Identification of potential biomarkers for diabetic nephropathy via UPLC-MS/MS-based metabolomics
In conclusion, this study provides valuable insights into potential metabolic markers and mechanisms for early identification and prediction of DN progression, which may aid in developing more accurate diagnostic tools and targeted therapies for DN.
Authors
- Yuanyuan Li (ORCID: https://orcid.org/0000-0003-4711-4294)
- Jingyi Kang
- Tao Jiang (ORCID: https://orcid.org/0000-0002-1791-3768)
- Hongwei� Jiang (ORCID: https://orcid.org/0000-0003-3807-7989)
- Jiajia Duan (ORCID: https://orcid.org/0000-0002-7587-1789)
- Ying Li (ORCID: https://orcid.org/0000-0003-0166-6528)
- Yalin Liu (ORCID: https://orcid.org/0009-0006-4330-8939)
- Xiangmei Chen (ORCID: https://orcid.org/0000-0001-5790-4789)
- Yujin Ma (ORCID: https://orcid.org/0000-0003-3492-7229)
- Baotong Yang
- Peipei Du (ORCID: https://orcid.org/0009-0003-9851-8392)
- Hetao Chen
Institutions
- Chinese PLA General Hospital (CN)
- First Affiliated Hospital of Henan University of Science and Technology (CN)
Publication Details
- Journal
- Frontiers in Endocrinology
- Published
- 2025-09-01
- DOI
- https://doi.org/10.3389/fendo.2025.1581691
- Citations
- 2
- Primary Topic
- Metabolomics and Mass Spectrometry Studies
- Type
- article
- Field-Weighted Citation Impact
- 1.61
Funders
- Henan University of Science and Technology
- Henan University