Pharmacogenomics

A special issue of Life (ISSN 2075-1729). This special issue belongs to the section "Pharmaceutical Science".

Deadline for manuscript submissions: closed (31 December 2020) | Viewed by 2550

Special Issue Editor


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Special Issue Information

Dear Colleagues,

It is a great pleasure for me to accept the kind invitation to serve as Editor of an Special Issue on “Pharmacogenomics”. I think that this is a timely initiative which will be of interest to most medical disciplines. Cardiovascular disorders (25%–30%), cancer (20%–25%) and brain disorders (10%–15%) represent over 60%–70% of morbility and mortality in developed countries. Approximately 10%–20% of direct costs for disease management are attributed to pharmacological treatment, and, unfortunately, it is estimated that drug efficacy is restricted to 20%–30% of the cases treated with a particular drug in almost any medical specialty. Many different factors influence drug efficacy and safety, including the chemical properties of a drug, route of administration, disease stage, nutrition, compliance, drug–drug interactions, and pharmacogenomics.

In the coming years, the onset of a revolutionary transformation of protocols and strategies for drug development is expected. Pharmacogenomics is one of the doors to enter the complex building of personalized medicine.

The Regulatory Agencies should make recommendations to the pharmaceutical industry in favor of the introduction of pharmacogenomics in drug development and the inclusion of pharmacogenomic information on drug labels, with specific warnings for the population at risk. Educational programs are fundamental for drug prescribers to become familiar with personalized treatments. Pharmacogenetic testing should be gradually introduced into medical practice. The introduction of pharmacogenomics in routine clinical practice is fundamental for optimizing therapeutics and for reducing adverse drug reactions (ADRs), which are a major health concern worldwide. There are multiple causes of ADRs, some of which are preventable. Pharmacogenomics accounts for ≈80% variability in drug efficacy and safety. Over 400 genes are clinically relevant in drug metabolism, and ≈200 pharmagenes are associated with ADRs. The condition of extensive metabolizers in the Caucasian population is lower than 20%, and about 60% of patients are exposed to potential ADRs.

I would like to invite all of you, experts and beginners in the field of pharmacogeneomics, to contribute to this Special Issue with your ideas for accelerating the implementation of pharmacogenomic procedures in drug development and clinical practice.

You may choose our Joint Special Issue in International Journal of Molecular Sciences.

Prof. Dr. Ramón Cacabelos
Guest Editor

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Keywords

  • Pharmacogenomics of cardiovascular disorders
  • Pharmacogenomics of cancer
  • Pharmacogenomics of brain disorders
  • Pharmacogenomics of metabolic and endocrine disorders
  • Pharmacogenomics of gastrointestinal disorders
  • Pharmacogenomics of lipid metabolism disorders
  • Pharmacoepigenomics of pain
  • Pharmacogenomics of psychotropic drugs
  • Neurodegenerative disorders (Alzheimer, Parkinson, multiple sclerosis)
  • Pharmacogenomics of antineoplastic drugs
  • Pharmacoepigenomics

Published Papers (1 paper)

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Research

14 pages, 235 KiB  
Article
The Association of 3-Hydroxy-3-Methylglutaryl-CoA Reductase, Apolipoprotein E, and Solute Carrier Organic Anion Genetic Variants with Atorvastatin Response among Jordanian Patients with Type 2 Diabetes
by Hussam Alhawari, Yazun Jarrar, Mohammad Ahmad AlKhatib, Hussein Alhawari, Munther Momani, Ayman Zayed, Ruba Alkamhawi and Malek Zihlif
Life 2020, 10(10), 232; https://0-doi-org.brum.beds.ac.uk/10.3390/life10100232 - 05 Oct 2020
Cited by 8 | Viewed by 1933
Abstract
Atorvastatin is commonly used among type 2 diabetic (DM2) patients at the University of Jordan Hospital to prevent cardiovascular complication. However, we noticed that there is a wide inter-individual variation in the efficacy and toxicity of atorvastatin. This study aimed to find out [...] Read more.
Atorvastatin is commonly used among type 2 diabetic (DM2) patients at the University of Jordan Hospital to prevent cardiovascular complication. However, we noticed that there is a wide inter-individual variation in the efficacy and toxicity of atorvastatin. This study aimed to find out the effects of major genetic variants in 3-Hydroxy-3-Methylglutaryl-CoA Reductase (HMGCR), Apolipoprotein E (APOE), and Solute Carrier Organic Anion (SLCO1B1) genes on atorvastatin response among DM2 patients. A sample of 139 DM2 patients on 20 mg of atorvastatin was included in this study. The lipid and glycemic profile and the levels of hepatic enzymes alanine aminotransferase (ALT) and aspartate transaminase were recorded before and after 3 months of atorvastatin treatment. Additionally, the genetic variants HMGCR rs17244841,APOE rs7412 and rs429357, and SLCO1B1 rs2306283 and rs11045818 were genotyped using an Applied Biosystems DNA sequencing method (ABI3730×1). We found that atorvastatin reduced total cholesterol and low-density lipoprotein (LDL) more significantly (p-value < 0.05) in patients with wild genotype than variant alleles APOE rs7412C > T and SLCO1B1 rs2306283A > G. Furthermore, the ALT level was elevated significantly (p-value < 0.05) by 27% in patients with heterozygous SLCO1B1 rs11045818 G/A genotype, while it was not elevated among wild genotype carriers. Additionally, atorvastatin reduced total cholesterol more significantly (p-value < 0.05) in patients with SLCO1B1 rs2306283A and rs11045818G haplotypes and increased ALT levels by 27% (p-value < 0.05) in patients with SLCO1B1 rs2306283G and rs11045818A haplotypes. In conclusion, it was found in this study that APOE rs7412, SLCO1B1 rs2306283, and rs11045818 genotypes can be considered as potential genetic biomarkers of atorvastatin response among DM2 patients of Jordanian Arabic origin. Further clinical studies with larger sample numbers are needed to confirm these findings. Full article
(This article belongs to the Special Issue Pharmacogenomics)
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