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Yue Z, Xue X, Qian J. The association between polypharmacy and health-related quality of life among older adults with prostate cancer. J Geriatr Oncol 2024; 15:101772. [PMID: 38676976 DOI: 10.1016/j.jgo.2024.101772] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2023] [Revised: 03/25/2024] [Accepted: 04/11/2024] [Indexed: 04/29/2024]
Abstract
INTRODUCTION Older adults with prostate cancer (PC) are at risk of polypharmacy, which further complicates disease management and health-related quality of life (HRQoL). This study evaluated the association between polypharmacy and HRQoL among Medicare beneficiaries with PC. MATERIALS AND METHODS This observational, retrospective study analyzed data from the Surveillance, Epidemiology, and End Results (SEER) Medicare Health Outcomes Survey (MHOS) data resource. Beneficiaries aged ≥65 and enrolled in Medicare Advantage Organizations were included if they had a PC diagnosis and continuously enrolled in Part D for 12 months prior to the completion of MHOS. Polypharmacy was determined based on the unique number of concurrent Part D prescriptions during 12 months before survey: no polypharmacy (NP, n = 0-4), polypharmacy (PP, n = 5-9), and excessive polypharmacy (EPP, n ≥ 10). HRQoL was assessed using the Physical and Mental Component Summary T-scores (PCS and MCS, respectively) in MHOS. ANOVA and Pearson's Chi-Square tests were performed to assess variances between polypharmacy and continuous/categorical variables. Multivariate linear regression models with generalized estimating equations were used to assess the association between polypharmacy and HRQoL. The severely impaired HRQoL cohort was identified based on normalized z-scores of PCS and MCS. Odds ratios were calculated to prioritize drug-drug and class-class pairs associated with patients with severely impaired HRQoL. RESULTS Data from 16,573 beneficiaries (24,126 records) showed that 44.4% had PP and 10.1% had EPP. Beneficiaries with PP and EPP had significantly lower mean PCS and MCS scores compared to those without polypharmacy (p < 0.001). After adjusting for covariates, beneficiaries with EPP had clinically significantly lower PCS (adjusted marginal difference: -8.47 [-9.00, -7.94]) and MCS (adjusted marginal difference: -4.32 [-4.89, -3.75]) compared to the NP group. Top-ranked drug-drug pairs like tiotropium bromide and oxycodone/acetaminophen exhibited significant associations with HRQoL decline. Analysis of class-class pairs highlighted (1) corticosteroid hormone receptor agonists and opioid agonists and (2) benzodiazepines and adrenergic beta2-agonists as having significant associations with HRQoL decline. DISCUSSION Polypharmacy exhibits a significant association with HRQoL declines among older adults with PC.
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Affiliation(s)
- Zongliang Yue
- Auburn University Harrison College of Pharmacy, Auburn, AL, USA
| | - Xiangzhong Xue
- Auburn University Harrison College of Pharmacy, Auburn, AL, USA
| | - Jingjing Qian
- Auburn University Harrison College of Pharmacy, Auburn, AL, USA.
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2
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Qin F, Wan C, Zhang Y. Computer-aided optimization of carbidopa/levodopa orally disintegrating tablets. Drug Dev Ind Pharm 2024; 50:331-340. [PMID: 38456721 DOI: 10.1080/03639045.2024.2327475] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2023] [Accepted: 03/01/2024] [Indexed: 03/09/2024]
Abstract
OBJECTIVE This study aimed to optimize the formulation of carbidopa/levodopa orally disintegrating tablets (ODTs) in order to improve their disintegration performance, and facilitate easier medication intake for Parkinson's patients. METHOD The response surface methodology (RSM) was used to optimize the formulation, with the content of cross-linked polyvinylpyrrolidone (PVPP), microcrystalline cellulose (MCC), and mannitol (MNT) as independent variables, and disintegration time as the response parameter. Python was utilized to model Carr Indices and mixing time to determine the suitable mixing time. Direct compression (DC) was used for the preparation of ODTs. RESULT The optimization process resulted in the following values for the independent variables: 7.04% PVPP, 22.02% MCC, and 16.21% MNT. By optimizing the mixing time using Python, it was reduced to 14.19 min. The ODTs prepared using the optimized formulation and a mixing time of 14.19 min exhibited disintegration times of 16.74 s in vitro and 17.63 s in vivo. The content uniformity of levodopa and carbidopa was found to be 100.83% and 99.48%, respectively. CONCLUSION The ODTs optimized using RSM and Python demonstrated excellent disintegration performance, leading to a decrease in the time the drug exists in solid form in the oral cavity. This improvement in disintegration time reduced the difficulty of swallowing for patients and enhanced medication compliance, while still ensuring that ODTs prepared by DC had sufficient mechanical strength to meet storage and transportation requirements.
