Evidence map›Paper›PMID 26512904›Full record

ArticleThe Journal of asthma : official journal of the Association for the Care of Asthma2015

Home dust microbiota is disordered in homes of low-income asthmatic children.

Christina E Ciaccio, Charles Barnes, Kevin Kennedy, Marcia Chan, Jay Portnoy, Lanny Rosenwasser

Abstract read
In one paragraph

Article in The Journal of asthma : official journal of the Association for the Care of Asthma, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 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

20 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. The Indoor Microbiome: Sampling, Analysis and Emerging Trends.Environmental microbiology reports · 2026
    Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. S3 guideline Allergy Prevention.Allergologie select · 2022
    Article
  9. Article
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  16. Article
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  20. Breathing Better Through Bugs: Asthma and the Microbiome.The Yale journal of biology and medicine · 2016
    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

6 authors.

Christina E Ciaccioa Department of Pediatrics and the Center for Environmental Health , Children's Mercy Hospital , Kansas City , MO , USA.
Charles Barnesa Department of Pediatrics and the Center for Environmental Health , Children's Mercy Hospital , Kansas City , MO , USA.
Kevin Kennedya Department of Pediatrics and the Center for Environmental Health , Children's Mercy Hospital , Kansas City , MO , USA.
Marcia Chana Department of Pediatrics and the Center for Environmental Health , Children's Mercy Hospital , Kansas City , MO , USA.
Jay Portnoya Department of Pediatrics and the Center for Environmental Health , Children's Mercy Hospital , Kansas City , MO , USA.
Lanny Rosenwassera Department of Pediatrics and the Center for Environmental Health , Children's Mercy Hospital , Kansas City , MO , USA.

Funding

Heartland Institute for Clinical and Translational ResearchKL2TR000119 · NCATS · UNIVERSITY OF KANSAS MEDICAL CENTER · PI BAROHN, RICHARD J. · 2012 to 2015
$2.5M
NCATS NIH HHS KL2 TR000119
6 · The paper itself

Abstract

objectiveExposure to microorganisms has repeatedly been found to influence development of atopic diseases, such as asthma. Innovative techniques have been developed that can comprehensively characterize microbial communities. The objective of this study was to characterize the home microbiota of asthmatic children utilizing 16S rRNA-based phylogenetic analysis by microarray.

methodsIn this cross-sectional study, DNA was extracted from home dust and bacterial 16S rRNA genes amplified. Bacterial products were hybridized to the PhyloChip Array and scanned using a GeneArray scanner (Affymetrix, Santa Clara, CA). The Adonis test was used to determine significant differences in the whole microbiome. Welch's t-test was used to determine significant abundance differences and genus-level richness differences.

resultsNineteen homes were included in the analysis (14 asthma and five no asthma). About 1741 operational taxonomic units (OTUs) were found in at least one sample. Bacterial genus richness did not differ in the homes of asthmatics and non-asthmatics (p = 0.09). The microbial profile was significantly different between the two groups (p = 0.025). All the top 12 OTUs with significant abundance differences were increased in homes of asthmatics and belonged to one of the five phyla (p = 0.001 to p = 7.2 × 10(-6)). Nearly half of significant abundance differences belonged to the phylum Cyanobacteria or Proteobacteria.

conclusionsThese results suggest that home dust has a characteristic microbiota which is disturbed in the homes of asthmatics, resulting in a particular abundance of Cyanobacteria and Proteobacteria. Further investigations are needed which utilize high-throughput technology to further clarify how home microbial exposures influence human health and disease.

Indexed as

HousingPovertyAsthmaBacteriaChildChild, PreschoolCross-Sectional StudiesDustFemaleGenes, BacterialHumansMaleMicrobiotaPhylogenyProtein Array AnalysisRNA, Ribosomal, 16SDustRNA, Ribosomal, 16SBuilt environmentcyanobacteriadamp environmentsmicrobiomepediatrics

Identifiers

PMID26512904
PMCPMC4807694

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Registered trials

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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.