Transcriptomic and bioinformatics analysis reveals the host response feature and potential treatment strategy of patients with dengue fever
Chengxin Liu, Xinbo Yu, Jiafan Chen, Ming Zhong, Bei Ye, Kai Wang, Yong Jiang, Geng Li, Shaofeng Zhan · 2026
Read Transcriptomic and bioinformatics analysis reveals the host response feature and potential treatment strategy of patients with dengue fever by Chengxin Liu, Xinbo Yu, Jiafan Chen, Ming Zhong, Bei Ye, Kai Wang, Yong Jiang, Geng Li, Shaofeng Zhan (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-13171569.txt.
Description
Chengxin Liu and co-authors published this dengue study in 2026. Dengue fever can escalate from a flu-like illness to organ damage, and no specific medicine exists. The team sequenced gene activity in blood from forty-two patients and twenty-three healthy volunteers. Thousands of genes differed between the groups. Network analysis and two machine learning methods narrowed the signal to five genes tied to the infection.
The changed genes clustered in virus-sensing and inflammation pathways, including those triggering web-like traps from immune cells. The team profiled which immune cells populated patients' blood and how they related to the genes. Drug databases suggested candidates worth testing. One was diflunisal, an anti-inflammatory drug. Several traditional heat-clearing herbs appeared. The authors present the gene signature as a window on how the body fights dengue, and the drug list as a starting point for treatment research.
Catalog record
| CREATOR | Chengxin Liu, Xinbo Yu, Jiafan Chen, Ming Zhong, Bei Ye, Kai Wang, Yong Jiang, Geng Li, Shaofeng Zhan |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 48 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |