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Lee D, Polkinghorne KR, Pilmore H, Mulley WR. Mycophenolate Dose Reduction in Tacrolimus-based Regimens and Long-term Kidney Transplant Outcomes in Australia and New Zealand. Transplant Direct 2024; 10:e1659. [PMID: 38881745 PMCID: PMC11177819 DOI: 10.1097/txd.0000000000001659] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2024] [Revised: 04/03/2024] [Accepted: 04/03/2024] [Indexed: 06/18/2024] Open
Abstract
Background Mycophenolate dose reduction (MDR) is associated with acute rejection and transplant failure in kidney transplant recipients (KTRs). The optimal dose to prevent rejection and reduce complications remains poorly defined in tacrolimus-based regimens. Methods We assessed adult KTRs from 2005 to 2017 initiated on mycophenolate mofetil 2 g/d, tacrolimus, and prednisolone from the Australia and New Zealand Dialysis and Transplant Registry. KTRs with rejection within the first 30 d posttransplant were excluded. The primary outcome was time to first rejection between 30 d and 2 y posttransplant. Mycophenolate dose was modeled as a time-varying covariate using Cox proportional hazards regression. Secondary outcomes included assessment of early MDR to <1.5 g/d within the first 6 mo posttransplant and subsequent patient and death-censored graft survival. Results In the primary analysis, 3590 KTRs were included. Compared with mycophenolate dose of ≥2 g/d, both 1.0-<1.5 and <1 g/d were associated with an increased risk of rejection during the 2 y posttransplant (hazard ratio [HR] 1.67; 95% confidence interval [CI], 1.29-2.16; P < 0.001 and HR 2.06; 95% CI, 1.36-3.13; P = 0.001, respectively) but not 1.5-<2 g/d (HR 1.20; 95% CI, 0.94-1.53; P = 0.14). Early MDR to <1.5 g/d occurred in 45.3% of KTRs and was an independent risk factor for death-censored graft failure (HR 1.32; 95% CI, 1.05-1.66; P = 0.016) but not death (HR 1.18; 95% CI, 0.97-1.44; P = 0.10), during a median follow-up of 5.0 (interquartile range, 2.6-8.5) y. Conclusions Early MDR was a risk factor for subsequent rejection and graft failure in KTRs receiving contemporary tacrolimus-based regimens.
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Affiliation(s)
- Darren Lee
- Department of Renal Medicine, Eastern Health Clinic School, Monash University, Box Hill, VIC, Australia
- Department of Nephrology, Austin Health, Heidelberg, VIC, Australia
| | - Kevan R Polkinghorne
- Department of Nephrology, Monash Health, Clayton, VIC, Australia
- Department of Medicine, Monash University, Clayton, VIC, Australia
- Department Epidemiology and Preventative Medicine, Monash University, Clayton, VIC, Australia
- Department of Medicine, Centre for Inflammatory Diseases, Monash University, Clayton, VIC, Australia
| | - Helen Pilmore
- Department of Renal Medicine, Auckland City Hospital, Auckland, New Zealand
| | - William R Mulley
- Department of Nephrology, Monash Health, Clayton, VIC, Australia
- Department of Medicine, Centre for Inflammatory Diseases, Monash University, Clayton, VIC, Australia
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Chong KM, Jiang H, Lo EAG, Hong WZ, Wong ETY, Chan GC, Cho J. Therapeutic Drug Monitoring in Patients with Systemic Lupus Erythematosus: Utility and Gaps. J Clin Med 2024; 13:451. [PMID: 38256585 PMCID: PMC10816431 DOI: 10.3390/jcm13020451] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2023] [Revised: 01/09/2024] [Accepted: 01/12/2024] [Indexed: 01/24/2024] Open
Abstract
Despite advances in the treatment of patients with systemic lupus erythematous (SLE), outcomes have remained suboptimal. Persistent disease activity, patient comorbidities and drug toxicities contribute to the accrual of progressive irreversible damage and high rates of morbidity and mortality. Currently, similar drug doses and regimens are promulgated in the treatment guidelines for all SLE patients, despite the vast differences in patient and environmental factors that affect the drugs' metabolism and blood concentrations. This causes a disconnect between drug dosing and drug blood concentrations, which can then result in unpredictability in drug toxicities and therapeutic effects. In this review, we discuss commonly used oral immunosuppressive medications in SLE, their pharmacogenomics, and factors affecting their metabolism and blood concentrations. Further, we highlight the role of therapeutic drug monitoring in SLE, which is the first accessible step to individualising therapy.
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Affiliation(s)
- Kar Mun Chong
- Division of Rheumatology, Department of Medicine, National University Hospital, Singapore 119074, Singapore;
| | - He Jiang
- Department of Pharmacy, National University Hospital, Singapore 119074, Singapore; (H.J.); (E.A.G.L.)
| | - Elaine Ah Gi Lo
- Department of Pharmacy, National University Hospital, Singapore 119074, Singapore; (H.J.); (E.A.G.L.)
| | - Wei-Zhen Hong
- Division of Nephrology, Department of Medicine, National University Hospital, Singapore 119074, Singapore; (W.-Z.H.); (E.T.-Y.W.); (G.C.C.)
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117597, Singapore
| | - Emmett Tsz-Yeung Wong
- Division of Nephrology, Department of Medicine, National University Hospital, Singapore 119074, Singapore; (W.-Z.H.); (E.T.-Y.W.); (G.C.C.)
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117597, Singapore
- National University Centre for Organ Transplantation, National University Hospital, Singapore 119074, Singapore
| | - Gek Cher Chan
- Division of Nephrology, Department of Medicine, National University Hospital, Singapore 119074, Singapore; (W.-Z.H.); (E.T.-Y.W.); (G.C.C.)
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117597, Singapore
| | - Jiacai Cho
- Division of Rheumatology, Department of Medicine, National University Hospital, Singapore 119074, Singapore;
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117597, Singapore
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3
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Mejia-Vilet JM, Turner-Stokes T, Houssiau F, Rovin BH. Kidney involvement in systemic lupus erythematosus: From the patient assessment to a tailored treatment. Best Pract Res Clin Rheumatol 2023; 37:101925. [PMID: 38151362 DOI: 10.1016/j.berh.2023.101925] [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: 05/03/2023] [Accepted: 12/10/2023] [Indexed: 12/29/2023]
Abstract
In the last few years, several studies have provided new evidence for the diagnosis, management, and follow-up of patients with lupus nephritis. Evidence showing dissociation between clinical and histological findings has prompted reevaluation of the role of the kidney biopsy as a tool for diagnosis and follow-up. In therapeutics, four immunosuppressive schemes now have supporting evidence for use as initial therapy. Current challenges include individualized selection of the best immunosuppressive regimen, an unmet need for non-invasive biomarkers of disease activity to inform treatment responses and guide subsequent therapy, holistic patient management in this complex, multisystem disease, and ultimately the development of more targeted therapies directed at specific effector pathways driving glomerular inflammation and damage in order to improve treatment response. In this communication, we review the diagnostic and therapeutic approach to lupus nephritis, as well as evaluation of response to therapy and disease control.
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Affiliation(s)
- Juan M Mejia-Vilet
- Department of Nephrology and Mineral Metabolism, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico
| | - Tabitha Turner-Stokes
- Centre for Inflammatory Disease, Department of Immunology and Inflammation, Imperial College London, Hammersmith Campus, London, United Kingdom
| | - Frederic Houssiau
- Pôle de Pathologies Rhumatismales Inflammatoires et Systémiques, Institut de Recherche Expérimentale et Clinique, Université Catholique de Louvain and Service de Rhumatologie, Cliniques Universitaires Saint-Luc, Brussels, Belgium
| | - Brad H Rovin
- Division of Nephrology, The Ohio State University, Columbus, OH, United States.
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Noel JC, Lagassé D, Golding B, Sauna ZE. Emerging approaches to induce immune tolerance to therapeutic proteins. Trends Pharmacol Sci 2023; 44:1028-1042. [PMID: 37903706 DOI: 10.1016/j.tips.2023.10.002] [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: 09/25/2023] [Revised: 10/04/2023] [Accepted: 10/08/2023] [Indexed: 11/01/2023]
Abstract
Immunogenicity affects the safety and efficacy of therapeutic proteins. This review is focused on approaches for inducing immunological tolerance to circumvent the immunogenicity of therapeutic proteins in the clinic. The few immune tolerance strategies that are used in the clinic tend to be inefficient and expensive and typically involve global immunosuppression, putting patients at risk of infections. The hallmark of a desirable immune tolerance regimen is the specific alleviation of immune responses to the therapeutic protein. In the past decade, proof-of-principle studies have demonstrated that emerging technologies, including nanoparticle-based delivery of immunomodulators, cellular targeting and depletion, cellular engineering, gene therapy, and gene editing, can be leveraged to promote tolerance to therapeutic proteins. We discuss the potential of these novel approaches and the barriers that need to be overcome for translation into the clinic.
