Feasibility of Using Oral Fluid for Therapeutic Drug Monitoring of Antiepileptic Drugs

A study of the pharmacokinetics of clozapine and its metabolites by the dynamics of its distribution in the oral fluid of healthy volunteers

Clozapine (CLZ) -related accidents or crimes are common in the world. Oral fluid drug detection is a convenient measure of dealing with things like that. There has not been any literature reported detailedly the representation rule of clozapine and its metabolites in oral fluid so far. The study aimed to describe the pharmacokinetics of CLZ and its metabolites N-desmethylclozapine and clozapine-N-oxide in human oral fluid after a single 12.5 mg oral dose of CLZ. Twenty-nine volunteers, including 20 males and 9 females, were recruited, and 2 mL oral fluid was collected from each participant at post-consumption time-points of prior (zero), 0.5, 1.5, 3, 5, 8, 12, 24, 36, 51, 82, and 130 h, respectively. Analytes of interest were extracted with solid-phase extraction and analyzed with liquid chromatography tandem mass spectrometry method. Pharmacokinetic parameters were calculated using the pharmacokinetic software DAS according to the non-compartment model. The maximum concentration, the time of maximum concentration, oral clearance, and the elimination half-life of clozapine were 16.57 ± 9.63 ng/mL, 4.53 ± 3.61 h, 57.65 ± 23.77 L/h and 53.58 ± 52.28 h, respectively. The maximum concentration, the time of maximum concentration, and the elimination half-life of the metabolite N-desmethylclozapine were 3.08 ± 1.19 ng/mL, 9.38 ± 9.33 h and 62.67 ± 82.57 h, respectively; of clozapine-N-oxide were 1.15 ± 0.36 ng/mL, 4.53 ± 2.19 h and 19.15 ± 23.11 h, respectively. It was the first study on the pharmacokinetics of CLZ and its metabolites in the oral fluid of Chinese healthy volunteers, and it provided a basis for the therapeutic drug monitoring and toxicological interpretation in clozapine-related cases.

Can we Predict Drug Excretion into Saliva? A Systematic Review and Analysis of Physicochemical Properties

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.

Assessment of the toxic effects of levetiracetam on biochemical, functional, and redox parameters of salivary glands in male Wistar rats

Levetiracetam (LEV) is an anticonvulsant for epilepsy. The toxic effects of this medication in tissues have been associated with redox state imbalance, which can lead to salivary gland dysfunction. Therefore, the current work investigated the effects of LEV on the biochemical, functional, and redox parameters of the parotid and submandibular glands in rats. For this, male Wistar rats (Rattus norvegicus albinus) were randomly divided into 3 groups (n = 10/group): Control (0.9% saline solution), LEV100 (100 mg/kg), and LEV300 (300 mg/kg). After 21 consecutive days of intragastric gavage treatments, pilocarpine stimulated saliva secretion was collected for salivary biochemical analysis. The extracted salivary glands were utilized for histomorphometry and redox state analyses. Our results showed that LEV300 increased plasma hepatotoxicity markers and reduced salivary amylase activity and the acinar surface area of the parotid gland. Total oxidant capacity and oxidative damage to lipids and proteins were higher in the parotid gland, while total antioxidant capacity and uric acid levels were reduced in the submandibular gland of the LEV100 group compared to Control. On the other hand, total oxidant capacity, oxidative damage to lipids and proteins, total antioxidant capacity, and uric acid levels were lower in both salivary glands of the LEV300 group compared to Control. Superoxide dismutase and glutathione peroxidase activities were lower in the salivary glands of treated animals compared to Control. In conclusion our data suggest that treatment with LEV represents a potentially toxic agent, that contributes to drug-induced salivary gland dysfunction.

Salivary Biomarkers of Anti-Epileptic Drugs: A Narrative Review

Saliva is a biofluid that reflects general health and that can be collected in order to evaluate and determine various pathologies and treatments. Biomarker analysis through saliva sampling is an emerging method of accurately screening and diagnosing diseases. Anti-epileptic drugs (AEDs) are prescribed generally in seizure treatment. The dose-response relationship of AEDs is influenced by numerous factors and varies from patient to patient, hence the need for the careful supervision of drug intake. The therapeutic drug monitoring (TDM) of AEDs was traditionally performed through repeated blood withdrawals. Saliva sampling in order to determine and monitor AEDs is a novel, fast, low-cost and non-invasive approach. This narrative review focuses on the characteristics of various AEDs and the possibility of determining active plasma concentrations from saliva samples. Additionally, this study aims to highlight the significant correlations between AED blood, urine and oral fluid levels and the applicability of saliva TDM for AEDs. The study also focuses on emphasizing the applicability of saliva sampling for epileptic patients.

Comparison of free plasma versus saliva mycophenolic acid exposure following mycophenolate mofetil administration in adult kidney transplant recipients

Therapeutic monitoring (TDM) of mycophenolic acid (MPA) has the potential to improve drug inefficacy and toxicities in kidney transplantation. However, measurement of plasma MPA concentrations is laborious and invasive. This study examined the utility of saliva compared with plasma based TDM of MPA. Paired blood and saliva samples were collected from 47 adult kidney transplant recipients pre- and at 1-, 2-, and 4-hours post mycophenolate mofetil administration. No relationship was observed between saliva MPA concentrations and either total or free plasma MPA concentrations (p > 0.05). This suggests that saliva is a poor direct marker of plasma MPA concentrations and therefore should not be used for MPA TDM.