Journal Article
Monica L Vermillion Maier, Siddens, L. K., Pennington, J. M., Uesugi, S. L., Labut, E. M., Vertel, E. A., Anderson, K. A., Tidwell, L. G., Tilton, S. C., Ognibene, T. J., Turteltaub, K. W., Smith, J. N., and Williams, D. E., “Impact of phenanthrene co-administration on the toxicokinetics of benzo[a]pyrene in humans. UPLC-accelerator mass spectrometry following oral microdosing.”, Chem Biol Interact, vol. 382, p. 110608, 2023.
S. Dasgupta, Wang, G., Simonich, M. T., Zhang, T., Truong, L., Liu, H., and Tanguay, R. L., “Impacts of high dose 3.5 GHz cellphone radiofrequency on zebrafish embryonic development.”, PLoS One, vol. 15, no. 7, p. e0235869, 2020.
C. Ghetu, Scott, R. P., Wilson, G., Liu-May, R., and Anderson, K. A., “Improvements in identification and quantitation of alkylated PAHs and forensic ratio sourcing.”, Anal Bioanal Chem, vol. 413, no. 6, pp. 1651-1664, 2021.
S. M. Samon, Barton, M., Anderson, K., Oluyomi, A., Bondy, M., Armstrong, G., and Rohlman, D., “Integrating participant feedback and concerns to improve community and individual level chemical exposure assessment reports.”, BMC Public Health, vol. 23, no. 1, p. 1732, 2023.
M. E. Romano, Gallagher, L., Doherty, B. T., Yeum, D., Lee, S., Takazawa, M., Anderson, K. A., Kannan, K., and Karagas, M. R., “Inter-method reliability of silicone exposome wristbands and urinary biomarker assays in a pregnancy cohort.”, Environ Res, vol. 214, no. Pt 3, p. 113981, 2022.
J. A. Bouranis, Beaver, L. M., Jiang, D., Choi, J., Wong, C. P., Davis, E. W., Williams, D. E., Sharpton, T. J., Stevens, J. F., and Ho, E., “Interplay between Cruciferous Vegetables and the Gut Microbiome: A Multi-Omic Approach.”, Nutrients, vol. 15, no. 1, 2022.
D. J. Wallis, La Du, J., Thunga, P., Elson, D., Truong, L., Kolluri, S. K., Tanguay, R. L., and Reif, D. M., “Leveraging a High-Throughput Screening Method to Identify Mechanisms of Individual Susceptibility Differences in a Genetically Diverse Zebrafish Model.”, Front Toxicol, vol. 4, p. 846221, 2022.
A. J. Green, Mohlenkamp, M. J., Das, J., Chaudhari, M., Truong, L., Tanguay, R. L., and Reif, D. M., “Leveraging high-throughput screening data, deep neural networks, and conditional generative adversarial networks to advance predictive toxicology.”, PLoS Comput Biol, vol. 17, no. 7, p. e1009135, 2021.
B. N. Rivera, Ghetu, C. C., Chang, Y., Truong, L., Tanguay, R. L., Anderson, K. A., and Tilton, S. C., “Leveraging Multiple Data Streams for Prioritization of Mixtures for Hazard Characterization.”, Toxics, vol. 10, no. 11, 2022.
K. T. To, St Mary, L., Wooley, A. H., Wilbanks, M. S., Bednar, A. J., Perkins, E. J., Truong, L., Tanguay, R. L., and Garcia-Reyero, N., “Morphological and Behavioral Effects in Zebrafish Embryos after Exposure to Smoke Dyes.”, Toxics, vol. 9, no. 1, 2021.
L. Truong, Marvel, S., Reif, D. M., Thomas, D. G., Pande, P., Dasgupta, S., Simonich, M. T., Waters, K. M., and Tanguay, R. L., “The multi-dimensional embryonic zebrafish platform predicts flame retardant bioactivity.”, Reprod Toxicol, vol. 96, pp. 359-369, 2020.
M. C. McLaughlin, Blotevogel, J., Watson, R. A., Schell, B., Blewett, T. A., Folkerts, E. J., Goss, G. G., Truong, L., Tanguay, R. L., Argueso, J. Lucas, and Borch, T., “Mutagenicity assessment downstream of oil and gas produced water discharges intended for agricultural beneficial reuse.”, Sci Total Environ, vol. 715, p. 136944, 2020.
E. Riudor, “Neonatal onset in fatty acid oxidation disorders: how can we minimize morbidity and mortality?”, J Inherit Metab Dis, vol. 21, no. 6, pp. 619-23, 1998.