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Affiliation(s)
- Fucheng Qin
- Department of Pharmaceutical Engineering, College of Chemical Engineering, Qingdao University of Science and Technology, Qingdao, China
| | - Congcong Wan
- Department of Pharmaceutical Engineering, College of Chemical Engineering, Qingdao University of Science and Technology, Qingdao, China
| | - Yuanyuan Zhang
- Department of Pharmaceutical Engineering, College of Chemical Engineering, Qingdao University of Science and Technology, Qingdao, China
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3
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Zhong Z, Ye M, Yan F. A review of studies on gut microbiota and levodopa metabolism. Front Neurol 2023; 14:1046910. [PMID: 37332996 PMCID: PMC10272754 DOI: 10.3389/fneur.2023.1046910] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2022] [Accepted: 05/02/2023] [Indexed: 06/20/2023] Open
Abstract
Parkinson's disease (PD) is the second most common neurodegenerative disease globally. Levodopa (L-dopa) has been the cornerstone for treating Parkinson's since the 1960s. However, complications such as "wearing-off" and dyskinesia inevitably appear with disease progression. With the further development of microbiomics in recent years, It has been recognized that gut microbiota plays a crucial role in Parkinson's disease pathogenesis. However, Little is known about the impact of gut microbiota in PD treatment, especially in levodopa metabolism. This review examines the possible mechanisms of gut microbiota, such as Helicobacter pylori, Enterobacter faecalis, and Clostridium sporogenes, affecting L-dopa absorption. Furthermore, we review the current status of gut microbiota intervention strategies, providing new insights into the treatment of PD.
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Affiliation(s)
- Zhe Zhong
- Department of Neurology, Affiliated Zhongda Hospital, School of Medicine, Research Institution of Neuropsychiatry, Southeast University, Nanjing, China
| | - Min Ye
- Department of Neurology, Affiliated BenQ Hospital of Nanjing Medical University, Nanjing, Jiangsu, China
| | - Fuling Yan
- Department of Neurology, Affiliated Zhongda Hospital, School of Medicine, Research Institution of Neuropsychiatry, Southeast University, Nanjing, China
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Fabbri M, Barbosa R, Rascol O. Off-time Treatment Options for Parkinson's Disease. Neurol Ther 2023; 12:391-424. [PMID: 36633762 PMCID: PMC10043092 DOI: 10.1007/s40120-022-00435-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/08/2022] [Accepted: 12/20/2022] [Indexed: 01/13/2023] Open
Abstract
Motor fluctuations (MF) are deemed by patients with Parkinson's disease (PD) as the most troublesome disease feature resulting from the increasing impairment in responsiveness to dopaminergic drug treatments. MF are characterized by the loss of a stable response to levodopa over the nychthemeron with the reappearance of motor (and non-motor) parkinsonian clinical signs at various moments during the day and night. They normally appear after a few years of levodopa treatment and with a variable, though overall increasing severity, over the disease course. The armamentarium of first-line treatment options has widened in the last decade with new once-a-daily compounds, including a catechol O-methyltransferase inhibitor - Opicapone-, two MAO-B inhibitors plus channel blocker - Zonisamide and Safinamide and one amantadine extended-release formulation - ADS5012. In addition to apomorphine injection or oral levodopa dispersible tablets, which have been available for a long time, new on-demand therapies such as apomorphine sublingual or levodopa inhaled formulations have recently shown efficacy as rescue therapies for Off-time treatment. When the management of MF becomes difficult in spite of oral/on-demand options, more complex therapies should be considered, including surgical, i.e. deep brain stimulation, or device-aided therapies with pump systems delivering continuous subcutaneous or intestinal levodopa or subcutaneous apomorphine formulation. Older and less commonly used ablative techniques (radiofrequency pallidotomy) may also be effective while there is still scarce data regarding Off-time reduction using a new lesional approach, i.e. magnetic resonance-guided focused ultrasound. The choice between the different advanced therapies options is a shared decision that should consider physician opinion on contraindication/main target symptom, patients' preference, caregiver's availability together with public health systems and socio-economic environment. The choice of the right/first add-on treatment is still a matter of debate as well as the proper time for an advanced therapy to be considered. In this narrative review, we discuss all the above cited aspects of MF in patients with PD, including their phenomenology, management, by means of pharmacological and advanced therapies, on-going clinical trials and future research and treatment perspectives.
