• Title/Summary/Keyword: PHARMACOKINETICS

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Development of a New Similarity Index to Compare Time-series Profile Data for Animal and Human Experiments (동물 및 임상 시험의 시계열 프로파일 데이터 비교를 위한 유사성 지수 개발)

  • Lee, Ye Gyoung;Lee, Hyun Jeong;Jang, Hyeon Ae;Shin, Sangmun
    • Journal of Korean Society for Quality Management
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    • v.49 no.2
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    • pp.145-159
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    • 2021
  • Purpose: A statistical similarity evaluation to compare pharmacokinetics(PK) profile data between nonclinical and clinical experiments has become a significant issue on many drug development processes. This study proposes a new similarity index by considering important parameters, such as the area under the curve(AUC) and the time-series profile of various PK data. Methods: In this study, a new profile similarity index(PSI) by using the concept of a process capability index(Cp) is proposed in order to investigate the most similar animal PK profile compared to the target(i.e., Human PK profile). The proposed PSI can be calculated geometric and arithmetic means of all short term similarity indices at all time points on time-series both animal and human PK data. Designed simulation approaches are demonstrated for a verification purpose. Results: Two different simulation studies are conducted by considering three variances(i.e., small, medium, and large variances) as well as three different characteristic types(smaller the better, larger the better, nominal the best). By using the proposed PSI, the most similar animal PK profile compare to the target human PK profile can be obtained in the simulation studies. In addition, a case study represents differentiated results compare to existing simple statistical analysis methods(i.e., root mean squared error and quality loss). Conclusion: The proposed PSI can effectively estimate the level of similarity between animal, human PK profiles. By using these PSI results, we can reduce the number of animal experiments because we only focus on the significant animal representing a high PSI value.

Compatibility Study between Physiologically Based Pharmacokinetic (PBPK) and Compartmental PK Model Using Lumping Method: Application to the Voriconazole Case (럼핑법을 이용한 생리학 기반 약물동태모델 및 구획화 약물동태모델 상호 호환 연구: 보리코나졸 적용 연구)

  • Ryu, Hyo-jeong;Kang, Won-ho;Chae, Jung-woo;Yun, Hwi-yeol
    • Korean Journal of Clinical Pharmacy
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    • v.31 no.2
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    • pp.125-135
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    • 2021
  • Background: Generally, pharmacokinetics (PK) models could be stratified into two models. The compartment PK model uses the concept of simple compartmentalization to describe complex bodies, and the physiologically based pharmacokinetic (PBPK) model describes the body using multi-compartment networking. Notwithstanding sharing a theoretical background in both models, there was still a lack of knowledge to enhance compatibility in both models. Objective: This study aimed to evaluate the compatibility among PBPK, lumping model and compartment PK model with voriconazole PK case study. Methods: The number of compartments and blood flow on each tissue in the PBPK model were modified using the lumping method, considering physiological similarities. The concentration-time profiles and area under the concentration-time curve (AUC) parameters were simulated at each model, assuming taken voriconazole oral 400 mg single dose. After that, those mentioned PK parameters were compared. Results: The PK profiles and parameters of voriconazole in the three models were similar that proves their compatibility. The AUC of central compartment in the PBPK and lumping model was within a 2-fold range compared to those in the 2- compartment model. The AUC of non-eliminating tissues compartment in the PBPK model was similar to those in the lumping model. Conclusion: Regarding the compatibility of the three PK models, the utilization of the lumping method was confirmed by suggesting its reliable PK parameters with PBPK and compartment PK models. Further case studies are recommended to confirm our findings.

Application of periostin peptide-decorated self-assembled protein cage nanoparticles for therapeutic angiogenesis

