Evidence map›Paper›PMID 34589774›Full record

ArticleBrain, behavior, & immunity - health2021

Mucosa-associated specific bacterial species disrupt the intestinal epithelial barrier in the autism phenome.

Swati Agarwala, Bindushree Naik, Nallur B Ramachandra

Abstract read
In one paragraph

Article in Brain, behavior, & immunity - health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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

19 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Microbiota in Autism Spectrum Disorder: A Systematic Review.International journal of molecular sciences · 2023
    Pooled it
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  15. Bimodal distribution of intestinalGut microbes reports · 2024
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  18. Observational
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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

3 authors.

Swati AgarwalaDepartment of Studies in Genetics and Genomics, University of Mysore, Manasagangotri, Mysuru, India.
Bindushree NaikDepartment of Studies in Genetics and Genomics, University of Mysore, Manasagangotri, Mysuru, India.
Nallur B RamachandraDepartment of Studies in Genetics and Genomics, University of Mysore, Manasagangotri, Mysuru, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gut-Brain Axis provides a bidirectional communicational route, an imbalance of which can have pathophysiological consequences. Differential gut microbiome studies have become a frontier in autism research, affecting 85% of autistic children. The present study aims to understand how gut microbiota of autism subjects differ from their neurotypical counterparts. This study would help to identify the abundance of bacterial signature species in autism and their associated metabolites. 16S rRNA metagenomic sequence datasets of 30 out of 206 autism subjects were selected from the American Gut Project Archive. First, the taxonomic assignment was inferred by similarity-based methods using the Quantitative Insights into Microbial Ecology (QIIME) toolkit. Next, species abundance was characterized, and a co-occurrence network was built to infer species interaction using measures of diversity. Thirdly, statistical parameters were incorporated to validate the findings. Finally, the identification of metabolites associated with these bacterial signature species connects with biological processes in the host through pathway analysis. Gut microbiome data revealed

Indexed as

16S rRNA sequencingAutism phenomeBehavior reversalGut microbiomemeta-AnalysisOperational taxonomic units (OTUs)

Identifiers

PMID34589774
PMCPMC8474478

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.