Evidence map›Paper›PMID 35296350›Full record

ArticleParticle and fibre toxicology2022

Surface functionalization and size modulate the formation of reactive oxygen species and genotoxic effects of cellulose nanofibrils.

Kukka Aimonen, Monireh Imani, Mira Hartikainen, Satu Suhonen, Esa Vanhala, Carlos Moreno, Orlando J Rojas, Hannu Norppa, Julia Catalán

Open access · goldAbstract read
In one paragraph

Article in Particle and fibre toxicology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.1field-weighted citation impact, top 14% 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

9 citing papers in PubMed, 30 citations in OpenAlex.

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  9. Toxicity of metal-based nanoparticles: Challenges in the nano era.Frontiers in bioengineering and biotechnology · 2022
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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

9 authors at 4 institutions in 3 countries.

Kukka AimonenFinnish Institute of Occupational Health, Työterveyslaitos, Box 40, 00032, Helsinki, Finland.
Monireh ImaniDepartment of Bioproducts and Biosystems, Aalto University, Espoo, Finland.
Mira HartikainenFinnish Institute of Occupational Health, Työterveyslaitos, Box 40, 00032, Helsinki, Finland.
Satu SuhonenFinnish Institute of Occupational Health, Työterveyslaitos, Box 40, 00032, Helsinki, Finland.
Esa VanhalaFinnish Institute of Occupational Health, Työterveyslaitos, Box 40, 00032, Helsinki, Finland.
Carlos MorenoDepartment of Anatomy, Embryology and Genetics, University of Zaragoza, Zaragoza, Spain.
Orlando J RojasDepartment of Bioproducts and Biosystems, Aalto University, Espoo, Finland.
Hannu NorppaFinnish Institute of Occupational Health, Työterveyslaitos, Box 40, 00032, Helsinki, Finland.
Julia CatalánFinnish Institute of Occupational Health, Työterveyslaitos, Box 40, 00032, Helsinki, Finland. julia.catalan@ttl.fi.ORCID 0000-0003-2936-242X
Finnish Institute of Occupational Health · FIUniversidad de Zaragoza · ESAalto University · FIUniversity of British Columbia · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCellulose nanofibrils (CNFs) have emerged as a sustainable and environmentally friendly option for a broad range of applications. The fibrous nature and high biopersistence of CNFs call for a thorough toxicity assessment, but it is presently unclear which physico-chemical properties could play a role in determining the potential toxic response to CNF. Here, we assessed whether surface composition and size could modulate the genotoxicity of CNFs in human bronchial epithelial BEAS-2B cells. We examined three size fractions (fine, medium and coarse) of four CNFs with different surface chemistry: unmodified (U-CNF) and functionalized with 2,2,6,6-tetramethyl-piperidin-1-oxyl (TEMPO) (T-CNF), carboxymethyl (C-CNF) and epoxypropyltrimethylammonium chloride (EPTMAC) (E-CNF). In addition, the source fibre was also evaluated as a non-nanosized material.

resultsThe presence of the surface charged groups in the functionalized CNF samples resulted in higher amounts of individual nanofibrils and less aggregation compared with the U-CNF. T-CNF was the most homogenous, in agreement with its high surface group density. However, the colloidal stability of all the CNF samples dropped when dispersed in cell culture medium, especially in the case of T-CNF. CNF was internalized by a minority of BEAS-2B cells. No remarkable cytotoxic effects were induced by any of the cellulosic materials. All cellulosic materials, except the medium fraction of U-CNF, induced a dose-dependent intracellular formation of reactive oxygen species (ROS). The fine fraction of E-CNF, which induced DNA damage (measured by the comet assay) and chromosome damage (measured by the micronucleus assay), and the coarse fraction of C-CNF, which produced chromosome damage, also showed the most effective induction of ROS in their respective size fractions.

conclusionsSurface chemistry and size modulate the in vitro intracellular ROS formation and the induction of genotoxic effects by fibrillated celluloses. One cationic (fine E-CNF) and one anionic (coarse C-CNF) CNF showed primary genotoxic effects, possibly partly through ROS generation. However, the conclusions cannot be generalized to all types of CNFs, as the synthesis process and the dispersion method used for testing affect their physico-chemical properties and, hence, their toxic effects.

Indexed as

CelluloseNanofibersComet AssayDNA DamageHumansReactive Oxygen SpeciesCelluloseReactive Oxygen SpeciesCellulose nanofibrilsFunctionalizationGenotoxicityHigh aspect ratioNanofibrillated cellulosesReactive oxygen speciesSurface chemistry

Identifiers

PMID35296350
PMCPMC8925132
OpenAlexW4220941441

What OpenQuestion holds

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LicenceCC BY
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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.