Dataset Information

NMR-based metabonomics and correlative analysis reveals potential bomarkers associated with chronic atrophic gastritis

ABSTRACT: Chronic atrophic gastritis (CAG) is one of the most important pre-cancerous states with a high prevalence. Exploring of the underlying mechanism and potential biomarkers is of significant importance for CAG. In the present work, 1H NMR-based metabonomics with correlative analysis was performed to analyze the metabolic features of CAG. 19 plasma metabolites and 18 urine metabolites were enrolled to construct the circulatory and excretory metabolome of CAG, which was in response to alterations of energy metabolism, inflammation, immune dysfunction, as well as oxidative stress. 7 plasma biomarkers and 7 urine biomarkers were screened to elucidate the pathogenesis of CAG based on the further correlation analysis with biochemical indexes. Finally, 3 plasma biomarkers (arginine, succinate and 3-hydroxybutyrate) and 2 urine biomarkers (a-ketoglutarate and valine) highlighted the potential to indicate risks of CAG in virtue of correlation with pepsin activity and ROC analysis. Here, our results paved a way for elucidating the underlying mechanisms in the development of CAG, and provided new avenues for the diagnosis of CAG and presented potential drug targets for treatment of CAG.

INSTRUMENT(S): Bruker

PROVIDER: MTBLS340 | MetaboLights | 2016-08-31

REPOSITORIES: MetaboLights

ACCESS DATA

Dataset's files

Source:

Items per page:

1 - 5 of 34

Publications

NMR-based metabonomics and correlation analysis reveal potential biomarkers associated with chronic atrophic gastritis.

Cui Jiajia J Liu Yuetao Y Hu Yinghuan Y Tong Jiayu J Li Aiping A Qu Tingli T Qin Xuemei X Du Guanhua G

Journal of pharmaceutical and biomedical analysis 20160928

Chronic atrophic gastritis (CAG) is one of the most important pre-cancerous states with a high prevalence. Exploring of the underlying mechanism and potential biomarkers is of significant importance for CAG. In the present work, <sup>1</sup>H NMR-based metabonomics with correlative analysis was performed to analyze the metabolic features of CAG. 19 plasma metabolites and 18 urine metabolites were enrolled to construct the circulatory and excretory metabolome of CAG, which was in response to alte ...[more]

PMID: 27697573

Similar Datasets

Project description:Helicobacter pylori is a well-recognized bacterium associated with the development of several histopathological lesions in the stomach. The chronic infection produces an inflammatory lesion known as gastritis. This lesion can later progress to more serious lesions such as intestinal metaplasia. Some attempts in the transcriptome of these conditions have been made; these however, have yielded limited information. Given the potential of high-throughput technologies for understanding biological processes altered and in the description of biomarkers of disease, we performed a genome-wide gene expression analysis in gastric biopsies. The aim of this study was to describe the altered molecular mechanism and potential biomarkers of follicular gastritis, chronic gastritis and intestinal metaplasia, through the identification of characteristic gene expression profiles in each histopathological lesion. The exploratory set comprised twenty-one biopsies from patients with follicular gastritis (n=7), chronic gastritis (n=7), and intestinal metaplasia (n=7), which were analyzed by whole-genome gene expression microarrays. The enrichment analyses and functional annotation of genes using computational tools were performed. The bioinformatics data of the same 21 biopsies were validated by real time PCR analysis while 79 FFPE samples were analyzed by immunohistochemistry. Gene expression analyses showed profiles for each histopathological lesion. Follicular gastritis had an expression profile with marked enrichment of immunologically-related genes. In contrast, chronic gastritis was characterized by a deregulation of mitochondrial-related genes and a down regulation of genes associated with protection against oxidative stress. Meanwhile, intestinal metaplasia showed an over expression of gastrointestinal stem cell markers and molecules related to RNA metabolism. Our results provide a comprehensive and reliable gene expression analysis of follicular gastritis, chronic gastritis and intestinal metaplasia disorders. The gene expression patterns described established a clear difference between the three pathologies studied and allowed the identification of several potential biomarkers for each histological change.

			Action	DRS
	C-P-1.zip	Other
	C-P-2.zip	Other
	C-P-3.zip	Other
	C-P-4.zip	Other
	C-P-5.zip	Other