Cargando…
Potential serum biomarkers and metabonomic profiling of serum in ischemic stroke patients using UPLC/Q-TOF MS/MS
BACKGROUND: Stroke still has a high incidence with a tremendous public health burden and it is a leading cause of mortality and disability. However, biomarkers for early diagnosis are absent and the metabolic alterations associated with ischemic stroke are not clearly understood. The objectives of t...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5724857/ https://www.ncbi.nlm.nih.gov/pubmed/29228037 http://dx.doi.org/10.1371/journal.pone.0189009 |
_version_ | 1783285429114503168 |
---|---|
author | Sun, Hongxue Zhao, Jiaying Zhong, Di Li, Guozhong |
author_facet | Sun, Hongxue Zhao, Jiaying Zhong, Di Li, Guozhong |
author_sort | Sun, Hongxue |
collection | PubMed |
description | BACKGROUND: Stroke still has a high incidence with a tremendous public health burden and it is a leading cause of mortality and disability. However, biomarkers for early diagnosis are absent and the metabolic alterations associated with ischemic stroke are not clearly understood. The objectives of this case-control study are to identify serum biomarkers and explore the metabolic alterations of ischemic stroke. METHODS: Metabonomic analysis was performed using ultra-performance liquid chromatography quadrupole time-of-flight tandem mass spectrometry and multivariate statistical analysis was employed to study 60 patients with or without ischemic stroke (30 cases and 30 controls). RESULTS: Serum metabolic profiling identified a series of 12 metabolites with significant alterations, and the related metabolic pathways involved glycerophospholipid, sphingolipid, phospholipid, fat acid, acylcarnitine, heme, and purine metabolism. Subsequently, multiple logistic regression analyses of these metabolites showed uric acid, sphinganine and adrenoyl ethanolamide were potential biomarkers of ischemic stroke with an area under the receiver operating characteristic curve of 0.941. CONCLUSIONS: These findings provide insights into the early diagnosis and potential pathophysiology of ischemic stroke. |
format | Online Article Text |
id | pubmed-5724857 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-57248572017-12-15 Potential serum biomarkers and metabonomic profiling of serum in ischemic stroke patients using UPLC/Q-TOF MS/MS Sun, Hongxue Zhao, Jiaying Zhong, Di Li, Guozhong PLoS One Research Article BACKGROUND: Stroke still has a high incidence with a tremendous public health burden and it is a leading cause of mortality and disability. However, biomarkers for early diagnosis are absent and the metabolic alterations associated with ischemic stroke are not clearly understood. The objectives of this case-control study are to identify serum biomarkers and explore the metabolic alterations of ischemic stroke. METHODS: Metabonomic analysis was performed using ultra-performance liquid chromatography quadrupole time-of-flight tandem mass spectrometry and multivariate statistical analysis was employed to study 60 patients with or without ischemic stroke (30 cases and 30 controls). RESULTS: Serum metabolic profiling identified a series of 12 metabolites with significant alterations, and the related metabolic pathways involved glycerophospholipid, sphingolipid, phospholipid, fat acid, acylcarnitine, heme, and purine metabolism. Subsequently, multiple logistic regression analyses of these metabolites showed uric acid, sphinganine and adrenoyl ethanolamide were potential biomarkers of ischemic stroke with an area under the receiver operating characteristic curve of 0.941. CONCLUSIONS: These findings provide insights into the early diagnosis and potential pathophysiology of ischemic stroke. Public Library of Science 2017-12-11 /pmc/articles/PMC5724857/ /pubmed/29228037 http://dx.doi.org/10.1371/journal.pone.0189009 Text en © 2017 Sun et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Sun, Hongxue Zhao, Jiaying Zhong, Di Li, Guozhong Potential serum biomarkers and metabonomic profiling of serum in ischemic stroke patients using UPLC/Q-TOF MS/MS |
title | Potential serum biomarkers and metabonomic profiling of serum in ischemic stroke patients using UPLC/Q-TOF MS/MS |
title_full | Potential serum biomarkers and metabonomic profiling of serum in ischemic stroke patients using UPLC/Q-TOF MS/MS |
title_fullStr | Potential serum biomarkers and metabonomic profiling of serum in ischemic stroke patients using UPLC/Q-TOF MS/MS |
title_full_unstemmed | Potential serum biomarkers and metabonomic profiling of serum in ischemic stroke patients using UPLC/Q-TOF MS/MS |
title_short | Potential serum biomarkers and metabonomic profiling of serum in ischemic stroke patients using UPLC/Q-TOF MS/MS |
title_sort | potential serum biomarkers and metabonomic profiling of serum in ischemic stroke patients using uplc/q-tof ms/ms |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5724857/ https://www.ncbi.nlm.nih.gov/pubmed/29228037 http://dx.doi.org/10.1371/journal.pone.0189009 |
work_keys_str_mv | AT sunhongxue potentialserumbiomarkersandmetabonomicprofilingofseruminischemicstrokepatientsusinguplcqtofmsms AT zhaojiaying potentialserumbiomarkersandmetabonomicprofilingofseruminischemicstrokepatientsusinguplcqtofmsms AT zhongdi potentialserumbiomarkersandmetabonomicprofilingofseruminischemicstrokepatientsusinguplcqtofmsms AT liguozhong potentialserumbiomarkersandmetabonomicprofilingofseruminischemicstrokepatientsusinguplcqtofmsms |