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Poly(adenosine diphosphate [ADP]-ribose) polymerase inhibitors (PARPi) are metabolized either via carboxylesterase (niraparib) or cytochrome P450 (CYP) enzymes (olaparib and rucaparib). Patients with advanced epithelial ovarian cancer (aOC) who receive concomitant medication metabolized by the CYP system may be at risk of drug-drug interactions impacting PARPi efficacy and tolerability. This study investigated CYP inhibitor/inducer treatment patterns in the first-line maintenance (1Lm) setting for patients with aOC. This retrospective cohort study used de-identified databases of US patients with aOC. Eligible patients were aged ≥18 years, diagnosed with aOC between January 2015-March 2021, and received CYP inhibitors/inducers during 1Lm PARPi initiation or the eligibility window (90 days before to 120 days after first-line platinum-based therapy ended [index]). Patients were either prescribed 1Lm PARPi monotherapy (PARPi cohort) or were not prescribed any 1Lm therapy within 120 days post-index (PARPi-eligible cohort). Strong/moderate CYP inhibitors/inducers were defined as area under the plasma concentration-time curve ratio (AUCR) ≥2 or clearance ratio (CL) ≤0.5 (inhibitors), and AUCR ≤0.5 or CL ratio ≥2 (inducers). Of 1411 patients (median age 63), 158 were prescribed PARPis and 1253 were PARPi-eligible. Among the PARPi cohort, 46.2%, 48.7%, and 5.1% were prescribed niraparib, olaparib, and rucaparib, respectively. For patients prescribed olaparib or rucaparib, 42.4% also received strong and/or moderate CYP inhibitors/inducers. This real-world study indicated a considerable proportion of patients received strong and/or moderate CYP inhibitors/inducers and were prescribed PARPis metabolized by the CYP system. Understanding potential impacts of concomitant CYP inhibitors/inducers on PARPi efficacy and safety is warranted.

Traditional Chinese medicine (TCM) is considered to be one of the most comprehensive and influential form of traditional medicine. It plays an important role in clinical treatment and adjuvant therapy for cancer. However, the complex composition of TCM presents challenges to the comprehensive and systematic understanding of its antitumor mechanisms, which hinders further development of TCM with antitumor effects. Omics technologies can immensely help in elucidating the mechanism of action of drugs. They utilize high-throughput sequencing and detection techniques to provide deeper insights into biological systems, revealing the intricate mechanisms through which TCM combats tumors. Multi-omics approaches can be used to elucidate the interrelationships among different omics layers by integrating data from various omics disciplines. By analyzing a large amount of data, these approaches further unravel the complex network of mechanisms underlying the antitumor effects of TCM and explain the mutual regulations across different molecular levels. In this study, we presented a comprehensive overview of the recent progress in single-omics and multi-omics research focused on elucidating the mechanisms underlying the antitumor effects of TCM. We discussed the significance of omics technologies in advancing research on the antitumor properties of TCM and also provided novel research perspectives and methodologies for further advancing this research field. [ABSTRACT FROM AUTHOR]

This review article provides an in-depth examination of various aspects related to tirzepatide, a synthetic peptide given the positive signal by the "United States Food and Drug Administration" for managing type 2 diabetes. Beginning with an overview of diabetes introduction, epidemiology, and issues related to β-cell dysfunction, is explored in the narrative. It further delves into the significance of incretins in the context of diabetes and introduces tirzepatide as a novel "twincretin" owing to its dual agonistic activity on the glucagon-like peptide 1 (GLP-1) and gastric inhibitory polypeptide (GIP) receptors. The document delves into the chemistry and structure of tirzepatide, providing insights into its unique composition of 39 amino acids derived from native GLP-1, GIP, and semaglutide sequences. Tirzepatide's pharmacology, with a focus on its pharmacokinetic characteristics, and its mechanism of action (MOA) are extensively discussed. Notably, tirzepatide exhibits a preference for GIP receptors, leading to effective reduction of hyperglycemia and positive effects on pancreatic β-cells. Clinical trials examining tirzepatide's impact on glycemic and obesity control are detailed, demonstrating its efficacy in reducing body weight and appetite. Furthermore, the review article explores tirzepatide's effects on cardiovascular and kidney function, highlighting potential renal benefits for diabetic and elevated cardiovascular risk individuals. The narrative also addresses the association between tirzepatide and NAFLD, emphasizing potential benefits in mitigating NAFLD outcomes. Additionally, a comprehensive overview of tirzepatide's side effects, supported by scientific trials, is presented in this article. In conclusion, this review article provides a thorough examination of tirzepatide's multifaceted impact on diabetes management, shedding light on its pharmacological properties, clinical implications, and potential side effects. The information presented contributes to a comprehensive understanding of tirzepatide's role in the evolving landscape of T2D therapeutics. [ABSTRACT FROM AUTHOR]

Objectives Methods Results Conclusions People living with HIV face several challenges as they age, including the potential for polypharmacy and increased susceptibility to drug‐related adverse effects. Thus, effective and well‐tolerated regimens with minimal or no drug interactions would be useful in this population. We present real‐world effectiveness and safety data for individuals aged >50 years who achieved virological suppression (HIV‐1 RNA <50 copies/mL) and switched to dolutegravir/lamivudine (DTG/3TC).This retrospective, observational, single‐centre study conducted in Portugal included individuals aged >50 years who switched to DTG/3TC while virologically suppressed and had ≥12 months of follow‐up. Proportions of individuals maintaining virological suppression were described at 12 months; CD4+ cell counts were described at baseline and 12 months. Descriptive subgroup analyses were performed based on age, sex assigned at birth, and availability of historical genotypic resistance results.Overall, 538 individuals aged >50 years were included (74% male; mean age, 62 years; mean time on previous therapy, 160 months). High proportions (intention‐to‐treat population, 97%; on‐treatment population, 98%) of individuals who switched to DTG/3TC maintained virological suppression through 12 months of follow‐up. CD4+ cell counts remained stable (mean baseline: 727 cells/mm3 [range 94–2371]; mean month 12: 742 cells/mm3 [range 99–2659]). No individuals experienced virological failure. Nine (2%) individuals discontinued DTG/3TC for non–treatment‐related reasons. Proportions with virological suppression at month 12 were similar between on‐treatment subgroups by age, sex assigned at birth, and historical genotypic resistance results availability.DTG/3TC demonstrated robust effectiveness and a good safety profile in individuals aged >50 years with virological suppression in Portugal. [ABSTRACT FROM AUTHOR]

Background: Transcriptomics can reveal much about cellular activity, and cancer transcriptomics have been useful in investigating tumor cell behaviors. Patterns in transcriptome-wide gene expression can be used to investigate biological mechanisms and pathways that can explain the variability in patient response to cancer therapies. Methods: We identified gene expression patterns related to patient drug response by clustering tumor gene expression data and selecting from the resulting gene clusters those where expression of cluster genes was related to patient survival on specific drugs. We then investigated these gene clusters for biological meaning using several approaches, including identifying common genomic locations and transcription factors whose targets were enriched in these clusters and performing survival analyses to support these candidate transcription factor-drug relationships. Results: We identified gene clusters related to drug-specific survival, and through these, we were able to associate observed variations in patient drug response to specific known biological phenomena. Specifically, our analysis implicated 2 stem cell-related transcription factors, HOXB4 and SALL4, in poor response to temozolomide in brain cancers. In addition, expression of SNRNP70 and its targets were implicated in cetuximab response by 3 different analyses, although the mechanism remains unclear. We also found evidence that 2 cancer-related chromosomal structural changes may impact drug efficacy. Conclusion: In this study, we present the gene clusters identified and the results of our systematic analysis linking drug efficacy to specific transcription factors, which are rich sources of potential mechanistic relationships impacting patient outcomes. We also highlight the most promising of these results, which were supported by multiple analyses and by previous research. We report these findings as promising avenues for independent validation and further research into cancer treatments and patient response. [ABSTRACT FROM AUTHOR]

