Metabolomic and clinical feature analyses of plasma from influenza A patients

Plasma metabolomics offers valuable insights for identifying viral infection biomarkers with applications in early diagnosis, outcome prediction, and treatment monitoring. This study aimed to investigate metabolomic alterations in influenza A patients and identify potential biomarkers for disease severity. From March 2023 to March 2024, 339 influenza A patients were enrolled. After age‒sex matching, 54 patients and 20 healthy controls were selected for analysis. Untargeted metabolomic profiling of 74 plasma samples was conducted using ultrahigh-performance liquid chromatography coupled with tandem mass spectrometry. Comparative analysis revealed 60 differentially expressed metabolites between H1N1 patients and healthy controls, with 41 significantly upregulated and 19 downregulated. Pathway enrichment analysis revealed prominent disruptions in glycerophospholipid metabolism, with several metabolites showing alterations across the severity spectrum. Amino acid metabolism, particularly propionate metabolism, glycine-serine-threonine metabolism, and branched-chain amino acid biosynthesis, was also notably disturbed. Critical exhibited marked disturbances in taurine-hypotaurine metabolism compared to milder. This study identified glycerophospholipid metabolism dysregulation as a potential biomarker for influenza severity stratification. The progressive alteration of taurine pathway metabolites in critical suggests their pivotal role in severe H1N1 pathogenesis, highlighting their dual potential as diagnostic biomarkers and therapeutic targets.

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Publication Details

Journal
Scientific Reports
Published
2025-11-28
DOI
https://doi.org/10.1038/s41598-025-26805-4
Citations
1
Primary Topic
Metabolomics and Mass Spectrometry Studies
Type
article
Field-Weighted Citation Impact
0.81

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article

Metabolomic and clinical feature analyses of plasma from influenza A patients

Chenrui Liu, Min Liu, Xiaoli Jia, Song Zhai et al.
1 citations
Scientific Reports
Metabolomics and Mass Spectrometry Studies
0.81
article

Metabolomic and clinical feature analyses of plasma from influenza A patients

Chenrui Liu, Min Liu, Xiaoli Jia, Song Zhai, Xinyu Wang, Ting Li, Meng Zhang, Yaping Li, Yuanyi Chen, Ruihong Qin
article en
1 citations

Abstract

Plasma metabolomics offers valuable insights for identifying viral infection biomarkers with applications in early diagnosis, outcome prediction, and treatment monitoring. This study aimed to investigate metabolomic alterations in influenza A patients and identify potential biomarkers for disease severity. From March 2023 to March 2024, 339 influenza A patients were enrolled. After age‒sex matching, 54 patients and 20 healthy controls were selected for analysis. Untargeted metabolomic profiling of 74 plasma samples was conducted using ultrahigh-performance liquid chromatography coupled with tandem mass spectrometry. Comparative analysis revealed 60 differentially expressed metabolites between H1N1 patients and healthy controls, with 41 significantly upregulated and 19 downregulated. Pathway enrichment analysis revealed prominent disruptions in glycerophospholipid metabolism, with several metabolites showing alterations across the severity spectrum. Amino acid metabolism, particularly propionate metabolism, glycine-serine-threonine metabolism, and branched-chain amino acid biosynthesis, was also notably disturbed. Critical exhibited marked disturbances in taurine-hypotaurine metabolism compared to milder. This study identified glycerophospholipid metabolism dysregulation as a potential biomarker for influenza severity stratification. The progressive alteration of taurine pathway metabolites in critical suggests their pivotal role in severe H1N1 pathogenesis, highlighting their dual potential as diagnostic biomarkers and therapeutic targets.

Scientific ReportsVol. 15(1)
Second Affiliated Hospital of Xi'an Jiaotong University (CN), Jingning County People's Hospital (CN)
Natural Science Basic Research Program of Shaanxi Province
Openalex Percentile: Top 21%
Metabolomics and Mass Spectrometry Studies
0.81
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