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Your Environment. Your Health.

Person Details: David M. Reif

Superfund Research Program

David M. Reif

North Carolina State University
Ricks Hall 344, Box 7566
Raleigh, North Carolina 27695
Phone: 919-513-3812
Email: dmreif@ncsu.edu

Projects

Publications

2023

  • Phelps D, Palekar AI, Conley HE, Ferrero G, Driggers JH, Linder KE, Kullman SW, Reif DM, Sheats MK, DeWitt JC, Yoder J. 2023. Legacy and emerging per- and polyfluoroalkyl substances suppress the neutrophil respiratory burst. J Immunotoxicol 20(1):2176953. doi:10.1080/1547691X.2023.2176953 PMID:36788734

2022

  • Carberry C, Koval L, Payton A, Hartwell HJ, Kim YH, Smith GJ, Reif DM, Jaspers I, Gilmour MI, Rager JE. 2022. Wildfires and extracellular vesicles: Exosomal MicroRNAs as mediators of cross-tissue cardiopulmonary responses to biomass smoke. Environ Int 167:doi:10.1016/j.envint.2022.107419 PMID:35863239 PMCID:PMC9389917
  • Cohen Hubal EA, DeLuca NM, Mullikin A, Slover R, Little JC, Reif DM. 2022. Demonstrating a systems approach for integrating disparate data streams to inform decisions on children's environmental health. BMC Public Health 22(1):313. doi:10.1186/s12889-022-12682-3 PMID:35168583 PMCID:PMC8845296
  • Kirkwood KI, Fleming J, Nguyen H, Reif DM, Baker ES, Belcher SM. 2022. Utilizing pine needles to temporally and spatially profile per- and polyfluoroalkyl substances (PFAS). Environ Sci Technol 56:3441-3451. doi:10.1021/acs.est.1c06483 PMID:35175744
  • Roell K, Koval L, Boyles R, Patlewicz G, Ring C, Rider CV, Ward-Caviness C, Reif DM, Jaspers I, Fry RC, Rager JE. 2022. Development of the InTelligence and Machine LEarning (TAME) Toolkit for introductory data science, chemical-biological analyses, predictive modeling, and database mining for environmental health research. Front Toxicol 4:doi:10.3389/ftox.2022.893924 PMID:35812168 PMCID:PMC9257219
  • Shankar P, Garcia GR, La Du JK, Sullivan CM, Dunham CL, Goodale BC, Waters KM, Stanisheuski S, Maier C, Thunga P, Reif DM, Tanguay RL. 2022. The Ahr2-Dependent wfikkn1 gene influences zebrafish transcriptome, proteome, and behavior. Toxicol Sci doi:10.1093/toxsci/kfac037 PMID:35377459
  • Thunga P, Truong L, Rericha Y, La Du JK, Morshead M, Tanguay RL, Reif DM. 2022. Utilizing a population-genetic framework to test for gene-environment interactions between zebrafish behavior and chemical exposure. Toxics 10(12):769. doi:10.3390/toxics10120769 PMID:36548602 PMCID:PMC9781692
  • Truong L, Rericha Y, Thunga P, Marvel S, Wallis DJ, Simonich MT, Field JA, Cao D, Reif DM, Tanguay RL. 2022. Systematic developmental toxicity assessment of a structurally diverse library of PFAS in zebrafish. J Hazard Mater doi:10.1016/j.jhazmat.2022.128615 PMID:35263707 PMCID:PMC8970529
  • Wallis DJ, Du JL, Thunga P, Elson D, Truong L, Kolluri SK, Tanguay RL, Reif DM. 2022. Leveraging a high-throughput screening method to identify mechanisms of individual susceptibility differences in a genetically diverse zebrafish model. Front Toxicol 4:846221. doi:10.3389/ftox.2022.846221 PMID:35573279 PMCID:PMC9098949

