Communities & Collections
Researchers & Labs
Titles
DGIST
LIBRARY
DGIST R&D
Detail View
(Legacy) Magnet-Controlled Materials Research Group
1. Journal Articles
Proteomic analysis of silver nanoparticle toxicity in rat
Kim, Eun Joo
;
Chu, Young Chae
;
Han, Jee Young
;
Lee, Don Haeng
;
Kim, Ye Ji
;
Kim, Hyun Chul
;
Lee, Se Geun
;
Lee, Seong Jun
;
Jeong, Sang Won
;
Kim, Joon Mee
(Legacy) Companion Diagnostics and Medical Technology Research Group
1. Journal Articles
(Legacy) Magnet-Controlled Materials Research Group
1. Journal Articles
Citations
WEB OF SCIENCE
Citations
SCOPUS
Metadata Downloads
XML
Excel
Title
Proteomic analysis of silver nanoparticle toxicity in rat
DGIST Authors
Kim, Eun Joo
;
Kim, Hyun Chul
;
Lee, Se Geun
;
Lee, Seong Jun
;
Jeong, Sang Won
Issued Date
2010
Citation
Kim, Eun Joo. (2010). Proteomic analysis of silver nanoparticle toxicity in rat. doi: 10.1007/BF03217491
Type
Article
Article Type
Article
Subject
Apoptosis
;
Biomarker
;
Blood Coagulation
;
Reactive Oxygen Species (ROS)
;
Silver Nanoparticle
;
Toxicoproteomics
ISSN
2005-9752
Abstract
Silver nanoparticles (SNPs) have received considerable attention recently, because SNPs with different shapes and sizes exhibit variable antimicrobial activity, which makes them useful for medical and hygienic purposes. SNPs have been detected in various tissues and organisms after inhalation, oral ingestion, and contact with the skin, indicating that SNPs can be distributed to different body tissues after uptake. Thus, the toxicity of SNPs to different body tissues after their uptake needs to be studied. In this study, we performed a proteomic analysis of liver, lung, and kidney tissues in rats exposed to approximately 50 nm SNPs by intravascular injection. Then, the differentially expressed proteins representing a dose-dependent response were identified. The differentially expressed proteins were mostly related to the known toxicity of SNPs, such as apoptosis, increased reactive oxygen species, thrombus formation, and inflammation. Additionally, proteins related to metabolic disorders including diabetes were identified as differentially expressed proteins in kidney, based solely on the analysis of the protein profile and related disease pathway. In conclusion, the differentially expressed proteins identified in this study could provide basic data for understanding the toxic and pathological responses of SNP-exposed tissues and to identify candidate SNP toxicity biomarkers. © 2010 The Korean Society of Environmental Risk Assessment and Health Science and Springer.
URI
http://hdl.handle.net/20.500.11750/5413
DOI
10.1007/BF03217491
Publisher
Korean Society of Environmental Risk Assessment and Health Science
Show Full Item Record
File Downloads
There are no files associated with this item.
공유
공유하기
Related Researcher
Kim, Eunjoo
김은주
Division of AI, Big data and Block chain
read more
Total Views & Downloads