Aurelija Noreikaitė
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Aurelija Noreikaitė has a total of 10 co-authors. Here are the top co-authors by number of shared publications:
Edgaras Stankevičius
Institute of Physiology and Pharmacology, Medical Academy, Lithuanian University of Health Sciences
3 shared publicationsEdmundas Kaduševičius
Institute of Physiology and Pharmacology, Medical Academy, Lithuanian University of Health Sciences
2 shared publicationsFranck Saint-Marcoux
INSERM UMR 850, Limoges
2 shared publications- Aida Seitaliyeva
Faculty of Medicine and Healthcare, Al-Farabi Kazakh National University
1 shared publication Elmira Satbayeva
Department of Pharmacology, Asfendiyarov Kazakh National Medical University, Almaty, Republic of Kazakhstan
1 shared publicationGuram Pichkhadze
Department of Pharmacology, Asfendiyarov Kazakh National Medical University, Almaty, Republic of Kazakhstan
1 shared publication
Latest Publications
- Open Access
- 1 March 2017
- Published by Wolters Kluwer Health in Medicine
- Vol. 96 (13) , e6469
Influence of cyclosporine and everolimus on the main mycophenolate mofetil pharmacokinetic parameters
The objective of the present study was to assess the effect of cyclosporine (CsA) on the pharmacokinetic parameters of mycophenolic acid (MPA), an active mycophenolate mofetil (MMF) metabolite, and to compare with the effect of everolimus (EVR). Anonymized medical records of 404 kidney recipients were reviewed. The main MPA pharmacokinetic parameters (AUC(0–12) and Cmax) were evaluated. The patients treated with a higher mean dose of CsA displayed higher MPA AUC(0–12) exposure in the low-dose MMF group (1000 mg/day) (40.50 ± 10.97 vs 28.08 ± 11.03 h mg/L; rs = 0.497, P < 0.05), medium-dose MMF group (2000 mg/day) (43.00 ± 6.27 vs 28.85 ± 11.08 h mg/L; rs = 0.437, P < 0.01), and high-dose MMF group (3000 mg/day) (56.75 ± 16.78 vs 36.20 ± 3.70 h mg/L; rs = 0.608, P < 0.05). A positive correlation was also observed between the mean CsA dose and the MPA Cmax in the low-dose MMF group (Cmax 22.83 ± 10.82 vs 12.08 ± 5.59 mg/L; rs = 0.507, P < 0.05) and in the medium-dose MMF group (22.77 ± 8.86 vs 13.00 ± 6.82 mg/L; rs = 0.414, P < 0.01). The comparative analysis between 2 treatment arms (MMF + CsA and MMF + EVR) showed that MPA AUC(0–12) exposure was by 43% higher in the patients treated with a medium dose of MMF and EVR than in the patients treated with a medium dose of MMF and CsA. The data of the present study suggest a possible CsA versus EVR influence on MMF pharmacokinetics. Study results show that CsA has an impact on the main MPA pharmacokinetic parameters (AUC(0–12) and Cmax) in a CsA dose-related manner, while EVR mildly influence or does not affect MPA pharmacokinetic parameters. Low-dose CsA (lower than 180 mg/day) reduces MPA AUC(0–12) exposure under the therapeutic window and may lead to ineffective therapy, while a high-dose CsA (>240 mg/day) is related to greater than 10 mg/L MPA Cmax and increases the likelihood of adverse events.
- 1 March 2017
- Published by Wolters Kluwer Health in Medicine
- Vol. 96 (13) , e6469
Open AccessInfluence of cyclosporine and everolimus on the main mycophenolate mofetil pharmacokinetic parameters
The objective of the present study was to assess the effect of cyclosporine (CsA) on the pharmacokinetic parameters of mycophenolic acid (MPA), an active mycophenolate mofetil (MMF) metabolite, and to compare with the effect of everolimus (EVR). Anonymized medical records of 404 kidney recipients were reviewed. The main MPA pharmacokinetic parameters (AUC(0–12) and Cmax) were evaluated. The patients treated with a higher mean dose of CsA displayed higher MPA AUC(0–12) exposure in the low-dose MMF group (1000 mg/day) (40.50 ± 10.97 vs 28.08 ± 11.03 h mg/L; rs = 0.497, P < 0.05), medium-dose MMF group (2000 mg/day) (43.00 ± 6.27 vs 28.85 ± 11.08 h mg/L; rs = 0.437, P < 0.01), and high-dose MMF group (3000 mg/day) (56.75 ± 16.78 vs 36.20 ± 3.70 h mg/L; rs = 0.608, P < 0.05). A positive correlation was also observed between the mean CsA dose and the MPA Cmax in the low-dose MMF group (Cmax 22.83 ± 10.82 vs 12.08 ± 5.59 mg/L; rs = 0.507, P < 0.05) and in the medium-dose MMF group (22.77 ± 8.86 vs 13.00 ± 6.82 mg/L; rs = 0.414, P < 0.01). The comparative analysis between 2 treatment arms (MMF + CsA and MMF + EVR) showed that MPA AUC(0–12) exposure was by 43% higher in the patients treated with a medium dose of MMF and EVR than in the patients treated with a medium dose of MMF and CsA. The data of the present study suggest a possible CsA versus EVR influence on MMF pharmacokinetics. Study results show that CsA has an impact on the main MPA pharmacokinetic parameters (AUC(0–12) and Cmax) in a CsA dose-related manner, while EVR mildly influence or does not affect MPA pharmacokinetic parameters. Low-dose CsA (lower than 180 mg/day) reduces MPA AUC(0–12) exposure under the therapeutic window and may lead to ineffective therapy, while a high-dose CsA (>240 mg/day) is related to greater than 10 mg/L MPA Cmax and increases the likelihood of adverse events.
