Publications

2023

98. Chen Q, Yuan L, Chou WC, Cheng YH, He C, Monteiro-Riviere NA, Riviere JE, Lin Z*. (2023). Meta-analysis of nanoparticle distribution in tumors and major organs in tumor-bearing mice. ACS Nano, 17(20):19810-19831. [PMID: 37812732] [PMCID: PMC10604101] https://doi.org/10.1021/acsnano.3c04037

97. Chou WC, Tell LA, Baynes RE, Davis JL, Cheng YH, Maunsell FP, Riviere JE, Lin Z*. (2023). Development and Application of an Interactive Generic Physiologically Based Pharmacokinetic (igPBPK) Model for Adult Beef Cattle and Lactating Dairy Cows to Estimate Tissue Distribution and Edible Tissue and Milk Withdrawal Intervals for Per- and Polyfluoroalkyl Substances (PFAS). Food and Chemical Toxicology, 181:114062. [PMID: 37769896] https://doi.org/10.1016/j.fct.2023.114062

96. Chou WC, Chen Q, Cheng YH, He C, Monteiro-Riviere NA, Riviere JE, Lin Z*. (2023). An artificial intelligence-assisted physiologically-based pharmacokinetic model to predict nanoparticle delivery to tumors in mice. Journal of Controlled Release, 361:53-63. [PMID: 37499908] https://doi.org/10.1016/j.jconrel.2023.07.040 [Best Paper Award of the Year 2023 presented by Society of Toxicology (SOT) Biological Modeling Specialty Section (BMSS) in 2024]

95. Wu X, Lin Z, Toney E, Clapham MO, Wetzlich SE, Davis JL, Chen Q, Tell LA*. (2023). Pharmacokinetics, Tissue Residue Depletion, and Withdrawal Interval Estimations of Florfenicol in Goats Following Repeated Subcutaneous Administrations. Food and Chemical Toxicology, 181:114098. [PMID: 37838212] https://doi.org/10.1016/j.fct.2023.114098

94. Chou WC, Lin Z*. (2023). Machine learning and artificial intelligence in physiologically based pharmacokinetic modeling. Toxicological Sciences, 191(1):1-14. [PMID: 36156156] [PMCID: PMC9887681] https://doi.org/10.1093/toxsci/kfac101

93. Zad N, Tell LA, Ramachandran RA, Xu X, Riviere JE, Baynes R, Lin Z, Maunsell F, Davis J, Jaberi-Douraki M*. (2023). Development of Machine Learning Algorithms to Estimate Maximum Residue Limits for Veterinary Medicines. Food and Chemical Toxicology, 179:113920. [PMID: 37506867] https://doi.org/10.1016/j.fct.2023.113920

92. Schmidt S*, Vozmediano V, Cristofoletti R, Kim S, Lin Z, de Moraes N, Azeredo F, Cicali B, Leuenberger H, Brown JD, Jin JY, Musante CJ, Tannenbaum S, Wang Y. (2023). Requirements, Expectations, Challenges & Opportunities Associated with Training the Next Generation of Pharmacometricians. CPT: Pharmacometrics & Systems Pharmacology, 12(7):883-888. [PMID: 37452453] [PMCID: PMC10349183] https://doi.org/10.1002/psp4.12970

91. Fritz SA, Ensley SM, Lawrence JR, Van Engen N, Lin Z, Kleinhenz MD, Wulf LW, Rice S, Gorden PJ, Peterson J, Coetzee JF. (2023). Plasma pharmacokinetics, milk residues, and toxicological evaluation of a single high dose of meloxicam administered at 30 mg/kg per os to lactating dairy cattle. Veterinary Sciences, 10(4):301. [PMID: 37104456] https://doi.org/10.3390/vetsci10040301

90. Yuan L, Chen Q, Riviere JE, Lin Z*. (2023). Pharmacokinetics and tumor delivery of nanoparticles. Journal of Drug Delivery Science and Technology, 83, 104404. https://doi.org/10.1016/j.jddst.2023.104404

2022

89. Lin Z*, Aryal S*, Cheng YH, Gesquiere AJ*. (2022). In vitro to in vivo extrapolation of cellular and tissue dosimetry of nanomaterials via physiologically based pharmacokinetic modeling. ACS Nano, 16(12), 19722-19754. [PMID: 36520546] [PMCID: PMC9798869] https://doi.org/10.1021/acsnano.2c07312

88. Chou WC, Cheng YH, Riviere JE, Monteiro-Riviere NA, Kreyling WG, Lin Z*. (2022). Development of a multi-route physiologically based pharmacokinetic (PBPK) model for nanomaterials: a comparison between a traditional versus a new route-specific approach using gold nanoparticles in rats. Particle and Fibre Toxicology, 19(1):47. [PMID: 35804418] [PMCID: PMC9264615] https://doi.org/10.1186/s12989-022-00489-4

