A New Biomarker Profiling Strategy for Gut Microbiome Research: Valid Association of Metabolites to Metabolism of Microbiota Detected by Non-Targeted Metabolomics in Human Urine
The gut microbiome is of tremendous relevance to human health and disease, so it is a hot topic of omics-driven biomedical research. However, a valid identification of gut microbiota-associated molecules in human blood or urine is difficult to achieve. We hypothesize that bowel evacuation is an easy...
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| Format: | Article |
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MDPI AG
2023-10-01
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| Series: | Metabolites |
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| Online Access: | https://www.mdpi.com/2218-1989/13/10/1061 |
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| author | Sijia Zheng Lina Zhou Miriam Hoene Andreas Peter Andreas L. Birkenfeld Cora Weigert Xinyu Liu Xinjie Zhao Guowang Xu Rainer Lehmann |
| author_facet | Sijia Zheng Lina Zhou Miriam Hoene Andreas Peter Andreas L. Birkenfeld Cora Weigert Xinyu Liu Xinjie Zhao Guowang Xu Rainer Lehmann |
| author_sort | Sijia Zheng |
| collection | DOAJ |
| description | The gut microbiome is of tremendous relevance to human health and disease, so it is a hot topic of omics-driven biomedical research. However, a valid identification of gut microbiota-associated molecules in human blood or urine is difficult to achieve. We hypothesize that bowel evacuation is an easy-to-use approach to reveal such metabolites. A non-targeted and modifying group-assisted metabolomics approach (covering 40 types of modifications) was applied to investigate urine samples collected in two independent experiments at various time points before and after laxative use. Fasting over the same time period served as the control condition. As a result, depletion of the fecal microbiome significantly affected the levels of 331 metabolite ions in urine, including 100 modified metabolites. Dominating modifications were glucuronidations, carboxylations, sulfations, adenine conjugations, butyrylations, malonylations, and acetylations. A total of 32 compounds, including common, but also unexpected fecal microbiota-associated metabolites, were annotated. The applied strategy has potential to generate a microbiome-associated metabolite map (M3) of urine from healthy humans, and presumably also other body fluids. Comparative analyses of M3 vs. disease-related metabolite profiles, or therapy-dependent changes may open promising perspectives for human gut microbiome research and diagnostics beyond analyzing feces. |
| first_indexed | 2024-03-10T21:03:19Z |
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| id | doaj.art-307faf14c2234d938078dec374330be9 |
| institution | Directory Open Access Journal |
| issn | 2218-1989 |
| language | English |
| last_indexed | 2024-03-10T21:03:19Z |
| publishDate | 2023-10-01 |
| publisher | MDPI AG |
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| series | Metabolites |
| spelling | doaj.art-307faf14c2234d938078dec374330be92023-11-19T17:19:54ZengMDPI AGMetabolites2218-19892023-10-011310106110.3390/metabo13101061A New Biomarker Profiling Strategy for Gut Microbiome Research: Valid Association of Metabolites to Metabolism of Microbiota Detected by Non-Targeted Metabolomics in Human UrineSijia Zheng0Lina Zhou1Miriam Hoene2Andreas Peter3Andreas L. Birkenfeld4Cora Weigert5Xinyu Liu6Xinjie Zhao7Guowang Xu8Rainer Lehmann9CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023, ChinaCAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023, ChinaInstitute for Clinical Chemistry and Pathobiochemistry, Department for Diagnostic Laboratory Medicine, University Hospital Tübingen, 72076 Tuebingen, GermanyInstitute for Clinical Chemistry and Pathobiochemistry, Department for Diagnostic Laboratory Medicine, University Hospital Tübingen, 72076 Tuebingen, GermanyInstitute for Diabetes Research and Metabolic Diseases of the Helmholtz Zentrum München at the University of Tübingen, 72076 Tübingen, GermanyInstitute for Clinical Chemistry and Pathobiochemistry, Department for Diagnostic Laboratory Medicine, University Hospital Tübingen, 72076 Tuebingen, GermanyCAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023, ChinaCAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023, ChinaCAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023, ChinaInstitute for Clinical Chemistry and Pathobiochemistry, Department for Diagnostic Laboratory Medicine, University Hospital Tübingen, 72076 Tuebingen, GermanyThe gut microbiome is of tremendous relevance to human health and disease, so it is a hot topic of omics-driven biomedical research. However, a valid identification of gut microbiota-associated molecules in human blood or urine is difficult to achieve. We hypothesize that bowel evacuation is an easy-to-use approach to reveal such metabolites. A non-targeted and modifying group-assisted metabolomics approach (covering 40 types of modifications) was applied to investigate urine samples collected in two independent experiments at various time points before and after laxative use. Fasting over the same time period served as the control condition. As a result, depletion of the fecal microbiome significantly affected the levels of 331 metabolite ions in urine, including 100 modified metabolites. Dominating modifications were glucuronidations, carboxylations, sulfations, adenine conjugations, butyrylations, malonylations, and acetylations. A total of 32 compounds, including common, but also unexpected fecal microbiota-associated metabolites, were annotated. The applied strategy has potential to generate a microbiome-associated metabolite map (M3) of urine from healthy humans, and presumably also other body fluids. Comparative analyses of M3 vs. disease-related metabolite profiles, or therapy-dependent changes may open promising perspectives for human gut microbiome research and diagnostics beyond analyzing feces.https://www.mdpi.com/2218-1989/13/10/1061microbiomegut florametabolomicsmetabolitesurinediagnosis |
| spellingShingle | Sijia Zheng Lina Zhou Miriam Hoene Andreas Peter Andreas L. Birkenfeld Cora Weigert Xinyu Liu Xinjie Zhao Guowang Xu Rainer Lehmann A New Biomarker Profiling Strategy for Gut Microbiome Research: Valid Association of Metabolites to Metabolism of Microbiota Detected by Non-Targeted Metabolomics in Human Urine Metabolites microbiome gut flora metabolomics metabolites urine diagnosis |
| title | A New Biomarker Profiling Strategy for Gut Microbiome Research: Valid Association of Metabolites to Metabolism of Microbiota Detected by Non-Targeted Metabolomics in Human Urine |
| title_full | A New Biomarker Profiling Strategy for Gut Microbiome Research: Valid Association of Metabolites to Metabolism of Microbiota Detected by Non-Targeted Metabolomics in Human Urine |
| title_fullStr | A New Biomarker Profiling Strategy for Gut Microbiome Research: Valid Association of Metabolites to Metabolism of Microbiota Detected by Non-Targeted Metabolomics in Human Urine |
| title_full_unstemmed | A New Biomarker Profiling Strategy for Gut Microbiome Research: Valid Association of Metabolites to Metabolism of Microbiota Detected by Non-Targeted Metabolomics in Human Urine |
| title_short | A New Biomarker Profiling Strategy for Gut Microbiome Research: Valid Association of Metabolites to Metabolism of Microbiota Detected by Non-Targeted Metabolomics in Human Urine |
| title_sort | new biomarker profiling strategy for gut microbiome research valid association of metabolites to metabolism of microbiota detected by non targeted metabolomics in human urine |
| topic | microbiome gut flora metabolomics metabolites urine diagnosis |
| url | https://www.mdpi.com/2218-1989/13/10/1061 |
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