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Nguyen TA, Chen RH, Hawkins BA, Hibbs DE, Kim HY, Wheate NJ, Groundwater PW, Stocker SL, Alffenaar JWC. Can we Predict Drug Excretion into Saliva? A Systematic Review and Analysis of Physicochemical Properties. Clin Pharmacokinet 2024; 63:1067-1087. [PMID: 39008243 PMCID: PMC11343830 DOI: 10.1007/s40262-024-01398-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/24/2024] [Indexed: 07/16/2024]
Abstract
BACKGROUND AND OBJECTIVES Saliva is a patient-friendly matrix for therapeutic drug monitoring (TDM) but is infrequently used in routine care. This is due to the uncertainty of saliva-based TDM results to inform dosing. This study aimed to retrieve data on saliva-plasma concentration and subsequently determine the physicochemical properties that influence the excretion of drugs into saliva to increase the foundational knowledge underpinning saliva-based TDM. METHODS Medline, Web of Science and Embase (1974-2023) were searched for human clinical studies, which determined drug pharmacokinetics in both saliva and plasma. Studies with at least ten subjects and five paired saliva-plasma concentrations per subject were included. For each study, the ratio of the area under the concentration-time curve between saliva and plasma was determined to assess excretion into saliva. Physicochemical properties of each drug (e.g. pKa, lipophilicity, molecular weight, polar surface area, rotatable bonds and fraction of drug unbound to plasma proteins) were obtained from PubChem and Drugbank. Drugs were categorised by their ionisability, after which saliva-to-plasma ratios were predicted with adjustment for protein binding and physiological pH via the Henderson-Hasselbalch equation. Spearman correlation analyses were performed for each drug category to identify factors predicting saliva excretion (α = 5%). Study quality was assessed by the risk of bias in non-randomised studies of interventions tool. RESULTS Overall, 42 studies including 40 drugs (anti-psychotics, anti-microbials, immunosuppressants, anti-thrombotic, anti-cancer and cardiac drugs) were included. The median saliva-to-plasma ratios were similar for drugs in the amphoteric (0.59), basic (0.43) and acidic (0.41) groups and lowest for drugs in the neutral group (0.21). Higher excretion of acidic drugs (n = 5) into saliva was associated with lower ionisation and protein binding (correlation between predicted versus observed saliva-to-plasma ratios: R2 = 0.85, p = 0.02). For basic drugs (n = 21), pKa predicted saliva excretion (Spearman correlation coefficient: R = 0.53, p = 0.02). For amphoteric drugs (n = 10), hydrogen bond donor (R = - 0.76, p = 0.01) and polar surface area (R = - 0.69, p = 0.02) were predictors. For neutral drugs (n = 10), protein binding (R = 0.84, p = 0.004), lipophilicity (R = - 0.65, p = 0.04) and hydrogen bond donor count (R = - 0.68, p = 0.03) were predictors. Drugs considered potentially suitable for saliva-based TDM are phenytoin, tacrolimus, voriconazole and lamotrigine. The studies had a low-to-moderate risk of bias. CONCLUSIONS Many commonly used drugs are excreted into saliva, which can be partly predicted by a drug's ionisation state, protein binding, lipophilicity, hydrogen bond donor count and polar surface area. The contribution of drug transporters and physiological factors to the excretion needs to be evaluated. Continued research on drugs potentially suitable for saliva-based TDM will aid in adopting this person-centred TDM approach to improve patient outcomes.
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Affiliation(s)
- Thi A Nguyen
- Sydney Pharmacy School, Faculty of Medicine and Health, The University of Sydney, Pharmacy Building (A15), Sydney, NSW, 2006, Australia.
- Westmead Hospital, Sydney, NSW, Australia.
- Sydney Institute for Infectious Diseases, The University of Sydney, Sydney, NSW, Australia.
