Evidence map›Paper›PMID 27599587›Full record

ArticleEnvironmental science & technology2016

Antimicrobial Chemicals Are Associated with Elevated Antibiotic Resistance Genes in the Indoor Dust Microbiome.

Erica M Hartmann, Roxana Hickey, Tiffany Hsu, Clarisse M Betancourt Román, Jing Chen, Randall Schwager, Jeff Kline, G Z Brown, Rolf U Halden, Curtis Huttenhower and 1 more

Open access · greenAbstract read
In one paragraph

Article in Environmental science & technology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 68 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
68citing papers in PubMed, 2 pooled it
8.6field-weighted citation impact, top 2% 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

68 citing papers in PubMed, 2 syntheses or guidelines pooled it, 171 citations in OpenAlex.

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  19. The indoors microbiome and human health.Nature reviews. Microbiology · 2024
    Review
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8 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

11 authors at 3 institutions in 1 country.

Erica M Hartmann
Roxana Hickey
Tiffany HsuDepartment of Biostatistics, Harvard T.H. Chan School of Public Health , Boston, Massachusetts 02115, United States.
Clarisse M Betancourt Román
Jing ChenBiodesign Center for Environmental Security and Global Security Initiative, The Biodesign Institute, Arizona State University , Tempe, Arizona 85287, United States.
Randall SchwagerDepartment of Biostatistics, Harvard T.H. Chan School of Public Health , Boston, Massachusetts 02115, United States.
Jeff Kline
G Z Brown
Rolf U HaldenBiodesign Center for Environmental Security and Global Security Initiative, The Biodesign Institute, Arizona State University , Tempe, Arizona 85287, United States.
Curtis HuttenhowerDepartment of Biostatistics, Harvard T.H. Chan School of Public Health , Boston, Massachusetts 02115, United States.
Jessica L Green
University of Oregon · USHarvard University · USArizona State University · US

Funding

In Situ Sampling Tool for Assessing Bioavailability and Toxicity of SedimentsR01ES020889 · NIEHS · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI DENSLOW, NANCY D, HALDEN, ROLF U · 2011 to 2013
$874k
NIEHS NIH HHS R01 ES020889
6 · The paper itself

Abstract

Antibiotic resistance is increasingly widespread, largely due to human influence. Here, we explore the relationship between antibiotic resistance genes and the antimicrobial chemicals triclosan, triclocarban, and methyl-, ethyl-, propyl-, and butylparaben in the dust microbiome. Dust samples from a mixed-use athletic and educational facility were subjected to microbial and chemical analyses using a combination of 16S rRNA amplicon sequencing, shotgun metagenome sequencing, and liquid chromatography tandem mass spectrometry. The dust resistome was characterized by identifying antibiotic resistance genes annotated in the Comprehensive Antibiotic Resistance Database (CARD) from the metagenomes of each sample using the Short, Better Representative Extract Data set (ShortBRED). The three most highly abundant antibiotic resistance genes were tet(W), blaSRT-1, and erm(B). The complete dust resistome was then compared against the measured concentrations of antimicrobial chemicals, which for triclosan ranged from 0.5 to 1970 ng/g dust. We observed six significant positive associations between the concentration of an antimicrobial chemical and the relative abundance of an antibiotic resistance gene, including one between the ubiquitous antimicrobial triclosan and erm(X), a 23S rRNA methyltransferase implicated in resistance to several antibiotics. This study is the first to look for an association between antibiotic resistance genes and antimicrobial chemicals in dust.

Indexed as

Anti-Infective AgentsAnti-Bacterial AgentsDrug Resistance, MicrobialDustHumansMicrobiotaRNA, Ribosomal, 16SAnti-Bacterial AgentsAnti-Infective AgentsDustRNA, Ribosomal, 16S

Identifiers

PMID27599587
PMCPMC5032049
OpenAlexW2517654658

What OpenQuestion holds

Textmetadata
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.