Combined Plasma and Urinary Metabolomics Uncover Metabolic Perturbations Associated with Severe Respiratory Syncytial Viral Infection and Future Development of Asthma in Infant Patients.
Shao Thing TeohMara L Leimanis-LaurensSarah S ComstockJohn W WintersNikita L VandenboschJeremy W ProkopAndré S BachmannSophia Y LuntSurender RajasekaranPublished in: Metabolites (2022)
A large percentage of infants develop viral bronchiolitis needing medical intervention and often develop further airway disease such as asthma. To characterize metabolic perturbations in acute respiratory syncytial viral (RSV) bronchiolitis, we compared metabolomic profiles of moderate and severe RSV patients versus sedation controls. RSV patients were classified as moderate or severe based on the need for invasive mechanical ventilation. Whole blood and urine samples were collected at two time points (baseline and 72 h). Plasma and urinary metabolites were extracted in cold methanol and analyzed by liquid chromatography coupled with tandem mass spectrometry (LC-MS/MS), and data from the two biofluids were combined for multivariate data analysis. Metabolite profiles were clustered according to severity, characterized by unique metabolic changes in both plasma and urine. Plasma metabolites that correlated with severity included intermediates in the sialic acid biosynthesis, while urinary metabolites included citrate as well as multiple nucleotides. Furthermore, metabolomic profiles were predictive of future development of asthma, with urinary metabolites exhibiting higher predictive power than plasma. These metabolites may offer unique insights into the pathology of RSV bronchiolitis and may be useful in identifying patients at risk for developing asthma.
Keyphrases
- end stage renal disease
- newly diagnosed
- ejection fraction
- chronic kidney disease
- mechanical ventilation
- peritoneal dialysis
- chronic obstructive pulmonary disease
- ms ms
- prognostic factors
- data analysis
- respiratory syncytial virus
- tandem mass spectrometry
- randomized controlled trial
- healthcare
- lung function
- sars cov
- early onset
- mass spectrometry
- patient reported outcomes
- air pollution
- acute respiratory distress syndrome
- high resolution
- drug induced
- simultaneous determination
- respiratory failure
- electronic health record
- deep learning
- ultra high performance liquid chromatography