| | - Ricky H Chen
- Sydney Pharmacy School, Faculty of Medicine and Health, The University of Sydney, Pharmacy Building (A15), Sydney, NSW, 2006, Australia
- Department of Pharmacy, Royal Prince Alfred Hospital, Sydney, NSW, Australia
| | - Bryson A Hawkins
- Sydney Pharmacy School, Faculty of Medicine and Health, The University of Sydney, Pharmacy Building (A15), Sydney, NSW, 2006, Australia
- Department of Biology, Antimicrobial Discovery Centre, Northeastern University, Boston, MA, USA
| | - David E Hibbs
- Sydney Pharmacy School, Faculty of Medicine and Health, The University of Sydney, Pharmacy Building (A15), Sydney, NSW, 2006, Australia
| | - Hannah Y Kim
- Sydney Pharmacy School, Faculty of Medicine and Health, The University of Sydney, Pharmacy Building (A15), Sydney, NSW, 2006, Australia
- Sydney Institute for Infectious Diseases, The University of Sydney, Sydney, NSW, Australia
- Department of Pharmacy, Westmead Hospital, Sydney, NSW, Australia
| | - Nial J Wheate
- School of Natural Sciences, Faculty of Science and Engineering, Macquarie University, Sydney, NSW, Australia
| | - Paul W Groundwater
- Sydney Pharmacy School, Faculty of Medicine and Health, The University of Sydney, Pharmacy Building (A15), Sydney, NSW, 2006, Australia
| | - Sophie L Stocker
- Sydney Pharmacy School, Faculty of Medicine and Health, The University of Sydney, Pharmacy Building (A15), Sydney, NSW, 2006, Australia
- Sydney Institute for Infectious Diseases, The University of Sydney, Sydney, NSW, Australia
- Department of Pharmacy, Westmead Hospital, Sydney, NSW, Australia
- Department of Clinical Pharmacology and Toxicology, St Vincent's Hospital, Sydney, NSW, Australia
- Sydney Musculoskeletal Health, The University of Sydney, Sydney, NSW, Australia
| | - Jan-Willem C Alffenaar
- Sydney Pharmacy School, Faculty of Medicine and Health, The University of Sydney, Pharmacy Building (A15), Sydney, NSW, 2006, Australia
- Sydney Institute for Infectious Diseases, The University of Sydney, Sydney, NSW, Australia
- Department of Pharmacy, Westmead Hospital, Sydney, NSW, Australia
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Veltkamp F, Pistorius MCM, Mak-Nienhuis EM, Schreuder MF, Bouts AHM, Mathôt RAA. Saliva monitoring of prednisolone in children with first onset steroid-sensitive nephrotic syndrome: Is it possible? Br J Clin Pharmacol 2024; 90:1677-1687. [PMID: 38599658 DOI: 10.1111/bcp.16066] [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: 08/01/2023] [Revised: 03/06/2024] [Accepted: 03/15/2024] [Indexed: 04/12/2024] Open
Abstract
AIMS Prednisolone is the cornerstone of treatment for idiopathic nephrotic syndrome in children, but is associated with marked side-effects. Therapeutic drug monitoring using saliva would be a patient-friendly option to monitor prednisolone treatment. To assess the feasibility of saliva monitoring, we described the pharmacokinetics (PK) of unbound prednisolone in plasma and saliva of children with first onset steroid-sensitive nephrotic syndrome (SSNS). METHODS Children (age 2-16 years) with SSNS participating in a randomized, placebo-controlled trial with levamisole were treated with an 18-week tapering schedule of prednisolone. Five serial samples were collected at 4 (saliva) and 8 weeks (saliva and plasma) after first onset. A nonlinear mixed-effects model was used to estimate the PK parameters of unbound prednisolone and the saliva-to-plasma ratio. Monte Carlo simulations were performed to assess the predictive performance of saliva monitoring. RESULTS From 39 children, 109 plasma and 275 saliva samples were available. Estimates (relative squared error) of unbound plasma clearance and volume of distribution were 93 (5%) L h-1 70 kg-1 and 158 (7%) L 70 kg-1, respectively. Typical saliva-to-plasma ratio was 1.30 (8%). Monte Carlo simulations demonstrated that on basis of 4 saliva samples and a single plasma sample unbound plasma area-under-the-concentration-time curve can be predicted within 20% imprecision in 79% of the patients compared to 87% based on 4 plasma samples. CONCLUSION Saliva proved to be a reliable and patient-friendly option to determine prednisolone plasma exposure in children with SSNS. This opens opportunities for further PK and pharmacodynamics studies of prednisolone in a variety of paediatric conditions.
