Circulating metabolic biomarkers predict incident sepsis: a large-scale population study in the UK Biobank
This study identified multiple plasma metabolic biomarkers were associated with risk of incident sepsis. The addition of these metabolic biomarkers to the conventional risk factors-based model significantly improved the prediction precision.
Authors
- Shaohua Zhao (ORCID: https://orcid.org/0000-0002-6788-3632)
- Yihui Li (ORCID: https://orcid.org/0000-0002-5562-0907)
- Hao Chen (ORCID: https://orcid.org/0000-0003-3074-2235)
- Mingmin Pang
- Ming Lü (ORCID: https://orcid.org/0000-0002-8685-6322)
- Tingyu Meng
- Hao Wang (ORCID: https://orcid.org/0000-0003-4493-3147)
- Miaomiao Fan (ORCID: https://orcid.org/0009-0004-6121-9732)
- Hao Bai
- Yanan Li (ORCID: https://orcid.org/0000-0003-4396-0557)
Institutions
- Shandong University of Traditional Chinese Medicine (CN)
- Qilu Hospital of Shandong University (CN)
Publication Details
- Journal
- Nutrition Journal
- Published
- 2025-08-15
- DOI
- https://doi.org/10.1186/s12937-025-01191-9
- Primary Topic
- Metabolomics and Mass Spectrometry Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- China Postdoctoral Science Foundation
- Natural Science Foundation of Shandong Province