Background: Dermatophytosis, a prevalent fungal infection, often exhibits treatment failure. It poses ongoing public health concerns, urging exploration of alternative treatment strategies. This study examines eucalyptol's in vitro activity and its interaction with antifungal agents against dermatophyte isolates. Methods: Overall, 489 patients clinically suspected of dermatophytosis were investigated, and the causative agents were molecularly identified. The antifungal activity of eucalyptol, itraconazole, terbinafine, and griseofulvin was assessed according to the guideline of the Clinical and Laboratory Standards Institute (CLSI M38 ed3). The interaction between eucalyptol and the aforementioned antifungals was determined using a checkerboard method. Results: Dermatophytosis was confirmed in 30 out of 489 (6.13%) patients, with a female-to-male ratio of 3:2 and an age range of 8–67 years. The most commonly observed clinical manifestation was tinea corporis (34.21%), and Trichophyton indotineae (n = 14, 46%) was the most common causative agent. Antifungal susceptibility testing revealed that eucalyptol exhibited antidermatophyte properties with minimum inhibitory concentrations (MIC) ranging from 0.78 to 25 mg/mL. Itraconazole demonstrated the lowest geometric mean (GM) value (MIC range: 0.0019–0.25 µg/mL, GM: 0.015 µg/mL), while griseofulvin exhibited the highest GM value (MIC range: 0.125–8 µg/mL, GM: 2.37 µg/mL). The in vitro interaction of eucalyptol with antifungal drugs, except for its combination with terbinafine against two Trichophyton tonsurans isolates resulting in synergistic effects, showed indifference (n = 70, 77.77%) and antagonistic types (n = 18, 20%). Conclusion: Among the evaluated antifungals, itraconazole demonstrated the highest effectiveness against clinical isolates, while eucalyptol alone exhibited a more pronounced effect than when combined with antifungal agents. [ABSTRACT FROM AUTHOR]

Rhabdomyolysis was not reported in clinical trials with Sitagliptin alone. However, several reports in the literature on rhabdomyolysis resulted from the interaction between statins and Sitagliptin. In patients with type 2 diabetes and hyperlipidemia, it is expected to co-prescribe statins and Sitagliptin. Herein, we report the case of a 64-year-old woman with rhabdomyolysis should be caused by a drug-drug interaction between Rosuvastatin and Sitagliptin. The patient denied any history of weakness or myalgia during past medical assessments. [ABSTRACT FROM AUTHOR]

Background: Prescribing errors put an enormous burden on health and the economy, claiming implementation of effective methods to prevent/reduce them. Polypharmacy regimens (five or more drugs) are highly prone to unacknowledged prescribing errors, since the complex network of drug-drug interactions, guidelines and contraindications is challenging to be adequately evaluated in the prescription phase, especially if different doctors are involved. Clinical decision support systems aimed at polypharmacy evaluation may be crucial to recognize and correct prescribing errors. Methods: A commercial clinical decision support system (Drug-PIN®) was applied to estimate the frequency of unrecognized prescribing errors in a group of 307 consecutive patients accessing the hospital pre-admission service of the Sant'Andrea Hospital of Rome, Italy, in the period April-June 2023. Drug-PIN® is a two-step system, first scoring the risk (low, moderate or high) associated with a certain therapy-patient pair, then allowing therapy optimization by medications exchanges. We defined prescribing errors as cases where therapy optimization could achieve consistent reduction of the Drug-PIN® calculated risk. Results: Polypharmacy was present in 205 patients, and moderate to high risk for medication harm was predicted by Drug-PIN® in 91 patients (29.6%). In 58 of them (63.7%), Drug-PIN® guided optimization of the therapy could be achieved, with a statistically significant reduction of the calculated therapy-associated risk score. Patients whose therapy cannot be improved have a statistically significant higher number of used drugs. Considering the overall study population, the rate of avoidable prescribing errors was 18.89%. Conclusions: Results suggest that computer-aided evaluation of medication-associated harm could be a valuable and actionable tool to identify and prevent prescribing errors in polypharmacy. We conducted the study in a Hospital pre-admission setting, which is not representative of the general population but represents a hotspot to intercept fragile population, where a consistent fraction of potentially harmful polypharmacy regimens could be promptly identified and corrected by systematic use of adequate clinical decision support tools. [ABSTRACT FROM AUTHOR]

The selection and combination of dose regimens for antimalarials involve complex considerations including pharmacokinetic and pharmacodynamic interactions. In this study, we use immediate ex vivo P. falciparum field isolates to evaluate the effect of cabamiquine and pyronaridine as standalone treatments and in combination therapy. We feed the data into a pharmacometrics model to generate an interaction map and simulate meaningful clinical dose ratios. We demonstrate that the pharmacometrics model of parasite growth and killing provides a detailed description of parasite kinetics against cabamiquine-susceptible and resistant parasites. Pyronaridine monotherapy provides suboptimal killing rates at doses as high as 720 mg. In contrast, the combination of a single dose of 330 mg cabamiquine and 360 mg pyronaridine provides over 90% parasite killing in most of the simulated patients. The described methodology that combines a rapid, 3R-compliant in vitro method and modelling to set meaningful doses for new antimalarials could contribute to clinical drug development. Here the authors use drug susceptibility data from Plasmodium falciparum field isolates in a pharmacometric model to evaluate cabamiquine and pyronaridine efficacy, both individually and in combination. The combined treatment shows over 90% parasite reduction in most simulated cases, providing valuable guidance for clinical dose selection in real-world settings. [ABSTRACT FROM AUTHOR]

Purpose: While nirmatrelvir/ritonavir (NMV-r) has been positioned as a first-line treatment for mild to moderate COVID-19, it has multiple and significant drug-drug interactions (DDIs). The use of NMV-r in Japan has been limited compared to the United States. This study aimed to describe the distribution of DDIs with NMV-r and their management in patients with COVID-19 under the control of a management system for the appropriate use of NMV-r. Methods: A retrospective observational study was conducted at a Japanese university hospital. The management system included a flowchart for selecting antivirals and a list for reviewing DDI management, based on the National Institutes of Health guidelines and the guidance of the Japanese Society of Pharmaceutical Health Care and Sciences. Patients with mild to moderate COVID-19 and prescribed NMV-r or molnupiravir (MOV) were included. The primary outcome was DDI management practices, including the selected COVID-19 medications. The secondary outcome included the distribution of DDI classification and the 30-day all-cause mortality. Results: This study included 241 patients (median age of 60 years, 112 [46.5%] females), of whom 126 and 115 received NMV-r and MOV, respectively. Of the 241 patients, 145 (60.2%) received concomitant medications that have DDIs with NMV-r. All 30 patients with severe renal impairment or insufficient details on concomitant medications received MOV. Forty-nine patients with concomitant medications required alternative COVID-19 therapy consideration due to DDIs, of whom 42 (85.7%) patients received MOV. Eighty-one patients had concomitant medications requiring temporary adjustment, of whom 44 (54.3%) patients received NMV-r, and 42 of these patients temporarily adjusted these concomitant medications. Five patients with concomitant medications that can continued by monitoring the effects/adverse effects, of whom 4 (80.0%) patients received NMV-r. Seventy-six patients without concomitant medications requiring DDI management, of whom 71 (93.4%) patients received NMV-r. The 30-day all-cause mortality for eligible patients was 0.9% [95% confidence interval, 0.1–3.1]. Conclusions: Most patients received appropriate antivirals according to the classification of DDIs, and most patients with concomitant medications requiring temporary adjustment received the recommended DDI management. Our management system is effective in promoting the use of NMV-r in the appropriate patients and managing problematic DDIs. [ABSTRACT FROM AUTHOR]

Background We investigated the impact of Drug–Drug Interactions (DDIs) on virologic control among HIV-positive pregnant women initiating antiretroviral therapy while identifying drivers for Traditional Medicine (TM) use and exploring the nature and extent of TM-related DDIs. Methods Employing a three-pronged approach, we examined DDIs arising from comedication, including TM, in ART. The DolPHIN-2 trial (NCT03249181) randomized 268 HIV-positive pregnant women in Uganda and South Africa to dolutegravir (DTG)-based (135) or efavirenz-based (133) regimens while systematically recording comedications and screening for DDIs. We used Cox regression models to compare time-to-virologic control between participants with and without DDIs. We conducted in-depth interviews and focus group discussions among 37 and 67 women with and without HIV, respectively, to explore reasons for TM use during pregnancy. Additionally, in-vitro and in-vivo studies evaluated the composition and impact of clay-based TM, mumbwa , on DTG plasma exposure. Results The baseline prevalence of DDIs was 67.2%, with TM use prevalent in 34% of participants, with mumbwa being the most frequent (76%, 69/91). There was no difference in virologic response between participants with and without DDIs. Fetal health and cultural norms were among the reasons cited for TM use. Analysis of mumbwa rods confirmed significant amounts of aluminium (8.4%–13.9%) and iron (4%–6%). In Balb-C mice, coadministration of mumbwa led to a reduction in DTG exposure observed in the AUC0-24 (−21%; P  = 0.0271) and C24 (−53%; P  = 0.0028). Conclusions The widespread use of clay-based TM may compromise HIV treatment, necessitating medication screening and counselling to manage DDIs in pregnant women. [ABSTRACT FROM AUTHOR]

