Literature DB >> 19389433

Zebrafish as a correlative and predictive model for assessing biomaterial nanotoxicity.

Valerie E Fako1, Darin Y Furgeson.   

Abstract

The lack of correlative and predictive models to assess acute and chronic toxicities limits the rapid pre-clinical development of new therapeutics. This barrier is due in part to the exponential growth of nanotechnology and nanotherapeutics, coupled with the lack of rigorous and robust screening assays and putative standards. It is a fairly simple and cost-effective process to initially screen the toxicity of a nanomaterial by using invitro cell cultures; unfortunately it is nearly impossible to imitate a complimentary invivo system. Small mammalian models are the most common method used to assess possible toxicities and biodistribution of nanomaterials in humans. Alternatively, Daniorerio, commonly known as zebrafish, are proving to be a quick, cheap, and facile model to conservatively assess toxicity of nanomaterials.

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Year:  2009        PMID: 19389433     DOI: 10.1016/j.addr.2009.03.008

Source DB:  PubMed          Journal:  Adv Drug Deliv Rev        ISSN: 0169-409X            Impact factor:   15.470


  47 in total

1.  Nanoparticles functionalized with ampicillin destroy multiple-antibiotic-resistant isolates of Pseudomonas aeruginosa and Enterobacter aerogenes and methicillin-resistant Staphylococcus aureus.

Authors:  Ashley N Brown; Kathryn Smith; Tova A Samuels; Jiangrui Lu; Sherine O Obare; Maria E Scott
Journal:  Appl Environ Microbiol       Date:  2012-01-27       Impact factor: 4.792

2.  Counter ions and constituents combination affect DODAX : MO nanocarriers toxicity in vitro and in vivo.

Authors:  Ana Cristina Norberto Oliveira; Marisa Passos Sárria; Pedro Moreira; Joana Fernandes; Lisandra Castro; Ivo Lopes; Manuela Côrte-Real; Artur Cavaco-Paulo; Maria Elisabete Cunha Dias Real Oliveira; Andreia Castro Gomes
Journal:  Toxicol Res (Camb)       Date:  2016-06-13       Impact factor: 3.524

3.  Genome-wide transcriptional analysis of silica nanoparticle-induced toxicity in zebrafish embryos.

Authors:  Hejing Hu; Qiuling Li; Lizhen Jiang; Yang Zou; Junchao Duan; Zhiwei Sun
Journal:  Toxicol Res (Camb)       Date:  2016-01-20       Impact factor: 3.524

Review 4.  Imaging the pharmacology of nanomaterials by intravital microscopy: Toward understanding their biological behavior.

Authors:  Miles A Miller; Ralph Weissleder
Journal:  Adv Drug Deliv Rev       Date:  2016-06-04       Impact factor: 15.470

5.  Understanding the transformation, speciation, and hazard potential of copper particles in a model septic tank system using zebrafish to monitor the effluent.

Authors:  Sijie Lin; Alicia A Taylor; Zhaoxia Ji; Chong Hyun Chang; Nichola M Kinsinger; William Ueng; Sharon L Walker; André E Nel
Journal:  ACS Nano       Date:  2015-02-02       Impact factor: 15.881

Review 6.  Revisiting the cytotoxicity of quantum dots: an in-depth overview.

Authors:  Sohrab Nikazar; Vishnu Sankar Sivasankarapillai; Abbas Rahdar; Salim Gasmi; P S Anumol; Muhammad Salman Shanavas
Journal:  Biophys Rev       Date:  2020-03-05

7.  Teratogenic, bioenergetic, and behavioral effects of exposure to total particulate matter on early development of zebrafish (Danio rerio) are not mimicked by nicotine.

Authors:  Andrey Massarsky; Nishad Jayasundara; Jordan M Bailey; Anthony N Oliveri; Edward D Levin; G L Prasad; Richard T Di Giulio
Journal:  Neurotoxicol Teratol       Date:  2015-09-24       Impact factor: 3.763

8.  Toxicity and cellular uptake of gold nanoparticles: what we have learned so far?

Authors:  Alaaldin M Alkilany; Catherine J Murphy
Journal:  J Nanopart Res       Date:  2010-04-06       Impact factor: 2.253

Review 9.  Zebrafish: an in vivo model for nano EHS studies.

Authors:  Sijie Lin; Yan Zhao; André E Nel; Shuo Lin
Journal:  Small       Date:  2012-12-03       Impact factor: 13.281

10.  Integrating zebrafish toxicology and nanoscience for safer product development.

Authors:  Ki-Tae Kim; Robert L Tanguay
Journal:  Green Chem       Date:  2013-04-01       Impact factor: 10.182

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