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Read the publications that were written using our BBMD tool and about Dream Tech in the news.

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ToxDT is in Beta Testing

September 15, 2026 Tech News

Our new Toxicological Digital Twin is available at toxdt.com for closed Beta testing. ToxDT uses ...

BBMD Used to Model Cancer Risk

May 25, 2023 Tech News

“Science and Decisions” (the silver book) published by the National Academies of Sciences, ...

Publications Related to BBMD

Citations for: Shao K, Shapiro AJ. (2018). A Web-Based System for Bayesian Benchmark Dose Estimation. Environ Health Perspect. 126(1):017002. http://dx.doi.org/10.1289/EHP1289.1-48.

Aerts, M. K., Cécile; Solazzo, Efisio; Cortiñas Abrahantes, José. (2026). A new bayesian framework for dose-response modelling and benchmark dose determination. Human & Experimental Toxicology, 45(NA), NA-NA. https://doi.org/10.1177/09603271261464797

Alamri, F. S. ; B., Edward L. ;. Edwards, David J. (2019). Monotonic Nonparametric Dose Response Model. arXiv: Applications, NA(NA), NA-NA.

Alamri, F. S. ; B., Edward L. ;. Edwards, David J. (2021). A Bayesian Monotonic Non-parametric Dose-Response Model. Human and Ecological Risk Assessment: An International Journal, 27(8), 2104–2123. https://doi.org/10.1080/10807039.2021.1956298

Bioinformatics, I. I. for B. and statistical. (2022). EFSA Platform for Bayesian Benchmark Dose Analysis. EFSA Supporting Publications, 19(12), NA-NA. https://doi.org/10.2903/sp.efsa.2022.en-7740

Brunken, L. V. S., A; Öberg, M. (2025). Selection of the critical effect size alters hazard characterization—A retrospective analysis of key studies used for risk assessments of PFAS. Frontiers in Toxicology, 7(NA), 1525089–1525089. https://doi.org/10.3389/ftox.2025.1525089

Chang, Y. H., Celine Thanh Thu; Bastin, Kelley M. ;. Rivera, Brianna N. ;. Siddens, Lisbeth K. ;. Tilton, Susan C. (2020). Classifying polycyclic aromatic hydrocarbons by carcinogenic potency using in vitro biosignatures. Toxicology in Vitro : An International Journal Published in Association with BIBRA, 69(NA), 104991–104991. https://doi.org/10.1016/j.tiv.2020.104991

Chen, Q. C., Wei-Chun; Lin, Zhoumeng. (2022). Integration of Toxicogenomics and Physiologically Based Pharmacokinetic Modeling in Human Health Risk Assessment of Perfluorooctane Sulfonate. Environmental Science & Technology, 56(6), 3623–3633. https://doi.org/10.1021/acs.est.1c06479

Chen, Q. Z., Yun; Ji, Chao; Klaunig, James E; Shao, Kan. (2023). Quantitative Integration of Mode of Action Information in Dose-Response Modeling and POD Estimation for Nonmutagenic Carcinogens: A Case Study of TCDD. Environmental Health Perspectives, 131(12), 127022–127022. https://

doi.org/10.1289/ehp12677

Chen, S. L., Xilin; Wu, Qiangen; Li, Yuxi; Puig, Montserrat; Moulin, Frederic; Choudhuri, Supratim; Gingrich, Jeremy; Guo, Lei. (2024). Investigation of cannabidiol-induced cytotoxicity in human hepatic cells. Toxicology, 506(NA), 153884–153884. https://doi.org/10.1016/j.tox.2024.153884

Chen, S. L., Yuxi; Li, Xilin; Mei, Nan; He, Xiaobo; Bryant, Matthew S; Qin, Xuan; Li, Feng; Guo, Lei. (2025). Mechanistic study of pexidartinib-induced toxicity in human hepatic cells. Chemico-Biological Interactions, 419(NA), 111641–111641. https://doi.org/10.1016/j.cbi.2025.111641

Chen, S. L., Yuxi; Puig, Montserrat; Moulin, Frederic; Choudhuri, Supratim; Gingrich, Jeremy; Guo, Lei. (2025). Mechanistic study of the cytotoxicity of cannabidiol and its metabolites in HepG2 cells. Archives of Toxicology, 100(3), 1007–1022. https://doi.org/10.1007/s00204-025-04236-4

