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      The valproic acid rat model of autism presents with gut bacterial dysbiosis similar to that in human autism

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          Abstract

          Background

          Gut microbiota has the capacity to impact the regular function of the brain, which can in turn affect the composition of microbiota. Autism spectrum disorder (ASD) patients suffer from gastrointestinal problems and experience changes in gut microbiota; however, it is not yet clear whether the change in the microbiota associated with ASD is a cause or a consequence of the disease.

          Methods

          We have investigated the species richness and microbial composition in a valproic acid (VPA)-induced rat model autism. Fecal samples from the rectum were collected at necropsy, microbial total DNA was extracted, 16 rRNA genes sequenced using Illumina, and the global microbial co-occurrence network was constructed using a random matrix theory-based pipeline. Collected rat microbiome data were compared to available data derived from cases of autism.

          Results

          We found that VPA administration during pregnancy reduced fecal microbial richness, changed the gut microbial composition, and altered the metabolite potential of the fecal microbial community in a pattern similar to that seen in patients with ASD. However, the global network property and network composition as well as microbial co-occurrence patterns were largely preserved in the offspring of rats exposed to prenatal administration of VPA.

          Conclusions

          Our data on the microbiota of the VPA rat model of autism indicate that this model, in addition to behaviorally and anatomically mimicking the autistic brain as previously shown, also mimics the microbiome features of autism, making it one of the best-suited rodent models for the study of autism and ASD.

          Electronic supplementary material

          The online version of this article (10.1186/s13229-018-0251-3) contains supplementary material, which is available to authorized users.

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          Most cited references25

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          Gastrointestinal flora and gastrointestinal status in children with autism -- comparisons to typical children and correlation with autism severity

          Background Children with autism have often been reported to have gastrointestinal problems that are more frequent and more severe than in children from the general population. Methods Gastrointestinal flora and gastrointestinal status were assessed from stool samples of 58 children with Autism Spectrum Disorders (ASD) and 39 healthy typical children of similar ages. Stool testing included bacterial and yeast culture tests, lysozyme, lactoferrin, secretory IgA, elastase, digestion markers, short chain fatty acids (SCFA's), pH, and blood presence. Gastrointestinal symptoms were assessed with a modified six-item GI Severity Index (6-GSI) questionnaire, and autistic symptoms were assessed with the Autism Treatment Evaluation Checklist (ATEC). Results Gastrointestinal symptoms (assessed by the 6-GSI) were strongly correlated with the severity of autism (assessed by the ATEC), (r = 0.59, p < 0.001). Children with 6-GSI scores above 3 had much higher ATEC Total scores than those with 6-GSI-scores of 3 or lower (81.5 +/- 28 vs. 49.0 +/- 21, p = 0.00002). Children with autism had much lower levels of total short chain fatty acids (-27%, p = 0.00002), including lower levels of acetate, proprionate, and valerate; this difference was greater in the children with autism taking probiotics, but also significant in those not taking probiotics. Children with autism had lower levels of species of Bifidobacter (-43%, p = 0.002) and higher levels of species of Lactobacillus (+100%, p = 0.00002), but similar levels of other bacteria and yeast using standard culture growth-based techniques. Lysozyme was somewhat lower in children with autism (-27%, p = 0.04), possibly associated with probiotic usage. Other markers of digestive function were similar in both groups. Conclusions The strong correlation of gastrointestinal symptoms with autism severity indicates that children with more severe autism are likely to have more severe gastrointestinal symptoms and vice versa. It is possible that autism symptoms are exacerbated or even partially due to the underlying gastrointestinal problems. The low level of SCFA's was partly associated with increased probiotic use, and probably partly due to either lower production (less sacchrolytic fermentation by beneficial bacteria and/or lower intake of soluble fiber) and/or greater absorption into the body (due to longer transit time and/or increased gut permeability).
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            Correlation detection strategies in microbial data sets vary widely in sensitivity and precision.

            Disruption of healthy microbial communities has been linked to numerous diseases, yet microbial interactions are little understood. This is due in part to the large number of bacteria, and the much larger number of interactions (easily in the millions), making experimental investigation very difficult at best and necessitating the nascent field of computational exploration through microbial correlation networks. We benchmark the performance of eight correlation techniques on simulated and real data in response to challenges specific to microbiome studies: fractional sampling of ribosomal RNA sequences, uneven sampling depths, rare microbes and a high proportion of zero counts. Also tested is the ability to distinguish signals from noise, and detect a range of ecological and time-series relationships. Finally, we provide specific recommendations for correlation technique usage. Although some methods perform better than others, there is still considerable need for improvement in current techniques.
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              Microbiota-Brain-Gut Axis and Neurodegenerative Diseases.

              The purposes of this review were as follows: first, to provide an overview of the gut microbiota and its interactions with the gut and the central nervous system (the microbiota-gut-brain axis) in health, second, to review the relevance of this axis to the pathogenesis of neurodegenerative diseases, such as Parkinson's disease, and, finally, to assess the potential for microbiota-targeted therapies.
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                Author and article information

                Contributors
                Robert.Li@ARS.USDA.GOV
                vmartinezcerdeno@ucdavis.edu
                Journal
                Mol Autism
                Mol Autism
                Molecular Autism
                BioMed Central (London )
                2040-2392
                10 December 2018
                10 December 2018
                2018
                : 9
                : 61
                Affiliations
                [1 ]ISNI 0000 0001 2152 3263, GRID grid.4422.0, College of Food Science and Engineering, , Ocean University of China, ; Qingdao, China
                [2 ]ISNI 0000 0004 0449 5792, GRID grid.415852.f, Institute for Pediatric Regenerative Medicine and Shriners Hospitals for Children Northern California, ; 2504 Stockton Blvd, Sacramento, CA 95817 USA
                [3 ]United States Department of Agriculture, Agriculture Research Service (USDA-ARS), Animal Genomics and Improvement Laboratory, Beltsville, MD USA
                [4 ]ISNI 0000 0004 1936 9684, GRID grid.27860.3b, Department of Pathology and Laboratory Medicine, , UC Davis School of Medicine, ; Sacramento, CA USA
                [5 ]ISNI 0000 0004 1936 9684, GRID grid.27860.3b, MIND Institute, ; Sacramento, CA USA
                Author information
                http://orcid.org/0000-0002-9613-3603
                Article
                251
                10.1186/s13229-018-0251-3
                6288876
                30555669
                9f1c1d2e-639e-4380-93c3-8d23da1df20a
                © The Author(s). 2018

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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.

                History
                : 17 July 2018
                : 26 November 2018
                Funding
                Funded by: National Institute of Mental Health (US)
                Award ID: MH094681
                Award Recipient :
                Funded by: Shriners Hospitals
                Categories
                Research
                Custom metadata
                © The Author(s) 2018

                Neurosciences
                Neurosciences

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