AIM: Dexibuprofen, the S(+)-isomer of ibuprofen, is an effective therapeutic agent for the treatment of neurodegenerative disorders. However, its clinical use is hampered by a limited brain distribution. The aim of this study was to design and synthesize brain-targeting dexibuprofen prodrugs and to evaluate their brain-targeting efficiency using biodistribution and pharmacokinetic analysis. METHODS: In vitro stability, biodistribution and pharmacokinetic studies were performed on male Sprague-Dawley rats. The concentrations of dexibuprofen in biosamples, including the plasma, brain, heart, liver, spleen, lung, and kidney, were measured using high pressure lipid chromatography (HPLC). The pharmacokinetic parameters of the drug in the plasma and tissues were calculated using obtained data and statistics. RESULTS: Five dexibuprofen prodrugs that were modified to contain ethanolamine-related structures were designed and synthesized. Their chemical structures were confirmed using (1)H NMR, (13)C NMR, IR, and HRMS. In the biodistribution study, 10 min after intravenous administration of dexibuprofen (11.70 mg/kg) and its prodrugs (the dose of each compound was equivalent to 11.70 mg/kg of dexibuprofen) in male Sprague-Dawley rats, the dexibuprofen concentrations in the brain and plasma were measured. The C(brain)/C(plasma) ratios of prodrugs 1, 2, 3, 4, and 5 were 17.0-, 15.7-, 7.88-, 9.31-, and 3.42-fold higher than that of dexibuprofen, respectively (P<0.01). Thus, each of the prodrugs exhibited a significantly enhanced brain distribution when compared with dexibuprofen. In the pharmacokinetic study, prodrug 1 exhibited a brain-targeting index of 11.19 {DTI=(AUC(brain)/AUC(plasma))(1)/(AUC(brain)/AUC(plasma))(dexibuprofen)}. CONCLUSION: The ethanolamine-related structures may play an important role in transport across the brain blood barrier.
AIM: Dexibuprofen, the S(+)-isomer of ibuprofen, is an effective therapeutic agent for the treatment of neurodegenerative disorders. However, its clinical use is hampered by a limited brain distribution. The aim of this study was to design and synthesize brain-targeting dexibuprofen prodrugs and to evaluate their brain-targeting efficiency using biodistribution and pharmacokinetic analysis. METHODS: In vitro stability, biodistribution and pharmacokinetic studies were performed on male Sprague-Dawley rats. The concentrations of dexibuprofen in biosamples, including the plasma, brain, heart, liver, spleen, lung, and kidney, were measured using high pressure lipid chromatography (HPLC). The pharmacokinetic parameters of the drug in the plasma and tissues were calculated using obtained data and statistics. RESULTS: Five dexibuprofen prodrugs that were modified to contain ethanolamine-related structures were designed and synthesized. Their chemical structures were confirmed using (1)H NMR, (13)C NMR, IR, and HRMS. In the biodistribution study, 10 min after intravenous administration of dexibuprofen (11.70 mg/kg) and its prodrugs (the dose of each compound was equivalent to 11.70 mg/kg of dexibuprofen) in male Sprague-Dawley rats, the dexibuprofen concentrations in the brain and plasma were measured. The C(brain)/C(plasma) ratios of prodrugs 1, 2, 3, 4, and 5 were 17.0-, 15.7-, 7.88-, 9.31-, and 3.42-fold higher than that of dexibuprofen, respectively (P<0.01). Thus, each of the prodrugs exhibited a significantly enhanced brain distribution when compared with dexibuprofen. In the pharmacokinetic study, prodrug 1 exhibited a brain-targeting index of 11.19 {DTI=(AUC(brain)/AUC(plasma))(1)/(AUC(brain)/AUC(plasma))(dexibuprofen)}. CONCLUSION: The ethanolamine-related structures may play an important role in transport across the brain blood barrier.
Authors: Jason L Eriksen; Sarah A Sagi; Tawnya E Smith; Sascha Weggen; Pritam Das; D C McLendon; Victor V Ozols; Kevin W Jessing; Kenton H Zavitz; Edward H Koo; Todd E Golde Journal: J Clin Invest Date: 2003-08 Impact factor: 14.808
Authors: Andrew T Placzek; Skylar J Ferrara; Meredith D Hartley; Hannah S Sanford-Crane; J Matthew Meinig; Thomas S Scanlan Journal: Bioorg Med Chem Date: 2016-09-16 Impact factor: 3.641
Authors: Skylar J Ferrara; J Matthew Meinig; Andrew T Placzek; Tapasree Banerji; Peter McTigue; Meredith D Hartley; Hannah S Sanford-Crane; Tania Banerji; Dennis Bourdette; Thomas S Scanlan Journal: Bioorg Med Chem Date: 2017-03-23 Impact factor: 3.641
Authors: Naseem Ullah; Shahzeb Khan; Shaimaa Ahmed; Thirumala Govender; Hani S Faidah; Marcel de Matas; Muhammad Shahid; Muhammad Usman Minhas; Muhammad Sohail; Muhammad Khurram Journal: Int J Nanomedicine Date: 2018-03-20