Evidence map›Paper›PMID 33537148›Full record

ArticleEnvironmental science. Nano2020

Toxicity of Single-Walled Carbon Nanotubes (SWCNTs): Effect of Lengths, Functional Groups and Electronic Structures Revealed by a Quantitative Toxicogenomics Assay.

Tao Jiang, Carlo Alberto Amadei, Na Gou, Yishan Lin, Jiaqi Lan, Chad D Vecitis, April Z Gu

Open access · greenAbstract read
In one paragraph

Article in Environmental science. Nano, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
3.4field-weighted citation impact, top 6% 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

22 citing papers in PubMed, 71 citations in OpenAlex.

  1. Review
  2. Article
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  4. Computation-aided design of rod-shaped nanoparticles for tumoral targeting.Journal of controlled release : official journal of the Controlled Release Society · 2025
    Article
  5. Review
  6. Review
  7. Current Research in Drug-Free Cancer Therapies.Bioengineering (Basel, Switzerland) · 2025
    Review
  8. Article
  9. Review
  10. Article
  11. Systematic Selection of High-Affinity ssDNA Sequences to Carbon Nanotubes.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Article
  12. Article
  13. Molecular and Macromolecular Interactions of Carbon-Based Nanostructures.International journal of molecular sciences · 2022
    Article
  14. Article
  15. Review
  16. Article
  17. Review
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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 at 4 institutions in 3 countries.

Tao JiangDepartment of Civil and Environmental Engineering, Northeastern University, 360 Huntington Ave, Boston, MA 02115.
Carlo Alberto AmadeiJohn A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA 02138.
Na GouDepartment of Civil and Environmental Engineering, Northeastern University, 360 Huntington Ave, Boston, MA 02115.
Yishan LinDepartment of Civil and Environmental Engineering, Northeastern University, 360 Huntington Ave, Boston, MA 02115.
Jiaqi LanDepartment of Civil and Environmental Engineering, Northeastern University, 360 Huntington Ave, Boston, MA 02115.
Chad D VecitisJohn A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA 02138.
April Z GuSchool of Civil and Environmental Engineering, Cornell University, 220 Hollister Dr., Ithaca, NY 14853.
Northeastern University · USChinese Academy of Medical Sciences & Peking Union Medical College · CNCornell University · USHarvard University · US

Funding

Research Experiences and Training Coordination CoreP42ES017198 · NIEHS · NORTHEASTERN UNIVERSITY · PI HARRIS, SEAN M · 2010 to 2024
$38.6M
NIEHS NIH HHS P42 ES017198
6 · The paper itself

Abstract

Single-walled carbon nanotubes (SWCNTs) are a group of widely used carbon-based nanomaterials (CNMs) with various applications, which raise increasing public concerns associated with their potential toxicological effect and risks on human and ecosystems. In this report, we comprehensively evaluated the nanotoxicity of SWCNTs with their relationship to varying lengths, functional groups and electronic structures, by employing both newly established quantitative toxicogenomics test, as well as conventional phenotypic bioassays. The objective is to reveal potential cellular toxicity and mechanisms of SWCNTs at the molecular level, and to probe their potential relationships with their morphological, surface, and electronic properties. The results indicated that DNA damage and oxidative stress were the dominant mechanisms of action for all SWCNTs and, the toxicity level and characteristics varied with length, surface functionalization and electronic structure. Distinguishable molecular toxicity fingerprints were revealed for the two SWCNTs with varying length, with short SWCNT exhibiting higher toxicity level than the long one. In terms of surface properties, SWCNT functionalization, namely carboxylation and hydroxylation, led to elevated overall toxicity, especially genotoxicity, as compared to unmodified SWCNT. Carboxylated SWCNT induced a greater toxicity than the hydroxylated SWCNT. The nucleus is likely the primary target site for long, short, and carboxylated SWCNTs and mechanical perturbation is likely responsible for the DNA damage, specifically related to degradation of the DNA double helix structure. Finally, dramatically different electronic structure-dependent toxicity was observed with metallic SWCNT exerting much higher toxicity than the semiconducting one that exhibited minimal toxicity among all SWCNTs.

Indexed as

carbon-based nanomaterials (CNMs)comet assaygenotoxicitynanotoxicityoxidative stressquantitative toxicogenomics assayreactive oxygen species (ROS)single-walled carbon nanotubes (SWCNTs)

Identifiers

PMID33537148
PMCPMC7853656
OpenAlexW3022969985

What OpenQuestion holds

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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.