- Open Access
- 29 January 2017
- Published by International Scientific Information, Inc. in Medical Science Monitor
- Vol. 23, 521-527
General Toxicity and Antifungal Activity of a New Dental Gel with Essential Oil from Abies Sibirica L.
BACKGROUND:The aim of this study was to analyze the antifungal activity and the general toxicity of a new dental gel containing essential oil from the tree Abies sibirica L., which grows in the Republic of Kazakhstan. MATERIAL AND METHODS:The essenti...
- 29 January 2017
- Published by International Scientific Information, Inc. in Medical Science Monitor
- Vol. 23, 521-527
Open AccessGeneral Toxicity and Antifungal Activity of a New Dental Gel with Essential Oil from Abies Sibirica L.
BACKGROUND:The aim of this study was to analyze the antifungal activity and the general toxicity of a new dental gel containing essential oil from the tree Abies sibirica L., which grows in the Republic of Kazakhstan. MATERIAL AND METHODS:The essenti...
- Open Access
Cyclosporine therapeutic window evaluation by Chebyshev's inequality method in kidney recipients
The aim of this study was to identify a cyclosporine therapeutic range for kidney recipients. The cyclosporine exposure level was based on the calculation of the mean area under the concentration-time curve AUC(0-12). The AUC(0-12) was estimated using a Bayesian estimator and a 3-point limited sampling strategy. Cyclosporine exposure levels were obtained from 3 blood samples: 0, 1, and 3h postdose; and analyses were performed using a liquid chromatography-tandem mass spectrometry method. The therapeutic window of cyclosporine was calculated by the Chebyshev's inequality method with a 99% guarantee (α=0.01) using the IBM SPSS Statistics 20 software. It was found that the therapeutic window of cyclosporine estimated by the Chebyshev's inequality method and put on the AUC(0-12) exposure lies in the ranges from 2.84-3.13 mg h/L with the 99% confidence for the patients with the target AUC(0-12) exposure of 3.8 mg h/L (posttransplantation time >1 year). The therapeutic window of cyclosporine differs in different posttransplantation time groups: the estimated AUC exposure range in the group of patients who have a graft longer than 5 years is 2.70-2.98 mg h/L, and the estimated AUC exposure range in the group of patients who have a graft for 1-5 years is 3.05-3.75 mg h/L. Chebyshev's inequality could be an appropriate and more precise method to determine the therapeutic window for cyclosporine in kidney recipients than the target AUC(0-12) value and further studies should be conducted to evaluate patients with postoperative time <1 year.
Open AccessCyclosporine therapeutic window evaluation by Chebyshev's inequality method in kidney recipients
The aim of this study was to identify a cyclosporine therapeutic range for kidney recipients. The cyclosporine exposure level was based on the calculation of the mean area under the concentration-time curve AUC(0-12). The AUC(0-12) was estimated using a Bayesian estimator and a 3-point limited sampling strategy. Cyclosporine exposure levels were obtained from 3 blood samples: 0, 1, and 3h postdose; and analyses were performed using a liquid chromatography-tandem mass spectrometry method. The therapeutic window of cyclosporine was calculated by the Chebyshev's inequality method with a 99% guarantee (α=0.01) using the IBM SPSS Statistics 20 software. It was found that the therapeutic window of cyclosporine estimated by the Chebyshev's inequality method and put on the AUC(0-12) exposure lies in the ranges from 2.84-3.13 mg h/L with the 99% confidence for the patients with the target AUC(0-12) exposure of 3.8 mg h/L (posttransplantation time >1 year). The therapeutic window of cyclosporine differs in different posttransplantation time groups: the estimated AUC exposure range in the group of patients who have a graft longer than 5 years is 2.70-2.98 mg h/L, and the estimated AUC exposure range in the group of patients who have a graft for 1-5 years is 3.05-3.75 mg h/L. Chebyshev's inequality could be an appropriate and more precise method to determine the therapeutic window for cyclosporine in kidney recipients than the target AUC(0-12) value and further studies should be conducted to evaluate patients with postoperative time <1 year.