Summary of Study ST001411
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 PR000967. The data can be accessed directly via it's Project DOI: 10.21228/M8PX1S This work is supported by NIH grant, U2C- DK119886.
See: https://www.metabolomicsworkbench.org/about/howtocite.php
| Study ID | ST001411 |
| Study Title | Plasma metabolites of lipid metabolism associate with diabetic polyneuropathy in a cohort with screen-tested type 2 diabetes: ADDITION-Denmark |
| Study Summary | The global rise in type 2 diabetes (T2D) is associated with a concomitant increase in diabetic complications. Diabetic polyneuropathy (DPN), the most frequent T2D complication, is characterized by sensory peripheral nerve damage. Although managing glucose effectively slows DPN progression in type 1 diabetes patients, it has limited efficacy in neuropathic T2D patients. The metabolic syndrome (MetS) recently emerged as a major risk factor for DPN; however, the metabolites associated with MetS that correlate with DPN are unknown. We conducted a global plasma metabolomics analysis from a cohort of patients enrolled in the Anglo-Danish-Dutch study of Intensive Treatment of Diabetes in Primary Care (ADDITION), including healthy control subjects, T2D patients, and T2D DPN patients. We identified 15 total plasma metabolites that were altered in T2D DPN patients, including lipids, amino acids, and energy-related metabolites. We evaluated the correlation between these metabolites and all lipid species to identify major changes in both plasma free fatty acids and complex lipids in T2D DPN patients, and found significant alterations in the abundance of long-chain saturated fatty acids, acylcarnitines, and sphingolipids. Our study suggests that DPN in T2D is associated with novel alterations in plasma metabolites related to lipid metabolism. |
| Institute | University of Michigan |
| Last Name | Feldman |
| First Name | Eva |
| Address | 5017 AATBSRB, 109 Zina Pitcher Place, Ann Arbor, MI 48109-2200 |
| efeldman@med.umich.edu | |
| Phone | 7347637274 |
| Submit Date | 2020-06-22 |
| Num Groups | 3 |
| Total Subjects | 106 |
| Num Males | 83 |
| Num Females | 23 |
| Raw Data File Type(s) | wiff |
| Analysis Type Detail | LC-MS |
| Release Date | 2021-06-15 |
| Release Version | 1 |
Select appropriate tab below to view additional metadata details:
Combined analysis:
| Analysis ID | AN002361 |
|---|---|
| Analysis type | MS |
| Chromatography type | HILIC |
| Chromatography system | Waters Acquity |
| Column | Waters Acquity CSH C18 (100 x 2.1mm,1.7um) |
| MS Type | ESI |
| MS instrument type | UPLC-MS |
| MS instrument name | Waters Acquity |
| Ion Mode | POSITIVE |
| Units | peak area |
MS:
| MS ID: | MS002203 |
| Analysis ID: | AN002361 |
| Instrument Name: | Waters Acquity |
| Instrument Type: | UPLC-MS |
| MS Type: | ESI |
| MS Comments: | The informatics system consisted of four major components, the Laboratory Information Management System (LIMS), the data extraction and peak-identification software, data processing tools for QC and compound identification, and a collection of information interpretation and visualization tools for use by data analysts. The hardware and software foundations for these informatics components were the LAN backbone, and a database server running Oracle 10.2.0.1 Enterprise Edition. |
| Ion Mode: | POSITIVE |