Chiu, W. A. ; A., Daniel A. ;. Dalaijamts, Chimeddulam; Dockins, Chris; Shao, Kan; Shapiro, Andrew J. ;. Paoli, Greg. (2018). Beyond the RfD: Broad Application of a Probabilistic Approach to Improve Chemical Dose-Response Assessments for Noncancer Effects. Environmental Health Perspectives, 126(6), 067009–067009. https://doi.org/10.1289/ehp3368

Chiu, W. A. ; P., Greg. (2020). Recent Advances in Probabilistic Dose-Response Assessment to Inform Risk-Based Decision Making. Risk Analysis : An Official Publication of the Society for Risk Analysis, 41(4), 596–609. https://doi.org/10.1111/risa.13595

Chou, W.-C. L., Zhoumeng. (2020). Probabilistic human health risk assessment of perfluorooctane sulfonate (PFOS) by integrating in vitro, in vivo toxicity, and human epidemiological studies using a Bayesian-based dose-response assessment coupled with physiologically based pharmacokinetic (PBPK) modeling approach. Environment International, 137(NA), 105581-NA. https://doi.org/10.1016/j.envint.2020.105581

Costa, E. J., Kamin J; Walker, Carl A; O’Brien, Jason M. (2024). Transcriptomic point of departure determination: A comparison of distribution-based and gene set-based approaches. Frontiers in Genetics, 15(NA), 1374791–1374791. https://doi.org/10.3389/fgene.2024.1374791

Coyle, J. B., Bradley; Harbison, Raymond; Shao, Kan; Hayes, A. Wallace; Johnson, Giffe. (2025). Probabilistic risk assessment approaches better protect susceptible populations. Integrated Environmental Assessment and Management, 21(6), 1368–1380. https://doi.org/10.1093/inteam/vjaf101

De Pretis, F. L., Jürgen; Osimani, Barbara. (2019). E-Synthesis: A Bayesian Framework for Causal Assessment in Pharmacosurveillance. Frontiers in Pharmacology, 10(NA), 1317–1317. https://doi.org/10.3389/fphar.2019.01317

De Pretis, F. O., Barbara. (2019). New Insights in Computational Methods for Pharmacovigilance: E-Synthesis, a Bayesian Framework for Causal Assessment. International Journal of Environmental Research and Public Health, 16(12), 2221-NA. https://doi.org/10.3390/ijerph16122221

De Pretis, F. Z., Yun; Shao, Kan. (2024). Benchmark dose modeling for epidemiological dose-response assessment using case-control studies. Risk Analysis : An Official Publication of the Society for Risk Analysis, 45(6), 1386–1398. https://doi.org/10.1111/risa.17671

De Pretis, F. Z., Yun; Xun, Pengcheng; Shao, Kan. (2023). Benchmark dose modeling for epidemiological dose-response assessment using prospective cohort studies. Risk Analysis : An Official Publication of the Society for Risk Analysis, 44(4), 743–756. https://doi.org/10.1111/risa.14196

Degnan, D. J. B., Lisa M; Truong, Lisa; Tanguay, Robyn L; Gosline, Sara M; Waters, Katrina M. (2025). bmdrc: Python package for quantifying phenotypes from chemical exposures with benchmark dose modeling. PLoS Computational Biology, 21(7), e1013337–e1013337. https://doi.org/10.1371/journal.pcbi.1013337

Desai, S. W., Jewell; Ji, Chao; Sautner, Jason; Prussia, Andrew J; Demchuk, Eugene; Mumtaz, M. Moiz; Ruiz, Patricia. (2024). The Role of Simulation Science in Public Health at the Agency for Toxic Substances and Disease Registry: An Overview and Analysis of the Last Decade. Toxics, 12(11), 811–811. https://doi.org/10.3390/toxics12110811

Dolan, D. G. ; B., Joel P. ;. Graham, Jessica C. ;. Barle, Ester L. (2023). Occupational Toxicology in the Pharmaceutical Industry. Patty’s Toxicology, NA(NA), 1–39. https://doi.org/10.1002/0471125474.tox112.pub3

Du, N. C., Yang; Qian, Yu. (2025). BayesCurveFit: Enhancing Curve Fitting for Early-Stage Compound Screening Using Bayesian Inference. bioRxiv : The Preprint Server for Biology, NA(NA), NA-NA. https://doi.org/10.1101/2025.02.23.639769

Edler, L. (2020a). Benchmark Dose Approach in Regulatory Toxicology. In Regulatory Toxicology: NA (NA, pp. 1–36). https://doi.org/10.1007/978-3-642-36206-4_93-2

Edler, L. (2020b). Regulatory Toxicology—Benchmark Dose Approach in Regulatory Toxicology. In NA: NA (NA, pp. 339–374).

