Decoding the interplay between COVID-19 and diabetic nephropathy through bioinformatics and systems biology techniques
The findings of this study reveal shared molecular pathways and hub genes between COVID-19 and DN, providing insights into immune dysregulation and tissue injury mechanisms. Strategies associated with identified biomarkers and therapeutic candidates, including interleukin-7 receptor-targeting strategies, offer the potential for improving clinical outcomes in patients with comorbid COVID-19 and DN. Lastly, these findings underscore the value of integrative bioinformatics in guiding precision medicine approaches for complex disease interactions.
Authors
- Xianxiang Chen (ORCID: https://orcid.org/0000-0002-9525-6089)
- Qingle Zeng (ORCID: https://orcid.org/0000-0003-0750-540X)
- Min Xia (ORCID: https://orcid.org/0000-0001-9435-7649)
- Yufen Chen (ORCID: https://orcid.org/0000-0001-8959-9571)
Institutions
- Sun Yat-sen University (CN)
- Guangxi Medical University (CN)
- The People's Hospital of Guangxi Zhuang Autonomous Region (CN)
- Sun Yat-sen University Cancer Center (CN)
Publication Details
- Journal
- Biochemistry and Biophysics Reports
- Published
- 2025-11-20
- DOI
- https://doi.org/10.1016/j.bbrep.2025.102366
- Primary Topic
- COVID-19 Clinical Research Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00