<p>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.</p>

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Metabolomic and clinical feature analyses of plasma from influenza A patients

  • Yaping Li,
  • Ting Li,
  • Min Liu,
  • XinYu Wang,
  • Song Zhai,
  • Ruihong Qin,
  • Chenrui Liu,
  • Yuanyi Chen,
  • Meng Zhang,
  • Xiaoli Jia

摘要

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.