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Affiliation(s)
- Justine C Noel
- Division of Hemostasis, Office of Plasma Protein Therapeutics, Center for Biologics Evaluation and Research, US Food and Drug Administration, Silver Spring, MD, USA
| | - Daniel Lagassé
- Division of Hemostasis, Office of Plasma Protein Therapeutics, Center for Biologics Evaluation and Research, US Food and Drug Administration, Silver Spring, MD, USA
| | - Basil Golding
- Division of Plasma Derivatives, Office of Plasma Protein Therapeutics, Center for Biologics Evaluation and Research, US Food and Drug Administration, Silver Spring, MD, USA
| | - Zuben E Sauna
- Division of Hemostasis, Office of Plasma Protein Therapeutics, Center for Biologics Evaluation and Research, US Food and Drug Administration, Silver Spring, MD, USA.
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Pattanaik S, Gota V, Tripathi SK, Kshirsagar NA. Therapeutic drug monitoring in India: A strength, weakness, opportunity and threats analysis. Br J Clin Pharmacol 2023; 89:3247-3261. [PMID: 37259249 DOI: 10.1111/bcp.15808] [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: 12/10/2022] [Revised: 04/25/2023] [Accepted: 05/09/2023] [Indexed: 06/02/2023] Open
Abstract
Over the last three to four decades, Therapeutic Drug Monitoring (TDM) has shaped itself as therapeutic drug management, an integral component of precision medicine. The practice of TDM is not extensive in India, despite being one of the fastest-growing economies in the world. It is currently limited to a few academic medical centres and teaching hospitals. Apart from the immunosuppressive drugs, several other therapeutic areas, such as anticancer, antifungal, antibiotic and antitubercular, have demonstrated great potential to improve patient outcomes in Indian settings. Factors such as the higher prevalence of nutritional deficiencies, tropical diseases, widespread use of alternative medicines, unalike pharmacogenomics and sparse population-specific data available on therapeutic ranges of several drugs make the population of this subcontinent unique regarding the relevance of TDM. Despite the impact of TDM in clinical science and its widespread application, TDM has failed to receive the attention it deserves in India. This review intends to bring out a strength, weakness, opportunity and threats (SWOT) analysis for TDM in India so that appropriate steps for fostering the growth of TDM could be envisioned. The need of the hour is the creation of a cooperative group including all the stakeholders, such as TDM professionals, clinicians and the government and devising a National Action Plan to strengthen TDM. Nodal TDM centres should be established, and pilot programmes should be rolled out to identify the thrust areas for TDM in the country, capacity building and creating awareness to integrate TDM into mainstream clinical medicine.
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Affiliation(s)
- Smita Pattanaik
- Clinical Pharmacology, Post Graduate Institute of Medical Education and Research, Chandigarh, India
| | - Vikram Gota
- Advanced Centre for Treatment Education and Research in Cancer, Tata Memorial Centre, Kharghar Navi Mumbai, India
- Homi Bhabha National Institute, Mumbai, India
| | | | - Nilima A Kshirsagar
- Clinical Pharmacology, Indian Council of Medical Research, New Delhi, India
- Seth Gordhandas Sunderdas, Medical College and King Edward Memorial Hospital, Mumbai, India
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Mizaki T, Nobata H, Banno S, Yamaguchi M, Kinashi H, Iwagaitsu S, Ishimoto T, Kuru Y, Ohnishi M, Sako KI, Ito Y. Population pharmacokinetics and limited sampling strategy for therapeutic drug monitoring of mycophenolate mofetil in Japanese patients with lupus nephritis. J Pharm Health Care Sci 2023; 9:1. [PMID: 36624529 PMCID: PMC9830922 DOI: 10.1186/s40780-022-00271-w] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2022] [Accepted: 12/25/2022] [Indexed: 01/11/2023] Open
Abstract
BACKGROUND Mycophenolate mofetil (MMF), a prodrug of the immunosuppressive agent mycophenolic acid (MPA), is difficult to administer because of the pharmacokinetic complexity of MPA. Although dosage adjustment according to the 12-h area under the concentration-time curve (AUC0-12) is thought to be desirable, multiple blood samplings for AUC calculation may pose a clinical challenge. A limited sampling strategy (LSS) would provide a solution; however, little is known about MPA pharmacokinetics in lupus nephritis patients, especially in those with Asian backgrounds, or few, if any, LSSs are reported for them. METHODS Thirty-four adult Japanese patients receiving MMF for lupus nephritis were examined retrospectively. MPA pharmacokinetics were investigated, and a PPK model was developed using Phoenix® NLME™ software. Single and double blood sampling strategies from Bayesian estimation using the PPK model and from multiple linear regression were compared. Tolerability was also evaluated. RESULTS In the pharmacokinetic analysis, renal function and serum albumin had significant effects on dose-normalized AUC0-12; and serum albumin, concomitant proton pump inhibitor (PPI) and iron/magnesium oxide did on dose-normalized maximum concentration. As a PPK model, a two-compartment model was developed with a transit absorption model and first-order elimination, in which creatinine clearance and serum albumin were covariates for MPA clearance. The double sampling strategy at 1 and 4 h by multiple linear regression showed the best agreement with the observed AUC0-12 (r2 = 0.885). Of the single sampling strategies, the one at 6 h by Bayesian estimation performed best (r2 = 0.769). The tolerability evaluation showed that correlations were suggested for gastrointestinal involvement. CONCLUSIONS The present study developed the first PPK model of MPA for Japanese lupus nephritis patients. As for LSSs, a double sampling strategy at 1 and 4 h by multiple linear regression would work best; when only a single blood sampling is allowed, a strategy at 6 h by Bayesian estimation using the PPK model developed in this study would be best. The LSSs good enough for clinical use may facilitate safer, more effective, and individualized therapy.
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Affiliation(s)
- Tomoko Mizaki
- grid.411234.10000 0001 0727 1557Department of Pharmacy, Aichi Medical University Medical Center, 17-33 Nikkicho, Okazaki, Aichi 444-2148 Japan ,grid.411234.10000 0001 0727 1557Department of Nephrology and Rheumatology, Aichi Medical University, 1-1 Yazakokarimata, Nagakute, Aichi 480-1195 Japan
| | - Hironobu Nobata
- grid.411234.10000 0001 0727 1557Department of Nephrology and Rheumatology, Aichi Medical University, 1-1 Yazakokarimata, Nagakute, Aichi 480-1195 Japan
| | - Shogo Banno
- grid.411234.10000 0001 0727 1557Department of Nephrology and Rheumatology, Aichi Medical University, 1-1 Yazakokarimata, Nagakute, Aichi 480-1195 Japan
| | - Makoto Yamaguchi
- grid.411234.10000 0001 0727 1557Department of Nephrology and Rheumatology, Aichi Medical University, 1-1 Yazakokarimata, Nagakute, Aichi 480-1195 Japan
| | - Hiroshi Kinashi
- grid.411234.10000 0001 0727 1557Department of Nephrology and Rheumatology, Aichi Medical University, 1-1 Yazakokarimata, Nagakute, Aichi 480-1195 Japan
| | - Shiho Iwagaitsu
- grid.411234.10000 0001 0727 1557Department of Nephrology and Rheumatology, Aichi Medical University, 1-1 Yazakokarimata, Nagakute, Aichi 480-1195 Japan
| | - Takuji Ishimoto
- grid.411234.10000 0001 0727 1557Department of Nephrology and Rheumatology, Aichi Medical University, 1-1 Yazakokarimata, Nagakute, Aichi 480-1195 Japan
| | - Yukiko Kuru
- grid.411234.10000 0001 0727 1557Medical Education Center, Aichi Medical University, 1-1 Yazakokarimata, Nagakute, Aichi 480-1195 Japan
| | - Masafumi Ohnishi
- grid.411234.10000 0001 0727 1557Department of Pharmacy, Aichi Medical University Medical Center, 17-33 Nikkicho, Okazaki, Aichi 444-2148 Japan ,grid.411234.10000 0001 0727 1557Department of Pharmacy, Aichi Medical University, 1-1 Yazakokarimata, Nagakute, Aichi 480-1195 Japan
| | - Ken-ichi Sako
- grid.444657.00000 0004 0606 9754Department of Clinical Pharmacy, Nihon Pharmaceutical University, 10281 Komuro, Kitaadachigun Inamachi, Saitama, 362-0806 Japan
| | - Yasuhiko Ito
- grid.411234.10000 0001 0727 1557Department of Nephrology and Rheumatology, Aichi Medical University, 1-1 Yazakokarimata, Nagakute, Aichi 480-1195 Japan
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Rong Y, Patel V, Kiang TKL. Recent lessons learned from population pharmacokinetic studies of mycophenolic acid: physiological, genomic, and drug interactions leading to the prediction of drug effects. Expert Opin Drug Metab Toxicol 2022; 17:1369-1406. [PMID: 35000505 DOI: 10.1080/17425255.2021.2027906] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
INTRODUCTION Mycophenolic acid (MPA) is a widely used immunosuppressant in transplantation and autoimmune disease. Highly variable pharmacokinetics have been observed with MPA, but the exact mechanisms remain largely unknown. AREAS COVERED The current review provided a critical, comprehensive update of recently published population pharmacokinetic/dynamic models of MPA (n=16 papers identified from PubMed and Embase, inclusive from January 2017 to August 2021), with specific emphases on the intrinsic and extrinsic factors influencing the pharmacology of MPA. The significance of the identified covariates, potential mechanisms, and comparisons to historical literature have been provided. EXPERT OPINION While select covariates affecting the population pharmacokinetics of MPA are consistently observed and mechanistically supported, some variables have not been regularly reported and/or lacked mechanistic explanation. Very few pharmacodynamic models were available, pointing to the need to extrapolate pharmacokinetic findings. Ideal models of MPA should consist of: i) utilizing optimal sampling points to allow the characterizations of absorption, re-absorption, and elimination phases; ii) characterizing unbound/total MPA, MPA metabolites, plasma/urinary concentrations, and genetic polymorphisms to facilitate mechanistic interpretations; and iii) incorporating actual outcomes and pharmacodynamic data to establish clinical relevance. We anticipate the field will continue to expand in the next 5 to 10 years.