Objectives To evaluate polypharmacy, anticholinergic burden (ACB) and drug–drug interactions (DDIs) in people with four-class-resistant HIV (4DR-PWH). Methods We performed a cross-sectional study, including 4DR-PWH from the PRESTIGIO Registry taking at least one non-antiretroviral drug. Polypharmacy was defined as taking five or more non-antiretroviral drugs. ACB was calculated using the ACB scale: 0 = no AC effect, 1–2 = low/moderate risk, ≥3 = high AC risk. Participants' characteristics by ACB score were compared using the Kruskal–Wallis test, and Spearman's correlation coefficient was used to assess linear relationships. DDIs were evaluated using the Liverpool database. Results Overall, 172 4DR-PLWH were evaluated: 75.6% males, median age 49.9 years (IQR = 45.6–56), 62 (27.1%) on polypharmacy, 124 (72.1%) using a boosting agent and 72 (41.8%) with four or more antiretrovirals. Based on ACB, 128 (74.45%), 33 (19.2%) and 11 (6.4%) had a no, low/moderate and high AC risk, respectively. The most common AC drugs were β-blockers (12.2%), diuretics (8.7%) and antidepressants (8.7%). The high ACB was significantly related to the number of drugs/person (r  = 0.33, P  <   0.0001) and the number of clinical events (r  = 0.222, P  = 0.004). Overall, 258 DDIs were found between antiretrovirals and co-medications in 115 (66.8%) PWH, and 14 (8.1%) PWH received contraindicated drug combinations. Conclusions In 4DR-PWH, polypharmacy, DDIs and the proportion of people with moderate/high AC burden were high. In 4DR-PWH undetectability achievement and maintenance is the priority and use of boosted PIs is common. A strict collaboration (infectious diseases specialists, virologists, pharmacologists) is needed to limit the risk of ACB and DDIs and to explore the advantages of new antiretrovirals. [ABSTRACT FROM AUTHOR]

Purpose: [123I]I-FP-CIT SPECT is an imaging tool to support the diagnosis of parkinsonian syndromes characterized by nigrostriatal dopaminergic degeneration. After intravenous injection, [123I]I-FP-CIT is metabolized for a small part by the enzyme CYP3A4, leading to the formation of [123I]I-nor-β-CIT. [123I]I-nor-β-CIT passes the blood-brain barrier and has a very high affinity for the serotonin transporter (SERT). The SERT is expressed in the striatum and cortical areas. So, at least theoretical, the use of frequently used CYP3A4 inhibitors (like amiodarone) may influence the specific to non-specific striatal [123I]I-FP-CIT ratio. Here we tested this novel hypothesis. Methods: Using a retrospective design, we determined the specific to non-specific striatal [123I]I-FP-CIT ratio (using BRASS software) in 6 subjects that were using an CYP3A4 inhibitor and 18 matched controls. Only subjects were included with a normal rated [123I]I-FP-CIT SPECT scan, and all participants were scanned on the same brain-dedicated SPECT system. Results: The specific to non-specific (assessed in the occipital cortex) striatal [123I]I-FP-CIT binding ratio was significantly higher in CYP3A4 users than in the control group (3.52 ± 0.33 vs. 2.90 ± 0.78, p < 0.001). Conclusion: Our preliminary data suggest that the use of CYP3A4 inhibitors may influence striatal [123I]I-FP-CIT binding ratios. This information, when reproduced in larger studies, may be relevant for studies in which quantification of [123I]I-FP-CIT SPECT imaging is used for diagnostic or research purposes. [ABSTRACT FROM AUTHOR]

With many available data sources, clinicians need to consider the benefit‐risk profile of individual anticoagulants when balancing the need for anticoagulation, including evaluating the risks in patients with comorbidities and potential drug‐drug interactions. This narrative review presents clinical data across multiple phases of drug development for the use of apixaban, a selective factor Xa inhibitor, when taken concomitantly with other agents, and evaluates the benefit‐risk profile of apixaban with these interacting medications. Key subgroup analyses from the phase 3 ARISTOTLE trial (NCT00412984) are presented using data from patients who received either concomitant inhibitors or inducers of cytochrome P450 3A4 and/or P‑glycoprotein. We also review the available evidence for the use of apixaban in patients with cancer‐associated thromboembolism, as well as the use of apixaban in patients with COVID‐19. [ABSTRACT FROM AUTHOR]

Fluoroquinolones (FQs) are highly potent bactericidal antibiotics with broad-spectrum activity against Gram-negative/positive bacteria. The Food and Drug Administration (FDA) anticipated the presence of a long-lasting incapacity of Fluoroquinolone Associated Toxicity (FQAT), which is not officially documented yet. This review aimed to précis the existing information on FQA long-term toxicity, such as cardiotoxicity, aortic aneurysm, tendon rupture, nephrotoxicity, hepatotoxicity, peripheral neuropathy, vagus nervous dysfunction, reactive oxygen species (ROS), phototoxicity, glucose hemostasis, and central nervous system (CNS) toxicity. We are focused on the CNS toxicity of FQs, either due to the direct action of the FQs on CNS receptors or by other drug co-administration, including nonsteroidal anti-inflammatory disease (NSAIDs) and theophylline. Due to the nature of the R7 side chain, FQs containing unsubstituted 7-piperazine and 7-pyrrolidine have the most significant effect. The gamma-aminobutyric acid-A (GABAA) receptor and CNS effects are inhibited through at least three possible mechanisms. Firstly, by the pharmacological action of the quinolone directly. Secondly, FQ-NSAIDs interact pharmacodynamically in which the interaction between the FQ and a receptor is significantly altered by the presence of another drug that interacts with the same receptor. An example may be the interaction between NSAIDs and some FQs. Thirdly, a pharmacokinetic drug-drug interaction leads to a higher concentration of quinolone or the other drug. An example may be the interaction between theophylline and benzodiazepines with some FQs. [ABSTRACT FROM AUTHOR]

This study's main focus was on the process by which Ciclopirox adhered to AlN nanostructures, Calculations using the density functional theory were done to reach this goal. The calculations encompassed the assessment of Ciclopirox's adsorption energy, the evaluation of the energy band gap, the analysis of variations in the energy band gap, the examination of charge transfers, and the characterisation of the types of interactions that arise from Ciclopirox's adsorption onto AlN nanostructures. We carried out an investigation using the AIM method to explore deeper into the binding properties between the studied AlN nanostructures and Ciclopirox. Our discoveries provide light on the Ciclopirox/AlN nanosheet interaction's electrostatic characteristics. Moreover, the presence of Ciclopirox led to an augmentation in the electrical conductivity of the AlN nanostructures. This intriguing outcome suggests the potential application of these AlN nanomaterials as chemical sensors, capable of generating an electronic signal upon detection of this chemically modified amino acid. The observed sensitivity sequence indicated that the AlN nanosheet exhibited the highest sensitivity, followed by the AlN nanotube and the AlN nanocluster. In conclusion, our study provides compelling evidence supporting the AlN nanosheet as an excellent choice for the detection of Ciclopirox compared to other AlN nanostructures. [ABSTRACT FROM AUTHOR]

Aim: Understanding how COVID‐19 impacts the expression of clinically relevant drug metabolizing enzymes and membrane transporters (DMETs) is vital for addressing potential safety and efficacy concerns related to systemic and peripheral drug concentrations. This study investigates the impact of COVID‐19 severity on DMETs expression and the underlying mechanisms to inform the design of precise clinical dosing regimens for affected patients. Methods: Transcriptomics analysis of 102 DMETs, 10 inflammatory markers, and 12 xenosensing regulatory genes was conducted on nasopharyngeal swabs from 50 SARS‐CoV‐2 positive (17 outpatients, 16 non‐ICU, and 17 ICU) and 13 SARS‐CoV‐2 negative individuals, clinically tested through qPCR, in the Greater Toronto area from October 2020 to October 2021. Results: We observed a significant differential gene expression for 42 DMETs, 6 inflammatory markers, and 9 xenosensing regulatory genes. COVID‐19 severity was associated with the upregulation of AKR1C1, MGST1, and SULT1E1, and downregulation of ABCC10, CYP3A43, and SLC29A4 expressions. Altogether, SARS‐CoV‐2‐positive patients showed an upregulation in CYP2C9, CYP2C19, AKR1C1, SULT1B1, SULT2B1, and SLCO4A1 and downregulation in FMO5, MGST3, ABCC5, and SLCO4C1 compared with SARS‐CoV‐2 negative individuals. These dysregulations were associated with significant changes in the expression of inflammatory and xenosensing regulatory genes driven by the disease. GSTM3, PPARA, and AKR1C1 are potential biomarkers of the observed DMETs dysregulation pattern in nasopharyngeal swabs of outpatients, non‐ICU, and ICU patients, respectively. Conclusion: The severity of COVID‐19 is associated with the dysregulation of DMETs involved in processing commonly prescribed drugs, suggesting potential disease–drug interactions, especially for narrow therapeutic index drugs. [ABSTRACT FROM AUTHOR]

