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Pharmacogenomics and Personalized Medicine
Article . 2022 . Peer-reviewed
License: CC BY NC
Data sources: Crossref
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Dove Medical Press
Article . 2022 . Peer-reviewed
Data sources: Dove Medical Press
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Prescription Advice Based on Data of Drug-Drug-Gene Interaction of Patients with Polypharmacy

Authors: Sandro Salamone; Sara Spirito; Maurizio Simmaco; Marius Unger; Saskia Preissner; Björn-Oliver Gohlke; Andreas Eckert; +1 Authors

Prescription Advice Based on Data of Drug-Drug-Gene Interaction of Patients with Polypharmacy

Abstract

Pharmacogenetic counselling is a complex task and requires the efforts of an interdisciplinary team, which cannot be implemented in most cases. Therefore, simple rules could help to minimize the risk of medications incompatible with each other or with frequent genetic variants.One hundred and eighty-four multi-morbid Caucasian patients suffering from side effects or inefficient therapy were enrolled and genotyped. Their medication was analyzed by a team of specialists using Drug-PIN® (medication support system) and individual recommendations for 34 drug classes were generated.In each of the critical drug classes, 50% of the drugs cannot be recommended to be prescribed in typical drug cocktails. PPIs and SSRI/SNRIs represent the most critical drug classes without showing a single favorable drug. Among the well-tolerated drugs (not recommended for less than 5% of the patients) are metamizole, celecoxib, olmesartan and famotidine. For each drug class, a ranking of active ingredients according to their suitability is presented.Genotyping and its profound analysis are not available in many settings today. The consideration of frequent alterations of metabolic elimination routes and drug-drug-gene interactions by using simple rankings can help to avoid many incompatibilities, side effects and inefficient therapies.

Country
Italy
Keywords

cyps, cyps; ddgis; personalized medicine; precision medicine; single nucleotide polymorphisms; transporter, precision medicine, personalized medicine, RM1-950, single nucleotide polymorphisms, Pharmacogenomics and Personalized Medicine, transporter, ddgis, Therapeutics. Pharmacology, Original Research

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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gold