Identification of immune-related mitochondrial metabolic disorder genes in septic shock using bioinformatics and machine learning
In this study, we recognized four immune-mitochondrial key genes (PGS1, C6orf136, THEM4, and EPHX2) in septic shock and designed a novel gene diagnosis model that provided a new and meaningful way for the diagnosis of septic shock.
Authors
- Chunrong Wu (ORCID: https://orcid.org/0000-0001-8517-1543)
- Jianguo Tang (ORCID: https://orcid.org/0000-0003-1263-7327)
- Liou Huang
- Yuhui Cui
- Dan Xu (ORCID: https://orcid.org/0000-0001-6227-3184)
Institutions
- Fudan University (CN)
- Obstetrics and Gynecology Hospital of Fudan University (CN)
Publication Details
- Journal
- Hereditas
- Published
- 2024-11-28
- DOI
- https://doi.org/10.1186/s41065-024-00350-y
- Primary Topic
- Metabolomics and Mass Spectrometry Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00