Cytochrome P450 2D6 (CYP2D6) is an enzyme with a large interindividual variability in its metabolic activity due to genetic polymorphisms. In the present study, both its intrinsic metabolic activity (CL(int,CYP2D6,app)) relative to extensive metabolizers (EM) and its variability were estimated by analyzing the urinary metabolic ratios (MR) based on the well-stirred model. Sparteine and debrisoquine were considered to be appropriate probes for our methodology, whereas dextromethorphan was not appropriate since the formation of its metabolite of interest is not described by the well-stirred model. From the analysis of MRs of sparteine and debrisoquine for Caucasian subjects in the literature, CL(int,CYP2D6,app) for intermediate metabolizers (IM) was estimated to be approximately 15% of that for EM. The coefficient of variability (CV) of CL(int,CYP2D6,app) was estimated to be approximately 60% for both EM and IM and 100% for the combined population of ultrarapid metabolizer, EM and IM [i.e., the non-poor metabolizer (non-PM) population]. Simulation of exposure in the non-PM population showed that the CV of exposure was 140% for dextromethorphan and 71% for metoprolol, which reflected the reported values of 110% and 53% for dextromethorphan and metoprolol, respectively. The present study should be useful for predicting the interindividual variability in exposure to investigational drugs that are metabolized by CYP2D6.
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http://dx.doi.org/10.2133/dmpk.25.243 | DOI Listing |
Glob Epidemiol
June 2025
Business Analytics (BANA) Program, Business School, University of Colorado, 1475 Lawrence St. Denver, CO 80217-3364, USA.
AI-assisted data analysis can help risk analysts better understand exposure-response relationships by making it relatively easy to apply advanced statistical and machine learning methods, check their assumptions, and interpret their results. This paper demonstrates the potential of large language models (LLMs), such as ChatGPT, to facilitate statistical analyses, including survival data analyses, for health risk assessments. Through AI-guided analyses using relatively recent and advanced methods such as Individual Conditional Expectation (ICE) plots using Random Survival Forests and Heterogeneous Treatment Effects (HTEs) estimated using Causal Survival Forests, population-level exposure-response functions can be disaggregated into individual-level exposure-response functions.
View Article and Find Full Text PDFIntensive Crit Care Nurs
January 2025
Department of Intensive Care Medicine, Hospital Universitario de La Princesa, Madrid, Spain; Centro de investigación en red CIBERES de enfermedades respiratorias, Instituto de Salud, Carlos III, Madrid, Spain. Electronic address:
Objectives: To analyse the effects on respiratory function, lung volume and the regional distribution of ventilation and perfusion of routine postural repositioning in mechanically ventilated critically ill patients.
Methods: Prospective descriptive physiological study. We evaluated gas-exchange, lung mechanics, and Electrical Impedance Tomography (EIT) determined end-expiratory lung impedance and regional ventilation and perfusion distribution in five body positions: supine-baseline (S1); first lateralisation at 30° (L1); second supine position (S2), second contralateral lateralisation (L2) and third final supine position (S3).
Psychoneuroendocrinology
January 2025
Department of Experimental Clinical and Health Psychology, Ghent University, Ghent, Belgium. Electronic address:
Telomere length (TL) is considered a biomarker of aging, and short TL in leukocytes is related to age and stress-related health problems. Cumulative lifetime stress exposure has also been associated with shorter TL and age-related health problems, but the mechanisms are not well understood. We tested in 108 individuals whether shorter TL in leukocytes is observed in individuals with the GABRA6 TT genotype, which has been associated with dysregulation of hypothalamic-pituitary-adrenal axis activity (the main biological stress system) compared to the CC genotype.
View Article and Find Full Text PDFEBioMedicine
January 2025
Institute of Immunology, Hannover Medical School, Hannover, Germany; Cluster of Excellence RESIST (EXC 2155), Hannover Medical School, Hannover, Germany; German Centre for Infection Research, Partner Site Hannover-Braunschweig, Hannover, Germany. Electronic address:
Background: Aging increases disease susceptibility and reduces vaccine responsiveness, highlighting the need to better understand the aging immune system and its clinical associations. Studying the human immune system, however, remains challenging due to its complexity and significant inter-individual variability.
Methods: We conducted an immune profiling study of 550 elderly participants (≥60 years) and 100 young controls (20-40 years) from the RESIST Senior Individuals (SI) cohort.
Pharmaceutics
December 2024
PerMed Research Group, Center for Health Technology and Services Research (CINTESIS), Rua Doutor Plácido da Costa, 4200-450 Porto, Portugal.
Background: Salbutamol, a short-acting β-agonist used in asthma treatment, is available in multiple formulations, including inhalers, nebulizers, oral tablets, and intravenous, intramuscular, and subcutaneous routes. Each formulation exhibits distinct pharmacokinetic (PK) and pharmacodynamic (PD) profiles, influencing therapeutic outcomes and adverse effects. Although asthma management predominantly relies on inhaled salbutamol, understanding how these formulations interact with patient-specific characteristics could improve personalized medicine approaches, potentially uncovering the therapeutic benefits of alternative formulations for an individual patient.
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