Evidence map›Paper›PMID 41003036›Full record

ArticleNanomaterials (Basel, Switzerland)2025

Single- vs. Multi-Walled Carbon Nanotubes: Differential Cellular Stress and Lipid Metabolism Effects in Macrophage Models.

Sara Nahle, Hilary Cassidy, David Matallanas, Bertrand H Rihn, Olivier Joubert, Luc Ferrari

Abstract read
In one paragraph

Article in Nanomaterials (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Sara NahleUniversité de Lorraine, CNRS, IJL, F-54000 Nancy, France.
Hilary CassidySystems Biology Ireland, School of Medicine, University College Dublin, Belfield, D04 V1W8 Dublin, Ireland.ORCID 0000-0001-6334-8379
David MatallanasSystems Biology Ireland, School of Medicine, University College Dublin, Belfield, D04 V1W8 Dublin, Ireland.ORCID 0000-0002-2360-3141
Bertrand H RihnUniversité de Lorraine, CNRS, IJL, F-54000 Nancy, France.
Olivier JoubertUniversité de Lorraine, CNRS, IJL, F-54000 Nancy, France.ORCID 0000-0001-6440-191X
Luc FerrariUniversité de Lorraine, CNRS, IJL, F-54000 Nancy, France.ORCID 0000-0002-3159-6826

Funding

European Union's Horizon 2020 research and innovation program 686098
6 · The paper itself

Abstract

This study examines the toxicological effects of carbon nanotubes (CNTs) of different diameters-single-walled CNTs (SWCNT, 2 nm) and multi-walled CNTs (MWCNT, 74 nm)-on two macrophage cell lines, rat alveolar NR8383 cells and human differentiated THP-1. Using standardized exposure conditions and employing an integrated omics approach (transcriptomic and proteomic analyses), both CNT types were found to induce cellular stress responses and inflammation, especially in NR8383 cells, with notable involvement of the Sirtuin signaling pathway. After 24 h, MWCNTs uniquely disrupted lipid metabolism in NR8383 cells, resulting in foam cell formation and syncytia. While SWCNTs were less disruptive to metabolic pathways, they significantly altered gene regulation, particularly RNA splicing mechanisms. The dispersion medium-fetal bovine serum (FBS) versus human surfactant-also modulated the observed toxicological responses, highlighting the critical role of the protein corona in influencing CNT-cell interactions. These findings demonstrate that CNT diameter significantly affects cytotoxicity and cellular response pathways in a cell-type-specific manner.

Indexed as

carbon nanotubescoronain vitromacrophagesmetabolism disruptionomics

Identifiers

PMID41003036
PMCPMC12472611

What OpenQuestion holds

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LicenceCC BY
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.