Gut microbiome and metabolome to discover pathogenic bacteria and probiotics in ankylosing spondylitis
Previous research has partially revealed distinct gut microbiota in ankylosing spondylitis (AS). In this study, we performed non-targeted fecal metabolomics in AS in order to discover the microbiome-metabolome interface in AS. Based on prospective cohort studies, we further explored the impact of th...
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Published in | Frontiers in immunology Vol. 15; p. 1369116 |
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Main Authors | , , , , , , , |
Format | Journal Article |
Language | English |
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Frontiers Media S.A
22.04.2024
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ISSN | 1664-3224 1664-3224 |
DOI | 10.3389/fimmu.2024.1369116 |
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Abstract | Previous research has partially revealed distinct gut microbiota in ankylosing spondylitis (AS). In this study, we performed non-targeted fecal metabolomics in AS in order to discover the microbiome-metabolome interface in AS. Based on prospective cohort studies, we further explored the impact of the tumor necrosis factor inhibitor (TNFi) on the gut microbiota and metabolites in AS.
To further understand the gut microbiota and metabolites in AS, along with the influence of TNFi, we initiated a prospective cohort study. Fecal samples were collected from 29 patients with AS before and after TNFi therapy and 31 healthy controls. Metagenomic and metabolomic experiments were performed on the fecal samples; moreover, validation experiments were conducted based on the association between the microbiota and metabolites.
A total of 7,703 species were annotated using the metagenomic sequencing system and by profiling the microbial community taxonomic composition, while 50,046 metabolites were identified using metabolite profiling. Differential microbials and metabolites were discovered between patients with AS and healthy controls. Moreover, TNFi was confirmed to partially restore the gut microbiota and the metabolites. Multi-omics analysis of the microbiota and metabolites was performed to determine the associations between the differential microbes and metabolites, identifying compounds such as oxypurinol and biotin, which were correlated with the inhibition of the pathogenic bacteria
and the promotion of the probiotic bacteria
. Through experimental studies, the relationship between microbes and metabolites was further confirmed, and the impact of these two types of microbes on the enterocytes and the inflammatory cytokine interleukin-18 (IL-18) was explored.
In summary, multi-omics exploration elucidated the impact of TNFi on the gut microbiota and metabolites and proposed a novel therapeutic perspective: supplementation of compounds to inhibit potential pathogenic bacteria and to promote potential probiotics, therefore controlling inflammation in AS. |
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AbstractList | ObjectivePrevious research has partially revealed distinct gut microbiota in ankylosing spondylitis (AS). In this study, we performed non-targeted fecal metabolomics in AS in order to discover the microbiome–metabolome interface in AS. Based on prospective cohort studies, we further explored the impact of the tumor necrosis factor inhibitor (TNFi) on the gut microbiota and metabolites in AS.MethodsTo further understand the gut microbiota and metabolites in AS, along with the influence of TNFi, we initiated a prospective cohort study. Fecal samples were collected from 29 patients with AS before and after TNFi therapy and 31 healthy controls. Metagenomic and metabolomic experiments were performed on the fecal samples; moreover, validation experiments were conducted based on the association between the microbiota and metabolites.ResultsA total of 7,703 species were annotated using the metagenomic sequencing system and by profiling the microbial community taxonomic composition, while 50,046 metabolites were identified using metabolite profiling. Differential microbials and metabolites were discovered between patients with AS and healthy controls. Moreover, TNFi was confirmed to partially restore the gut microbiota and the metabolites. Multi-omics analysis of the microbiota and metabolites was performed to determine the associations between the differential microbes and metabolites, identifying compounds such as oxypurinol and biotin, which were correlated with the inhibition of the pathogenic bacteria Ruminococcus gnavus and the promotion of the probiotic bacteria Bacteroides uniformis. Through experimental studies, the relationship between microbes and metabolites was further confirmed, and the impact of these two types of microbes on the enterocytes and the inflammatory cytokine interleukin-18 (IL-18) was explored.ConclusionIn summary, multi-omics exploration elucidated the impact of TNFi on the gut microbiota and metabolites and proposed a novel therapeutic perspective: supplementation of compounds to inhibit potential pathogenic bacteria and to promote potential probiotics, therefore controlling inflammation in AS. Previous research has partially revealed distinct gut microbiota in ankylosing spondylitis (AS). In this study, we performed non-targeted fecal metabolomics in AS in order to discover the microbiome-metabolome interface in AS. Based on prospective cohort studies, we further explored