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Changes in the salivary metabolome in patients with chronic erosive gastritis
INTRODUCTION: Chronic erosive gastritis (CEG) is closely related to gastric cancer, which requires early diagnosis and intervention. The invasiveness and discomfort of electronic gastroscope have limited its application in the large-scale screening of CEG. Therefore, a simple and noninvasive screeni...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10197399/ https://www.ncbi.nlm.nih.gov/pubmed/37208605 http://dx.doi.org/10.1186/s12876-023-02803-6 |
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author | Liu, Shaowei Zhang, Shixiong Chen, Haoyu Zhou, Pingping Yang, Tianxiao Lv, Jingjing Li, Huixia Wang, Yangang |
author_facet | Liu, Shaowei Zhang, Shixiong Chen, Haoyu Zhou, Pingping Yang, Tianxiao Lv, Jingjing Li, Huixia Wang, Yangang |
author_sort | Liu, Shaowei |
collection | PubMed |
description | INTRODUCTION: Chronic erosive gastritis (CEG) is closely related to gastric cancer, which requires early diagnosis and intervention. The invasiveness and discomfort of electronic gastroscope have limited its application in the large-scale screening of CEG. Therefore, a simple and noninvasive screening method is needed in the clinic. OBJECTIVES: The aim of this study is to screen potential biomarkers that can identify diseases from the saliva samples of CEG patients using metabolomics. METHODS: Saliva samples from 64 CEG patients and 30 healthy volunteers were collected, and metabolomic analysis was performed using UHPLC-Q-TOF/MS in the positive and negative ion modes. Statistical analysis was performed using both univariate (Student’s t-test) and multivariate (orthogonal partial least squares discriminant analysis) tests. Receiver operating characteristic (ROC) analysis was conducted to determine significant predictors in the saliva of CEG patients. RESULTS: By comparing the saliva samples from CEG patients and healthy volunteers, 45 differentially expressed metabolites were identified, of which 37 were up-regulated and 8 were down-regulated. These differential metabolites were related to amino acid, lipid, phenylalanine metabolism, protein digestion and absorption, and mTOR signaling pathway. In the ROC analysis, the AUC values of 7 metabolites were greater than 0.8, among which the AUC values of 1,2-dioleoyl-sn-glycoro-3-phosphodylcholine and 1-stearoyl-2-oleoyl-sn-glycoro-3-phospholine (SOPC) were greater than 0.9. CONCLUSIONS: In summary, a total of 45 metabolites were identified in the saliva of CEG patients. Among them, 1,2-dioleoyl-sn-glycoro-3-phosphorylcholine and 1-stearoyl-2-oleoyl-sn-glycoro-3-phosphorine (SOPC) might have potential clinical application value. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12876-023-02803-6. |
format | Online Article Text |
id | pubmed-10197399 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-101973992023-05-20 Changes in the salivary metabolome in patients with chronic erosive gastritis Liu, Shaowei Zhang, Shixiong Chen, Haoyu Zhou, Pingping Yang, Tianxiao Lv, Jingjing Li, Huixia Wang, Yangang BMC Gastroenterol Research INTRODUCTION: Chronic erosive gastritis (CEG) is closely related to gastric cancer, which requires early diagnosis and intervention. The invasiveness and discomfort of electronic gastroscope have limited its application in the large-scale screening of CEG. Therefore, a simple and noninvasive screening method is needed in the clinic. OBJECTIVES: The aim of this study is to screen potential biomarkers that can identify diseases from the saliva samples of CEG patients using metabolomics. METHODS: Saliva samples from 64 CEG patients and 30 healthy volunteers were collected, and metabolomic analysis was performed using UHPLC-Q-TOF/MS in the positive and negative ion modes. Statistical analysis was performed using both univariate (Student’s t-test) and multivariate (orthogonal partial least squares discriminant analysis) tests. Receiver operating characteristic (ROC) analysis was conducted to determine significant predictors in the saliva of CEG patients. RESULTS: By comparing the saliva samples from CEG patients and healthy volunteers, 45 differentially expressed metabolites were identified, of which 37 were up-regulated and 8 were down-regulated. These differential metabolites were related to amino acid, lipid, phenylalanine metabolism, protein digestion and absorption, and mTOR signaling pathway. In the ROC analysis, the AUC values of 7 metabolites were greater than 0.8, among which the AUC values of 1,2-dioleoyl-sn-glycoro-3-phosphodylcholine and 1-stearoyl-2-oleoyl-sn-glycoro-3-phospholine (SOPC) were greater than 0.9. CONCLUSIONS: In summary, a total of 45 metabolites were identified in the saliva of CEG patients. Among them, 1,2-dioleoyl-sn-glycoro-3-phosphorylcholine and 1-stearoyl-2-oleoyl-sn-glycoro-3-phosphorine (SOPC) might have potential clinical application value. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12876-023-02803-6. BioMed Central 2023-05-19 /pmc/articles/PMC10197399/ /pubmed/37208605 http://dx.doi.org/10.1186/s12876-023-02803-6 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Liu, Shaowei Zhang, Shixiong Chen, Haoyu Zhou, Pingping Yang, Tianxiao Lv, Jingjing Li, Huixia Wang, Yangang Changes in the salivary metabolome in patients with chronic erosive gastritis |
title | Changes in the salivary metabolome in patients with chronic erosive gastritis |
title_full | Changes in the salivary metabolome in patients with chronic erosive gastritis |
title_fullStr | Changes in the salivary metabolome in patients with chronic erosive gastritis |
title_full_unstemmed | Changes in the salivary metabolome in patients with chronic erosive gastritis |
title_short | Changes in the salivary metabolome in patients with chronic erosive gastritis |
title_sort | changes in the salivary metabolome in patients with chronic erosive gastritis |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10197399/ https://www.ncbi.nlm.nih.gov/pubmed/37208605 http://dx.doi.org/10.1186/s12876-023-02803-6 |
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