Identification of biomarkers for the diagnosis of chronic kidney disease (CKD) with dilated cardiomyopathy (DCM) by bioinformatics analysis and machine learning
We identified MNS1 and HERC6 as biomarkers and developed a new diagnostic nomogram based on them for the timely diagnosis of CKD patients presenting with DCM complications. This study's findings offer novel insights into potential diagnostic methods and therapeutic strategies regarding the coexistence of CKD and DCM.
Authors
- Wenyang Nie (ORCID: https://orcid.org/0009-0009-4688-6402)
- Zhen Wang (ORCID: https://orcid.org/0000-0002-7121-7907)
- Yong Wang (ORCID: https://orcid.org/0000-0001-8518-6745)
- Yuhang Liu (ORCID: https://orcid.org/0000-0002-5246-1330)
Institutions
- Shandong University of Traditional Chinese Medicine (CN)
- Affiliated Hospital of Shandong University of Traditional Chinese Medicine (CN)
Publication Details
- Journal
- Frontiers in Genetics
- Published
- 2025-05-30
- DOI
- https://doi.org/10.3389/fgene.2025.1562891
- Citations
- 1
- Primary Topic
- Cardiovascular Function and Risk Factors
- Type
- article
- Field-Weighted Citation Impact
- 1.39
Funders
- National Natural Science Foundation of China
- Natural Science Foundation of Shandong Province