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Wu SL, Gan J, Rao J, He SJ, Zhu WW, Zhao Y, Lv YN, Huang JG, Liu YN. Pharmacokinetics and tolerability of oral dosage forms of huperzine a in healthy Chinese male volunteers: a randomized, single dose, three-period, six-sequence crossover study. Curr Med Sci 2017; 37:795-802. [PMID: 29058298 DOI: 10.1007/s11596-017-1807-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2017] [Revised: 09/06/2017] [Indexed: 11/25/2022]
Abstract
Huperzine A is a potent, reversible, and blood-brain barrier permeable acetylcholinesterase inhibitor. The aim of this study was to compare the pharmacokinetics, tolerability, and bioavailability of two formulations with the established reference formulation of huperzine A in a fasting, healthy Chinese male population. This was a randomized, single-dose, 3-period, 6-sequence crossover study. The plasma concentrations of huperzine A were determined by liquid chromatography tandem mass spectrometry. Tolerability was assessed based on subject interview, vital sign monitoring, physical examination, and routine blood and urine tests. The mean (SD) pharmacokinetic parameters of the reference drug were Cmax, 1.550 (0.528) ng/mL; t1/2, 12.092 (1.898) h; AUC0-72h, 17.550 (3.794) ng·h/mL. Those of the test formulation A and test formulation B were Cmax, 1.412 (0.467), 1.521 (0.608) ng/mL; t1/2, 12.073 (2.068), 12.271 (1.678) h; AUC0-72h, 15.286 (3.434) ng·h/mL, 15.673 (3.586) ng·h/mL. The 90% confidence intervals for the AUC0-72h and Cmax were between 0.80 and 1.25. No adverse events were reported by the subjects or found with results of clinical laboratory test. The test and reference products met the regulatory criteria for bioequivalence in these fasting, healthy Chinese male volunteers. All three formulations appeared to be well tolerated.
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Affiliation(s)
- San-Lan Wu
- Department of Pharmacy, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
- Clinical Research Organization for Pharmaceutical Products, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Jun Gan
- Department of Pharmaceutics, School of Pharmacy, Tongji Medical College, Huangzhong University of Science and Technology, Wuhan, 430030, China
| | - Jing Rao
- Department of Pharmaceutics, School of Pharmacy, Tongji Medical College, Huangzhong University of Science and Technology, Wuhan, 430030, China
| | - Si-Jie He
- Department of Pharmaceutics, School of Pharmacy, Tongji Medical College, Huangzhong University of Science and Technology, Wuhan, 430030, China
| | - Wen-Wen Zhu
- Department of Pharmaceutics, School of Pharmacy, Tongji Medical College, Huangzhong University of Science and Technology, Wuhan, 430030, China
| | - Ying Zhao
- Department of Pharmacy, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
- Clinical Research Organization for Pharmaceutical Products, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Yong-Ning Lv
- Department of Pharmacy, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
- Clinical Research Organization for Pharmaceutical Products, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Jian-Geng Huang
- Department of Pharmaceutics, School of Pharmacy, Tongji Medical College, Huangzhong University of Science and Technology, Wuhan, 430030, China.
| | - Ya-Ni Liu
- Department of Pharmacy, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
- Clinical Research Organization for Pharmaceutical Products, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
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Population pharmacokinetic modeling and simulation of huperzine A in elderly Chinese subjects. Acta Pharmacol Sin 2016; 37:994-1001. [PMID: 27180987 DOI: 10.1038/aps.2016.24] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/27/2015] [Accepted: 01/19/2016] [Indexed: 11/08/2022]
Abstract
AIM Our preliminary results show that huperzine A, an acetylcholinesterase inhibitor used to treat Alzheimer's disease (AD) patients in China, exhibits different pharmacokinetic features in elderly and young healthy subjects. However, its pharmacokinetic data in elderly subjects remains unavailable to date. Thus, we developed a population pharmacokinetic (PPK) model of huperzine A in elderly Chinese people, and identified the covariate affecting its pharmacokinetics for optimal individual administration. METHODS A total of 341 serum huperzine A concentration records was obtained from 2 completed clinical trials (14 elderly healthy subjects in a phase I pharmacokinetic study; 35 elderly AD patients in a phase II study). Population pharmacokinetic analysis was performed using the non-linear mixed-effect modeling software Phoenix NLME1.1.1. The effects of age, gender, body weight, height, creatinine, endogenous creatinine clearance rate as well as drugs administered concomitantly were analyzed. Bootstrap and visual predictive checks were used simultaneously to validate the final population pharmacokinetics models. RESULTS The plasma concentration-time profile of huperzine A was best described by a one-compartment model with first-order absorption and elimination. Age was identified as the covariate having significant influence on huperzine A clearance. The final PPK model of huperzine A was: CL (L/h)=2.4649(*)(age/86)((-3.3856)), Ka=0.6750 h(-1), V (L)=104.216. The final PPK model was demonstrated to be suitable and effective by the bootstrap and visual predictive checks. CONCLUSION A PPK model of huperzine A in elderly Chinese subjects is established, which can be used to predict PPK parameters of huperzine A in the treatment of elderly AD patients.