Edler, L. (2021). Benchmark Dose Approach in Regulatory Toxicology. In Regulatory Toxicology: NA (NA, pp. 339–374). https://doi.org/10.1007/978-3-030-57499-4_93

Fang, K. X., Yu-Xin; Wang, Han; Li, Ming-Kun; Jiang, Si-Yuan; Liu, Chen-Jun; Yang, Xin; Wei, Su-Wan; Xiao, Jin-Jing; Shi, Yan-Hong; Cao, Hai-Qun. (2023). In vitro inhalation bioaccessibility and health risk assessment of difenoconazole in the atmosphere. Pest Management Science, 80(2), 837–845. https://doi.org/10.1002/ps.7811

Gomez-Villalba, L. S. S., Ciro; Fort, Rafael. (2023). Application of Inorganic Nanomaterials in Cultural Heritage Conservation, Risk of Toxicity, and Preventive Measures. Nanomaterials (Basel, Switzerland), 13(9), 1454–1454. https://doi.org/10.3390/nano13091454

Green, J. W. ; F., Manousos; Fredricks, Timothy; Bean, Thomas; Maul, Jonathan; Plautz, Stephanie; Valverde, Pablo; Schapaugh, Adam; Sopko, Xiaoyi; Gao, Zhenglei. (2022). Statistical analysis of avian reproduction studies. Environmental Sciences Europe, 34(1), NA-NA. https://doi.org/10.1186/s12302-022-00603-5

Guo, X. X., Hannah; Seo, Ji-Eun. (2024). Application of HepaRG cells for genotoxicity assessment: A review. Journal of Environmental Science and Health. Part C, Toxicology and Carcinogenesis, 42(3), 214–237. https://doi.org/10.1080/26896583.2024.2331956

Hatherell, S. B., Maria Teresa; Reynolds, Joe; Carmichael, Paul L. ;. Dent, Matthew P. ;. Li, Hequn; Ryder, Stephanie; White, Andrew; Walker, Paul; Middleton, Alistair. (2020). Identifying and Characterizing Stress Pathways of Concern for Consumer Safety in Next-Generation Risk Assessment. Toxicological Sciences : An Official Journal of the Society of Toxicology, 176(1), 11–33. https://doi.org/10.1093/toxsci/kfaa054

Hsieh, N.-H. C., Zunwei; Rusyn, Ivan; Chiu, Weihsueh A. (2021). Risk Characterization and Probabilistic Concentration-Response Modeling of Complex Environmental Mixtures Using New Approach Methodologies (NAMs) Data from Organotypic in Vitro Human Stem Cell Assays. Environmental Health Perspectives, 129(1), 17004-NA. https://doi.org/10.1289/ehp7600

Hsieh, N.-H. K., Eric S. C. (2025). Biomonitoring-Based Risk Assessment of Pyrethroid Exposure in the U.S. Population: Application of High-Throughput and Physiologically Based Kinetic Models. Toxics, 13(3), 216–216. https://doi.org/10.3390/toxics13030216

Huang, J. R., Yueming; Lu, Wenyuan; Chen, Qi; Yang, Liu; Ding, Zhen; Chen, Qianyu; Sun, Hong. (2026). Serum synthetic phenolic antioxidants, transformation products, and thyroid homeostasis in adults from eastern China: Association and benchmark dose assessment. Environment International, 215(NA), 110450-NA. https://doi.org/10.1016/j.envint.2026.110450

Jang, S. S., Kan; Chiu, Weihsueh A. (2023). Beyond the cancer slope factor: Broad application of Bayesian and probabilistic approaches for cancer dose-response assessment. Environment International, 175(NA), 107959–107959. https://doi.org/10.1016/j.envint.2023.107959