87. Lin Z*#, Chou WC#, Cheng YH, He C, Monteiro-Riviere NA, Riviere JE. (2022). Predicting Nanoparticle Delivery to Tumors Using Machine Learning and Artificial Intelligence Approaches. International Journal of Nanomedicine, 17:1365-1379. [PMID: 35360005] [PMCID: PMC8961007] (# equal contribution) https://doi.org/10.2147/IJN.S344208

86. Lin Z*, Chou WC. (2022). Machine learning and artificial intelligence in toxicological sciences. Toxicological Sciences,189(1):7-19. [PMID: 35861448] [PMCID: PMC9699155] https://doi.org/10.1093/toxsci/kfac075

85. Chen Q, Riviere JE, Lin Z*. (2022). Toxicokinetics, Dose-Response and Risk Assessment of Nanomaterials: Methodology, Challenges and Future Perspectives. Wiley Interdisciplinary Reviews: Nanomedicine and Nanobiotechnology, 14(6), e1808. [PMID: 36416026] [PMCID: PMC9699155] https://doi.org/10.1002/wnan.1808

84. Chou WC, Tell LA, Baynes RE, Davis JL, Maunsell FP, Riviere JE, Lin Z*. (2022). An interactive generic physiologically based pharmacokinetic (igPBPK) modelling platform to predict drug withdrawal intervals in cattle and swine. Toxicological Sciences, 188(2):180-197. [PMID: 35642931] https://doi.org/10.1093/toxsci/kfac056

83. Yuan L, Chou WC, Richards ED, Tell LA, Baynes RE, Davis JL, Riviere JE, Lin Z*. (2022). A web-based interactive physiologically based pharmacokinetic (iPBPK) model for meloxicam in broiler chickens and laying hens. Food and Chemical Toxicology, 168:113332. [PMID: 35940329] https://doi.org/10.1016/j.fct.2022.113332

82. Chen Q, Chou WC, Lin Z*. (2022). Integration of toxicogenomics and physiologically based pharmacokinetic modeling in human health risk assessment of perfluorooctane sulfonate. Environmental Science & Technology, 56(6):3623-3633. [PMID: 35194992] https://doi.org/10.1021/acs.est.1c06479

81. Yuan L, Lin Z, Dutch RS, Richards ED, Clapham MO, Burmas N, Wetzlich SE, Tell LA*. (2022). Residue depletion profiles and withdrawal interval estimations of meloxicam in eggs and ovarian follicles following intravenous (Meloxicam Solution for Injection) and oral (Meloxidyl®) administration in domestic chickens (Gallus domesticus). Regulatory Toxicology and Pharmacology, 132, 105170. [PMID: 35460801] https://doi.org/10.1016/j.yrtph.2022.105170

80. Tao G, Chityala PK, Li L, Lin Z*, Ghose R*. (2022). Development of a physiologically based pharmacokinetic model to predict irinotecan disposition in mice during inflammation. Chemico-Biological Interactions, 360, 109946. [PMID: 35430260] https://doi.org/10.1016/j.cbi.2022.109946

79. Mercer MA, Davis JL*, Riviere JE, Baynes RE, Tell LA, Jaberi-Douraki M, Maunsell FP, Lin Z. (2022). Mechanisms of Toxicity and Residue Considerations of Rodenticide Exposure in Food Animals: a FARAD Perspective. Journal of the American Veterinary Medical Association, 260(5):514-523. [PMID: 35092661] https://doi.org/10.2460/javma.21.08.0364

78. Xu N, Li M, Lin Z*, Ai X*. (2022). Comparative pharmacokinetics of sulfadiazine and its metabolite N4-acetyl sulfadiazine in grass carp (Ctenopharyngodon idella) at different temperatures after oral administration. Pharmaceutics, in press.

77. Kleinhenz MD, Weeder M, Montgomery S, Martin M, Curtis A, Magnin G, Lin Z, Griffin J, Coetzee JF. (2022). Short term feeding of industrial hemp with a high cannabidiolic acid (CBDA) content increases lying behavior and reduces biomarkers of stress and inflammation in calves. Scientific Reports, 12(1):3683. [PMID: 35256692] https://doi.org/10.1038/s41598-022-07795-z

76. Richards ED, Dutch RS, Burmas NC, Davis JL, Lin Z, Clapham MO, Wetzlich SE, Tell LA*. (2022). Estimation of tissue withdrawal interval recommendations using three approaches and various matrices following meloxicam administrated to domestic laying chickens. Frontiers in Veterinary Science, 9:826367. https://doi.org/10.3389/fvets.2022.826367

75. Halleran JL, Papich MG, Li M, Lin Z, Davis J, Maunsell P, Riviere J, Baynes R, Foster DM*. (2022). FARAD Digest: Update on Withdrawal Intervals following Extralabel Use of Procaine Penicillin G in Cattle and Swine. Journal of the American Veterinary Medical Association, 260(1):1-6. [PMID: 34793323] https://doi.org/10.2460/javma.21.05.0268

