Bioaccumulation of CdSe Quantum Dots Show Biochemical and Oxidative Damage in Wistar Rats.
Kishan DasRamovatar MeenaUsha Singh GaharwarEepsita PriyadarshiniKamla RawatR PaulrajYugal Kishore MohantaMuthupandian SaravananHimadri B BohidarPublished in: Oxidative medicine and cellular longevity (2023)
Cadmium selenium quantum dots (CdSe QDs) with modified surfaces exhibit superior dispersion stability and high fluorescence yield, making them desirable biological probes. The knowledge of cellular and biochemical toxicity has been lacking, and there is little information on the correlation between in vitro and in vivo data. The current study was carried out to assess the toxicity of CdSe QDs after intravenous injection in Wistar male rats (230 g). The rats were given a single dose of QDs of 10, 20, 40, and 80 mg/kg and were kept for 30 days. Following that, various biochemical assays, hematological parameters, and bioaccumulation studies were carried out. Functional as well as clinically significant changes were observed. There was a significant increase in WBC while the RBC decreased. This suggested that CdSe quantum dots had inflammatory effects on the treated rats. The various biochemical assays clearly showed that high dose induced hepatic injury. At a dose of 80 mg/kg, bioaccumulation studies revealed that the spleen (120 g/g), liver (78 g/g), and lungs (38 g/g) accumulated the most. In treated Wistar rats, the bioretention profile of QDs was in the following order: the spleen, liver, kidney, lungs, heart, brain, and testis. The accumulation of these QDs induced the generation of intracellular reactive oxygen species, resulting in an alteration in antioxidant activity. It is concluded that these QDs caused oxidative stress, which harmed cellular functions and, under certain conditions, caused partial brain, kidney, spleen, and liver dysfunction. This is one of the most comprehensive in vivo studies on the nanotoxicity of CdSe quantum dots.
Keyphrases
- quantum dots
- oxidative stress
- diabetic rats
- high dose
- heavy metals
- sensitive detection
- reactive oxygen species
- energy transfer
- high glucose
- case control
- human health
- white matter
- dna damage
- ischemia reperfusion injury
- resting state
- heart failure
- health risk
- health risk assessment
- low dose
- healthcare
- drug induced
- electronic health record
- stem cell transplantation
- climate change
- single molecule
- multiple sclerosis
- machine learning
- small molecule
- health information
- endothelial cells
- pseudomonas aeruginosa
- big data
- artificial intelligence
- signaling pathway
- newly diagnosed
- single cell
- staphylococcus aureus
- escherichia coli
- brain injury
- atrial fibrillation