Metal-Based Nanoparticles and Their Relevant Consequences on Cytotoxicity Cascade and Induced Oxidative Stress.
Yunhui MinGodagama Gamaarachchige Dinesh SumindaYunji HeoMangeun KimMrinmoy GhoshYoung-Ok SonPublished in: Antioxidants (Basel, Switzerland) (2023)
Emerging nanoscience allows us to take advantage of the improved evolutionary components and apply today's advanced characterization and fabrication techniques to solve environmental and biological problems. Despite the promise that nanotechnology will improve our lives, the potential risks of technology remain largely uncertain. The lack of information on bio-impacts and the absence of consistent standards are the limitations of using metal-based nanoparticles (mNPs) for existing applications. To analyze the role played by the mNPs physicochemical characteristics and tactics to protect live beings, the field of nanotoxicology nowadays is focused on collecting and analyzing data from in vitro and in vivo investigations. The degree of reactive oxygen species (ROS) and oxidative stress caused by material nanoparticles (NPs) depends on many factors, such as size, shape, chemical composition, etc. These characteristics enable NPs to enter cells and interact with biological macromolecules and cell organelles, resulting in oxidative damage, an inflammatory response, the development of mitochondrial dysfunction, damage to genetic material, or cytotoxic effects. This report explored the mechanisms and cellular signaling cascades of mNPs-induced oxidative stress and the relevant health consequences.
Keyphrases
- reactive oxygen species
- oxidative stress
- human health
- inflammatory response
- induced apoptosis
- mental health
- hydrogen peroxide
- dna damage
- healthcare
- public health
- genome wide
- risk assessment
- health information
- single cell
- nitric oxide
- stem cells
- walled carbon nanotubes
- machine learning
- ischemia reperfusion injury
- electronic health record
- gene expression
- cell death
- dna methylation
- lipopolysaccharide induced
- immune response
- toll like receptor
- lps induced
- climate change
- deep learning