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Affiliation(s)
- Floor Veltkamp
- Department of Pediatric Nephrology, Emma Children's Hospital, Amsterdam University Medical Centers, location University of Amsterdam, Amsterdam, The Netherlands
- Amsterdam Reproduction & Development, Amsterdam, The Netherlands
| | - Marcel C M Pistorius
- Department of Pharmacy & Clinical Pharmacology, Amsterdam University Medical Centers, location University of Amsterdam, Amsterdam, The Netherlands
| | - Elske M Mak-Nienhuis
- Department of Pediatric Nephrology, Emma Children's Hospital, Amsterdam University Medical Centers, location University of Amsterdam, Amsterdam, The Netherlands
| | - Michiel F Schreuder
- Department of Pediatric Nephrology, Amalia Children's Hospital, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Antonia H M Bouts
- Department of Pediatric Nephrology, Emma Children's Hospital, Amsterdam University Medical Centers, location University of Amsterdam, Amsterdam, The Netherlands
- Amsterdam Reproduction & Development, Amsterdam, The Netherlands
| | - Ron A A Mathôt
- Department of Pharmacy & Clinical Pharmacology, Amsterdam University Medical Centers, location University of Amsterdam, Amsterdam, The Netherlands
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Kristensen T, Birn H, Ivarsen P. A randomised controlled unblinded multicentre non-inferiority trial with activated vitamin D and prednisolone treatment in patients with minimal change nephropathy (ADAPTinMCN). Trials 2021; 22:442. [PMID: 34247632 PMCID: PMC8273943 DOI: 10.1186/s13063-021-05393-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2021] [Accepted: 06/23/2021] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Minimal change nephropathy (MCN) is a common cause of nephrotic syndrome in both adults and children. International guidelines recommend treatment with prednisolone 1 mg/kg/day to adults. This dose is derived from an empirically established dose in children, although children generally attain remission faster and relapse more rapidly than adults. Prednisolone is associated with multiple and serious adverse events. Activated vitamin D has been shown to reduce albuminuria in other glomerular renal diseases with a minimum of adverse events. This study tests the hypothesis that a new treatment regimen in MCN combining reduced dose prednisolone and active vitamin D is as efficient in inducing remission and has fewer and less severe adverse events than standard prednisolone. Furthermore, we aim to establish models allowing for more personalized medicine based on assessment of the individual's prednisolone metabolism. METHODS A randomised controlled multicentre non-inferior unblinded trial including 96 adult, incident patients with biopsy-proven MCN, albuminuria > 3 g/day, and an estimated glomerular filtration rate (eGFR) > 30 ml/min from renal departments in Denmark. Patients are randomised to standard prednisolone (1 mg/kg/day) or reduced prednisolone (0.5 mg/kg/day) and alfacalcidol (0.5 μg/day). The primary outcome is the rate of remissions after 16 weeks and the time from diagnosis to remission. The study will include a saliva test to characterise prednisolone pharmacokinetics and compare them to genetic variations in specific liver enzymes responsible for prednisolone metabolism. DISCUSSION Reducing the prednisolone dose is expected to reduce the number of severe adverse events. This study will examine if reduced prednisolone dose with active vitamin D but without additional immunosuppression is feasible in the treatment of MCN and will reduce the number of adverse events. The findings can potentially change current guidelines for treatment of MCN in adults. Additional outcomes on inter-individual pharmacokinetic and metabolic variations may allow for a more personalised treatment strategy. TRIAL REGISTRATION EudraCT 2017-001206-16, ClinicalTrials.gov NCT03210688 . Registered on June 3, 2017.
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Affiliation(s)
- Tilde Kristensen
- Department of Internal Medicine, renal unit, Regional Hospital Viborg, and Department of Clinical Medicine, Aarhus University, Aarhus, Denmark.
