See: https://www.metabolomicsworkbench.org/about/howtocite.php
| Study ID | ST003520 |
| Study Title | Identification of Plasma Metabolomic Biomarkers of Juvenile Idiopathic Arthritis |
| Study Type | Clinical |
| Study Summary | This study utilizes plasma metabolomic profiling to identify biomarkers associated with juvenile idiopathic arthritis (JIA) by analyzing samples from treatment-naïve JIA patients and non-JIA controls. Significant metabolic alterations were detected, with sphingosine metabolites and fatty acid ethanolamides showing notable increases in JIA patients, while specific compounds such as sarcosine were decreased. The research highlights 11 highly discriminatory metabolites, including sphinganine-1-phosphate, demonstrating potential for improved JIA diagnosis and treatment through targeted metabolic profiling. |
| Institute | University of Kansas |
| Department | Center for Computational Biology |
| Laboratory | Funk |
| Last Name | Kumar |
| First Name | Amar |
| Address | Multidisciplinary Research Bldg. 2030 Becker Drive Lawrence, KS 66047 |
| amarkumar@ku.edu | |
| Phone | 18723016225 |
| Submit Date | 2024-09-09 |
| Num Groups | 2 |
| Total Subjects | 210 |
| Num Males | 82 |
| Num Females | 128 |
| Study Comments | Although the raw dataset initially included 210 subjects, only 207 were included in the final analysis due to consent-related exclusions. These three subjects were removed to ensure compliance with ethical standards. |
| Analysis Type Detail | LC-MS |
| Release Date | 2024-11-01 |
| Release Version | 1 |
Select appropriate tab below to view additional metadata details:
Project:
| Project ID: | PR002165 |
| Project DOI: | doi: 10.21228/M8S247 |
| Project Title: | Identification of Plasma Metabolomic Biomarkers of Juvenile Idiopathic Arthritis |
| Project Type: | Clinical |
| Project Summary: | The identification of reliable disease and therapeutic biomarkers remains a significant challenge for early diagnosis and the initiation of effective disease-modifying therapies in juvenile idiopathic arthritis (JIA). In this study, comprehensive plasma metabolomic profiling was conducted to elucidate metabolic biomarkers associated with JIA pathophysiology. |
| Institute: | University of Kansas |
| Department: | Center for Computational Biology |
| Laboratory: | Funk |
| Last Name: | Kumar |
| First Name: | Amar |
| Address: | Multidisciplinary Research Bldg. 2030 Becker Drive, Lawrence, KS 66047 |
| Email: | amarkumar@ku.edu |
| Phone: | 18723016225 |