The present study is to develop and evaluate an ethosomal gel formulation of ciprofloxacin. It aims to provide a topical treatment for many bacterial infections that affect the skin. Administration of medications topically having the facility of delivering a high concentration of the drug to the skin than would be possible with systemic therapy. Topical administration of drugs is better for local action and the efficiency of the topically administered drug is increased with liposome, proliposomes and ethosomes. Recently, it was found that ethosomal carriers were phospholipid vesicular systems having relatively high concentrations of alcohol, enhances dermal and transdermal delivery of both lipophilic as well as hydrophilic molecules. Ciprofloxacin hydrochloride is a second-generation antibiotic and a BCS class II drug. Ethosomes were formulated using phospholipid, cholesterol, ethanol, polyethylene glycol and purified water by cold method. Ethosomes were evaluated for vesicle size, shape, optical microscopy, entrapment efficiency and in-vitro release study. F4 have better drug entrapment efficiency than the other formulation. The best formulation (F4) was used to prepare gel by using carbopol 934 as a gelling agent. The ethosomes were entrapped in gel matrix of carbopol 980 in different concentration 0.5%, 1.00% and 2% w/w. FT-IR studies revealed no interaction between the drug and excipients. The formulated gel formulation was evaluated with parameter pH, viscosity, spreadability, in-vitro release test, wash ability, extrudability study and stability studies. The formulation EGF2 have better in-vitro drug release profile which contains carbopol 980 concentration 1%w/w. the stability studies performed (EGF2) at refrigeration temperature (4.0±0.2°C), at room temperature (25-28±2°C) and 45±1°C for 45days. These ethosomes were unstable at higher temperature like 45.2°C. Percent efficiency of ethosomes also decrease at higher temperature like 4502°C. The present work also focuses on making the formulation more pharmaceutically acceptable. [ABSTRACT FROM AUTHOR]

The purpose of this overview was to perform an exploratory analysis of in‐house drug‐drug interaction (DDI) studies conducted with investigational drugs and oral midazolam to assess the value of measuring 1‐OH‐midazolam (1‐OHM) in such studies. The perpetrator effect of the investigational drugs on cytochrome P450 3A (CYP3A) was assessed by analyzing both midazolam and 1‐OHM in plasma and evaluating their pharmacokinetic parameters. Given the almost exclusive metabolism of the parent drug by CYP3A to the main metabolite 1‐OHM, an increase in midazolam and a decrease in 1‐OHM exposure in the case of CYP3A inhibition caused by a perpetrator drug would be expected. The opposite would be anticipated in the case of CYP3A induction. For this analysis, the perpetrator potential of eight different investigational drugs was incorporated. Among the 10 studies included, the identified CYP3A inhibitors (n = 4) and inducers (n = 1) were classified based on the data generated with midazolam per se, with 1‐OHM levels not contributing to the interpretation of the data as they did not corroborate the findings of the parent compound. Therefore, it was concluded that continued analysis of 1‐OHM in plasma may be questionable as it does not add value to the interpretation of the results when performing CYP3A DDI studies with an investigational drug as a perpetrator. [ABSTRACT FROM AUTHOR]

P-glycoprotein (P-gp) and breast cancer resistance protein (BCRP) are important transporters causing drug-drug interaction (DDI). Here, we investigated the involvement of P-gp and BCRP in the oral absorption of ensitrelvir in non-clinical studies and estimated the DDI risk mediated by P-gp and BCRP inhibition in humans. Although ensitrelvir is an in vitro P-gp and BCRP substrate, it demonstrated high bioavailability in rats and monkeys after oral administration. Plasma exposures of ensitrelvir following oral administration were comparable in wild type (WT) and Bcrp (-/-) mice. On the other hand, the area under the plasma concentration-time curve (AUC) ratio of ensitrelvir in the Mdr1a/1b (-/-) mice to the WT mice was 1.92, indicating that P-gp, but not BCRP, was involved in the oral absorption of ensitrelvir. Based on our previous retrospective analyses, such a low AUC ratio (<3) in the Mdr1a/1b (-/-) mice indicates a minimal impact of P-gp on the oral absorption in humans. In conclusion, our studies demonstrate that the involvement of both P-gp and BCRP in the oral absorption of ensitrelvir is minimal, and suggest that ensitrelvir has a low risk for DDIs mediated by P-gp and BCRP inhibition in humans. [Display omitted] [ABSTRACT FROM AUTHOR]

Glioblastoma (GBM) is a lethal brain tumor. Standard-of-care treatment comprising surgery, radiation, and chemotherapy results in median survival rates of 12 to 15 months. Molecular-targeted agents identified using conventional 2-dimensional (2D) in vitro models of GBM have failed to improve outcome in patients, rendering such models inadequate for therapeutic target identification. A previously developed 3D GBM in vitro model that recapitulates key GBM clinical features and responses to molecular therapies was investigated for utility for screening novel radiation-drug combinations using gold-standard clonogenic survival as readout. Patient-derived GBM cell lines were optimized for inclusion in a 96-well plate 3D clonogenic screening platform, ClonoScreen3D. Radiation responses of GBM cells in this system were highly reproducible and comparable to those observed in low-throughout 3D assays. The screen methodology provided quantification of candidate drug single agent activity (half maximal effective concentration or EC 50) and the interaction between drug and radiation (radiation interaction ratio). The poly(ADP-ribose) polymerase inhibitors talazoparib, rucaparib, and olaparib each showed a significant interaction with radiation by ClonoScreen3D and were subsequently confirmed as true radiosensitizers by full clonogenic assay. Screening a panel of DNA damage response inhibitors revealed the expected propensity of these compounds to interact significantly with radiation (13/15 compounds). A second screen assessed a panel of compounds targeting pathways identified by transcriptomic analysis and demonstrated single agent activity and a previously unreported interaction with radiation of dinaciclib and cytarabine (radiation interaction ratio 1.28 and 1.90, respectively). These compounds were validated as radiosensitizers in full clonogenic assays (sensitizer enhancement ratio 1.47 and 1.35, respectively). The ClonoScreen3D platform was demonstrated to be a robust method to screen for single agent and radiation-drug combination activity. Using gold-standard clonogenicity, this assay is a tool for identification of radiosensitizers. We anticipate this technology will accelerate identification of novel radiation-drug combinations with genuine translational value. [ABSTRACT FROM AUTHOR]

Rationale: : Valproic acid (VPA) is commonly used as a second-line mood stabilizer or augmentative agent in severe mental illnesses. However, population pharmacokinetic studies specific to psychiatric populations are limited, and clinical predictors for the precision application of VPA remain undefined. Objectives: To identify steady-state serum VPA level predictors in pediatric/adolescent and adult psychiatric inpatients. Methods: We analyzed data from 634 patients and 1,068 steady-state therapeutic drug monitoring (TDM) data points recorded from 2015 to 2021. Steady-state VPA levels were obtained after tapering during each hospitalization episode. Electronic patient records were screened for routine clinical parameters and co-medication. Generalized additive mixed models were employed to identify independent predictors. Results: Most TDM episodes involved patients with psychotic disorders, including schizophrenia (29.2%) and schizoaffective disorder (17.3%). Polypharmacy was common, with the most frequent combinations being VPA + quetiapine and VPA + promethazine. Age was significantly associated with VPA levels, with pediatric/adolescent patients (< 18 years) demonstrating higher dose-adjusted serum levels of VPA (β = 7.6±2.34, p < 0.001) after accounting for BMI. Women tended to have higher adjusted VPA serum levels than men (β = 5.08±1.62, p < 0.001). The formulation of VPA (Immediate-release vs. extended-release) showed no association with VPA levels. Co-administration of diazepam exhibited a dose-dependent decrease in VPA levels (F = 15.7, p < 0.001), suggesting a potential pharmacokinetic interaction. Conclusions: This study highlights the utility of population-specific pharmacokinetic data for VPA in psychiatric populations. Age, gender, and co-administration of diazepam were identified as predictors of VPA levels. Further research is warranted to establish additional predictors and optimize the precision application of VPA in psychiatric patients. [ABSTRACT FROM AUTHOR]

Identifying drug–drug interactions (DDIs) is an important aspect of drug design research, and predicting DDIs serves as a crucial guarantee for avoiding potential adverse effects. Current substructure‐based prediction methods still have some limitations: (i) The process of substructure extraction does not fully exploit the graph structure information of drugs, as it only evaluates the importance of different radius substructures from a single perspective. (ii) The process of constructing drug representations has overlooked the significant impact of relation embedding on optimizing drug representations. In this work, we propose a substructure‐aware graph neural network incorporating relation features (RFSA‐DDI) for DDI prediction, which introduces a directed message passing neural network with substructure attention mechanism based on graph self‐adaptive pooling (GSP‐DMPNN) and a substructure‐aware interaction module incorporating relation features (RSAM). GSP‐DMPNN utilizes graph self‐adaptive pooling to comprehensively consider node features and local drug information for adaptive extraction of substructures. RSAM interacts drug features with relation representations to enhance their respective features individually, highlighting substructures that significantly impact predictions. RFSA‐DDI is evaluated on two real‐world datasets. Compared to existing methods, RFSA‐DDI demonstrates certain advantages in both transductive and inductive settings, effectively handling the task of predicting DDIs for unseen drugs and exhibiting good generalization capability. The experimental results show that RFSA‐DDI can effectively capture valuable structural information of drugs more accurately for DDI prediction, and provide more reliable assistance for potential DDIs detection in drug development and treatment stages. [ABSTRACT FROM AUTHOR]

