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Rory B. Conolly 教授
2017-08-17 11:05   审核人:

   

    一、个人简介

    Rory B. Conolly,博士,教授,美国北卡罗来纳州三角科技园区美国国家环保署国家健康与环境效应实验室生物学高级研究员。


    二、教育经历

哈佛大学 生物学 本科学位(1972年)

哈佛大学公共卫生学院 生理学/毒理学  博士学位(1978年)


    三、工作经历

1979.11-1986.8密歇根大学公共卫生学院环境与工业卫生系毒理学部 助理教授

1986.9-1987.8俄亥俄州代顿NSI技术服务有限公司有毒危险物研究组 研究员

1987.8-1988.4俄亥俄州代顿NSI技术服务有限公司有毒危险物研究组 研究经理

1988.4-1989.10俄亥俄州代顿NSI技术服务有限公司有毒危险物研究组 副主任

1989.11-1991.3北卡罗来纳州三角科技园区化学工业毒理学研究所风险评估部门 科学家

1991.3-1995.2北卡罗来纳州三角科技园区化学工业毒理学研究所吸入毒理学和生物数学建模部 科学家

1995.3-2004.4北卡罗来纳州三角科技园区化学工业毒理学研究所健康研究中心 高级科学家

2001.7-2004.4北卡罗来纳州三角科技园区化学工业毒理学研究所健康研究中心计算生物学与人类健康评估中心 主任

2004.4-2005.4北卡罗来纳州三角科技园区化学工业毒理学研究所 高级研究员

1998.3至今 北卡罗来纳州立大学 副教授

2005.5至今 北卡罗来纳州三角科技园区美国国家环保署 高级研究员


    四、研究方向

1.剂量-反应曲线的生物学决定因素研究

2.计算毒理学

3.人类健康风险评估


    五、获得课题情况(近年来)

1.美国国立环境卫生科学研究所:环境中的微生物和哺乳动物对AhR配体的应答反应研究(2013.4-2018.3

2. 美国国立环境卫生科学研究所:哺乳动物生物反应的计算模型(2006.4-2011.3)

3.美国能源部:利用计算模型评估旁观者效应的分子和细胞机制的假说(2003.9-2005.8

 

    六、发表文章情况(近年来)

1.Tan, Yu-Mei, Liao, K.H., Conolly, R.B., Blount, B.C., Mason, A.M., and Clewell, H.J. (2006). Use of a physiologically based pharmacokinetic model to identify exposures consistent with human biomonitoring data for chloroform. J. Toxicol. Environ. Health, Part A, 69, 1727-1756, DOI: 10.1080/15287390600631367.

2.Breen, M.S., Villeneuve, D.L., Breen, M., Ankley, G.T., and Conolly, R.B. (2007). Mechanistic computational model of ovarian steroidogenesis to predict biochemical responses to endocrine active compounds. Annals Biomed. Engineering, 35, 970-981, DOI: 10.1007/s10439-007-9309-7.

3.Conolly, R.B., and Thomas, R.S. (2007). Biologically motivated approaches to extrapolation from high to low doses and the advent of systems biology:  The road to toxicological safety assessment. Human and Ecological Risk Assessment 13, 52-56.

4.Rhomberg, L.R., Baetcke, K., Blancato, J., Bus, J., Cohen, S., Conolly, R., Dixit, R., Doe, J., Ekelman, K., Fenner-Crisp, P., Harvey, P., Hattis, D., Jacobs, A., Jacobson-Kram, D., Lewandowski, T., Liteplo, R., Pelkonen, O., Rice, J., Somers, D., Turturro, A., West, W., and Olin, S. (2007).  Issues in the design and interpretation of chronic toxicity and carcinogenicity studies in rodents: Approaches to dose selection. Crit. Rev. Toxicol. 37: 729-837, DOI:10.1080/10408440701524949.

5.Liao, K.H., Tan, Y.-M., Conolly, R.B., Borghoff, S.J., Gargas, M.L., Andersen, M.E., and Clewell, H.J., III. (2007). Bayesian estimation of pharmacokinetic and pharmacodynamic parameters in a mode of action based cancer risk assessment for chloroform.  Risk Anal. 27, 1535-1551.

6.Kavlock, R.J. Ankley, G., Blancato, J., Breen, M., Conolly, R., Dix, D., Houck, K., Hubal, E., Judson, R., Rabinowitz, J., Richard, A., Setzer, R.W., Shah, I., Villeneuve, D., and Weber, E. (2008).  Computational Toxicology – A State of the Science Mini Review.  Toxicol. Sci. 103, 14-27.

7.Selgrade, M.K., Plopper, C.G., Gilmour, M.I., Conolly, R.B., and Foos, B.S. (2008). Assessing the health effects and risks associated with children's inhalation exposures--asthma and allergy. J. Toxicol. Environ. Health A. 71, 196-207. Review.

