Metabolomics and Transcriptomics Analysis on Metabolic Characteristics of Oral Lichen Planus
ObjectiveTo explore metabolic biomarkers related to erosive and reticulated oral lichen planus (OLP) by non-targeted metabolomics methods and correlate metabolites with gene expression, and to investigate the pathological network pathways of OLP from the perspective of metabolism.MethodsA total of 1...
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| Format: | Article |
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Frontiers Media S.A.
2021-10-01
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| Series: | Frontiers in Oncology |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fonc.2021.769163/full |
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| author | Ming-zhe Xin Ming-zhe Xin Ying-ying Shi Ying-ying Shi Chun-shen Li Chun-shen Li Li-hua Zuo Li-hua Zuo Na Li Li-wei Liu Li-wei Liu He-xin Ma He-xin Ma Qiu-zheng Du Qiu-zheng Du Peng Xue Zhi Sun Zhi Sun Hong-yu Zhao Hong-yu Zhao |
| author_facet | Ming-zhe Xin Ming-zhe Xin Ying-ying Shi Ying-ying Shi Chun-shen Li Chun-shen Li Li-hua Zuo Li-hua Zuo Na Li Li-wei Liu Li-wei Liu He-xin Ma He-xin Ma Qiu-zheng Du Qiu-zheng Du Peng Xue Zhi Sun Zhi Sun Hong-yu Zhao Hong-yu Zhao |
| author_sort | Ming-zhe Xin |
| collection | DOAJ |
| description | ObjectiveTo explore metabolic biomarkers related to erosive and reticulated oral lichen planus (OLP) by non-targeted metabolomics methods and correlate metabolites with gene expression, and to investigate the pathological network pathways of OLP from the perspective of metabolism.MethodsA total of 153 individuals were enrolled in this study, including 50 patients with erosive oral lichen planus (EOLP), 51 patients with reticulated oral lichen planus (ROLP), and 52 healthy controls (HC). The ultra-high-performance liquid chromatography quadrupole-Orbitrap high-resolution accurate mass spectrometry (UHPLC/Q-Orbitrap HRMS) was used to analyze the metabolites of 40 EOLP, 40 ROLP, and 40 HC samples, and the differential metabolic biomarkers were screened and identified. The regulatory genes were further screened through the shared metabolites between EOLP and ROLP, and cross-correlated with the OLP-related differential genes in the network database. A “gene-metabolite” network was constructed after finding the key differential genes. Finally, the diagnostic efficiency of the biomarkers was verified in the validation set and a diagnostic model was constructed.ResultCompared with HC group, a total of 19 and 25 differential metabolites were identified in the EOLP group and the ROLP group, respectively. A total of 14 different metabolites were identified between EOLP and ROLP. Two diagnostic models were constructed based on these differential metabolites. There are 14 differential metabolites shared by EOLP and ROLP. The transcriptomics data showed 756 differentially expressed genes, and the final crossover network showed that 19 differential genes were associated with 12 metabolites. Enrichment analysis showed that alanine, aspartate and glutamate metabolism were closely associated with the pathogenesis of OLP.ConclusionThe metabolic change of different types of OLP were clarified. The potential gene perturbation of OLP was provided. This study provided a strong support for further exploration of the pathogenic mechanism of OLP. |
| first_indexed | 2024-12-19T17:33:22Z |
| format | Article |
| id | doaj.art-4f088e1525ee404f9a43964d44bceb74 |
| institution | Directory Open Access Journal |
| issn | 2234-943X |
| language | English |
| last_indexed | 2024-12-19T17:33:22Z |
| publishDate | 2021-10-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Oncology |
| spelling | doaj.art-4f088e1525ee404f9a43964d44bceb742022-12-21T20:12:23ZengFrontiers Media S.A.Frontiers in Oncology2234-943X2021-10-011110.3389/fonc.2021.769163769163Metabolomics and Transcriptomics Analysis on Metabolic Characteristics of Oral Lichen PlanusMing-zhe Xin0Ming-zhe Xin1Ying-ying Shi2Ying-ying Shi3Chun-shen Li4Chun-shen Li5Li-hua Zuo6Li-hua Zuo7Na Li8Li-wei Liu9Li-wei Liu10He-xin Ma11He-xin Ma12Qiu-zheng Du13Qiu-zheng Du14Peng Xue15Zhi Sun16Zhi Sun17Hong-yu Zhao18Hong-yu Zhao19Department of Oral Emergency, The First Affiliated Hospital of Zhengzhou University· Stomatological Hospital of Henan Province, Zhengzhou, ChinaSchool and Hospital of Stomatology of Zhengzhou University, Zhengzhou, ChinaDepartment of Pharmacy, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, ChinaHenan Engineering Research Center of Clinical Mass Spectrometry for Precision Medicine, Zhengzhou, ChinaDepartment of Oral Emergency, The First Affiliated Hospital of Zhengzhou University· Stomatological Hospital of Henan Province, Zhengzhou, ChinaSchool and Hospital of Stomatology of Zhengzhou University, Zhengzhou, ChinaDepartment of Pharmacy, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, ChinaHenan