scholarly journals The Abnormal Metabolites in Tongue Coating of Chronic Gastritis Patients Reflect the Changes in Indexes of Gastroscopic Observation and Gastric Mucosal Pathology

2021 ◽  
Author(s):  
Yifeng Xu ◽  
Renling Zhang ◽  
Junhong Lu ◽  
Zhujing Zhu ◽  
Yiqin Wang ◽  
...  
Keyword(s):  
Intestinal Metaplasia ◽  
Chronic Gastritis ◽  
Azelaic Acid ◽  
Precancerous Lesion ◽  
Healthy People ◽  
Nervonic Acid ◽  
Diagnostic Model ◽  
Tongue Coating ◽  
Pathological Stages ◽  
Tetracosanoic Acid

Abstract ObjectiveIn this study, we analyzed the correlation between different metabolites in the tongue coating of patients with chronic gastritis, gastroscopy and pathological indexes, and discussed the metabolic mechanism at different pathological stages in the development of chronic gastritis.MethodsWe used GC-TOF-MS and UHPLC-QE-MS metabonomics to detect the distribution of metabolites in the tongue coating of patients with chronic gastritis, and analyzed the correlation between different metabolites in the tongue coating of patients with chronic gastritis and gastroscopy and pathological indexes.ResultsCompared with 50 healthy people, 54 metabolites were upregulated and 47 metabolites were downregulated in 350 patients with chronic gastritis. The main differential metabolites were Lipids and lipid-like molecules, which contain 47 metabolites. The best diagnostic model was composed of 5 metabolites, with an accuracy of 95.4%, a specificity of 87.4% and a sensitivity of 88.0%. These 5 metabolites were 1-methyladenosine, Sphinganine 1-phosphate, 3-Hydroxycapric acid, 4-Ipomeanol, and Nervonic acid. Compared with healthy people, Sphinganine 1-phosphate, 4-Ipomeanol, and Nervonic acid were significantly upregulated in chronic gastritis patients, and 1-methyladenosine and 3-Hydroxycapric acid were significantly downregulated in chronic gastritis patients. After correlation analysis between differential metabolites in tongue coatings and gastroscopic indexes, we found that Trimethylaminoacetone, Sphinganine1-phosphate, alpha-Carboxy-delta-decalactone, and 5,6-Dihydroxyindole were positively correlated with intestinal metaplasia. Conduritol-beta-expoxide, Tetracosanoic acid, Lactosylceramide(d18:1/26:0), Chondrillasterol 3-[glucosyl-(1->4)-glucoside], Azelaic acid, and 1-Methyladenosine were negatively correlated with intestinal metaplasia. Sphinganine1-phosphate, alpha-Carboxy-delta-decalactone, and 5,6-Dihydroxyindole were positively correlated with atrophic. Octadecanol, conduritol-beta-expoxide, Tetracosanoic acid, Smilanippin A, Lactosylceramide(d18:1/26:0), Chondrillasterol 3-[glucosyl-(1->4)-glucoside], and Azelaic acid were negatively correlated with atrophic. 6-deoxyglucitol was negatively correlated with bile reflux, methylmaleic acid, 4-methylcatechol, and 2,4-dichloro-1-(2-chloroethenyl)-benzene were negatively correlated with Hp, 3-benzoyloxy-11-oxo-12-ursen-28-oic acid was negatively correlated with gastric mucosal erosion. From the change trend of different metabolites in different pathological stages, we found that the content of conduritol-beta-expoxide decreased significantly in mild atrophic compared with moderate atrophic and the content of conduritol-beta-expoxide decreased significantly in mild intestinal metaplasia compared with moderate intestinal metaplasia.ConclusionsWe found that Lipids and lipid-like molecules were the main abnormal metabolites in patients with chronic gastritis. Among them, Sphinganine 1-phosphate, which was significantly positively correlated with the aggravation of atrophic and intestinal metaplasia, could be used as one of the diagnostic model markers for chronic gastritis. Additionally, the amount of conduritol-beta-expoxide significantly decreased with the aggravation of atrophic and intestinal metaplasia. We believe that these differential markers in tongue coating may help us to establish a noninvasive and convenient auxiliary detection method for gastritis and gastric precancerous lesion in the future.

scholarly journals Metabolite Characteristics in Tongue Coating from Damp Phlegm Pattern in Patients with Gastric Precancerous Lesion

2021 ◽  
Vol 2021 ◽  
pp. 1-16
Author(s):  
Yifeng Xu ◽  
Renling Zhang ◽  
Robert Morris ◽  
Feng Cheng ◽  
Yiqin Wang ◽  
...  
Keyword(s):  
Metabolic Pathways ◽  
Precancerous Lesion ◽  
Metabolite Profile ◽  
Healthy People ◽  
Metabolic Change ◽  
Tongue Coating ◽  
Abnormal Expression ◽  
Synthesis Stage ◽  
Tof Ms

