Evidence map›Paper›PMID 28704437›Full record

Observational studyPloS one2017

Impact of environmental microbiota on human microbiota of workers in academic mouse research facilities: An observational study.

Peggy S Lai, Joseph G Allen, Diane S Hutchinson, Nadim J Ajami, Joseph F Petrosino, Thomas Winters, Christopher Hug, Gary R Wartenberg, Jose Vallarino, David C Christiani

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
2.5field-weighted citation impact, top 12% of its field
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

25 citing papers in PubMed, 1 synthesis or guideline pooled it, 38 citations in OpenAlex.

  1. WORKbiota: A Systematic Review about the Effects of Occupational Exposure on Microbiota and Workers' Health.International journal of environmental research and public health · 2022
    Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Review
  9. Biodiversity Effects on Human Mental Health via Microbiota Alterations.International journal of environmental research and public health · 2022
    Review
  10. The Environmental Microbiome, Allergic Disease, and Asthma.The journal of allergy and clinical immunology. In practice · 2022
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Vertical Stratification in Urban Green Space Aerobiomes.Environmental health perspectives · 2020
    Article
  17. Article
  18. Review
  19. Article
  20. Impact of occupational exposure on human microbiota.Current opinion in allergy and clinical immunology · 2019
    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

10 authors at 3 institutions in 1 country.

Peggy S LaiDivision of Pulmonary and Critical Care, Massachusetts General Hospital, Boston, MA, United States of America.ORCID http://orcid.org/0000-0001-9501-8606
Joseph G AllenDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, United States of America.
Diane S HutchinsonAlkek Center for Metagenomics and Microbiome Research, Department of Molecular Virology and Microbiology, Baylor College of Medicine, Houston, TX, United States of America.
Nadim J AjamiAlkek Center for Metagenomics and Microbiome Research, Department of Molecular Virology and Microbiology, Baylor College of Medicine, Houston, TX, United States of America.
Joseph F PetrosinoAlkek Center for Metagenomics and Microbiome Research, Department of Molecular Virology and Microbiology, Baylor College of Medicine, Houston, TX, United States of America.
Thomas WintersDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, United States of America.
Christopher HugDivision of Pulmonary and Respiratory Diseases, Boston Children's Hospital, Boston, MA, United States of America.
Gary R WartenbergHarvard Medical School, Boston, MA, United States of America.
Jose VallarinoDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, United States of America.
David C ChristianiDivision of Pulmonary and Critical Care, Massachusetts General Hospital, Boston, MA, United States of America.
Harvard University · USBaylor College of Medicine · USBoston Children's Hospital · US

Funding

Translational Research Support CoreP30ES000002 · NIEHS · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI Marc G Weisskopf · 1985 to 2026
$44.6M
Training Program in Environmental EpidemiologyT32ES007069 · NIEHS · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI LADEN, FRANCINE · 1985 to 2024
$13.9M
Endotoxin, the airway transcriptome, and obstructive lung diseaseK23ES023700 · NIEHS · MASSACHUSETTS GENERAL HOSPITAL · PI LAI, PEGGY SUE · 2013 to 2017
$764k
NIEHS NIH HHS K23 ES023700NIEHS NIH HHS P30 ES000002NIEHS NIH HHS T32 ES007069NIOSH CDC HHS T42 OH008416
6 · The paper itself

Abstract

objectivesTo characterize the microbial environment of workers in academic mouse research facilities using endotoxin, 16S qPCR, and 16S amplicon sequencing. To determine whether the work microbiome contributes to the human microbiome of workers.

methodsWe performed area air sampling from the animal rooms, dirty, middle, and setup cage wash locations in four academic mouse research facilities. 10 workers in the dirty cage wash area underwent personal air sampling as well as repeated collection of nasal, oral, and skin samples before and after the work shift. Environmental samples underwent measurement of endotoxin, mouse allergen, bacteria copy number via 16S qPCR, and microbial identification via 16S rDNA sequencing. 16S rDNA sequencing was also performed on human samples before and after the work shift. SourceTracker was used to identify the contribution of the work microbiome to the human microbiome.

resultsMedian endotoxin levels ranged from undetectable to 1.0 EU/m3. Significant differences in mouse allergen levels, bacterial copy number, microbial richness, and microbial community structure were identified between animal, dirty, middle, and setup cage wash locations. Endotoxin levels had only a moderate correlation with microbial composition. Location within a facility was a stronger predictor of microbial community composition (R2 = 0.41, p = 0.002) than facility. The contribution of the work microbiome to the pre-shift human microbiome of workers was estimated to be 0.1 ± 0.1% for the oral microbiome; 3.1 ± 1.9% for the nasal microbiome; and 3.0 ± 1.5% for the skin microbiome.

conclusionsThe microbial environment of academic animal care facilities varies significantly by location rather than facility. Endotoxin is not a proxy for assessment of environmental microbial exposures using 16S qPCR or 16S rDNA sequencing. The work microbiome contributes to the composition of the nasal and skin microbiome of workers; the clinical implications of this observation should be further studied.

Indexed as

MicrobiotaAir Pollutants, OccupationalAnimalsAnimal TechniciansBacteriaDNA, BacterialEndotoxinsHumansMedical Laboratory PersonnelMiceMouthNoseOccupational ExposureRNA, Ribosomal, 16SSkinAir Pollutants, OccupationalDNA, BacterialEndotoxinsRNA, Ribosomal, 16S

Identifiers

PMID28704437
PMCPMC5509249
OpenAlexW2735442541

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.