Evidence map›Paper›PMID 24413286›Full record

ArticleEnvironmental health perspectives2014

Arsenic exposure perturbs the gut microbiome and its metabolic profile in mice: an integrated metagenomics and metabolomics analysis.

Kun Lu, Ryan Phillip Abo, Katherine Ann Schlieper, Michelle E Graffam, Stuart Levine, John S Wishnok, James A Swenberg, Steven R Tannenbaum, James G Fox

Open access · diamondAbstract read
In one paragraph

Article in Environmental health perspectives, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 214 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
214citing papers in PubMed, 3 pooled it
15.7field-weighted citation impact, top 1% 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

214 citing papers in PubMed, 3 syntheses or guidelines pooled it, 513 citations in OpenAlex.

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  13. Shared urinary metabolomic signatures as potential biomarkers for early intestinalCurrent research in parasitology & vector-borne diseases · 2026
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154 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 2 institutions in 1 country.

Kun LuDepartment of Biological Engineering.
Ryan Phillip Abo
Katherine Ann Schlieper
Michelle E Graffam
Stuart Levine
John S Wishnok
James A Swenberg
Steven R Tannenbaum
James G Fox
Massachusetts Institute of Technology · USUniversity of North Carolina at Chapel Hill · US

Funding

STOCHASTIC ANALYSIS OF FLOW AND TRANSPORT PHENOMENAP42ES005948 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI FRY, REBECCA · 1992 to 2017
$45.4M
UNC-CH CENTER FOR ENVIRONMENTAL HEALTH &SUSCEPTIBILITYP30ES010126 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Melissa A. Troester · 2001 to 2026
$36.3M
TOXICOLOGY CORE UNITP30ES002109 · NIEHS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI LEVINE, STUART S · 1985 to 2020
$25.6M
Diagnosis and Pathobiology of Emerging Enterohepatic Helicobacter spp. in MiceR01OD011141 · OD · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI FOX, JAMES G · 2012 to 2014
$1.2M
NIEHS NIH HHS P30 ES002109NIEHS NIH HHS P30 ES010126NIEHS NIH HHS P42 ES005948NIH HHS R01 OD011141
6 · The paper itself

Abstract

backgroundThe human intestine is host to an enormously complex, diverse, and vast microbial community-the gut microbiota. The gut microbiome plays a profound role in metabolic processing, energy production, immune and cognitive development, epithelial homeostasis, and so forth. However, the composition and diversity of the gut microbiome can be readily affected by external factors, which raises the possibility that exposure to toxic environmental chemicals leads to gut microbiome alteration, or dysbiosis. Arsenic exposure affects large human populations worldwide and has been linked to a number of diseases, including cancer, diabetes, and cardiovascular disorders.

objectivesWe investigated the impact of arsenic exposure on the gut microbiome composition and its metabolic profiles.

methodsWe used an integrated approach combining 16S rRNA gene sequencing and mass spectrometry-based metabolomics profiling to examine the functional impact of arsenic exposure on the gut microbiome.

results16S rRNA gene sequencing revealed that arsenic significantly perturbed the gut microbiome composition in C57BL/6 mice after exposure to 10 ppm arsenic for 4 weeks in drinking water. Moreover, metabolomics profiling revealed a concurrent effect, with a number of gut microflora-related metabolites being perturbed in multiple biological matrices.

conclusionsArsenic exposure not only alters the gut microbiome community at the abundance level but also substantially disturbs its metabolic profiles at the function level. These findings may provide novel insights regarding perturbations of the gut microbiome and its functions as a potential new mechanism by which arsenic exposure leads to or exacerbates human diseases. CITATION: Lu K, Abo RP, Schlieper KA, Graffam ME, Levine S, Wishnok JS, Swenberg JA, Tannenbaum SR, Fox JG. 2014. Arsenic exposure perturbs the gut microbiome and its metabolic profile in mice: an integrated metagenomics and metabolomics analysis. Environ Health Perspect 122:284-291; http://dx.doi.org/10.1289/ehp.1307429.

Indexed as

AnimalsArsenicChromatography, LiquidDNA Barcoding, TaxonomicFemaleGastrointestinal TractMass SpectrometryMetabolomeMetagenomeMice, Inbred C57BLMicrobiotaMolecular Sequence DataRNA, Ribosomal, 16SSequence Analysis, DNASpecific Pathogen-Free OrganismsArsenicRNA, Ribosomal, 16S

Identifiers

PMID24413286
PMCPMC3948040
OpenAlexW2089785364

What OpenQuestion holds

Textmetadata
LicenceCC0
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.