[Display omitted] Brain disorders represent an ever-increasing health challenge worldwide. While conventional drug therapies are less effective due to the presence of the blood-brain barrier, infusion-based methods of drug delivery to the brain represent a promising option. Since these methods are mechanically controlled and involve multiple physical phases ranging from the neural and molecular scales to the brain scale, highly efficient and precise delivery procedures can significantly benefit from a comprehensive understanding of drug-brain and device-brain interactions. Behind these interactions are principles of biophysics and biomechanics that can be described and captured using mathematical models. Although biomechanics and biophysics have received considerable attention, a comprehensive mechanistic model for modeling infusion-based drug delivery in the brain has yet to be developed. Therefore, this article reviews the state-of-the-art mechanistic studies that can support the development of next-generation models for infusion-based brain drug delivery from the perspective of fluid mechanics, solid mechanics, and mathematical modeling. The supporting techniques and database are also summarized to provide further insights. Finally, the challenges are highlighted and perspectives on future research directions are provided. Despite the immense potential of infusion-based drug delivery methods for bypassing the blood-brain barrier and efficiently delivering drugs to the brain, achieving optimal drug distribution remains a significant challenge. This is primarily due to our limited understanding of the complex interactions between drugs and the brain that are governed by principles of biophysics and biomechanics, and can be described using mathematical models. This article provides a comprehensive review of state-of-the-art mechanistic studies that can help to unravel the mechanism of drug transport in the brain across the scales, which underpins the development of next-generation models for infusion-based brain drug delivery. More broadly, this review will serve as a starting point for developing more effective treatments for brain diseases and mechanistic models that can be used to study other soft tissue and biomaterials. [ABSTRACT FROM AUTHOR]

As the population ages, understanding the unique pharmacokinetic profiles of older adults is crucial for effective and safe medication management. This article provides an overview of the pharmacokinetic changes that occur with ageing, including alterations in absorption, distribution, metabolism, and excretion. Emphasising the implications for prescribing practice, the article highlights common challenges and strategies for optimising pharmacotherapy in older patients. By recognising the physiological changes and potential drug interactions, healthcare providers can tailor their prescribing practices to improve therapeutic outcomes and minimise adverse effects in this vulnerable population. [ABSTRACT FROM AUTHOR]

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Human immunodeficiency virus (HIV) is no longer considered a contraindication for kidney transplantation (KT). KT management in HIV patients is a complex process with challenges, such as drug interactions between immunosuppression and antiretroviral (ARV) therapy. In our country, no KT has been performed thus far in this category of patients. We present the case of a 29-year-old female patient with HIV and end-stage renal disease (ESRD) who performed a KT from a related living donor in March 2022. KT immediate evolution was favorable. No transplant-related complications were reported. HIV viral load remained undetectable and CD4+ T cells were constantly > 500 cell/ μL, during the 18 months of follow-up. The main challenge in our case was the drug interaction between the protease inhibitor-based regimen and tacrolimus. This led to tacrolimus overdose, and, subsequently, change in ARV therapy. ARV switching was performed on a regimen based on integrase inhibitor and nucleoside reverse transcriptase inhibitors. After the ARV change, the therapeutic level of tacrolimus was easily reached and maintained. Kidney graft function remained normal during follow-up, despite tacrolimus overexposure, and no rejection or anti-HLA antibodies were observed. Another challenge was related to the donor's hepatitis C virus status (positive antibodies, negative nucleic acid test). The recipient did not develop seroconversion or detectable viremia at 3-, 6-, 12- and 18-months post-KT. We reported the first case of a successful KT in an ESRD patient with HIV in Romania, in whom the post-transplant evolution was favorable. [ABSTRACT FROM AUTHOR]

Chronic kidney disease (CKD) and heart failure are often co-existing conditions due to a shared pathophysiological process involving neurohormonal activation and hemodynamic maladaptation. A wide range of pharmaceutical and interventional tools are available to patients with CKD, consisting of traditional ones with decades of experience and newer emerging therapies that are rapidly reshaping the landscape of medical care for this population. Management of patients with heart failure and CKD requires a stepwise approach based on renal function and the clinical phenotype of heart failure. This is often challenging due to altered drug pharmacokinetics interactions with various degrees of kidney function and frequent adverse effects from the therapy that lead to poor patient tolerance. Despite a great body of clinical evidence and guidelines that have offered various treatment options for patients with heart failure and CKD, respectively, patients with CKD are still underrepresented in heart failure clinical trials, especially for those with advanced CKD and end-stage renal disease (ESRD). Future studies are needed to better understand the generalizability of these therapeutic options among heart failures with different stages of CKD. [ABSTRACT FROM AUTHOR]

Efflux pump inhibitors are a potential therapeutic strategy for managing antimicrobial resistance and biofilm formation. This article evaluated the effect of carbonyl cyanide m-chlorophenyl hydrazone (CCCP) on the biofilm growth dynamics and the production of virulence factors by Burkholderia pseudomallei. The effects of CCCP on planktonic, growing, and mature biofilm, interaction with antibacterial drugs, and protease and siderophore production were assessed. CCCP MICs ranged between 128 and 256 µM. The CCCP (128 µM) had a synergic effect with all the antibiotics tested against biofilms. Additionally, CCCP reduced (p <.05) the biomass of biofilm growth and mature biofilms at 128 and 512 µM, respectively. CCCP also decreased (p <.05) protease production by growing (128 µM) and induced (p <.05) siderophore release by planktonic cells (128 µM) growing biofilms (12.8 and 128 µM) and mature biofilms (512 µM). CCCP demonstrates potential as a therapeutic adjuvant for disassembling B. pseudomallei biofilms and enhancing drug penetration. [ABSTRACT FROM AUTHOR]

AbstractDrug transporter field is rapidly evolving with significant progress in in vitro and in vivo tools and, computational models to assess transporter-mediated drug disposition and drug-drug interactions (DDIs) in humans. On behalf of all coauthors, I am pleased to share the fourth annual review highlighting articles published and deemed influential in the field of drug transporters in the year 2023. Each coauthor independently selected peer-reviewed articles published or available online in the year 2023 and summarized them as shown previously (Chothe et al. 2021; Chothe et al. 2022, 2023) with unbiased perspectives. Based on selected articles, this review was categorized into four sections: (1) transporter structure and in vitro evaluation, (2) novel in vitro/ex vivo models, (3) endogenous biomarkers, and (4) PBPK modeling for evaluating transporter DDIs (Table 1). As the scope of this review is not to comprehensively review each article, readers are encouraged to consult original paper for specific details. Finally, I appreciate all the authors for their time and continued support in writing this review. [ABSTRACT FROM AUTHOR]

Cilofexor, an oral farnesoid X receptor agonist, and firsocostat, an oral, liver‐targeted inhibitor of acetyl‐coenzyme A carboxylase, are being investigated in combination with semaglutide for the treatment of metabolic dysfunction‐associated steatohepatitis (previously known as nonalcoholic steatohepatitis; NCT04971785). The pharmacokinetics and safety profiles of cilofexor (100 mg) and firsocostat (20 mg) were separately investigated in two phase 1 studies, each of which included healthy Japanese participants (n = 20 in the cilofexor study and n = 21 in the firsocostat study) and non‐Japanese participants (n = 20 in the cilofexor study and n = 21 in the firsocostat study). Intensive pharmacokinetic sampling was performed over 96 h following a single‐dose administration of the study drug. Safety was monitored throughout the study. In total, 39 participants completed each study. The plasma exposures of cilofexor and firsocostat (area under the concentration–time curve [AUC] calculated from time 0 to infinity [AUCinf]) in Japanese participants were 1.24‐fold and 1.98‐fold, respectively, of those in non‐Japanese participants. Both study drugs were well tolerated with no clear differences in adverse events or laboratory abnormalities between Japanese and non‐Japanese participants. The approximate 2‐fold exposure difference of firsocostat between Japanese and non‐Japanese participants at the 20 mg dose does not warrant dose reduction given the previously established safety and tolerability of once‐daily doses of firsocostat up to 200 mg. [ABSTRACT FROM AUTHOR]

