Comparison of Fecal Microbiota in XXXX with @entity2438 Spectrum Disorders and Neurotypical Siblings in the Simons Simplex Collection.

@entity1 @entity2438 @entity344 @entity72 @entity74 @entity1142
UNASSIGNED: In order to assess potential associations between @entity72 ( @entity72 ) phenotype, functional @entity74 and fecal microbiota, we recruited simplex families, which had only a single @entity72 proband and neurotypical (NT) siblings, through the Simons Simplex Community at the Interactive @entity2438 Network (SSC@IAN). Fecal samples and metadata related to functional @entity74 and diet were collected from @entity72 probands and NT siblings of @entity72 probands (age 7-14). @entity344 ( @entity344 ) were assessed using the parent-completed ROME III questionnaire for pediatric FGIDs, and problem behaviors were assessed using the @entity1 Behavior Check List (CBCL). Targeted quantitative polymerase chain reaction (qPCR) assays were conducted on selected taxa implicated in @entity72 , including Sutterella spp., Bacteroidetes spp. and Prevotella spp. Illumina sequencing of the V1V2 and the V1V3 regions of the bacterial 16S rRNA genes from fecal DNA was performed to an average depth of 208,000 and 107,000 high-quality reads respectively. Twenty-five of 59 @entity72 @entity1 and 13 of 44 NT siblings met ROME III criteria for at least one @entity344 . Functional @entity1142 was more prevalent in @entity72 (17 of 59) compared to NT siblings (6 of 44, P = 0.035). The mean CBCL scores in NT siblings with @entity344 , @entity72 @entity1 with @entity344 and @entity72 without @entity344 were comparably higher (58-62 vs. 44, P < 0.0001) when compared to NT @entity1 without @entity344 . There was no significant difference in macronutrient intake between @entity72 and NT siblings. There was no significant difference in @entity72 severity scores between @entity72 @entity1 with and without @entity344 . No significant difference in diversity or overall microbial composition was detected between @entity72 @entity1 with NT siblings. Exploratory analysis of the 16S rRNA sequencing data, however, identified several low abundance taxa binned at the genus level that were associated with @entity72 and/or first order @entity72 * @entity344 interactions (FDR <0.1).
