Biomarkers of Arginine Methylation in Diabetic Nephropathy: Novel Insights from Bioinformatics Analysis
Comprehensive bioinformatics analysis revealed that FAM98A and FAM13B were potential DN biomarkers correlated with PRMT-RGs and immune cells. This study provided useful insights for elucidating the molecular mechanisms and developing targeted therapy for DN.
Authors
- Liyan Wang (ORCID: https://orcid.org/0000-0002-6564-1090)
- Zongli Diao (ORCID: https://orcid.org/0000-0002-5019-9009)
- X.‐D. Wang (ORCID: https://orcid.org/0000-0002-3485-3998)
- Hongdong Huang (ORCID: https://orcid.org/0000-0001-8062-1808)
- Yiming Guan (ORCID: https://orcid.org/0000-0001-7367-3837)
- Xiayan Yin
Institutions
- Capital Medical University (CN)
- Beijing Friendship Hospital (CN)
Publication Details
- Journal
- Diabetes Metabolic Syndrome and Obesity
- Published
- 2024-09-01
- DOI
- https://doi.org/10.2147/dmso.s472412
- Citations
- 1
- Primary Topic
- Cancer-related gene regulation
- Type
- article
- Field-Weighted Citation Impact
- 0.23
Funders
- National Natural Science Foundation of China
- Capital Medical University
- Beijing Friendship Hospital, Capital Medical University