Evidence map›Paper›PMID 26851966›Full record

ArticleThe Journal of allergy and clinical immunology2016

Indoor microbial communities: Influence on asthma severity in atopic and nonatopic children.

Karen C Dannemiller, Janneane F Gent, Brian P Leaderer, Jordan Peccia

Abstract read
In one paragraph

Article in The Journal of allergy and clinical immunology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
65citing 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

65 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. Trial
  3. Article
  4. Article
  5. Article
  6. Article
  7. Indoor and Outdoor Fungal Allergens and Impacts on Respiratory Allergic Disease.The journal of allergy and clinical immunology. In practice · 2025
    Review
  8. Indoor allergen exposure in relation to sleep health among US adults.The journal of allergy and clinical immunology. Global · 2025
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Metagenomics reveals novel microbial signatures of farm exposures in house dust.medRxiv : the preprint server for health sciences · 2023
    Article
  20. PersistingFrontiers in cellular and infection microbiology · 2023
    Article

5 more citing papers are in PubMed but not listed here.

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

4 authors.

Karen C DannemillerDepartment of Chemical and Environmental Engineering, Yale University, New Haven, Conn.
Janneane F GentYale Center for Perinatal, Pediatric and Environmental Epidemiology, Yale School of Public Health, New Haven, Conn.
Brian P LeadererYale Center for Perinatal, Pediatric and Environmental Epidemiology, Yale School of Public Health, New Haven, Conn.
Jordan PecciaDepartment of Chemical and Environmental Engineering, Yale University, New Haven, Conn. Electronic address: Jordan.Peccia@Yale.edu.

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Indoor and Outdoor NO2 and Asthma Severity in ChildrenR01ES005410 · NIEHS · YALE UNIVERSITY · PI LEADERER, BRIAN P · 1990 to 2009
$8.5M
NCATS NIH HHS UL1 TR001863NIEHS NIH HHS R01 ES005410
6 · The paper itself

Abstract

backgroundAllergic and nonallergic asthma severity in children can be affected by microbial exposures.

objectiveWe sought to examine associations between exposures to household microbes and childhood asthma severity stratified by atopic status.

methodsParticipants (n = 196) were selected from a cohort of asthmatic children in Connecticut and Massachusetts. Children were grouped according to asthma severity (mild with no or minimal symptoms and medication or moderate to severe persistent) and atopic status (determined by serum IgE levels). Microbial community structure and concentrations in house dust were determined by using next-generation DNA sequencing and quantitative PCR. Logistic regression was used to explore associations between asthma severity and exposure metrics, including richness, taxa identification and quantification, community composition, and concentration of total fungi and bacteria.

resultsAmong all children, increased asthma severity was significantly associated with an increased concentration of summed allergenic fungal species, high total fungal concentrations, and high bacterial richness by using logistic regression in addition to microbial community composition by using the distance comparison t test. Asthma severity in atopic children was associated with fungal community composition (P = .001). By using logistic regression, asthma severity in nonatopic children was associated with total fungal concentration (odds ratio, 2.40; 95% CI, 1.06-5.44). The fungal genus Volutella was associated with increased asthma severity in atopic children (P = .0001, q = 0.04). The yeast genera Kondoa might be protective; Cryptococcus species might also affect asthma severity.

conclusionAsthma severity among this cohort of children was associated with microbial exposure, and associations differed based on atopic status.

Indexed as

Air MicrobiologyMicrobiotaAdolescentAir Pollution, IndoorAllergensAsthmaChildFemaleHumansHypersensitivityImmunoglobulin EMaleMetagenomeMetagenomicsOdds RatioRisk FactorsAllergensImmunoglobulin EAllergyasthma severityatopybacteriachildrenDNA sequencingfungiindoor environmentmicrobial communitiesnonallergic asthma

Identifiers

PMID26851966
PMCPMC5357886

What OpenQuestion holds

Textmetadata
LicenceTDM
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.