Integrated machine learning and bioinformatic analysis of mitochondrial-related signature in chronic rhinosinusitis with nasal polyps
Our findings systematically unraveled 5 hub markers correlated with mitochondrial metabolism and immune cell infiltration in CRSwNP, suggesting their potential to be based to design diagnostic and therapeutic strategies for the disease.
Authors
- Ye Yuan (ORCID: https://orcid.org/0000-0002-8339-0504)
- Jiaqi Zhang (ORCID: https://orcid.org/0000-0002-9496-9263)
- Hong Chen (ORCID: https://orcid.org/0000-0002-1867-1107)
- Min Gu (ORCID: https://orcid.org/0000-0001-5450-558X)
- Lei Cheng (ORCID: https://orcid.org/0000-0001-6541-7702)
- Changyu Qiu
- Mei-Ping Lu
- Bo Yang (ORCID: https://orcid.org/0009-0002-0003-5441)
- Xin-Yuan Zou
Institutions
- Nanjing Medical University (CN)
Publication Details
- Journal
- World Allergy Organization Journal
- Published
- 2024-09-19
- DOI
- https://doi.org/10.1016/j.waojou.2024.100964
- Citations
- 3
- Primary Topic
- Advanced Chemical Sensor Technologies
- Type
- article
- Field-Weighted Citation Impact
- 0.55
Funders
- Government of Jiangsu Province
- Nanjing Medical University