| | - Henrik Birn
- Department of Nephrology, Aarhus University Hospital and Department of Biomedicine, Aarhus University, Aarhus, Denmark
| | - Per Ivarsen
- Department of Nephrology, Aarhus University Hospital, and Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
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Prednisolone Concentrations in Plasma (Total and Unbound) and Saliva of Adult Kidney Transplant Recipients. Ther Drug Monit 2019; 41:755-760. [DOI: 10.1097/ftd.0000000000000687] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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Tacrolimus Concentration in Saliva of Kidney Transplant Recipients: Factors Influencing the Relationship with Whole Blood Concentrations. Clin Pharmacokinet 2019; 57:1199-1210. [PMID: 29330784 DOI: 10.1007/s40262-017-0626-1] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
OBJECTIVE The objective of this study was to examine the association between tacrolimus concentration in oral fluids and in whole blood and to investigate the various factors that influence this relationship. PATIENTS AND METHODS Forty-six adult kidney transplant recipients were included in the study. Study A (ten patients) included the collection of several paired oral fluid samples by passive drool over a 12-h post-dose period. Study B (36 patients) included the collection of oral fluids pre-dose and at 2 h after the tacrolimus dose under three conditions: un-stimulated, after stimulation with a tart candy, and after mouth rinsing. The tacrolimus concentration in oral fluids was measured by a specially developed sensitive and specific liquid chromatography mass spectrometry method. A salivary transferrin concentration of >1 mg/dL was used as a cut-off value for oral fluid blood contamination. RESULTS Rinsing the oral cavity before sampling proved to provide the most suitable sampling strategy giving a correlation coefficient value of 0.71 (p = 0.001) between the tacrolimus concentration in oral fluids and the tacrolimus concentration in whole blood at trough. Mean and 95% confidence interval of tacrolimus concentration in oral fluids at the pre-dose concentration for samples collected after mouth rinsing was 584 (436, 782) pg/mL. The ratio of the tacrolimus concentration in oral fluids to the tacrolimus concentration in whole blood (*100) was 11% (95% confidence interval 9-13) for all sampling times. Oral fluid pH or weight of a saliva sample did not influence the tacrolimus concentration in oral fluids. Tacrolimus distribution into oral fluids exhibited a delay with a pronounced counter-clockwise hysteresis with respect to the time after dose. A multivariate analysis of variance revealed that the tacrolimus concentration in oral fluids is related to the tacrolimus concentration in whole blood and tacrolimus plasma-binding proteins including albumin and cholesterol. CONCLUSION An optimal sampling strategy for the determination of the tacrolimus concentration in oral fluids was established. Measuring the tacrolimus concentration in oral fluids appears to be a feasible and non-invasive method for predicting the concentration of tacrolimus in whole blood.
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Shenje J, Gumbo T, Wiesner L, Ntsekhe M, Mayosi B, Ross I. Detectable prednisolone is delayed in pericardial fluid, compared with plasma of patients with tuberculous pericarditis: A pilot study. IJC HEART & VASCULATURE 2019; 22:105-110. [PMID: 30963091 PMCID: PMC6437290 DOI: 10.1016/j.ijcha.2018.12.008] [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: 12/10/2018] [Accepted: 12/17/2018] [Indexed: 11/29/2022]
Abstract
Background In patients with tuberculous pericarditis [TBP] adjunctive prednisolone reduces the incidence of constrictive pericarditis. It is unknown whether prednisolone permeates adequately into pericardial fluid. Drug measurements in pericardial fluid require invasive procedures, and thus less invasive methods are needed to perform full pharmacokinetic characterization of prednisolone in large numbers of patients. We sought to evaluate the relationship between prednisolone concentrations in pericardial fluid, plasma, and saliva. Methods Plasma, pericardial fluid, and saliva samples were collected at 7 time points from TBP patients randomized to 120 mg prednisolone or placebo. Compartmental pharmacokinetic parameters, peak concentration [Cmax], and 0-24 h area under the concentration-time curve [AUC0-24] were identified in plasma, saliva and pericardial fluid. Results There were five patients each in the prednisolone and placebo groups. Prednisolone concentrations were best described using a one compartment model. The absorption half-life into plasma was 1 h, while that into pericardial fluid was 9.4 h, which led to a median time-to-maximum concentration in plasma of 2.0 h versus 5.0 h in pericardial fluid [p = 0.048]. The concentration-time profiles in pericardial fluid versus plasma exhibited system hysteresis. The pericardial fluid-to-plasma Cmax peak concentration ratio was 0.28 (p = 0.032), while the AUC0-24 ratio was 0.793. The concentration-time profiles in saliva had a similar shape to those in plasma, but the saliva-to-plasma Cmax was 0.59 [p = 0.032]. Conclusion The prednisolone AUC0-24 achieved in pericardial fluid approximates that in plasma, but the Cmax is low due to delayed absorption. Saliva can be used as surrogate sampling site for pericardial fluid prednisolone.