2021

74. Chou WC, Lin Z*. (2021). Evaluation of Health-Based Toxicity Values for Perfluorooctane Sulfonate (PFOS) by Considering Species-Specific Fetal and Neonatal Dosimetry Using a Gestational and Lactational Physiologically Based Pharmacokinetic (PBPK) Model in Rats and Humans. Environmental Health Perspectives, 129(3):37004. [PMID: 33730865] https://doi.org/10.1289/EHP7671 [Featured at K-State Today and CVM Lifelines] Best Paper Award of the Year 2021, Society of Toxicology Biological Modeling Specialty Section; Best Paper Demonstrating an Application of Risk Assessment, Society of Toxicology Risk Assessment Specialty Section]

73. Riad MH, Baynes RE, Tell LA, Davis JL, Maunsell FP, Riviere JE, Lin Z*. (2021). Development and application of an interactive physiologically based pharmacokinetic (iPBPK) model to predict oxytetracycline tissue distribution and withdrawal intervals in market-age sheep and goats. Toxicological Sciences, 183(2):253-268. [PMID: 34329480] https://doi.org/10.1093/toxsci/kfab095

72. Martin M, Smith S, Kleinhenz M, Magnin G, Lin Z, Kuhn D, Montgomery S, Coetzee J. Comparative pharmacokinetics and tissue concentrations of flunixin meglumine and meloxicam in tilapia (Oreochromis spp.). Fishes, 6(4), 68. https://doi.org/10.3390/fishes6040068

71. DeLong RK*, Swanson R, Niederwerder MC, Khanal P, Aryal S, Marasini R, Jaberi-Douraki M, Shakeri H, Mazloom R, Schneider S, Ensley S, Clarke LL, Woode RA, Young S, Rayamajhi S, Miesner T, Higginbotham ML, Lin Z, Shrestha T, Ghosh K, Glaspell G, Mathew EN. (2021). Zn-based physiometacomposite nanoparticles: distribution, tolerance, imaging, and antiviral and anticancer activity. Nanomedicine (Lond), 16(21):1857-1872. [PMID: 34282923] https://doi.org/10.2217/nnm-2021-0179

70. Xu N, Cheng B, Li M, Lin Z, Ai X*. (2021). Withdrawal interval estimation of doxycycline in yellow catfish (Pelteobagrus fulvidraco) using an LC-MS/MS method based upon QuEChERS sampling preparation. Foods, 10(11):2554. [PMID: 34828835]. https://doi.org/10.3390/foods10112554

69. Richards ED, Tell LA, Davis JL, Baynes RE, Lin Z, Maunsell FP, Riviere JE, Jaberi-Douraki M, Martin KL, Davidson G*. (2021). Honey bee medicine for veterinarians and guidance for avoiding violative chemical residues in honey. Journal of the American Veterinary Medical Association, 259(8):860-873. [PMID: 34609191] https://doi.org/10.2460/javma.259.8.860

68. Li M, Wang YS, Elwell-Cuddy T, Baynes RE, Tell LA, Davis JL, Maunsell FP, Riviere JE, Lin Z*. (2021). Physiological parameter values for physiologically based pharmacokinetic models in food-producing animals. Part III: Sheep and goat. Journal of Veterinary Pharmacology and Therapeutics, 44(4), 456-477. [PMID: 33350478] https://doi.org/10.1111/jvp.12938

67. Xu N, Li M, Ai X, Lin Z*. (2021). Determination of pharmacokinetic-pharmacodynamic parameters of doxycycline against Edwardsiella ictaluri in yellow catfish (Pelteobagrus fulvidraco). Antibiotics, 10(3), 329. [PMID: 33800996] https://doi.org/10.3390/antibiotics10030329

66. Wang YS, Li M, Tell LA, Baynes RE, Davis JL, Vickroy TW, Riviere JE, Lin Z*. (2021). Physiological parameter values for physiologically based pharmacokinetic models in food-producing animals. Part II: Chicken and turkey. Journal of Veterinary Pharmacology and Therapeutics, 44(4), 423-455. [PMID: 33289178] https://doi.org/10.1111/jvp.12931

65. Viscardi AV*, Reppert EJ, Kleinhenz MD, Wise P, Lin Z, Montgomery S, Daniell H, Curtis A, Martin M, Coetzee JF. (2021). Analgesic comparison of flunixin meglumine or meloxicam for soft-tissue surgery in sheep: a pilot study. Animals, 11(2), 423. [PMID: 33562143] https://doi.org/10.3390/ani11020423

2020

64. Chou WC, Lin Z*. (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, 137:105581. [PMID: 32087483] https://doi.org/10.1016/j.envint.2020.105581

63. Cheng YH, He C, Riviere JE, Monteiro-Riviere NA, Lin Z*. (2020). Meta-analysis of nanoparticle delivery to tumors using a physiologically based pharmacokinetic modeling and simulation approach. ACS Nano, 14(3): 3075-3095. [PMID: 32078303] https://doi.org/10.1021/acsnano.9b08142 [Featured at K-State Today and at KSU CVM’s Lifelines] [2020-2021 Best Paper Award (Honorable Mention), Society of Toxicology Biological Modeling Specialty Section]