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Affiliation(s)
- Yan Rong
- Faculty of Pharmacy and Pharmaceutical Sciences, University of Alberta, Edmonton, Alberta, Canada
| | - Vrunda Patel
- Faculty of Pharmacy and Pharmaceutical Sciences, University of Alberta, Edmonton, Alberta, Canada
| | - Tony K L Kiang
- Faculty of Pharmacy and Pharmaceutical Sciences, University of Alberta, Edmonton, Alberta, Canada
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Olafuyi O, Parekh N, Wright J, Koenig J. Inter-ethnic differences in pharmacokinetics-is there more that unites than divides? Pharmacol Res Perspect 2021; 9:e00890. [PMID: 34725944 PMCID: PMC8561230 DOI: 10.1002/prp2.890] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2021] [Accepted: 10/19/2021] [Indexed: 12/31/2022] Open
Abstract
Inter-ethnic variability in pharmacokinetics (PK) has been attributed to several factors ranging from genetic to environmental. It is not clear how current teaching in higher education (HE) reflects what published literature suggests on this subject. This study aims to gain insights into current knowledge about inter-ethnic differences in PK based on reports from published literature and current teaching practices in HE. A systematic literature search was conducted on PubMed and Scopus to identify suitable literature to be reviewed. Insights into inter-ethnic differences in PK teaching among educators in HE and industry were determined using a questionnaire. Thirty-one percent of the studies reviewed reported inter-ethnic differences in PK, of these, 37% of authors suggested genetic polymorphism as possible explanation for the inter-ethnic differences observed. Other factors authors proposed included diet and weight differences between ethnicities. Most respondents (80%) who taught inter-ethnic difference in PK attributed inter-ethnic differences to genetic polymorphism. While genetic polymorphism is one source of variability in PK, the teaching of genetic polymorphism is better associated with interindividual variabilities rather than inter-ethnic differences in PK as there are no genes with PK implications specific to any one ethnic group. Nongenetic factors such as diet, weight, and environmental factors, should be highlighted as potential sources of interindividual variation in the PK of drugs.
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Affiliation(s)
- Olusola Olafuyi
- Division of Physiology, Pharmacology and NeurosciencesSchool of Life SciencesUniversity of NottinghamNottinghamUK
| | - Nikita Parekh
- Department of Pharmacology and TherapeuticsKing’s College LondonLondonUK
| | - Jacob Wright
- Centre for Bioscience EducationKing’s College LondonLondonUK
| | - Jennifer Koenig
- Division of Medical Sciences & Graduate Entry MedicineSchool of MedicineUniversity of NottinghamNottinghamUK
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Fava A, Rao DA. Cellular and molecular heterogeneity in systemic lupus erythematosus. Semin Immunol 2021; 58:101653. [PMID: 36184357 DOI: 10.1016/j.smim.2022.101653] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/24/2021] [Revised: 11/15/2021] [Accepted: 11/15/2021] [Indexed: 12/14/2022]
Affiliation(s)
- Andrea Fava
- Division of Rheumatology, Johns Hopkins University, Baltimore, MD, USA.
| | - Deepak A Rao
- Division of Rheumatology, Inflammation, Immunity, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
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Wang X, Wu Y, Huang J, Shan S, Mai M, Zhu J, Yang M, Shang D, Wu Z, Lan J, Zhong S, Wu M. Estimation of Mycophenolic Acid Exposure in Heart Transplant Recipients by Population Pharmacokinetic and Limited Sampling Strategies. Front Pharmacol 2021; 12:748609. [PMID: 34867352 PMCID: PMC8640522 DOI: 10.3389/fphar.2021.748609] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2021] [Accepted: 10/14/2021] [Indexed: 11/13/2022] Open
Abstract
Purpose: The aim of this study is i) to establish a strategy to estimate the area under the curve of the dosing interval (AUC0-12h) of mycophenolic acid (MPA) in the heart transplant recipients and ii) to find the covariates that significantly affect the pharmacokinetics of MPA exposure. Methods: This single-center, prospective, open-label, observational study was conducted in 91 adult heart transplant recipients orally taking mycophenolate mofetil dispersible tablets. Samples collected intensively and sparsely were analyzed by the enzyme-multiplied immunoassay technique, and all the data were used in PPK modeling. Potential covariates were tested stepwise. The goodness-of-fit plots, the normalized prediction distribution error, and prediction-corrected visual predictive check were used for model evaluation. Optimal sampling times by ED-optimal strategy and multilinear regression (MLR) were analyzed based on the simulated data by the final PPK model. Moreover, using intensive data from 14 patients, the accuracy of AUC0-12h estimation was evaluated by Passing-Bablok regression analysis and Bland-Alman plots for both the PPK model and MLR equation. Results: A two-compartment model with first-order absorption and elimination with a lag time was chosen as the structure model. Co-medication of proton pump inhibitors (PPIs), estimated glomerular filtration rate (eGFR), and albumin (ALB) were found to significantly affect bioavailability (F), clearance of central compartment (CL/F), and the distribution volume of the central compartment (V2/F), respectively. Co-medication of PPIs decreased F by 27.6%. When eGFR decreased by 30 ml/min/1.73 m2, CL/F decreased by 23.7%. However, the impact of ALB on V2/F was limited to MPA exposure. The final model showed an adequate fitness of the data. The optimal sampling design was pre-dose and 1 and 4 h post-dose for pharmacokinetic estimation. The best-fit linear equation was finally established as follows: AUC0-12h = 3.539 × C0 + 0.288 × C0.5 + 1.349 × C1 + 6.773 × C4.5. Conclusion: A PPK model was established with three covariates in heart transplant patients. Co-medication of PPIs and eGFR had a remarkable impact on AUC0-12h of MPA. A linear equation was also concluded with four time points as an alternative way to estimate AUC0-12h for MPA.
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Affiliation(s)
- Xipei Wang
- Research Center of Medical Sciences, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
- Guangdong Provincial Key Laboratory of Clinical Pharmacology, Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Yijin Wu
- Department of Cardiac Surgery, Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Jinsong Huang
- Department of Cardiac Surgery, Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Songgui Shan
- Department of Pharmacy, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Mingjie Mai
- Department of Cardiac Surgery, Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Jiade Zhu
- Department of Cardiac Surgery, Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Min Yang
- Guangdong Provincial Key Laboratory of Clinical Pharmacology, Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Dewei Shang
- Department of Pharmacy, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Zheng Wu
- School of Biology and Biological Engineering, South China University of Technology, Guangzhou, China
| | - Jinhua Lan
- School of Biology and Biological Engineering, South China University of Technology, Guangzhou, China
| | - Shilong Zhong
- Department of Pharmacy, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
- Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Cardiovascular Institute, Guangzhou, China
| | - Min Wu
- Department of Cardiac Surgery, Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
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Job KM, Roberts JK, Enioutina EY, IIIamola SM, Kumar SS, Rashid J, Ward RM, Fukuda T, Sherbotie J, Sherwin CM. Treatment optimization of maintenance immunosuppressive agents in pediatric renal transplant recipients. Expert Opin Drug Metab Toxicol 2021; 17:747-765. [PMID: 34121566 PMCID: PMC10726690 DOI: 10.1080/17425255.2021.1943356] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2020] [Accepted: 06/11/2021] [Indexed: 10/21/2022]
Abstract
Introduction: Graft survival in pediatric kidney transplant patients has increased significantly within the last three decades, correlating with the discovery and utilization of new immunosuppressants as well as improvements in patient care. Despite these developments in graft survival for patients, there is still improvement needed, particularly in long-term care in pediatric patients receiving grafts from deceased donor patients. Maintenance immunosuppressive therapies have narrow therapeutic indices and are associated with high inter-individual and intra-individual variability.Areas covered: In this review, we examine the impact of pharmacokinetic variability on renal transplantation and its association with age, genetic polymorphisms, drug-drug interactions, drug-disease interactions, renal insufficiency, route of administration, and branded versus generic drug formulation. Pharmacodynamics are outlined in terms of the mechanism of action for each immunosuppressant, potential adverse effects, and the utility of pharmacodynamic biomarkers.Expert opinion: Acquiring abetter quantitative understanding of immunosuppressant pharmacokinetics and pharmacodynamic components should help clinicians implement treatment regimens to maintain the balance between therapeutic efficacy and drug-related toxicity.
