Pharmacological Research Articles

Pd(II)‐Catalyzed Conversion Of N‐Troponyl‐Amino Acid Derivatives Into Cationic Troponyl‐Oxazolidines

AbstractBenzoxazole and benzoxazolidine are constituents of various bioactive natural/synthetic molecules comprising benzenoid aromatic residue. However, non‐benzenoid aromatic scaffolds such as tropone and tropolone are also found in natural products. This report describes the synthesis of unusual cationic troponyl‐oxazolidine derivatives from N‐troponyl‐amino acids/peptides by Pd(II)‐catalyzed transformation. X‐ray studies confirm the formation of the first tropylium cation annelated oxazolidine structures and support the formation of unique supramolecular self‐assembly structures owing to the H‐bonding. The CV studies of new tropylium cations reveal their reduction potential ca −1.2 V. Hence, cationic troponyl‐oxazolidinyl amino acids/peptides could be promising analogs of benzoxazolidine for the development of therapeutic drugs.

The roles and patterns of critical care pharmacists: a literature review and practical operation model in China

Drug-related problems (DRPs) are prevalent in critically ill patients and may significantly increase mortality risks. The participation of critical care pharmacists (CCPs) in the medical team has demonstrated a benefit to healthcare quality. Research indicates that CCP medication order evaluations can reduce DRPs, while their participation in rounds can reduce adverse drug events and shorten hospital stays. Pharmacist medication reconciliation often proves more effective than physicians, and CCPs play a crucial role in antimicrobial management and reducing treatment costs. Despite these benefits, there is a noticeable lack of practical guidance for implementing CCP roles effectively. Their workflow heavily influences the efficiency of CCPs. Integrating results from the literature with our practical experience, we have detailed workflows and critical entry points that CCPs can refer to. Pharmacists should be proactive rather than passive consultants. Pre-round medication order evaluations are crucial for determining the depth of a pharmacist’s involvement in patient care. These evaluations should cover the following aspects: medication indication, dosage, treatment duration, detection of DRPs, implementation of therapeutic drug monitoring, dosing of sedatives and analgesics, and pharmaceutical cost containment. Beyond identifying medication issues, a primary task during rounds is gathering additional information and building trust with the medical team. Post-round responsibilities for CCPs include patient and caregiver education on medication, medication reconciliation for transitioning patients, and follow-up care for post-ICU patients. Establishing a rationalized and standardized workflow is essential to minimize daily work omissions and maximize the pharmacist’s value. A multidisciplinary pharmacist-led team can significantly promote the rational use of antibiotics. Participation in post-ICU outpatient follow-ups can reduce drug-induced injuries after discharge. This review provides a detailed overview of the tasks performed by CCPs before, during, and after medical rounds, serving as a valuable reference for establishing an efficient workflow for CCPs.

Therapeutic Drug Monitoring of Antimicrobial Drugs in Children with Cancer: A New Tool for Personalized Medicine.

The risk of fungal, bacterial, and viral infections is higher in children with hematological and solid malignancies, particularly during periods of profound neutropenia. Although early administration of antimicrobial agents is common, optimizing pharmacological therapy in pediatric patients with cancer is challenging because of their variable pharmacokinetics compared with adults, including differences in body mass and augmented renal clearance, as well as chemotherapy-induced organ toxicity. Therapeutic drug monitoring, which involves measuring drug concentrations in serum or plasma at specific timepoints and adjusting doses accordingly, can be applied to various medications. While standardized targets for all antimicrobial agents in children are lacking, therapeutic drug monitoring appears to be beneficial in preventing serious toxicity and addressing treatment failure or non-compliance. This narrative review aims to analyze current perspectives on therapeutic drug monitoring for antimicrobial drugs in the special population of children with hematological or oncological diseases, including those undergoing hematopoietic cell transplantation. The review provides evidence on the clinical benefits of this method and explores potential future developments in this area.

