Using 16S rDNA and metagenomic sequencing technology to analyze the fecal microbiome of children with avoidant/restrictive food intake disorder
Qina Ye; Shaodan Sun; Jian Deng; Xiaogang Chen; Jing Zhang; Suihua Lin; Hongxuan Du; Jinxiong Gao · 2023 · Scientific Reports
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract
Abstract To investigate the gut microbiota distribution and its functions in children with avoidant/restrictive food intake disorder (ARFID). A total of 135 children were enrolled in the study, including 102 children with ARFID and 33 healthy children. Fecal samples were analyzed to explore differences in gut microbiota composition and diversity and functional differences between the ARFID and healthy control (HC) groups via 16S rDNA and metagenomic sequencing. The gut microbiota composition and diversity in children with ARFID were different from those in heathy children, but there is no diff
Abstract by Qina Ye; Shaodan Sun; Jian Deng; Xiaogang Chen; Jing Zhang; Suihua Lin; Hongxuan Du; Jinxiong Gao, Scientific Reports (2023) — licensed CC BY 4.0.
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Metadata source: DOAJ · DOI 10.1038/s41598-023-47760-y