  • Kim, Ba Reun;Yoon, Jung Won;Choi, Hyukjun;Kim, Dasol;Kang, Sebyung;Kim, Jae Ho
    • BMB Reports
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    • v.55 no.4
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    • pp.175-180
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    • 2022
  • Peptides are gaining substantial attention as therapeutics for human diseases. However, they have limitations such as low bioavailability and poor pharmacokinetics. Periostin, a matricellular protein, can stimulate the repair of ischemic tissues by promoting angiogenesis. We have previously reported that a novel angiogenic peptide (amino acids 142-151) is responsible for the pro-angiogenic activity of periostin. To improve the in vivo delivery efficiency of periostin peptide (PP), we used proteins self-assembled into a hollow cage-like structure as a drug delivery nanoplatform in the present study. The periostin peptide was genetically inserted into lumazine synthase (isolated from Aquifex aeolicus) consisting of 60 identical subunits with an icosahedral capsid architecture. The periostin peptide-bearing lumazine synthase protein cage nanoparticle with 60 periostin peptides multivalently displayed was expressed in Escherichia coli and purified to homogeneity. Next, we examined angiogenic activities of this periostin peptide-bearing lumazine synthase protein cage nanoparticle. AaLS-periostin peptide (AaLS-PP), but not AaLS, promoted migration, proliferation, and tube formation of human endothelial colony-forming cells in vitro. Intramuscular injection of PP and AaLS-PP increased blood perfusion and attenuated severe limb loss in the ischemic hindlimb. However, AaLS did not increase blood perfusion or alleviate tissue necrosis. Moreover, in vivo administration of AaLS-PP, but not AaLS, stimulated angiogenesis in the ischemic hindlimb. These results suggest that AaLS is a highly useful nanoplatform for delivering pro-angiogenic peptides such as PP.

Pharmacokinetic profiles of levofloxacin after intravenous, intramuscular and subcutaneous administration to rabbits (Oryctolagus cuniculus)

  • Sitovs, Andrejs;Voiko, Laura;Kustovs, Dmitrijs;Kovalcuka, Liga;Bandere, Dace;Purvina, Santa;Giorgi, Mario
    • Journal of Veterinary Science
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    • v.21 no.2
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    • pp.32.1-32.13
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    • 2020
  • Levofloxacin pharmacokinetic profiles were evaluated in 6 healthy female rabbits after intravenous (I/V), intramuscular (I/M), or subcutaneous (S/C) administration routes at a single dose of 5 mg/kg in a 3 × 3 cross-over study. Plasma levofloxacin concentrations were detected using a validated Ultra Performance Liquid Chromatography method with a fluorescence detector. Levofloxacin was quantifiable up to 10 h post-drug administration. Mean AUC0-last values of 9.03 ± 2.66, 9.07 ± 1.80, and 9.28 ± 1.56 mg/h*L were obtained via I/V, I/M, and S/C, respectively. Plasma clearance was 0.6 mL/g*h after I/V administration. Peak plasma concentrations using the I/M and S/C routes were 3.33 ± 0.39 and 2.91 ± 0.56 ㎍/mL. Bioavailability values, after extravascular administration were complete, - 105% ± 27% (I/M) and 118% ± 40% (S/C). Average extraction ratio of levofloxacin after I/V administration was 7%. Additionally, levofloxacin administration effects on tear production and osmolarity were evaluated. Tear osmolarity decreased within 48 h post-drug administration. All 3 levofloxacin administration routes produced similar pharmacokinetic profiles. The studied dose is unlikely to be effective in rabbits; however, it was calculated that a daily dose of 29 mg/kg appears effective for I/V administration for pathogens with MIC < 0.5 ㎍/mL.

A Sensitive, Efficient, and Cost-Effective Method to Determine Rotigotine in Rat Plasma Using Liquid-Liquid Extraction (LLE) and LC-MRM

  • Kim, Ji Seong;Jang, Yong Jin;Kim, Jin Hee;Kim, Jin Hwan;Seo, Jae Hee;Park, Il-Ho;Kang, Myung Joo;Choi, Yong Seok
    • Mass Spectrometry Letters
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    • v.13 no.4
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    • pp.146-151
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    • 2022
  • Rotigotine (RTG) is a non-ergot dopamine agonist used to manage the early stage of Parkinson's disease (PD) as transdermal patch. However, the poor medication compliance of PD patients and skin issues related with repeated applications of RTG patches lead to the search for alternative formulations and it also requires appropriate analytical methods for their in vivo evaluation. Thus, here, a sensitive, efficient, and cost-effective method to determine RTG in rat plasma using liquid-liquid extraction (LLE) and multiple reaction monitoring was developed. The use of 20 µL of rat plasma for sample treatment, 8-OH-DPAT as the internal standard, and methyl tert-butyl ether as the LLE solvent in the present method gives it advantages over previous methods for the analysis of RTG in biological samples. The good analytical performance of the developed method was confirmed in specificity, linearity (the coefficient of determination ≥0.999 within 0.1-100 ng/mL), sensitivity (the lower limit of quantitation at 0.1 ng/mL), accuracy (81.00-115.05%), precision (≤10.75%), and recovery (81.00-104.48%) by following the FDA guidelines. Finally, the applicability test of the validated method to the in vivo evaluation of a RTG formulation showed that the present method is the only method which can be accurately applied to that longer than 24 hours, critical for the development of formulations with reduced dosing frequencies. Therefore, the present method could contribute to the development of new RTG formulations helpful to people suffering from PD.

