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      Compared to histamine-2 receptor antagonist, proton pump inhibitor induces stronger oral-to-gut microbial transmission and gut microbiome alterations: a randomised controlled trial

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          Abstract

          Objective

          We aim to compare the effects of proton pump inhibitors (PPIs) and histamine-2 receptor antagonists (H2RAs) on the gut microbiota through longitudinal analysis.

          Design

          Healthy volunteers were randomly assigned to receive either PPI (n=23) or H2RA (n=26) daily for seven consecutive days. We collected oral (saliva) and faecal samples before and after the intervention for metagenomic next-generation sequencing. We analysed intervention-induced alterations in the oral and gut microbiome including microbial abundance and growth rates, oral-to-gut transmissions, and compared differences between the PPI and H2RA groups.

          Results

          Both interventions disrupted the gut microbiota, with PPIs demonstrating more pronounced effects. PPI usage led to a significantly higher extent of oral-to-gut transmission and promoted the growth of specific oral microbes in the gut. This led to a significant increase in both the number and total abundance of oral species present in the gut, including the identification of known disease-associated species like Fusobacterium nucleatum and Streptococcus anginosus. Overall, gut microbiome-based machine learning classifiers could accurately distinguish PPI from non-PPI users, achieving an area under the receiver operating characteristic curve (AUROC) of 0.924, in contrast to an AUROC of 0.509 for H2RA versus non-H2RA users.

          Conclusion

          Our study provides evidence that PPIs have a greater impact on the gut microbiome and oral-to-gut transmission than H2RAs, shedding light on the mechanism underlying the higher risk of certain diseases associated with prolonged PPI use.

          Trial registration number

          ChiCTR2300072310.

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          Most cited references52

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          Fast gapped-read alignment with Bowtie 2.

          As the rate of sequencing increases, greater throughput is demanded from read aligners. The full-text minute index is often used to make alignment very fast and memory-efficient, but the approach is ill-suited to finding longer, gapped alignments. Bowtie 2 combines the strengths of the full-text minute index with the flexibility and speed of hardware-accelerated dynamic programming algorithms to achieve a combination of high speed, sensitivity and accuracy.
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            Metagenomic biomarker discovery and explanation

            This study describes and validates a new method for metagenomic biomarker discovery by way of class comparison, tests of biological consistency and effect size estimation. This addresses the challenge of finding organisms, genes, or pathways that consistently explain the differences between two or more microbial communities, which is a central problem to the study of metagenomics. We extensively validate our method on several microbiomes and a convenient online interface for the method is provided at http://huttenhower.sph.harvard.edu/lefse/.
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              metaSPAdes: a new versatile metagenomic assembler

              While metagenomics has emerged as a technology of choice for analyzing bacterial populations, the assembly of metagenomic data remains challenging, thus stifling biological discoveries. Moreover, recent studies revealed that complex bacterial populations may be composed from dozens of related strains, thus further amplifying the challenge of metagenomic assembly. metaSPAdes addresses various challenges of metagenomic assembly by capitalizing on computational ideas that proved to be useful in assemblies of single cells and highly polymorphic diploid genomes. We benchmark metaSPAdes against other state-of-the-art metagenome assemblers and demonstrate that it results in high-quality assemblies across diverse data sets.
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                Author and article information

                Journal
                Gut
                Gut
                gutjnl
                gut
                Gut
                BMJ Publishing Group (BMA House, Tavistock Square, London, WC1H 9JR )
                0017-5749
                1468-3288
                July 2024
                22 November 2023
                : 73
                : 7
                : 1087-1097
                Affiliations
                [1 ] departmentKey Laboratory of Molecular Biophysics of the Ministry of Education, Hubei Key Laboratory of Bioinformatics and Molecular-imaging, Center for Artificial Intelligence Biology, Department of Bioinformatics and Systems Biology , Ringgold_208337College of Life Science and Technology, Huazhong University of Science and Technology , Wuhan, China
                [2 ] departmentDepartment of Neurology, Zhongshan Hospital , Ringgold_12478Fudan University , Shanghai, China
                [3 ] departmentInstitute of Science and Technology for Brain-Inspired Intelligence , Fudan University , Shanghai, China
                [4 ] departmentState Key Laboratory of Medical Neurobiology, Institutes of Brain Science , Fudan University , Shanghai, China
                [5 ] departmentMOE Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, and MOE Frontiers Center for Brain Science , Fudan University , Shanghai, China
                [6 ] International Human Phenome Institutes (Shanghai) , Shanghai, China
                [7 ] departmentDepartment of Oncology , The First Affiliated Hospital of Zhengzhou University , Henan, China
                [8 ] departmentMedical Artificial Intelligence Research Institute , Binzhou Medical University , Yantai, China
                Author notes
                [Correspondence to ] Dr Wei-Hua Chen, Key Laboratory of Molecular Biophysics of the Ministry of Education, Hubei Key Laboratory of Bioinformatics and Molecular-imaging, Center for Artificial Intelligence Biology, Department of Bioinformatics and Systems Biology, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, China; weihuachen@ 123456hust.edu.cn ; Dr Xing-Ming Zhao, Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China; xmzhao@ 123456fudan.edu.cn
                Author information
                http://orcid.org/0000-0001-5247-7829
                http://orcid.org/0000-0001-5025-2650
                http://orcid.org/0000-0001-5160-4398
                Article
                gutjnl-2023-330168
                10.1136/gutjnl-2023-330168
                11187400
                38050061
                585856ef-bfdb-4bae-97b4-e0079e672571
                © Author(s) (or their employer(s)) 2024. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

                This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.

                History
                : 26 April 2023
                : 06 November 2023
                Funding
                Funded by: Shanghai Municipal Science and Technology Major Project;
                Award ID: 2018SHZDZX01
                Funded by: Greater Bay Area Institute of Precision Medicine (Guangzhou);
                Award ID: IPM21C008
                Funded by: FundRef http://dx.doi.org/10.13039/501100001809, National Natural Science Foundation of China;
                Award ID: 61932008
                Award ID: T2225015
                Funded by: NNSF-VR Sino-Swedish Joint Research Programme;
                Award ID: 82161138017
                Funded by: FundRef http://dx.doi.org/10.13039/501100012166, National Key Research and Development Program of China;
                Award ID: 2019YFA0905600
                Award ID: 2020YFA0712403
                Categories
                Gut Microbiota
                1506
                2312
                Original research
                Custom metadata
                unlocked

                Gastroenterology & Hepatology
                proton pump inhibition,intestinal microbiology
                Gastroenterology & Hepatology
                proton pump inhibition, intestinal microbiology

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