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Rapid Assessment of Microbiota Changes in Individuals with Autism Spectrum Disorder Using Bacteria-derived Membrane Vesicles in Urine

Title
Rapid Assessment of Microbiota Changes in Individuals with Autism Spectrum Disorder Using Bacteria-derived Membrane Vesicles in Urine
Authors
Lee, YunjinPark, Jin-YoungLee, Eun-HwaYang, JinhoJeong, Bo-RiKim, Yoon-KeunSeoh, Ju-YoungLee, SoHyunHan, Pyung-LimKim, Eui-Jung
Ewha Authors
이소현서주영한평림김의정
SCOPUS Author ID
이소현scopus; 서주영scopusscopus; 한평림scopus; 김의정scopusscopus
Issue Date
2017
Journal Title
EXPERIMENTAL NEUROBIOLOGY
ISSN
1226-2560JCR Link

2093-8144JCR Link
Citation
EXPERIMENTAL NEUROBIOLOGY vol. 26, no. 5, pp. 307 - 317
Keywords
Autism spectrum disordergut microbiotaExtracellular membrane vesiclesBacteria-derived EVsurine marker
Publisher
KOREAN SOC BRAIN &

NEURAL SCIENCE, KOREAN SOC NEURODEGENERATIVE DISEASE
Indexed
SCIE; SCOPUS; KCI WOS scopus
Document Type
Article
Abstract
Individuals with autism spectrum disorder (ASD) have altered gut microbiota, which appears to regulate ASD symptoms via gut microbiota-brain interactions. Rapid assessment of gut microbiota profiles in ASD individuals in varying physiological contexts is important to understanding the role of the microbiota in regulating ASD symptoms. Microbiomes secrete extracellular membrane vesicles (EVs) to communicate with host cells and secreted EVs are widely distributed throughout the body including the blood and urine. In the present study, we investigated whether bacteria-derived EVs in urine are useful for the metagenome analysis of microbiota in ASD individuals. To address this, bacterial DNA was isolated from bacteria-derived EVs in the urine of ASD individuals. Subsequent metagenome analysis indicated markedly altered microbiota profiles at the levels of the phylum, class, order, family, and genus in ASD individuals relative to control subjects. Microbiota identified from urine EVs included gut microbiota reported in previous studies and their up-and down-regulation in ASD individuals were partially consistent with microbiota profiles previously assessed from ASD fecal samples. However, overall microbiota profiles identified in the present study represented a distinctive microbiota landscape for ASD. Particularly, the occupancy of g_Pseudomonas, g_Sphingomonas, g_Agrobacterium, g_Achromobacter, and g_Roseateles decreased in ASD, whereas g_Streptococcus, g_Akkermansia, g_Rhodococcus, and g_Halomonas increased. These results demonstrate distinctively altered gut microbiota profiles in ASD, and validate the utilization of urine EVs for the rapid assessment of microbiota in ASD.
DOI
10.5607/en.2017.26.5.307
Appears in Collections:
사범대학 > 특수교육과 > Journal papers
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