Present Status and Future of AI-based Drug Discovery (신약개발에서의 AI 기술 활용 현황과 미래)

  • Jung, Myunghee;Kwon, Wonhyun
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.25 no.12
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    • pp.1797-1808
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    • 2021
  • Artificial intelligence is considered one of the core technologies leading the 4th industrial revolution. It is adopted in various fields bringing about a huge paradigm shift throughout our society. The field of biotechnology is no exception. It is undergoing innovative development by converging with other disciplines such as computers, electricity, electronics, and so on. In drug discovery and development, big data-based AI technology has a great potential of improving the efficiency and quality of drug development, rapidly advancing to overcome the limitations in the existing drug development process. AI technology is to be specialized and developed for the purpose including clinical efficacy and safety-related end points based on the multidisciplinary knowledge such as biology, chemistry, toxicology, pharmacokinetics, etc. In this paper, we review the current status of AI technology applied for drug discovery and consider its limitations and future direction.

PSMA Inhibitors for Nuclear Imaging and Radiotherapy of Prostate Cancer

  • Sajid Mushtaq;Tugsuu Uyanga;Park Ji Ae;Jung Young Kim
    • Journal of Radiopharmaceuticals and Molecular Probes
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    • v.9 no.1
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    • pp.23-33
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    • 2023
  • Prostate cancer ranks as the world's second most frequently diagnosed cancer among men, and is responsible for the fifth highest number of cancer-related deaths in this population. The development of effective diagnostic and therapeutic approaches for prostate cancer remains a major challenge in the field of oncology. Over the past few years, the prostate-specific membrane antigen (PSMA) has raised as a hopeful tracer for the diagnosis and treatment of prostate cancer.Various radioisotopes, such as 131I, 99mTc, 68Ga, and 177Lu, have been used to label PSMA analogues, with varying degrees of success. Among these, 68Ga-PSMA-11 and 177Lu-PSMA-617 have emerged as the most promising radioligands for clinical use. Recently, researchers have been exploring the use of other radioisotopes, such as 211At, 89Zr, 64/67Cu, and 203/212Pb, for the labeling of PSMA-targeted radioligands. These radioisotopes have unique properties that may offer advantages over existing radioligands, such as longer half-lives, higher specific activities, and different emission profiles. Efforts are currently underway to develop these radiopharmaceuticals and make them more widely available for clinical use. These exciting developments highlight the potential of PSMA-targeted radioligands for the diagnosis and treatment of prostate cancer, and provided significant implications for the management of this disease in the future. The current study aims to provide a comprehensive summary of the latest research and clinical applications of radiolabeled PSMA inhibitors for diagnoses and therapy of prostate cancer, emphasizing the exciting developments in the field and their potential impact on clinical practice.

Comparison of Fentanyl-Based Rapid Onset Opioids for the Relief of Breakthrough Cancer Pain: Drug Price Based on Effect Size