Clinical Pharmacology of Celecoxib

Clinical Pharmacology of Celecoxib

Evaluating in vivo data for drug metabolism and transport: lessons from Kirchhoff’s Laws

Mechanistic models of hepatic clearance have been evaluated for more than 50 years, with the first author of this mini-review serving as a co-author of the first paper proposing such a model. However, published quality experimental data are only consistent with the first of these models, designated as the well-stirred model, despite the universal recognition that this model is physiologically unrepresentative of what occurs with respect to liver metabolism and transport. Within the last 3 years, our laboratory has recognized that it is possible to derive clearance equations employing the concepts of Kirchhoff’s Laws from physics, independent of the differential equation approach that has been utilized to derive reaction rates in chemistry. Here we review our published studies showing that the equation previously believed to be the well-stirred model, when hepatic basolateral transporters are not clinically relevant, is in fact the general equation for hepatic clearance when only systemic drug concentrations are measured, explaining why all experimental data fit this equation. To demonstrate that the equations deriving the mechanistic models of hepatic elimination for the past 50 years are not valid, we show that when calculating Kpuu, the ratio of unbound drug concentration in the liver to the unbound concentration of drug in the systemic circulation, for the well-stirred, parallel tube and dispersion models, Kpuu surprisingly can never exceed 1 and is a function of FH, the hepatic bioavailability following oral dosing. We believe that knowledgeable drug metabolism scientist and clinical pharmacologist will agree that this outcome is nonsensical.

In silico discovery of druggable targets in Citrobacter koseri using echinoderm metabolites and molecular dynamics simulation

Citrobacter koseri causes infection in people who are immunocompromised. Without effective antibiotics, these infections can become severe and life-threatening, so effective drugs are essential to treat these infections. Utilizing subtractive genomics, 2699 ORFs were predicted and translated into amino acid sequences. Metabolic pathway analysis and subcellular localization helped define the roles of key bacterial proteins. Two druggable proteins, WP_012000829.1 and WP_275157394.1, were discovered as promising targets. Alpha Fold provided 3D structures, and a library of 1600 echinoderm metabolites was docked against these proteins, with Ampicillin, Levofloxacin, and Doxycycline as controls. Notably, CMNPD13085 and CMNPD15632 exhibited the highest binding affinities for WP_012000829.1 and WP_275157394.1, respectively. Molecular dynamics simulations and MM-GBSA binding free energy complemented docking results. However, acknowledging the reliance on computational validations, the study emphasizes the need for essential in-vitro research to transform these potential inhibitors into therapeutic drugs.

Drug resistance and possible therapeutic options against influenza A virus infection over past years.

Influenza A virus infection, commonly known as the flu, has persisted in the community for centuries. Although we have yearly vaccinations to prevent seasonal flu, there remains a dire need for antiviral drugs to treat active infections. The constantly evolving genome of the influenza A virus limits the number of effective antiviral therapeutic options. Over time, antiviral drugs become inefficient due to the development of resistance, as seen with adamantanes, which are now largely ineffective against most circulating strains of the virus. Neuraminidase inhibitors have long been the drug of choice, but due to selection pressure, strains are becoming resistant to this class of drugs. Baloxavir marboxil, a drug with a novel mode of action, can be used against strains resistant to other classes of drugs but is still not available in many countries. Deep research into nanoparticles has shown they are effective as antiviral drugs, opening a new avenue of research to use them as antiviral agents with novel modes of action. As this deadly virus, which has killed millions of people in the past, continues to develop resistance, there is an urgent need for new therapeutic agents with novel modes of action to halt active infections in patients. This review article covers the available therapeutic antiviral drug options with different modes of action, their effectiveness, and resistance to various strains of influenza A virus.

Two new flavonoid glucosides from Penthorum chinense Pursh

Two new flavonoids, Alpinetin-7-O-[3’’-O-galloyl-4’’,6’’-hexahydroxy­diphenoyl]-β-D-glucose (1), Pinocembrin-7-O-[4’’-O-galloyl]-β-D-glucose (2), and three known compound (3-5) were isolated from Penthorum chinense Pursh (Saxifragaceae). The structures of all compounds were deduced from their comprehensive spectroscopic analysis including IR, HR-ESI-MS,1H NMR,13C NMR, DEPT, COSY, HMBC and HMQC. Molecular docking model was used to test the anti-cholestatic liver activities of the isolated compounds, and compounds 1 and 2 showed higher docking scores (-9.90 and −11.27 kcal/mol, respectively) binding with FXR than 3, 4 and 5 (-8.00, −9.77, −9.10 kcal/mol, respectively), suggesting 1 and 2 exhibited potential anti-cholestatic activities. The present results show that P. chinense is a potential source of 2 new lead compounds that can be utilised to produce therapeutic drugs for liver diseases upon further studies.

Therapeutic drug monitoring of tenofovir disoproxil and emtricitabine in oral HIV pre-exposure prophylaxis (PrEP) users who have undergone gastrointestinal surgery.