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Affiliation(s)
- Kathleen M Job
- Division of Clinical Pharmacology, Department of Pediatrics, University of Utah, Salt Lake City, UT, USA
| | - Jessica K Roberts
- Division of Clinical Pharmacology, Department of Pediatrics, University of Utah, Salt Lake City, UT, USA
| | - Elena Y Enioutina
- Division of Clinical Pharmacology, Department of Pediatrics, University of Utah, Salt Lake City, UT, USA
| | - Sílvia M IIIamola
- Department of Experimental and Clinical Pharmacology, College of Pharmacy, University of Minnesota, Minneapolis, MN, USA
| | - Shaun S Kumar
- Division of Clinical Pharmacology, Department of Pediatrics, University of Utah, Salt Lake City, UT, USA
| | - Jahidur Rashid
- Division of Clinical Pharmacology, Department of Pediatrics, University of Utah, Salt Lake City, UT, USA
| | - Robert M Ward
- Division of Clinical Pharmacology, Department of Pediatrics, University of Utah, Salt Lake City, UT, USA
- Department of Pediatrics, School of Medicine, University of Utah, Salt Lake City, UT, USA
| | - Tsuyoshi Fukuda
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Joseph Sherbotie
- Department of Pediatrics, School of Medicine, University of Utah, Salt Lake City, UT, USA
| | - Catherine M Sherwin
- Department of Experimental and Clinical Pharmacology, College of Pharmacy, University of Minnesota, Minneapolis, MN, USA
- Department of Pediatrics, Boonshoft School of Medicine, Dayton Children’s Hospital, Wright State University, Dayton, OH, USA
- Department of Pharmacotherapy, College of Pharmacy, University of Utah, Salt Lake City, UT, USA
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12
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Shu Q, Fan Q, Hua B, Liu H, Wang S, Liu Y, Yao Y, Xie H, Ge W. Influence of SLCO1B1 521T>C, UGT2B7 802C>T and IMPDH1 -106G>A Genetic Polymorphisms on Mycophenolic Acid Levels and Adverse Reactions in Chinese Autoimmune Disease Patients. PHARMACOGENOMICS & PERSONALIZED MEDICINE 2021; 14:713-722. [PMID: 34188518 PMCID: PMC8233479 DOI: 10.2147/pgpm.s295964] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/05/2021] [Accepted: 05/20/2021] [Indexed: 12/31/2022]
Abstract
Introduction Mycophenolate mofetil (MMF), a new type of immunosuppressant, has emerged as a frontline agent for treating autoimmune diseases. Mycophenolic acid (MPA) is an active metabolite of MMF. MPA exposure varies greatly among individuals, which may lead to adverse drug reactions such as gastrointestinal side effects, infection, and leukopenia. Genetic factors play an important role in the variation of MPA levels and its side effects. Although many published studies have focused on MMF use in patients after organ transplant, studies that examine the use of MMF in patients with autoimmune diseases are still lacking. Methods This study will not only explore the genetic factors affecting MPA levels and adverse reactions but also investigate the relationships between UGT1A9 −118(dT)9/10, UGT1A9 - 1818T>C, UGT2B7 802C>T, SLCO1B1 521T>C, SLCO1B3 334T>G, IMPDH1 −106G>A and MPA trough concentration (MPA C0), along with adverse reactions among Chinese patients with autoimmune diseases. A total of 120 patients with autoimmune diseases were recruited. The MPA trough concentration was detected using the enzyme multiplied immunoassay technique (EMIT). Genotyping was performed using a real-time polymerase chain reaction (PCR) system and validated allelic discrimination assays. Clinical data were collected for the determination of side effects. Results SLCO1B1 521T>C demonstrated a significant association with MPA C0/d (p=0.003), in which patients with the CC type showed a higher MPA C0/d than patients with the TT type (p=0.001) or the CT type (p=0.000). No significant differences were found in MPA C0/d among the other SNPs. IMPDH1 −106G>A was found to be significantly related to infections (p=0.006). Subgroup analysis revealed that UGT2B7 802C>T was significantly related to Pneumocystis carinii pneumonia infection (p=0.036), while SLCO1B1 521T>C was associated with anemia (p=0.029). Conclusion For Chinese autoimmune disease patients, SLCO1B1 521T>C was correlated with MPA C0/d and anemia. IMPDH1 −106G>A was significantly related to infections. UGT2B7 802C>T was significantly related to Pneumocystis carinii pneumonia infection.
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Affiliation(s)
- Qing Shu
- Department of Pharmacy, Nanjing Drum Tower Hospital, Nanjing, 210008, People's Republic of China
| | - Qingqing Fan
- Department of Pharmacy, Nanjing Drum Tower Hospital, Nanjing, 210008, People's Republic of China
| | - Bingzhu Hua
- Department of Rheumatology and Immunology, Nanjing Drum Tower Hospital, Nanjing, 210008, People's Republic of China
| | - Hang Liu
- Department of Pharmacy, Nanjing Drum Tower Hospital, Nanjing, 210008, People's Republic of China
| | - Shiying Wang
- Department of Rheumatology and Immunology, Nanjing Drum Tower Hospital, Nanjing, 210008, People's Republic of China
| | - Yunxing Liu
- Department of Pharmacy, Nanjing Drum Tower Hospital, Nanjing, 210008, People's Republic of China
| | - Yao Yao
- Department of Pharmacy, Nanjing Drum Tower Hospital, Nanjing, 210008, People's Republic of China
| | - Han Xie
- Department of Pharmacy, Nanjing Drum Tower Hospital, Nanjing, 210008, People's Republic of China
| | - Weihong Ge
- Department of Pharmacy, Nanjing Drum Tower Hospital, Nanjing, 210008, People's Republic of China
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13
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Therapeutic drug monitoring of immunosuppressive drugs in hepatology and gastroenterology. Best Pract Res Clin Gastroenterol 2021; 54-55:101756. [PMID: 34874840 DOI: 10.1016/j.bpg.2021.101756] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/03/2021] [Accepted: 06/11/2021] [Indexed: 01/31/2023]
Abstract
Immunosuppressive drugs have been key to the success of liver transplantation and are essential components of the treatment of inflammatory bowel disease (IBD) and autoimmune hepatitis (AIH). For many but not all immunosuppressants, therapeutic drug monitoring (TDM) is recommended to guide therapy. In this article, the rationale and evidence for TDM of tacrolimus, mycophenolic acid, the mammalian target of rapamycin inhibitors, and azathioprine in liver transplantation, IBD, and AIH is reviewed. New developments, including algorithm-based/computer-assisted immunosuppressant dosing, measurement of immunosuppressants in alternative matrices for whole blood, and pharmacodynamic monitoring of these agents is discussed. It is expected that these novel techniques will be incorporate into the standard TDM in the next few years.
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14
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Bergan S, Brunet M, Hesselink DA, Johnson-Davis KL, Kunicki PK, Lemaitre F, Marquet P, Molinaro M, Noceti O, Pattanaik S, Pawinski T, Seger C, Shipkova M, Swen JJ, van Gelder T, Venkataramanan R, Wieland E, Woillard JB, Zwart TC, Barten MJ, Budde K, Dieterlen MT, Elens L, Haufroid V, Masuda S, Millan O, Mizuno T, Moes DJAR, Oellerich M, Picard N, Salzmann L, Tönshoff B, van Schaik RHN, Vethe NT, Vinks AA, Wallemacq P, Åsberg A, Langman LJ. Personalized Therapy for Mycophenolate: Consensus Report by the International Association of Therapeutic Drug Monitoring and Clinical Toxicology. Ther Drug Monit 2021; 43:150-200. [PMID: 33711005 DOI: 10.1097/ftd.0000000000000871] [Citation(s) in RCA: 76] [Impact Index Per Article: 25.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2020] [Accepted: 01/29/2021] [Indexed: 12/13/2022]
Abstract
ABSTRACT When mycophenolic acid (MPA) was originally marketed for immunosuppressive therapy, fixed doses were recommended by the manufacturer. Awareness of the potential for a more personalized dosing has led to development of methods to estimate MPA area under the curve based on the measurement of drug concentrations in only a few samples. This approach is feasible in the clinical routine and has proven successful in terms of correlation with outcome. However, the search for superior correlates has continued, and numerous studies in search of biomarkers that could better predict the perfect dosage for the individual patient have been published. As it was considered timely for an updated and comprehensive presentation of consensus on the status for personalized treatment with MPA, this report was prepared following an initiative from members of the International Association of Therapeutic Drug Monitoring and Clinical Toxicology (IATDMCT). Topics included are the criteria for analytics, methods to estimate exposure including pharmacometrics, the potential influence of pharmacogenetics, development of biomarkers, and the practical aspects of implementation of target concentration intervention. For selected topics with sufficient evidence, such as the application of limited sampling strategies for MPA area under the curve, graded recommendations on target ranges are presented. To provide a comprehensive review, this report also includes updates on the status of potential biomarkers including those which may be promising but with a low level of evidence. In view of the fact that there are very few new immunosuppressive drugs under development for the transplant field, it is likely that MPA will continue to be prescribed on a large scale in the upcoming years. Discontinuation of therapy due to adverse effects is relatively common, increasing the risk for late rejections, which may contribute to graft loss. Therefore, the continued search for innovative methods to better personalize MPA dosage is warranted.
