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      Noninvasive sampling of the small intestinal chyme for microbiome, metabolome and antimicrobial resistance genes in dogs, a proof of concept

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          Abstract

          Background

          The gastrointestinal microbiome and metabolome vary greatly throughout the different segments of the gastrointestinal tract, however current knowledge of gastrointestinal microbiome and metabolome in health and disease is limited to fecal samples due to ease of sampling. The engineered Small Intestinal MicroBiome Aspiration (SIMBA™) capsule allows specific sampling of the small intestine in humans. We aimed to determine whether administration of SIMBA™ capsules to healthy beagle dogs could reliably and safely sample the small intestinal microbiome and metabolome when compared to their fecal microbiome and metabolome.

          Results

          Eleven beagle dogs were used for the study. Median transit time of capsules was 29.93 h (range: 23.83–77.88). Alpha diversity, as measured by the Simpson diversity, was significantly different ( P = 0.048). Shannon diversity was not different ( P = 0.114). Beta diversity results showed a significant difference between capsule and fecal samples regarding Bray–Curtis, weighted and unweighted unifrac ( P = 0.002) and ANOSIM distance metric s (R = 0.59, P = 0.002). In addition to observing a statistically significant difference in the microbial composition of capsules and feces, distinct variation in the metabolite profiles was seen between the sample types. Heat map analysis showed 16 compounds that were significantly different between the 2 sampling modes (adj- P value ranged between 0.004 and 0.036) with 10 metabolites more abundant in the capsule than in the feces and 6 metabolites more abundant in the feces compared to the capsules.

          Conclusions

          The engineered Small Intestinal MicroBiome Aspiration (SIMBA™) capsule was easy and safe to administer to dogs. Microbiome and metabolome analysis from the capsule samples were significantly different than that of the fecal samples and were like previously published small intestinal microbiome and metabolome composition.

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          Supplementary Information

          The online version contains supplementary material available at 10.1186/s42523-023-00286-0.

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          Most cited references47

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          DADA2: High resolution sample inference from Illumina amplicon data

          We present DADA2, a software package that models and corrects Illumina-sequenced amplicon errors. DADA2 infers sample sequences exactly, without coarse-graining into OTUs, and resolves differences of as little as one nucleotide. In several mock communities DADA2 identified more real variants and output fewer spurious sequences than other methods. We applied DADA2 to vaginal samples from a cohort of pregnant women, revealing a diversity of previously undetected Lactobacillus crispatus variants.
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            Cutadapt removes adapter sequences from high-throughput sequencing reads

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              Welcome to the Tidyverse

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                Author and article information

                Contributors
                julie.menard@ucalgary.ca
                Journal
                Anim Microbiome
                Anim Microbiome
                Animal Microbiome
                BioMed Central (London )
                2524-4671
                16 December 2023
                16 December 2023
                2023
                : 5
                : 64
                Affiliations
                [1 ]Department of Veterinary Diagnostic and Clinical Sciences, Faculty of Veterinary Medicine, University of Calgary, ( https://ror.org/03yjb2x39) Calgary, AB Canada
                [2 ]International Microbiome Center, Snyder Institute for Chronic Diseases, Cummings School of Medicine, University of Calgary, ( https://ror.org/03yjb2x39) Calgary, AB Canada
                [3 ]Nimble Science Ltd., Calgary, AB Canada
                [4 ]GRID grid.5386.8, ISNI 000000041936877X, Baker Institute for Animal Health and Department of Public and Ecosystem Health, College of Veterinary Medicine, , Cornell University, ; Ithaca, NY USA
                Article
                286
                10.1186/s42523-023-00286-0
                10725013
                38104116
                c5252368-da08-41c6-a7f9-f3403ca0feb5
                © The Author(s) 2023

                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/.

                History
                : 11 July 2023
                : 4 December 2023
                Funding
                Funded by: Animal Welfare Institution Refinement Grant
                Categories
                Research
                Custom metadata
                © BioMed Central Ltd. 2023

                microbiome,metabolome,gastrointestinal tract,capsule,antimicrobial resistance genes

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