Oral HIV pre-exposure prophylaxis (PrEP) is highly effective in preventing HIV, but its efficacy depends on adequate absorption of drug, which may decrease following gastrointestinal surgery. Clinicians across eight Genito-urinary Medicine clinics in the United Kingdom submitted data on PrEP users with history of gastrointestinal surgery who were referred to a national complex PrEP multi-disciplinary team between June 2021 and April 2023. Anonymised data were submitted on demographics, surgical history, PrEP regimen, and results of therapeutic drug monitoring (TDM) and HIV screening tests. Descriptive analyses were performed in SPSS version 29. Nine cases described cis-gender men-who-have-sex-with-men (MSM) with median age of 47.4 years (IQR = 43 - 56.5) taking tenofovir disoproxil (TDF)/emtricitabine (FTC) daily (n = 8) or event-based (n = 1) as PrEP. Median time between PrEP initiation and TDM was 53 days (IQR = 8.5-1705). The mean (±SD) trough concentration of tenofovir (TFV) and FTC were 90.2 ± 27.7ng/mL and 76.0 ± 45.9ng/mL, respectively. All patients had a negative HIV test at follow-up. Plasma trough concentrations of TFV observed in our cohort taking TDF/FTC were above the expected concentrations associated with PrEP efficacy as previously described in the literature, suggesting that PrEP can be safely given in this population, with TDM used for reassurance.

Clozapine Toxicity Predictor: Deep neural network model predicting clozapine toxicity and its therapeutic dose range

Clozapine is the gold standard for treatment-resistant schizophrenia; however, its superior efficacy is accompanied by potentially serious adverse events (neutropenia, seizures, constipations, pneumonia), many of which are also concentration-dependent. As such, clozapine dose titration should be guided by therapeutic drug monitoring (TDM). However, access to TDM is often limited. The present study describes a new deep neural network that can predict the concentrations, toxicity and therapeutic dose range for clozapine and norclozapine. The model was trained on basic clinical data (biological sex, age, clozapine daily dose, BMI, CRP and number of CYP 1A2 and 3A4 substrates, inhibitors and inducers) from 69 patients with treatment-refractory patients treated with different clozapine doses. Our findings provide the training efficacy data for the model, as well as an analysis of clozapine and norclozapine blood concentrations in a test group of three additional patients, to demonstrate its practical capabilities. The model is licensed on a free and permissive 2-Clause BSD license and is available to all clinicians; it can be accessed as a web application, available at https://csk.umed.pl/clotop.

Green Synthesis, Structural Insights, and Antimicrobial Potential of Zinc Oxide Nanoparticles Synthesized via Sustainable Method

Background: Green synthesized nanoparticles have gained wide interest in today’s world due to their inherent features like rapidity, eco-friendliness, and costeffectiveness [4].In this study, zinc oxide (ZnO) nanoparticles were synthesized using an aqueous extract of Ixora coccinea leaves. X-ray diffraction (XRD) and Transmission Electron Microscopy (TEM) studies were used to analyze the structural and morphological properties of prepared Zinc Oxide nanoparticles. Methods: The sol-gel method of synthesis via the green route was introduced to synthesize pure Zinc oxide nanoparticles. Silver-doped Zinc Oxide nanoparticles were also prepared using the same method Result: The XRD studies showed the crystalline nature and revealed the purity of Zinc Oxide nanoparticles. The specific functional groups responsible for reduction, stabilization, and capping agents present in the nanoparticles were examined using Fourier Transform Infrared Spectroscopy (FTIR) spectroscopy. The bacterial destruction was better for ZnO nanoparticles than reported for plant extracts and standard drugs. Conclusion: This study proves that Zinc Oxide nanoparticles contain natural antimicrobial agents through green synthesis, which may serve to produce drugs for antimicrobial therapeutics.

Non-classical hormones from the fibroblast growth factor family

Fibroblast growth factors (FGFs) are a group of signaling molecules named for their ability to promote the growth and proliferation of fibroblasts and various other cell types. Typically, FGFs exert their effects locally by binding to receptors within the tissues where they are synthesized. However, certain members of this family, such as FGF 19, FGF 21, and FGF 23, diverge from this pattern. Following synthesis, these FGFs enter the bloodstream and act on distant organs and tissues by binding to their receptors and associated cofactors, thereby classified as non-classical hormones within the FGF family.The biological functions of FGFs are diverse and contingent upon the specific receptors and cofactors involved in their signaling pathways. For instance, FGF 19 and FGF 21 play crucial roles in regulating glucose and lipid metabolism, whereas FGF 23 primarily influences phosphorus metabolism. Given their varied roles, FGFs present promising targets for therapeutic interventions and drug development.This review aims to consolidate current understanding of FGF family hormones, elucidating their biological impacts and exploring their potential applications as therapeutic targets.