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Affiliation(s)
- Stein Bergan
- Department of Pharmacology, Oslo University Hospital and Department of Pharmacy, University of Oslo, Oslo, Norway
| | - Mercè Brunet
- Pharmacology and Toxicology Laboratory, Biochemistry and Molecular Genetics Department, Biomedical Diagnostic Center, Hospital Clinic of Barcelona, University of Barcelona, IDIBAPS, CIBERehd, Spain
| | - Dennis A Hesselink
- Department of Internal Medicine, Division of Nephrology and Transplantation, Erasmus MC, University Medical Center Rotterdam, The Netherlands
| | - Kamisha L Johnson-Davis
- Department of Pathology, University of Utah Health Sciences Center and ARUP Laboratories, Salt Lake City, Utah
| | - Paweł K Kunicki
- Department of Drug Chemistry, Faculty of Pharmacy, Medical University of Warsaw, Warszawa, Poland
| | - Florian Lemaitre
- Univ Rennes, CHU Rennes, Inserm, EHESP, Irset (Institut de recherche en santé, environnement et travail)-UMR_S 1085, Rennes, France
| | - Pierre Marquet
- INSERM, Université de Limoges, Department of Pharmacology and Toxicology, CHU de Limoges, U1248 IPPRITT, Limoges, France
| | - Mariadelfina Molinaro
- Clinical and Experimental Pharmacokinetics Lab, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy
| | - Ofelia Noceti
- National Center for Liver Tansplantation and Liver Diseases, Army Forces Hospital, Montevideo, Uruguay
| | | | - Tomasz Pawinski
- Department of Drug Chemistry, Faculty of Pharmacy, Medical University of Warsaw, Warszawa, Poland
| | | | - Maria Shipkova
- Synlab TDM Competence Center, Synlab MVZ Leinfelden-Echterdingen GmbH, Leinfelden-Echterdingen, Germany
| | - Jesse J Swen
- Department of Clinical Pharmacy & Toxicology, Leiden University Medical Center, Leiden, The Netherlands
| | - Teun van Gelder
- Department of Clinical Pharmacy & Toxicology, Leiden University Medical Center, Leiden, The Netherlands
| | - Raman Venkataramanan
- Department of Pharmaceutical Sciences, School of Pharmacy and Department of Pathology, Starzl Transplantation Institute, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Eberhard Wieland
- Synlab TDM Competence Center, Synlab MVZ Leinfelden-Echterdingen GmbH, Leinfelden-Echterdingen, Germany
| | - Jean-Baptiste Woillard
- INSERM, Université de Limoges, Department of Pharmacology and Toxicology, CHU de Limoges, U1248 IPPRITT, Limoges, France
| | - Tom C Zwart
- Department of Clinical Pharmacy & Toxicology, Leiden University Medical Center, Leiden, The Netherlands
| | - Markus J Barten
- Department of Cardiac- and Vascular Surgery, University Heart and Vascular Center Hamburg, Hamburg, Germany
| | - Klemens Budde
- Department of Nephrology, Charité Universitätsmedizin Berlin, Berlin, Germany
| | - Maja-Theresa Dieterlen
- Department of Cardiac Surgery, Heart Center, HELIOS Clinic, University Hospital Leipzig, Leipzig, Germany
| | - Laure Elens
- Integrated PharmacoMetrics, PharmacoGenomics and PharmacoKinetics (PMGK) Research Group, Louvain Drug Research Institute (LDRI), Université Catholique de Louvain (UCLouvain), Brussels, Belgium
| | - Vincent Haufroid
- Louvain Centre for Toxicology and Applied Pharmacology (LTAP), Institut de Recherche Expérimentale et Clinique, UCLouvain and Department of Clinical Chemistry, Cliniques Universitaires Saint-Luc, Brussels, Belgium
| | - Satohiro Masuda
- Department of Pharmacy, International University of Health and Welfare Narita Hospital, Chiba, Japan
| | - Olga Millan
- Pharmacology and Toxicology Laboratory, Biochemistry and Molecular Genetics Department, Biomedical Diagnostic Center, Hospital Clinic of Barcelona, University of Barcelona, IDIBAPS, CIBERehd, Spain
| | - Tomoyuki Mizuno
- Division of Clinical Pharmacology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio
| | - Dirk J A R Moes
- Department of Clinical Pharmacy & Toxicology, Leiden University Medical Center, Leiden, The Netherlands
| | - Michael Oellerich
- Department of Clinical Pharmacology, University Medical Center Göttingen, Georg-August-University Göttingen, Göttingen, Germany
| | - Nicolas Picard
- INSERM, Université de Limoges, Department of Pharmacology and Toxicology, CHU de Limoges, U1248 IPPRITT, Limoges, France
| | | | - Burkhard Tönshoff
- Department of Pediatrics I, University Children's Hospital, Heidelberg, Germany
| | - Ron H N van Schaik
- Department of Clinical Chemistry, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - Nils Tore Vethe
- Department of Pharmacology, Oslo University Hospital and Department of Pharmacy, University of Oslo, Oslo, Norway
| | - Alexander A Vinks
- Department of Pharmacy, International University of Health and Welfare Narita Hospital, Chiba, Japan
| | - Pierre Wallemacq
- Clinical Chemistry Department, Cliniques Universitaires St Luc, Université Catholique de Louvain, LTAP, Brussels, Belgium
| | - Anders Åsberg
- Department of Transplantation Medicine, Oslo University Hospital-Rikshospitalet and Department of Pharmacy, University of Oslo, Oslo, Norway; and
| | - Loralie J Langman
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota
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15
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Roberts MB, Fishman JA. Immunosuppressive Agents and Infectious Risk in Transplantation: Managing the "Net State of Immunosuppression". Clin Infect Dis 2020; 73:e1302-e1317. [PMID: 32803228 DOI: 10.1093/cid/ciaa1189] [Citation(s) in RCA: 92] [Impact Index Per Article: 23.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2020] [Indexed: 12/14/2022] Open
Abstract
Successful solid organ transplantation reflects meticulous attention to the details of immunosuppression, balancing risks for graft rejection against risks for infection. The 'net state of immune suppression' is a conceptual framework of all factors contributing to infectious risk. Assays which measure immune function in the immunosuppressed transplant recipient relative to infectious risk and allograft function are lacking. The best measures of integrated immune function may be quantitative viral loads to assess the individual's ability to control latent viral infections. Few studies address adjustment of immunosuppression during active infections. Thus, confronted with infection in solid organ recipients, the management of immunosuppression is based largely on clinical experience. This review examines known measures of immune function and the immunologic effects of common immunosuppressive drugs and available studies reporting modification of drug regimens for specific infections. These data provide a conceptual framework for the management of immunosuppression during infection in organ recipients.
