High feasibility of salivary therapeutic drug monitoring in linezolid, but less in tedizolid: A single-dose study in healthy subjects
Kawasuji, H.; Tsuji, Y.; Miyaki, K.; Aoyama, T.; Kurosaki, F.; Ezaki, M.; Koshiyama, Y.; Takegoshi, Y.; Kaneda, M.; Murai, Y.; Kimoto, K.; Nagaoka, K.; Yamamoto, Y.
Show abstract
BackgroundSalivary therapeutic drug monitoring (TDM) offers the potential to reduce the risks, burden, time, and costs of blood-based TDM, but its feasibility in oxazolidinone antibiotics and the influence of food intake remain unknown. MethodsA total of 12 healthy volunteers participated in this study. Linezolid and tedizolid were intravenously administered to 6 participants each. Saliva samples were taken at 15 time points and peripheral venous blood samples were also taken at 12 time points simultaneously with saliva. Total and unbound serum and saliva concentrations of linezolid and tedizolid were measured using high-performance liquid chromatography. ResultsIndividual concentration-time curves in saliva versus serum (total and unbound) were similar in linezolid, but different in tedizolid. Saliva concentrations were significantly correlated with total and unbound serum concentrations in both agents. However, concentrations in each case and area under the concentration-time curve from 0 to 10 h (AUC0-10) in saliva were correlated with those in total or unbound serum for linezolid, but not for tedizolid. The mean saliva-to-serum (total and unbound) concentration and AUC0-10 ratios were 0.90 and 0.90 in total and 1.09 and 0.99 in unbound. Food intake did not influence these correlations in linezolid. ConclusionsThe analysis of linezolid in saliva is applicable for TDM as a promising alternative to conventional serum sampling without correlation factors, but application of tedizolid is less feasible. Easy sampling using a noninvasive technique may facilitate TDM even in underdeveloped countries with limited resources and specific patient categories.
Matching journals
The top 4 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- A freely accessible, adaptable hollow-fiber setup to reproduce first-order absorption: illustration with linezolid cerebrospinal fluid pharmacokinetic data 94%
- Linking CFTR modulators to opportunistic bacterial infections in cystic fibrosis 92%
- Evaluating mono and combination therapy of meropenem and amikacin against Pseudomonas aeruginosa bacteremia in the Hollow-Fiber Infection Model 91%
Similar papers in this journal
- Effects of a rifampicin pre-treatment on linezolid pharmacokinetics 94%
- Stability of extemporaneously compounded amiloride nasal spray 93%
- Clinical safety and pharmacokinetics of a novel oral niclosamide formulation compared with marketed niclosamide chewing tablets in healthy volunteers: a three-part randomized, double-blind, placebo-controlled trial 92%
Similar papers in this journal
- Evaluation of Dose Fractionated Polymyxin B on Acute Kidney Injury: A Translational In Vivo Model 93%
- Predicting the Disposition of the Antimalarial Drug Artesunate and its Active Metabolite Dihydroartemisinin Using Physiologically-Based Pharmacokinetic Modeling 92%
- Population Pharmacokinetics and Target Attainment Analysis of Vancomycin after Intermittent Dosing in Adults with Cystic Fibrosis 92%
Similar papers in this journal
- Detailed Analysis of Surface Infection Barrier on Hands: Relationship with Morbidity to Infection Diseases and Identification of Antimicrobial Components 93%
- High-resolution fecal pharmacokinetic modeling in mice with orally administered antibiotics 93%
- Bridging the gap between in silico and in vivo: modeling opioid disposition in a kidney proximal tubule microphysiological system 91%
Similar papers in this journal
- Atovaquone for Treatment of COVID-19: A Prospective Randomized, Double-Blind, Placebo-Controlled Clinical Trial 93%
- CETP inhibitor evacetrapib enters mouse brain tissue 92%
- Pharmacokinetics of caffeine: A systematic analysis of reported data for application in metabolic phenotyping and liver function testing 91%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.