Evidence map›Paper›PMID 31159879›Full record

ArticleMicrobiome2019

Concurrent measurement of microbiome and allergens in the air of bedrooms of allergy disease patients in the Chicago area.

Miles Richardson, Neil Gottel, Jack A Gilbert, Julian Gordon, Prasanthi Gandhi, Rachel Reboulet, Jarrad T Hampton-Marcell

Abstract read
In one paragraph

Article in Microbiome, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

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

  1. The Indoor Microbiome: Sampling, Analysis and Emerging Trends.Environmental microbiology reports · 2026
    Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. The indoors microbiome and human health.Nature reviews. Microbiology · 2024
    Review
  11. Review
  12. Review
  13. Article
  14. Article
  15. Review
  16. Article
  17. Measuring SARS-CoV-2 aerosolization in rooms of hospitalized patients.Laryngoscope investigative otolaryngology · 2022
    Article
  18. Article
  19. Article
  20. Type 2-high asthma is associated with a specific indoor mycobiome and microbiome.The Journal of allergy and clinical immunology · 2021
    Article
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

7 authors.

Miles RichardsonDepartment of Systems Biology, Columbia University, New York, NY, 10032, USA. miles.richardson@columbia.edu.ORCID 0000-0003-3004-1084
Neil GottelThe Microbiome Center, Department of Surgery, University of Chicago, Chicago, IL, 60637, USA.
Jack A GilbertThe Microbiome Center, Department of Surgery, University of Chicago, Chicago, IL, 60637, USA.
Julian GordonInspirotec Inc, 332 S. Michigan Avenue, Suite 10 32 #1248, Chicago, IL, 60604, USA.
Prasanthi GandhiInspirotec Inc, 332 S. Michigan Avenue, Suite 10 32 #1248, Chicago, IL, 60604, USA.
Rachel RebouletInspirotec Inc, 332 S. Michigan Avenue, Suite 10 32 #1248, Chicago, IL, 60604, USA.
Jarrad T Hampton-MarcellThe Microbiome Center, Department of Surgery, University of Chicago, Chicago, IL, 60637, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The particulate and biological components of indoor air have a substantial impact on human health, especially immune respiratory conditions such as asthma. To better explore the relationship between allergens, the microbial community, and the indoor living environment, we sampled the bedrooms of 65 homes in the Chicago area using 23the patient-friendly Inspirotec electrokinetic air sampling device, which collects airborne particles for characterization of both allergens and microbial DNA. The sampling device captured sufficient microbial material to enable 16S rRNA amplicon sequencing data to be generated for every sample in the study. Neither the presence of HEPA filters nor the height at which the air sampling device was placed had any influence on the microbial community profile. A core microbiota of 31 OTUs was present in more than three quarters of the samples, comprising around 45% of the relative sequence counts in each bedroom. The most abundant single organisms were Staphylococcus, with other core taxa both human and outdoor-associated. Bacterial alpha diversity was significantly increased in bedrooms that reported having open windows, those with flowering plants in the vicinity, and those in homes occupied by dogs. Porphyromonas, Moraxella, Sutterella, and Clostridium, along with family Neisseraceae, were significantly enriched in homes with dogs; interestingly, cats did not show a significant impact on microbial diversity or relative abundance. While dog allergen load was significantly correlated with bacterial alpha diversity, the taxa that significantly correlated with allergen burden did not exclusively overlap with those enriched in homes with dogs. Alternaria allergen load was positively correlated with bacterial alpha diversity, while Aspergillus allergen load was negatively correlated. The Alternaria allergen load was also significantly correlated with open windows. Microbial communities were significantly differentiated between rural, suburban, and urban homes and houses that were physically closer to each other maintained significantly more similar microbiota. We have demonstrated that it is possible to determine significant associations between allergen burden and the microbiota in air from the same sample and that these associations relate to the characteristics of the home and neighborhoods.

Indexed as

Air MicrobiologyHousingMicrobiotaAir Pollution, IndoorAllergensAnimalsAsthmaBacteriaCatsChicagoDogsDustEnvironmental MonitoringFungiHumansPetsAllergensDustRNA, Ribosomal, 16S

Identifiers

PMID31159879
PMCPMC6547563

What OpenQuestion holds

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LicenceCC BY
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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.