8.Kenyon, E.M., Klimecki, W.T., El-Masri, H., Conolly, R.B., Clewell, H.J., and Beck, B.D. (2008). How can biologically-based modeling of arsenic kinetics and dynamics inform the risk assessment process? - A workshop review. Toxicol. Appl. Pharmacol. 232, 359-368. Review.

9.Nong, A., Tan, Y.-M., Krolski, M.E., Wang, J., Lunchick, C., Conolly, R.B., and Clewell, H.J., III. (2008). Bayesian calibration of a physiologically based pharmacokinetic/pharmacodynamic model of carbaryl cholinesterase inhibition. J. Toxicol. Environ. Health 71, 1363-1381.

10.Ankley, G.T., Bencic, D.C., Breen, M.S., Collette, T.W., Conolly, R.B., Denslow, N.D., Edwards, S.W., Ekman, D.R., Garcia-Reyero, N., Jensen, K.M., Lazorchak, J.M., Martinovic, D., Miller, D.H., Perkins, E.J., Orlando, E.F., Villeneuve, D.L., Wang, R.-L., and Watanabe, K.H. (2009). Endocrine disrupting chemicals in fish: Developing exposure indicators and predictive models of effects based on mechanism of action. Aquatic Toxicology doi:10.1016/j.aquatox.2009.01.013.

11.Conolly, R.B. (2009). Commentary on "Toxicity testing in the 21st century: implications for human health risk assessment" by Krewski et al. Risk Anal. 29, 480-481.

12.Conolly, R.B., Miller, F.J., Kimbell, J.S., and Janszen, D. (2009). Formaldehyde risk assessment. Ann. Occup. Hyg. 53, 181-184.

13.Kitchin, K.T., and Conolly, R. (2010). Arsenic-induced carcinogenesis--oxidative stress as a possible mode of action and future research needs for more biologically based risk assessment. Chem. Res. Toxicol. 15, 327-335. Review.

14.Luke, N.S., Sams, R., 2nd, DeVito, M.J., Conolly, R.B., and El-Masri, H.A. (2010). Development of a quantitative model incorporating key events in a hepatotoxic mode of action to predict tumor incidence. Toxicol. Sci. 115, 253-266.

15.Breen, M.S., Breen, M., Terasaki, N., Yamazaki, M., and Conolly, R.B. (2010). Computational model of steroidogenesis in human H295R cells to predict biochemical response to endocrine-active chemicals: model development for metyrapone. Environ. Health Perspect. 118, 265-272.

16.Godin, S.J., DeVito, M.J., Hughes, M.F., Ross, D.G., Scollon, E.J., Starr, J.M., Setzer, R.W., Conolly, R.B., and Tornero-Velez, R. (2010). Physiologically based pharmacokinetic modeling of deltamethrin: development of a rat and human diffusion-limited model. Toxicol. Sci. 115, 330-343.

17.Bhattacharya, S., Conolly, R.B., Kaminski, N.E., Thomas, R.S., Andersen, M.E., and Zhang, Q. (2010). A bistable switch underlying B cell differentiation and its disruption by the environmental contaminant 2,3,7,8-tetrachlorodibenzo-p-dioxin. Toxicol. Sci. 115, 51-65.

18.Zhang, Q., Bhattacharya, S., Kline, D.E., Crawford, R.B., Conolly, R.B., Thomas, R.S., Kaminski, N.E., and Andersen, M.E. (2010). Stochastic modeling of B lymphocyte terminal differentiation and its suppression by dioxin. BMC Systems Biology, 4:40 http://www.biomedcentral.com/1752-0509/4/40

19.Zhang, Q., Bhattacharya, S., Andersen, M.E., and Conolly, R.B., (2010) Computational systems biology and dose-response modeling in relation to new directions in toxicity testing. J Toxicol. Env. Hlth., Part B, 13, 253–276.

20.Felter, S.P., Conolly, R.B., Bercu, J.P., Bolger, P.M., Boobis, A.R., Bos, P.M., Carthew, P., Doerrer, N.G., Goodman, J.I., Harrouk, W.A., Kirkland, D.J., Lau, S.S., Llewellyn, G.C., Preston, R.J., Schoeny, R., Schnatter, A.R., Tritscher, A., van Velsen, F., and Williams, G.M. (2011). A proposed framework for assessing risk from less-than-lifetime exposures to carcinogens. Crit. Rev. Toxicol. 41, 507-544.

21.Breen, M., Breen, M.S., Terasaki, N., Yamazaki, M., Lloyd, A.L., and Conolly, R.B. (2011). Mechanistic computational model of steroidogenesis in H295R cells: Role of oxysterols and cell proliferation to improve predictability of biochemical response to endocrine active chemicals. Toxicol. Sci. 123, 80-93.

22.Frederick J. Miller, F.J., Kimbell, J.S., Preston, R.J., Overton, J.H., Gross, E.A., and Conolly, R.B. (2011). Estimating the fractions of respiratory tract cells at risk in formaldehyde carcinogenesis. Inhal. Toxicol. 23, 689 - 706.

