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      Remodeling of the gastric environment in Helicobacter pylori-induced atrophic gastritis

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          ABSTRACT

          Helicobacter pylori colonization of the human stomach is a strong risk factor for gastric cancer. To investigate H. pylori-induced gastric molecular alterations, we used a Mongolian gerbil model of gastric carcinogenesis. Histologic evaluation revealed varying levels of atrophic gastritis (a premalignant condition characterized by parietal and chief cell loss) in H. pylori-infected animals, and transcriptional profiling revealed a loss of markers for these cell types. We then assessed the spatial distribution and relative abundance of proteins in the gastric tissues using imaging mass spectrometry and liquid chromatography with tandem mass spectrometry. We detected striking differences in the protein content of corpus and antrum tissues. Four hundred ninety-two proteins were preferentially localized to the corpus in uninfected animals. The abundance of 91 of these proteins was reduced in H. pylori-infected corpus tissues exhibiting atrophic gastritis compared with infected corpus tissues exhibiting non-atrophic gastritis or uninfected corpus tissues; these included numerous proteins with metabolic functions. Fifty proteins localized to the corpus in uninfected animals were diffusely delocalized throughout the stomach in infected tissues with atrophic gastritis; these included numerous proteins with roles in protein processing. The corresponding alterations were not detected in animals infected with a H. pyloricagT mutant (lacking Cag type IV secretion system activity). These results indicate that H. pylori can cause loss of proteins normally localized to the gastric corpus as well as diffuse delocalization of corpus-specific proteins, resulting in marked changes in the normal gastric molecular partitioning into distinct corpus and antrum regions.

          IMPORTANCE

          A normal stomach is organized into distinct regions known as the corpus and antrum, which have different functions, cell types, and gland architectures. Previous studies have primarily used histologic methods to differentiate these regions and detect H. pylori-induced alterations leading to stomach cancer. In this study, we investigated H. pylori-induced gastric molecular alterations in a Mongolian gerbil model of carcinogenesis. We report the detection of numerous proteins that are preferentially localized to the gastric corpus but not the antrum in a normal stomach. We show that stomachs with H. pylori-induced atrophic gastritis (a precancerous condition characterized by the loss of specialized cell types) exhibit marked changes in the abundance and localization of proteins normally localized to the gastric corpus. These results provide new insights into H. pylori-induced gastric molecular alterations that are associated with the development of stomach cancer.

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          Most cited references99

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          Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries

          This article provides an update on the global cancer burden using the GLOBOCAN 2020 estimates of cancer incidence and mortality produced by the International Agency for Research on Cancer. Worldwide, an estimated 19.3 million new cancer cases (18.1 million excluding nonmelanoma skin cancer) and almost 10.0 million cancer deaths (9.9 million excluding nonmelanoma skin cancer) occurred in 2020. Female breast cancer has surpassed lung cancer as the most commonly diagnosed cancer, with an estimated 2.3 million new cases (11.7%), followed by lung (11.4%), colorectal (10.0 %), prostate (7.3%), and stomach (5.6%) cancers. Lung cancer remained the leading cause of cancer death, with an estimated 1.8 million deaths (18%), followed by colorectal (9.4%), liver (8.3%), stomach (7.7%), and female breast (6.9%) cancers. Overall incidence was from 2-fold to 3-fold higher in transitioned versus transitioning countries for both sexes, whereas mortality varied <2-fold for men and little for women. Death rates for female breast and cervical cancers, however, were considerably higher in transitioning versus transitioned countries (15.0 vs 12.8 per 100,000 and 12.4 vs 5.2 per 100,000, respectively). The global cancer burden is expected to be 28.4 million cases in 2040, a 47% rise from 2020, with a larger increase in transitioning (64% to 95%) versus transitioned (32% to 56%) countries due to demographic changes, although this may be further exacerbated by increasing risk factors associated with globalization and a growing economy. Efforts to build a sustainable infrastructure for the dissemination of cancer prevention measures and provision of cancer care in transitioning countries is critical for global cancer control.
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            KEGG: kyoto encyclopedia of genes and genomes.

