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      Coproporphyrin I as an Endogenous Biomarker to Detect Reduced OATP1B Activity and Shift in Elimination Route in Chronic Kidney Disease

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          Abstract

          Coproporphyrin I (CPI) is an endogenous biomarker of organic anion transporting polypeptide 1B transporter (OATP1B). CPI plasma baseline was reported to increase with severity of chronic kidney disease (CKD). Further, ratio of CPI area under the plasma concentration‐time curve (AUCR) in the presence/absence of OATP1B inhibitor rifampin was higher in patients with CKD compared with healthy participants, in contrast to pitavastatin (a clinical OATP1B probe). This study investigated mechanism(s) contributing to altered CPI baseline in patients with CKD by extending a previously developed physiologically‐based pharmacokinetic (PBPK) model to this patient population. CKD‐related covariates were evaluated in a stepwise manner on CPI fraction unbound in plasma ( f u,p ), OATP1B‐mediated hepatic uptake clearance ( CL active ), renal clearance ( CL R ), and endogenous synthesis ( k syn ). The CPI model successfully recovered increased baseline and rifampin‐mediated AUCR in patients with CKD by accounting for the following disease‐related changes: 13% increase in f u,p , 29% and 39% decrease in CL active in mild and moderate to severe CKD, respectively, decrease in CL R proportional to decline in glomerular filtration rate, and 27% decrease in k syn in severe CKD. Almost complete decline in CPI renal elimination in severe CKD increased its fraction transported by OATP1B, rationalizing differences in the CPI–rifampin interaction observed between healthy participants and patients with CKD. In conclusion, mechanistic modeling performed here supports CKD‐related decrease in OATP1B function to inform prospective PBPK modeling of OATP1B‐mediated drug‐drug interaction in these patients. Monitoring of CPI allows detection of CKD–drug interaction risk for OATP1B drugs with combined hepatic and renal elimination which may be underestimated by extrapolating the interaction risk based on pitavastatin data in healthy participants.

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          Association of kidney function with anemia: the Third National Health and Nutrition Examination Survey (1988-1994).

          Kidney failure is known to cause anemia, which is associated with a higher risk of cardiac failure and mortality. The impact of milder decreases in kidney function on hemoglobin levels and anemia in the US population, however, is unknown. We analyzed a population-based sample of 15419 participants 20 years and older in the Third National Health and Nutrition Examination Survey, conducted from 1988 to 1994. Lower kidney function was associated with a lower hemoglobin level and a higher prevalence and severity of anemia below, but not above, an estimated glomerular filtration rate (GFR) of 60 mL/min per 1.73 m(2). Adjusted to the age of 60 years, the predicted median hemoglobin level among men (women) decreased from 14.9 (13.5) g/dL at an estimated GFR of 60 mL/min per 1.73 m(2) to 13.8 (12.2) g/dL at an estimated GFR of 30 mL/min per 1.73 m(2) and to 12.0 (10.3) g/dL at an estimated GFR of 15 mL/min per 1.73 m(2). The prevalence of anemia (hemoglobin level <12 g/dL in men and <11 g/dL in women) increased from 1% (95% confidence interval, 0.7%-2%) at an estimated GFR of 60 mL/min per 1.73 m(2) to 9% (95% confidence interval, 4%-19%) at an estimated GFR of 30 mL/min per 1.73 m(2) and to 33% (95% confidence interval, 11%-67%) at an estimated GFR of 15 mL/min per 1.73 m(2) among men and to 67% (95% confidence interval, 30%-90%) at an estimated GFR of 15 mL/min per 1.73 m(2) among women. An estimated GFR of 15 to 60 mL/min per 1.73 m(2) was present in 4% of the entire population and in 17% of the individuals with anemia. Below an estimated GFR of 60 mL/min per 1.73 m(2), lower kidney function is strongly associated with a higher prevalence of anemia among the US adult population.
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            Modeling and predicting drug pharmacokinetics in patients with renal impairment.

