研究目的
Investigating the protein corona formation of carbon quantum dots (CQDs) from roast salmon with human serum albumin (HSA) and its effects on biological identity, including cell apoptosis, energy, glucose and lipid metabolism, and acute toxicity in mice.
研究成果
The study demonstrated that CQDs from roast salmon can form protein coronas with HSA via static binding, mitigating cytotoxicity and correcting disturbances in energy, glucose, and lipid metabolism. No significant acute toxicity was observed in mice at the tested dosage. The findings contribute to understanding the safety of food-borne fluorescent CQDs.
研究不足
The study focused on the acute effects of CQDs and their interaction with HSA. Long-term effects and interactions with other serum proteins were not investigated. The study also did not explore the mechanisms behind the metabolic changes induced by CQDs and HSA-CQD coronas in depth.
1:Experimental Design and Method Selection:
The study investigated the interaction between CQDs from roast salmon and HSA, focusing on the formation of protein coronas and their biological effects. Methods included fluorescence spectroscopy, UV-vis absorption spectra, dynamic light scattering (DLS), and transmission electron microscopy (TEM).
2:Sample Selection and Data Sources:
CQDs were extracted from roast salmon. HSA was used as the model protein. NRK cells and BALB/c mice were used for in vitro and in vivo studies, respectively.
3:List of Experimental Equipment and Materials:
Seahorse XF cellular mitochondrial assay kits, XF-8 extracellular flux analyzer, Q-Trap 5500 LC/MS/MS system, Turbo Ion Spray source.
4:Experimental Procedures and Operational Workflow:
Included the investigation of CQDs transport in gut, formation of protein coronas, location sites analysis, cytotoxicity mitigation, energy metabolism analysis, glucose and lipid metabolism analysis, and acute oral toxicity in mice evaluation.
5:Data Analysis Methods:
Partial least squares discriminant analysis (PLS-DA), heat map production, and statistical analysis using SPSS Statistics 19.
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