Welcome to CCL

 

CCL is a component of the Environmental and Occupational Health Sciences Institute (EOHSI) at Rutgers The State University of New Jersey, pursuing research in:

  • Multiscale computational modeling (“from molecules to populations”) of environmental and biological systems and of their interactions
  • Enviroinformatics, bioinformatics, and socioinformatics; predictive “big data” analytics for human exposures and health outcomes
Objective of the research efforts at CCL is the development and application of methods for:

Predicting transport/fate and quantifying concentrations/depositions of chemical and biological agents in multimedia environments, with special consideration of climatic change (environmental modeling)


Examples of Recent Publications in this Research Area

Zhang Y., Bielory L., Cai T., Mi Z. and Georgopoulos P. (2015). Predicting onset and duration of airborne allergenic pollen season in the United States. Atmospheric Environment 103: 297-306. DOI:10.1016/j.atmosenv.2014.12.019. PMCID:PMC4302955.


Zhang Y., Bielory L., Mi Z., Cai T., Robock A. and Georgopoulos P. (2014). Allergenic pollen season variations in the past two decades under changing climate in the United States. Global Change Biology 21(4): 1581-1589. DOI:10.1111/gcb.12755. PMCID:PMC4356643.


Zhang Y., Bielory L. and Georgopoulos P.G. (2014). Climate change effect on Betula (birch) and Quercus (oak) pollen seasons in US. International Journal of Biometeorology 58(5): 909-919. DOI:10.1007/s00484-013-0674-7. PMCID:PMC3851577


Zhang Y., Isukapalli S., Bielory L. and Georgopoulos P. (2013). Bayesian analysis of climate change effects on observed and projected airborne levels of birch pollen. Atmospheric Environment 68(1): 64-73. DOI:10.1016/j.atmosenv.2012.11.028. PMCID:PMC3601922.


Lioy P.J. and Georgopoulos P.G. (2011). New Jersey: A case study of the reduction in urban and suburban air pollution from the 1950s to 2010. Environmental Health Perspectives 119(10): 1351-1355. DOI:10.1289/ehp.1103540. PMCID:PMC3230450.


Hogrefe C., Isukapalli S.S., Tang X., Georgopoulos P.G., He S., Zalewsky E.E., Hao W., Ku J.-Y., Key T. and Sistla G. (2011). Impact of biogenic emission uncertainties on the simulated response of O3 and PM2.5 to anthropogenic emission reductions. Journal of the Air and Waste Management Association 61: 92-108. DOI:10.3155/1047-3289.61.1.92. PMCID:PMC3079461.


Efstathiou C., Isukapalli S.S. and Georgopoulos P.G. (2011). A mechanistic modeling system for estimating large scale emissions and transport of pollen and co-allergens. Atmospheric Environment 45(13): 2260-2276. DOI:10.1016/j.atmosenv.2010.12.008. PMCID:PMC3079563.


Estimating multiroute/multipathway exposures of individuals and populations to toxics in various indoor and outdoor microenvironments (exposure modeling)


Examples of Recent Publications in this Research Area

Royce S.G., Mukherjee D., Cai T., Xu S.S., Alexander J.A., Mi Z., Calderon L., Mainelis G., Lee K., Lioy P.J., Tetley T.D., Chung K.F., Zhang J. and Georgopoulos P.G. (2014). Modeling population exposures to silver nanoparticles present in consumer products. Journal of Nanoparticle Research. 16(11): 2724. DOI:10.1007/s11051-014-2724-4. PMCID:PMC4346165.


Mukherjee D., Royce S.G., Alexander J.A., Buckley B., Isukapalli S.S., Bandera E.V., Zarbl H. and Georgopoulos P.G. (2014). Physiologically-based toxicokinetic modeling of zearalenone and its metabolites: Application to the Jersey Girl study. Plos One 9(12): e113632. DOI:10.1371/journal.pone.0113632. PMCID:PMC4256163.