Levosulpiride and omeprazole are co-prescribed for gastrointestinal disorders associated with depression and anxiety. Objective of the study was to develop a sensitive, robust and simple method for simultaneous analysis of levosulpiride and omeprazole in human plasma and applicability of the method in determination of pharmacokinetics drug-drug interaction. In the presented study, a reversed-phase HPLC-UV method was developed for the simultaneous determination of levosulpiride and omeprazole using pantoprazole as the internal standard. Experimental conditions were optimized and the developed method was validated as per standard guidelines (USP and ICH). Furthermore, the developed method was applied for evaluation of pharmacokinetics drug-drug interaction between levosulpiride (50 mg) and omeprazole (40 mg) in healthy human volunteers. Sharpsil C8 column (4.6 × 250 mm, 5 μm), Ultisil C8 column (4.6 mm × 150 mm, 5 μm) and Agilent C18 column (4.6 × 250 mm, 5 μm) were evaluated as stationary phase. The best resolution was achieved with Agilent C18 (4.6 x 250 mm, 5 μm) column and was selected for further study. The mobile phase consisted of a mixture of acetonitrile and phosphate buffer (pH 7.2) in 60:40 by volume, and was pumped at a flow rate of 1 mL/min. Detector wavelength was set at 280 nm. Levosulpiride and omeprazole were extracted from human plasma with ethyl acetate and dichloromethane (4:1, v/v). The calibration curves for both levosulpiride (5–150 ng/mL) and omeprazole (10–1500 ng/mL) were linear. The lower limit of quantification and limit of detection for levosulpiride were 5 and 2 ng/mL, while for omeprazole these were 10 and 3 ng/mL, respectively. Pharmacokinetics analysis showed that co-administration of omeprazole increased the AUC and Cmax of levosulpiride, while the clearance was reduced. Both the changes were insignificant. Similarly, no significant change in the pharmacokinetic parameters of omeprazole was observed with co-administration of levosulpiride. [ABSTRACT FROM AUTHOR]

Introduction Method Results Conclusion Lamotrigine (LTG) is an antiepileptic drug that has been used in pediatric epilepsy as a combination therapy or monotherapy after stabilization in recent years. However, there are significant drug–drug interactions (DDI) between LTG and combined drugs such as carbamazepine (CBZ) and valproic acid (VPA). It is particularly important to consider the risk of DDI in combination therapy for intractable epilepsy in pediatric patients. Therefore, it is necessary to adjust the dosage of LTG accordingly. The aim of this study was to establish and validate a pediatric physiologically based pharmacokinetic (PBPK) model for predicting LTG exposure. The model is designed to explore the potential for quantifying pharmacokinetic (PK) DDI of LTG when administered concurrently with CBZ or VPA in pediatric patients.Adult and pediatric PBPK models for LTG and VPA were developed using PK‐Sim® software in combination with physiological information and drug‐specific parameters, and a DDI model was developed in combination with the published CBZ model. The models were validated against available PK data.Predictive and observational results in adults, children, and the DDI model were in good agreement. The recommended doses of LTG for preschool children (2–6 years) and school‐aged children (6–12 years) in the absence of drug interactions were 1.47 and 1.2 times higher than those for adults, respectively; 3.1 and 2.6 times higher than those for adults in combination with CBZ; and 0.67 and 0.57 times lower than those for adults in combination with VPA. In addition, plasma exposures in adolescents (12–18 years) were similar to those in adults at the same doses.We have successfully developed PBPK models and DDI models for LTG in adults and children, which provide a reference for rational drug use in the pediatric population. [ABSTRACT FROM AUTHOR]

AbstractCytochrome P40 (CYP) enzymes dominate the metabolism of numerous endogenous and xenobiotic substances. While it is commonly believed that CYP-catalysed reactions result in the detoxication of foreign substances, these reactions can also yield reactive intermediates that can bind to cellular macromolecules to cause cytotoxicity or irreversibly inactivate CYPs that create them.Mechanism-based inactivation (MBI) produces either irreversible or quasi-irreversible inactivation and is commonly caused by CYP metabolic bioactivation to an electrophilic reactive intermediate. Many drugs that have been known to cause MBI in CYPs have been discovered as perpetrators in drug-drug interactions throughout the last 20–30 years.This review will highlight the key findings from the recent literature about the mechanisms of CYP enzyme inhibition, with a focus on the broad mechanistic elements of MBI for widely used drugs linked to the phenomenon. There will also be a brief discussion of the clinical or pharmacokinetic consequences of CYP inactivation with regard to drug interaction and toxicity risk.Gaining knowledge about the selective inactivation of CYPs by common therapeutic drugs helps with the assessment of factors that affect the systemic clearance of co-administered drugs and improves comprehension of anticipated interactions with other drugs or xenobiotics.Cytochrome P40 (CYP) enzymes dominate the metabolism of numerous endogenous and xenobiotic substances. While it is commonly believed that CYP-catalysed reactions result in the detoxication of foreign substances, these reactions can also yield reactive intermediates that can bind to cellular macromolecules to cause cytotoxicity or irreversibly inactivate CYPs that create them.Mechanism-based inactivation (MBI) produces either irreversible or quasi-irreversible inactivation and is commonly caused by CYP metabolic bioactivation to an electrophilic reactive intermediate. Many drugs that have been known to cause MBI in CYPs have been discovered as perpetrators in drug-drug interactions throughout the last 20–30 years.This review will highlight the key findings from the recent literature about the mechanisms of CYP enzyme inhibition, with a focus on the broad mechanistic elements of MBI for widely used drugs linked to the phenomenon. There will also be a brief discussion of the clinical or pharmacokinetic consequences of CYP inactivation with regard to drug interaction and toxicity risk.Gaining knowledge about the selective inactivation of CYPs by common therapeutic drugs helps with the assessment of factors that affect the systemic clearance of co-administered drugs and improves comprehension of anticipated interactions with other drugs or xenobiotics. [ABSTRACT FROM AUTHOR]

Investigation into the interactions between drugs and biomolecules can offer a precise understanding of their biological behaviours in vitro and in vivo, providing crucial insights for designing new drugs. Herein, we report the design, synthesis, and characterization of a bicyclic hydrazone derivative, along with its potential as an inhibitor of human neutrophil elastase (HNE), a critical enzyme in the treatment of acute and chronic lung injuries. We present an improved protocol for the synthesis of the compound using N‐amino‐bicyclo[2.2.1]hept‐5‐ene‐2,endo‐3‐endo‐dicarboximide and 4‐(trifluoromethyl)benzaldehyde through a facile, one‐pot, catalyst‐free synthesis in dry ethanol at reflux temperature. Within 12 hours, bicyclic‐hydrazone derivative was obtained with yields of up to 75 % and was characterized using various spectroscopic techniques and computational analyses based on the DFT approach. In silico ADME/T profile of the compound was evaluated and molecular docking simulation was utilized to predict its potential as a HNE inhibitor. The binding energy values of the THI ligand to the chosen PDB ID: 5ABW, 3Q77, and 2RG3 target proteins were determined as −8.41, −7.20, and −7.27 kcal/mol, respectively. In silico analysis findings indicate that the THI compound has promising drug‐likeness properties and has the potential to be evaluated in the development of new HNE inhibitors. [ABSTRACT FROM AUTHOR]

Background: Lung squamous cell carcinoma (LSCC) is a major subtype of lung cancer with poor prognosis and low survival rate. Compared with lung adenocarcinoma, yet no FDA-approved targeted-therapy has been found for lung squamous cell carcinoma. Methods: To identify potential drug targets for LSCC, Summary-data-based Mendelian randomization (SMR) analysis was used to examine the potential association between 4,543 druggable genes and LSCC, followed by colocalization analysis and HEIDI tests to confirm the robustness of the result. Phenome-wide association study (PheWAS) explored potential side effects of candidate drug targets. Enrichment analysis and protein-protein interaction networks revealed the function and significance of therapeutic targets. Singlecell expression analysis was used to examine cell types with enrichment expression of druggable genes in LSCC tissue. Drug prediction included screening potential drug candidates and evaluating their interactions with targets through molecular docking. Results: This research has identified ten significant drug targets for LSCC through a comprehensive SMR analysis. These targets included (COPA, PKD2L1, CCR1, C2, CYP21A2, and NCSTN as risk factors, and CCNA2, C4A, APOM, and LPAR2 as protective factors). PheWAS demonstrated that C2, CCNA2, LPAR2, and NCSTN exhibited associations with other phenotypes at the genetic level. Then, we found four potentially effective drugs with the Dsigdb database. Subsequently, molecular docking indicated that favorable binding interactions between drug candidates and potential target molecules. In the druggability evaluation, five out of ten drug target genes have been used in drug development (APOM, C4A, CCNA2, COPA, and PKD2L1). Six out of ten druggable genes showed significant expression in LSCC tissues (COPA, PKD2L1, CCR1, C2, NCSTN, LPAR2). Besides, Single-cell expression analysis revealed that C2 and CCNA2 were primarily enriched in macrophages, while COPA and NCSTN were enriched in both macrophages and epithelial cells. Conclusion: Our research revealed ten potential druggable genes for LSCC treatment, which might help to advance the precise and efficient therapeutic approaches of LSCC. [ABSTRACT FROM AUTHOR]