23.Hartung, T., Blaauboer, B.J., Bosgra, S., Carney, E., Coenen, J., Conolly, R.B., Corsini, E., Green, S., Faustman, E.M., Gaspari, A., Hayashi, M., Hayes, A.W., Hengstler, J.G., Knudsen, L.E., Knudsen, T.B., McKim, J.M., Pfaller, W., and Roggen, E.L. (2011). An expert consortium review of the EC-commissioned report “Alternative (Non-Animal) Methods for Cosmetics Testing: Current Status and Future Prospects – 2010”. ALTEX 28, 183 - 209.

24.Zhao Y., Lou, I.C., and Conolly, R.B. (2012). Computational modeling of signaling pathways mediating cell cycle checkpoint control and apoptotic responses to ionizing radiation-induced DNA damage. Dose Response. 10, 251 - 273.

25.Zhang, Q., Kline, D.E., Bhattacharya, S., Crawford, R.B., Conolly, R.B., Thomas, R.S., Andersen, M.E., and Kaminski, N.E. (2013). All-or-none suppression of B cell terminal differentiation by environmental contaminant 2,3,7,8-tetrachlorodibenzo-p-dioxin. Toxicol. Appl. Pharmacol. 268, 17 - 26.

26.Breen, M., Villeneuve, D.L., Ankley, G.T., Bencic, D.C., Breen, M.S., Watanabe, K.H., Lloyd, A.L., and Conolly, R.B. (2013). Developing predictive approaches to characterize adaptive responses of the reproductive endocrine axis to aromatase inhibition: II. Computational modeling. Toxicol. Sci. 133, 234 - 247.

27.Villeneuve, D.L., Breen, M., Bencic, D.C., Cavallin, J.E., Jensen, K.M., Makynen, E.A, Thomas, L.M., Wehmas, L.C., Conolly, R.B., and Ankley, G.T. (2013). Developing predictive approaches to characterize adaptive responses of the reproductive endocrine axis to aromatase inhibition: I. Data generation in a small fish model. Toxicol. Sci. 133, 225 - 233.

28.Meek, M.E., Bolger, M., Bus, J.S., Christopher, J., Conolly, R.B., Lewis, R.J., Paolini, G.M., Schoeny, R., Haber, L.T., Rosenstein, A.B., and Dourson ML. (2013). A framework for fit-for-purpose dose response assessment. Regul. Toxicol. Pharmacol. 66, 234 - 240.

29.Preston, R.J., Boice, J.D. Jr., Brill, A.B., Chakraborty, R., Conolly, R,, Hoffman, F.O., Hornung, R.W., Kocher, D.C., Land, C.E., Shore, R.E., and Woloschak G.E. (2013). Uncertainties in estimating health risks associated with exposure to ionising radiation. J. Radiol. Prot. 33, 573 - 588. doi: 10.1088/0952-4746/33/3/573. Epub 2013 Jun 27.

30.Schroeter, J.D., Campbell, J., Kimbell, J.S., Conolly, R.B., Clewell, H.J., and Andersen, M.E. (2014). Effects of endogenous formaldehyde in nasal tissues on inhaled formaldehyde dosimetry predictions in the rat, monkey, and human nasal passages. Toxicol. Sci. 138, 412 - 424.

31.Phillips, M.B., Sobus, J.R., George, B.J., Isaacs, K., Conolly, R., and Tan, Y.M. (2014). A new method for generating distributions of biomonitoring equivalents to support exposure assessment and prioritization. Regul. Toxicol. Pharmacol. 69, 434 - 442. doi: 10.1016/j.yrtph.2014.05.008.

32.Zhang, Q., Bhattacharya, S., Conolly, R.B., Clewell, H.J., 3rd, Kaminski, N.E., and Andersen, M.E. (2014). Molecular signaling network motifs provide a mechanistic basis for cellular threshold responses. Environ. Health Perspect. 122, 1261 - 1270. doi: 10.1289/ehp.1408244.

33.Breen, M., Villeneuve, D.L., Ankley, G.T., Bencic, D., Breen, M.S., Watanabe, K.H., Lloyd, A.L., and Conolly, R.B. (2016). Computational model of the fathead minnow hypothalamic-pituitary-gonadal axis: Incorporating protein synthesis in improving predictability of responses to endocrine active chemicals. Comp. Biochem. Physiol. C Toxicol. Pharmacol. 183-184, 36-45. doi: 10.1016/j.cbpc.2016.02.002.

34.Cheng, W.Y., Zhang, Q., Schroeder, A., Villeneuve, D.L., Ankley, G.T., Conolly, R. (2016). Computational modeling of plasma vitellogenin alterations in response to aromatase inhibition in fathead minnows. Toxicol. Sci. 154, 78 - 89.

 

 





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