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      Behavioral alterations in antibiotic-treated mice associated with gut microbiota dysbiosis: insights from 16S rRNA and metabolomics

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          Abstract

          The gut and brain interact through various metabolic and signaling pathways, each of which influences mental health. Gut dysbiosis caused by antibiotics is a well-known phenomenon that has serious implications for gut microbiota-brain interactions. Although antibiotics disrupt the gut microbiota’s fundamental structure, the mechanisms that modulate the response and their impact on brain function are still unclear. It is imperative to comprehend and investigate crucial regulators and factors that play important roles. We aimed to study the effect of long-term antibiotic-induced disruption of gut microbiota, host metabolomes, and brain function and, particularly, to determine the basic interactions between them by treating the C57BL/6 mice with two different, most commonly used antibiotics, ciprofloxacin and amoxicillin. Anxiety-like behavior was confirmed by the elevated plus-maze test and open field test. Gut microbes and their metabolite profiles in fecal, serum, and brain samples were determined by 16S rRNA sequencing and untargeted metabolomics. In our study, long-term antibiotic treatment exerted anxiety-like effects. The fecal microbiota and metabolite status revealed that the top five genera found were Lactobacillus, Bacteroides, Akkermansia, Ruminococcus_gnavus_group, and unclassified norank_f_Muribaculaceae. The concentration of serotonin, L-Tyrosine, 5-Hydroxy-L-tryptophan, L-Glutamic acid, L-Glutamate, 5-Hydroxyindole acetic acid, and dopaminergic synapsis was comparatively low, while adenosine was high in antibiotic-treated mice. The KEGG enrichment analysis of serum and brain samples showed that amino acid metabolism pathways, such as tryptophan metabolism, threonine metabolism, serotonergic synapsis, methionine metabolism, and neuroactive ligand-receptor interaction, were significantly decreased in antibiotic-treated mice. Our study demonstrates that long-term antibiotic use induces gut dysbiosis and alters metabolic responses, leading to the dysregulation of brain signaling molecules and anxiety-like behavior. These findings highlight the complex interactions between gut microbiota and metabolic functions, providing new insights into the influence of microbial communities on gut-brain communication.

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          Most cited references75

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          Introducing mothur: open-source, platform-independent, community-supported software for describing and comparing microbial communities.

          mothur aims to be a comprehensive software package that allows users to use a single piece of software to analyze community sequence data. It builds upon previous tools to provide a flexible and powerful software package for analyzing sequencing data. As a case study, we used mothur to trim, screen, and align sequences; calculate distances; assign sequences to operational taxonomic units; and describe the alpha and beta diversity of eight marine samples previously characterized by pyrosequencing of 16S rRNA gene fragments. This analysis of more than 222,000 sequences was completed in less than 2 h with a laptop computer.
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            Cd-hit: a fast program for clustering and comparing large sets of protein or nucleotide sequences.

            In 2001 and 2002, we published two papers (Bioinformatics, 17, 282-283, Bioinformatics, 18, 77-82) describing an ultrafast protein sequence clustering program called cd-hit. This program can efficiently cluster a huge protein database with millions of sequences. However, the applications of the underlying algorithm are not limited to only protein sequences clustering, here we present several new programs using the same algorithm including cd-hit-2d, cd-hit-est and cd-hit-est-2d. Cd-hit-2d compares two protein datasets and reports similar matches between them; cd-hit-est clusters a DNA/RNA sequence database and cd-hit-est-2d compares two nucleotide datasets. All these programs can handle huge datasets with millions of sequences and can be hundreds of times faster than methods based on the popular sequence comparison and database search tools, such as BLAST.
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              An obesity-associated gut microbiome with increased capacity for energy harvest.

              The worldwide obesity epidemic is stimulating efforts to identify host and environmental factors that affect energy balance. Comparisons of the distal gut microbiota of genetically obese mice and their lean littermates, as well as those of obese and lean human volunteers have revealed that obesity is associated with changes in the relative abundance of the two dominant bacterial divisions, the Bacteroidetes and the Firmicutes. Here we demonstrate through metagenomic and biochemical analyses that these changes affect the metabolic potential of the mouse gut microbiota. Our results indicate that the obese microbiome has an increased capacity to harvest energy from the diet. Furthermore, this trait is transmissible: colonization of germ-free mice with an 'obese microbiota' results in a significantly greater increase in total body fat than colonization with a 'lean microbiota'. These results identify the gut microbiota as an additional contributing factor to the pathophysiology of obesity.

                Author and article information

                Contributors
                URI : https://loop.frontiersin.org/people/1648702/overviewRole: Role: Role:
                Role: Role:
                URI : https://loop.frontiersin.org/people/376411/overviewRole: Role: Role: Role: Role:
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                URI : https://loop.frontiersin.org/people/566068/overviewRole: Role: Role: Role: Role: Role:
                Journal
                Front Neurosci
                Front Neurosci
                Front. Neurosci.
                Frontiers in Neuroscience
                Frontiers Media S.A.
                1662-4548
                1662-453X
                28 February 2025
                2025
                : 19
                : 1478304
                Affiliations
                [1] 1The Key Laboratory of Microbiology and Parasitology Anhui, School of Basic Medical Sciences, The First Affiliated Hospital of Anhui Medical University , Hefei, China
                [2] 2Department of Clinical Laboratory Diagnostics, The First Affiliated Hospital of Anhui Medical University , Hefei, China
                [3] 3Department of Food, Bioprocessing and Nutrition Sciences, Plants for Human Health Institute, North Carolina State University , Kannapolis, NC, United States
                Author notes

                Edited by: Sudeepa Bhattacharyya, Arkansas State University, United States

                Reviewed by: Kaijian Hou, Shantou University, China

                Yongkang Zhen, Yangzhou University, China

                *Correspondence: Yuanhong Xu, xyhong1964@ 123456163.com

                These authors have contributed equally to this work

                Article
                10.3389/fnins.2025.1478304
                11906700
                40092066
                f68ce347-fc04-421f-bc8f-5289eec92638
                Copyright © 2025 Bibi, Zhang, Shen, Din and Xu.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 09 August 2024
                : 03 February 2025
                Page count
                Figures: 9, Tables: 1, Equations: 0, References: 75, Pages: 16, Words: 11277
                Funding
                The author(s) declare that financial support was received for the research, authorship, and/or publication of this article. This work was supported by the Anhui Provincial University Research Project Fund (2022AH040162) from the Anhui Provincial Department of Education.
                Categories
                Neuroscience
                Original Research
                Custom metadata
                Gut-Brain Axis

                Neurosciences
                gut microbiota,antibiotic,gut dysbiosis,brain,metabolome,anxiety-like behavior
                Neurosciences
                gut microbiota, antibiotic, gut dysbiosis, brain, metabolome, anxiety-like behavior

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