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Affiliation(s)
- Matthew B Roberts
- Transplant Infectious Disease and Compromised Host Program and Transplant Center, Massachusetts General Hospital, Boston MA
| | - Jay A Fishman
- Transplant Infectious Disease and Compromised Host Program and Transplant Center, Massachusetts General Hospital, Boston MA.,Harvard Medical School, Boston, MA
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16
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Sheng C, Zhao Q, Niu W, Qiu X, Zhang M, Jiao Z. Effect of Protein Binding on Exposure of Unbound and Total Mycophenolic Acid: A Population Pharmacokinetic Analysis in Chinese Adult Kidney Transplant Recipients. Front Pharmacol 2020; 11:340. [PMID: 32265712 PMCID: PMC7100081 DOI: 10.3389/fphar.2020.00340] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2019] [Accepted: 03/09/2020] [Indexed: 01/31/2023] Open
Abstract
OBJECTIVES The population pharmacokinetic (popPK) characteristics of total mycophenolic acid (tMPA) have been investigated in various ethnic populations. However, investigations of popPK of unbound MPA (uMPA) are few. Thus, a popPK analysis was performed to: (1) characterize the PK of uMPA and tMPA and its 7-O-mycophenolic acid glucuronide (MPAG) metabolite in kidney transplant patients cotreated with cyclosporine (CsA), and (2) identify the clinically significant covariates that explain variability in the dose-exposure relationship. METHODS A total of 740 uMPA, 741 tMPA, and 734 total MPAG (tMPAG) concentration-time data from 58 Chinese kidney transplant patients receiving MPA in combination with CsA were analyzed using NONMEM® software with the stochastic approximation expectation maximization (SAEM) followed by the important sampling (IMP) method. The influence of covariates was tested using a stepwise procedure. RESULTS The PK of uMPA and unbound MPAG (uMPAG) were characterized by a two- and one-compartment model with first-order elimination, respectively. A linear protein binding model was used to link uMPA and tMPA. Apparent clearance (CL/F) and central volume of distribution (VC/F) of uMPA (CLuMPA/F and VCuMPA/F, respectively) and protein binding rate constant (k B) were estimated to be 851 L/h [relative standard error (RSE), 7.1%], 718 L (18.5%) and 53.4/h (2.3%), respectively. For uMPAG, the population values (RSE) of CL/F (CLuMPAG) and VC/F (VCuMPAG/F) were 5.71 L/h (4.4%) and 29.9 L (7.7%), respectively. Between-subject variability (BSVs) on CLuMPA/F, VCuMPA/F, CLuMPAG/F, and VCuMPAG/F were 51.0, 80.0, 31.8 and 48.4%, respectively, whereas residual unexplained variability (RUVs) for uMPA, tMPA, and uMPAG were 47.0, 45.9, and 22.0%, respectively. Significant relationships were found between k B and serum albumin (ALB) and between CLuMPAG/F and glomerular filtration rate (GFR). Additionally, model-based simulation showed that changes in ALB concentrations substantially affected tMPA but not uMPA exposure. CONCLUSIONS The established model adequately described the popPK characteristics of the uMPA, tMPA, and MPAG. The estimated CLuMPA/F and unbound fraction of MPA (FUMPA) in Chinese kidney transplant recipients cotreated with CsA were comparable to those published previously in Caucasians. We recommend monitoring uMPA instead of tMPA to optimize mycophenolate mofetil (MMF) dosing for patients with lower ALB levels.
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Affiliation(s)
- Changcheng Sheng
- Department of Pharmacy, Huashan Hospital, Fudan University, Shanghai, China
| | - Qun Zhao
- Department of Pharmacy, Huashan Hospital, Fudan University, Shanghai, China
| | - Wanjie Niu
- Department of Pharmacy, Huashan Hospital, Fudan University, Shanghai, China
| | - Xiaoyan Qiu
- Department of Pharmacy, Huashan Hospital, Fudan University, Shanghai, China
| | - Ming Zhang
- Department of Nephropathy, Huashan Hospital, Fudan University, Shanghai, China
| | - Zheng Jiao
- Department of Pharmacy, Huashan Hospital, Fudan University, Shanghai, China
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17
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Model based development of tacrolimus dosing algorithm considering CYP3A5 genotypes and mycophenolate mofetil drug interaction in stable kidney transplant recipients. Sci Rep 2019; 9:11740. [PMID: 31409869 PMCID: PMC6692323 DOI: 10.1038/s41598-019-47876-0] [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: 09/19/2018] [Accepted: 07/19/2019] [Indexed: 01/10/2023] Open
Abstract
This study quantifies the interaction between tacrolimus (TAC) and mycophenolate mofetil (MMF) in kidney transplant recipients. Concentrations of TAC, mycophenolic acid (MPA), and metabolites were analyzed and relevant genotypes were determined from 32 patients. A population model was developed to estimate the effect of interaction. Concentrations of TAC were simulated in clinical scenarios and dose-adjusted trough concentrations per dose (C/D) were compared. Effect of interaction was described as the inverse exponential relationship. Major determinants of trough levels of TAC were CYP3A5 genotype and interaction with MPA. The absolute difference in C/D of TAC according to co-administered MMF was higher in CYP3A5 non-expressers (0.55 ng/mL) than in CYP3A5 expressers (0.35 ng/mL). The effect of MMF in determining the TAC exposure is more pronounced in CYP3A5 non-expressers. Based on population pharmacokinetic model, we suggest the TAC dosing algorithm considering the effects of CYP3A5 and MMF drug interaction in stable kidney transplant recipients.
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18
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Kulabusaya B, Vadcharavivad S, Avihingsanon Y, van Gelder T, Praditpornsilpa K. Early pharmacokinetics of low dosage mycophenolate exposure in Thai kidney transplant recipients. Int J Clin Pharm 2019; 41:1047-1055. [PMID: 31129889 DOI: 10.1007/s11096-019-00848-w] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2018] [Accepted: 05/14/2019] [Indexed: 12/18/2022]
Abstract
Background The effects of mycophenolic acid exposure in the early period after transplantation on clinical outcomes have been reported; however, mycophenolic acid exposure in the early period after transplantation in Asian kidney transplant recipients who receive 1.5 g/d mycophenolate mofetil has never been investigated. Objective To determine mycophenolic acid exposure on day 3 post-transplantation in kidney transplant recipiens who receive 1.5 g/d mycophenolate mofetil. The effects of the reduced renal function on mycophenolic acid area under the concentration-time curve (AUC) and the achievement of the target AUC on the incidence of biopsy proven acute rejection during the first month post-transplantation were also evaluated. Setting A university hospital Method Blood samples and 24-h urine were collected on day 3 post-transplantation. Main outcome measures The mycophenolic acid AUC was calculated by linear trapezoidal rule and compared with the target of 45 mg*h/L. Results Of 42 Thai kidney transplant recipiens, the mean mycophenolic acid AUC of 45.1 mg*h/L (SD 14.7) was comparable to the AUC target (P = 0.962). Significant differences of the mycophenolic acid AUC were observed between patients with urine output of < 2400 mL and those with urine output ≥ 2400 mL (35.3 ± 6.6 and 47.4 ± 15.2, respectively; P = 0.002), and between patients with 24-h measured CrCl < 25 mL/min and those with CrCl ≥ 25 mL/min (38.0 (29.0, 42.2) and 49.2 ± 14.0, respectively; P = 0.017). Proportions of overall biopsy proven acute rejection among patients with mycophenolic acid AUC of < 45 and ≥ 45 mg*h/L were comparable (20.0% and 23.5%, respectively; P = 1.000). Conclusions After the starting dosage of 1.5 g/d mycophenolate mofetil, the mean mycophenolic acid AUC on day 3 post-kidney transplantation is comparable with the target of 45 mg*h/L. Severely reduced renal function significantly influences mycophenolic acid exposure.
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Affiliation(s)
- Busaya Kulabusaya
- Department of Pharmacy Practice, Faculty of Pharmaceutical Sciences, Chulalongkorn University, Bangkok, 10330, Thailand.,Pharmacy Department, Siriraj Hospital, Bangkok, 10700, Thailand
| | - Somratai Vadcharavivad
- Department of Pharmacy Practice, Faculty of Pharmaceutical Sciences, Chulalongkorn University, Bangkok, 10330, Thailand.
| | - Yingyos Avihingsanon
- Department of Medicine, Renal Immunology and Therapeutic Apheresis Research Unit, Faculty of Medicine, Chulalongkorn University, Bangkok, 10330, Thailand
| | - Teun van Gelder
- Department of Hospital Pharmacy, Erasmus Medical Center, Rotterdam, The Netherlands.,Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands
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19
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Rong Y, Mayo P, Ensom MHH, Kiang TKL. Population Pharmacokinetics of Mycophenolic Acid Co-Administered with Tacrolimus in Corticosteroid-Free Adult Kidney Transplant Patients. Clin Pharmacokinet 2019; 58:1483-1495. [DOI: 10.1007/s40262-019-00771-3] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
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20
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Odegard M, Serrano OK, Peterson K, Mongin SJ, Berglund D, Vock DM, Chinnakotla S, Dunn TB, Finger EB, Kandaswamy R, Pruett TL, Matas AJ. Delivery of transplant care among Hmong kidney transplant recipients: Outcomes from a single institution. Clin Transplant 2019; 33:e13539. [DOI: 10.1111/ctr.13539] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2018] [Revised: 02/26/2019] [Accepted: 03/11/2019] [Indexed: 11/30/2022]
Affiliation(s)
- Marjorie Odegard
- Division of Transplantation Department of Surgery Minneapolis Minnesota
| | - Oscar K. Serrano
- Division of Transplantation Department of Surgery Minneapolis Minnesota
| | - Kent Peterson
- Division of Transplantation Department of Surgery Minneapolis Minnesota
| | - Steven J. Mongin
- Biostatistical Design and Analysis Center Clinical and Translational Science Institute Minneapolis Minnesota
| | - Danielle Berglund
- Informatics Services for Research and Reporting, Fairview Minneapolis Minnesota
| | - David M. Vock
- Division of Biostatistics, School of Public Health University of Minnesota Minneapolis Minnesota
| | | | - Ty B. Dunn
- Division of Transplantation Department of Surgery Minneapolis Minnesota
| | - Erik B. Finger
- Division of Transplantation Department of Surgery Minneapolis Minnesota
| | - Raja Kandaswamy
- Division of Transplantation Department of Surgery Minneapolis Minnesota
| | - Timothy L. Pruett
- Division of Transplantation Department of Surgery Minneapolis Minnesota
| | - Arthur J. Matas
- Division of Transplantation Department of Surgery Minneapolis Minnesota
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21
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Yap DYH, Tam CH, Yung S, Wong S, Tang CSO, Mok TMY, Yuen CKY, Ma MKM, Lau CS, Chan TM. Pharmacokinetics and pharmacogenomics of mycophenolic acid and its clinical correlations in maintenance immunosuppression for lupus nephritis. Nephrol Dial Transplant 2018; 35:810-818. [DOI: 10.1093/ndt/gfy284] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2018] [Accepted: 07/18/2018] [Indexed: 01/02/2023] Open
Abstract
Abstract
Background
There is little data on mycophenolic acid (MPA) pharmacokinetics and pharmacogenomics and optimal MPA exposure in lupus nephritis (LN) patients during long-term maintenance.
