Analysis and validation of characteristic genes in RNA sequencing datasets from heart failure patients based on multiple algorithms
Integrated transcriptomic analysis identified 12 key genes linked to HF, which were validated in a hypertrophy model. Single-cell data showed SMCO4 and CSDC2 are specifically expressed in cardiomyocytes and regulate fatty acid metabolism. This suggests SMCO4 and CSDC2 contribute to HF by altering fatty acid metabolism in heart cells, revealing new disease mechanisms.
Authors
- Wujiao Wang (ORCID: https://orcid.org/0000-0003-2967-7018)
- Zhaotian Ma
- Yuxuan Li (ORCID: https://orcid.org/0000-0002-3034-7131)
- Peng Li (ORCID: https://orcid.org/0000-0001-7226-4214)
- Xiang Li (ORCID: https://orcid.org/0000-0003-3633-0506)
- Dong Li (ORCID: https://orcid.org/0000-0003-4129-2268)
- Qian Lin (ORCID: https://orcid.org/0000-0002-2885-5487)
- Ying Bai
- Jialin Jin
Institutions
- Beijing University of Chinese Medicine (CN)
- Capital Medical University (CN)
- Chinese Academy of Medical Sciences & Peking Union Medical College (CN)
- Peking Union Medical College Hospital (CN)
- Dongzhimen Hospital Affiliated to Beijing University of Chinese Medicine (CN)
- Beijing Hospital of Traditional Chinese Medicine (CN)
- Jining Medical University (CN)
Publication Details
- Journal
- Frontiers in Cardiovascular Medicine
- Published
- 2025-08-26
- DOI
- https://doi.org/10.3389/fcvm.2025.1559429
- Citations
- 2
- Primary Topic
- Bioinformatics and Genomic Networks
- Type
- article
- Field-Weighted Citation Impact
- 1.61