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Affiliation(s)
- Justin Shenje
- Department of Medicine, University of Cape Town, South Africa
| | - Tawanda Gumbo
- Center for Infectious Diseases Research and Experimental Therapeutics, Baylor Research Institute, Dallas, TX, USA
| | - Lubbe Wiesner
- Department of Medicine, University of Cape Town, South Africa
| | - Mpiko Ntsekhe
- Department of Medicine, University of Cape Town, South Africa
| | - Bongani Mayosi
- Department of Medicine, University of Cape Town, South Africa
| | - Ian Ross
- Department of Medicine, University of Cape Town, South Africa
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Haslund-Krog SS, Schmidt M, Mathot R, Kryger Jensen A, Jørgensen IM, Holst H. Pharmacokinetics of prednisolone in children: an open-label, randomised, two-treatment cross-over trial investigating the bioequivalence of different prednisolone formulations in children with airway disease. BMJ Paediatr Open 2019; 3:e000520. [PMID: 31646194 PMCID: PMC6782035 DOI: 10.1136/bmjpo-2019-000520] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/14/2019] [Revised: 09/03/2019] [Accepted: 09/08/2019] [Indexed: 11/28/2022] Open
Abstract
INTRODUCTION One in three Danish children under 3 years of age experience asthma-like symptoms, and one-third will later be diagnosed with asthma. Oral prednisolone is used in various formulations to treat acute asthma. However, the potential differences in bioequivalence between these formulations have never been examined in children despite interchangeable use in clinical practice. METHODS AND ANALYSIS An open-label, randomised, two-treatment cross-over trial investigating the bioequivalence of different prednisolone formulations in children with airway disease.The included patients (6 months-11 years of age) are admitted to the Department of Paediatric and Adolescent Medicine Nordsjællands University Hospital, Hillerød, with asthma or asthma-like symptoms.The primary objective is to assess the bioequivalence between different prednisolone formulations herein area under the concentration time curve, Cmax and Tmax using saliva samples. The secondary objectives are to evaluate tolerability (five-point face scale), adverse events and severity of the disease. If the patient has an intravenous access for other purposes, the saliva samples will be validated with plasma samples.A total of 66 evaluable patients are needed according to European Medicines Agency Guideline on bioequivalence. ETHICS AND DISSEMINATION Traditional pharmacokinetic trials are burdensome due to the extent of blood samples necessary to capture the time-dependant drug profile. Saliva sampling is far more acceptable for paediatric patients. In addition, this trial adheres to standard dosing strategies. No additional venepunctures are performed, and no additional prednisolone doses are administered.Guidelines for paediatric bioequivalence trials are warranted. TRIAL REGISTRATION NUMBER The Danish Medicines Agency EudraCT: 2017-003590-33, The Ethics Committee case no: H-17027252, and the Danish Data Protection Agency: BFH-2017-103, I-Suite no.: 05935.
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Affiliation(s)
- Sissel Sundell Haslund-Krog
- Department of Clinical Pharmacology, Bispebjerg Hospital, Copenhagen, Denmark.,Department of Paediatric and Adolescent Medicine, Hillerød Hospital, Hillerød, Denmark
| | - Maria Schmidt
- Department of Clinical Pharmacology, Bispebjerg Hospital, Copenhagen, Denmark
| | - Ron Mathot
- Department of Hospital Pharmacy - Clinical Pharmacology Unit, Amsterdam University Medical Centres, Amsterdam, The Netherlands
| | - Andreas Kryger Jensen
- Department of Biostatistics, Institute of Public Health, University of Copenhagen, Copenhagen, Denmark.,Department of Clinical Research, Hillerød Hospital, Hillerød, Denmark
| | - Inger Merete Jørgensen
- Department of Paediatric and Adolescent Medicine, Hillerød Hospital, Hillerød, Denmark.,Institute for Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Helle Holst
- Department of Clinical Pharmacology, Bispebjerg Hospital, Copenhagen, Denmark
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Population Pharmacokinetics of Prednisolone in Relation to Clinical Outcome in Children With Nephrotic Syndrome. Ther Drug Monit 2017; 38:534-45. [PMID: 27120177 DOI: 10.1097/ftd.0000000000000308] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Abstract
BACKGROUND The relapse frequency in children with nephrotic syndrome (NS) is highly variable despite standardized prednisolone treatment regimens. Existing evidence on the relationship between prednisolone pharmacokinetics (PK) and clinical response in children with NS is scarce and limited. The aim of this study was to develop a pediatric popPK model for prednisolone based on our previous model based on healthy adults using salivary measurements in children with NS and to correlate clinical outcome with between-subject variability in prednisolone exposure. METHODS The pharmacokinetics of prednisolone in a well-defined, prospective cohort consisting of 104 children with NS while in remission was determined. Pharmacokinetic parameters were analyzed in relation to relapse patterns and side effects. Noninvasive salivary prednisolone measurements were performed using a sparse sampling strategy. A population pharmacokinetic approach was used to derive individual estimates of apparent clearance (CL/F) and apparent volume of distribution (V/F) from the salivary concentration-time curve, followed by calculation of the area under the curve (AUC) of free prednisolone. The individual free serum prednisolone exposure from prednisolone in saliva was derived from the salivary concentration-time curves. Genetic polymorphisms of CYP3A4, CYP3A5, ABCB1, NR1L2, and POR were explored in relation to between-subject variability of CL/F. RESULTS Moderate interindividual variability was found for CL/F (CV, 44.7%). Unexplained random between-subject variability (eta) of CL/F was lower in patients carrying 1 or 2 ABCB1 3435C>T alleles compared to wild type: median -0.04 (interquartile range, -0.17 to 0.21) and 0.00 (-0.11 to 0.16) versus 0.17 (-0.08 to 0.47), P = 0.046. Exposure to free prednisolone was not associated with frequent relapses or adverse effects. CONCLUSIONS This study provides evidence for the possibility of prednisolone drug monitoring through salivary measurements and this may be of particular usefulness in pediatric patients. However, the observed variability in prednisolone exposure, in the therapeutic dose range studied, is not considered to be a major determinant of clinical outcome in children with NS.