the impact of the tumor necrosis factor inhibitor (TNFi) on the gut microbiota and metabolites in AS. To further understand the gut microbiota and metabolites in AS, along with the influence of TNFi, we initiated a prospective cohort study. Fecal samples were collected from 29 patients with AS before and after TNFi therapy and 31 healthy controls. Metagenomic and metabolomic experiments were performed on the fecal samples; moreover, validation experiments were conducted based on the association between the microbiota and metabolites. A total of 7,703 species were annotated using the metagenomic sequencing system and by profiling the microbial community taxonomic composition, while 50,046 metabolites were identified using metabolite profiling. Differential microbials and metabolites were discovered between patients with AS and healthy controls. Moreover, TNFi was confirmed to partially restore the gut microbiota and the metabolites. Multi-omics analysis of the microbiota and metabolites was performed to determine the associations between the differential microbes and metabolites, identifying compounds such as oxypurinol and biotin, which were correlated with the inhibition of the pathogenic bacteria and the promotion of the probiotic bacteria . Through experimental studies, the relationship between microbes and metabolites was further confirmed, and the impact of these two types of microbes on the enterocytes and the inflammatory cytokine interleukin-18 (IL-18) was explored. In summary, multi-omics exploration elucidated the impact of TNFi on the gut microbiota and metabolites and proposed a novel therapeutic perspective: supplementation of compounds to inhibit potential pathogenic bacteria and to promote potential probiotics, therefore controlling inflammation in AS. Previous research has partially revealed distinct gut microbiota in ankylosing spondylitis (AS). In this study, we performed non-targeted fecal metabolomics in AS in order to discover the microbiome-metabolome interface in AS. Based on prospective cohort studies, we further explored the impact of the tumor necrosis factor inhibitor (TNFi) on the gut microbiota and metabolites in AS.ObjectivePrevious research has partially revealed distinct gut microbiota in ankylosing spondylitis (AS). In this study, we performed non-targeted fecal metabolomics in AS in order to discover the microbiome-metabolome interface in AS. Based on prospective cohort studies, we further explored the impact of the tumor necrosis factor inhibitor (TNFi) on the gut microbiota and metabolites in AS.To further understand the gut microbiota and metabolites in AS, along with the influence of TNFi, we initiated a prospective cohort study. Fecal samples were collected from 29 patients with AS before and after TNFi therapy and 31 healthy controls. Metagenomic and metabolomic experiments were performed on the fecal samples; moreover, validation experiments were conducted based on the association between the microbiota and metabolites.MethodsTo further understand the gut microbiota and metabolites in AS, along with the influence of TNFi, we initiated a prospective cohort study. Fecal samples were collected from 29 patients with AS before and after TNFi therapy and 31 healthy controls. Metagenomic and metabolomic experiments were performed on the fecal samples; moreover, validation experiments were conducted based on the association between the microbiota and metabolites.A total of 7,703 species were annotated using the metagenomic sequencing system and by profiling the microbial community taxonomic composition, while 50,046 metabolites were identified using metabolite profiling. Differential microbials and metabolites were discovered between patients with AS and healthy controls. Moreover, TNFi was confirmed to partially restore the gut microbiota and the metabolites. Multi-omics analysis of the microbiota and metabolites was performed to determine the associations between the differential microbes and metabolites, identifying compounds such as oxypurinol and biotin, which were correlated with the inhibition of the pathogenic bacteria Ruminococcus gnavus and the promotion of the probiotic bacteria Bacteroides uniformis. Through experimental studies, the relationship between microbes and metabolites was further confirmed, and the impact of these two types of microbes on the enterocytes and the inflammatory cytokine interleukin-18 (IL-18) was explored.ResultsA total of 7,703 species were annotated using the metagenomic sequencing system and by profiling the microbial community taxonomic composition, while 50,046 metabolites were identified using metabolite profiling. Differential microbials and metabolites were discovered between patients with AS and healthy controls. Moreover, TNFi was confirmed to partially restore the gut microbiota and the metabolites. Multi-omics analysis of the microbiota and metabolites was performed to determine the associations between the differential microbes and metabolites, identifying compounds such as oxypurinol and biotin, which were correlated with the inhibition of the pathogenic bacteria Ruminococcus gnavus and the promotion of the probiotic bacteria Bacteroides uniformis. Through experimental studies, the relationship between microbes and metabolites was further confirmed, and the impact of these two types of microbes on the enterocytes and the inflammatory cytokine interleukin-18 (IL-18) was explored.In summary, multi-omics exploration elucidated the impact of TNFi on the gut microbiota and metabolites and proposed a novel therapeutic perspective: supplementation of compounds to inhibit potential pathogenic bacteria and to promote potential probiotics, therefore controlling inflammation in AS.ConclusionIn summary, multi-omics exploration elucidated the impact of TNFi on the gut microbiota and metabolites and proposed a novel therapeutic perspective: supplementation of compounds to inhibit potential pathogenic bacteria and to promote potential probiotics, therefore controlling inflammation in AS. |