            Current guidance issued by the US FDA to assess the impact of renal impairment on the pharmacokinetics of a drug under development has recently been updated to include evaluation of drugs with nonrenal elimination routes. Renal impairment not only affects elimination of the drug in the kidney, but also the nonrenal route of drugs that are extensively metabolized in the liver. Renal failure may influence hepatic drug metabolism either by inducing or suppressing hepatic enzymes, or by its effects on other variables such as protein binding, hepatic blood flow and accumulation of metabolites. Prior simulation of the potential exposure of individuals with renal impairment may help in the selection of a safe and effective dosage regimen. In this article, we discuss the application of a systems biology approach to simulate drug disposition in subjects with renal impairment.
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              Clinical Pharmacokinetics in Kidney Disease

              Kidney disease is an increasingly common comorbidity that alters the pharmacokinetics of many drugs. Prescribing to patients with kidney disease requires knowledge about the drug, the extent of the patient's altered physiology, and pharmacokinetic principles that influence the design of dosing regimens. There are multiple physiologic effects of impaired kidney function, and the extent to which they occur in an individual at any given time can be difficult to define. Although some guidelines are available for dosing in kidney disease, they may be on the basis of limited data or not widely applicable, and therefore, an understanding of pharmacokinetic principles and how to apply them is important to the practicing clinician. Whether kidney disease is acute or chronic, drug clearance decreases, and the volume of distribution may remain the same or increase. Although in CKD, these changes progress relatively slowly, they are dynamic in AKI, and recovery is possible depending on the etiology and treatments. This, and the use of kidney replacement therapies further complicate attempts to quantify drug clearance at the time of prescribing and dosing in AKI. The required change in the dosing regimen can be estimated or even quantitated in certain instances through the application of pharmacokinetic principles to guide rational drug dosing. This offers an opportunity to provide personalized medical care and minimizes adverse drug events from either under- or overdosing. We discuss the principles of pharmacokinetics that are fundamental for the design of an appropriate dosing regimen in this review.
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                Author and article information

                Contributors
                aleksandra.galetin@manchester.ac.uk
                Journal
                Clin Pharmacol Ther
                Clin Pharmacol Ther
                10.1002/(ISSN)1532-6535
                CPT
                Clinical Pharmacology and Therapeutics
                John Wiley and Sons Inc. (Hoboken )
                0009-9236
                1532-6535
                28 June 2022
                September 2022
                28 June 2022
                : 112
                : 3 ( doiID: 10.1002/cpt.v112.3 )
                : 615-626
                Affiliations
                [ 1 ] Centre for Applied Pharmacokinetic Research Division of Pharmacy and Optometry School of Health Sciences, Faculty of Biology, Medicine and Health University of Manchester Manchester UK
                [ 2 ] Development Planning, Clinical Development Center Asahi Kasei Pharma Corporation Tokyo Japan
                [ 3 ] ADME and Discovery Toxicology Merck & Co., Inc. Kenilworth New Jersey USA
                [ 4 ] Quantitative Pharmacology and Pharmacometrics Merck & Co., Inc. Kenilworth New Jersey USA
                Author notes
                [*] [* ]Correspondence: Aleksandra Galetin ( aleksandra.galetin@ 123456manchester.ac.uk )
                Author information
                https://orcid.org/0000-0002-4656-4712
                https://orcid.org/0000-0001-9144-3824
                https://orcid.org/0000-0003-2446-6895
                https://orcid.org/0000-0002-3933-5217
                Article
                CPT2672 2022-0019
                10.1002/cpt.2672
                9540787
                35652251
                34eb0472-a36d-48ec-9d44-9ddfedbb5487
                © 2022 The Authors. Clinical Pharmacology & Therapeutics published by Wiley Periodicals LLC on behalf of American Society for Clinical Pharmacology and Therapeutics.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.

                History
                : 13 January 2022
                : 22 May 2022
                Page count
                Figures: 5, Tables: 1, Pages: 12, Words: 7815
                Funding
                Funded by: Asahi Kasei Pharma Corporation , doi 10.13039/100010740;
                Categories
                September 2022: Transporters
                Article
                Research
                Articles
                Custom metadata
                2.0
                September 2022
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.2.0 mode:remove_FC converted:07.10.2022

                Pharmacology & Pharmaceutical medicine
                Pharmacology & Pharmaceutical medicine

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