Exploration of common pathogenesis and candidate hub genes between HIV and monkeypox co-infection using bioinformatics and machine learning

This study explored the pathogenesis of human immunodeficiency virus (HIV) and monkeypox co-infection, identifying candidate hub genes and potential drugs using bioinformatics and machine learning. Datasets for HIV (GSE 37250) and monkeypox (GSE 24125) were obtained from the GEO database. Common differentially expressed genes (DEGs) in co-infection were identified by intersecting DEGs from monkeypox datasets with genes from key HIV modules screened using Weighted Gene Co-Expression Network Analysis (WGCNA). After gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis and construction of protein-protein interaction (PPI) network, candidate hub genes were further screened based on machine learning algorithms. Transcriptional factors (TFs) and miRNA-candidate hub gene networks were constructed to understand regulatory mechanisms and protein-drug interactions to identify potential therapeutic drugs. Seven candidate hub genes—MX2, ADAR, POLR2H, RPL5, IFI16, IFIT2, and RPS5—were identified. TFs and miRNAs associated with these hub genes, playing a key role in regulating viral infection and inflammation due to the activation of antiviral innate immunity, were also identified through network analysis. Potential therapeutic drugs were screened based on these hub genes: AZT, a nucleotide reverse transcriptase inhibitor, suppressed viral replication in HIV and monkeypox co-infection, while mefloquine inhibited inflammation due to the activation of antiviral innate immunity. In conclusion, the study identified candidate hub genes, their transcriptional regulation, signaling pathways, and small-molecule drugs in HIV and monkeypox co-infection, contributing to understanding the pathogenesis of HIV and monkeypox co-infection and informing precise therapeutic strategies.

L858R/L718Q and L858R/L792H Mutations of EGFR Inducing Resistance Against Osimertinib by Forming Additional Hydrogen Bonds.

Acquired resistance to first-line treatments in various cancers both promotes cancer recurrence as well as limits effective treatment. This is true for epidermal growth factor receptor (EGFR) mutations, for which secondary EGFR mutations are one of the principal mechanisms conferring resistance to the covalent inhibitor osimertinib. Thus, it is very important to develop a deeper understanding of the secondary mutational resistance mechanisms associated with EGFR mutations arising in tumors treated with osimertinib to expedite the development of innovative therapeutic drugs to overcome acquired resistance. This work uses all-atom molecular dynamics (MD) simulations to investigate the conformational variation of two reported EGFR mutants (L858R/L718Q and L858R/L792H) that resist osimertinib. The wild-type EGFR kinase domain and the L858R mutant are used as the reference. Our MD simulation results revealed that both the L718Q and L792H secondary mutations induce additional hydrogen bonds between the residues in the active pocket and the residues with the water molecules. These additional hydrogen bonds reduce the exposure area of C797, the covalent binding target of osimertinib. The additional hydrogen bonds also influence the binding affinity of the EGFR kinase domain by altering the secondary structure and flexibility of the amino acid residues in the domain. Our work highlights how the two reported mutations may alter both residue-residue and residue-solvent hydrogen bonds, affecting protein binding properties, which could be helpful for future drug discovery.

Inhibition of Aβ Aggregation and Tau Phosphorylation with Functionalized Biomimetic Nanoparticles for Synergic Alzheimer's Disease Therapy.

The main pathological mechanisms of Alzheimer's Disease (AD) are extracellular senile plaques caused by β-amyloid (Aβ) deposition and intracellular neurofibrillary tangles derived from hyperphosphorylated Tau protein (p-Tau). However, it is difficult to obtain a good curative effect because of the poor brain bioavailability of drugs, which is attributed to the blood-brain barrier (BBB) restriction and complicated brain conditions. Herein, HM-DK was proposed for synergistic therapy of AD by using hollow mesoporous manganese dioxide (HM) as a carrier to deliver an Aβ-inhibiting peptide and a Dp-peptide inhibitor of Tau-related fibril formation synergistically. Inspired by 4T1 cancer cells promoting BBB penetration during brain metastasis, a prospective biomimetic nanocarrier (HM-DK@CM) encapsulated by 4T1 cell membranes was designed. After crossing the BBB, HM-DK@CM inhibited Aβ aggregation and prevented Tau phosphorylation simultaneously. Moreover, by taking advantage of the catalase-like activity of HM, HM-DK@CM relieved oxidative stress and altered the microenvironment associated with the development of AD. Compared with the single therapeutic drug, HM-DK@CM restored nerve damage and improved AD mice's learning and memory abilities by decreasing Aβ oligomer, p-Tau protein, and inflammation through various pathways for synergistic therapy, which has broad prospects for the effective treatment of AD.

