Postdoc Associate
Department of Pharmacology and Toxicology, School of Medicine, University of Louisville
505 S Hancock Street, Louisville, KY 40202
Email: xiaoqing.wang@louisville.edu
Dr. Wang's academic training and research experience have provided me with an excellent background in multiple disciplines, including molecular biology, biochemistry, molecular toxicology, computational toxicology, aquatic biology, artificial intelligence machine learning, and deep learning.
Moreover, Dr. Wang also focuses on characterizing mechanisms via cell-based assays and biologically informed artificial intelligence (machine learning and deep learning) models. My current research has focused on identifying and validating biomarkers for the prevention of fetal alcohol spectrum disorder (FASD).
In addition to the research works described above, Dr. Wang also established high-performance computing server platforms and database platforms and web pages, such as Marine Ecotoxicology Databases and Nanotoxicity Databases.
Molecular biology, developmental toxicology, epigenetic regulation, CRISPR/Cas9 technology, human embryonic stem cells, cell techniques, high-throughput omics, artificial intelligence, machine learning and deep learning, computational toxicology, and zebrafish models
1. Wang, XQ.; Bai, M.; Liu, J.; Chen, S. Y. Unraveling the mechanisms underlying ethanol-induced disruptions in neural crest cell development through biologically informed deep learning by artificial intelligence. Alcohol Clin Exp Res. 2024, 48 (S1), 375
2. Wang XQ, Li F, Meng XJ, Xia CL, Ji CL, Wu HF. Abnormality of mussel in the early developmental stages induced by graphene and triphenyl phosphate: In silico toxicogenomic data-mining, in vivo, and toxicity pathway-oriented approach. Aquatic Toxicology, 2023, 263: 106674. DOI: 10.1016/j.aquatox.2023.106674. PMID: 37666107.
3. Wang XQ, Li F, Teng YF, Ji CL, Wu HF. Characterization of oxidative damage induced by nanoparticles via mechanism-driven machine learning approaches. Science of The Total Environment, 2023, 781, 162103. DOI: 10.1016/j.scitotenv.2023.162103. PMID: 36764549.
4. Wang XQ, Li F, Teng YF, Ji CL, Wu HF. Potential adverse outcome pathways with hazard identification of organophosphate esters. Science of The Total Environment, 2022, 851:158093. DOI: 10.1016/j.scitotenv.2022.158093.
5. Wang XQ, Li F, Chen JW, Teng YF, Ji CL, Wu HF. Critical features identification for chemical chronic toxicity based on mechanistic forecast models. Environmental Pollution, 2022, 307: 119584. DOI: 10.1016/j.envpol.2022.119584.
6. Wang XQ, Teng YF, Ji CL, Wu HF, Li F. Critical target identification and human health risk ranking of metal ions based on mechanism-driven modeling. Chemosphere, 2022, 301: 134724. DOI: 10.1016/j.chemosphere.2022.134724.
7. Wang XQ, Wang L, Li F, Teng YF, Ji CL, Wu HF. Toxicity pathways of lipid metabolic disorders induced by typical replacement flame retardants via data-driven analysis, in silico and in vitro approaches. Chemosphere, 2022, 287: 132419. DOI: 10.1016/j.chemosphere.2021.132419.
8. Wang XQ, Li F, Liu JL, Li QY, Ji CL, Wu HF. 2021. New insights into the mechanism of hepatocyte apoptosis induced by typical organophosphate ester: An integrated in vitro and in silico approach. Ecotoxicology and Environmental Safety, 2022, 219: 112342. DOI: 10.1016/j.ecoenv.2021.112342.
9. Wang XQ, Li F, Chen JW, Ji CL, Wu HF. 2021. Integration of computational toxicology, toxicogenomics data mining, and omics techniques to unveil toxicity pathways. ACS Sustainable Chemistry & Engineering, 2021, 9: 4130-4138. DOI: 10.1021/acssuschemeng.0c09196.
10. Wang XQ, Li F, Liu JL, Ji CL, Wu HF. Transcriptomic, proteomic and metabolomic profiling unravel the mechanisms of hepatotoxicity pathway induced by triphenyl phosphate (TPP). Ecotoxicology and Environmental Safety, 2020, 205: 111126. DOI: 10.1016/j.ecoenv.2020.111126.
11. Wang XQ, Meng XJ, Li F, Ding JW, Ji CL, Wu HF. The critical factors affecting typical organophosphate flame retardants to mimetic biomembrane: An integrated in vitro and in silico study. Chemosphere, 2019, 226: 159-165. DOI: 10.1016/j.chemosphere.2019.03.130.
