Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 394

The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.

The Toxicological Mechanisms of Environmental Soot (Black Carbon) and Carbon Black: Focus on Oxidative Stress and Inflammatory Pathways

Open access
Niranjan, Rituraj, Thakur, Ashwani Kumar·2017·Frontiers in Immunology

Abstract

The environmental soot and carbon blacks cause many diseases in humans but their underlying mechanisms of toxicity are still poorly understood. Both are formed after the incomplete combustion of hydrocarbons but differ in their constituents and percent carbon contents. For the first time, “Sir Percival Pott” described soot as a carcinogen, which was subsequently confirmed by many others. The existing data suggests three main types of diseases due to soot and carbon black exposures; cancer, respiratory diseases and cardiovascular dysfunctions. Experimental models revealed the involvement of oxidative stress, DNA methylation, formation of DNA adducts and Aryl hydrocarbon receptor (AhR) activation as the key mechanisms of soot and carbon black induced cancers. Metals including Si, Fe, Mn, Ti, and Co in soot also contribute in the reactive oxygen species (ROS) mediated DNA damage. Mechanistically, ROS induced DNA damage is further enhanced by eosinophils and neutrophils via halide (Cl- and Br-) dependent DNA adducts formation. The activation of pulmonary dendritic cells, T helper type 2 cells and mast cells are crucial mediators in the pathology of soot or carbon black induced respiratory disease. Polyunsaturated fatty acids (PUFA) were also found to modulate T cells functions in respiratory diseases. Particularly, telomerase reverse transcriptase was found to play the critical role in soot and carbon black induced cardiovascular dysfunctions. In this review, we propose integrated mechanisms of soot and carbon black induced toxicity emphasizing the role of inflammatory mediators and oxidative stress. We also suggest use of antioxidants and polyunsaturated fatty acids as protective strategies against soot and carbon black induced disorders.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.3389/fimmu.2017.00763

Cites

7 of 7 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Metadata

Authors
Niranjan, R., & Thakur, A. K.
Venue
Frontiers in Immunology
Published
2017-06-30
Volume
8
Pages
763-763
ISSN
1664-3224 (ISSN-L)
OpenAlex
W2731672539
Cited by
394
References
7
FWCI
9.15
Type
journal article
Language
en
Open access
gold

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.