Effect of bariatric surgery on the pharmacokinetics of drugs used for attention-deficit hyperactivity disorder-A case series.

Changes in gastrointestinal physiology following bariatric surgery may affect the pharmacokinetics of drugs. Data on the impact of bariatric surgery on drugs used for attention-deficit/hyperactivity disorder (ADHD) are limited. In patients treated with ADHD medication and undergoing bariatric surgery, serial drug concentrations were measured for 24 h preoperatively and one, six and 12months postoperatively. Primary outcome was change in area under the concentration-time curve from 0 to 24 h (AUC0-24), with other pharmacokinetic variables as secondary outcomes. Eight patients treated with lisdexamphetamine (n= 4), dexamphetamine (n= 1), methylphenidate (n= 1) and atomoxetine (n= 2) were included. In total, 409 samples were analysed. Patients underwent sleeve gastrectomy (n= 5) and Roux-en-Y gastric bypass (n= 3). AUC0-24 and Cmax of dexamphetamine increased after surgery in those using the prodrug lisdexamphetamine. There was no clear-cut reduction in tmax postoperatively. For ritalinic acid and atomoxetine, no changes in AUC0-24 were observed, but for atomoxetine, a higher Cmax and a shorter tmax were observed postoperatively. Bariatric surgery may increase the systemic exposure of dexamphetamine after intake of lisdexamphetamine. Patients using lisdexamphetamine should be followed with regard to adverse drug reactions after bariatric surgery, and, if available, therapeutic drug monitoring should be considered.

Modernizing the assessment and reporting of adverse events in oncology clinical trials using complementary statistical approaches: a case study of the MOTIVATE trial.

The reporting of adverse events (AEs) is fundamental to characterize safety profiles of novel therapeutic drug classes, however, conventional analysis strategies are suboptimal tools for this task. We therefore attempted to contribute to the modernization of AE analysis by encompassing the dimension of time, the duration and the recurrent nature of AEs induced by these extended treatment durations. This paper presents and highlights the benefits of alternative approaches to modernize AE analysis based on the MOTIVATE prospective study modeling immune-related AEs (irAEs) in patients with solid tumors (regardless of the primary site) treated with immune checkpoint inhibitor irrespective of disease stage. The probability of presenting an irAE over time was estimated using the prevalence function. The time-to-onset (TTO) and the mean number of recurrent irAEs were also assessed. Among the 147 patients analyzed, 39.7% had a melanoma, 37.7% a non-small cell lung cancer (NSCLC) and 74.8% were treated for metastatic disease. Despite a higher proportion of melanoma patients presenting at least one irAE, the prevalence of irAEs was lower in melanoma than in NSCLC patients over time. TTO analysis showed that irAEs occurred earlier in NSCLC patients whereas melanoma patients experienced more recurrent irAEs over the long-term. The prevalence function of non-metastatic and metastatic patients revealed different long-term toxicity profiles. These alternative methodologies capture different toxicity patterns (time-to-onset, recurrent, acute episodic or long-term moderate AEs) and provide a more consistent safety assessment for new therapeutics, thereby assisting clinicians and health authorities in their therapeutic decision-making processes.

Informing pregnancy dose via target-mediated drug disposition modeling and simulations for a recombinant human monoclonal antibody.

RLYB212 is a human monoclonal anti-human platelet antigen (HPA)-1a immunoglobulin gamma 1 in clinical development as a subcutaneous injection for the prevention of maternal alloimmunization to fetal HPA-1a leading to fetal and neonatal alloimmune thrombocytopenia (FNAIT). This analysis developed a target-mediated drug disposition (TMDD) model to simultaneously characterize RLYB212 pharmacokinetics (PK) and HPA-1a-positive platelet dynamics in HPA-1b/b (HPA-1a-negative) volunteers. The model was then used to perform simulations to inform a dosing regimen in a phase II clinical study in pregnant women, where simulations accounted for physiological changes throughout pregnancy. Allometric scaling (0.75) for clearance and intercompartment transfer rate and volume (1) was included in the base model to account for variations in body weight. A 0.06 mg RLYB212 dose with a loading dose of 0.12 mg was identified as the optimal dosing regimen of RLYB212, which maintained exposures below the target upper boundary of ~10 ng/mL throughout pregnancy. This work presents an application of the TMDD model that advances the quantitative clinical pharmacology toolkit to understand monoclonal antibody PK in pregnancy.