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Affiliation(s)
- Margherita Fabbri
- Department of Clinical Pharmacology and Neurosciences, Toulouse Parkinson Expert Centre, Toulouse NeuroToul Center of Excellence in Neurodegeneration (COEN), French NS-Park/F-CRIN Network, University of Toulouse 3, CHU of Toulouse, INSERM, Toulouse, France.
| | - Raquel Barbosa
- Department of Clinical Pharmacology and Neurosciences, Toulouse Parkinson Expert Centre, Toulouse NeuroToul Center of Excellence in Neurodegeneration (COEN), French NS-Park/F-CRIN Network, University of Toulouse 3, CHU of Toulouse, INSERM, Toulouse, France.,Department of Neurology, Hospital de Egas Moniz Centro Hospitalar de Lisboa Ocidental, Lisbon, Portugal.,NOVA Medical School, Faculdade de Ciências Médicas Universidade Nova de Lisboa, Lisbon, Portugal
| | - Olivier Rascol
- Department of Clinical Pharmacology and Neurosciences, Toulouse Parkinson Expert Centre, Toulouse NeuroToul Center of Excellence in Neurodegeneration (COEN), French NS-Park/F-CRIN Network, University of Toulouse 3, CHU of Toulouse, INSERM, Toulouse, France
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5
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Tarianyk KA. THE CORRECTION OF NON-MOTOR SYMPTOMS IN DIFFERENT FORMS OF PARKINSON’S DISEASE BY OPTIMIZATION THERAPY WITH LEVODOPA. BULLETIN OF PROBLEMS BIOLOGY AND MEDICINE 2023. [DOI: 10.29254/2077-4214-2022-4-167-237-241] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
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6
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Di Luca DG, Reyes NGD, Fox SH. Newly Approved and Investigational Drugs for Motor Symptom Control in Parkinson's Disease. Drugs 2022; 82:1027-1053. [PMID: 35841520 PMCID: PMC9287529 DOI: 10.1007/s40265-022-01747-7] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/26/2022] [Indexed: 12/11/2022]
Abstract
Motor symptoms are a core feature of Parkinson’s disease (PD) and cause a significant burden on patients’ quality of life. Oral levodopa is still the most effective treatment, however, the motor benefits are countered by inherent pharmacologic limitations of the drug. Additionally, with disease progression, chronic levodopa leads to the appearance of motor complications including motor fluctuations and dyskinesia. Furthermore, several motor abnormalities of posture, balance, and gait may become less responsive to levodopa. With these unmet needs and our evolving understanding of the neuroanatomic and pathophysiologic underpinnings of PD, several advances have been made in defining new therapies for motor symptoms. These include newer levodopa formulations and drug delivery systems, refinements in adjunctive medications, and non-dopaminergic treatment strategies. Although some are in early stages of development, these novel treatments potentially widen the available options for the management of motor symptoms allowing clinicians to provide an individually tailored care for PD patients. Here, we review the existing and emerging interventions for PD with focus on newly approved and investigational drugs for motor symptoms, motor fluctuations, dyskinesia, and balance and gait dysfunction.
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Affiliation(s)
- Daniel Garbin Di Luca
- Edmond J. Safra Program in Parkinson's Disease, Movement Disorders Clinic, Krembil Brain Institute, Toronto Western Hospital, Toronto, ON, Canada.,Institute of Health Policy, Management and Evaluation, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
| | - Nikolai Gil D Reyes
- Edmond J. Safra Program in Parkinson's Disease, Movement Disorders Clinic, Krembil Brain Institute, Toronto Western Hospital, Toronto, ON, Canada
| | - Susan H Fox
- Edmond J. Safra Program in Parkinson's Disease, Movement Disorders Clinic, Krembil Brain Institute, Toronto Western Hospital, Toronto, ON, Canada.