Zhang Y., Isukapalli S., Georgopoulos P. and Weisel C. (2013). Modeling flight attendants’ exposures to pesticide in disinsected aircraft cabins. Environmental Science & Technology 47(24): 14275-14281. DOI:10.1021/es403613h. PMCID:PMC3920731


Mitchell J., Arnot J.A., Jolliet O., Georgopoulos P., Isukapalli S., Dasgupta S., Pandian M., Wambaugh J., Egeghy P., Cohen-Hubal E.A. and Vallero D.A. (2013). Comparison of modeling approaches to prioritize chemicals based on estimates of exposure and exposure potential. Science of The Total Environment 458–460: 555-567. DOI:10.1016/j.scitotenv.2013.04.051. PMCID:PMC398378.


Isukapalli S.S., Brinkerhoff C.J., Xu S., Dellarco M., Landrigan P.J., Lioy P.J. and Georgopoulos P.G. (2013). Exposure indices for the National Children’s Study: application to inhalation exposures in Queens County, NY. Journal of Exposure Science and Environmental Epidemiology 23(1): 22-31. DOI:10.1038/jes.2012.99. PMCID:3961756.


Yang Y., Xu X. and Georgopoulos P.G. (2010). A Bayesian population PBPK model for multiroute chloroform exposure. Journal of Exposure Science and Environmental Epidemiology 20(4): 326-341. DOI:10.1038/jes.2009.29. PMCID:PMC3063650.


Xue J., Zartarian V., Wang S.W., Liu S.V. and Georgopoulos P.G. (2010). Probabilistic modeling of dietary arsenic exposure and dose and evaluation with 2003-2004 NHANES data. Environmental Health Perspectives 118(3): 345-350. DOI:10.1289/ehp.0901205. PMCID:PMC2854761.


Vallero D., Isukapalli S., Zartarian V., McCurdy T., McKone T., Georgopoulos P.G. and Dary C. (2010). Modeling and predicting pesticide exposures. Chapter 44. InHayes’ Handbook of Pesticide Toxicology – Third Edition. Krieger, R. (ed.), Academic Press: pp.995-1020 [publisher link]


Lioy P.J., Isukapalli S., Trasande L., Thorpe L., Dellarco M., Weisel C., Georgopoulos P.G., Yung C., Brown M. and Landrigan P. (2009). Using national and local extant data to characterize environmental exposures in the National Children’s Study (NCS): Queens County, New York. Environmental Health Perspectives 117(10): 1494-1504. DOI:10.1289/ehp.0900623. PMCID:PMC2790501.


Georgopoulos P.G., Wang S.-W., Yang Y.-C., Xue J., Zartarian V.G., McCurdy T. and Ozkaynak H. (2008). Biologically based modeling of multimedia, multipathway, multiroute population exposures to arsenic. Journal of Exposure Science and Environmental Epidemiology 18(5): 462-476. DOI:10.1038/sj.jes.7500637. PMCID:PMC3068596.


Estimating internal doses for appropriate target tissues, using physiologically-based transport and toxicokinetic modeling (biological dosimetry modeling)


Examples of Recent Publications in this Research Area

Mukherjee D., Porter A., Ryan M., Schwander S., Chung K.F., Tetley T., Zhang J. and Georgopoulos P. (2015). Modeling interactions of engineered nanoparticles in the pulmonary alveolar lining fluid. Nanomaterials 5(3): 1223-1249. DOI:10.3390/nano5031223. PMCID:PMC4521411.


Mukherjee D., Leo B.F., Royce S.G., Porter A.E., Ryan M.P., Schwander S., Chung K.F., Tetley T.D., Zhang J. and Georgopoulos P.G. (2014). Modeling physicochemical interactions affecting in vitro cellular dosimetry of engineered nanomaterials: application to nanosilver. Journal of Nanoparticle Research 16 (10): 2616. DOI:10.1007/s11051-014-2616-7. PMCID:PMC4295810.


Mukherjee D., Royce S.G., Alexander J.A., Buckley B., Isukapalli S.S., Bandera E.V., Zarbl H. and Georgopoulos P.G. (2014). Physiologically-based toxicokinetic modeling of zearalenone and its metabolites: Application to the Jersey Girl study. Plos One 9(12): e113632. DOI:10.1371/journal.pone.0113632. PMCID:PMC4256163.


Sasso A., Georgopoulos P.G., Krishnan K. and Isukapalli S. (2012). Bayesian analysis of a lipid-based physiologically-based toxicokinetic model of a PCB mixture in rats. Journal of Toxicology Article ID 895391. DOI:10.1155/2012/895391. PMCID:PMC3270437.


