2019 (66 POSTS)
Thomas RS, Bahadori T, Buckley T, Cowden J, Deisenroth C, Dionisio K, Frithsen J,…, Patlewicz G , et al. 2019. The next generation of computational toxicology at the US Environmental Protection Agency. Toxicol Sci 169(2):317-332; doi: 10.1093/toxsci/kfz058 . PMID: 30835285.
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Topics: computational toxicology , toxicokinetics
Seo JE, Tryndyak V, Wu Q, Dreval K, Pogribny I, Bryant M, Zhou T, Robison TW , et al. 2019. Quantitative comparison in vitro genotoxicity between metabolically competent HepaRG cells and HepG2 cells using the high-content Comet Chip assay. Arch Toxicol 93(5):1433-1448; doi: 10.1007/s00204-019-02406-9 . PMID: 30788552.
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Topics: benchmark dose estimation (BMD)
Jacobs NFB, Towle KM, Finley BL , Gaffney SH. 2019. An updated evaluation of potential health hazards associated with exposures to asbestos-containing drywall accessory products. Crit Rev Toxicol 49(5):430–444; doi: 10.1080/10408444.2019.1639612 . PMID: 31380709.
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Topics: asbestos , Exposure Assessment , risk assessment
Beckett EM, Cyrs WD, Abelmann A, Monnot AD, Gaffney SH, Finley BL . 2019. Derivation of an occupational exposure limit for diacetyl using dose-response data from chronic animal inhalation exposure study. J Appl Toxicol 39(5):688–701; doi: 10.1002/jat.3757 . PMID: 30620996.
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Topics: diacetyl , dose-response , Exposure Assessment , inhalation toxicology , Occupational exposure limits (OELs)
Slavin M, Polasky A, Vieyra K, Best A, Durant L, Frankenfeld C . 2019. Single meal nutrient assessment by a self-administered, electronic exit survey compared with a multi-pass dietary interview in university undergraduates in an all-you-care-to-eat campus dining hall. J Acad Nutr Diet 119(5):739–749; doi: 10.1016/j.jand.2019.01.020 . PMID: 31029234.
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Topics: nutrition
Scott PK, Abramson MM, Bare JL , Barlow CA. 2019. Air dispersion modeling for historical community exposure reconstruction: An evaluation of the approach and its uncertainties. EM-Mag Environ Mgrs January .
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Topics: Air Quality , community health , Environmental Science , Exposure Assessment , modeling
Malone DC, Dean R, Arjunji R, Jensen IS , Cyr PL , Miller B , Maru B, et al. 2019. Cost-effectiveness analysis of using onasemnogene abeparvocec (AVXS-101) in spinal muscular atrophy type 1 patients. J Mark Access Health Pol 7(1):1601484; doi: 10.1080/20016689.2019 . PMID: 31105909.
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Topics: Epidemiology , Health Economics and Outcomes Research (HEOR)
Rager JE, Suh M , Chappell G, Thompson CM , Proctor DM . 2019. Review of transcriptomic responses to hexavalent chromium exposure in lung cells supports a role of epigenetic mediators in carcinogenesis. Toxicol Lett 305(May 1):40-50; doi: 10.1016/j.toxlet.2019.01.011 . PMID: 30690063.
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Topics: carcinogens , chromium , transcriptomics
Burns AM , Barlow CA, Banducci AM, Unice KM, Sahmel J. 2019. Potential airborne asbestos exposure and risk associated with the historical use of cosmetic talcum powder products. Risk Anal 39(10):2272-2294; doi: 10.1111/risa.13312 . PMID: 30980426.
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Topics: asbestos , Exposure Assessment , risk assessment , talc
Suh M , Casteel S, Dunsmore M, Ring C, Verwiel A, Proctor DM . 2019. Bioaccessibility and relative oral bioavailability of cobalt and nickel in residential soil and dust affected by metal grinding operations. Sci Tot Environ 660(April 10):677–689; doi: 10.1016/j.scitotenv.2018.12.317 . PMID: 30641396.
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Topics: cobalt , Metals , nickel , risk assessment
Vincent MJ , Kozal SJ, Thompson WJ, Maier A, Dotson GS, Best EA, Mundt KA. 2019. Ethylene oxide: Cancer evidence integration and dose-response implications. Dose Response 17(4):1559325819888317; doi: 10.1177/1559325819888317 . PMID:3185323510.
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Topics: Air Quality , Cancer
Helman G, Shah I, Williams AJ, Edwards J, Dunne J, Patlewicz G . 2019. Generalized Read-Across (GenRA): A workflow implemented into the EPA CompTox Chemicals Dashboard. ALTEX 36(3):462-465; doi: 10.14573/altex.1811292 . PMID: 30741315.
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Topics: NAMs
Storm HM, Shepard J, Czerkies LM, Kineman B, Cohen SS, Reichert H , Carvalho R. 2019. 2’-Fucosyllactose is well tolerated in a 100% whey, partially hydrolyzed infant formula with Bifidobacterium lactis : A randomized controlled trial. Global Pediat Health 6(March 15):2333794X19833995; doi: 10.1177/2333794X19833995 . PMID: 30906817.
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Topics: Food science
Wheeler MW , Piegorsch WW, Bailer AJ. 2019. Quantal risk assessment database: A database for exploring patterns in quantal dose‐response data in risk assessment and its application to develop priors for Bayesian dose‐response analysis. Risk Anal 39(3):616-29; doi: 10.1111/risa.13218 . PMID: 30368842.
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Topics: Bayesian modeling , benchmark dose estimation (BMD) , dose-response , risk analysis , risk assessment
Wheeler MW . 2019. Bayesian additive adaptive basis tensor product models for modeling high dimensional surfaces: An application to high-throughput toxicity testing. Biometrics 75(1):193-201; doi: 10.1111/biom.12942 . PMID: 30081432.
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Topics: Bayesian modeling , dose-response , modeling
Clewell RA, Thompson CM , Clewell HJ. 2019. Dose-dependence of chemical carcinogenicity: Biological mechanisms for thresholds and implications for risk assessment. Chem Biol Interact 301(March 1):112–127; doi: 10.1016/j.cbi.2019.01.025 . PMID: 30763550.
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Topics: carcinogens , risk assessment
Buerger AN , Schmidt J, Chase A, Paixao C, Patel TN, Brumback BA, et al. 2019. Examining the responses of the zebrafish (Danio rerio ) gastrointestinal system to the suspected obesogen diethylhexyl phthalate. Environ Pollut 245(Feb):1086–1094; doi: 10.1016/j.envpol.2018.11.032 . PMID: 30682743.
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Topics: phthalates
Pradeep P, Carlson LM, Judson R, Lehmann GM, Patlewicz G . 2019. Integrating data gap filling techniques: A case study predicting TEFs for neurotoxicity TEQs to facilitate the hazard assessment of polychlorinated biphenyls. Regul Toxicol Pharmacol 101(Feb):12-23; doi: 10.1016/j.yrtph.2018.10.013 . PMID: 30359698.
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Topics: PCBs
Brixner D, Ermakova A, Xiong Y, Sieradzan R, Sacks NC , Cyr PL , Taylor S. 2019. Clinical and economic outcomes of patients with type 2 diabetes on multiple daily injections of basal-bolus insulin (MDI) therapy: A retrospective cohort study. Clin Therapeut 41(2):303–313; doi: 10.1016/j.clinthera.2018.12.014 ; PMID: 30709610.
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