The Influence of Cardiovascular Physiology on Dose/Pharmacokinetic and Pharmacokinetic/Pharmacodynamic Relationships

Population Pharmacokinetics of Telmisartan in Healthy Subjects and Hypertensive Patients

BACKGROUND AND OBJECTIVE

Telmisartan exhibits significant pharmacokinetic (PK) variability, but it remains unclear whether its PK profile is altered in hypertensive patients. This study aimed to characterize telmisartan PKs by conducting a meta-analysis and developing a pooled population PK model based on data from healthy subjects and hypertensive patients.

METHODS

Relevant literature was identified by a systematic approach. Eighteen studies were selected for analysis, which included 394 healthy subjects receiving single doses of telmisartan, 190 healthy subjects receiving repeated doses, along with 295 hypertensive patients receiving repeated doses. Pooled population PK analysis incorporated 20 mean concentration-time profiles from 14 studies. Meta-analyses were performed using OpenMeta-Analyst, and population PK modeling was performed using NONMEM®.

RESULTS

Repeated telmisartan doses increased peak plasma concentrations. However, other noncompartmental PK parameters remained consistent across healthy and hypertensive populations. Telmisartan PKs were best described using a two-compartment model with first-order absorption and elimination in pooled analysis. Typical PK parameter values for apparent clearance (CL/F), apparent central and peripheral volumes of distribution (V1/F and V2/F), absorption rate constant (ka), and absorption lag time were 18.3 L/h, 20.7 L, 360 L, 0.183 h-1 and 0.228 h, respectively. Interindividual variabilities in CL/F, V1/F, and ka were 84%, 122%, and 106%, respectively. Covariate analysis revealed significantly lower CL/F (63.7%) and V1/F (90.3%) values in hypertensive patients than healthy subjects.

CONCLUSION

These findings quantified the variability of telmisartan PK profile and highlighted the differences between healthy individuals and hypertensive patients, suggesting the need for optimized dosage strategies to improve therapeutic outcomes.

Tissue Drug Concentration

Blood flow enables the delivery of oxygen and nutrients to the different tissues of the human body. Drugs follow the same route as oxygen and nutrients; thus, drug concentrations in tissues are highly dependent on the blood flow fraction delivered to each of these tissues. Although the free drug concentration in blood is considered to correlate with pharmacodynamics, the pharmacodynamics of a drug is actually primarily commanded by the concentrations of drug in the aqueous spaces of bodily tissues. However, the concentrations of drug are not homogeneous throughout the tissues, and they rarely reflect the free drug concentration in the blood. This heterogeneity is due to differences in the blood flow fraction delivered to the tissues and also due to membrane transporters, efflux pumps, and metabolic enzymes. The rate of drug elimination from the body (systemic elimination) depends more on the driving force of drug elimination than on the free concentration of drug at the site from which the drug is being eliminated. In fact, the actual free drug concentration in the tissues results from the balance between the input and output rates. In the present paper, we develop a theoretical concept regarding solute partition between intravascular and extravascular spaces; discuss experimental research on aqueous/non-aqueous solute partitioning and clinical research on microdialysis; and present hypotheses to predict in-vivo elimination using parameters of in-vitro metabolism.

Development of a Population Pharmacokinetic Model for Cyclosporine from Therapeutic Drug Monitoring Data

Aim

To develop a population pharmacokinetic model for Uruguayan patients under treatment with cyclosporine (CsA) that can be applied to TDM. Patients and Methods. A total of 53 patients under treatment with CsA were included. 37 patients with at least one pharmacokinetic profile described with four samples were considered for model building, while the remaining 16 were considered for the assessments of predictive performances. Pharmacokinetic parameter estimation was performed using a nonlinear mixed effect modelling implemented in the Monolix® software (version 2019R1, Lixoft, France); meanwhile, simulations were performed in R v.3.6.0 with the mlxR package.

Results

A two-compartment model with a first-order disposition model including lag time was used as a structural model. The final model was internally validated using prediction corrected visual predictive check (pcVPC) and other graphical diagnostics. A total of 621 CsA steady-state concentrations were analyzed for model development. Population estimates for the absorption constant (ka) and lag time were 0.523 h⁻¹ and 0.512 h, respectively; apparent clearance (CL/F) was 30.3 L/h (relative standard error [RSE] ± 8.25%) with an interindividual variability of 39.8% and interoccasion variability of 38.0%; meanwhile, apparent clearance of distribution (Q/F) was 17.0 L/h (RSE ± 12.1%) with and interindividual variability of 53.2%. The covariate analysis identified creatinine clearance (ClCrea) as an individual factor influencing the Cl of CsA. The predictive capacity of the population model was demonstrated to be effective since predictions made for new patients were accurate for C1 and C2 (MPPEs below 50%). Bayesian forecasting improved significantly in the second and third occasions.

Conclusion

A population pharmacokinetic model was developed to reasonably estimate the individual cyclosporine clearance for patients. Hence, it can be utilized to individualize CsA doses for prompt and adequate achievement of target blood concentrations of CsA.

Intraperitoneal clearance as a potential biomarker of cisplatin after intraperitoneal perioperative chemotherapy: a population pharmacokinetic study

Background:

Intraperitoneal (IP) perioperative chemotherapy with cisplatin is an interesting option in ovarian cancer treatment. A combination of cisplatin with IP epinephrine (already shown to improve IP and decrease systemic platinum (Pt) exposure) was evaluated using a population pharmacokinetic analysis.

Methods:

Data from 55 patients treated with cisplatin-based IP perioperative chemotherapy with (n=26) or without (n=29) epinephrine were analysed using NONMEM.