Author | Zheng, Huihui Zhang, Yanpeng Tang, Wenli Yang, Min Luo, Xiao Lai, Yupeng Yu, Guangchuang Wang, Meiying |
AuthorAffiliation | 3 Department of Bioinformatics, School of Basic Medical Sciences, Southern Medical University , Guangzhou , China 5 Department of Laboratory, The First Affiliated Hospital of Shenzhen University, Shenzhen Second People’s Hospital , Shenzhen , China 4 Department of Pharmacy, Nanfang Hospital, Southern Medical University , Guangzhou , China 2 Department of Rheumatology and Immunology, The First Affiliated Hospital of Shenzhen University, Shenzhen Second People’s Hospital , Shenzhen , China 1 Department of Rheumatology and Immunology, Nanfang Hospital, Southern Medical University , Guangzhou , China |
AuthorAffiliation_xml | – name: 4 Department of Pharmacy, Nanfang Hospital, Southern Medical University , Guangzhou , China – name: 5 Department of Laboratory, The First Affiliated Hospital of Shenzhen University, Shenzhen Second People’s Hospital , Shenzhen , China – name: 2 Department of Rheumatology and Immunology, The First Affiliated Hospital of Shenzhen University, Shenzhen Second People’s Hospital , Shenzhen , China – name: 1 Department of Rheumatology and Immunology, Nanfang Hospital, Southern Medical University , Guangzhou , China – name: 3 Department of Bioinformatics, School of Basic Medical Sciences, Southern Medical University , Guangzhou , China |
Author_xml | – sequence: 1 givenname: Yupeng surname: Lai fullname: Lai, Yupeng – sequence: 2 givenname: Wenli surname: Tang fullname: Tang, Wenli – sequence: 3 givenname: Xiao surname: Luo fullname: Luo, Xiao – sequence: 4 givenname: Huihui surname: Zheng fullname: Zheng, Huihui – sequence: 5 givenname: Yanpeng surname: Zhang fullname: Zhang, Yanpeng – sequence: 6 givenname: Meiying surname: Wang fullname: Wang, Meiying – sequence: 7 givenname: Guangchuang surname: Yu fullname: Yu, Guangchuang – sequence: 8 givenname: Min surname: Yang fullname: Yang, Min |
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Cites_doi | 10.1021/acs.analchem.7b01381 10.3390/nu12020551 10.1080/19490976.2022.2073784 10.1136/annrheumdis-2016-211064 10.1136/annrheumdis-2019-215763 10.1007/s10067-020-04974-z 10.1016/j.intimp.2023.109810 10.1093/femsre/fuad014 10.18632/aging.v12i2 10.3389/fimmu.2021.587119 10.1002/ibd.20265 10.1080/19490976.2020.1865706 10.1136/annrheumdis-2021-221035 10.1097/CM9.0000000000002148 10.1136/gutjnl-2021-325753 10.1111/imr.12616 10.1093/nar/gkx1089 10.1002/art.41644 10.1136/annrheumdis-2019-216631 10.1016/j.jhazmat.2021.125868 10.1111/jphp.13111 10.1186/s13075-019-1943-6 10.1038/s41564-018-0306-4 10.1128/mBio.00886-20 10.1159/000441768 10.1002/art.41042 10.1155/2019/5796491 10.1016/j.xinn.2021.100141 10.1126/sciadv.add1166 10.1038/s41598-019-49685-x 10.1002/art.1780270401 10.1038/s41419-022-05394-4 10.1093/ibd/izy339 10.3390/ijms20194871 10.1371/journal.pone.0073076 10.1073/pnas.0812874106 10.1186/s12866-017-1108-1 10.1038/s41586-019-1865-0 10.1136/ard.2008.094870 10.1093/nar/gkw1092 10.1097/BOR.0000000000000239 10.3389/fcimb.2017.00383 10.1371/journal.pone.0076341 10.1016/j.clnesp.2022.06.011 10.1038/nature09944 |
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Keywords | Bacteroides uniformis CaCo-2 Ruminococcus gnavus ankylosing spondylitis biotin oxypurinol microbiome metabolome |
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Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 These authors have contributed equally to this work Reviewed by: Debora Decote-Ricardo, Federal Rural University of Rio de Janeiro, Brazil Edited by: James Cheng-Chung Wei, Chung Shan Medical University Hospital, Taiwan Ming-Shiou Jan, Chung Shan Medical University, Taiwan |
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Snippet | Previous research has partially revealed distinct gut microbiota in ankylosing spondylitis (AS). In this study, we performed non-targeted fecal metabolomics in... ObjectivePrevious research has partially revealed distinct gut microbiota in ankylosing spondylitis (AS). In this study, we performed non-targeted fecal... |
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SubjectTerms | Adult ankylosing spondylitis Bacteria - classification Bacteria - isolation & purification Bacteria - metabolism biotin CaCo-2 Feces - microbiology Female Gastrointestinal Microbiome Humans Immunology Male Metabolome Metabolomics Metagenomics - methods microbiome Middle Aged Probiotics Prospective Studies Ruminococcus gnavus Spondylitis, Ankylosing - immunology Spondylitis, Ankylosing - metabolism Spondylitis, Ankylosing - microbiology Tumor Necrosis Factor Inhibitors - pharmacology Tumor Necrosis Factor Inhibitors - therapeutic use |
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Title | Gut microbiome and metabolome to discover pathogenic bacteria and probiotics in ankylosing spondylitis |
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