Methods
We measured blood MPA levels at 1, 2, 4, 8, 10 and 12-h post-dose (i.e. C1, C2, C4, C8, C10 and C12) in 88 stable LN patients receiving maintenance prednisolone and mycophenolate mofetil, repeated every 6 months. The relationship between MPA exposure and single nucleotide polymorphisms (SNPs) of adenosine triphosphate–binding cassette subfamily C member 2 (ABCC2; rs2273697, rs3740066, rs717620 and rs17222723), organic anion-transporting polypeptides (OATPs; rs7311358 and rs4149117) and uridine diphosphate glucuronosyltransferase (UGT; rs17863762, rs6714486, rs17868320 and rs72551330) was also investigated.
Results
C1, C2 and C12 were 8.3 ± 6.6 , 7.2 ± 5.2 and 2.0 ± 1.4 mg/L and all correlated with the 12-h area under the curve (AUC0–12; r = 0.51, 0.85 and 0.73; P = 0.02, <0.001 and <0.001, respectively). C12 inversely correlated with hemoglobin, immunoglobulins and leukocyte levels (P < 0.05 for all). Five renal flares, 11 episodes of infection and 10 episodes of anemia (hemoglobin <10 g/dL) occurred over 96 weeks, with a corresponding C12 of 1.3 ± 0.5, 4.3 ± 2.6 and 2.9 ± 1.5 mg/L, respectively (versus 2.4 ± 1.2, 1.8 ± 1.2 and 1.7 ± 1.1 mg/L in patients without these complications; P = 0.041, <0.001 and 0.004). SNP rs2273697 A/G in the ABCC2 gene was associated with lower MPA exposure compared with G/G (1075.9 ± 239.9 versus 1891.5 ± 918.9 mgh/L per g/kg; P = 0.003). SNPs of OATP and UGT were unrelated to MPA level.
Conclusion
MPA C12 correlates with the AUC0–12 and is related to renal flare, infection and anemia. SNP rs2273697 A/G is associated with lower MPA exposure.
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Affiliation(s)
- Desmond Y H Yap
- Division of Nephrology, Department of Medicine, University of Hong Kong, Hong Kong
| | - Chun Hay Tam
- Nephrology Division, Department of Medicine and Geriatrics, United Christian Hospital, Hong Kong
| | - Susan Yung
- Division of Nephrology, Department of Medicine, University of Hong Kong, Hong Kong
| | - Sunny Wong
- Nephrology Division, Department of Medicine and Geriatrics, United Christian Hospital, Hong Kong
| | - Colin S O Tang
- Division of Nephrology, Department of Medicine, University of Hong Kong, Hong Kong
| | - Temy M Y Mok
- Division of Rheumatology and Clinical Immunology, Department of Medicine, University of Hong Kong, Hong Kong
- Department of Biomedical Sciences, City University of Hong Kong, Hong Kong
| | - Catherine K Y Yuen
- Division of Rheumatology and Clinical Immunology, Department of Medicine, University of Hong Kong, Hong Kong
| | - Maggie K M Ma
- Division of Nephrology, Department of Medicine, University of Hong Kong, Hong Kong
| | - Chak Sing Lau
- Division of Rheumatology and Clinical Immunology, Department of Medicine, University of Hong Kong, Hong Kong
| | - Tak Mao Chan
- Division of Nephrology, Department of Medicine, University of Hong Kong, Hong Kong
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22
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Mycophenolate mofetil, for rheumatic diseases: should we monitor the area under the curve? Curr Opin Rheumatol 2018. [DOI: 10.1097/bor.0000000000000501] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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23
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Chang JY, Yu J, Chung BH, Yang J, Kim SJ, Kim CD, Lee SH, Lee JS, Kim JK, Jung CW, Oh CK, Yang CW. Immunosuppressant prescription pattern and trend in kidney transplantation: A multicenter study in Korea. PLoS One 2017; 12:e0183826. [PMID: 28846737 PMCID: PMC5573298 DOI: 10.1371/journal.pone.0183826] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2016] [Accepted: 08/11/2017] [Indexed: 11/19/2022] Open
Abstract
Background The actual prescription pattern of immunosuppressive agents in kidney transplantation is unclear. Methods We investigated the pattern and trend of immunosuppressive treatment for kidney transplant patients in South Korea. A total of 636 patients at nine transplant centers were enrolled and followed for one year. We reviewed medical records and evaluated induction therapy, as well as the changing pattern and cause of maintenance therapy. Results Most patients (n = 621, 97.6%) received induction therapy often comprising basiliximab (n = 542, 85.2%). The triple therapy including calcineurin inhibitor, mycophenolic acid, and steroids was the major initial maintenance immunosuppression (n = 518, 81.4%), but its proportion decreased by 14% (81.4% to 67.5%) after 1 year. Almost 40% of patients changed immunosuppressive regimen during the 1-year follow-up, most often at an early period (60.2% within the first 4 months). The primary reason for the change was gastrointestinal discomfort (n = 113, 29.8%), followed by infection (112, 29.6%). The most common changing pattern was mycophenolic acid withdrawal (n = 155, 39.1%). Conclusion The initial immunosuppressive regimen is prone to change within the first year of kidney transplantation. Further studies are needed to evaluate the benefits and risks in patients who changed immunosuppressants.
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Affiliation(s)
- Ji-Yeun Chang
- Division of Nephrology, Department of Internal Medicine, Seoul St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Jihyun Yu
- Division of Nephrology, Department of Internal Medicine, Seoul St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Byung Ha Chung
- Division of Nephrology, Department of Internal Medicine, Seoul St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Jaeseok Yang
- Transplantation Center, Seoul National University Hospital, Seoul, Republic of Korea
| | - Sung-Joo Kim
- Department of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Chan-Duck Kim
- Division of Nephrology, Department of Internal Medicine, Kyungpook National University Hospital, Daegu, Republic of Korea
| | - Sang-Ho Lee
- Division of Nephrology, Department of Internal Medicine, Kyung Hee University Hospital at Gangdong, Seoul, Republic of Korea
| | - Jong Soo Lee
- Division of Nephrology, Department of Internal Medicine, Ulsan University Hospital, Ulsan, Republic of Korea
| | - Joong Kyung Kim
- Division of Nephrology, Department of Internal Medicine, Bong Seng Memorial Hospital, Busan, Republic of Korea
| | - Cheol Woong Jung
- Department of Surgery, Korea University Anam Hospital, Seoul, Republic of Korea
| | - Chang Kwon Oh
- Department of Surgery, Ajou University Hospital, Suwon, Republic of Korea
| | - Chul Woo Yang
- Division of Nephrology, Department of Internal Medicine, Seoul St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
- * E-mail:
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Enokiya T, Nishikawa K, Muraki Y, Iwamoto T, Kanda H, Sugimura Y, Okuda M. Usefulness of limited sampling strategy for mycophenolic acid area under the curve considering postoperative days in living-donor renal transplant recipients with concomitant prolonged-release tacrolimus. J Pharm Health Care Sci 2017; 3:17. [PMID: 28652924 PMCID: PMC5483304 DOI: 10.1186/s40780-017-0086-7] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2017] [Accepted: 06/18/2017] [Indexed: 11/24/2022] Open
Abstract
Background The optimal dose of mycophenolate mofetil (MMF) in renal transplant patients has been recommended to be decided on the basis of area under the concentration-time curve (AUC0-12) of mycophenolic acid (MPA). Although meta-analysis has revealed that postoperative day (POD) is an influencing factor in MPA pharmacokinetics, there are no reports regarding a limited sampling strategy (LSS) for MPA AUC in consideration of POD. The aim of this study was to construct of an LSS considering POD that appropriately expresses the MPA AUC following renal transplantation and evaluation of the usefulness. Methods Serum concentration–time profiles (measured AUC0-12) comprising nine sampling points over 12 h were analyzed in 36 living-donor renal transplant recipients after MMF administration with concomitant once-daily prolonged-release tacrolimus. Two LSSs were developed by stepwise multiple regression analysis (Method A: not classified by PODs; Method B: classified by PODs into POD < 31 and POD ≥ 31). Each LSS comprised four blood-sampling points within 6 h after MMF administration. Precision and reliability were verified by using root-mean-square error (RMSE), correlation coefficient (R2), and coefficient of determination (q2) by using leave-one-out cross-validation. The absolute values of the difference between measured and estimated AUCs (delta AUC) were compared for both estimating equations. Results One-hundred samples obtained from 36 recipients for AUC0-12 comprised POD < 31 (n = 39) and POD ≥ 31 (n = 61). Estimation of AUC0-12 by Method B resulted in better accuracy and reliability (Method A: RMSE = 5.5, R2 = 0.85, q2 = 0.83; Method B: POD < 31: RMSE = 5.5, R2 = 0.86, q2 = 0.83; POD ≥ 31: RMSE = 3.9, R2 = 0.92, q2 = 0.89) and significantly lower median delta AUC compared with that by Method A (delta AUC: 2.6 (0.0–11.6) v.s. 3.9 (0.1–18.1), p = 0.032). Conclusion These results suggest that LSS, classified as POD < 31 or POD > 31, would provide more accurate and reliable estimation of MPA AUC0-12 in Japanese living-donor renal transplant patients. Electronic supplementary material The online version of this article (doi:10.1186/s40780-017-0086-7) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Tomoyuki Enokiya
