Evidence map›Paper›PMID 20965804›Full record

ArticleEnvironmental health perspectives2011

Home characteristics as predictors of bacterial and fungal microbial biomarkers in house dust.

Joanne E Sordillo, Udeni K Alwis, Elaine Hoffman, Diane R Gold, Donald K Milton

Abstract read
In one paragraph

Article in Environmental health perspectives, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

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

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. Article
  9. Quantitative assessment of microbes from samples of indoor air and dust.Journal of exposure science & environmental epidemiology · 2018
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Pediatric Asthma and the Indoor Microbial Environment.Current environmental health reports · 2016
    Review
  15. Article
  16. Article
  17. Asthma and allergy development: contrasting influences of yeasts and other fungal exposures.Clinical and experimental allergy : journal of the British Society for Allergy and Clinical Immunology · 2015
    Article
  18. Review
  19. Review
  20. 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

5 authors.

Joanne E SordilloChanning Laboratory, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts 02115, USA. rejoa@channing.harvard.edu
Udeni K Alwis
Elaine Hoffman
Diane R Gold
Donald K Milton

Funding

The Epidemiology of Home Allergens and AsthmaR01AI035786 · NIAID · BRIGHAM AND WOMEN'S HOSPITAL · PI GOLD, DIANE R · 1994 to 2010
$9.5M
HOME ENDOTOXIN AND CHILDHOOD ASTHMAR01ES007036 · NIEHS · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI MILTON, DONALD KIRBY · 1995 to 2004
$1.6M
The Epidemiology of Home Allergens and AsthmaR56AI035786 · NIAID · BRIGHAM AND WOMEN'S HOSPITAL · PI GOLD, DIANE R · 2011 to 2011
$486k
Home Endotoxin and Childhood AsthmaR56ES007036 · NIEHS · UNIVERSITY OF MASSACHUSETTS LOWELL · PI MILTON, DONALD KIRBY · 2006 to 2006
$191k
NIAID NIH HHS AI/EHS35786NIEHS NIH HHS R01 ES007036NIEHS NIH HHS R56 ES007036
6 · The paper itself

Abstract

backgroundMeasurement of fungal and bacterial biomarkers can be costly, but it is not clear whether home characteristics can be used as a proxy of these markers, particularly if the purpose is to differentiate specific classes of biologic exposures that have similar sources but may have different effects on allergic disease risk.

objectiveWe evaluated home characteristics as predictors of multiple microbial biomarkers, with a focus on common and unique determinants and with attention to the extent of their explanatory ability.

methodsIn 376 Boston-area homes enrolled in a cohort study of home exposures and childhood asthma, we assessed the relationship between home characteristics gathered by questionnaire and measured gram-negative bacteria (GNB) (endotoxin and C10:0, C12:0, and C14:0 3-hydroxy fatty acids), gram-positive bacteria (GPB) (N-acetyl muramic acid), and fungal biomarkers [ergosterol and (1→6) branched, (1→3) β-D glucans] in bed and family room dust.

resultsHome characteristics related to dampness were significant predictors of all microbial exposures; water damage or visible mold/mildew in the home was associated with a 20-66% increase in GNB levels. Report of cleaning the bedroom at least once a week was associated with reduced GNB, GPB, and fungi. Presence of dogs or cats predicted increases in home bacteria or fungi. The proportion of variance in microbial biomarkers explained by home characteristics ranged from 4.2% to 19.0%.

conclusionsDespite their associations with multiple microbial flora, home characteristics only partially explain the variability in microbial biomarker levels and cannot substitute for specific microbial measurements in studies concerned with distinguishing effects of specific classes of microbes.

Indexed as

AnimalsCatsDogsDustFungiGram-Negative BacteriaGram-Positive BacteriaHumidityDust

Identifiers

PMID20965804
PMCPMC3040605

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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.