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7
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Marino BLB, de Souza LR, Sousa KPA, Ferreira JV, Padilha EC, da Silva CHTP, Taft CA, Hage-Melim LIS. Parkinson's Disease: A Review from Pathophysiology to Treatment. Mini Rev Med Chem 2021; 20:754-767. [PMID: 31686637 DOI: 10.2174/1389557519666191104110908] [Citation(s) in RCA: 82] [Impact Index Per Article: 27.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2018] [Revised: 04/02/2019] [Accepted: 09/02/2019] [Indexed: 12/15/2022]
Abstract
Parkinson's Disease (PD) is the second most common neurodegenerative disease in the elderly population, with a higher prevalence in men, independent of race and social class; it affects approximately 1.5 to 2.0% of the elderly population over 60 years and 4% for those over 80 years of age. PD is caused by the necrosis of dopaminergic neurons in the substantia nigra, which is the brain region responsible for the synthesis of the neurotransmitter dopamine (DA), resulting in its decrease in the synaptic cleft. The monoamine oxidase B (MAO-B) degrades dopamine, promoting the glutamate accumulation and oxidative stress with the release of free radicals, causing excitotoxicity. The PD symptoms are progressive physical limitations such as rigidity, bradykinesia, tremor, postural instability and disability in functional performance. Considering that there are no laboratory tests, biomarkers or imaging studies to confirm the disease, the diagnosis of PD is made by analyzing the motor features. There is no cure for PD, and the pharmacological treatment consists of a dopaminergic supplement with levodopa, COMT inhibitors, anticholinergics agents, dopaminergic agonists, and inhibitors of MAO-B, which basically aims to control the symptoms, enabling better functional mobility and increasing life expectancy of the treated PD patients. Due to the importance and increasing prevalence of PD in the world, this study reviews information on the pathophysiology, symptomatology as well as the most current and relevant treatments of PD patients.
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Affiliation(s)
- Bianca L B Marino
- Laboratorio de Quimica Farmaceutica e Medicinal (PharMedChem), Universidade Federal do Amapa, Macapa, Amapa, Brazil
| | - Lucilene R de Souza
- Laboratorio de Quimica Farmaceutica e Medicinal (PharMedChem), Universidade Federal do Amapa, Macapa, Amapa, Brazil
| | - Kessia P A Sousa
- Laboratorio de Quimica Farmaceutica e Medicinal (PharMedChem), Universidade Federal do Amapa, Macapa, Amapa, Brazil
| | - Jaderson V Ferreira
- Laboratorio de Quimica Farmaceutica e Medicinal (PharMedChem), Universidade Federal do Amapa, Macapa, Amapa, Brazil
| | - Elias C Padilha
- Faculdade de Ciencias Farmaceuticas, Universidade Estadual Paulista (UNESP), Campus Araraquara, Departamento de Principios Ativos Naturais e Toxicologia, Araraquara, Sao Paulo, Brazil
| | - Carlos H T P da Silva
- Laboratório Computacional de Química Farmacêutica, Departamento de Ciências Farmacêuticas, Faculdade de Ciências Farmacêuticas de Ribeirão Preto, Universidade de São Paulo, Ribeirão Preto, São Paulo, Brazil.,Department of Chemistry, School of Philosophy, Sciences and Letters of Ribeirao Preto, University of Sao Paulo, Ribeirao Preto, Brazil
| | - Carlton A Taft
- Centro Brasileiro de Pesquisas Fisicas, Rio de Janeiro, Brazil
| | - Lorane I S Hage-Melim
- Laboratorio de Quimica Farmaceutica e Medicinal (PharMedChem), Universidade Federal do Amapa, Macapa, Amapa, Brazil
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8
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Gilbert RM. Update on Parkinson's Disease Therapy. Neurology 2021. [DOI: 10.17925/usn.2021.17.2.92] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
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9
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Urso D, Chaudhuri KR, Qamar MA, Jenner P. Improving the Delivery of Levodopa in Parkinson's Disease: A Review of Approved and Emerging Therapies. CNS Drugs 2020; 34:1149-1163. [PMID: 33146817 DOI: 10.1007/s40263-020-00769-7] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 09/26/2020] [Indexed: 01/28/2023]
Abstract
Levodopa is the most effective drug for the treatment of Parkinson's disease, but its use as an oral medication is complicated by its erratic absorption, extensive metabolism and short plasma half-life. On long-term use and with disease progression, there is a high incidence of motor and non-motor complications, which remain a major clinical and research challenge. It is widely accepted that levodopa needs to be administered using formulations that result in good and consistent bioavailability and the physiologically relevant and continuous formation of dopamine in the brain to maximise its efficacy while avoiding and reversing 'wearing off' and dyskinesia. However, the physicochemical properties of levodopa along with its pharmacokinetic and pharmacodynamic profile make it difficult to deliver the drug in a manner that fulfils these criteria. In this review, we examine the problems associated with the administration of levodopa in Parkinson's disease and how the use of novel technologies and delivery devices is leading to a more consistent and sustained levodopa delivery with the aim of controlling motor function as well as non-motor symptoms.