Jensen, S. M. K., Felix M. ;. Streibig, Jens C. ;. Cedergreen, Nina; Ritz, Christian. (2020). bmd: An R package for benchmark dose estimation. PeerJ, 8(NA), e10557-NA. https://doi.org/10.7717/peerj.10557

Ji, C. S., Kan. (2023). The Effect of Historical Data-Based Informative Prior on Benchmark Dose Estimation of Toxicogenomics. Chemical Research in Toxicology, 36(8), 1345–1354. https://doi.org/10.1021/acs.chemrestox.3c00088

Ji, C. W., Andrew; Shao, Kan. (2022). A computational system for Bayesian benchmark dose estimation of genomic data in BBMD. Environment International, 161(NA), 107135–107135. https://doi.org/10.1016/j.envint.2022.107135

Ji, X. Z., Yun; Xiao, Yingping; Lyu, Wentao; Wang, Wen; Shao, Kan; Yang, Hua. (2024). A tiered approach of hazard-prioritization and risk-ranking for chemical hazards in food commodities: Application for selected mycotoxins. Food Research International (Ottawa, Ont.), 178(NA), 113946–113946. https://doi.org/10.1016/j.foodres.2024.113946

Ji, Y. W., Jose; Xiang, Mingdeng; Cao, Hongbin; Zhang, Wensheng. (2025). Enhanced MOA-based probabilistic dose-response assessment: Integrating alternative fitting functions and validating early-stage data extrapolation. Ecotoxicology and Environmental Safety, 306(NA), 119291–119291. https://doi.org/10.1016/j.ecoenv.2025.119291

Jia, H. J., Nan; Zhong, Zhaomin; Zhu, Xiaole; Jin, Tongbo; Yang, Qianlei; Wei, Yuanjie; Zhu, Yuanhui; Jin, Tingxu; Lan, Lan; Mei, Ying; Hu, Huai; Guo, Yufei; Fu, Xiaoya; Yao, Jiahe; Zhong, Chongke; An, Yan. (2025). Association of arsenic exposure with adverse birth outcomes: A meta-analysis and a benchmark dose analysis. Environmental Research, 291(NA), 123538–123538. https://doi.org/10.1016/j.envres.2025.123538

Jiang, S. Z., Hao; Zhang, Liying; Zhao, Jian; Zhou, Tianzong; Zhang, Luyun; Liu, Lili; Wang, Qing; Xing, Xiumei; Li, Daochuan. (2025). Human health risk assessment of exposure to heavy rare earth elements based on animal toxicity experiments and physiologically based pharmacokinetic modeling. Environmental Pollution (Barking, Essex : 1987), 390(NA), 127485–127485. https://doi.org/10.1016/j.envpol.2025.127485

Jin, T. H., Tongtong; Zhang, Tianxue; Li, Quan; Yan, Cheng; Wang, Qian; Chen, Xiufang; Zhou, Jing; Sun, Yitong; Bo, Wenqing; Luo, Ziqi; Li, Haodong; An, Yan. (2024). A Bayesian benchmark concentration analysis for urinary fluoride and intelligence in adults in Guizhou, China. The Science of the Total Environment, 925(NA), 171326–171326. https://doi.org/10.1016/j.scitotenv.2024.171326

Jin, T. Y., Xiumei; Zhu, Yuanhui; Yan, Cheng; Yan, Rui; Yang, Qianlei; Huang, Hairu; An, Yan. (2024). Analysis of Acute and Short-Term Fluoride Toxicity in Zebrafish Embryo and Sac-Fry Stages Based on Bayesian Model Averaging. Toxics, 12(12), 902–902. https://doi.org/10.3390/toxics12120902

Jo, S. P., Beomjo; Chung, Yeonseung; Kim, Jeongseon; Lee, Eunji; Lee, Jangwon; Choi, Taeryon. (2021). Bayesian semiparametric mixed effects models for meta-analysis of the literature data: An application to cadmium toxicity studies. Statistics in Medicine, 40(16), 3762–3778. https://doi.org/10.1002/sim.8996

Kim, S.-T. S., Kan; Oleschkewitz, Christine; Hamilton, Ryan. (2023). Margin of exposure to free formaldehyde in personal care products containing formaldehyde-donor preservatives: Evidence for consumer safety. Regulatory Toxicology and Pharmacology : RTP, 145(NA), 105519–105519. https://doi.org/10.1016/j.yrtph.2023.105519

