Urinary metabolomic signatures as indicators of injury severity following traumatic brain injury: A pilot study
Background: Analysis of fluid metabolites has the potential to provide insight into the neuropathophysiology of injury in patients with traumatic brain injury (TBI). Objective: Using a 1H nuclear magnetic resonance (NMR)-based quantitative metabolic profiling approach, this study determined (1) if u...
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Elsevier
2021
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oai:doaj.org-article:b7505d2e8e064827bd94284b9ff9d0872021-11-06T04:43:14ZUrinary metabolomic signatures as indicators of injury severity following traumatic brain injury: A pilot study2667-242110.1016/j.ibneur.2021.10.003https://doaj.org/article/b7505d2e8e064827bd94284b9ff9d0872021-12-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2667242121000452https://doaj.org/toc/2667-2421Background: Analysis of fluid metabolites has the potential to provide insight into the neuropathophysiology of injury in patients with traumatic brain injury (TBI). Objective: Using a 1H nuclear magnetic resonance (NMR)-based quantitative metabolic profiling approach, this study determined (1) if urinary metabolites change during recovery in patients with mild to severe TBI; (2) whether changes in urinary metabolites correlate to injury severity; (3) whether biological pathway analysis reflects mechanisms that mediate neural damage/repair throughout TBI recovery. Methods: Urine samples were collected within 7 days and at 6-months post-injury in male participants (n = 8) with mild-severe TBI. Samples were analyzed with NMR-based quantitative spectroscopy for metabolomic profiles and analyzed with multivariate statistical and machine learning-based analyses. Results: Lower levels of homovanillate (R = −0.74, p ≤ 0.001), L-methionine (R = −0.78, p < 0.001), and thymine (R = −0.85, p < 0.001) negatively correlated to injury severity. Pathway analysis revealed purine metabolism to be a primary pathway (p < 0.01) impacted by TBI. Conclusion: This study provides pilot data to support the use of urinary metabolites in clinical practice to better interpret biochemical changes underlying TBI severity and recovery. The discovery of urinary metabolites as biomarkers may assist in objective and rapid identification of TBI severity and prognosis. Thus, 1H NMR metabolomics has the potential to facilitate the adaptation of treatment programs that are personalized to the patient’s needs.Elani A. BykowskiJamie N. PeterssonSean DukelowChester HoChantel T. DebertTony MontinaGerlinde A.S. MetzElsevierarticleTraumatic brain injuryConcussionMetabolomicsMetabolic biomarkersNMR spectroscopyRehabilitationNeurosciences. Biological psychiatry. NeuropsychiatryRC321-571ENIBRO Neuroscience Reports, Vol 11, Iss , Pp 200-206 (2021) |
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Traumatic brain injury Concussion Metabolomics Metabolic biomarkers NMR spectroscopy Rehabilitation Neurosciences. Biological psychiatry. Neuropsychiatry RC321-571 |
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Traumatic brain injury Concussion Metabolomics Metabolic biomarkers NMR spectroscopy Rehabilitation Neurosciences. Biological psychiatry. Neuropsychiatry RC321-571 Elani A. Bykowski Jamie N. Petersson Sean Dukelow Chester Ho Chantel T. Debert Tony Montina Gerlinde A.S. Metz Urinary metabolomic signatures as indicators of injury severity following traumatic brain injury: A pilot study |
description |
Background: Analysis of fluid metabolites has the potential to provide insight into the neuropathophysiology of injury in patients with traumatic brain injury (TBI). Objective: Using a 1H nuclear magnetic resonance (NMR)-based quantitative metabolic profiling approach, this study determined (1) if urinary metabolites change during recovery in patients with mild to severe TBI; (2) whether changes in urinary metabolites correlate to injury severity; (3) whether biological pathway analysis reflects mechanisms that mediate neural damage/repair throughout TBI recovery. Methods: Urine samples were collected within 7 days and at 6-months post-injury in male participants (n = 8) with mild-severe TBI. Samples were analyzed with NMR-based quantitative spectroscopy for metabolomic profiles and analyzed with multivariate statistical and machine learning-based analyses. Results: Lower levels of homovanillate (R = −0.74, p ≤ 0.001), L-methionine (R = −0.78, p < 0.001), and thymine (R = −0.85, p < 0.001) negatively correlated to injury severity. Pathway analysis revealed purine metabolism to be a primary pathway (p < 0.01) impacted by TBI. Conclusion: This study provides pilot data to support the use of urinary metabolites in clinical practice to better interpret biochemical changes underlying TBI severity and recovery. The discovery of urinary metabolites as biomarkers may assist in objective and rapid identification of TBI severity and prognosis. Thus, 1H NMR metabolomics has the potential to facilitate the adaptation of treatment programs that are personalized to the patient’s needs. |
format |
article |
author |
Elani A. Bykowski Jamie N. Petersson Sean Dukelow Chester Ho Chantel T. Debert Tony Montina Gerlinde A.S. Metz |
author_facet |
Elani A. Bykowski Jamie N. Petersson Sean Dukelow Chester Ho Chantel T. Debert Tony Montina Gerlinde A.S. Metz |
author_sort |
Elani A. Bykowski |
title |
Urinary metabolomic signatures as indicators of injury severity following traumatic brain injury: A pilot study |
title_short |
Urinary metabolomic signatures as indicators of injury severity following traumatic brain injury: A pilot study |
title_full |
Urinary metabolomic signatures as indicators of injury severity following traumatic brain injury: A pilot study |
title_fullStr |
Urinary metabolomic signatures as indicators of injury severity following traumatic brain injury: A pilot study |
title_full_unstemmed |
Urinary metabolomic signatures as indicators of injury severity following traumatic brain injury: A pilot study |
title_sort |
urinary metabolomic signatures as indicators of injury severity following traumatic brain injury: a pilot study |
publisher |
Elsevier |
publishDate |
2021 |
url |
https://doaj.org/article/b7505d2e8e064827bd94284b9ff9d087 |
work_keys_str_mv |
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