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Affiliation(s)
- Daniele Urso
- Department of Neurosciences, King's College London, Institute of Psychiatry, Psychology and Neuroscience, De Crespigny Park, London, SE5 8AF, UK. .,Parkinson's Foundation Centre of Excellence, King's College Hospital, Denmark Hill, London, UK.
| | - K Ray Chaudhuri
- Department of Neurosciences, King's College London, Institute of Psychiatry, Psychology and Neuroscience, De Crespigny Park, London, SE5 8AF, UK.,Parkinson's Foundation Centre of Excellence, King's College Hospital, Denmark Hill, London, UK
| | - Mubasher A Qamar
- Department of Neurosciences, King's College London, Institute of Psychiatry, Psychology and Neuroscience, De Crespigny Park, London, SE5 8AF, UK.,Parkinson's Foundation Centre of Excellence, King's College Hospital, Denmark Hill, London, UK
| | - Peter Jenner
- Institute of Pharmaceutical Sciences, Faculty of Life Sciences and Medicine, King's College, London, UK
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10
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Zhang Z, Zhou Y, Zhao H, Xu J, Yang X. Association Between Pathophysiological Mechanisms of Diabetic Retinopathy and Parkinson's Disease. Cell Mol Neurobiol 2020; 42:665-675. [PMID: 32880791 DOI: 10.1007/s10571-020-00953-9] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2020] [Accepted: 08/22/2020] [Indexed: 11/27/2022]
Abstract
Diabetic retinopathy, the most common complication of diabetes, is a neurodegenerative disease in the eye. And Parkinson's disease, affecting the health of 1-2% of people over 60 years old throughout the world, is the second largest neurodegenerative disease in the brain. As the understanding of diabetic retinopathy and Parkinson's disease deepens, the two diseases are found to show correlation in incidence, similarity in clinical presentation, and close association in pathophysiological mechanisms. To reveal the association between pathophysiological mechanisms of the two disease, in this review, the shared pathophysiological factors of diabetic retinopathy and Parkinson's disease are summarized and classified into dopaminergic system, circadian rhythm, neurotrophic factors, α-synuclein, and Wnt signaling pathways. Furthermore, similar and different mechanisms so far as the shared pathophysiological factors of the two disorders are discussed systematically. Finally, a brief summary and new perspectives are presented to provide new directions for further efforts on the association, exploration, and clinical prevention and treatment of diabetic retinopathy and Parkinson's disease.
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Affiliation(s)
- Zhuoqing Zhang
- Department of Ophthalmology, The Affiliated Hospital of Kunming University of Science and Technology, Kunming, Yunnan, China
- Department of Ophthalmology, The First People's Hospital of Yunnan Province, Kunming, Yunnan, China
| | - Yikun Zhou
- Department of Endocrinology, The First People's Hospital of Yunnan Province, Kunming, Yunnan, China
| | - Haiyan Zhao
- Department of Ophthalmology, The Affiliated Hospital of Kunming University of Science and Technology, Kunming, Yunnan, China
- Department of Ophthalmology, The First People's Hospital of Yunnan Province, Kunming, Yunnan, China
| | - Jinghui Xu
- Department of Ophthalmology, The Affiliated Hospital of Kunming University of Science and Technology, Kunming, Yunnan, China
- Department of Ophthalmology, The First People's Hospital of Yunnan Province, Kunming, Yunnan, China
| | - Xiaochun Yang
- Department of Ophthalmology, The Affiliated Hospital of Kunming University of Science and Technology, Kunming, Yunnan, China.
