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Title: 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:
 [1];  [1];  [2];  [2];  [3];  [4];  [1];  [2];  [1];  [1];  [1]
  1. Centers for Disease Control and Prevention (CDC), Fort Collins, CO (United States). Division of Vector-Borne Diseases
  2. Colorado State Univ., Fort Collins, CO (United States). Dept. of Microbiology
  3. New York Medical College, Valhalla, NY (United States). Dept. of Medicine. Division of Infectious Diseases
  4. 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}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record

Figures / Tables:

Figure 1 Figure 1: Level 1 identification and abundance confirmation of creatinine. Structural identification of creatinine (a,b) and creatinine levels (c). Structural identification was achieved by RT alignment (a) of authentic standard (top panel), the targeted metabolite in pooled urine (middle panel) and authentic standard spiked in pooled patient urine (bottom panel);more » and by comparison of MS/MS spectra (b) of the authentic standard (top panel) and the targeted metabolite in patient urine (bottom panel). Log2 LC-MS median abundances in HC, ELD and MONO are shown for creatinine as triangles (c). Creatinine concentration measured by the alkaline picrate assay are also shown in (c) as squares. HC are shown in blue, ELD in green and MONO in orange. For both measurement types, the mean and standard deviation from the mean are shown.« less

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