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Predicting the Activity of Oral Lichen Planus with Glycolysis-related Molecules: A Scikit-learn-based Function

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收录情况: ◇ SCIE ◇ 卓越:梯队期刊

单位: [1]Department of Stomatology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China [2]School of Stomatology, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
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关键词: oral lichen planus glycolysis lactic acid linear regression machine learning

摘要:
Oral lichen planus (OLP) is one of the most common oral mucosa diseases, and is mainly mediated by T lymphocytes. The metabolic reprogramming of activated T cells has been shown to transform from oxidative phosphorylation to aerobic glycolysis. The present study investigated the serum levels of glycolysis-related molecules (lactate dehydrogenase, LDH; pyruvic acid, PA; lactic acid, LAC) in OLP, and the correlation with OLP activity was assessed using the reticular, atrophic and erosive lesion (RAE) scoring system.Univariate and multivariate linear regression functions based on scikit-learn were designed to predict the RAE scores in OLP patients, and the performance of these two machine learning functions was compared.The results revealed that the serum levels of PA and LAC were upregulated in erosive OLP (EOLP) patients, when compared to healthy volunteers. Furthermore, the LDH and LAC levels were significantly higher in the EOLP group than in the nonerosive OLP (NEOLP) group. All glycolysis-related molecules were positively correlated to the RAE scores. Among these, LAC had a strong correlation. The univariate function that involved the LAC level and the multivariate function that involved all glycolysis-related molecules presented comparable prediction accuracy and stability, but the latter was more time-consuming.It can be concluded that the serum LAC level can be a user-friendly biomarker to monitor the OLP activity, based on the univariate function developed in the present study. The intervention of the glycolytic pathway may provide a potential therapeutic strategy.© 2023. Huazhong University of Science and Technology.

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出版当年[2022]版:
大类 | 3 区 医学
小类 | 4 区 医学:研究与实验
最新[2025]版:
大类 | 4 区 医学
小类 | 4 区 医学:研究与实验
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出版当年[2021]版:
Q4 MEDICINE, RESEARCH & EXPERIMENTAL
最新[2023]版:
Q3 MEDICINE, RESEARCH & EXPERIMENTAL

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第一作者单位: [1]Department of Stomatology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China [2]School of Stomatology, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
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通讯机构: [1]Department of Stomatology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China [2]School of Stomatology, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
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