• Title/Summary/Keyword: Ketoprofen toxicity

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Metabolic profiling study of ketoprofen-induced toxicity using 1H NMR spectroscopy coupled with multivariate analysis

  • Jung, Jee-Youn;Hwang, Geum-Sook
    • Journal of the Korean Magnetic Resonance Society
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    • v.15 no.1
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    • pp.54-68
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    • 2011
  • $^1H$ nuclear magnetic resonance (NMR) spectroscopy of biological samples has been proven to be an effective and nondestructive approach to probe drug toxicity within an organism. In this study, ketoprofen toxicity was investigated using $^1H$-NMR spectroscopy coupled with multivariate statistical analysis. Histopathologic test of ketoprofen-induced acute gastrointestinal damage in rats demonstrated a significant dose-dependent effect. Furthermore, principal component analysis (PCA) derived from $^1H$-NMR spectra of urinary samples showed clear separation between the vehicle-treated control and ketoprofen-treated groups. Moreover, PCA derived from endogenous metabolite concentrations through targeted profiling revealed a dose-dependent metabolic shift between the vehicle-treated control, low-dose ketoprofen-treated (10 mg/kg body weight), and high-dose ketoprofen-treated (50 mg/kg) groups coinciding with their gastric damage scores after ketoprofen administration. The resultant metabolic profiles demonstrated that the ketoprofen-induced gastric damage exhibited energy metabolism perturbations that increased urinary levels of citrate, cis-aconitate, succinate, and phosphocreatine. In addition, ketoprofen administration induced an enhancement of xenobiotic activity in fatty oxidation, which caused increase levels of N-isovalerylglycine, adipate, phenylacetylglycine, dimethylamine, betaine, hippurate, 3-indoxylsulfate, N,N-dimethylglycine, trimethyl-N-oxide, and glycine. These findings demonstrate that $^1H$-NMR-based urinary metabolic profiling can be used for noninvasive and rapid way to diagnose adverse drug effects and is suitable for explaining the possible biological pathways perturbed by nonsteroidal anti-inflammatory drug toxicity.

Ketoprofen Plaster Toxicity Induced Gastrointestinal Hemorrhage in a Dog (케토프로펜 플라스터 독성에 의한 개에서의 위장관 출혈)

  • Park, Hyung-Jin;Choi, Joon-Hyuk;Lee, Woo-Nam;Song, Kun-Ho;Seo, Kyoung-Won
    • Journal of Veterinary Clinics
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    • v.31 no.3
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    • pp.220-222
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    • 2014
  • A 14 year-old Shih-tzu was referred to the Veterinary Medical Teaching Hospital of Chungnam National University with a history of foreign body ingestion and vomiting. The vomitus contained ketoprofen plaster, which is used for orthopedic analgesia in humans. Supportive care and gastrointestinal (GI) protective agents were administered, including famotidine, misoprostol, sucralfate, omeprazole, and fluid therapy. However, the clinical signs worsened, and anemia, melena, leukocytosis, and azotemia developed. The patient was diagnosed with GI hemorrhage and underwent a whole blood transfusion followed by barium sulfate administration. After administering barium sulfate as a GI protectant, the clinical signs improved, and the patient was discharged.

Qualitative Analysis for Metabolites of Pharmaceuticals Formed in Daphnia magna and Gammarus pulex Using Liquid Chromatogram-High Resolution Mass Spectrometry (LC-HRMS) (LC-HRMS를 이용한 Daphnia magna 및 Gammarus pulex 생체내 의약품 대사체 정성분석)

  • Jeon, Junho
    • Journal of Environmental Analysis, Health and Toxicology
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    • v.21 no.4
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    • pp.243-251
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    • 2018
  • Pharmaceuticals in wastewater effluents have been recognized as emerging pollutants threatening freshwater organisms. To extend understanding for bioaccumulation and toxicity in those organisms, information on biotransformation products (or metabolites) and their metabolic pathway are crucial. The aim of the present study is to identify and elucidate metabolites of pharmaceuticals formed in exposed organisms using suspect and nontarget screening approach using LC-HRMS. As the target pharmaceuticals, carbamazepine, ketoprofen, metoprolol, propranolol, and verapamil were selected whereas Daphnia magna and Gammarus pulex were used as test organisms. After 24h exposure, metabolites formed in the organisms were identified using LC-HRMS. The structures of metabolites were elucidated via analysis of MS/MS fragment pattern and the comparison with fragment database. As the results, a total of 10 metabolites were identified for 5 parent compounds (C253/C356 for carbamazepine, K211 for ketoprofen, M256 for metoprolol, P218/P276/P306 for propranolol, V196/V291/V441 for verapamil). Among them, the presence of C253 and V291 was confirmed using standard materials. Most of the identified metabolites were formed through oxidative reactions such as hydroxylation, N-demethylation, and dealkylation. Cysteine conjugation (phase II reaction) metabolite (C356) for carbamazepine was found in daphnia. The metabolic pathway of verapamil showed similar metabolic pathways and metabolic pathways for both species. Although the toxicological information on the identified metabolites could not be confirmed, the molecular structure information of the proposed metabolites can be used for future evaluation and prediction of toxicity.

Particle Size Distribution, Drug Loading Capacity and Release Profiles of Solid Lipid Nanoparticles of Phenylpropionic Acids (페닐프로피온산계 해열진통제 고형지질나노입자의 입도분포와 약물봉입 및 용출특성)

  • Kim, Yoon-Sun;Kim, Kil-Soo
    • Journal of Pharmaceutical Investigation
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    • v.28 no.4
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    • pp.249-255
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    • 1998
  • Solid Lipid Nanoparticle(SLN), one of the colloidal carrier systems, has many advantages such as good biocompatibility, low toxicity and stability. In this paper, the effects of drug lipophilicity and surfactant on the drug loading capacity, particle size and drug release profile were examined. SLNs were prepared by homogenization of melted lipid dispersed in an aqueous surfactant solution. Ketoprofen, ibuprofen and pranoprofen were used as model drugs and tweens and poloxamers were tested for the effect of surfactant. Mean particle size of prepared SLNs was ranged from 100 to 150nm. The drug loading capacity was improved with the most lipophilic drug and low concentration of surfactant. Particle size and polydispersity of SLNs were changed according to the used lipid and surfactant. The rates of drug release were controlled by the loading drug and surfactant concentration. SLN system with effective drug loading efficiency and proper particle size for the intravenous or oral formulation can be prepared by selecting optimum drug and surfactant.

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