Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.2217/pgs-2018-0052 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Response to azathioprine treatment in autoimmune hepatitis is dependent on glutathione transferase genotypes.
Dig Liver Dis
January 2025
Department of Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden; Department of Laboratory Medicine, Region Jönköping County, Jönköping, Sweden. Electronic address:
Background: Azathioprine (AZA) is part of the standard treatment for autoimmune hepatitis (AIH). The first step in the complex bioconversion of AZA to active metabolites is mediated by glutathione transferases (GSTs).
Aims: Elucidate the association between GSTM1 and GSTT1 copy number variation (CNV), genetic variation in GSTA2, GSTP1, and inosine-triphosphate-pyrophosphatase, and the response to AZA in AIH.
Exploring the Pharmacogenomic Map of Croatia: PGx Clustering of 522-Patient Cohort Based on UMAP + HDBSCAN Algorithm.
Int J Mol Sci
January 2025
St. Catherine Specialty Hospital, 10000 Zagreb, Croatia.
Pharmacogenetics is a branch of genomic medicine aiming to personalize drug prescription guidelines based on individual genetic information. This concept might lead to a reduction in adverse drug reactions, which place a heavy burden on individual patients' health and the economy of the healthcare system. The aim of this study was to present insights gained from the pharmacogenetics-based clustering of over 500 patients from the Croatian population.
View Article and Find Full Text PDFPharmacometabolomics Enables Real-World Drug Metabolism Sciences.
Metabolites
January 2025
Group of Authors on Behalf of the Transplant Lines Biobank and Cohort Study, University Medical Center Groningen, University of Groningen, Hanzeplein 1, 9700 RB Groningen, The Netherlands.
: Pharmacogenomics (PGx) has revolutionized personalized medicine, notably by predicting drug responses through the study of the metabolic genotype of drug-metabolizing enzymes. However, these genotypes rely heavily on the availability and completeness of drug metabolism information and do not account for (all) "phenoconversion" factors, like drug-drug interactions and comorbidities. To address these limitations, a more phenotypic approach would be desirable, for which pharmacometabolomics (PMx) could be useful by studying and elucidating drug metabolism in patient samples, such as blood and urine.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!