Untargeted metabolomic profiling for identifying systemic signatures of helicobacter pylori infection in a guinea pig model
Abstract Infections caused by the Gram-negative bacterium Helicobacter pylori (H. pylori) can lead to gastritis, gastric or duodenal ulcers, and even gastric cancer in humans. Investigating quantitative changes in soluble biomarkers associated with H. pylori infection offers a promising method for m...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2025-04-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-025-98016-w |
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| author | Weronika Gonciarz Lucyna Kozlowska Joanna Róg Magdalena Chmiela |
| author_facet | Weronika Gonciarz Lucyna Kozlowska Joanna Róg Magdalena Chmiela |
| author_sort | Weronika Gonciarz |
| collection | DOAJ |
| description | Abstract Infections caused by the Gram-negative bacterium Helicobacter pylori (H. pylori) can lead to gastritis, gastric or duodenal ulcers, and even gastric cancer in humans. Investigating quantitative changes in soluble biomarkers associated with H. pylori infection offers a promising method for monitoring the progression of the infection, inflammatory response and potentially systemic consequences. This study aimed to identify, using an experimental model of H. pylori infection in guinea pigs, the specific metabolomic biomarkers in the serum of H. pylori-infected (32) versus uninfected (32) animals. The H. pylori status was confirmed through histological, molecular, and serological examinations. Metabolomic profiling was conducted using UPLC-QTOF/MS methods. The metabolomic biomarkers significantly associated with H. pylori infection were selected based on volcano plots and traditional univariate receiver operating characteristics (ROC). This study identified 12 unique metabolites significantly differentiating H. pylori-infected guinea pigs from uninfected ones. In summary, the metabolomic profiling of serum samples, in combination with ROC characteristics of the data, enhances the monitoring of H. pylori infection and related inflammatory responses in guinea pigs experimentally infected with these bacteria, with potential applications in humans for prediction the infection course and its systemic effects. |
| format | Article |
| id | doaj-art-ef5a4856efef4d36a8a0336cc04a9249 |
| institution | OA Journals |
| issn | 2045-2322 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj-art-ef5a4856efef4d36a8a0336cc04a92492025-08-20T02:24:29ZengNature PortfolioScientific Reports2045-23222025-04-0115111310.1038/s41598-025-98016-wUntargeted metabolomic profiling for identifying systemic signatures of helicobacter pylori infection in a guinea pig modelWeronika Gonciarz0Lucyna Kozlowska1Joanna Róg2Magdalena Chmiela3Department of Immunology and Infectious Biology, Faculty of Biology and Environmental Protection, University of LodzLaboratory of Human Metabolism Research, Department of Dietetics, Institute of Human Nutrition Sciences, Warsaw University of Life SciencesLaboratory of Human Metabolism Research, Department of Dietetics, Institute of Human Nutrition Sciences, Warsaw University of Life SciencesDepartment of Immunology and Infectious Biology, Faculty of Biology and Environmental Protection, University of LodzAbstract Infections caused by the Gram-negative bacterium Helicobacter pylori (H. pylori) can lead to gastritis, gastric or duodenal ulcers, and even gastric cancer in humans. Investigating quantitative changes in soluble biomarkers associated with H. pylori infection offers a promising method for monitoring the progression of the infection, inflammatory response and potentially systemic consequences. This study aimed to identify, using an experimental model of H. pylori infection in guinea pigs, the specific metabolomic biomarkers in the serum of H. pylori-infected (32) versus uninfected (32) animals. The H. pylori status was confirmed through histological, molecular, and serological examinations. Metabolomic profiling was conducted using UPLC-QTOF/MS methods. The metabolomic biomarkers significantly associated with H. pylori infection were selected based on volcano plots and traditional univariate receiver operating characteristics (ROC). This study identified 12 unique metabolites significantly differentiating H. pylori-infected guinea pigs from uninfected ones. In summary, the metabolomic profiling of serum samples, in combination with ROC characteristics of the data, enhances the monitoring of H. pylori infection and related inflammatory responses in guinea pigs experimentally infected with these bacteria, with potential applications in humans for prediction the infection course and its systemic effects.https://doi.org/10.1038/s41598-025-98016-w |
| spellingShingle | Weronika Gonciarz Lucyna Kozlowska Joanna Róg Magdalena Chmiela Untargeted metabolomic profiling for identifying systemic signatures of helicobacter pylori infection in a guinea pig model Scientific Reports |
| title | Untargeted metabolomic profiling for identifying systemic signatures of helicobacter pylori infection in a guinea pig model |
| title_full | Untargeted metabolomic profiling for identifying systemic signatures of helicobacter pylori infection in a guinea pig model |
| title_fullStr | Untargeted metabolomic profiling for identifying systemic signatures of helicobacter pylori infection in a guinea pig model |
| title_full_unstemmed | Untargeted metabolomic profiling for identifying systemic signatures of helicobacter pylori infection in a guinea pig model |
| title_short | Untargeted metabolomic profiling for identifying systemic signatures of helicobacter pylori infection in a guinea pig model |
| title_sort | untargeted metabolomic profiling for identifying systemic signatures of helicobacter pylori infection in a guinea pig model |
| url | https://doi.org/10.1038/s41598-025-98016-w |
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