ReviewJournal of toxicology and environmental health. Part B, Critical reviews2017
Engineered nanomaterial-induced lysosomal membrane permeabilization and anti-cathepsin agents.
Review in Journal of toxicology and environmental health. Part B, Critical reviews, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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.
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.
Who cites it
7 citing papers in PubMed, 26 citations in OpenAlex.
- The differential toxicity of three different oxidized nickel compound nanoparticles and the effects of particle surface ligands in mouse alveolar macrophages.Toxicological sciences : an official journal of the Society of Toxicology · 2025Article
- Charting new frontiers in nanoparticle immunotoxicity: A perspective on current, emerging, and future approaches.Biochemical and biophysical research communications · 2025Review
- Lysosomal BK channels facilitate silica-induced inflammation in macrophages.Inhalation toxicology · 2024Article
- Human Pannexin 1 channel: Insight in structure-function mechanism and its potential physiological roles.Molecular and cellular biochemistry · 2021Review
- Contribution of Particle-Induced Lysosomal Membrane Hyperpolarization to Lysosomal Membrane Permeabilization.International journal of molecular sciences · 2021Article
- Crumpling of silver nanowires by endolysosomes strongly reduces toxicity.Proceedings of the National Academy of Sciences of the United States of America · 2019Article
- A novel human 3D lung microtissue model for nanoparticle-induced cell-matrix alterations.Particle and fibre toxicology · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 1 country.
Funding
Abstract
Engineered nanomaterials (ENMs), or small anthropogenic particles approximately < 100 nm in size and of various shapes and compositions, are increasingly incorporated into commercial products and used for industrial and medical purposes. There is an exposure risk to both the population at large and individuals in the workplace with inhalation exposures to ENMs being a primary concern. Further, there is increasing evidence to suggest that certain ENMs may represent a significant health risk, and many of these ENMs exhibit distinct similarities with other particles and fibers that are known to induce adverse health effects, such as asbestos, silica, and particulate matter (PM). Evidence regarding the importance of lysosomal membrane permeabilization (LMP) and release of cathepsins in ENM toxicity has been accumulating. The aim of this review was to describe our current understanding of the mechanisms leading to ENM-associated pathologies, including LMP and the role of cathepsins with a focus on inflammation. In addition, anti-cathepsin agents, some of which have been tested in clinical trials and may prove useful for ameliorating the harmful effects of ENM exposure, are examined.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.