| Accession |
PRJCA013833 |
| Title |
Insights into serum metabolic biomarkers for early detection of incident diabetic kidney disease in patients with type 2 diabetes by random forest |
| Relevance |
Medical |
| Data types |
metabolome
|
| Organisms |
Homo sapiens
|
| Description |
To identify early biomarkers for diabetic kidney diseases, we performed untargeted metabolome analysis using the serum samples of 194 individuals. |
| Sample scope |
serum |
| Release date |
2022-12-12 |
| Publication |
| PubMed ID |
Article title |
Journal name |
DOI |
Year |
| 38349886
|
Insights into serum metabolic biomarkers for early detection of incident diabetic kidney disease in Chinese patients with type 2 diabetes by random forest
|
Aging (Albany NY)
|
10.18632/aging.205542
|
2024
|
|
|
| Grants |
| Agency |
program |
Grant ID |
Grant title |
| National Natural Science Foundation of China (NSFC)
|
|
81704012
|
|
|
|
| Submitter |
Jianjun
Jiang (jianjunjiang@outlook.com)
|
| Organization |
Shenzhen Traditional Chinese Medicine Hospital |
| Submission date |
2022-12-12 |
