Aug 2026· British Journal of Clinical Pharmacology· 0 citations· 38 references
Medicine
TL;DR
It is suggested that PGx information may have meaningful clinical utility for improving prescribing practices in acute care, however, interpretation in this population requires careful consideration of other factors such as nutritional status and inflammation that may modify pharmacogene activity.
Abstract
Aims
Safe prescribing and effective medication review during acute hospitalization depends on accurate information about liver and kidney function because these organs are responsible for the elimination of most medications. While estimates for kidney function are widely used, comparable markers of hepatic drug-metabolizing capacity are not routinely available. We evaluated the clinical relevance of pharmacogenomic (PGx) information for key pharmacogenes implicated in medication elimination in older adults presenting to the emergency department.
Methods
Fourteen pharmacogenes were analysed using the Personal Medicine Profile™ test. GeneYouIn PillCheck™ software performed genotype-to-phenotype translations, identified drug-gene interactions (DGIs) and generated a clinical decision report based on each patient's actual medication use.
Results
Among 125 acutely admitted older medical patients (median age 78.3 years; 10 medications; 7 chronic diseases), PGx testing identified 88 DGIs across 63 patients (50.4%). Of these, 46.5% were considered by clinical experts to be clinically relevant for the individual patient, affecting 33 patients (26.4%) in the total study population. Frequently implicated pharmacogenes included CYP2C19 (25.0%), SLCO1B1 (25.0%), CYP2D6 (20.5%), CYP2C9 (14.8%) and OPRM1 (6.8%), and frequently implicated medications included losartan (13.6%), pantoprazole (12.5%), simvastatin (12.5%), atorvastatin (11.4%) and metoprolol (11.4%).
Conclusion
With more than one-quarter of acutely admitted older medical patients having one or more clinically relevant DGIs, these findings suggest that PGx information may have meaningful clinical utility for improving prescribing practices in acute care. However, interpretation in this population requires careful consideration of other factors such as nutritional status and inflammation that may modify pharmacogene activity.
BACKGROUND
Since aging is associated with pharmacokinetic and pharmacodynamic changes, polypharmacy is particularly harmful in older adults. Meanwhile, clinical pharmacists contribute to safer prescribing by applying their clinical expertise during medication review. Therefore, this study aimed to characterize potentia...
PGx-guided prescribing may support improved antidepressant response and tolerability while reducing trial-and-error prescribing for treatment-resistant patients in primary care.
Cristina Beer, Fiona Rae, Mikayla Watt et al.· International Journal of Mol...· 0 citations
An opportunity for more personalized medicine for critically ill children admitted to a tertiary care hospital is highlighted and the strengths and weaknesses of exome sequencing are assessed to uncover pertinent PGx phenotypes.
PGx alerts in the medication dispensing module provide an additional safeguard for precision medicine, enabling pharmacists to make targeted interventions and provide patient education.
Amanda Massmann, Jordan F. Baye, Karly Blaalid et al.· Journal of the American Phar...· 0 citations
The integration of pharmacogenomics into routine healthcare has the potential to optimize individualized drug therapy, minimize preventable ADRs, and accelerate the transition toward precision medicine, ultimately improving clinical outcomes and healthcare quality.
Rayapudi Vasavi Sai Saraswati, U. Vattikuti, Arthika Chauhan Laudia et al.· International Journal of Cur...· 0 citations
The present case series highlights the need for regular active, interdisciplinary safety strategies, which should go beyond predominantly passive informative measures, during hospitalization of patients with complex or potentially dangerous regimens.
Franziska Janke, Christine Kessler, Michael Hartmann et al.· Journal of public health· 0 citations
StudentSim is a research system for evaluating and improving AI tutoring tools before they are tested with learners. It models how individuals may engage with tutors, giving feedback to improve tutor performance across subjects like chess, writing, and mathematics. The post Simulating student learning for better AI tutoring appeared first on Microsoft Research.
MIT News · Artificial Intelligence· news.mit.eduOct 6, 2026
Writing as a participant and researcher, PhD student JS Tan SM ’22 has co-authored a new book about the rise of tech worker protests and the employer backlash that followed.
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