Metabolomics and Transcriptomics Analysis on Metabolic Characteristics of Oral Lichen Planus

Xin, Mingzhe; Shi, Yingying; Chun-shen, LI; Zuo, Li; Li, Na; Liu, Liwei; Ma, He-Xin; Du, Qianming; Xue, Peng; Sun, Zhi; Zhao, Hongyu

doi:10.3389/fonc.2021.769163

Cited by 7 publications

(3 citation statements)

References 33 publications

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“…Most of the differentially expressed metabolites identified in the serum sample were subgrouped as lipids and lipid-like molecules ( Yang et al, 2017 ). Another study showed that the content of glutamic acid decreased in the OLP patients, leading to OLP ( Xin et al, 2021 ).…”

Section: Discussionmentioning

confidence: 99%

Microbiome landscape of lesions and adjacent normal mucosal areas in oral lichen planus patient

et al. 2022

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The pathogenesis of oral lichen planus (OLP) remains unclear, and microbial dysbiosis has been proposed to play a role in the pathogenesis of OLP. Oral mucosal swabs from 77 OLP patients and 76 healthy subjects were collected. The bacterial community among the OLP lesion, the adjacent normal mucosal, and the oral mucosal surface in healthy people were analyzed by 16S sequencing. The factor of gender and age that may affect the flora distribution of OLP patients were explored. Results indicate no significant difference in microbiota between OLP and the adjacent group. Compared with the healthy group, Neisseria, Haemophilus, Fusobacterium, Porphyromonas, Rothia, Actinomyces, and Capnocytophaga significantly increased in the OLP group. Actinomyces increased in male OLP patients, and the other six bacteria increased in female OLP patients. In female OLP patients, Lautropia and Dialister were positively correlated with age. While in male OLP patients, Moraxella, Porphyromonas, and Fusobacterium were positively correlated with age. Functional enrichment analysis suggested that abnormal energy metabolism related to ATP synthases, abnormal transport and metabolism of glycans, amino acids, and vitamins, and disorders of the local immune microenvironment might exist in OLP lesion.

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Section: Discussionmentioning

confidence: 99%

Microbiome landscape of lesions and adjacent normal mucosal areas in oral lichen planus patient

et al. 2022

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“…Second, there are neurotransmitter modulation factors, and studies have shown that schizophrenia is usually associated with neurotransmitter disorders, especially dopamine and acetylcholine ( 56 , 57 ). Whereas the development of LP is similarly associated with neurotransmitter disorders, we hypothesized that neurotransmitter abnormalities in patients with schizophrenia might reduce the risk of developing LP ( 58 ). In summary, mental factors have a close relationship with the occurrence and development of LP, and stress, emotional disorders, and personality traits play an important role in the pathogenesis of LP.…”

Section: Discussionmentioning

confidence: 99%

Correlations between schizophrenia and lichen planus: a two-sample bidirectional Mendelian randomization study

Chen,

Fu,

et al. 2023

Front. Psychiatry

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BackgroundSeveral existing studies have shown a correlation between schizophrenia and lichen planus (LP). However, the causality of this relationship remains uncertain. Thus, this study aimed to examine the causal association between schizophrenia and LP.MethodsA two-sample Mendelian randomization (MR) study was carried out to investigate whether schizophrenia is causally related to LP and vice versa, and genetic variants in this study were taken from previous genome-wide association studies. We used the inverse variance weighted (IVW) method as the main analysis. Furthermore, several sensitivity analyses were performed to assess heterogeneity, horizontal pleiotropy, and stability.ResultsOur results show that schizophrenia has a protective effect on LP (OR = 0.881, 95%CI = 0.795–0.975, p = 0.015). Conversely, we observed no significant relationship between LP and schizophrenia in reverse MR analysis (OR = 0.934, 95%CI = 0.851–1.026, p = 0.156).ConclusionOur two-sample Mendelian randomization study supports a significant causal relationship between LP and schizophrenia and finds that schizophrenia can reduce the incidence of LP. This is in contrast to previous findings and provides new insights into the relationship between LP and schizophrenia, but the exact mechanism needs further investigation.

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“…Results indicated that quercetin interfered with T helper cells (TH1/TH2) through the protein expression levels of cytokines (IL-6 and IFN-γ) to modulate immune response in OLP. Other recent studies have relied on bioinformatics-based approaches to gain biological insights contributing to understanding the molecular mechanism of LP [17][18][19][20].…”

Section: Introductionmentioning

confidence: 99%

GENEvaRX: A Novel AI-Driven Method and Web Tool Can Identify Critical Genes and Effective Drugs for Lichen Planus

Turki

Taguchi

2023

Preprint

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Lichen planus (LP) is an autoimmune disorder diagnosed based on physical symptoms and lab tests. Examples of symptoms include flat bumps, and itchy and purplish skin, while lab tests include a shave biopsy of the lesion. When the pathology report shows consistency with LP and is negative for potential triggers for an allergy test and hepatitis C, a dermatologist typically prescribes corticosteroid in the form of pills or injection into the lesion to treat the symptoms. To understand the molecular mechanism of the disease and thereby overcome issues associated with disease treatment, there is a need to identify potential effective drugs, drug targets, and therapeutic targets associated the LP. Hence, we propose a novel computational framework based on new constrained optimization to support vector machines coupled with enrichment analysis. First, we downloaded three gene expression datasets (GSE63741, GSE193351, GSE52130) pertaining to healthy and LP patients from the gene expression omnibus (GEO) database. We then processed each dataset and entered it into our computational framework to select important genes. Finally, we performed enrichment analysis of selected genes, reporting the following results. Our methods outperformed baseline methods in terms of identifying disease and skin tissue. Moreover, we report 5 drugs (including, dexamethasone, retinoic acid, and quercetin), 45 unique genes (including PSMB8, KRT31, KRT16, KRT19, KRT17, COL3A1, LCE2D, LCE2A), and 23 unique TFs (including NFKB1, STAT1, STAT3) reportedly related to LP pathogenesis, treatments, and therapeutic targets. Our methods are publicly available in the GENEvaRX web server at https://aibio.shinyapps.io/GENEvaRX/.

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Metabolomics and Transcriptomics Analysis on Metabolic Characteristics of Oral Lichen Planus

Cited by 7 publications

References 33 publications

Microbiome landscape of lesions and adjacent normal mucosal areas in oral lichen planus patient

Microbiome landscape of lesions and adjacent normal mucosal areas in oral lichen planus patient

Correlations between schizophrenia and lichen planus: a two-sample bidirectional Mendelian randomization study

GENEvaRX: A Novel AI-Driven Method and Web Tool Can Identify Critical Genes and Effective Drugs for Lichen Planus

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