2021

  • Fleming J, Marvel S, Motsinger-Reif A, Reif DM. 2021. ToxPi*GIS Toolkit: creating, viewing, and sharing integrative visualizations for geospatial data using ArcGIS. medRxiv doi:10.1101/2021.10.08.21264756 PMID:34671776 PMCID:PMC8528084
  • Gilchrist PO, Alexander AB, Green AJ, Sanders FE, Hooker AQ, Reif DM. 2021. Development of a pandemic awareness STEM outreach curriculum: Utilizing a computational thinking taxonomy framework. Educ Sci (Basel) 11(3):109. doi:10.3390/educsci11030109 PMID:34824997 PMCID:PMC8612627
  • Green AJ, Mohlenkamp MJ, Das J, Chaudhari M, Truong L, Tanguay RL, Reif DM. 2021. Leveraging high-throughput screening data, deep neural networks, and conditional generative adversarial networks to advance predictive toxicology. PLoS Comput Biol 17(7):e1009135. doi:10.1371/journal.pcbi.1009135 PMID:34214078 PMCID:PMC8301607
  • Marvel S, House JS, Wheeler M, Song K, Zhou Y, Wright FA, Chiu WA, Rusyn I, Motsinger-Reif A, Reif DM. 2021. The COVID-19 Pandemic Vulnerability Index (PVI) dashboard: Monitoring county-level vulnerability using visualization, statistical modeling, and machine learning. Environ Health Perspect 129:17701. doi:10.1289/EHP8690 PMID:33400596 PMCID:PMC7785295
  • Odenkirk MT, Reif DM, Baker ES. 2021. Multiomic big data analysis challenges: Increasing confidence in the interpretation of artificial intelligence assessments. Anal Chem 93(22):7763-7773. doi:10.1021/acs.analchem.0c04850 PMID:34029068
  • Thunga P, Truong L, Tanguay RL, Reif DM. 2021. Concurrent evaluation of mortality and behavioral responses: a fast and efficient testing approach for high-throughput chemical hazard identification. Front Toxicol 3:670496. doi:10.3389/ftox.2021.670496 PMID:35295121 PMCID:PMC8915815
  • Wallis DJ, Truong L, La Du JK, Tanguay RL, Reif DM. 2021. Uncovering evidence for endocrine-disrupting chemicals that elicit differential susceptibility through gene-environment interactions. Toxics doi:10.3390/toxics9040077 PMID:33917455 PMCID:PMC8067468

2020

2019

2018

2017

  • Knecht AL, Truong L, Marvel S, Reif DM, Garcia A, Lu C, Simonich MT, Teeguarden J, Tanguay RL. 2017. Transgenerational inheritance of neurobehavioral and physiological deficits from developmental exposure to benzo[a]pyrene in zebrafish. Toxicol Appl Pharmacol 329:148-157. doi:10.1016/j.taap.2017.05.033 PMID:28583304 PMCID:PMC5539966
  • Tilley SK, Reif DM, Fry RC. 2017. Incorporating ToxCast and Tox21 datasets to rank biological activity of chemicals at Superfund sites in North Carolina. Environ Int 101:19-26. doi:10.1016/j.envint.2016.10.006 PMID:28153528 PMCID:PMC5351294
  • Zhang G, Roell K, Truong L, Tanguay RL, Reif DM. 2017. A data-driven weighting scheme for multivariate phenotypic endpoints recapitulates zebrafish developmental cascades. Toxicol Appl Pharmacol 314:109-117. doi:10.1016/j.taap.2016.11.010 PMID:27884602 PMCID:PMC5224523
  • Zhang G, Truong L, Tanguay RL, Reif DM. 2017. A new statistical approach to characterize chemical-elicited behavioral effects in high-throughput studies using zebrafish. PLoS One 12(1):e0169408. doi:10.1371/journal.pone.0169408 PMID:28099482 PMCID:PMC5242475
  • Zhang G, Truong L, Tanguay RL, Reif DM. 2017. Integrating morphological and behavioral phenotypes in developing zebrafish. In: The rights and wrongs of zebrafish: behavioral phenotyping of zebrafish. Springer International Publishing, pp.259-272.

2016

  • Auerbach SS, Filer D, Reif DM, Walker V, Blumberg B, Clegg D, Holloway A, Schlezinger JJ, Srinivasan S, White M, Svoboda D, Judson RR, Bucher JR, Thayer KA. 2016. Identifying environmental chemicals to test for obesity and diabetes outcomes: clues from ToxCast high throughput screening data. Environ Health Perspect 128:1141-1154.
  • Grimm FA, Iwata Y, Sirenko O, Chappell G, Wright FA, Reif DM, Braisted JA, Gerhold D, Yeakley JM, Shepard P, Seligmann B, Roy T, Boogaard PJ, Ketelslegers HB, Rohde A, Rusyn I. 2016. A chemical-biological similarity-based grouping of complex substances as a prototype approach for evaluating chemical alternatives. Green Chem 18(16):4407-4419. doi:10.1039/c6gc01147k PMID:28035192 PMCID:PMC5179981
  • Reif DM, Truong L, Mandrell D, Marvel S, Zhang G, Tanguay RL. 2016. High-throughput characterization of chemical-associated embryonic behavioral changes predicts teratogenic outcomes. Arch Toxicol 90(6):1459-1470. doi:10.1007/s00204-015-1554-1 PMID:26126630 PMCID:PMC4701642
  • Zhang G, Marvel S, Truong L, Tanguay RL, Reif DM. 2016. Aggregate entropy scoring for quantifying activity across endpoints with irregular correlation structure. Reprod Toxicol 62:92-99. doi:10.1016/j.reprotox.2016.04.012 PMID:27132190 PMCID:PMC4905797

2014

2013

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