Comparison of gut microbiota in autism spectrum disorders and neurotypical boys in China: A case-control study

World Health Organization, 2004 Cdc Hsiao, 2014, Gastrointestinal issues in autism spectrum disorder, Harv. Rev. Psychiatr., 22, 104, 10.1097/HRP.0000000000000029 McElhanon, 2014, Gastrointestinal symptoms in autism spectrum disorder: a meta-analysis, Pediatrics, 133, 872, 10.1542/peds.2013-3995 Martin, 2018, The brain-gut-microbiome Axis, Cell Mol. Gastroenterol. Hepatol., 6, 133, 10.1016/j.jcmgh.2018.04.003 Xu, 2019, Association between gut microbiota and autism spectrum disorder: a systematic review and meta-analysis, Front Psychiatr, 10, 473, 10.3389/fpsyt.2019.00473 Son, 2015, Comparison of fecal microbiota in children with autism spectrum disorders and neurotypical siblings in the simons simplex collection, PloS One, 10, E0137725, 10.1371/journal.pone.0137725 Fattorusso, 2019, Autism spectrum disorders and the gut microbiota, Nutrients, 11, 521, 10.3390/nu11030521 Bermon, 2015, The microbiota: an exercise immunology perspective, Exerc Immunol Rev, 21, 70 Di Mauro, 2013, Gastrointestinal function development and microbiota, Ital J Pediatr, 39, 15, 10.1186/1824-7288-39-15 Lopez, 2014, Collateral damage: microbiota-derived metabolites and immune function in the antibiotic era, Cell Host Microbe, 16, 156, 10.1016/j.chom.2014.07.009 Niehus, 2006, Early medical history of children with autism spectrum disorders, J Dev Behav Pediatr, 27, S120, 10.1097/00004703-200604002-00010 Finegold, 2010, Pyrosequencing study of fecal microflora of autistic and control children, Anaerobe, 16, 444, 10.1016/j.anaerobe.2010.06.008 Williams, 2012, Application of novel PCR-based methods for detection, quantification, and phylogenetic characterization of Sutterella species in intestinal biopsy samples from children with autism and gastrointestinal disturbances, mBio, 3, e00261, 10.1128/mBio.00261-11 Hudziak, 2012, Proposed criteria for autism spectrum disorder in the DSM-5, J Am Acad Child Adolesc Psychiatry, 51, 343, 10.1016/j.jaac.2012.02.014 Edwards, 1989, Isolation and direct complete nucleotide determination of entire genes. Characterization of a gene coding for 16S ribosomal RNA, Nucleic Acids Res, 17, 7843, 10.1093/nar/17.19.7843 Fierer, 2008, The influence of sex, handedness, and washing on the diversity of hand surface bacteria, Proc Natl Acad Sci USA, 105, 17994, 10.1073/pnas.0807920105 Franzosa, 2014, Relating the metatranscriptome and metagenome of the human gut[J], Proc Natl Acad Sci U S A, 111, E2329, 10.1073/pnas.1319284111 Van Rossum, 2020, Diversity within species: interpreting strains in microbiomes, Nat Rev Microbiol, 18, 491, 10.1038/s41579-020-0368-1 Mehta, 2017, Comparison between magnetic bead and qPCR library normalisation methods for forensic MPS genotyping[J], Int J Leg Med, 132, 1 Kultima, 2012, MOCAT: a metagenomics assembly and gene prediction toolkit[J], PloS One, 7, 10.1371/journal.pone.0047656 Luo, 2012, SOAPdenovo2: an empirically improved memory-efficient short-read de novo assembler[J], GigaScience, 1, 18, 10.1186/2047-217X-1-18 Caporaso, 2010, QIIME allows analysis of high-throughput community sequencing data, Nat Methods, 7, 335, 10.1038/nmeth.f.303 Wolpert, 1999, An efficient method to estimate bagging's generalization error[J], Mach Learn, 35, 41, 10.1023/A:1007519102914 Breiman, 2001, Random forests, Mach Learn, 45, 5, 10.1023/A:1010933404324 Liaw, 2002, Classification and regression by random forest, R News, 2, 18 Finegold, 2002, vol. 35, S6 Song, 2004, Real-time PCR quantitation of clostridia in feces of autistic children, Appl Environ Microbiol, 70, 6459, 10.1128/AEM.70.11.6459-6465.2004 Parracho, 2005, Differences between the gut microflora of children with autistic spectrum disorders and that of healthy children, J Med Microbiol, 54, 987, 10.1099/jmm.0.46101-0 Kang, 2013, Reduced incidence of Prevotella and other fermenters in intestinal microflora of autistic children, PloS One, 8 Inoue, 2016, A preliminary investigation on the relationship between gut microbiota and gene expressions in peripheral mononuclear cells of infants with autism spectrum disorders, Biosci Biotechnol Biochem, 80, 2450, 10.1080/09168451.2016.1222267 Goines, 2011, Increased mid gestational IFN-, IL-4 and IL-5 in women bearing a child with autism:A case-control study, Mol Autism, 2, 13, 10.1186/2040-2392-2-13 Shatz, 2009, MHC class I: an unexpected role in neuronal plasticity, Neuron, 64, 40, 10.1016/j.neuron.2009.09.044 Kang, 2017, Microbiota Transfer Therapy alters gut ecosystem and improves gastrointestinal and autism symptoms: an open-label study, Microbiome, 5, 10, 10.1186/s40168-016-0225-7 Srikantha, 2019, The possible role of the microbiota-gut-brain-axis in autism spectrum disorder, Int J Mol Sci, 20, 2115, 10.3390/ijms20092115 Shen, 2013, Modeling the glutamate-glutamine neurotransmitter cycle, Front Neuroenergetics, 5, 1, 10.3389/fnene.2013.00001 Horder, 2018, Glutamate and GABA in autism spectrum disorder-a translational magnetic resonance spectroscopy study in man and rodent models, Transl Psychiatry, 8, 106, 10.1038/s41398-018-0155-1 Scheiman, 2019, Meta-omics analysis of elite athletes identifies a performance-enhancing microbe that functions via lactate metabolism, Nat Med, 25, 1104, 10.1038/s41591-019-0485-4 Ansaldo, 2019, Akkermansia muciniphila induces intestinal adaptive immune responses during homeostasis, Science, 364, 1179, 10.1126/science.aaw7479 Zhai, 2019, A next generation probiotic, Akkermansia muciniphila, Crit Rev Food Sci Nutr, 59, 3227, 10.1080/10408398.2018.1517725 Kurmasheva, 2018, The potential virulence factors of Providencia stuartii: motility, adherence, and invasion, BioMed Res Int, 3589135 Coretti, 2018, Gut microbiota features in young children with autism spectrum disorders, Front Microbiol, 9, 3146, 10.3389/fmicb.2018.03146 Xu, 2019, Association between gut microbiota and autism spectrum disorder: a systematic review and meta-analysis, Front Psychiatr, 10, 473, 10.3389/fpsyt.2019.00473 Rodríguez-Medina, 2019, Klebsiella variicola: an emerging pathogen in humans, Emerg Microb Infect, 8, 973, 10.1080/22221751.2019.1634981