Summary of project PR002205
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 PR002205. The data can be accessed directly via it's Project DOI: 10.21228/M8M52Z This work is supported by NIH grant, U2C- DK119886.
See: https://www.metabolomicsworkbench.org/about/howtocite.php
| Project ID: | PR002205 |
| Project DOI: | doi: 10.21228/M8M52Z |
| Project Title: | Lipidomic Profiling of a Preclinical Model of Streptozotocin induced Diabetic Cardiomyopathy |
| Project Summary: | Despite advances in diabetes care, people with type 1 diabetes (T1D) continue to have a shorter life expectancy than the general population due to a higher risk of cardiovascular disease. These heart complications are the leading cause of death in people with diabetes. People with diabetes develop heart failure without other common risk factors like high blood pressure or coronary heart disease. This condition is known as ‘diabetic cardiomyopathy’. Unfortunately, the exact causes of diabetes-induced heart failure in people with T1D are not fully understood. Given the lack of effective treatment for diabetic cardiomyopathy, the discovery of clear diagnostic lipid biomarkers from preclinical models of T1D could be key to managing disease progression. |
| Institute: | Baker Heart and Diabetes Institute |
| Laboratory: | Metabolomics |
| Last Name: | Tham |
| First Name: | Yow |
| Address: | 75 Commercial Rd |
| Email: | yowkeat.tham@baker.edu.au |
| Phone: | 0430502623 |
Summary of all studies in project PR002205
| Study ID | Study Title | Species | Institute | Analysis(* : Contains Untargted data) | Release Date | Version | Samples | Download(* : Contains raw data) |
|---|---|---|---|---|---|---|---|---|
| ST003575 | Lipidomic Profiling of a Preclinical Model of Streptozotocin induced Diabetic Cardiomyopathy | Mus musculus | Baker Heart and Diabetes Institute | MS | 2025-02-13 | 1 | 17 | Uploaded data (98M)* |