M. García-Jaramillo, Beaver, L. M., Truong, L., Axton, E. R., Keller, R. M., Prater, M. C., Magnusson, K. R., Tanguay, R. L., Stevens, J. F., and Hord, N. G., “Nitrate and nitrite exposure leads to mild anxiogenic-like behavior and alters brain metabolomic profile in zebrafish.”, PLoS One, vol. 15, no. 12, p. e0240070, 2020.
R. M. Keller, Beaver, L. M., Prater, M. C., Truong, L., Tanguay, R. L., Stevens, J. F., and Hord, N. G., “Nitrate exposure reprograms hepatic amino acid and nutrient sensing pathways prior to exercise: A metabolomic and transcriptomic investigation in zebrafish .”, Front Mol Biosci, vol. 9, p. 903130, 2022.
R. M. Keller, Beaver, L. M., Reardon, P. N., Prater, M. C., Truong, L., Robinson, M. M., Tanguay, R. L., Stevens, J. F., and Hord, N. G., “Nitrate-induced improvements in exercise performance are coincident with exuberant changes in metabolic genes and the metabolome in zebrafish () skeletal muscle.”, J Appl Physiol (1985), vol. 131, no. 1, pp. 142-157, 2021.
J. S. Koning, Subramanian, A., Alotaibi, M., Appel, C. L., Sullivan, C. M., Chao, T., Truong, L., Tanguay, R. L., Jaiswal, P., Levi, T., and Lesmeister, D. B., “Njobvu-AI: An open-source tool for collaborative image labeling and implementation of computer vision models”, arXiv, In Press.
H. Parhizkar, Fretz, M., Laguerre, A., Stenson, J., Corsi, R. L., Van Den Wymelenberg, K. G., and Gall, E. T., “A novel VOC breath tracer method to evaluate indoor respiratory exposures in the near- and far-fields.”, Res Sq, 2022.
H. Parhizkar, Fretz, M., Laguerre, A., Stenson, J., Corsi, R. L., Van Den Wymelenberg, K. G., and Gall, E. T., “A novel VOC breath tracer method to evaluate indoor respiratory exposures in the near- and far-fields; implications for the spread of respiratory viruses.”, J Expo Sci Environ Epidemiol, vol. 33, no. 3, pp. 339-346, 2023.
J. M. Huizenga, Schindler, J., Simonich, M. T., Truong, L., García-Jaramillo, M., Tanguay, R. L., and Semprini, L., “PAH bioremediation with Rhodococcus rhodochrous ATCC 21198: Impact of cell immobilization and surfactant use on PAH treatment and post-remediation toxicity.”, J Hazard Mater, vol. 470, p. 134109, 2024.
T. A. Arcury, Chen, H., Arnold, T. J., Quandt, S. A., Anderson, K. A., Scott, R. P., Talton, J. W., and Daniel, S. S., “Pesticide exposure among Latinx child farmworkers in North Carolina.”, Am J Ind Med, vol. 64, no. 7, pp. 602-619, 2021.
S. Dasgupta, Dunham, C. L., Truong, L., Simonich, M. T., Sullivan, C. M., and Tanguay, R. L., “Phenotypically Anchored mRNA and miRNA Expression Profiling in Zebrafish Reveals Flame Retardant Chemical Toxicity Networks.”, Front Cell Dev Biol, vol. 9, p. 663032, 2021.
L. M. Bramer, Dixon, H. M., Rohlman, D., Scott, R. P., Miller, R. L., Kincl, L., Herbstman, J. B., Waters, K. M., and Anderson, K. A., “PM Is Insufficient to Explain Personal PAH Exposure.”, Geohealth, vol. 8, no. 2, p. e2023GH000937, 2024.
S. M. McLarnan, Bramer, L. M., Dixon, H. M., Scott, R. P., Calero, L., Holmes, D., Gibson, E. A., Cavalier, H. M., Rohlman, D., Miller, R. L., Kincl, L., Waters, K. M., Anderson, K. A., and Herbstman, J. B., “Predicting personal PAH exposure using high dimensional questionnaire and wristband data.”, J Expo Sci Environ Epidemiol, 2024.
A. J. Green, Truong, L., Thunga, P., Leong, C., Hancock, M., Tanguay, R. L., and Reif, D. M., “Preprint: Deep autoencoder-based behavioral pattern recognition outperforms standard statistical methods in high-dimensional zebrafish studies.”, bioRxiv, 2023.

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