Results:

Epinephrine halves clearance between peritoneum and serum (IPCL) and increases the Pt central volume of distribution, IP exposure and penetration in tissue. IPCL has a better predictive value than any other parameter with respect to renal toxicity.

Conclusion:

This confirms that IPCL could be useful in assessing renal toxicity. As IPCL is also linked to tissue penetration and IP exposure, it may be proposed as biomarker. In addition to a Bayesian estimation, we propose a single-sample calculation-way to assess it. Prospective studies are needed to validate IPCL as a biomarker in this context.

Influence of efflux transporters on drug metabolism: theoretical approach for bioavailability and clearance prediction

Cytochrome P450 enzymes and efflux transporters, expressed in the intestine and/or in the liver, play important roles in drug clearance and oral bioavailability. The relative contribution of transporters and enzymes in drug metabolism is still controversial. Some antiepileptic drugs, such as carbamazepine, phenytoin and phenobarbital (phenobarbitone), show time-dependent and dose-dependent pharmacokinetics due to their inductive effect on both efflux transporters and enzymes. However, steady-state plasma drug concentrations for each antiepileptic drug do not relate to oral daily dose in the same way, with decreased or increased apparent clearance according to the drug. A multicompartment pharmacokinetic model was developed in order to explain these different behaviours using a single mechanism of inductive action. The key for solving these apparent dissimilarities was to consider in the model the unique physiological connection that intestine, liver and bloodstream have. Efflux transporters not only enhance enzymatic competition in relation to first-order processes, but also change the predominance of some elimination routes. For instance, the carbamazepine-10,11-epoxide formation increases at the expense of other carbamazepine metabolites, enhancing both the systemic and presystemic elimination of parent drug. Conversely, the major hepatic metabolism of phenytoin diminishes in favour of its minor intestinal elimination, decreasing the total drug clearance.

Gender and circadian effects of myocardial infarctions

This study determines if there are differences in circadian effects of myocardial infarctions (MIs) and MI type, non-ST elevation MI (NSTEMI) and ST elevation MI (STEMI), between females and males. A two-group, nonexperimental chart review was conducted. A total of 273 randomly selected patients with an acute MI were included. Data analysis included descriptive statistics, t test and chi square to determine differences between the groups. Of the 109 females, 26% had MI symptoms begin at night, 30% in the morning, 29% in the afternoon, and 15% in the evening (p = .067). In comparison, of the 164 males, 27% had MIs at night, 30% morning, 32% afternoon, and 11% evening (p < .001). There was no circadian difference between females and males and the time of day MI-related symptoms began (p = .887) or a MItype circadian effect (p = 0.466). The majority of patients had MIs during the daytime hours.

Biological rhythms: a neglected factor of variability in pharmacokinetic studies

Biological rhythms may influence drug response (chronopharmacology) and some chronopharmacological studies have underlined the influence of time of day on drug pharmacodynamics and pharmacokinetics. The aim of the present review is to underline how biological rhythms may interfere with drug kinetics and to try to underline when, how, and why taking into account the moment of administration of a drug. Many physiological factors, possibly implicated in different steps of the fate of drugs in the organism (e.g., absorption, distribution, metabolism, and elimination) vary along the 24 h scale. Taking into account biological rhythms in kinetic studies, should be indicated when the concerned drug will be used in a chronobiological disease (e.g., asthma, cancer, depression, hypertension, gastrointestinal diseases, rheumatisms), etc. In case of a drug characterised by a high inter- and intra-variability, a narrow therapeutic range or when the drug will be further used following a once-a-day formulation. It is of importance to rigorously control factors which are known to influence pharmacokinetic processes in chronokinetic studies. Time of day has to be regarded as an additional variable to influence the kinetics of a drug.

The influence of circadian rhythms on the kinetics of drugs in humans

In clinical practice, it is important to consider circadian rhythms in pharmacokinetics and cell responses to therapy in order to design proper protocols for drug administration. Scientists have arrived at this conclusion after several experiments in animals and in humans have clearly demonstrated that all organisms are highly organised according to circadian rhythms. These temporal cycles influence different physiological functions and, consequently, can influence the pharmacokinetic phases of drugs. A drug's pharmacokinetics can be modified according to the time of drug administration. In fact, the circadian changes of > 100 different compounds have been documented. The results obtained have led several scientific societies to provide guidelines concerning the timing of drug dosing for anticancer, cardiovascular, respiratory, anti-ulcer, anti-inflammatory, immunosuppressive and antiepileptic drugs. Absorption may be influenced by circadian rhythms and most lipophilic drugs seem to be absorbed faster when the drug is taken in the morning compared with the evening; for water-soluble compounds, no circadian variation in the absorption of drugs has been found. Concerning drug distribution, the higher the blood flow fraction an organ receives, the higher the rate constant for transferring drugs out of the capillaries. This drug pharmacokinetic phase may be influenced by circadian variations in the protein binding of acidic and basic drugs. Drug metabolism may be influenced by daily modifications of blood flow. For drugs with a high extraction ratio, metabolism depends on hepatic blood flow, while that of drugs with a low extraction ratio depends on liver enzyme activity. Hepatic blood flow has been shown to be greatest at 8 am and metabolism seems to be reduced during the night. Finally, concerning drug elimination, the clearance of 'flow-limited' drugs that present a high extraction rate is affected by the blood flow delivered to the organ, independent of the cardiac output fraction supplied. Chronopharmacokinetics can explain individual differences in drug levels revealed by therapeutic drug monitoring and can be used to optimise the management of patients receiving drug therapy.