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Thevis M, Geyer H, Tretzel L, Schänzer W. Sports drug testing using complementary matrices: Advantages and limitations. J Pharm Biomed Anal 2016; 130:220-230. [DOI: 10.1016/j.jpba.2016.03.055] [Citation(s) in RCA: 73] [Impact Index Per Article: 9.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2016] [Accepted: 03/27/2016] [Indexed: 01/14/2023]
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Alternative matrices for therapeutic drug monitoring of immunosuppressive agents using LC-MS/MS. Bioanalysis 2016; 7:1037-58. [PMID: 25966013 DOI: 10.4155/bio.15.35] [Citation(s) in RCA: 29] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
Immunosuppressive drugs used in solid organ transplants typically have narrow therapeutic windows and high intra- and intersubject variability. To ensure satisfactory exposure, therapeutic drug monitoring (TDM) plays a pivotal role in any successful posttransplant maintenance therapy. Currently, recommendations for optimum immunosuppressant concentrations are based on blood/plasma measurements. However, they introduce many disadvantages, including poor prediction of allograft survival and toxicity, a weak correlation with drug concentrations at the site of action and the invasive nature of the sample collection. Thus, alternative matrices have been investigated. This paper reviews tandem-mass spectrometry (LC-MS/MS) methods used for the quantification of immunosuppressant drugs utilizing nonconventional matrices, namely oral fluids, fingerprick blood and intracellular and intratissue sampling. The advantages, disadvantages and clinical application of such alternative mediums are discussed. Additionally, sample extraction techniques and basic chromatography information regarding these methods are presented in tabulated form.
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Human saliva-based quantitative monitoring of clarithromycin by flow injection chemiluminescence analysis: a pharmacokinetic study. Appl Biochem Biotechnol 2013; 172:1320-31. [PMID: 24166104 DOI: 10.1007/s12010-013-0605-4] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2013] [Accepted: 10/18/2013] [Indexed: 01/30/2023]
Abstract
Human saliva quantitative monitoring of clarithromycin (CLA) by chemiluminescence (CL) with flow injection analysis was proposed for the first time, which was based on the quenching effect of CLA on luminol-bovine serum albumin (BSA) CL system with a linear range from 7.5 × 10(-4) to 2.0 ng/ml. This proposed approach, offering a maximum sample throughput of 100 h(-1), was successfully applied to the quantitative monitoring of CLA levels in human saliva during 24 h after a single oral dose of 250 mg intake, with recoveries of 95.2 ∼ 109.0% and relative standard deviations lower than 6.5 % (N = 7). Results showed that CLA reached maximum concentration of 2.28 ± 0.02 μg/ml at approximately 3 h, and the total elimination ratio was 99.6 % in 24 h. The pharmacokinetic parameters including absorption rate constant (0.058 ± 0.006 h(-1)), elimination rate constant (0.149 ± 0.009 h(-1)) and elimination half-life time (4.66 ± 0.08 h) were obtained. A comparison of human saliva and urine monitoring was also given. The mechanism study of BSA-CLA interaction revealed the binding of CLA to BSA is an entropy driven and spontaneous process through hydrophobic interaction, with binding constant K BSA-CLA of 4.78 × 10(6) l/mol and the number of binding sites n of 0.82 by flow injection-chemiluminescence model. Molecular docking analysis further showed CLA might be in subdomain IIA of BSA, with K BSA-CLA of 6.82 × 10(5) l/mol and ΔG of -33.28 kJ/mol.
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