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      Gut Bacteria Regulate the Pathogenesis of Huntington’s Disease in Drosophila Model

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          Abstract

          Changes in the composition of gut microbiota are implicated in the pathogenesis of several neurodegenerative disorders. Here, we investigated whether gut bacteria affect the progression of Huntington’s disease (HD) in transgenic Drosophila melanogaster (fruit fly) models expressing full-length or N-terminal fragments of human mutant huntingtin (HTT) protein. We find that elimination of commensal gut bacteria by antibiotics reduces the aggregation of amyloidogenic N-terminal fragments of HTT and delays the development of motor defects. Conversely, colonization of HD flies with Escherichia coli ( E. coli), a known pathobiont of human gut with links to neurodegeneration and other morbidities, accelerates HTT aggregation, aggravates immobility, and shortens lifespan. Similar to antibiotics, treatment of HD flies with small compounds such as luteolin, a flavone, or crocin a beta-carotenoid, ameliorates disease phenotypes, and promotes survival. Crocin prevents colonization of E. coli in the gut and alters the levels of commensal bacteria, which may be linked to its protective effects. The opposing effects of E. coli and crocin on HTT aggregation, motor defects, and survival in transgenic Drosophila models support the involvement of gut-brain networks in the pathogenesis of HD.

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          Most cited references74

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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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            QIIME allows analysis of high-throughput community sequencing data.

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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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                Author and article information

                Contributors
                Journal
                Front Neurosci
                Front Neurosci
                Front. Neurosci.
                Frontiers in Neuroscience
                Frontiers Media S.A.
                1662-4548
                1662-453X
                02 June 2022
                2022
                : 16
                : 902205
                Affiliations
                [1] 1Biology and Bioengineering, California Institute of Technology (Caltech) , Pasadena, CA, United States
                [2] 2Developmental and Cell Biology, University of California, Irvine , Irvine, CA, United States
                Author notes

                Edited by: Frank Hirth, King’s College London, United Kingdom

                Reviewed by: Pedro Domingos, Universidade Nova de Lisboa, Portugal; Amber L. Southwell, University of Central Florida, United States

                *Correspondence: Ali Khoshnan, Khoshnan@ 123456caltech.edu

                This article was submitted to Neurodegeneration, a section of the journal Frontiers in Neuroscience

                Article
                10.3389/fnins.2022.902205
                9215115
                35757549
                e568cc55-6308-4b27-a123-e5c55af1923e
                Copyright © 2022 Chongtham, Yoo, Chin, Akingbesote, Huda, Marsh and Khoshnan.

                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
                : 22 March 2022
                : 12 May 2022
                Page count
                Figures: 7, Tables: 0, Equations: 0, References: 74, Pages: 15, Words: 10809
                Funding
                Funded by: Hereditary Disease Foundation, doi 10.13039/100001671;
                Funded by: Huntington's Disease Society of America, doi 10.13039/100000887;
                Categories
                Neuroscience
                Original Research

                Neurosciences
                huntington’s disease,microbiota,gut-brain,neurodegeneration,crocin (pubchem cid: 5281233)

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