Evidence map›Paper›PMID 28234468›Full record

ArticleChemical research in toxicology2017

Multi-Omics Reveals that Lead Exposure Disturbs Gut Microbiome Development, Key Metabolites, and Metabolic Pathways.

Bei Gao, Liang Chi, Ridwan Mahbub, Xiaoming Bian, Pengcheng Tu, Hongyu Ru, Kun Lu

Abstract read
In one paragraph

Article in Chemical research in toxicology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 86 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
86citing papers in PubMed, 2 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

86 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  12. Zinc and Cobalt exposure influencebioRxiv : the preprint server for biology · 2025
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26 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

7 authors.

Bei GaoDepartment of Environmental Health Science, University of Georgia , Athens, Georgia 30602, United States.
Liang ChiDepartment of Environmental Sciences and Engineering, University of North Carolina at Chapel Hill , Chapel Hill, North Carolina 27599, United States.
Ridwan MahbubDepartment of Environmental Health Science, University of Georgia , Athens, Georgia 30602, United States.
Xiaoming BianDepartment of Environmental Health Science, University of Georgia , Athens, Georgia 30602, United States.
Pengcheng TuDepartment of Environmental Sciences and Engineering, University of North Carolina at Chapel Hill , Chapel Hill, North Carolina 27599, United States.
Hongyu RuDepartment of Population Health and Pathobiology, North Carolina State University , Raleigh, North Carolina 27607, United States.
Kun LuDepartment of Environmental Sciences and Engineering, University of North Carolina at Chapel Hill , Chapel Hill, North Carolina 27599, United States.ORCID 0000-0002-8125-2394

Funding

UNC-CH CENTER FOR ENVIRONMENTAL HEALTH &SUSCEPTIBILITYP30ES010126 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Melissa A. Troester · 2001 to 2026
$36.3M
Functional interaction between the gut microbiome and arsenic exposureR01ES024950 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI LU, KUN · 2015 to 2019
$2.5M
NIEHS NIH HHS P30 ES010126NIEHS NIH HHS R01 ES024950
6 · The paper itself

Abstract

Lead exposure remains a global public health issue, and the recent Flint water crisis has renewed public concern about lead toxicity. The toxicity of lead has been well established in a variety of systems and organs. The gut microbiome has been shown to be highly involved in many critical physiological processes, including food digestion, immune system development, and metabolic homeostasis. However, despite the key role of the gut microbiome in human health, the functional impact of lead exposure on the gut microbiome has not been studied. The aim of this study is to define gut microbiome toxicity induced by lead exposure in C57BL/6 mice using multiomics approaches, including 16S rRNA sequencing, whole genome metagenomics sequencing, and gas chromatography-mass spectrometry (GC-MS) metabolomics. 16S rRNA sequencing revealed that lead exposure altered the gut microbiome trajectory and phylogenetic diversity. Metagenomics sequencing and metabolomics profiling showed that numerous metabolic pathways, including vitamin E, bile acids, nitrogen metabolism, energy metabolism, oxidative stress, and the defense/detoxification mechanism, were significantly disturbed by lead exposure. These perturbed molecules and pathways may have important implications for lead toxicity in the host. Taken together, these results demonstrated that lead exposure not only altered the gut microbiome community structures/diversity but also greatly affected metabolic functions, leading to gut microbiome toxicity.

Indexed as

AnimalsBacteriaBacterial ProteinsBile Acids and SaltsCarrier ProteinsEnergy MetabolismFemaleGas Chromatography-Mass SpectrometryGastrointestinal MicrobiomeGastrointestinal TractLeadMetabolic Networks and PathwaysMetabolomeMetabolomicsMiceMice, Inbred C57BLBacterial ProteinsBile Acids and SaltsCarrier ProteinsLeadNitrite ReductasesRNA, Ribosomal, 16SUreE protein, BacteriaVitamin E

Identifiers

PMID28234468
PMCPMC5654721

What OpenQuestion holds

Textmetadata
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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.