Sasso A., Isukapalli S. and Georgopoulos P. (2010). A generalized physiologically-based toxicokinetic modeling system for chemical mixtures containing metals. Theoretical Biology and Medical Modelling 7(1): 17. DOI:10.1186/1742-4682-7-17. PMCID:PMC2903511.


Yang Y., Xu X. and Georgopoulos P.G. (2010). A Bayesian population PBPK model for multiroute chloroform exposure. Journal of Exposure Science and Environmental Epidemiology 20(4): 326-341. DOI:10.1038/jes.2009.29. PMCID:PMC3063650.


Xue J., Zartarian V., Wang S.W., Liu S.V. and Georgopoulos P.G. (2010). Probabilistic modeling of dietary arsenic exposure and dose and evaluation with 2003-2004 NHANES data. Environmental Health Perspectives 118(3): 345-350. DOI:10.1289/ehp.0901205. PMCID:PMC2854761.


Ierapetritou M.G., Georgopoulos P.G., Roth C.M. and Androulakis I.P. (2009). Tissue level modeling of xenobiotic metabolism in liver: An emerging tool for enabling clinical translational research. Clinical and Translational Science 2(3): 228 – 237. DOI:10.1111/j.1752-8062.2009.00092.x. PMCID:PMC3068531.


Isukapalli S.S., Roy A. and Georgopoulos P.G. (2007). Physiologically Based Pharmacokinetic Modeling: Inhalation, Ingestion, and Dermal Absorption (Chapter 43). In Pharmacometrics: the Science of Quantitative Pharmacology. Ette, E. I. and Williams, P. J. (eds.), Wiley: pp.1069-1108 [book link]


Quantifying the effect of xenobiotic dose to cells, tissues, organs and the whole organism, using multiscale toxicodynamic modeling (dose-response analysis)


Examples of Recent Publications in this Research Area

Mukherjee D., Royce S.G., Sarkar S., Thorley A., Schwander S., Ryan M.P., Porter A.E., Chung K.F., Tetley T.D., Zhang J. and Georgopoulos P.G. (2014). Modeling in vitro cellular responses to silver nanoparticles. Journal of Toxicology. ID 852890. DOI:10.1155/2014/852890. PMCID:PMC4206931.


Mukherjee D., Leo B.F., Royce S.G., Porter A.E., Ryan M.P., Schwander S., Chung K.F., Tetley T.D., Zhang J. and Georgopoulos P.G. (2014). Modeling physicochemical interactions affecting in vitro cellular dosimetry of engineered nanomaterials: application to nanosilver. Journal of Nanoparticle Research 16 (10): 2616. DOI:10.1007/s11051-014-2616-7. PMCID:PMC4295810.


Mukherjee D., Botelho D., Gow A., Zhang J. and Georgopoulos P.G. (2013). Computational multiscale toxicodynamic modeling of silver and carbon nanoparticle effects on mouse lung function. PLOS One 8(12): e80917. DOI:10.1371/journal.pone.0080917. PMCID:PMC3849047.


Stamatelos S.K., Androulakis I.P., Kong A.-N.T. and Georgopoulos P.G. (2013). A semi-mechanistic integrated toxicokinetic–toxicodynamic (TK/TD) model for arsenic(III) in hepatocytes. Journal of Theoretical Biology 317: 244–256. DOI:10.1016/j.jtbi.2012.09.019. PMCID:PMC4026948.


Stamatelos S.K., Brinkerhoff C.J., Isukapalli S.S. and Georgopoulos P.G. (2011). Mathematical model of uptake and metabolism of arsenic(III) in human hepatocytes – Incorporation of cellular antioxidant response and threshold-dependent behavior. BMC Systems Biology 5(16). DOI:10.1186/1752-0509-5-16. PMCID:PMC3302683.


Georgopoulos P.G., Isukapalli S., Androulakis I.P., Ierapetritou M.G. and Welsh W.J. (2011). Multiscale integration of toxicokinetic and toxicodynamic processes: From cell and tissue to organ and “whole body” models. In Handbook of Systems Toxicology. Casciano, D. and Sahu, S. (eds.), John Wiley & Sons. pp.619-668 [publisher link]


Gerecke D., Chen M., Isukapalli S., Gordon M.K., Chang Y.-C., Tong W., Androulakis I. and Georgopoulos P.G. (2009). Differential gene expression profiling of mouse skin after sulfur mustard exposure: extended time response and inhibitor effect. Toxicology and Applied Pharmacology 234(2): 156-165. DOI:10.1016/j.taap.2008.09.020. PMCID:PMC3066660.


