P-621. Metabolomic and Clinical Feature Analyses of Plasma from Influenza A Patients
Yaping Li, Ting Li, Min Liu, Xinyu Wang, Song Zhai, Ruihong Qin, Yuanyi Chen, Chenrui Liu, Meng Zhang, Xiaoli Jia

TL;DR
This study identifies key metabolic changes in plasma from influenza A patients, which could help predict disease severity and improve diagnosis and treatment.
Contribution
The study reveals glycerophospholipid and taurine metabolism as potential biomarkers for influenza severity.
Findings
60 differentially expressed metabolites were found in H1N1 patients compared to healthy controls.
Glycerophospholipid metabolism was significantly disrupted across influenza severity levels.
Taurine-hypotaurine metabolism showed marked disturbances in critical cases.
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 laboratory-confirmed influenza A patients (301 mild, 24 severe, and 14 critical cases) were enrolled from the fever clinic of the Second Affiliated Hospital of Xi’an Jiaotong University. After age‒sex matching, 54 patients (20 mild, 20 severe, and 14 critical cases) 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 (UHPLC-MS/MS) with a Q Exactive™ Hybrid Quadrupole-Orbitrap mass spectrometer.…
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Taxonomy
TopicsMetabolomics and Mass Spectrometry Studies · Influenza Virus Research Studies · Polyamine Metabolism and Applications
