Predictive modeling of nanomaterial exposure effects in biological systems

International Journal of Nanomedicine

Volumn 8, Issue SUPPL. 1, 2013, Pages 31-43

  Liu, Xiong ^a   Tang, Kaizhi ^a   Harper, Stacey ^b   Harper, Bryan ^b   Steevens, Jeffery A ^c   Xu, Roger ^a  

^a INTELLIGENT AUTOMATION INC   (United States)

^b Oregon State University   (United States)

^c U S ARMY ENGINEER RESEARCH AND DEVELOPMENT CENTER   (United States)

Author keywords

Biological response; Data mining; Embryonic zebrafish; Nanomaterial exposure effects; Numerical prediction; Toxicity

Indexed keywords

DENDRIMER; METAL NANOPARTICLE; METAL OXIDE; NANOMATERIAL; POLYMER;

ACCURACY; ARTICLE; CONCENTRATION (PARAMETERS); CONGENITAL HEART MALFORMATION; DATA MINING; DEVELOPMENTAL DISORDER; EMBRYOTOXICITY; MORTALITY; NANOTOXICOLOGY; PREDICTION; RISK ASSESSMENT; SURFACE CHARGE; ZEBRA FISH;

BIOLOGICAL RESPONSE; DATA MINING; EMBRYONIC ZEBRAFISH; NANOMATERIAL EXPOSURE EFFECTS; NUMERICAL PREDICTION; TOXICITY;

ALGORITHMS; ANIMALS; DATA MINING; DATABASE MANAGEMENT SYSTEMS; DATABASES, FACTUAL; EMBRYO, NONMAMMALIAN; METAL NANOPARTICLES; MODELS, BIOLOGICAL; ZEBRAFISH;

EID: 84884886851     PISSN: 11769114     EISSN: 11782013     Source Type: Journal    
DOI: 10.2147/IJN.S40742     Document Type: Article

References (40)