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Morasch KC, Aaron CL, Moon JE, Gordon RK. Physiological and neurobehavioral effects of cholinesterase inhibition in healthy adults. Physiol Behav 2014; 138:165-72. [PMID: 25455867 DOI: 10.1016/j.physbeh.2014.09.010] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2014] [Accepted: 09/26/2014] [Indexed: 10/24/2022]
Abstract
INTRODUCTION Based on common pharmacodynamic mechanisms, recent efforts to develop second generation alternatives for organophosphate (OP) prophylaxis have expanded to include cholinesterase (ChE) inhibiting compounds traditionally approved for use in the treatment of Alzheimer's disease (AD). The primary purpose of this study was to determine the extent to which low-dose huperzine A, galantamine, or donepezil selectively inhibited acetylcholinesterase (AChE) versus butyrylcholinesterase (BChE) activity in healthy adults and whether such inhibition impacted neurobehavioral performance. METHODS In addition to hourly red blood cell cholinesterase sampling, neurobehavioral function was assessed before and after a single oral dose of huperzine A (100 or 200 μg), galantamine (4 or 8 mg), donepezil (2.5 or 5mg), or placebo (n=12 subjects per drug/dose). RESULTS Compared to placebo, both dosages of huperzine A and galantamine inhibited circulating AChE but not BChE. With the exception of huperzine A (200 μg), which maintained declarative recall performance across sessions, compounds did not improve neurobehavioral performance. Some aspects of neurobehavioral performance correlated with AChE activity, although associations may have reflected time of day effects. DISCUSSION Although huperzine A and galantamine significantly inhibited AChE (and likely increased central acetylcholine levels), neither compound improved neurobehavioral performance. The latter was likely due to ceiling effects in this young, healthy test population. Under conditions of reduced cholinergic activity (e.g., Alzheimer's disease), AChE inhibition (and corresponding maintenance of cholinergic tone) could potentially maintain/augment some aspects of neurobehavioral function.
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Affiliation(s)
| | | | - James E Moon
- Walter Reed Army Institute of Research, United States
| | - Richard K Gordon
- United States Army Medical Research and Materiel Command, United States
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Azevedo Marques L, Giera M, Lingeman H, Niessen WM. Analysis of acetylcholinesterase inhibitors: bioanalysis, degradation and metabolism. Biomed Chromatogr 2010; 25:278-99. [PMID: 21154892 DOI: 10.1002/bmc.1573] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2010] [Revised: 10/14/2010] [Accepted: 10/15/2010] [Indexed: 11/08/2022]
Abstract
Alzheimer's is a neurodegenerative disease. Its symptoms are attributed to a deficiency of cholinergic neurotransmission. The drugs of choice for the treatment of Alzheimer's disease are acetylcholinesterase (AChE) inhibitors. Starting in the 1980's from non-specific AChE inhibitors, the first-generation drugs such as physostigmine, a second generation of more selective and better tolerated products has been developed. Methods to detect and quantify these drugs and their metabolites in biological samples have been developed for analysis in plasma, blood, urine and cerebrospinal fluid. Diverse detection techniques have been used, such as ultraviolet, fluorescence, electrochemical and mass spectrometry. In this review, the methods applied to the analysis of these drugs and their metabolites in different biological matrices are reviewed and discussed. The stability of these drugs in biological matrices and under stress-conditions is also included in the discussion.
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Affiliation(s)
- Lygia Azevedo Marques
- VU University Amsterdam, Faculty of Sciences, BioMolecular Analysis group, De Boelelaan 1083, 1081 HV Amsterdam, The Netherlands
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