Evidence map›Paper›PMID 35630938›Full record

ReviewNanomaterials (Basel, Switzerland)2022

Do Carbon Nanotubes and Asbestos Fibers Exhibit Common Toxicity Mechanisms?

Suchi Smita Gupta, Krishna P Singh, Shailendra Gupta, Maria Dusinska, Qamar Rahman

Open access · goldAbstract readReview
In one paragraph

Review in Nanomaterials (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.7field-weighted citation impact, top 9% 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

11 citing papers in PubMed, 38 citations in OpenAlex.

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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

5 authors at 2 institutions in 2 countries.

Suchi Smita GuptaDepartment of Systems Biology and Bioinformatics, University of Rostock, 18051 Rostock, Germany.
Krishna P SinghDepartment of Systems Biology and Bioinformatics, University of Rostock, 18051 Rostock, Germany.
Shailendra GuptaDepartment of Systems Biology and Bioinformatics, University of Rostock, 18051 Rostock, Germany.ORCID 0000-0002-3470-3260
Maria DusinskaHealth Effects Laboratory, Department of Environmental Chemistry, NILU-Norwegian Institute for Air Research, 2007 Kjeller, Norway.ORCID 0000-0003-1358-1652
Qamar RahmanAmity Institute of Biotechnology, Amity University, Lucknow 226028, India.
University of Rostock · DENILU · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

During the last two decades several nanoscale materials were engineered for industrial and medical applications. Among them carbon nanotubes (CNTs) are the most exploited nanomaterials with global production of around 1000 tons/year. Besides several commercial benefits of CNTs, the fiber-like structures and their bio-persistency in lung tissues raise serious concerns about the possible adverse human health effects resembling those of asbestos fibers. In this review, we present a comparative analysis between CNTs and asbestos fibers using the following four parameters: (1) fibrous needle-like shape, (2) bio-persistent nature, (3) high surface to volume ratio and (4) capacity to adsorb toxicants/pollutants on the surface. We also compare mechanisms underlying the toxicity caused by certain diameters and lengths of CNTs and asbestos fibers using downstream pathways associated with altered gene expression data from both asbestos and CNT exposure. Our results suggest that indeed certain types of CNTs are emulating asbestos fiber as far as associated toxicity is concerned.

Indexed as

asbestoscarbon nanotubesexposurefiber toxicitytoxicity pathways

Identifiers

PMID35630938
PMCPMC9145953
OpenAlexW4280641794

What OpenQuestion holds

Textmetadata
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.