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Combined Plasma and Urinary Metabolomics Uncover Metabolic Perturbations Associated with Severe Respiratory Syncytial Viral Infection and Future Development of Asthma in Infant Patients

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Department of Biochemistry and Molecular Biology, Michigan State University, East Lansing, MI 48824, USA
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Department of Pediatrics and Human Development, College of Human Medicine, Michigan State University, Grand Rapids, MI 49503, USA
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Pediatric Intensive Care Unit, Helen DeVos Children’s Hospital, Grand Rapids, MI 49503, USA
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Department of Food Science and Human Nutrition, Michigan State University, East Lansing, MI 48824, USA
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Department of Chemical Engineering and Materials Science, Michigan State University, East Lansing, MI 48824, USA
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Office of Research, Spectrum Health, Grand Rapids, MI 49503, USA
*
Authors to whom correspondence should be addressed.
Academic Editor: Bo Chawes
Metabolites 2022, 12(2), 178; https://doi.org/10.3390/metabo12020178
Received: 15 December 2021 / Revised: 21 January 2022 / Accepted: 11 February 2022 / Published: 14 February 2022
(This article belongs to the Section Endocrinology and Clinical Metabolic Research)
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. View Full-Text
Keywords: respiratory syncytial virus; pediatrics; bronchiolitis; asthma; metabolomics; liquid chromatography-mass spectrometry; partial least squares regression; critical care respiratory syncytial virus; pediatrics; bronchiolitis; asthma; metabolomics; liquid chromatography-mass spectrometry; partial least squares regression; critical care
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MDPI and ACS Style

Teoh, S.T.; Leimanis-Laurens, M.L.; Comstock, S.S.; Winters, J.W.; Vandenbosch, N.L.; Prokop, J.W.; Bachmann, A.S.; Lunt, S.Y.; Rajasekaran, S. Combined Plasma and Urinary Metabolomics Uncover Metabolic Perturbations Associated with Severe Respiratory Syncytial Viral Infection and Future Development of Asthma in Infant Patients. Metabolites 2022, 12, 178. https://doi.org/10.3390/metabo12020178

AMA Style

Teoh ST, Leimanis-Laurens ML, Comstock SS, Winters JW, Vandenbosch NL, Prokop JW, Bachmann AS, Lunt SY, Rajasekaran S. Combined Plasma and Urinary Metabolomics Uncover Metabolic Perturbations Associated with Severe Respiratory Syncytial Viral Infection and Future Development of Asthma in Infant Patients. Metabolites. 2022; 12(2):178. https://doi.org/10.3390/metabo12020178

Chicago/Turabian Style

Teoh, Shao Thing, Mara L. Leimanis-Laurens, Sarah S. Comstock, John W. Winters, Nikita L. Vandenbosch, Jeremy W. Prokop, André S. Bachmann, Sophia Y. Lunt, and Surender Rajasekaran. 2022. "Combined Plasma and Urinary Metabolomics Uncover Metabolic Perturbations Associated with Severe Respiratory Syncytial Viral Infection and Future Development of Asthma in Infant Patients" Metabolites 12, no. 2: 178. https://doi.org/10.3390/metabo12020178

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