1. Niemeyer CM, Mirkin CA. Nanobiotechnology: Concepts, Applications and Perspectives. Hoboken: Wiley-VCH Weinheim; 2004.
2. Jain KK. The Handbook of Nanomedicine. Totowa, NJ: Humana/Springer; 2008.
3. Elbaz J, Willner I. DNA origami: nanorobots grab cellular control. Nat Mater. 2012;11(4):276-277.
4. Subramani KA, Pathak SA, Hosseinkhani H. Recent trends in diabetes treatment using nanotechnology. Dig J Nanomat Biostructures. 2012; 7(1):85-95.
5. Hosseinkhani H, Hosseinkhani M. Biodegradable polymer-metal complexes for gene and drug delivery. Curr Drug Saf. 2009;4(1):79-83.
6. Hosseinkhani H. DNA nanoparticles for gene delivery to cells and tissue. Int J Nanotechnol. 2006;3:416-461.
7. Hosseinkhani H, Tabata Y. Self assembly of DNA nanoparticles with polycations for the delivery of genetic materials into cells. J Nanosci Nanotechnol. 2006;6(8):2320-2328.
8. Oberdörster G, Ferin J, Gelein R, Soderholm SC, Finkelstein J. Role of the alveolar macrophage in lung injury: studies with ultrafine particles. Environ Health Perspect. 1992;97:193-199.
9. Donaldson K, Borm PJ, Oberdorster G, Pinkerton KE, Stone V, Tran CL. Concordance between in vitro and in vivo dosimetry in the proinflammatory effects of low-toxicity, low-solubility particles: the key role of the proximal alveolar region. Inhal Toxicol. 2008;20(1):53-62.
10. Landsiedel R, Ma-Hock L, Kroll A, et al. Testing metal-oxide nanomaterials for human safety. Adv Mater. 2010;22(24):2601-2627.
11. Lam CW, James JT, McCluskey R, Arepalli S, Hunter RL. A review of carbon nanotube toxicity and assessment of potential occupational and environmental health risks. Crit Rev Toxicol. 2006;36(3):189-217.
12. Zhao Y, Wang B, Feng W, Bai C. Nanotoxicology: Toxicological and biological activities of nanomaterials. In: Encyclopedia of Life Support Systems (EOLSS): Nanoscience and Nanotechnology. Oxford: Eolss Publishers; 2009:1-68.
13. Chen Z, Meng H, Xing G, et al. Acute toxicological effects of copper nanoparticles in vivo. Toxicol Lett. 2006;163(2):109-120.
14. Tang K, Liu X, Harper S, Steevens J, Xu R. NEIMiner: a model driven data mining system for studying environmental impact of nanomaterials. In: Bioinformatics and Biomedicine Workshops (BIBMW), 2012 IEEE International Conference. Proceedings of the 2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW); October 4-7, 2012; Philadelphia, PA, USA. IEEE Xplore; 2012:895-902.
15. Liu X, Tang K, Harper S, Harper B, Steevens J, Xu R. Predictive modeling of nanomaterial biological effects. In: Bioinformatics and Biomedicine Workshops (BIBMW), 2012 IEEE International Conference. Proceedings of the 2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW); October 4-7, 2012; Philadelphia, PA, USA. IEEE Xplore; 2012:859-863.
16. Horev-Azaria L, Kirkpatrick CJ, Korenstein R, et al. Predictive toxicology of cobalt nanoparticles and ions: comparative in vitro study of different cellular models using methods of knowledge discovery from data. Toxicol Sci. 2011;122(2):489-501.
17. Zhu H, Ye L, Richard A, et al. A novel two-step hierarchical quantitative structure-activity relationship modeling work flow for predicting acute toxicity of chemicals in rodents. Environ Health Perspect. 2009;117(8): 1257-1264.
18. Hill AJ, Teraoka H, Heideman W, Peterson RE. Zebrafish as a model vertebrate for investigating chemical toxicity. Toxicol Sci. 2005;86(1): 6-19.
19. Bai W, Zhang Z, Tian W, et al. Toxicity of zinc oxide nanoparticles to zebrafish embryo: a physicochemical study of toxicity mechanism. J Nanopart Res. 2010;12(5):1645-1654.
20. Asharani PV, Wu YL, Gong Z, Valiyaveettil S. Toxicity of silver nanoparticles in zebrafish models. Nanotechnology. 2008;19(25):1-8.
21. Harper SL, Carriere JL, Miller JM, Hutchison JE, Maddux BL, Tanguay RL. Systematic evaluation of nanomaterial toxicity: utility of standardized materials and rapid assays. ACS Nano. 2011;5(6):4688-4697.
22. Usenko CY, Harper SL, Tanguay RL. In vivo evaluation of carbon fullerene toxicity using embryonic zebrafish. Carbon N Y. 2007;45(9): 1891-1898.
23. Nanomaterial-Biological Interactions Knowledgebase [homepage on the Internet]. Corvallis, OR: Nanomaterial-Biological Interactions Knowledgebase. Available from: http://oregonstate.edu/nbi. Accessed November 25, 2012.
24. Liu X, Tang K, Buhrman JR, Cheng H. An agent-based framework for collaborative data mining optimization. In: Collaborative Technologies and Systems (CTS), 2010 International Symposium. Proceedings of the IEEE International Symposium on Collaborative Technologies and Systems (CTS); May 17-21, 2010; Chicago, IL, USA. IEEE Xplore; 2010:295-301.
25. Tang K, Liu X, Tang Y, Manikonda V, Buhrman JR, Cheng H. ABMiner: A scalable data mining framework to support human performance analysis. In: Duffy, VG, editor. Advances in Applied Digital Human Modeling. Boca Raton, FL: CRC Press; 2010: 639-648.
26. Harper SL. An EZ Metric for Defining the A in nanoSARs. Nano WG Meeting organized by NCI, July 27, 2011.
27. Harper SL, Dahl JA, Maddux BLS, Tanguay RL, Hutchison JE. Proactively designing nanomaterials to enhance performance and minimise hazard. Int J Nanotechnol. 2008;5(1):124-142.
28. Hall M, Frank E, Holmes G, Pfahringer B, Reutemann P, Witten IH. The WEKA data mining software: an update. SIGKDD Explor. 2009; 11(1):10-18.
29. Aha D, Kibler D, Albert MK. Instance-based learning algorithms. Machine Learning. 1991;6(1):37-66.
30. Breiman L. Bagging predictors. Machine Learning. 1996;24(2): 123-140.
31. Witten IH, Frank E. Data Mining: Practical Machine Learning Tools and Techniques, 2nd ed. San Francisco: Morgan Kaufmann; 2005.
32. Quinlan RJ. Learning with continuous classes. In: Adams, Sterling, editors. Proceedings AI'92: Proceedings of the 5th Australian Joint Conference on Artificial Intelligence; November 16-18, 1992; Singapore. 1992:343-348.
33. Wang Y, Witten IH. Induction of model trees for predicting continuous classes. Proceedings of the 9th European Conference on Machine Learning; April 23-25, 1997; Prague, Czech Republic.
34. Cleary JG, Trigg LE. K: An instance-based learner using an entropic distance measure. In: Prieditis A, Russel SJ, editors. Machine Learning: Proceedings of the 12th International Conference on Machine Learning; July 9-12, 1995; Tahoe City, CA, USA. 1995:108-114.
35. Kira K, Rendell LA. A practical approach to feature selection. In: Proceedings of the 9th International Workshop on Machine Learning; 1992; Aberdeen, Scotland. San Francisco: Morgan Kaufmann Publishers Inc; 1992:249-256.
36. Tong W, Fang H, Xie Q, et al. Gaining confidence on molecular classification through consensus modeling and validation. Toxicol Mech Methods. 2006;16(2-3):59-68.
37. Whelan G, Castleton KJ, Buck JW, et al. Concepts of a Framework for Risk Analysis in Multimedia Environmental Systems. Richland, WA: Pacific Northwest National Laboratory; 1997. Available from: http://mepas.pnnl.gov/framesv1/documents/PNNL11748-frames_doc.pdf. Accessed November 25, 2012.
38. Nanoinformatics 2020 Roadmap [website on the Internet]. National Nanomanufacturing Network; 2011. Available from: http://www.internano.org/content/view/510/251/. Accessed November 25, 2012.
39. Harper SL, Usenko CY, Hutchison J, Maddux BLS and Tanguay RL. In vivo biodistribution and toxicity depends on nanomaterial composition, size, surface functionalization and route of exposure. Journal of Experimental Nanoscience. 2008;3:195-206.
40. Usenko, CY, Harper SL, Tanguay RL. Exposure to C60 elicits an oxidative stress response in embryonic zebrafish. Toxicology and Applied Pharmacology. 2008;229;44-55.