Evidence map›Paper›PMID 29093639›Full record

ArticleExperimental neurobiology2017

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

Yunjin Lee, Jin-Young Park, Eun-Hwa Lee, Jinho Yang, Bo-Ri Jeong, Yoon-Keun Kim, Ju-Young Seoh, SoHyun Lee, Pyung-Lim Han, Eui-Jung Kim

Open access · bronzeAbstract read
In one paragraph

Article in Experimental neurobiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed, 3 pooled it
7.6field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

44 citing papers in PubMed, 3 syntheses or guidelines pooled it, 64 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Guideline
  4. Effects ofNutrients · 2021
    Trial
  5. Review
  6. Review
  7. Article
  8. Article
  9. IntratumoralAnimals : an open access journal from MDPI · 2026
    Article
  10. Review
  11. Experimental neurobiology · 2025
    Article
  12. Review
  13. Article
  14. Review
  15. Review
  16. Review
  17. Review
  18. Review
  19. Article
  20. Potential ofFrontiers in microbiology · 2023
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 1 institution in 1 country.

Yunjin LeeDepartment of Brain and Cognitive Sciences, Ewha Womans University, Seoul 03760, Korea.
Jin-Young ParkDepartment of Brain and Cognitive Sciences, Ewha Womans University, Seoul 03760, Korea.
Eun-Hwa LeeDepartment of Brain and Cognitive Sciences, Ewha Womans University, Seoul 03760, Korea.
Jinho YangMD Healthcare Inc., Seoul, Korea.
Bo-Ri JeongMD Healthcare Inc., Seoul, Korea.
Yoon-Keun KimMD Healthcare Inc., Seoul, Korea.
Ju-Young SeohDepartment of Microbiology, College of Medicine, Ewha Womans University, Seoul 07985, Korea.
SoHyun LeeDepartment of Special Education, Ewha Womans University, Seoul 03760, Korea.
Pyung-Lim HanDepartment of Brain and Cognitive Sciences, Ewha Womans University, Seoul 03760, Korea.
Eui-Jung KimDepartment of Psychiatry, College of Medicine, Ewha Womans University, Seoul 07985, Korea.
Ewha Womans University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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

Indexed as

Autism spectrum disorderBacteria-derived EVsExtracellular membrane vesiclesgut microbiotaurine marker

Identifiers

PMID29093639
PMCPMC5661063
OpenAlexW2766448773

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.