Precision dosing for patients on tricyclic antidepressants.

OBJECTIVE: We aim to develop a personalized dosing tool for tricyclic antidepressants (TCAs) that integrates CYP2D6 and CYP2C19 gene variants and their effects while also considering the polypharmacy effect. METHODS: The study first adopted a scoring system that assigns weights to each genetic variant. A formula was then developed to compute the effect of both genes' variants on drug dosing. The output of the formula was assessed by a comparison with the clinical pharmacogenetics implementation consortium recommendation. The study also accounts for the effect of the co-administration of inhibitors and inducers on drug metabolism. Accordingly, a user-friendly tool, Clinical Dosing Tool ver.2, was created to assist clinicians in dosing patients on TCAs. RESULTS: The study provides a comprehensive list of all alleles with corresponding activity values and phenotypes for both enzymes. The tool calculated an updated area under the curve ratio that utilizes the effects of both enzymes' variants for dose adjustment. The tool provided a more accurate individualized dosing that also integrates the polypharmacy effect. CONCLUSION: To the best of our knowledge, the literature misses such a tool that provides a numerical adjusted dose based on continuous numerical activity scores for the considered patients' alleles and phenoconversion.

A software tool to adjust codeine dose based on CYP2D6 gene-pair polymorphisms and drug-drug interactions.

Codeine is metabolized by the CYP2D6 enzyme, and individuals with certain genetic variations of the CYP2D6 gene may metabolize codeine differently, leading to variable efficacy and toxicity. Drug-drug interactions can also affect the metabolism of codeine. A tool to adjust codeine dose based on these factors does not currently exist. Healthcare providers should use their clinical judgment and reference different established dosing guidelines to determine the appropriate dose of codeine for individual patients. The study provides a tool that assists prescribers in adjusting codeine dose based on CYP2D6 gene-pair polymorphisms and drug-drug interactions. Highlighted is the need to consider pharmacogenetics and drug-drug interactions when determining the appropriate dosing of codeine and provide a framework for implementing individualized dosing based on these factors.

Association of the ACE and AGT gene polymorphisms with global disparities in COVID-19-related deaths.

OBJECTIVE: The aim of the study was to investigate the gene polymorphisms of angiotensin-converting enzyme (ACE), angiotensinogen (AGT), and angiotensin type 1 receptor (AT1R) in association with coronavirus disease 2019 (COVID-19) mortality rates worldwide. METHODS: The prevalence of ACE I/D, AGT M235T, and AT1R A1166C alleles' frequencies in different populations was assessed. Data on COVID-19-related cases and deaths were acquired from the European Center for Disease Prevention and Control, which included weekly reports by country and continent. An Excel tool was developed to visualize the acquired data of mortality and incidence by classifying them by continent/country across specific periods of time. Spearman's nonparametric correlation was used to evaluate the association between country-based frequencies in RAS gene polymorphisms and COVID-19-related deaths. RESULTS: While China constituted the initial reservoir of COVID-19, incidence/mortality rates in Europe and America outnumbered the figures in the former. A clear association was identified between death rates and ACE D/I ( r = 0.3659; P = 0.033), as well as AGT A/G variants ( r = 0.7576; P = 0.015). Data on AT1R polymorphisms suggested no correlation with mortality rates. CONCLUSION: Our results demonstrated a significant disparity in COVID-19-related susceptibility and mortality among different populations and corroborate the importance of gene polymorphisms in predicting and consequently improving patients' outcomes.

Risk Assessment of Phthalates and Their Metabolites in Hospitalized Patients: A Focus on Di- and Mono-(2-ethylhexyl) Phthalates Exposure from Intravenous Plastic Bags.

Phthalate esters (PAEs) are plasticizers associated with multiple toxicities; however, no strict regulations have been implemented to restrict their use in medical applications in Lebanon. Our study aimed at assessing the potential risks correlated with phthalate exposure from IV bags manufactured in Lebanon. GC-MS analysis showed that di-(2-ethylhexyl) phthalate (DEHP) is the predominant phthalate found in almost all samples tested with values ranging from 32.8 to 39.7% w/w of plastic. DEHP concentrations in the IV solutions reached up to 148 µg/L, as measured by SPME-GC-MS/MS, thus resulting in hazard quotients greater than 1, specifically in neonates. The toxicity of DEHP is mainly attributed to its metabolites, most importantly mono-(2-ethylhexyl) phthalate (MEHP). The IV bag solution with the highest content in DEHP was therefore used to extrapolate the amounts of urinary MEHP. The highest concentrations were found in neonates having the lowest body weight, which is concerning, knowing the adverse effects of MEHP in infants. Our study suggests that the use of IV bags manufactured in Lebanon could pose a significant risk in hospitalized patients, especially infants in neonatal care. Therefore, Lebanon, as well as other countries, should start imposing laws that restrict the use of phthalates in medical IV bags and substitute them with less toxic plasticizers.