12. Wang XQ, Liu JL, Li F, et al. The mechanisms on apoptosis of human embryonic kidney cells 293 (HEK293) induced by triphenyl phosphate (TPP) and tris(2-chloroisopropyl) phosphate (TCPP). Asian Journal of Ecotoxicology, 2019, 14(5): 123-132. DOI: 10.7524/AJE.1673-5897.20190128001.
13. Lü L, Bai M, Wang XQ, Liu J, Wu X, Zhang HG, Feng W, Chen SY. Ethanol exposure impaired mitotic division in apical radial glial cells and disrupted early cortical development in human forebrain organoids: Implications for ethanol-induced microcephaly. Toxicology, 2025, 517: 154244. PMID: 40729939.
14. Zhang H, Wang XQ, Song R, Ding W, Li F, Ji L. Emerging metabolic profiles of sulfonamide antibiotics by cytochromes p450: A computational–experimental synergy study on emerging pollutants. Environmental Science & Technology, 2023, 57, 5368-5379. DOI: 10.1021/acs.est.3c00071.
15. Li F, Meng XJ, Wang XQ, Ji CL, Wu HF. Graphene-triphenyl phosphate (TPP) co-exposure in the marine environment: Interference with metabolism and immune regulation in mussel Mytilus galloprovincialis. Ecotoxicology and Environmental Safety, 2021, 227: 112904. DOI: 10.1016/j.ecoenv.2021.112904.
16. Meng XJ, Li F, Wang XQ, Liu JL, Ji CL, Wu HF. Toxicological effects of graphene on mussel Mytilus galloprovincialis hemocytes after individual and combined exposure with triphenyl phosphate. Marine Pollution Bulletin, 2020, 151: 110838. DOI: 10.1016/j.marpolbul.2019.110838.
17. Sun T, Wu HF, Wang XQ, Ji CL, Shan XJ, Li F. Evaluation on the biomagnification or biodilution of trace metals in global marine food webs by meta-analysis. Environmental Pollution, 2020, 264: 113856. DOI: 10.1016/j.envpol.2019.113856.
18. Meng XJ, Li F, Wang XQ, Liu JL, Ji CL, Wu HF. Combinatorial immune and stress response, cytoskeleton and signal transduction effects of graphene and triphenyl phosphate (TPP) in mussel Mytilus galloprovincialis. Journal of Hazardous Materials, 2019, 378: 120778. DOI: 10.1016/j.jhazmat.2019.120778.
19. Wang XQ, Bai M, Liu J, Wang S, Chen SY. Prioritizing premising epigenetic therapeutic strategies for preventing fetal alcohol spectrum disorders through target representation learning (To be submitted).
1. Wang XQ, Li F, Liu JL, Wu HF, Ji CL. Methods for assessing and predicting damage to simulated biofilms caused by organophosphate flame retardants, 2018.09.19; 201811094639.5, Invention patent, Authorized.
2. Li F, Wang XQ, Teng YF. Chapter 38 QSAR models in marine ecotoxicology and risk assessment, QSAR in safety evaluation and risk assessment, edited by Hong H, Academic Press, 2023, 523-532.
3. Li F, Wang XQ. Chapter 9 Computational toxicological prediction and evaluation of organophosphates, Exposure, toxicity mechanism and environmental risk assessment of organophosphates, edited by Wang Z and Xu Y, Science Press. 2019, 149-162.
4. Wu HF, Li F, Ji CL, Lu Z, Sun T, Meng XJ, Wang S, Wang XQ. Chapter 14 Biotoxicity, bio-monitoring and ecological risks of offshore environmental pollutants (brominated flame retardants), Eco-environment and sustainable management in the coastal zone, edited by Luo Y, Science Press. 2021, 319-356.
2023 – Present Postdoctoral Researcher, Department of Pharmacology and Toxicology, University of Louisville
2023 – Present Post-Doc member of the Research Society on Alcoholism (RSA) (USA)
2025 – Present Early Career Editorial Board (ECEB) member, Cells (Impact factor: 5.2)
2025 RSA Junior Investigator Award, USA
2024 RSA Junior Investigator Award, USA
2023 Special Prize of the President Scholarship of Chinese Academy of Sciences
2022-2023 Merit Student, University of Chinese Academy of Sciences
2022 Zhu Li Yuehua Outstanding Doctoral Scholarship, University of Chinese Academy of Sciences
2021-2022 Merit Student, University of Chinese Academy of Sciences
2020 National Scholarship, Ministry of Education of the People's Republic of China
2019 Liu Ruiyu Marine Science Scholarship, University of Chinese Academy of Science
2018 Merit Student, University of Chinese Academy of Sciences