- Department of Pharmacy, Mie University Hospital, Faculty of Medicine, Mie University, 2-174 Edobashi, Tsu, Mie 514-8507 Japan
| | - Kouhei Nishikawa
- Department of Nephro-Urologic Surgery and Andrology, Mie University Hospital, Mie University, Tsu, Mie 514-8507 Japan
| | - Yuichi Muraki
- Department of Pharmacy, Mie University Hospital, Faculty of Medicine, Mie University, 2-174 Edobashi, Tsu, Mie 514-8507 Japan
| | - Takuya Iwamoto
- Department of Pharmacy, Mie University Hospital, Faculty of Medicine, Mie University, 2-174 Edobashi, Tsu, Mie 514-8507 Japan
| | - Hideki Kanda
- Department of Nephro-Urologic Surgery and Andrology, Mie University Hospital, Mie University, Tsu, Mie 514-8507 Japan
| | - Yoshiki Sugimura
- Department of Nephro-Urologic Surgery and Andrology, Mie University Hospital, Mie University, Tsu, Mie 514-8507 Japan
| | - Masahiro Okuda
- Department of Pharmacy, Mie University Hospital, Faculty of Medicine, Mie University, 2-174 Edobashi, Tsu, Mie 514-8507 Japan
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Zhang H, Liu L, Li J, Fu Q, Wan J, Deng R, Wang H, Liao J, Deng W, Deng S, Chen L, Wang C. The efficacy and safety of intensified enteric-coated mycophenolate sodium with low exposure of calcineurin inhibitors in Chinese de novo kidney transplant recipients: a prospective study. Int J Clin Pract 2016; 70 Suppl 185:22-30. [PMID: 27198001 DOI: 10.1111/ijcp.12813] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
AIMS The aim of this study was to investigate the efficacy and safety of a transient intensified enteric-coated mycophenolate sodium (EC-MPS) dosing regimen with low exposure of calcineurin inhibitors (CNIs) in Chinese de novo kidney transplantation. METHODS In a 6-month prospective study, a total of 97 recipients were enrolled and assigned to either an intensified EC-MPS dosing (IS) regimen or a standard EC-MPS dosing (SD) regimen. The area under the curve (AUC) of MPA was assessed at week 1 post transplant. The incidences of acute rejection, patient and graft survival, renal allograft function and adverse events were analysed. RESULTS The IS regimen displayed a trend of acute rejection risk reduction (IS 2.7% vs. SD 13.3%, p = 0.061) and allograft function improvement (IS 62.8 ± 14.0 ml/min per 1.73 m(2) vs. SD 56.6 ± 18.3 ml/min per 1.73 m(2) , p = 0.084) after 6-month follow-up. MPA-AUC0-12 h was substantially higher in the intensified EC-MPS group than the standard EC-MPS group, though without a significant difference (71.4 ± 41.7 vs. 53.0 ± 27.0 mg·h/l, p = 0.107). The IS regimen did not increase the incidence of adverse effects (IS 54.1% vs. 45.0%, p = 0.39), including diarrhoea or leucopenia. CONCLUSIONS The intensified EC-MPS dosing regimen maintaining low-dose CNIs in this study may be beneficial for Chinese adult de novo kidney transplant recipients in terms of acute rejection and allograft function and is safe within 6 months post transplant.
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Affiliation(s)
- H Zhang
- Organ Transplant Center, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, People's Republic of China
| | - L Liu
- Organ Transplant Center, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, People's Republic of China
| | - J Li
- Organ Transplant Center, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, People's Republic of China
| | - Q Fu
- Organ Transplant Center, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, People's Republic of China
| | - J Wan
- Department of Clinical Laboratory, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, People's Republic of China
| | - R Deng
- Organ Transplant Center, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, People's Republic of China
| | | | - J Liao
- Organ Transplant Center, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, People's Republic of China
| | - W Deng
- Organ Transplant Center, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, People's Republic of China
| | - S Deng
- Organ Transplant Center, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, People's Republic of China
| | - L Chen
- Organ Transplant Center, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, People's Republic of China
| | - C Wang
- Organ Transplant Center, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, People's Republic of China
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Implications of Clinical Mycophenolate Mofetil Dose According to Individual Body Weight in Japanese Renal Transplant Recipients. Transplant Proc 2016; 48:35-41. [PMID: 26915840 DOI: 10.1016/j.transproceed.2015.11.014] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2015] [Revised: 11/05/2015] [Accepted: 11/18/2015] [Indexed: 11/20/2022]
Abstract
BACKGROUND Mycophenolate mofetil (MMF) is generally administered at a fixed dose of 0.5-1.5 g/d without considering individual body weight (BW) in Japanese renal transplant outpatients receiving maintenance therapy. We aimed to investigate the implications of the area under the curve of mycophenolic acid (MPA AUC):MMF dose ratio by individual BW and suggest the index of MMF dose according to individual BW. METHODS Forty-three Japanese patients who received a renal transplant ≥6 months before the study were enrolled. Blood samples were collected at 4 time points: at predose, 20 minutes, 1 hour, and 3 hours after MMF administration. RESULTS The mean ± standard deviation MMF dose, MPA AUC, and BW of all patients were 581 ± 207 mg/d, 36.2 ± 18.7 μg·h/mL, and 56.3 ± 11.1 kg, respectively. Patients with a lower BW tended to have a higher MPA AUC:MMF dose ratio than patients with a higher BW. There was a significant correlation between the MMF dose:BW ratios and MPA AUC (r(2) = 0.330; P < .01). The rate of MPA AUC between 30 and 60 μg·h/mL with the MMF dose:BW ratio of 10-16 mg/kg was 73.7%. CONCLUSION Individual BW seems to affect the MPA AUC:MMF dose ratio; therefore, we need to consider individual BW when deciding on a MMF dose. The MMF dose:BW ratio of 10-16 mg/kg could predict MPA AUC between 30 and 60 μg·h/mL with a probability of approximately 75%. Therefore, it could be a useful index for outpatients, because it is difficult to draw blood frequently from such patients.
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van Gelder T, Hesselink DA. Mycophenolate revisited. Transpl Int 2016; 28:508-15. [PMID: 25758949 DOI: 10.1111/tri.12554] [Citation(s) in RCA: 62] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2015] [Revised: 02/03/2015] [Accepted: 03/06/2015] [Indexed: 12/11/2022]
Abstract
The patent of mycophenolate mofetil (MMF) has expired, and for enteric-coated mycophenolate sodium (EC-MPS), this will happen in 2017. In the twenty years these drugs have been used, they have become extremely popular. In this review, the reasons for the popularity of mycophenolate are discussed, including the benefits compared to azathioprine. MMF and EC-MPS are therapeutically equivalent. Although neither is considered to be a narrow therapeutic index drug, this should not lead to careless switching between the innovator drug and generic formulations, or between one generic formulation and another. The pipeline of new immunosuppressive drugs is dry, and it is very likely that we will be using mycophenolate for many more years to come as a first-line immunosuppressive drug in our transplant population. Whether or not the development of donor-specific anti-HLA antibodies is related to drug exposure (mycophenolic acid concentrations) remains to be investigated.
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Affiliation(s)
- Teun van Gelder
- Department of Hospital Pharmacy, Erasmus MC, University Medical Center, Rotterdam, The Netherlands; Department of Internal Medicine, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
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Wang Z, He JJ, Liu XY, Lin B, Zhang L, Geng L, Zheng S. The evaluation of enteric-coated mycophenolate sodium in cardiac deceased donor liver transplant patients in China. Immunopharmacol Immunotoxicol 2015; 37:508-12. [DOI: 10.3109/08923973.2015.1096286] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
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Andrews LM, Riva N, de Winter BC, Hesselink DA, de Wildt SN, Cransberg K, van Gelder T. Dosing algorithms for initiation of immunosuppressive drugs in solid organ transplant recipients. Expert Opin Drug Metab Toxicol 2015; 11:921-36. [DOI: 10.1517/17425255.2015.1033397] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
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