Identification of Urine Metabolites as Biomarkers of Early Lyme Disease
Abstract
Metabolites detectible in human biofuids are attractive biomarkers for the diagnosis of early Lyme disease (ELD), a vector-borne infectious disease. Urine represents an easily obtained clinical sample that can be applied for diagnostic purposes. However, few studies have explored urine for biomarkers of ELD. In this study, metabolomics approaches were applied to evaluate small molecule metabolites in urine from patients with ELD (n=14), infectious mononucleosis (n=14) and healthy controls (n=14). Metabolic biosignatures for ELD versus healthy controls and ELD versus infectious mononucleosis were generated using untargeted metabolomics. Pathway analyses and metabolite identifcation revealed the dysregulation of several metabolic processes in ELD as compared to healthy controls or mononucleosis, including metabolism of tryptophan. Linear discriminant analyses demonstrated that individual metabolic biosignatures can correctly discriminate ELD from the other patient groups with accuracies of 71 to 100%. These data provide proof-of-concept for use of urine metabolites as biomarkers for diagnostic classifcation of ELD.
- Authors:
-
- Centers for Disease Control and Prevention (CDC), Fort Collins, CO (United States). Division of Vector-Borne Diseases
- Colorado State Univ., Fort Collins, CO (United States). Dept. of Microbiology
- New York Medical College, Valhalla, NY (United States). Dept. of Medicine. Division of Infectious Diseases
- Colorado State Univ., Fort Collins, CO (United States). Colorado State Univ. Health Network
- Publication Date:
- Research Org.:
- Oak Ridge Institute for Science and Education (ORISE), Oak Ridge, TN (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC)
- OSTI Identifier:
- 1624411
- Grant/Contract Number:
- SC0014664
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Scientific Reports
- Additional Journal Information:
- Journal Volume: 8; Journal Issue: 1; Journal ID: ISSN 2045-2322
- Publisher:
- Nature Publishing Group
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 59 BASIC BIOLOGICAL SCIENCES; Science & Technology - Other Topics
Citation Formats
Pegalajar-Jurado, Adoracion, Fitzgerald, Bryna L., Islam, M. Nurul, Belisle, John T., Wormser, Gary P., Waller, Kathlene S., Ashton, Laura V., Webb, Kristofor J., Delorey, Mark J., Clark, Rebecca J., and Molins, Claudia R. Identification of Urine Metabolites as Biomarkers of Early Lyme Disease. United States: N. p., 2018.
Web. doi:10.1038/s41598-018-29713-y.
Pegalajar-Jurado, Adoracion, Fitzgerald, Bryna L., Islam, M. Nurul, Belisle, John T., Wormser, Gary P., Waller, Kathlene S., Ashton, Laura V., Webb, Kristofor J., Delorey, Mark J., Clark, Rebecca J., & Molins, Claudia R. Identification of Urine Metabolites as Biomarkers of Early Lyme Disease. United States. https://doi.org/10.1038/s41598-018-29713-y
Pegalajar-Jurado, Adoracion, Fitzgerald, Bryna L., Islam, M. Nurul, Belisle, John T., Wormser, Gary P., Waller, Kathlene S., Ashton, Laura V., Webb, Kristofor J., Delorey, Mark J., Clark, Rebecca J., and Molins, Claudia R. Wed .
"Identification of Urine Metabolites as Biomarkers of Early Lyme Disease". United States. https://doi.org/10.1038/s41598-018-29713-y. https://www.osti.gov/servlets/purl/1624411.
@article{osti_1624411,
title = {Identification of Urine Metabolites as Biomarkers of Early Lyme Disease},
author = {Pegalajar-Jurado, Adoracion and Fitzgerald, Bryna L. and Islam, M. Nurul and Belisle, John T. and Wormser, Gary P. and Waller, Kathlene S. and Ashton, Laura V. and Webb, Kristofor J. and Delorey, Mark J. and Clark, Rebecca J. and Molins, Claudia R.},
abstractNote = {Metabolites detectible in human biofuids are attractive biomarkers for the diagnosis of early Lyme disease (ELD), a vector-borne infectious disease. Urine represents an easily obtained clinical sample that can be applied for diagnostic purposes. However, few studies have explored urine for biomarkers of ELD. In this study, metabolomics approaches were applied to evaluate small molecule metabolites in urine from patients with ELD (n=14), infectious mononucleosis (n=14) and healthy controls (n=14). Metabolic biosignatures for ELD versus healthy controls and ELD versus infectious mononucleosis were generated using untargeted metabolomics. Pathway analyses and metabolite identifcation revealed the dysregulation of several metabolic processes in ELD as compared to healthy controls or mononucleosis, including metabolism of tryptophan. Linear discriminant analyses demonstrated that individual metabolic biosignatures can correctly discriminate ELD from the other patient groups with accuracies of 71 to 100%. These data provide proof-of-concept for use of urine metabolites as biomarkers for diagnostic classifcation of ELD.},
doi = {10.1038/s41598-018-29713-y},
journal = {Scientific Reports},
number = 1,
volume = 8,
place = {United States},
year = {Wed Aug 15 00:00:00 EDT 2018},
month = {Wed Aug 15 00:00:00 EDT 2018}
}
Figures / Tables:
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