Urinary metabolomic signatures in reticular oral lichen planus

Xu-Yan Yang,Xu-Zhao Li,Shuai-Nan Zhang

doi:10.1016/j.heliyon.2020.e04041

Xu-Yan Yang, Xu-Zhao Li + Show 1 more

Open Access

https://doi.org/10.1016/j.heliyon.2020.e04041

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Abstract

Oral lichen planus (OLP) is a chronic inflammatory disease. Among all the clinical forms in OLP, reticular type has the highest incidence rate. Previous studies have applied metabolomics to investigate the metabolic changes of oral mucosa and blood samples from reticular OLP patients. Urinary metabolomic signatures is also useful in analyzing the pathological changes of the patients, which was a complement to the previous studies. Through these researches, we may have a more comprehensive understanding of the disease. Metabolic profiles of urinary samples from OLP patients and control subjects were analyzed by liquid chromatography (LC)-mass spectrometry (MS) system. Differentially expressed metabolites were identified via OSI/SMMS software for the pathology analysis. Totally, 30 differentially expressed metabolites were identified. Pathological network showed that these metabolites participated in 8 pathological processes, that is, DNA damage and repair disorder, apoptosis process, inflammatory lesion, oxidative stress injury, carbohydrate metabolism disorder, mood dysfunction, abnormal energy expenditure, and other pathological process. These findings demonstrated that the analysis of human urine metabolome might be conducive to the achievement of the objectives of this study.

Highlights

Oral lichen planus (OLP) is a chronic inflammatory disease [1, 2, 3]
All ions were normalized to the total peak area of each sample to get a minimum relative standard deviation (RSD). 93.22 % of ions (2638) in positive ion mode and 98.29 % (3500) in negative ion mode displayed less than 30 % of RSD, which showed the good reproducibility of the metabolomics method and were used for the further data processing
Clustering of the Quality control (QC) samples was investigated by Principle component analysis (PCA) to reveal the platform stability

Summary

Introduction

Oral lichen planus (OLP) is a chronic inflammatory disease [1, 2, 3]. In addition to the local damage to the oral mucosa [4], the disease may be associated with the pathological changes in other parts of the body [1, 2]. Women are the main affected population of the disease, whose incidence rate is more than twice as men in the age range between 30 and 60 years [5]. OLP is classified into 6 clinical forms (reticular, erosive, papular, plaque-like, atrophic, and bullous). Reticular type has the highest incidence rate, researches on which may benefit more patients

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