  • Seongchul Kim;Hayoun Jung;Jina Park;Jinsol Baek;Yeojin Yun;Junghwa Hong;Eunyoung Kim
    • Korean Journal of Clinical Pharmacy
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    • v.33 no.1
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    • pp.43-50
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    • 2023
  • Background and Objective: With the advancement of cancer treatments and increased life expectancy, managing breakthrough cancer pain (BTcP) is essential to improve the quality of life for cancer patients. This study aimed to compare the major rapid onset opioids in Korea based on their characteristics and costs to determine the best option for each patient. Methods: Based on sales information from IQVIA-MIDAS, sublingual fentanyl tablet (SLF), fentanyl buccal tablet (FBT), and oral transmucosal fentanyl citrate (OTFC) were selected as the top three drugs for the treatment of BTcP in Korea, considering them the most comparable drugs. The cost and cost-pain relief ratio of the drugs for short-term (1 month) and long-term (1 year) treatment were compared and the ease of administration based on various factors, including pharmacokinetics, onset of action, and administration procedures were evaluated. Results: SLF was evaluated as the best overall in terms of rapid onset of action, ease of administration, and drug cost and also had the highest market share. SLF had the lowest cost pain relief ratio for both the initial and supplemental treatment for the 1-month pain intensity difference 15 (PID15) ratio. However, for the 1-month PID30 ratio, SLF was not superior to OTFC or FBT. The longer the breakthrough cancer pain duration, the more cost-effective the other rapid onset opioids. Conclusion: The rapid onset opioids that fit the patient's breakthrough cancer pain pattern have the best cost-effectiveness.

Development of a model to predict vancomycin serum concentration during continuous infusion of vancomycin in critically ill pediatric patients

  • Yu Jin Han;Wonjin Jang;Jung Sun Kim;Hyun Jeong Kim;Sung Yun Suh;Yoon Sook Cho;June Dong Park;Bongjin Lee
    • The Korean Journal of Physiology and Pharmacology
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    • v.28 no.2
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    • pp.121-127
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    • 2024
  • Vancomycin is a frequently used antibiotic in intensive care units, and the patient's renal clearance affects the pharmacokinetic characteristics of vancomycin. Several advantages have been reported for vancomycin continuous intravenous infusion, but studies on continuous dosing regimens based on patients' renal clearance are insufficient. The aim of this study was to develop a vancomycin serum concentration prediction model by factoring in a patient's renal clearance. Children admitted to our institution between July 1, 2021, and July 31, 2022 with records of continuous infusion of vancomycin were included in the study. Sex, age, height, weight, vancomycin dose by weight, interval from the start of vancomycin administration to the time of therapeutic drug monitoring sampling, and vancomycin serum concentrations were analyzed with the linear regression analysis of the mixed effect model. Univariable regression analysis was performed using the vancomycin serum concentration as a dependent variable. It showed that vancomycin dose (p < 0.001) and serum creatinine (p = 0.007) were factors that had the most impact on vancomycin serum concentration. Vancomycin serum concentration was affected by vancomycin dose (p < 0.001) and serum creatinine (p = 0.001) with statistical significance, and a multivariable regression model was obtained as follows: Vancomycin serum concentration (mg/l) = -1.296 + 0.281 × vancomycin dose (mg/kg) + 20.458 × serum creatinine (mg/dl) (adjusted coefficient of determination, R2 = 0.66). This prediction model is expected to contribute to establishing an optimal continuous infusion regimen for vancomycin.

A Study on the Development of Guideline for Co-Administration of Four Types of Herbal Medicine and Escitalopram (항우울제와 한약제제의 병용투여지침 개발-에스시탈로프람과 보험 4종 한약제제를 중심으로)

  • Do-Eun Lee;Kyeong Jin Ko;Young-Woo Kim;Choon Ok Kim;Hyung Won Kang
    • Journal of Oriental Neuropsychiatry
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    • v.35 no.3
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    • pp.217-229
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    • 2024
  • Objectives: To develop guidelines for concomitant use of four herbal medicines (Gamisoyosan, Banhasasimtang, Ojeoksan, and Bojungikgitang) with escitalopram. Methods: A guideline development team was assembled and relevant prior research was systematically reviewed to gather evidence. The potential for drug interactions was evaluated by analyzing changes in pharmacokinetic parameters. Safety was assessed through the analysis of adverse drug reactions associated with combined use. Recommendations and concomitant administration guidelines were formulated through a consensus process. Results: No significant drug interactions were identified between the four herbal medicines and escitalopram, indicating no need for dosage adjustment of escitalopram. However, it is recommended to monitor potential adverse reactions during concurrent use. Conclusions: This study provides recommendations for combined use of four herbal medicines covered by domestic insurance combined with escitalopram. Further research on interactions between antidepressants and herbal medicine is necessary to refine and enhance concomitant administration guidelines.