            M Kanehisa (2000)
            KEGG (Kyoto Encyclopedia of Genes and Genomes) is a knowledge base for systematic analysis of gene functions, linking genomic information with higher order functional information. The genomic information is stored in the GENES database, which is a collection of gene catalogs for all the completely sequenced genomes and some partial genomes with up-to-date annotation of gene functions. The higher order functional information is stored in the PATHWAY database, which contains graphical representations of cellular processes, such as metabolism, membrane transport, signal transduction and cell cycle. The PATHWAY database is supplemented by a set of ortholog group tables for the information about conserved subpathways (pathway motifs), which are often encoded by positionally coupled genes on the chromosome and which are especially useful in predicting gene functions. A third database in KEGG is LIGAND for the information about chemical compounds, enzyme molecules and enzymatic reactions. KEGG provides Java graphics tools for browsing genome maps, comparing two genome maps and manipulating expression maps, as well as computational tools for sequence comparison, graph comparison and path computation. The KEGG databases are daily updated and made freely available (http://www. genome.ad.jp/kegg/).
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              Toward understanding the origin and evolution of cellular organisms

              In this era of high‐throughput biology, bioinformatics has become a major discipline for making sense out of large‐scale datasets. Bioinformatics is usually considered as a practical field developing databases and software tools for supporting other fields, rather than a fundamental scientific discipline for uncovering principles of biology. The KEGG resource that we have been developing is a reference knowledge base for biological interpretation of genome sequences and other high‐throughput data. It is now one of the most utilized biological databases because of its practical values. For me personally, KEGG is a step toward understanding the origin and evolution of cellular organisms.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                mSystems
                mSystems
                msystems
                mSystems
                American Society for Microbiology (1752 N St., N.W., Washington, DC )
                2379-5077
                January 2024
                07 December 2023
                07 December 2023
                : 9
                : 1
                : e01098-23
                Affiliations
                [1 ]Department of Pathology, Microbiology and Immunology, Vanderbilt University Medical Center; , Nashville, Tennessee, USA
                [2 ]Department of Medicine, Vanderbilt University School of Medicine; , Nashville, Tennessee, USA
                [3 ]Mass Spectrometry Research Center, Vanderbilt University School of Medicine; , Nashville, Tennessee, USA
                [4 ]Department of Biochemistry, Vanderbilt University School of Medicine; , Nashville, Tennessee, USA
                [5 ]Vanderbilt Institute for Infection, Immunology, and Inflammation, Vanderbilt University Medical Center; , Nashville, Tennessee, USA
                [6 ]Veterans Affairs Tennessee Valley Healthcare System; , Nashville, Tennessee, USA
                Argonne National Laboratory; , Lemont, Illinois, USA
                Author notes
                Address correspondence to Timothy L. Cover, timothy.l.cover@ 123456vumc.org

                The authors declare no conflict of interest.

                Author information
                https://orcid.org/0000-0003-3106-0703
                https://orcid.org/0000-0002-9857-4883
                https://orcid.org/0000-0001-8503-002X
                Article
                01098-23 msystems.01098-23
                10.1128/msystems.01098-23
                10805037
                38059647
                c897e1c6-fc85-4f37-b076-c8abb75d2318
                Copyright © 2023 Shuman et al.

                This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license.

                History
                : 14 October 2023
                : 16 October 2023
                Page count
                supplementary-material: 10, authors: 12, Figures: 8, Tables: 1, References: 99, Pages: 22, Words: 11905
                Funding
                Funded by: HHS | National Institutes of Health (NIH);
                Award ID: AI118932, CA116087, AI039657
                Award Recipient :
                Funded by: HHS | National Institutes of Health (NIH);
                Award ID: T32 AI007281
                Award Recipient :
                Funded by: U.S. Department of Veterans Affairs (VA);
                Award ID: BX004447
                Award Recipient :
                Funded by: U.S. Department of Veterans Affairs (VA);
                Award ID: BX000915
                Award Recipient :
                Funded by: HHS | National Institutes of Health (NIH);
                Award ID: T32 GM008320
                Award Recipient :
                Funded by: HHS | National Institutes of Health (NIH);
                Award ID: T32 AI138932
                Award Recipient :
                Categories
                Research Article
                host-microbial-interactions, Host-Microbial Interactions
                Custom metadata
                January 2024

                helicobacter pylori,gastric cancer,inflammation,biomarkers,premalignant,proteomics

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