Objective. In this study, we analyzed the metabolite profile of the tongue coating of patients having gastric precancerous lesion (GPL) with damp phlegm pattern and proposed a mechanism of pathological transition. Methods. The changes in tongue-coating metabolites in patients with GPL damp phlegm pattern were analyzed using GC-TOF-MS and UHPLC-QE-MS metabolomics methods. Results. When compared with 20 patients who did not exhibit a nondamp phlegm pattern, 12 metabolites were highly expressed and 10 metabolites were under expressed in 40 cases of damp phlegm pattern, of which involved 9 metabolic pathways. Compared with 15 healthy people, 134 metabolites were upregulated and 3 metabolites were downregulated in 40 cases exhibiting a damp phlegm pattern, of which involved 17 metabolic pathways. The patients with damp phlegm pattern were compared with nondamp phlegm pattern patients and healthy people, the main differential metabolites were primarily lipids and lipid-like molecules, and the main differential metabolic pathways were related to glycerophospholipid metabolism. In the glycerophospholipid metabolism, the metabolites with changes were phosphatidylethanolamine and lysoPC(18 : 1 (9z)). Among them, phosphatidylethanolamine exists in the synthesis stage of glycerophospholipid metabolism.Conclusions. Abnormal expression of lipids and lipid-like molecules, as the major metabolic change, was involved in the formation of GPL patients with damp phlegm pattern.

NTESTINAL METAPLASIA AND HELICOBACTER PYLORI INFECTION IN PATIENTS WITH CHRONIC GASTRITIS.

2011 ◽  
pp. 63-71
Author(s):  
Keyword(s):  
Gastric Cancer ◽  
Helicobacter Pylori ◽  
Atrophic Gastritis ◽  
Intestinal Metaplasia ◽  
Chronic Gastritis ◽  
Significant Relationship ◽  
Precancerous Lesion ◽  
Chronic Atrophic Gastritis ◽  
Helicobacter Pylori Infection ◽  
Antral Gastritis

Background: Intestinal metaplasia is a precancerous lesion. Helicobacter pylori is identified as an important cause of gastric cancer. This study is aimed at assessing the intestinal metaplasia and Helicobacter pylori infection and their relation in patients with chronic gastritis. Patients and methods: Study includes 75 patients with chronic gastritis diagnosed by clinical, endoscopic and histopathological criteria. Intestinal metaplasia is diagnosed by HE stain. Hp infection is tested by CLO-test from Viet A Ltd. Results: Hp infecton rate in this study is 66.67% and is highest in patients with antral gastritis. Intestinal metaplasia is found in 29.33% of patients with chronic gastritis with the predominance of complete intestinal metaplasia. The rate of intestinal metaplasia is the highest in the group with chronic atrophic gastritis. There is a significant relationship between intestinal metaplasia and Hp ìnfection. Conclusion: Hp and intestinal metaplasia are found at significant rates in chronic gastritis. The rate of intestinal metaplasia is clearly higher in the group with Hp-positive chronic gastritis.

scholarly journals HDAC6/FOXP3/HNF4α Axis Promotes Bile Acids Induced Gastric Intestinal Metaplasia

2021 ◽  
Author(s):  
Na Wang ◽  
Siran Wu ◽  
Luyao Zhang ◽  
Min Chen ◽  
Jiaoxia Zeng ◽  
...  
Keyword(s):  
Transgenic Mice ◽  
Intestinal Metaplasia ◽  
Bile Acids ◽  
Epigenetic Modification ◽  
Bile Reflux ◽  
Precancerous Lesion ◽  
Ectopic Expression ◽  
Histone Deacetylation ◽  
Luciferase Reporter ◽  
Luciferase Reporter Gene

Abstract Background: Gastric intestinal metaplasia (IM) is an important precancerous lesion. Our previous study has shown that ectopic expression of HDAC6 promotes the activation of intestinal markers in bile acids (BA) induced gastric IM cells; however, the mechanism underlying how HDAC6-mediated epigenetic modifications regulate intestinal markers is not clear.Methods: RNA-sequencing (RNA-seq) was used to detect the molecular changes in GES-1 cells after HDAC6 overexpression. The potential binding sites of FOXP3 with the promoter region of HNF4α were verified by ChIP and luciferase reporter gene assays. The ChIP assay was also used to detect the histone deacetylation. The levels of mucin in gastric or intestinal mucosa were detected by AB-PAS staining. Transgenic mice were used to explore the pro-metaplastic function of DCA and HNF4α in vivo.Results: Deoxycholic acid (DCA) upregulated HDAC6 in gastric cells, which further inhibited the transcription of FOXP3. Then, FOXP3 transcriptionally inhibited HNF4α, which further inhibits the expression of downstream intestinal markers. These molecules have been shown to be clinically relevant, as FOXP3 levels were negatively correlated with HDAC6 and HNF4α in IM tissues. Transgenic mice experiments confirmed that HNF4α overexpression combined with DCA induced gastric mucosa to secrete intestinal mucus and caused an abnormal mucosal structure. Conclusions: Our findings suggest that HDAC6 reduces FOXP3 through epigenetic modification, thus forming HDAC6/FOXP3/HNF4α axis to promote gastric IM. Inhibition of HDAC6 may be a potential approach to prevent gastric IM in patients with bile reflux.