62. Lin Z*, Li M, Wang YS, Tell LA, Baynes RE, Davis JL, Vickroy TW, Riviere JE. (2020). Physiological parameter values for physiologically based pharmacokinetic models in food-producing animals. Part I: Cattle and Swine. Journal of Veterinary Pharmacology and Therapeutics, 43(5):385-420. [PMID: 32270548] https://doi.org/10.1111/jvp.12861

61. Kleinhenz MD*, Magnin G, Lin Z, Griffin J, Kleinhenz KE, Montgomery S, Curtis A, Martin M, Coetzee JF*. (2020). Plasma concentrations of eleven cannabinoids in cattle following oral administration of industrial hemp (Cannabis sativa). Scientific Reports, 10(1):12753. [PMID: 32728233] https://doi.org/10.1038/s41598-020-69768-4 [Featured at K-State Today]

60. Lin YJ, Lin Z*. (2020). Probabilistic Risk Assessment of Combined Exposure to Bisphenol A and its Analogues by Integrating ToxCast High-Throughput In Vitro Assays with In Vitro to In Vivo Extrapolation (IVIVE) via Physiologically Based Pharmacokinetic (PBPK) Modeling. Journal of Hazardous Materials, 399, 122856. [PMID: 32937695] https://doi.org/10.1016/j.jhazmat.2020.122856

59. Bates JL, Karriker LA, Rajewski SM, Lin Z*, Ronette G, Li M, Riviere JE, Coetzee JF*. (2020). A study to assess the correlation between plasma, oral fluid and urine concentrations of flunixin meglumine with the tissue residue depletion profile in finishing age swine. BMC Veterinary Research, 16, 211. [PMID: 32571315] https://doi.org/10.1186/s12917-020-02429-w

58. KuKanich K, KuKanich B, Lin Z, Rankin AJ, Hanzlicek AS, Palerme JS, Bach J, Cook AK, Juracek A, Joo H. (2020). Clinical pharmacokinetics and outcomes of oral fluconazole therapy in dogs and cats with naturally occurring fungal disease. Journal of Veterinary Pharmacology and Therapeutics, 43(6), 547-556. [PMID: 32656792] https://doi.org/10.1111/jvp.12888

57. Smith JS, Marmulak TL, Angelos JA, Lin Z, Rowe JD, Carlson JL, Shelver WL, Lee EA, Tell LA*. (2020). Pharmacokinetic parameters and estimated milk withdrawal intervals for domestic goats (Capra aegagrus hircus) after administration of single and multiple intravenous and subcutaneous doses of flunixin meglumine. Frontiers in Veterinary Science, 7:213. [PMID: 32509803] https://doi.org/10.3389/fvets.2020.00213

56. Xu N, Li M, Chou WC, Lin Z*. (2020). A physiologically based pharmacokinetic model of doxycycline for predicting tissue residues and withdrawal intervals in grass carp (Ctenopharyngodon idella). Food and Chemical Toxicology, 137, 111127. [PMID: 31945393] https://doi.org/10.1016/j.fct.2020.111127

55. Lin YJ*, Cheng CJ, Chen JW, Lin Z*. (2020). Incorporating exogenous and endogenous exposures into dietary risk assessment of nitrate and nitrite in vegetables: a probabilistic integrated toxicokinetic modeling approach. Journal of Agricultural and Food Chemistry, 68(4):1079-1090. [PMID: 31885263] https://pubs.acs.org/doi/10.1021/acs.jafc.9b06720

2019

54. Chou WC, Lin Z*. (2019). Bayesian Evaluation of a Physiologically Based Pharmacokinetic (PBPK) Model for Perfluorooctane Sulfonate (PFOS) to Characterize the Interspecies Uncertainty between Mice, Rats, Monkeys, and Humans: Development and Performance Verification. Environment International, 129:408-422. [PMID: 31152982] https://doi.org/10.1016/j.envint.2019.03.058 [2019-2020 Best Paper Award, Society of Toxicology Biological Modeling Specialty Section]

53. Li M, Cheng YH, Chittenden JT, Baynes RE, Tell LA, Davis JL, Vickroy TW, Riviere JE, Lin Z*. (2019). Integration of Food Animal Residue Avoidance Databank (FARAD) empirical methods for drug withdrawal interval determination with a mechanistic population-based interactive physiologically-based pharmacokinetic (iPBPK) modeling platform: example for flunixin meglumine administration. Archives of Toxicology, 93(7):1865-1880. [PMID: 31025081] https://doi.org/10.1007/s00204-019-02464-z [2020 Society of Toxicology Best Postdoctoral Publication Award]

52. Lin Z, He C, Magstadt DR, Cooper VL, Kleinhenz MD, Smith JS, Gorden PJ, Wulf LW, Coetzee JF*. (2019). Tissue residue depletion and estimation of extralabel meat withdrawal intervals for tulathromycin in calves after pneumatic dart administration. Journal of Animal Science, 97(9):3714-3726. [PMID: 31342061] https://doi.org/10.1093/jas/skz231 [Featured in the American Association of Bovine Practitioners (AABP) September 2019 Newsletter]

