Evidence map›Paper›PMID 31046835›Full record

ArticleMicrobiome2019

Longitudinal homogenization of the microbiome between both occupants and the built environment in a cohort of United States Air Force Cadets.

Anukriti Sharma, Miles Richardson, Lauren Cralle, Christopher E Stamper, Juan P Maestre, Kelly A Stearns-Yoder, Teodor T Postolache, Katherine L Bates, Kerry A Kinney, Lisa A Brenner and 3 more

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 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
–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

30 citing papers in PubMed.

  1. Applied and environmental microbiology · 2026
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  6. The indoors microbiome and human health.Nature reviews. Microbiology · 2024
    Review
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  16. Microbiome-associated human genetic variants impact phenome-wide disease risk.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
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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

13 authors.

Anukriti SharmaDepartment of Pediatrics and Scripps Institution of Oceanography, University of California San Diego, La Jolla, CA, 92037, USA.
Miles RichardsonDepartment of Pediatrics and Scripps Institution of Oceanography, University of California San Diego, La Jolla, CA, 92037, USA.
Lauren CralleDepartment of Pediatrics and Scripps Institution of Oceanography, University of California San Diego, La Jolla, CA, 92037, USA.
Christopher E StamperDepartment of Integrative Physiology, University of Colorado Boulder, Boulder, CO, 80309, USA.
Juan P MaestreDepartment of Civil, Architectural and Environmental Engineering, University of Texas Austin, Austin, TX, 78712, USA.
Kelly A Stearns-YoderDepartment of Physical Medicine and Rehabilitation, University of Colorado Anschutz Medical Campus, Aurora, CO, 80045, USA.
Teodor T PostolacheVeterans Health Administration, Rocky Mountain Mental Illness Research Education and Clinical Center (MIRECC), Denver Veterans Affairs Medical Center (VAMC), Denver, CO, 80220, USA.
Katherine L BatesMilitary and Veteran Microbiome Consortium for Research and Education (MVM-CoRE), Denver, CO, 80220, USA.
Kerry A KinneyDepartment of Civil, Architectural and Environmental Engineering, University of Texas Austin, Austin, TX, 78712, USA.
Lisa A BrennerDepartment of Physical Medicine and Rehabilitation, University of Colorado Anschutz Medical Campus, Aurora, CO, 80045, USA.
Christopher A LowryDepartment of Integrative Physiology, University of Colorado Boulder, Boulder, CO, 80309, USA.
Jack A GilbertDepartment of Pediatrics and Scripps Institution of Oceanography, University of California San Diego, La Jolla, CA, 92037, USA.
Andrew J HoisingtonVeterans Health Administration, Rocky Mountain Mental Illness Research Education and Clinical Center (MIRECC), Denver Veterans Affairs Medical Center (VAMC), Denver, CO, 80220, USA. andrew.hoisington@us.af.mil.ORCID 0000-0001-5773-7765

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe microbiome of the built environment has important implications for human health and wellbeing; however, bidirectional exchange of microbes between occupants and surfaces can be confounded by lifestyle, architecture, and external environmental exposures. Here, we present a longitudinal study of United States Air Force Academy cadets (n = 34), which have substantial homogeneity in lifestyle, diet, and age, all factors that influence the human microbiome. We characterized bacterial communities associated with (1) skin and gut samples from roommate pairs, (2) four built environment sample locations inside the pairs' dormitory rooms, (3) four built environment sample locations within shared spaces in the dormitory, and (4) room-matched outdoor samples from the window ledge of their rooms.

resultsWe analyzed 2,170 samples, which generated 21,866 unique amplicon sequence variants. Linear convergence of microbial composition and structure was observed between an occupants' skin and the dormitory surfaces that were only used by that occupant (i.e., desk). Conversely, bacterial community beta diversity (weighted Unifrac) convergence between the skin of both roommates and the shared dormitory floor between the two cadet's beds was not seen across the entire study population. The sampling period included two semester breaks in which the occupants vacated their rooms; upon their return, the beta diversity similarity between their skin and the surfaces had significantly decreased compared to before the break (p < 0.05). There was no apparent convergence between the gut and building microbiota, with the exception of communal bathroom door-handles, which suggests that neither co-occupancy, diet, or lifestyle homogenization had a significant impact on gut microbiome similarity between these cadets over the observed time frame. As a result, predictive classifier models were able to identify an individual more accurately based on the gut microbiota (74%) compared to skin (51%).

conclusionsTo the best of our knowledge, this is the first study to show an increase in skin microbial similarity of two individuals who start living together for the first time and who are not genetically related or romantically involved. Cohabitation was significantly associated with increased skin microbiota similarity but did not significantly influence the gut microbiota. Following a departure from the occupied space of several weeks, the skin microbiota, but not the gut microbiota, showed a significant reduction in similarity relative to the building. Overall, longitudinal observation of these dynamics enables us to dissect the influence of occupation, diet, and lifestyle factors on occupant and built environment microbial ecology.

Indexed as

Built EnvironmentEnvironmental MicrobiologyHousingMicrobiotaMilitary PersonnelBacteriaCohort StudiesDietFemaleGastrointestinal MicrobiomeHumansLongitudinal StudiesMaleRNA, Ribosomal, 16SSkinUnited StatesRNA, Ribosomal, 16SDormitoriesGut microbiomeHuman microbiomeLongitudinal homogenizationMicrobiome of the Built EnvironmentRoommates

Identifiers

PMID31046835
PMCPMC6498636

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.