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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...

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Autores principales: Liu, Shaowei, Zhang, Shixiong, Chen, Haoyu, Zhou, Pingping, Yang, Tianxiao, Lv, Jingjing, Li, Huixia, Wang, Yangang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
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.
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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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