scholarly journals Expression of Runx3 and Ki67 in chronic gastritis with intestinal metaplasia and gastric carcinoma and their correlations

2008 ◽  
Vol 16 (33) ◽  
pp. 3801
Author(s):  
Zhen Peng ◽  
Zhi-Guo Zhao ◽  
Zhan-Ju Liu ◽  
Ming-Guo Suo ◽  
Fu-Ai Tang
Keyword(s):  
Gastric Carcinoma ◽  
Intestinal Metaplasia ◽  
Chronic Gastritis

scholarly journals Study on the Diagnosis of Gastric Cancer by Magnetic Beads Extraction and Mass Spectrometry

2020 ◽  
Vol 2020 ◽  
pp. 1-8
Author(s):  
Ning Zhu ◽  
Xiaoliang Xing ◽  
Limei Cao ◽  
Yingjun Zhang ◽  
Ti Zhang ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Molecular Weight ◽  
Advanced Gastric Cancer ◽  
Magnetic Beads ◽  
Healthy People ◽  
Diagnostic Model ◽  
Diagnostic Efficiency ◽  
Efficacy Evaluation ◽  
Diagnostic Reliability ◽  
Serum Peptide

Objective. This study constructed a model for the early diagnosis of gastric cancer by comparing the serum peptides profiles of patients with advanced gastric cancer and healthy people. And that model may be the potential to be applied for the efficacy evaluation and recurrence monitoring in gastric cancer. Methods. Serums of 30 healthy people and 30 advanced gastric cancer patients were matched by age and gender were collected. The serum peptide spectrum was obtained by MB-WCX concentration and MALDI-TOF MS analysis. Based on the analysis of the efficiency of differential peptides in the diagnosis of gastric cancer, we first established a model for the diagnosis of gastric cancer based on differential peptides and then carried out external verification. The diagnostic reliability of this model was further tested by compared with carcinoembryonic antigen (CEA) and carbohydrate antigen 19-9 (CA19-9). Results. In this present study, we found the expression of two peptide peaks with a molecular weight of 2863 Da and 2953 Da were significantly increased in gastric cancer serum, while the expression of two peptide peaks with a molecular weight of 1945 Da and 2082 Da were significantly decreased. Depending on the characteristics of peptide expression, we constructed a diagnostic model, we compared the sensitivity and specificity of the model established by 2953 Da/1945 Da, and found this model is significantly higher than CEA and CA19-9. Conclusion. There were some differences in serum peptides profiles between patients with advanced gastric cancer and healthy people. The serum peptide diagnostic models based on 2953 Da and 1945 Da have high diagnostic efficiency for advanced gastric cancer. Our result indicated that this model was well worth further validation for clinical diagnosis.

scholarly journals Deep Learning Based Syndrome Diagnosis of Chronic Gastritis

2014 ◽  
Vol 2014 ◽  
pp. 1-8 ◽  
Author(s):  
Guo-Ping Liu ◽  
Jian-Jun Yan ◽  
Yi-Qin Wang ◽  
Wu Zheng ◽  
Tao Zhong ◽  
...  
Keyword(s):  
Deep Learning ◽  
Clinical Practice ◽  
Chronic Gastritis ◽  
Diagnostic Model ◽  
Nonlinear Relationship ◽  
Cognitive Perspective ◽  
Multilabel Learning ◽  
Diagnostic Models ◽  
Syndrome Diagnosis ◽  
The Brain

In Traditional Chinese Medicine (TCM), most of the algorithms used to solve problems of syndrome diagnosis are superficial structure algorithms and not considering the cognitive perspective from the brain. However, in clinical practice, there is complex and nonlinear relationship between symptoms (signs) and syndrome. So we employed deep leaning and multilabel learning to construct the syndrome diagnostic model for chronic gastritis (CG) in TCM. The results showed that deep learning could improve the accuracy of syndrome recognition. Moreover, the studies will provide a reference for constructing syndrome diagnostic models and guide clinical practice.

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