Evidence map›Paper›PMID 30230220›Full record

ArticleCurrent protocols in toxicology2018

Structural and Functional Analysis of the Gut Microbiome for Toxicologists.

Robert G Nichols, Jingwei Cai, Iain A Murray, Imhoi Koo, Philip B Smith, Gary H Perdew, Andrew D Patterson

Abstract read
In one paragraph

Article in Current protocols in toxicology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Power in Numbers: The Gut Microbiome Takes the Spotlight.Chemical research in toxicology · 2022
    Article
  4. Article
  5. The Gut Microbiome and Xenobiotics: Identifying Knowledge Gaps.Toxicological sciences : an official journal of the Society of Toxicology · 2020
    Article
  6. Article
  7. Article
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.

Robert G NicholsCenter for Molecular Toxicology and Carcinogenesis, Department of Veterinary and Biomedical Sciences, The Pennsylvania State University, University Park, Pennsylvania.
Jingwei CaiCenter for Molecular Toxicology and Carcinogenesis, Department of Veterinary and Biomedical Sciences, The Pennsylvania State University, University Park, Pennsylvania.
Iain A MurrayCenter for Molecular Toxicology and Carcinogenesis, Department of Veterinary and Biomedical Sciences, The Pennsylvania State University, University Park, Pennsylvania.
Imhoi KooCenter for Molecular Toxicology and Carcinogenesis, Department of Veterinary and Biomedical Sciences, The Pennsylvania State University, University Park, Pennsylvania.
Philip B SmithMetabolomics, The Pennsylvania State University, University Park, Pennsylvania.
Gary H PerdewCenter for Molecular Toxicology and Carcinogenesis, Department of Veterinary and Biomedical Sciences, The Pennsylvania State University, University Park, Pennsylvania.
Andrew D PattersonCenter for Molecular Toxicology and Carcinogenesis, Department of Veterinary and Biomedical Sciences, The Pennsylvania State University, University Park, Pennsylvania.

Funding

Activation of the Ah receptor and epithelial integrityR35ES028244 · NIEHS · PENNSYLVANIA STATE UNIVERSITY, THE · PI PERDEW, GARY H. · 2017 to 2024
$6.2M
Optimized Metabolite Extraction, Separation, and Identification for MetabolomicsR01ES022186 · NIEHS · PENNSYLVANIA STATE UNIVERSITY, THE · PI PATTERSON, ANDREW · 2012 to 2016
$2.0M
Environmental Ah Receptor Ligand Impact on the Host-Microbiome Metabolic AxisR01ES028288 · NIEHS · PENNSYLVANIA STATE UNIVERSITY, THE · PI PATTERSON, ANDREW · 2017 to 2021
$1.7M
Penn State Biomedical Big Data to Knowledge (B2D2K) Training ProgramT32LM012415 · NLM · PENNSYLVANIA STATE UNIVERSITY, THE · PI BROACH, JAMES R., HONAVAR, VASANT G. · 2016 to 2020
$1.2M
Environmental Ah Receptor Ligand Impact on the Host-Microbiome Metabolic AxisR56ES026684 · NIEHS · PENNSYLVANIA STATE UNIVERSITY, THE · PI PATTERSON, ANDREW · 2017 to 2017
$157k
NIEHS NIH HHS R01 ES022186NIEHS NIH HHS R01 ES028288NIEHS NIH HHS R35 ES028244NIEHS NIH HHS R56 ES026684NLM NIH HHS T32 LM012415
6 · The paper itself

Abstract

Characterizing the reciprocal interactions between toxicants, the gut microbiota, and the host, holds great promise for improving our mechanistic understanding of toxic endpoints. Advances in culture-independent sequencing analysis (e.g., 16S rRNA gene amplicon sequencing) combined with quantitative metabolite profiling (i.e., metabolomics) have provided new ways of studying the gut microbiome and have begun to illuminate how toxicants influence the structure and function of the gut microbiome. Developing a standardized protocol is important for establishing robust, reproducible, and importantly, comparative data. This protocol can be used as a foundation for examining the gut microbiome via sequencing-based analysis and metabolomics. Two main units follow: (1) analysis of the gut microbiome via sequencing-based approaches; and (2) functional analysis of the gut microbiome via metabolomics. © 2018 by John Wiley & Sons, Inc.

Indexed as

DNA, BacterialGastrointestinal MicrobiomeGastrointestinal TractHazardous SubstancesHumansMetabolomeMetabolomicsRNA, Ribosomal, 16SSequence Analysis, DNAToxicologyDNA, BacterialHazardous SubstancesRNA, Ribosomal, 16Sbioinformaticsmetabolomicsmicrobiometoxicology

Identifiers

PMID30230220
PMCPMC6484866

What OpenQuestion holds

Textmetadata
LicenceTDM
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.