Clinica chimica acta; international journal of clinical chemistry · 2017
Analysis of human serum metabolome for potential biomarkers identification of erosive oral lichen planus.
СтатьяНазвание и аннотация: Перевод пока не подготовлен
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Yang Xu-Yan, Zhang Shuai-Nan, Li Xu-Zhao, Wang Yu, Yin Xiao-Dong
Аннотация
BACKGROUND: Oral lichen planus (OLP) is a chronic auto-inflammatory mucositis and potentially oral premalignant lesion. Erosive OLP patients display the higher canceration rate as compared to the patients with non-erosive OLP. Identification of the potential biomarkers associated with erosive OLP may help to investigate the disease pathogenesis and to improve clinical treatment.
METHODS: Ultra-performance liquid chromatography-quadrupole time-of-flight-mass spectrometry (UPLC-QTOF-MS) combined with pattern recognition approaches were integrated to acquire differentially expressed metabolites for the pathways analysis and elucidate mechanisms of disease.
RESULTS: Totally, 10 modulated metabolites were characterized as the potential biomarkers of erosive OLP, whose dysregulations could affect multiple metabolic pathways and pathological processes in the disease.
CONCLUSION: These findings indicated that the analysis of human serum metabolome might be conducive to the achievement of the objectives of this study.
METHODS: Ultra-performance liquid chromatography-quadrupole time-of-flight-mass spectrometry (UPLC-QTOF-MS) combined with pattern recognition approaches were integrated to acquire differentially expressed metabolites for the pathways analysis and elucidate mechanisms of disease.
RESULTS: Totally, 10 modulated metabolites were characterized as the potential biomarkers of erosive OLP, whose dysregulations could affect multiple metabolic pathways and pathological processes in the disease.
CONCLUSION: These findings indicated that the analysis of human serum metabolome might be conducive to the achievement of the objectives of this study.