King, L. X., Lili; Chen, Juan; Li, Wanyi; Wang, Qiang; Huang, Yue; Wang, Pei; Liang, Xiaoling; Li, Yonggang; Chen, Liangkai; Shan, Zhilei; Peng, Xiaolin; Liu, Liegang. (2024). Exposure to perchlorate and cardiovascular disease in China: A community-based cross-sectional study and benchmark dose estimation. Environmental Pollution (Barking, Essex : 1987), 366(NA), 125429–125429. https://doi.org/10.1016/j.envpol.2024.125429

Korchevskiy, A. (2020). Using benchmark dose modeling for the quantitative risk assessment: Carbon nanotubes, asbestos, glyphosate. Journal of Applied Toxicology : JAT, 41(1), 148–160. https://doi.org/10.1002/jat.4063

Korchevskiy, A. A. W., Ann G. (2023). Toxicological and epidemiological approaches to carcinogenic potency modeling for mixed mineral fiber exposure: The case of fibrous balangeroite and chrysotile. Inhalation Toxicology, 35(7–8), 185–200. https://doi.org/10.1080/08958378.2023.2213720

Kuang, H.-X. D., Chen-Yin; Yan, Lei; Zhou, Yang; Xiang, Ming-Deng; Yu, Yun-Jiang. (2024). Exposure to synthesized tribromobisphenol A and critical effects: Metabolic pathways, disease signature, and benchmark dose derivation. The Science of the Total Environment, 932(NA), 173117–173117. https://doi.org/10.1016/j.scitotenv.2024.173117

Kuang, H.-X. L., Meng-Yang; Zeng, Xiao-Wen; Chen, Da; Zhou, Yang; Zheng, Tong; Xiang, Ming-Deng; Wu, Qi-Zhen; Chen, Xi-Chao; Dong, Guang-Hui; Yu, Yun-Jiang. (2024). Human molybdenum exposure risk in industrial regions of China: New critical effect indicators and reference dose. Ecotoxicology and Environmental Safety, 278(NA), 116400–116400. https://doi.org/10.1016/j.ecoenv.2024.116400

Kullar, S. S. ; S., Kan; Surette, Céline; Foucher, Delphine; Mergler, Donna; Cormier, Pierre; Bellinger, David C. ;. Barbeau, Benoit; Sauvé, Sébastien; Bouchard, Maryse F. (2019). A benchmark concentration analysis for manganese in drinking water and IQ deficits in children. Environment International, 130(NA), 104889-NA. https://doi.org/10.1016/j.envint.2019.05.083

Kvasnicka, J. S., Katerina S. ;. Nguyen, Vy Kim; Huang, Lei; Chiu, Weihsueh A. ;. Burton, G. Allen; Semrau, Jeremy D. ;. Jolliet, Olivier. (2019). Human Health Benefits from Fish Consumption vs. Risks from Inhalation Exposures Associated with Contaminated Sediment Remediation: Dredging of the Hudson River. Environmental Health Perspectives, 127(12), 127004-NA. https://doi.org/10.1289/ehp5034

Lai, J.-F. Z., Ya-Qin; Zhang, Yun-Ting; He, Yu; Tu, Hai-Xin; Yang, Qi; Bao, Wen-Wen; Liang, Li-Xia; Huang, Jing-Wen; Gui, Zhao-Huan; Hu, Li-Wen; Lin, Li-Zi; Zhou, Yang; Xu, Bin; Dong, Guang-Hui; Song, Hui-Dong; Wu, Feng-Hong; Liu, Ru-Qing. (2026). Selenium predominance in heavy metal mixtures is associated with hyperuricemia in Chinese adults: The role of insulin resistance. Frontiers in Public Health, 14(NA), NA-NA. https://doi.org/10.3389/fpubh.2026.1913054

Lampe, B. E., J. Caroline; Haber, L. T; Magurany, Kelly. (2026). Quantitative methods for the risk assessment of drinking water contact chemicals following the NSF/ANSI/CAN 600 Standard—Part II: advanced methods. Toxicology Mechanisms and Methods, 36(7), 1–1114. https://doi.org/10.1080/15376516.2026.2672014

