Analysis of key microRNA molecules associated with acute kidney injury based on bioinformatics method
This bioinformatics analysis highlights 277 differentially expressed genes and 12 potential miRNAs that may serve as biomarkers for AKI detection and therapy. These findings contribute to a better understanding of the molecular mechanisms underlying AKI and offer promising targets for future diagnostic and therapeutic strategies.
Authors
- Xingxiang Chen (ORCID: https://orcid.org/0000-0003-1625-4374)
- Wenmin Wang (ORCID: https://orcid.org/0000-0002-9652-0523)
- Dayong Wu
- Yan Wang
- Dongzhi Liu
- Hongyi Shao (ORCID: https://orcid.org/0000-0001-9781-565X)
- Qiang Ma (ORCID: https://orcid.org/0000-0003-4841-5005)
- Xiaoyang Zhang (ORCID: https://orcid.org/0009-0005-5114-2732)
- Chuang Chen (ORCID: https://orcid.org/0000-0001-7189-7239)
- Jialin Xu (ORCID: https://orcid.org/0009-0005-7149-4292)
Institutions
- Shaoxing People's Hospital (CN)
- Tsinghua University (CN)
Publication Details
- Journal
- Medicine
- Published
- 2025-03-07
- DOI
- https://doi.org/10.1097/md.0000000000041785
- Citations
- 2
- Primary Topic
- Acute Kidney Injury Research
- Type
- article
- Field-Weighted Citation Impact
- 2.86