AbstractThis review explores genetic contributors to drug interactions, known as drug-gene and drug-drug-gene interactions (DGI and DDGI, respectively). This article is part of a mini-review issue led by the International Society for the Study of Xenobiotics (ISSX) New Investigators Group. Pharmacogenetics (PGx) is the study of the impact of genetic variation on pharmacokinetics (PK), pharmacodynamics (PD), and adverse drug reactions. Genetic variation in pharmacogenes, including drug metabolizing enzymes and drug transporters, is common and can increase the risk of adverse drug events or contribute to reduced efficacy. In this review, we summarize clinically actionable genetic variants, and touch on methodologies such as genotyping patient DNA to identify genetic variation in targeted genes, and deep mutational scanning as a high-throughput in vitro approach to study the impact of genetic variation on protein function and/or expression in vitro. We highlight the utility of physiologically based pharmacokinetic (PBPK) models to integrate genetic and chemical inhibitor and inducer data for more accurate human PK simulations. Additionally, we analyze the limitations of historical ethnic descriptors in pharmacogenomics research. Altogether, the work herein underscores the importance of identifying and understanding complex DGI and DDGIs with the intention to provide better treatment outcomes for patients. We also highlight current barriers to wide-scale implementation of PGx-guided dosing as standard or care in clinical settings. [ABSTRACT FROM AUTHOR]

The study was conducted on the impact of thermophysical properties on eflornithine drug solute–solvent interactions in aqueous ethyl acetate and acetone at different concentrations and temperatures. The aim of this study is to enhance the understanding of eflornithine's behavior in different solvents, which is crucial for its effective use in pharmaceutical applications. The density, molar volume, viscometric, and conductometric characteristics of the eflornithine drug solutions (0.025, 0.05, 0.075, 0.1, and 0.125 mol/kg) in acetone and 25% (v/v) aqueous ethyl acetate were measured within a temperature range of 298.15 K–318.15 K. Based on the determined density parameters, the following parameters were assessed: viscosity (η), equivalent molar conductance, limiting apparent molar volume (V0φ), apparent molar volume of transfer (V0φtr), and apparent molar volume (Vφ). The Masson empirical relationship and the viscosity-to-Jones-Dole (JD) equation were used to evaluate the partial molar volume (Vφ), experimental slope (SV), viscosity, and density data. Temperature and concentration were used to determine each parameter. For each set of dilutions, conductometric studies were conducted in both study solvents. The gathered data was analyzed in order to evaluate the ion–solvent interactions. The Walden product Λomηo's positive temperature coefficient values indicate that the drug eflornithine functions as a structural modifier in acetone and aqueous acetyl acetate systems. The structure-making and breaking characteristics of the polar solvents acetone and ethyl acetate were identified. [ABSTRACT FROM AUTHOR]

Due to the insufficiency of safety assessments of clinical trials for drugs, further assessments are required for post‐marketed drugs. In addition to adverse drug reactions (ADRs) induced by one drug, drug‐drug interaction (DDI)‐induced ADR should also be investigated. The spontaneous reporting system (SRS) is a powerful tool for evaluating the safety of drugs continually. In this study, we propose a novel Bayesian method for detecting potential DDIs in a database collected by the SRS. By applying a power prior, the proposed method can borrow information from similar drugs for a drug assessed DDI to increase sensitivity of detection. The proposed method can also adjust the amount of the information borrowed by tuning the parameters in power prior. In the simulation study, we demonstrate the aforementioned increase in sensitivity. Depending on the scenarios, approximately 20 points of sensitivity of the proposed method increase from an existing method to a maximum. We also indicate the possibility of early detection of potential DDIs by the proposed method through analysis of the database shared by the Food and Drug Administration. In conclusion, the proposed method has a higher sensitivity and a novel criterion to detect potential DDIs early, provided similar drugs have similar observed‐expected ratios to the drug under assessment. [ABSTRACT FROM AUTHOR]

This study aims to meticulously map the bibliometric landscape of drug‐drug interactions (DDIs) in clinical research. This represents the first use of bibliometric analysis to comprehensively highlight the evolutionary trends and core themes in this critical field of pharmacology. An exhaustive bibliometric search was performed within the Web of Science Core Collection, aiming to comprehensively gather literature on DDIs in clinical settings. A combination of sophisticated analytical tools including DIKW, VOSviewer, and Citespace was utilized for an in‐depth exploration of bibliometric patterns and trends. Of the 3421 initially identified articles, 2622 were considered relevant. The analysis revealed a marked escalation in DDIs publications, with a peak observed in 2020. Five principal thematic clusters emerged: Safety and Adverse Reactions, Drug Metabolism and Efficacy, Disease and Drug Treatment, Research Methods and Practices, and Special Populations and Combined Medication. Key insights included the escalating significance of drug metabolism in pharmacokinetics, heightened focus on cardiovascular and antiviral therapeutics, and the advancing frontier of personalized medicine. Additionally, the analysis underscored the necessity for strategic attention to vulnerable populations and innovative methodological approaches. This study calls for the global harmonization of research methods in DDIs clinical investigations, advocating for the integration of personalized medicine paradigms and the implementation of cutting‐edge computational analytics. It highlights the imperative for inclusive and collaborative research approaches to adeptly address the intricate challenges of contemporary pharmacotherapy. [ABSTRACT FROM AUTHOR]

BACKGROUND: Drug-induced QT prolongation (diLQT) is a feared side effect that could expose susceptible individuals to fatal arrhythmias. The occurrence of diLQT is primarily attributed to unintended drug interactions with cardiac ion channels, notably the hERG (human ether-a-go-go-related gene) channels that generate the delayed-rectifier potassium current (IKr) and thereby regulate the late repolarization phase. There is an important interindividual susceptibility to develop diLQT, which is of unknown origin but can be reproduced in patient-specific induced pluripotent stem cell-derived cardiomyocytes (iPS-CMs). We aimed to investigate the dynamics of hERG channels in response to sotalol and to identify regulators of the susceptibility to developing diLQT. METHODS: We measured electrophysiological activity and cellular distribution of hERG channels after hERG blocker treatment in iPS-CMs derived from patients with highest sensitivity (HS) or lowest sensitivity (LS) to sotalol administration in vivo (ie, on the basis of the measure of the maximal change in QT interval 3 hours after administration). Specific small interfering RNAs and CAVIN1-T2A-GFP adenovirus were used to manipulate CAVIN1 expression. RESULTS: Whereas HS and LS iPS-CMs showed similar electrophysiological characteristics at baseline, the late repolarization phase was prolonged and IKr significantly decreased after exposure of HS iPS-CMs to low sotalol concentrations. IKr reduction was caused by a rapid translocation of hERG channel from the membrane to the cytoskeleton-associated fractions upon sotalol application. CAVIN1, essential for caveolae biogenesis, was 2× more highly expressed in HS iPS-CMs, and its knockdown by small interfering RNA reduced their sensitivity to sotalol. CAVIN1 overexpression in LS iPS-CMs using adenovirus showed reciprocal effects. We found that treatment with sotalol promoted translocation of the hERG channel from the plasma membrane to the cytoskeleton fractions in a process dependent on CAVIN1 (caveolae associated protein 1) expression. CAVIN1 silencing reduced the number of caveolae at the membrane and abrogated the translocation of hERG channel in sotalol-treated HS iPS-CMs. CAVIN1 also controlled cardiomyocyte responses to other hERG blockers, such as E4031, vandetanib, and clarithromycin. CONCLUSIONS: Our study identifies unbridled turnover of the potassium channel hERG as a mechanism supporting the interindividual susceptibility underlying diLQT development and demonstrates how this phenomenon is finely tuned by CAVIN1. [ABSTRACT FROM AUTHOR]

"Purple Drank", a soft drink containing promethazine (PMZ) and codeine (COD), has gained global popularity for its hallucinogenic effects. Consuming large amounts of this combination can lead to potentially fatal events. The binding of these drugs to plasma proteins can exacerbate the issue by increasing the risk of drug interactions, side effects, and/or toxicity. Herein, the binding affinity to human serum albumin (HSA) of PMZ and its primary metabolites [N-desmethyl promethazine (DMPMZ) and promethazine sulphoxide (PMZSO)], along with COD, was investigated by high-performance affinity chromatography (HPAC) though zonal approach. PMZ and its metabolites exhibited a notable binding affinity for HSA (%b values higher than 80%), while COD exhibited a %b value of 65%. To discern the specific sites of HSA to which these compounds were bound, displacement experiments were performed using warfarin and (S)-ibuprofen as probes for sites I and II, respectively, which revealed that all analytes were bound to both sites. Molecular docking studies corroborated the experimental results, reinforcing the insights gained from the empirical data. The in silico data also suggested that competition between PMZ and its metabolites with COD can occur in both sites of HSA, but mainly in site II. As the target compounds are chiral, the enantioselectivity for HSA binding was also explored, showing that the binding for these compounds was not enantioselective. [ABSTRACT FROM AUTHOR]