Genomics-driven integrative analysis highlights immune-related plasma proteins for psychiatric disorders

BackgroundGenome-wide association studies (GWAS) have identified numerous variants associated with psychiatric disorders. However, it remains largely unknown on how GWAS risk variants contribute to psychiatric disorders. MethodsThrough integrating two largest, publicly available, independent protein quantitative trait loci datasets of plasma protein and nine large-scale GWAS summary statistics of psychiatric disorders, we first performed proteome-wide association study (PWAS) to identify psychiatric disorders-associated plasma proteins, followed by enrichment analysis to reveal the underlying biological processes and pathways. Then, we conducted Mendelian randomization (MR) and Bayesian colocalization (COLOC) analyses, with both discovery and parallel replication datasets, to further identify protein-disorder pairs with putatively causal relationships. We finally prioritized the potential drug targets using Drug Gene Interaction Database. ResultsPWAS totally identified 112 proteins, which were significantly enriched in biological processes relevant to immune regulation and response to stimulus including regulation of immune system process (adjusted P = 1.69 × 10−7) and response to external stimulus (adjusted P = 4.13 × 10−7), and viral infection related pathways, including COVID-19 (adjusted P = 2.94 × 10−2). MR and COLOC analysis further identified 26 potentially causal protein-disorder pairs in both discovery and replication analysis. Notably, eight protein-coding genes were immune-related, such as IRF3, CSK, and ACE, five among 16 druggable genes were reported to interact with drugs, including ACE, CSK, PSMB4, XPNPEP1, and MICB. ConclusionsOur findings highlighted the immunological hypothesis and identified potentially causal plasma proteins for psychiatric disorders, providing biological insights into the pathogenesis and benefit the development of preventive or therapeutic drugs for psychiatric disorders.

Therapeutic drug monitoring in children and adolescents with schizophrenia-spectrum, affective, behavioural, tic and other psychiatric disorders treated with aripiprazole: results of the TDM-VIGIL pharmacovigilance study.

Aripiprazole is approved for various severe mental disorders in adults and adolescents. However, off-label prescribing is common, especially in children and adolescents (youth) in whom aripiprazole therapeutic serum level reference ranges are lacking for any disorders. The aim of the study was to evaluate the relationship between aripiprazole dose and serum concentrations and provide further knowledge on the use of aripiprazole in order to improve drug safety and effectiveness in the treatment of minors. The clinical course of youth treated with aripiprazole in the multicentre pharmacovigilance study TDM-VIGIL was systematically followed and serum concentrations measured. Sex, age, weight and comedications were analysed to identify possible effect modifiers. A preliminary therapeutic reference range was estimated for youth with schizophrenia-spectrum disorders, affective disorders and behavioural/emotional/tic disorders coded as treatment responders based on a Clinical-Global Impressions-Improvement (CGI-I) score of much or very much improved. In 93 youth (mean age = 15.2 ± 2.6, range = 7.4-18.2 years, females = 53%, CGI-Severity = 4.4 ± 1.1, responders = 64%), a positive, moderate correlation between the weight-normalized daily dose (WNDD) and aripiprazole serum concentration (=0.791, p < 0.0001) was found. The WNDD and co-medications that interact with CYP2D6 and CYP3A4 affected aripiprazole serum levels, explaining 64% of the variance. In patients within the preliminary therapeutic ranges determined by interquartile ranges (IQRs), slightly better outcomes and fewer adverse drug reactions were found versus patients within preliminary therapeutic ranges determined by the mean ± SD. The preliminary reference range for paediatric patients with schizophrenia-spectrum disorders calculated by the IQR showed an identical lower threshold (100-230 ng/ml) compared to adult schizophrenia-spectrum disorders patients (100-350 ng/ml). The preliminary therapeutic ranges for patients with affective disorders was: 60-160 ng/ml and for patients with behavioural/tic disorders 60-140 ng/ml. The therapeutic reference ranges for aripiprazole in youth estimated via the 25th and 75th IQRs may result in more clinically relevant therapeutic windows. Further studies need to confirm these results, especially in patients with affective and behavioural/tic disorder diagnoses.