51. Li M, Mainquist-Whigham C, Karriker LA, Wulf LW, Zeng D, Gehring R, Riviere JE, Coetzee JF, Lin Z*. (2019). An integrated experimental and physiologically based pharmacokinetic modeling study of penicillin G in heavy sows. Journal of Veterinary Pharmacology and Therapeutics, 42(4):461-475. [PMID: 31012501] https://doi.org/10.1111/jvp.12766 [One of the Top 10% Most Downloaded Papers among work published between January 2018 and December 2019 in the first 12 months following online publication]

50. Xu N, Li M, Fu Y, Zhang X, Dong J, Zhou S, Ai X*, Lin Z*. (2019). Effect of temperature on plasma and tissue kinetics of doxycycline in grass carp (Ctenopharyngodon idellus) after oral administration, Aquaculture, 511, 734204. https://doi.org/10.1016/j.aquaculture.2019.734204

49. Xu N, Li M, Fu Y, Zhang X, Ai X*, Lin Z*. (2019) Tissue residue depletion kinetics and withdrawal time estimation of doxycycline in grass carp, Ctenopharyngodon Idella, following multiple oral administrations. Food and Chemical Toxicology, 131, 110592. [PMID: 31220539] https://doi.org/10.1016/j.fct.2019.110592

48. DeLong R*, Cheng YH, Pearson P, Lin Z, Wouda R, Mathew EN, Hoffman A, Coffee C, Higginbotham ML*. (2019). Translating nanomedicine to comparative oncology: the case for combining zinc oxide nanomaterials with nucleic acid therapeutic and protein delivery for treating metastatic cancer. Journal of Pharmacology and Experimental Therapeutics, 370(3):671-681. [PMID: 31040175] https://doi.org/10.1124/jpet.118.256230

47. Clapham MO, Martin KL, Davis JL, Baynes RE, Lin Z, Vickroy TW, Riviere JE, Tell LA*. (2019). FARAD Digest: Extra-label Drug Use in Wildlife and Game Animals. Journal of the American Veterinary Medical Association, 255(5): 555-568. [PMID: 31429657] https://doi.org/10.2460/javma.255.5.555

46. Sun X, Wang Y, Xia B, Li Z, Dai J, Qiu P, Ma A, Lin Z, Huang J, Wang J, Xie WB*, Wang J*. (2019). Methamphetamine produces cardiac damage and apoptosis by decreasing melusin. Toxicology and Applied Pharmacology, 378, 114543. [PMID: 30904475] https://doi.org/10.1016/j.taap.2019.03.015

45. Yang F, Lin Z, Riviere JE, Baynes RE*. (2019). Development and application of a population physiologically based pharmacokinetic model for florfenicol and its metabolite florfenicol amine in cattle. Food and Chemical Toxicology, 126: 285-294. [PMID: 30825586] https://doi.org/10.1016/j.fct.2019.02.029

44. Zeng D, Lin Z*, Zeng Z, Fang B, Li M, Cheng YH, Sun Y*. (2019). Assessing Global Human Exposure to T-2 Toxin via Poultry Meat Consumption Using a Lifetime Physiologically Based Pharmacokinetic Model. Journal of Agricultural and Food Chemistry, 67(5):1563-1571. [PMID: 30633497] https://doi.org/10.1021/acs.jafc.8b07133

43. Moczarnik JR, Berger DJ*, Noxon JO, LeVine DN, Lin Z, Coetzee JF, Mochel JP. (2019). Relative oral bioavailability of two amoxicillin-clavulanic acid formulations in healthy dogs: a pilot study. Journal of the American Animal Hospital Association, 55(1):14-22. [PMID: 30427713] https://doi.org/10.5326/JAAHA-MS-6872

2018

42. Cheng YH, Riviere JE, Monteiro-Riviere NA, Lin Z*. (2018). Probabilistic risk assessment of gold nanoparticles after intravenous administration by integrating in vitro and in vivo toxicity with physiologically based pharmacokinetic modeling. Nanotoxicology, 12(5):453-469. [PMID: 29658401] https://doi.org/10.1080/17435390.2018.1459922

41. Li M, Gehring R, Riviere JE, Lin Z*. (2018). Probabilistic physiologically based pharmacokinetic model for penicillin G in milk from dairy cows following intramammary or intramuscular administrations. Toxicological Sciences, 164(1):85-100. [PMID: 29945226] [Editor’s Highlights] https://doi.org/10.1093/toxsci/kfy067

40. Zeng D, Sun M, Lin Z*, Li M, Gehring R, Zeng Z*. (2018). Pharmacokinetics and pharmacodynamics of tildipirosin against Pasteurella multocida in a murine lung infection model. Frontiers in Microbiology, 9:1038. [PMID: 29867911] https://doi.org/10.3389/fmicb.2018.01038