Lent, E. M. L., Glenn J. ;. Johnson, Mark S. (2020). Development of health-based environmental screening levels for insensitive munitions constituents. Human and Ecological Risk Assessment: An International Journal, 27(6), 1543–1567. https://doi.org/10.1080/10807039.2020.1859352

Lent, E. M. S., Thomas; Leach, Glenn J. ;. Johnson, Mark S. (2020). Using Evidence Integration Techniques in the Development of Health-Based Occupational Exposure Levels. International Journal of Toxicology, 40(2), 178–195. https://doi.org/10.1177/1091581820970494

Li, K. Z., Yiping; Li, Ludi; Cui, Kanglong; Li, Yingzi; Li, Chunying; Dai, Yufei; Xiao, Wusheng; Wang, Qi. (2024). Identification of sensitive endpoints for the assessment of phthalates-induced reproductive and developmental toxicity: A literature mining study. Food and Chemical Toxicology : An International Journal Published for the British Industrial Biological Research Association, 188(NA), 114686–114686. https://doi.org/10.1016/j.fct.2024.114686

Li, X. H., Xiaobo; Chen, Si; Guo, Xiaoqing; Bryant, Matthew; Guo, Lei; Manjanatha, Mugimane G. ;. Zhou, Tong; Witt, Kristine L. ;. Mei, Nan. (2020). Evaluation of pyrrolizidine alkaloid-induced genotoxicity using metabolically competent TK6 cell lines. Food and Chemical Toxicology : An International Journal Published for the British Industrial Biological Research Association, 145(NA), 111662–111662. https://doi.org/10.1016/j.fct.2020.111662

Li, X. H., Xiaobo; Le, Yuan; Guo, Xiaoqing; Bryant, Matthew S; Atrakchi, Aisar H; McGovern, Timothy J; Davis-Bruno, Karen L; Keire, David A; Heflich, Robert H; Mei, Nan. (2022). Genotoxicity evaluation of nitrosamine impurities using human TK6 cells transduced with cytochrome P450s. Archives of Toxicology, 96(11), 3077–3089. https://doi.org/10.1007/s00204-022-03347-6

Li, X. L., Yuan; Li, Yuxi; Chen, Si; Guo, Lei; Fu, Xin; Manjanatha, Mugimane G; Mei, Nan. (2024). Evaluation of weak genotoxicity of hydroxychloroquine in human TK6 cells. Toxicology Letters, 393(NA), 84–95. https://doi.org/10.1016/j.toxlet.2024.01.012

Li, X. N., Mengmei; Xiong, Wei; Tian, Lin; Yang, Zhirui; Zhang, Lishi; Chen, Jinyao. (2022). Transcriptomics analysis and benchmark concentration estimating-based in vitro test with IOSE80 cells to unveil the mode of action for female reproductive toxicity of bisphenol A at human-relevant levels. Ecotoxicology and Environmental Safety, 237(NA), 113523–113523. https://doi.org/10.1016/j.ecoenv.2022.113523

Li, Y. L., Xilin; Cournoyer, Patrick; Choudhuri, Supratim; Guo, Lei; Chen, Si. (2023). Induction of apoptosis by cannabidiol and its main metabolites in human Leydig cells. Archives of Toxicology, 97(12), 3227–3241. https://doi.org/10.1007/s00204-023-03609-x

Li, Y. L., Xilin; Wu, Qiangen; Puig, Montserrat; Moulin, Frederic; Choudhuri, Supratim; Gingrich, Jeremy; Guo, Lei; Chen, Si. (2025). 7-Hydroxycannabidiol and 7-carboxycannabidiol induced cytotoxicity via apoptosis and endoplasmic reticulum stress in human hepatic cells. Archives of Toxicology, 99(6), 2627–2638. https://doi.org/10.1007/s00204-025-04001-7

Li, Y. W., Qiangen; Li, Xilin; Cournoyer, Patrick; Choudhuri, Supratim; Guo, Lei; Chen, Si. (2024). Toxicity of cannabidiol and its metabolites in TM3 mouse Leydig cells: A comparison with primary human Leydig cells. Archives of Toxicology, 98(8), 2677–2693. https://doi.org/10.1007/s00204-024-03754-x

