Identification of biomarkers for pediatric sepsis based on machine learning and bioinformatics analysis
expression levels were significantly downregulated in the disease group. This study provides new insights for developing novel diagnostic tools and targeted therapies for pediatric sepsis.
Authors
- Junwei Shan
- Weidong Ye (ORCID: https://orcid.org/0000-0003-0746-8290)
- Heng Xu (ORCID: https://orcid.org/0000-0002-9654-1674)
- Cheng Guo (ORCID: https://orcid.org/0000-0003-3452-2061)
- You Rong Duan
- Yi-Xiang Wang (ORCID: https://orcid.org/0000-0002-4021-4228)
- Sijia Chen
- Zhongyan Li
Institutions
- Sichuan University (CN)
- Quzhou City People's Hospital (CN)
- West China Hospital of Sichuan University (CN)
- Quzhou University (CN)
- Beike Biotechnology (China) (CN)
Publication Details
- Journal
- Frontiers in Immunology
- Published
- 2026-04-07
- DOI
- https://doi.org/10.3389/fimmu.2026.1768323
- Primary Topic
- Sepsis Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Quzhou Municipal Science and Technology Bureau