39. Elwell-Cuddy T, Li M, KuKanich B, Lin Z*. (2018). The construction and application of a population physiologically based pharmacokinetic model for methadone in Beagles and Greyhounds. Journal of Veterinary Pharmacology and Therapeutics, 41(5):670-683. [PMID: 29923612] https://doi.org/10.1111/jvp.12676

38. Martin KL, Clapham MO, Davis JL, Baynes RE, Lin Z, Vickroy TW, Riviere JE, Tell LA*. (2018). Extra-label drug use in small ruminants. Journal of the American Veterinary Medical Association, 253(8):1001-1009. [PMID: 30272520] https://doi.org/10.2460/javma.253.8.1001

37. Xu X, Huang E, Luo B, Cai D, Zhao X, Luo Q, Jin Y, Chen L, Wang Q, Liu C, Lin Z, Wang H*, Xie WB*. (2018). Methamphetamine exposure triggers apoptosis and autophagy in neuronal cells through activating C/EBPβ related signaling pathway. The FASEB Journal, 32(12):6737-6759. [PMID: 29939784] https://doi.org/10.1096/fj.201701460RRR

36. Stafford EG*, Tell LA, Lin Z, Davis J, Vickroy TW, Riviere JE, Baynes RE. (2018). Consequences of fipronil exposure in egg-laying hens. Journal of the American Veterinary Medical Association, 253(1):57-60. [PMID: 29911954] https://doi.org/10.2460/javma.253.1.57

35. Adamson SX, Lin Z, Chen R, Kobos LM, Shannahan J*. (2018). Experimental challenges regarding the in vitro investigation of the nanoparticle-biocorona in disease states. Toxicology in Vitro, 51:40-49. [PMID: 29738787] https://doi.org/10.1016/j.tiv.2018.05.003

34. Sikina ER, Bach JF*, Lin Z, Gehring R, KuKanich B. (2018). Bioavailability of suppository acetaminophen in healthy and hospitalized ill dogs. Journal of Veterinary Pharmacology and Therapeutics, 41(5):652-658. [PMID: 29756216] https://doi.org/10.1111/jvp.12664

33. Xiao N, Zhang F, Zhu B, Liu C, Lin Z, Wang H*, Xie WB*. (2018). CDK5-mediated Tau accumulation triggers methamphetamine-induced neuronal apoptosis via endoplasmic reticulum-associated degradation pathway. Toxicology Letters, 292:97-107. [PMID: 29705343] https://doi.org/10.1016/j.toxlet.2018.04.027

2017

32. Lin Z*. (2017). Advance in physiologically based pharmacokinetic modelling: from the organ level to sub-organ level based on experimental data. The Journal of Physiology, 595:7265-7266. [PMID: 29052221] https://doi.org/10.1113/JP275311

31. Zeng D, Lin Z*, Fang B, Li M, Gehring R, Riviere JE, Zeng Z*. (2017). Pharmacokinetics of mequindox and its marker residue 1,4-bisdesoxymequindox in swine following multiple oral gavage and intramuscular administration: an experimental study coupled with population physiologically based pharmacokinetic modeling. Journal of Agricultural and Food Chemistry, 65:5768-5777. [PMID: 28640606] https://doi.org/10.1021/acs.jafc.7b01740

30. Li M, Gehring R, Riviere JE, Lin Z*. (2017). Development and application of a population physiologically based pharmacokinetic model for penicillin G in swine and cattle for food safety assessment. Food and Chemical Toxicology, 107:74-87. [PMID: 28627373] https://doi.org/10.1016/j.fct.2017.06.023

29. Lin Z*, Jaberi-Douraki M, He C, Jin S, Yang RSH, Fisher JW, Riviere JE. (2017). Performance assessment and translation of physiologically based pharmacokinetic models from acslX to Berkeley Madonna, MATLAB, and R language: oxytetracycline and gold nanoparticles as case examples. Toxicological Sciences, 158:23-35. [PMID: 28402537] https://doi.org/10.1093/toxsci/kfx070

28. Du SH, Qiao DF, Chen CX, Chen S, Liu C, Lin Z, Wang H*, Xie WB*. (2017). Toll-like receptor 4 mediates methamphetamine-induced neuroinflammation through Caspase-11 signaling pathway in astrocytes. Frontiers in Molecular Neuroscience, 10:409. [PMID: 29311802] https://doi.org/10.3389/fnmol.2017.00409

27. Li Y*, Shi Z, Radauer-Preiml I, Andosch A, Casals E, Luetz-Meindl U, Cobaleda M, Lin Z, Jaberi-Douraki M, Italiani P, Horejs-Hoeck J, Himly M, Monteiro-Riviere NA, Duschl A, Puntes V, Boraschi D. (2017). Bacterial endotoxin (LPS) binds to the surface of gold nanoparticles, interferes with biocorona formation and induces human monocyte inflammatory activation. Nanotoxicology, 11:1157-1175. [PMID: 29192556] KSU news. https://doi.org/10.1080/17435390.2017.1401142