Engineering Research Center of Clinical Mass Spectrometry for Precision Medicine, Zhengzhou, ChinaDepartment of Prosthodontics, The First Affiliated Hospital of Zhengzhou University· Stomatological Hospital of Henan Province, Zhengzhou, ChinaDepartment of Pharmacy, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, ChinaHenan Engineering Research Center of Clinical Mass Spectrometry for Precision Medicine, Zhengzhou, ChinaDepartment of Oral Emergency, The First Affiliated Hospital of Zhengzhou University· Stomatological Hospital of Henan Province, Zhengzhou, ChinaSchool and Hospital of Stomatology of Zhengzhou University, Zhengzhou, ChinaDepartment of Pharmacy, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, ChinaHenan Engineering Research Center of Clinical Mass Spectrometry for Precision Medicine, Zhengzhou, ChinaHealth Management Center, The First Affiliated Hospital of Zhengzhou University· Stomatological Hospital of Henan Province, Zhengzhou, ChinaDepartment of Pharmacy, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, ChinaHenan Engineering Research Center of Clinical Mass Spectrometry for Precision Medicine, Zhengzhou, ChinaDepartment of Oral Emergency, The First Affiliated Hospital of Zhengzhou University· Stomatological Hospital of Henan Province, Zhengzhou, ChinaSchool and Hospital of Stomatology of Zhengzhou University, Zhengzhou, ChinaObjectiveTo explore metabolic biomarkers related to erosive and reticulated oral lichen planus (OLP) by non-targeted metabolomics methods and correlate metabolites with gene expression, and to investigate the pathological network pathways of OLP from the perspective of metabolism.MethodsA total of 153 individuals were enrolled in this study, including 50 patients with erosive oral lichen planus (EOLP), 51 patients with reticulated oral lichen planus (ROLP), and 52 healthy controls (HC). The ultra-high-performance liquid chromatography quadrupole-Orbitrap high-resolution accurate mass spectrometry (UHPLC/Q-Orbitrap HRMS) was used to analyze the metabolites of 40 EOLP, 40 ROLP, and 40 HC samples, and the differential metabolic biomarkers were screened and identified. The regulatory genes were further screened through the shared metabolites between EOLP and ROLP, and cross-correlated with the OLP-related differential genes in the network database. A “gene-metabolite” network was constructed after finding the key differential genes. Finally, the diagnostic efficiency of the biomarkers was verified in the validation set and a diagnostic model was constructed.ResultCompared with HC group, a total of 19 and 25 differential metabolites were identified in the EOLP group and the ROLP group, respectively. A total of 14 different metabolites were identified between EOLP and ROLP. Two diagnostic models were constructed based on these differential metabolites. There are 14 differential metabolites shared by EOLP and ROLP. The transcriptomics data showed 756 differentially expressed genes, and the final crossover network showed that 19 differential genes were associated with 12 metabolites. Enrichment analysis showed that alanine, aspartate and glutamate metabolism were closely associated with the pathogenesis of OLP.ConclusionThe metabolic change of different types of OLP were clarified. The potential gene perturbation of OLP was provided. This study provided a strong support for further exploration of the pathogenic mechanism of OLP.https://www.frontiersin.org/articles/10.3389/fonc.2021.769163/fulloral lichen planusbiomarkersmetabolomicstranscriptomicspathogenesis |
| spellingShingle | Ming-zhe Xin Ming-zhe Xin Ying-ying Shi Ying-ying Shi Chun-shen Li Chun-shen Li Li-hua Zuo Li-hua Zuo Na Li Li-wei Liu Li-wei Liu He-xin Ma He-xin Ma Qiu-zheng Du Qiu-zheng Du Peng Xue Zhi Sun Zhi Sun Hong-yu Zhao Hong-yu Zhao Metabolomics and Transcriptomics Analysis on Metabolic Characteristics of Oral Lichen Planus Frontiers in Oncology oral lichen planus biomarkers metabolomics transcriptomics pathogenesis |
| title | Metabolomics and Transcriptomics Analysis on Metabolic Characteristics of Oral Lichen Planus |
| title_full | Metabolomics and Transcriptomics Analysis on Metabolic Characteristics of Oral Lichen Planus |
| title_fullStr | Metabolomics and Transcriptomics Analysis on Metabolic Characteristics of Oral Lichen Planus |
| title_full_unstemmed | Metabolomics and Transcriptomics Analysis on Metabolic Characteristics of Oral Lichen Planus |
| title_short | Metabolomics and Transcriptomics Analysis on Metabolic Characteristics of Oral Lichen Planus |
| title_sort | metabolomics and transcriptomics analysis on metabolic characteristics of oral lichen planus |
| topic | oral lichen planus biomarkers metabolomics transcriptomics pathogenesis |
| url | https://www.frontiersin.org/articles/10.3389/fonc.2021.769163/full |
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