- Department of Ophthalmology, The First People's Hospital of Yunnan Province, Kunming, Yunnan, China.
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11
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Zhang Y, Li Z, Tang H, Ren W, Gao X, Sun Y, Zhao QX, Wang F, Liu J. Development and optimization of levodopa and benzylhydrazine orally disintegrating tablets by direct compression and response surface methodology. Drug Dev Ind Pharm 2019; 46:42-49. [PMID: 31794271 DOI: 10.1080/03639045.2019.1698597] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
The number of Parkinson's disease (PD) patients with the advanced phase and motor fluctuations is increasing. The objective of this study is developing levodopa/benzylhydrazine orally disintegrating tablets (L/B ODTs), which would provide greater convenience and ease of use than conventional tablets for these patients. In the present study, the L/B ODTs were developed successfully with an optimized formulation using response surface methodology (RSM). The direct compression technology was employed for the preparation of L/B ODTs. Considerably shorter disintegration time and faster dissolution profile were obtained under the optimum formulation with microcrystalline cellulose 25.7%, cross-polyvinylpyrrolidone 6.22% and Sodium carboxymethyl starch 5.36%. The content uniformity (%) of levodopa and benzylhydrazine was 50 ± 1.4% and 14.25 ± 0.6%, respectively. Thickness, friability, hardness and wetting time were 2.8 ± 0.05 mm, 0.46 ± 0.21%, 5.42 ± 1.1 kp and 31.2 ± 2.1 s, respectively, and all of data well comply with the General Principles of the Chinese Pharmacopeia. Mannitol of 22% in formulation could bring a pleasant taste: sweet, cool and refreshing. Almost all the volunteers felt that the ODTs had good taste, no roughness, and no gritty feeling, indicating that the ODTs prepared had good palatability, so patients will have good compliance when taking medicine.
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Affiliation(s)
- Yuanyuan Zhang
- State Key Laboratory Base for Eco-Chemical Engineering in College of Chemical Engineering, Qingdao University of Science and Technology, Qingdao, China.,Department of Pharmaceutical Engineering, College of Chemical Engineering, Qingdao University of Science and Technology, Qingdao, China
| | - Zewen Li
- State Key Laboratory Base for Eco-Chemical Engineering in College of Chemical Engineering, Qingdao University of Science and Technology, Qingdao, China
| | - Hui Tang
- State Key Laboratory Base for Eco-Chemical Engineering in College of Chemical Engineering, Qingdao University of Science and Technology, Qingdao, China
| | - Wenjie Ren
- State Key Laboratory Base for Eco-Chemical Engineering in College of Chemical Engineering, Qingdao University of Science and Technology, Qingdao, China
| | - Xin Gao
- State Key Laboratory Base for Eco-Chemical Engineering in College of Chemical Engineering, Qingdao University of Science and Technology, Qingdao, China
| | - Yangjian Sun
- State Key Laboratory Base for Eco-Chemical Engineering in College of Chemical Engineering, Qingdao University of Science and Technology, Qingdao, China
| | - Qiu Xiang Zhao
- State Key Laboratory Base for Eco-Chemical Engineering in College of Chemical Engineering, Qingdao University of Science and Technology, Qingdao, China
| | - Fanye Wang
- State Key Laboratory Base for Eco-Chemical Engineering in College of Chemical Engineering, Qingdao University of Science and Technology, Qingdao, China
| | - Junhong Liu
- State Key Laboratory Base for Eco-Chemical Engineering in College of Chemical Engineering, Qingdao University of Science and Technology, Qingdao, China
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12
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Chaturvedi S, Rashid M, Malik MY, Agarwal A, Singh SK, Gayen JR, Wahajuddin M. Neuropharmacokinetics: a bridging tool between CNS drug development and therapeutic outcome. Drug Discov Today 2019; 24:1166-1175. [PMID: 30898661 DOI: 10.1016/j.drudis.2019.02.007] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2018] [Revised: 01/11/2019] [Accepted: 02/19/2019] [Indexed: 12/27/2022]
Abstract
WHO classified neurological disorders to be among 6.3% of the global disease burden. Among the most central aspects of CNS drug development is the ability of novel molecules to cross the blood-brain barrier (BBB) to reach the target site over a desired time period for therapeutic action. Based on various aspects, brain pharmacokinetics is considered to be one of the foremost perspectives for the higher attrition rate of CNS biologics. Although drug traits are important, the BBB and blood-cerebrospinal fluid barrier together with transporters become the mechanistic approach behind CNS drug delivery. The present review emphasizes neuropharmacokinetic parameters, their importance, an assessment approach and the vast effect of transporters to brain drug distribution for CNS drug discovery.