Optimizing the information that can be extracted from large and complex datasets relevant to systems that involve environment-organism interactions (high-throughput to high-content enviroinformatics and bioinformatics)


Examples of Recent Publications in this Research Area

Pavilonis B.T., Lioy P.J., Guazzetti S., Bostick B.C., Donna F., Peli M., Zimmerman N.J., Bertrand P., Lucas E., Smith D.R., Georgopoulos P.G., Mi Z., Royce S.G. and Lucchini R.G. (2014). Manganese concentrations in soil and settled dust in an area with historic ferromanganese production used in steel. Journal of Exposure Science and Environmental Epidemiology. DOI:10.1038/jes.2014.70. PMCID:PMC4406789.


Zhang Y., Bielory L., Mi Z., Cai T., Robock A. and Georgopoulos P. (2014). Allergenic pollen season variations in the past two decades under changing climate in the United States. Global Change Biology 21(4): 1581-1589. DOI:10.1111/gcb.12755. PMCID:PMC4356643.


Georgopoulos P.G., Brinkerhoff C.J., Isukapalli S., Dellarco M., Landrigan P.J. and Lioy P.J. (2014). A tiered framework for risk-relevant characterization and ranking of chemical exposures: Applications to the National Children’s Study (NCS). Risk Analysis 34(7): 1299-316. DOI:10.1111/risa.12165. PMCID:PMC4158851.


Georgopoulos P.G. and Lioy P.J. (2014). Geographic Information Systems in Children’s Environmental Health. In Textbook of Children’s Environmental Health. Landrigan, P. J. and Etzel, R. A. (eds.) New York, NY, Oxford University Press: pp.69-82.


Mitchell J., Arnot J.A., Jolliet O., Georgopoulos P., Isukapalli S., Dasgupta S., Pandian M., Wambaugh J., Egeghy P., Cohen-Hubal E.A. and Vallero D.A. (2013). Comparison of modeling approaches to prioritize chemicals based on estimates of exposure and exposure potential. Science of The Total Environment 458–460: 555-567. DOI:10.1016/j.scitotenv.2013.04.051. PMCID:PMC398378.


Isukapalli S.S., Brinkerhoff C.J., Xu S., Dellarco M., Landrigan P.J., Lioy P.J. and Georgopoulos P.G. (2013). Exposure indices for the National Children’s Study: application to inhalation exposures in Queens County, NY. Journal of Exposure Science and Environmental Epidemiology 23(1): 22-31. DOI:10.1038/jes.2012.99. PMCID:3961756.


Carter G.P., Miskewitz R.J., Isukapalli S., Mun Y., Vyas V., Yoon S., Georgopoulos P. and Uchrin C.G. (2011). Comparison of kriging and cokriging for the geostatistical estimation of specific capacity in the Newark Basin (NJ) aquifer system. Journal of Environmental Science and Health, Part A: Toxic/Hazardous Substances and Environmental Engineering 46 (4): 371-377. DOI:10.1080/10934529.2011.542373.


Lioy P.J., Isukapalli S., Trasande L., Thorpe L., Dellarco M., Weisel C., Georgopoulos P.G., Yung C., Brown M. and Landrigan P. (2009). Using national and local extant data to characterize environmental exposures in the National Children’s Study (NCS): Queens County, New York. Environmental Health Perspectives 117(10): 1494-1504. DOI:10.1289/ehp.0900623. PMCID:PMC2790501.


Georgopoulos P.G., Sasso A.F., Isukapalli S.S., Lioy P.J., Vallero D.A., Okino M. and Reiter L. (2009). Reconstructing population exposures to environmental chemicals from biomarkers: Challenges and opportunities. Journal of Exposure Science and Environmental Epidemiology 19(2): 149-171. DOI:10.1038/jes.2008.9. PMCID:PMC3068528.


CCL’s efforts support the development of computer simulation-based alternatives to animal testing for risk assessment.


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