11
views
0
recommends
+1 Recommend
1 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      High-fat diet, microbiome-gut-brain axis signaling, and anxiety-like behavior in male rats

      research-article

      Read this article at

      ScienceOpenPublisherPMC
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Obesity, associated with the intake of a high-fat diet (HFD), and anxiety are common among those living in modern urban societies. Recent studies suggest a role of microbiome-gut-brain axis signaling, including a role for brain serotonergic systems in the relationship between HFD and anxiety. Evidence suggests the gut microbiome and the serotonergic brain system together may play an important role in this response. Here we conducted a nine-week HFD protocol in male rats, followed by an analysis of the gut microbiome diversity and community composition, brainstem serotonergic gene expression ( tph2, htr1a, and slc6a4), and anxiety-related defensive behavioral responses. We show that HFD intake decreased alpha diversity and altered the community composition of the gut microbiome in association with obesity, increased brainstem tph2, htr1a and slc6a4 mRNA expression, including in the caudal part of the dorsomedial dorsal raphe nucleus (cDRD), a subregion previously associated with stress- and anxiety-related behavioral responses, and, finally, increased anxiety-related defensive behavioral responses. The HFD increased the Firmicutes/Bacteroidetes ratio relative to control diet, as well as higher relative abundances of Blautia, and decreases in Prevotella. We found that tph2, htr1a and slc6a4 mRNA expression were increased in subregions of the dorsal raphe nucleus in the HFD, relative to control diet. Specific bacterial taxa were associated with increased serotonergic gene expression in the cDRD. Thus, we propose that HFD-induced obesity is associated with altered microbiome-gut-serotonergic brain axis signaling, leading to increased anxiety-related defensive behavioral responses in rats.

          Supplementary Information

          The online version contains supplementary material available at 10.1186/s40659-024-00505-1.

          Related collections

          Most cited references109

          • Record: found
          • Abstract: not found
          • Article: not found

          QIIME allows analysis of high-throughput community sequencing data.

            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            UPARSE: highly accurate OTU sequences from microbial amplicon reads.

            Amplified marker-gene sequences can be used to understand microbial community structure, but they suffer from a high level of sequencing and amplification artifacts. The UPARSE pipeline reports operational taxonomic unit (OTU) sequences with ≤1% incorrect bases in artificial microbial community tests, compared with >3% incorrect bases commonly reported by other methods. The improved accuracy results in far fewer OTUs, consistently closer to the expected number of species in a community.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Naive Bayesian classifier for rapid assignment of rRNA sequences into the new bacterial taxonomy.

              The Ribosomal Database Project (RDP) Classifier, a naïve Bayesian classifier, can rapidly and accurately classify bacterial 16S rRNA sequences into the new higher-order taxonomy proposed in Bergey's Taxonomic Outline of the Prokaryotes (2nd ed., release 5.0, Springer-Verlag, New York, NY, 2004). It provides taxonomic assignments from domain to genus, with confidence estimates for each assignment. The majority of classifications (98%) were of high estimated confidence (> or = 95%) and high accuracy (98%). In addition to being tested with the corpus of 5,014 type strain sequences from Bergey's outline, the RDP Classifier was tested with a corpus of 23,095 rRNA sequences as assigned by the NCBI into their alternative higher-order taxonomy. The results from leave-one-out testing on both corpora show that the overall accuracies at all levels of confidence for near-full-length and 400-base segments were 89% or above down to the genus level, and the majority of the classification errors appear to be due to anomalies in the current taxonomies. For shorter rRNA segments, such as those that might be generated by pyrosequencing, the error rate varied greatly over the length of the 16S rRNA gene, with segments around the V2 and V4 variable regions giving the lowest error rates. The RDP Classifier is suitable both for the analysis of single rRNA sequences and for the analysis of libraries of thousands of sequences. Another related tool, RDP Library Compare, was developed to facilitate microbial-community comparison based on 16S rRNA gene sequence libraries. It combines the RDP Classifier with a statistical test to flag taxa differentially represented between samples. The RDP Classifier and RDP Library Compare are available online at http://rdp.cme.msu.edu/.
                Bookmark

                Author and article information

                Contributors
                rodrigo.menezes@ufop.edu.br
                Journal
                Biol Res
                Biol Res
                Biological Research
                BioMed Central (London )
                0716-9760
                0717-6287
                6 May 2024
                6 May 2024
                2024
                : 57
                : 23
                Affiliations
                [1 ]Department of Biological Sciences, Laboratory of Cardiovascular Physiology, Federal University of Ouro Preto, ( https://ror.org/056s65p46) Ouro Preto, MG 35400-000 Brazil
                [2 ]Department of Integrative Physiology, University of Colorado Boulder, ( https://ror.org/02ttsq026) Boulder, CO 80309 USA
                [3 ]Computing Department, Federal University of Ouro Preto, ( https://ror.org/056s65p46) Ouro Preto, MG 35400-000 Brazil
                [4 ]Department of Psychology and Neuroscience, University of Colorado Boulder, ( https://ror.org/02ttsq026) Boulder, CO 80309 USA
                [5 ]GRID grid.266190.a, ISNI 0000000096214564, Center for Neuroscience, , University of Colorado Boulder, ; Boulder, CO 80309 USA
                [6 ]Department of Biological Science Laboratory of Cardiovascular Physiology, Campus Morro do Cruzeiro s/n, Ouro Preto, 35400-000 MG Brazil
                Author information
                http://orcid.org/0000-0003-0286-0621
                Article
                505
                10.1186/s40659-024-00505-1
                11071217
                38705984
                bdf5b487-2a27-4b40-a707-b444253d14c1
                © The Author(s) 2024

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 26 October 2023
                : 23 April 2024
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100003593, Conselho Nacional de Desenvolvimento Científico e Tecnológico;
                Award ID: Conselho Nacional de Desenvolvimento Científico e Tecnológico
                Funded by: FundRef http://dx.doi.org/10.13039/501100004901, Fundação de Amparo à Pesquisa do Estado de Minas Gerais;
                Award ID: APQ-00359-21
                Award ID: APQ-02182-17
                Award ID: APQ-00823-21
                Award ID: Center of Animal Science (APQ-02511-22)
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100002322, Coordenação de Aperfeiçoamento de Pessoal de Nível Superior;
                Award ID: Financial Code 001 and the Programa de Doutorado Sanduíche no Exterior [PDSE], process #88881.132957/2016-01
                Funded by: FundRef http://dx.doi.org/10.13039/501100004809, Financiadora de Estudos e Projetos;
                Award ID: Financiadora de Estudos e Projetos
                Funded by: FundRef http://dx.doi.org/10.13039/501100009730, Universidade Federal de Ouro Preto;
                Award ID: Universidade Federal de Ouro Preto
                Funded by: FundRef http://dx.doi.org/10.13039/100000009, Foundation for the National Institutes of Health;
                Award ID: Foundation for the National Institutes of Health
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100000001, National Science Foundation;
                Award ID: National Science Foundation
                Award Recipient :
                Funded by: Institute for Cannabis Research
                Award ID: Institute for Cannabis Research
                Award Recipient :
                Categories
                Research Article
                Custom metadata
                © Sociedad de Biologia de Chile 2024

                anxiety,dorsal raphe nucleus,high-fat diet,microbiome,microbiome-gut-brain axis,obesity,raphe nuclei,serotonergic system,serotonin,tph2

                Comments

                Comment on this article