26. Xu X, Huang E, Tai Y, Zhao X, Chen X, Chen C, Chen R, Liu C, Lin Z, Wang H*, Xie WB*. (2017). Nupr1 modulates methamphetamine-induced dopaminergic neuronal apoptosis and autophagy through CHOP-Trib3-mediated endoplasmic reticulum stress signaling pathway. Frontiers in Molecular Neuroscience, 10:203. [PMID: 28694771] https://doi.org/10.3389/fnmol.2017.00203

25. Li B, Chen R, Chen L, Qiu P, Ai X, Huang E, Huang W, Chen C, Liu C, Lin Z, Xie WB*, Wang H*. (2017). Effects of DDIT4 in methamphetamine-induced autophagy and apoptosis in dopaminergic neurons. Molecular Neurobiology, 54:1642-1660. [PMID: 26873849] https://doi.org/10.1007/s12035-015-9637-9

2016

24. Lin Z*, Gehring R, Mochel JP, Lavé T, Riviere JE. (2016). Mathematical modeling and simulation in animal health – Part II: principles, methods, applications, and value of physiologically based pharmacokinetic modeling in veterinary medicine and food safety assessment. Journal of Veterinary Pharmacology and Therapeutics, 39:421-438. [PMID: 27086878] https://doi.org/10.1111/jvp.12311 [One of the Top Ten Cited Papers in this journal in the 2018 Impact Factor period according to the Journal Citation Reports released in 2019]

23. Lin Z, Vahl CI, Riviere JE*. (2016). Human food safety implications of variation in food animal drug metabolism. Scientific Reports, 6:27907. [PMID: 27302389] KSU news; AVMA news; AASV news; Farms.com news. https://doi.org/10.1038/srep27907

22. Lin Z, Monteiro-Riviere NA, Kannan R, Riviere JE*. (2016). A computational framework for interspecies pharmacokinetics, exposure and toxicity assessment of gold nanoparticles. Nanomedicine (Lond), 11:107-119. [PMID: 26653715] https://doi.org/10.2217/nnm.15.177

21. Lin Z, Monteiro-Riviere NA, Riviere JE*. (2016). A physiologically based pharmacokinetic model for polyethylene glycol-coated gold nanoparticles of different sizes in adult mice. Nanotoxicology, 10:162-172. [PMID: 25961857] https://doi.org/10.3109/17435390.2015.1027314 [2016 Best Paper Award (Honorable Mention), Society of Toxicology Biological Modeling Specialty Section]

20. Lin Z, Cuneo M, Rowe JD, Li M, Tell LA, Allison S, Carlson J, Riviere JE, Gehring R*. (2016). Estimation of tulathromycin depletion in plasma and milk after subcutaneous injection in lactating goats using a nonlinear mixed-effects pharmacokinetic modeling approach. BMC Veterinary Research, 12:258. [PMID: 27863483] https://doi.org/10.1186/s12917-016-0884-4

19. Cai D, Huang E, Luo B, Yang Y, Zhang F, Liu C, Lin Z, Xie WB*, Wang H*. (2016). Nupr1/Chop signal axis is involved in mitochondrion-related endothelial cell apoptosis induced by methamphetamine. Cell Death and Disease, 7:e2161. [PMID: 27031958] https://doi.org/10.1038/cddis.2016.67

18. Chen R, Wang B, Chen L, Chen C, Huang E, Liu C, Lin Z, Xie WB*, Wang H*. (2016). DNA damage-inducible transcript 4 (DDIT4) mediates methamphetamine-induced autophagy and apoptosis through mTOR signaling pathway in cardiomyocytes. Toxicology and Applied Pharmacology, 295:1-11. [PMID: 26825372] https://doi.org/10.1016/j.taap.2016.01.017

17. Chen C, Qincao L, Xu J, Du S, Huang E, Liu C, Lin Z, Xie WB*, Wang H*. (2016). Role of PUMA in methamphetamine-induced neuronal apoptosis. Toxicology Letters, 240:149-160. [PMID: 26524635] https://doi.org/10.1016/j.toxlet.2015.10.020

2015

16. Lin Z, Monteiro-Riviere NA, Riviere JE*. (2015). Pharmacokinetics of metallic nanoparticles. Wiley Interdisciplinary Reviews: Nanomedicine and Nanobiotechnology, 7:189-217. [PMID: 25316649] (Top Ten Accessed Publications in this journal in 2015) https://doi.org/10.1002/wnan.1304

15. Li M, Gehring R, Lin Z, Riviere JE*. (2015). A framework for meta-analysis of veterinary drug pharmacokinetic data using mixed effect modeling. Journal of Pharmaceutical Sciences, 104:1230-1239. [PMID: 25641543] https://doi.org/10.1002/jps.24341

14. Lin Z, Li M, Gehring R, Riviere JE*. (2015). Development and application of a multi-route physiologically based pharmacokinetic model for oxytetracycline in dogs and humans. Journal of Pharmaceutical Sciences, 104(1):233-243. [PMID: 25407474] https://doi.org/10.1002/jps.24244

