Evidence map›Paper›PMID 37060994›Full record

ArticleNanoImpact2023

Graphene oxide exposure alters gut microbial community composition and metabolism in an in vitro human model.

Sneha P Couvillion, Robert E Danczak, Xiaoqiong Cao, Qin Yang, Tharushi P Keerthisinghe, Ryan S McClure, Dimitrios Bitounis, Meagan C Burnet, Sarah J Fansler, Rachel E Richardson and 4 more

Open access · greenAbstract read
In one paragraph

Article in NanoImpact, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.1field-weighted citation impact, top 26% 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

4 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Review
  3. Integrated Metagenomic and Metabolomic Analysis on Two Competing Mussels,Animals : an open access journal from MDPI · 2024
    Article
  4. Review
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

14 authors at 2 institutions in 2 countries.

Sneha P CouvillionBiological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, USA. Electronic address: sneha.couvillion@pnnl.gov.
Robert E DanczakBiological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, USA.
Xiaoqiong CaoCenter for Nanotechnology and Nanotoxicology, Department of Environmental Health, Harvard School of Public Health, 655 Huntington Ave, Boston, MA 02115, USA.
Qin YangSchool of Civil and Environmental Engineering, Nanyang Technological University, Singapore 639798, Singapore; Nanyang Environment and Water Research Institute, Nanyang Technological University, Singapore 637141, Singapore.
Tharushi P KeerthisingheSchool of Civil and Environmental Engineering, Nanyang Technological University, Singapore 639798, Singapore; Nanyang Environment and Water Research Institute, Nanyang Technological University, Singapore 637141, Singapore.
Ryan S McClureBiological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, USA.
Dimitrios BitounisCenter for Nanotechnology and Nanotoxicology, Department of Environmental Health, Harvard School of Public Health, 655 Huntington Ave, Boston, MA 02115, USA.
Meagan C BurnetBiological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, USA.
Sarah J FanslerBiological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, USA.
Rachel E RichardsonBiological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, USA.
Mingliang FangSchool of Civil and Environmental Engineering, Nanyang Technological University, Singapore 639798, Singapore; Nanyang Environment and Water Research Institute, Nanyang Technological University, Singapore 637141, Singapore.
Wei-Jun QianBiological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, USA.
Philip DemokritouCenter for Nanotechnology and Nanotoxicology, Department of Environmental Health, Harvard School of Public Health, 655 Huntington Ave, Boston, MA 02115, USA. Electronic address: philip.demokritou@rutgers.edu.
Brian D ThrallBiological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, USA.
Pacific Northwest National Laboratory · USNanyang Technological University · SG

Funding

Key Events in Modulation of Lung Infection Susceptibility by NanomaterialsU01ES027292 · NIEHS · BATTELLE PACIFIC NORTHWEST LABORATORIES · PI QIAN, WEI-JUN · 2016 to 2020
$2.0M
NIEHS NIH HHS U01 ES027292
6 · The paper itself

Abstract

Graphene oxide (GO) nanomaterials have unique physicochemical properties that make them highly promising for biomedical, environmental, and agricultural applications. There is growing interest in the use of GO and extensive in vitro and in vivo studies have been conducted to assess its nanotoxicity. Although it is known that GO can alter the composition of the gut microbiota in mice and zebrafish, studies on the potential impacts of GO on the human gut microbiome are largely lacking. This study addresses an important knowledge gap by investigating the impact of GO exposure- at low (25 mg/L) and high (250 mg/L) doses under both fed (nutrient rich) and fasted (nutrient deplete) conditions- on the gut microbial communitys' structure and function, using an in vitro model. This model includes simulated oral, gastric, small intestinal phase digestion of GO followed by incubation in a colon bioreactor. 16S rRNA amplicon sequencing revealed that GO exposure resulted in a restructuring of community composition. 25 mg/L GO induced a marked decrease in the Bacteroidota phylum and increased the ratio of Firmicutes to Bacteroidota (F/B). Untargeted metabolomics on the supernatants indicated that 25 mg/L GO impaired microbial utilization and metabolism of substrates (amino acids, carbohydrate metabolites) and reduced production of beneficial microbial metabolites such as 5-hydroxyindole-3-acetic acid and GABA. Exposure to 250 mg/L GO resulted in community composition and metabolome profiles that were very similar to the controls that lacked both GO and digestive enzymes. Differential abundance analyses revealed that 3 genera from the phylum Bacteroidota (Bacteroides, Dysgonomonas, and Parabacteroides) were more abundant after 250 mg/L GO exposure, irrespective of feed state. Integrative correlation network analysis indicated that the phylum Bacteroidota showed strong positive correlations to multiple microbial metabolites including GABA and 3-indoleacetic acid, are much larger number of correlations compared to other phyla. These results show that GO exposure has a significant impact on gut microbial community composition and metabolism at both low and high GO concentrations.

Indexed as

MicrobiotaZebrafishAnimalsBacteroidetesgamma-Aminobutyric AcidGraphiteHumansMiceRNA, Ribosomal, 16Sgamma-Aminobutyric Acidgraphene oxideGraphiteRNA, Ribosomal, 16SGraphene oxideGut microbiomeMetabolomicsNanomaterials

Identifiers

PMID37060994
PMCPMC13564378
OpenAlexW4365458615

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.