Metabolomic profiling of plasma reveals differential disease severity markers in avian influenza A(H7N9) infection patients
We first revealed the plasma metabolomic characteristics of H7N9 patients and found that a machine-learning model based on plasma metabolites could predict the risk of death for H7N9 in the early stage of admission.
Authors
- Mingzhu Huang (ORCID: https://orcid.org/0000-0002-0437-5737)
- Joshua Ni
- Wenxin Qu
- Jiaqi Bao (ORCID: https://orcid.org/0009-0002-1982-0458)
- Zhenzhen Deng (ORCID: https://orcid.org/0000-0003-3045-1710)
- Zheying Mao
- Shufa Zheng (ORCID: https://orcid.org/0000-0003-2536-1008)
- Chang Liu (ORCID: https://orcid.org/0000-0003-3917-0624)
- Yuefeng Wang (ORCID: https://orcid.org/0000-0002-0029-3988)
- Dongsheng Han (ORCID: https://orcid.org/0009-0007-9711-2891)
- Yifei Shen (ORCID: https://orcid.org/0000-0003-4745-9145)
- Weizhen Chen (ORCID: https://orcid.org/0000-0001-5209-1934)
- Fei Yu (ORCID: https://orcid.org/0000-0001-6332-4326)
Institutions
- Chinese Academy of Sciences (CN)
- First Affiliated Hospital Zhejiang University (CN)
Publication Details
- Journal
- International Journal of Infectious Diseases
- Published
- 2025-06-17
- DOI
- https://doi.org/10.1016/j.ijid.2025.107957
- Citations
- 1
- Primary Topic
- Influenza Virus Research Studies
- Type
- article
- Field-Weighted Citation Impact
- 1.35
Funders
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases
- Natural Science Foundation of Zhejiang Province
- Science Fund for Distinguished Young Scholars of Zhejiang Province