13. Huang L, Lin Z, Zhou X, Zhu M, Gehring R, Riviere JE*, Yuan Z*. (2015). Estimation of residue depletion of cyadox and its marker residue in edible tissues of pigs using physiologically based pharmacokinetic modelling. Food Additives & Contaminants. Part A, Chemistry, Analysis, Control, Exposure & Risk Assessment, 32:2002-2017. [PMID: 26414219] https://doi.org/10.1080/19440049.2015.1100330

12. Monteiro-Riviere NA*, Ortega MT, Choi K, Koci J, Lin Z, Jeffrey B, Riviere JE. (2015). Comparative in vitro cytotoxicity of 20 potential food ingredients in canine liver, kidney, bone marrow-derived mesenchymal stem cells and enterocyte-like cells. Applied in Vitro Toxicology, 1:276-288. https://doi.org/10.1089/aivt.2015.0020

11. He C, Lin Z, Robb SW, Ezeamama AE*. (2015). Serum vitamin D levels and polycystic ovary syndrome: a systematic review and meta-analysis. Nutrients, 7:4555-4577. [PMID: 26061015] https://doi.org/10.3390/nu7064555

10. Huang W, Xie WB, Qiao D, Qiu P, Huang E, Li B, Liu C, Wang Q, Lin Z, Wang H*. (2015). Caspase-11 plays an essential role in methamphetamine-induced dopaminergic neuron apoptosis. Toxicological Sciences, 145:68-79. [PMID: 25631491] https://doi.org/10.1093/toxsci/kfv014

 At the University of Georgia (2009-2013)

9. Krishna S, Lin Z, de La Serre CB, Wagner JJ, Harn DH, Pepples LM, Djani DM, Weber MT, Srivastava L, Filipov NM*. (2016). Time-dependent behavioral, neurochemical, and metabolic dysregulation in female C57BL/6 mice caused by chronic high-fat diet intake. Physiology & Behavior, 157:196-208. [PMID: 26852949] https://doi.org/10.1016/j.physbeh.2016.02.007

8. Krishna S, Keralapurath MM, Lin Z, Wagner JJ, de La Serre CB, Harn DA, Filipov NM*. (2015). Neurochemical and electrophysiological deficits in the ventral hippocampus and selective behavioral alterations caused by high-fat diet in female C57BL/6 mice. Neuroscience, 297:170-81. [PMID: 25849614] https://doi.org/10.1016/j.neuroscience.2015.03.068

7. Qiao D, Xu J, Le C, Huang E, Liu C, Qiu P, Lin Z, Xie WB*, Wang H*. (2014). Insulin-like growth factor binding protein 5 (IGFBP5) mediates methamphetamine-induced dopaminergic neuron apoptosis. Toxicology Letters, 230:444-453. [PMID: 25127757] https://doi.org/10.1016/j.toxlet.2014.08.010

6. Lin Z, Roede JR, He C, Jones DP, Filipov NM*. (2014). Short-term oral atrazine exposure alters the plasma metabolome of male C57BL/6 mice and disrupts α-linolenate, tryptophan, tyrosine and other major metabolic pathways. Toxicology, 326:130-141. [PMID: 25445803] https://doi.org/10.1016/j.tox.2014.11.001

5. Lin Z, Dodd CA, Xiao S, Krishna S, Ye X, Filipov NM*. (2014). Gestational and lactational exposure to atrazine via the drinking water causes specific behavioral deficits and selectively alters monoaminergic systems in C57BL/6 mouse dams, juvenile and adult offspring. Toxicological Sciences, 141:90-102. [PMID: 24913803] https://doi.org/10.1093/toxsci/kfu107

4. Lin Z, Fisher JW, Wang R, Ross MK, Filipov NM*. (2013). Estimation of placental and lactational transfer and tissue distribution of atrazine and its main metabolites in rodent dams, fetuses, and neonates with physiologically based pharmacokinetic modeling. Toxicology and Applied Pharmacology, 273:140-158. [PMID: 23958493] https://doi.org/10.1016/j.taap.2013.08.010

3. Lin Z, Dodd CA, Filipov NM*. (2013). Short-term atrazine exposure causes behavioral deficits and disrupts monoaminergic systems in male C57BL/6 mice. Neurotoxicology and Teratology, 39:26-35. [PMID: 23770127] https://doi.org/10.1016/j.ntt.2013.06.002

2. Lin Z, Dodd CA, Filipov NM*. (2013). Differentiation state-dependent effects of in vitro exposure to atrazine or its metabolite diaminochlorotriazine in a dopaminergic cell line. Life Sciences, 92:81-90. [PMID: 23142650] https://doi.org/10.1016/j.lfs.2012.10.027

1. Lin Z, Fisher JW, Ross MK, Filipov NM*. (2011). A physiologically based pharmacokinetic model for atrazine and its main metabolites in the adult male C57BL/6 mouse. Toxicology and Applied Pharmacology, 251:16-31. [PMID: 21094656] https://doi.org/10.1016/j.taap.2010.11.009