The European population is ageing. Food Supplements (FSs) are foods with particular characteristics, consumed by elderly people for various purposes, including combating nutritional deficits. Their consumption in this age group, associated with a high prevalence of polypharmacy, can enhance interactions. Potential drug-food (or food supplements), drug-drug interactions and polypharmacy are common health issues among older adults. The prevalence of polypharmacy is high, and preliminary data also indicate that there is significant FS use, increasing the risk of the duplication of therapies and various adverse reactions as well as drug–FS and FS-FS interactions. Therefore, the intervention of health professionals in mitigating these risks is essential. This review highlights and discusses the association between FSs, polypharmacy, and adverse reactions due to the risk of potential interactions between these products. Moreover, it also provides current scientific evidence regarding the use of FSs by the elderly. A review of the challenges, advantages, and risks of using FSs in elderly people who are malnourished and/or polymedicated, focusing on the good practises needed to support healthy ageing, is presented. In this regard, this paper aims to help health professionals better deal with the issue of the use of multiple FSs and polypharmacy, overcome the malnutrition problem, and improve the health and well-being of older adults. [ABSTRACT FROM AUTHOR]

Fibrosis is a public health issue of great concern characterized by the excessive deposition of extracellular matrix, leading to the destruction of parenchymal tissue and organ dysfunction that places a heavy burden on the global healthcare system due to its high incidence, disability, and mortality. Salvianolic acid B (SalB) has positively affected various human diseases, including fibrosis. In this review, we concentrate on the anti-fibrotic effects of SalB from a molecular perspective while providing information on the safety, adverse effects, and drug interactions of SalB. Additionally, we discuss the innovative SalB formulations, which give some references for further investigation and therapeutic use of SalB's antifibrotic qualities. Even with the encouraging preclinical data, additional research is required before relevant clinical trials can be conducted. Therefore, we conclude with recommendations for future studies. It is hoped that this review will provide comprehensive new perspectives on future research and product development related to SalB treatment of fibrosis and promote the efficient development of this field. [ABSTRACT FROM AUTHOR]

Affinity-mediated drug delivery utilizes electrostatic, hydrophobic, or other noncovalent interactions between molecules and a polymer to extend the timeframe of drug release. Cyclodextrin polymers exhibit affinity interaction, however, experimentally testing drug candidates for affinity is time-consuming, making computational predictions more effective. One option, docking programs, provide predictions of affinity, but lack reliability, as their accuracy with cyclodextrin remains unverified experimentally. Alternatively, quantitative structure-activity relationship models (QSARs), which analyze statistical relationships between molecular properties, appear more promising. Previously constructed QSARs for cyclodextrin are not publicly available, necessitating an openly accessible model. Around 600 experimental affinities between cyclodextrin and guest molecules were cleaned and imported from published research. The software PaDEL-Descriptor calculated over 1,000 chemical descriptors for each molecule, which were then analyzed with R to create several QSARs with different statistical methods. These QSARs proved highly time efficient, calculating in minutes what docking programs could accomplish in hours. Additionally, on test sets, QSARs reached R2 values of around 0.7--0.8. The speed, accuracy, and accessibility of these QSARs improve evaluation of individual drugs and facilitate screening of large datasets for potential candidates in cyclodextrin affinity-based delivery systems. An app was built to rapidly access model predictions for end users using the Shiny library. To demonstrate the usability for drug release planning, the QSAR predictions were coupled with a mechanistic model of diffusion within the app. Integrating new modules should provide an accessible approach to use other cheminformatic tools in the field of drug delivery. [ABSTRACT FROM AUTHOR]

AbstractThis study aimed to determine changes in the hydrolysis of vicagrel, a substrate drug of arylacetamide deacetylase (Aadac) and carboxylesterase 2 (Ces2), in P-glycoprotein (P-gp)-deficient or P-gp-inhibited mice and to elucidate the mechanisms involved.Male wild-type (WT) and P-gp knock-out (KO) mice were used to investigate the systemic exposure of vicagrel thiol active metabolite H4 and platelet response to vicagrel, and the mRNA and protein expression levels of intestinal Aadac and Ces2. Moreover, WT mice were administered vicagrel alone or in combination with elacridar (a potent P-gp inhibitor) to determine drug-drug interactions.Compared with WT mice, P-gp KO mice exhibited significant increases in the systemic exposure of H4, the protein expression levels of intestinal Aadac and Ces2, and inhibition of ADP-induced platelet aggregation by vicagrel. Further, the H4 exposure was positively correlated with intestinal Aadac protein expression levels but did not vary with short-term inhibition of P-gp efflux activity by elacridar.P-gp-deficient mice, rather than elacridar-treated mice, exhibited significant upregulation of intestinal Aadac and Ces2 and thus, enhanced metabolic activation of and platelet response to vicagrel, suggesting that the metabolic activation of vicagrel may vary with P-gp deficiency, not P-gp inhibition, in mice.This study aimed to determine changes in the hydrolysis of vicagrel, a substrate drug of arylacetamide deacetylase (Aadac) and carboxylesterase 2 (Ces2), in P-glycoprotein (P-gp)-deficient or P-gp-inhibited mice and to elucidate the mechanisms involved.Male wild-type (WT) and P-gp knock-out (KO) mice were used to investigate the systemic exposure of vicagrel thiol active metabolite H4 and platelet response to vicagrel, and the mRNA and protein expression levels of intestinal Aadac and Ces2. Moreover, WT mice were administered vicagrel alone or in combination with elacridar (a potent P-gp inhibitor) to determine drug-drug interactions.Compared with WT mice, P-gp KO mice exhibited significant increases in the systemic exposure of H4, the protein expression levels of intestinal Aadac and Ces2, and inhibition of ADP-induced platelet aggregation by vicagrel. Further, the H4 exposure was positively correlated with intestinal Aadac protein expression levels but did not vary with short-term inhibition of P-gp efflux activity by elacridar.P-gp-deficient mice, rather than elacridar-treated mice, exhibited significant upregulation of intestinal Aadac and Ces2 and thus, enhanced metabolic activation of and platelet response to vicagrel, suggesting that the metabolic activation of vicagrel may vary with P-gp deficiency, not P-gp inhibition, in mice. [ABSTRACT FROM AUTHOR]

Background: Through an analysis of the Food and Drug Administration Adverse Event Reporting System (FAERS), we explored the signal strength of adverse reactions (ADRs) related to myopathy caused by the combination of colchicine and statins and gained insight into the characteristics of these myopathy related ADRs. Methods: We extracted data from the FAERS database about ADRs in individuals with myopathy resulting from the combination of colchicine and statins. The analysis was conducted for the period spanning from January 2004 to December 2023 using the reported odds ratio (ROR) and information component (IC) methods to assess muscle-related ADR signals. Results: A total of 18,386 reports of statin myopathy-associated adverse reactions, 348 colchicine myopathy-associated adverse reactions, and 461 muscle-associated adverse reactions due to the combination of the two were collected; the strongest signals of statin myotoxicity events were for necrotizing myositis (ROR 50.47, 95% CL 41.74-61.01; IC 3.70 95% CL 3.25-4.08); the strongest signal for colchicine myotoxicity events was toxic myopathy (ROR 32.50, 95% CL 19.74-53.51; IC 4.97 95% CL 1.89-5.10), and the strongest signal for statins combined with colchicine was toxic myopathy (ROR 159.85, 95% CL 111.60-228.98; IC 7.22 95% CL 3.59-5.9); muscle-related adverse reactions signals were meaningful when the two drugs were combined in the order of colchicine combined with fluvastatin (ROR 187.38, 95% CL 96.68-363.17; IC 6.99 95% CL 1.65-5.68); colchicine combined with simvastatin in 135 cases (ROR 30.08. 95% CL 25.25-35.85; IC 4.80 95% CL 3.96-5.12); and colchicine combined with rosuvastatin (ROR 25.73, 95% CL 20.16-32.83; IC 4.59 95% CL 3.38-4.98) versus colchicine combined with atorvastatin (ROR 25.73, 95% CL 22.33-29.66; IC 4.59 95% CL 3.97-4.91) with almost identical signal intensity, followed by colchicine combined with pravastatin (ROR 13.67, 95% CL 9.17-20.37; IC 3.73 95% CL 1.87-4.47), whereas no signals were generated for lovastatin or pitavastatin. Conclusion: Similar ADRs can occur when colchicine and statins are used individually or in combination; however, the strength of these reactions may differ. To minimize the risk of drug interactions, statins with less potential interactions, such as lovastatin, pitavastatin, and pravastatin, should be chosen, and myopathy-related indices and symptoms should be closely monitored during use. [ABSTRACT FROM AUTHOR]