Li, Y. Z., Zhenpeng; Jiang, Songhao; Xu, Feng; Tulum, Liz; Li, Kaixuan; Liu, Shu; Li, Suzhen; Chang, Lei; Liddell, Mark; Tu, Fengjuan; Gu, Xuelan; Carmichael, Paul Lawford; White, Andrew; Peng, Shuangqing; Zhang, Qiang; Li, Jin; Zuo, Tao; Kukic, Predrag; Xu, Ping. (2022a). Using NAMs to characterize chemical bioactivity at the transcriptomic, proteomic and phosphoproteomic levels. NA, NA(NA), NA-NA. https://doi.org/10.1101/2022.05.18.492410

Li, Y. Z., Zhenpeng; Jiang, Songhao; Xu, Feng; Tulum, Liz; Li, Kaixuan; Liu, Shu; Li, Suzhen; Chang, Lei; Liddell, Mark; Tu, Fengjuan; Gu, Xuelan; Carmichael, Paul Lawford; White, Andrew; Peng, Shuangqing; Zhang, Qiang; Li, Jin; Zuo, Tao; Kukic, Predrag; Xu, Ping. (2022b). Using transcriptomics, proteomics and phosphoproteomics as new approach methodology (NAM) to define biological responses for chemical safety assessment. Chemosphere, 313(NA), 137359–137359. https://doi.org/10.1016/j.chemosphere.2022.137359

Lian, H. L., Jiong; Miao, Maohua; Chen, Yao; Liang, Hong; Chen, Jiaxian; Luan, Min; Yuan, Wei; Liu, Yinan; Wang, Ziliang. (2024). Associations of gestational exposure to organophosphate esters with thyroid hormones in cord plasma and the safety threshold of exposure in pregnant women. Environmental Research, 267(NA), 120639–120639. https://doi.org/10.1016/j.envres.2024.120639

Liang, B. C., Jinyao; Wang, Liang; Zhang, Leyan; Huang, Shuzhen; Zhou, Yongru; Ni, Mengmei; Zhang, Lishi; Lv, Xiaohua; Li, Xiaomeng. (2024). Mode of action exploration for prostate epithelial cell injury caused by bisphenol A. Ecotoxicology and Environmental Safety, 286(NA), 117228–117228. https://doi.org/10.1016/j.ecoenv.2024.117228

Liu, C. G., Simeng; Guo, Fanjia; Mao, Guangming; Wang, Yuanyang; Xu, Peiwei; Li, Xueqing; Li, Yahui; Chen, Zhijian; Wang, Xiaofeng; Lou, Xiaoming; Mo, Zhe. (2025). Associations of per- and polyfluoroalkyl substances and alternatives with thyroid hormones in pregnant women: A cross-sectional study in China. Ecotoxicology and Environmental Safety, 308(NA), 119498–119498. https://doi.org/10.1016/j.ecoenv.2025.119498

Liu, X. Z., Lei; Liu, Jiaying; Zaya, Gerili; Wang, Yuxin; Xiang, Qian; Li, Jingguang; Wu, Yongning. (2023). 6:2 Chlorinated Polyfluoroalkyl Ether Sulfonates Exert Stronger Thyroid Homeostasis Disruptive Effects in Newborns than Perfluorooctanesulfonate: Evidence Based on Bayesian Benchmark Dose Values from a Population Study. Environmental Science & Technology, 57(31), 11489–11498. https://doi.org/10.1021/acs.est.3c03952

Liu, Y. C., Si; Gao, Xiugong; Eckstrum, Kirsten; Guo, Lei; Campasino, Kayla; Headrick, Kyra. (2026). Translating in vitro mechanistic findings to in vivo toxicity outcomes: A case study of Usnic acid hepatotoxicity. Toxicology and Applied Pharmacology, 512(NA), 117832–117832. https://doi.org/10.1016/j.taap.2026.117832

Long, Q. Z., Zhenpeng; Li, Yuan; Zhong, Yuxu; Liu, Hongyan; Chang, Lei; Ying, Ying; Zuo, Tao; Wang, Yong’an; Xu, Ping. (2023). Phosphoproteome reveals long-term potentiation deficit following treatment of ultra-low dose soman exposure in mice. Journal of Hazardous Materials, 459(NA), 132211–132211. https://doi.org/10.1016/j.jhazmat.2023.132211

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