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Affiliation(s)
- Swati Chaturvedi
- Academy of Scientific and Innovative Research, New Delhi, India; Pharmaceutics and Pharmacokinetics Division, CSIR - Central Drug Research Institute, Lucknow, Uttar Pradesh, India
| | - Mamunur Rashid
- Academy of Scientific and Innovative Research, New Delhi, India
| | - Mohd Yaseen Malik
- Academy of Scientific and Innovative Research, New Delhi, India; Pharmaceutics and Pharmacokinetics Division, CSIR - Central Drug Research Institute, Lucknow, Uttar Pradesh, India
| | - Arun Agarwal
- Academy of Scientific and Innovative Research, New Delhi, India; Pharmaceutics and Pharmacokinetics Division, CSIR - Central Drug Research Institute, Lucknow, Uttar Pradesh, India
| | - Sandeep K Singh
- Academy of Scientific and Innovative Research, New Delhi, India; Pharmaceutics and Pharmacokinetics Division, CSIR - Central Drug Research Institute, Lucknow, Uttar Pradesh, India
| | - Jiaur R Gayen
- Academy of Scientific and Innovative Research, New Delhi, India; Pharmaceutics and Pharmacokinetics Division, CSIR - Central Drug Research Institute, Lucknow, Uttar Pradesh, India
| | - Muhammad Wahajuddin
- Academy of Scientific and Innovative Research, New Delhi, India; Pharmaceutics and Pharmacokinetics Division, CSIR - Central Drug Research Institute, Lucknow, Uttar Pradesh, India.
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13
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Xu R, Zhao W, Yu L, Chen Q, Hu X, Ba Y, Chen X, Wang X, Wu X. A selective and sensitive UFLC-MS/MS method for the simultaneous determination of five alkaloids from Piper longumL. and its application in the pharmacokinetic study of 6-OHDA-induced Parkinson's disease rats. RSC Adv 2019; 9:37082-37091. [PMID: 35539049 PMCID: PMC9075506 DOI: 10.1039/c9ra06325k] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2019] [Accepted: 10/27/2019] [Indexed: 11/21/2022] Open
Abstract
Five alkaloids fromPiper longumL. were simultaneously determined by UFLC-MS/MS and applied in the pharmacokinetic study in PD rats.
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Affiliation(s)
- Rongrong Xu
- Beijing Key Lab of TCM Collateral Disease Theory Research
- School of Traditional Chinese Medicine
- Capital Medical University
- Beijing
- China
| | - Wenwen Zhao
- Beijing Key Lab of TCM Collateral Disease Theory Research
- School of Traditional Chinese Medicine
- Capital Medical University
- Beijing
- China
| | - Lan Yu
- Beijing Key Lab of TCM Collateral Disease Theory Research
- School of Traditional Chinese Medicine
- Capital Medical University
- Beijing
- China
| | - Qijun Chen
- Beijing Key Lab of TCM Collateral Disease Theory Research
- School of Traditional Chinese Medicine
- Capital Medical University
- Beijing
- China
| | - Xiaolu Hu
- Beijing Key Lab of TCM Collateral Disease Theory Research
- School of Traditional Chinese Medicine
- Capital Medical University
- Beijing
- China
| | - Yinying Ba
- Beijing Key Lab of TCM Collateral Disease Theory Research
- School of Traditional Chinese Medicine
- Capital Medical University
- Beijing
- China
| | - Xiaoqing Chen
- Beijing Key Lab of TCM Collateral Disease Theory Research
- School of Traditional Chinese Medicine
- Capital Medical University
- Beijing
- China
| | - Xing Wang
- Beijing Key Lab of TCM Collateral Disease Theory Research
- School of Traditional Chinese Medicine
- Capital Medical University
- Beijing
- China
| | - Xia Wu
- Beijing Key Lab of TCM Collateral Disease Theory Research
- School of Traditional Chinese Medicine
- Capital Medical University
- Beijing
- China
| |
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