Nanotechnology has been proven to be increasingly compatible with pharmacological and biomedical applications. Therefore, we evaluated the biological interactions of single-wall carbon nanotubes functionalized with polyethylene glycol (SWNT-PEG). For this purpose, we analyzed biochemical, histological, behavioral and biodistribution parameters to understand how this material behaves in vitro and in vivo using the fish Danio rerio (zebrafish) as a biological model. The in vitro results for fish brain homogenates indicated that SWNT-PEG had an effect on lipid peroxidation and GSH (reduced glutathione) content. However, after intraperitoneal exposure, SWNT-PEG proved to be less biocompatible and formed aggregates, suggesting that the PEG used for the nanoparticle functionalization was of an inappropriate size for maintaining product stability in a biological environment. This problem with functionalization may have contributed to the low or practically absent biodistribution of SWNT-PEG in zebrafish tissues, as verified by Raman spectroscopy. There was an accumulation of material in the abdominal cavity that led to inflammation and behavioral disturbances, as evaluated by a histological analysis and an open field test, respectively. These results provide evidence of a lack of biocompatibility of SWNTs modified with short chain PEGs, which leads to the accumulation of the material, tissue damage and behavioral alterations in the tested subjects.
ABSTRACT. Rhamdia quelen is an important Neotropical catfish species for fisheries and aquaculture in southern Brazil, where it is called Jandia. Like other native Brazilian species of economic importance, R. quelen genetics needs more attention for animal breeding programs. The growth hormone gene is known to be linked to a number of molecular markers and quantitative trait loci. We sequenced the coding region of the growth hormone gene with the primer walking technique. As in other Siluriformes, the R. quelen growth hormone gene has four introns and five exons, in a 1465-bp coding region. The tertiary structure of the encoded protein was predicted by bioinformatics; it has four α-helix structures connected by loops, which form a compressed complex maintained by two disulfide bridges.
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