Current Pharmaceutical Biotechnology - Volume 18, Issue 3, 2017

The personalized medicine is an emergent and rapidly developing method of clinical practice that uses new technologies to provide decisions in regard to the prediction, prevention, diagnosis and treatment of disease. A continuous evolution of technology and the developments in molecular diagnostics and genomic analysis increased the possibility of an even more understanding and interpretation of the human genome and exome, allowing a “personalized” approach to clinical care, so that the concepts of “Systems Medicine” and “System Biology” are actually increasing. The purpose of this study is to evaluate the personalized medicine about its indications and benefits, actual clinical applications and future perspectives as well as its issues and health care implications. A careful review of the scientific literature on this field that highlighted the applicability and usefulness of this new medical approach as well as the fact that personalized medicine strategy is even more increasing in numerous fields of applications.

Although the clinical validity of a number of pharmacogenetic markers is nowadays a matter of fact, and led authoritative scientific consortia as the Dutch Pharmacogenetic Working Group (DPWG) and the Clinical Pharmacogenomics Implementation Consortium (CPIC) to publish pharmacogenetic guidelines, the clinical implementation in real life remains challenging. Ubiquitous Pharmacogenomics (U-PGx) program is a coordinated effort that put together scientific and clinical expertise in the pharmacogenomic field, to implement the pre-emptive pharmacogenomic approach in the clinical practice in Europe, and to demonstrate its benefit in both patients’ clinical outcome and quality of life, with an economic advantage for the healthcare system. The project is conceived as a clinical trial that will compare 4,000 patients, pre-emptively genotyped for a panel of pharmacogenes included in the DPWG guidelines, and treated accordingly, with 4,000 controls treated with the standard of care. All the genetic data will be prospectively collected and fully embedded into the patient’s clinical record. An electronic clinical decision support system will be developed to alert physicians and pharmacists when a drug is being prescribed or dispensed to a patient with a risky genotype. U-PGx will test and harmonize this approach in seven healthcare environments (The Netherlands, Spain, UK, Italy, Austria, Greece, Slovenia) to set the basis for a future European healthcare system where an ‘effective treatment optimization will be accessible to every European citizen’ (www.upgx.eu).

The decline of tissue function in ageing is a consequence of many changes in the gene expression and other extrinsic factors. The molecular mechanisms underlying these changes are heavily investigated with focus on regulation of time-lapse gene expression. microRNAs, short non-coding RNA molecules, are among the major regulators of gene expression. microRNAs have been shown to control ageing-related mechanisms and several evidences suggest age-related changes in microRNA transcriptome. However, the source regulator of time-lapse gene expression control still remains unknown. Here, we have reviewed microRNA molecules related to the ageing of bones and studies that investigated age-related bone tissue gene expression. We identified 41 microRNA molecules from the literature that correlate with bone mineral density or fractures and one recent study has demonstrated how a combination of several microRNAs can be used for better prediction of the fractures in osteoporotic patients. The personalised diagnostic algorithms in the future should be therefore based on the combination of multiple biomarkers. Until now, little is known about the regulatory mechanisms of microRNA expression and genes in ageing. We have proposed a link between telomere length and gene expression profiles, however this now needs to be further investigated.

Alcohol addiction or alcoholism is the most severe form of problem drinking. A variety of treatment methods for alcoholism are currently available that combine medications, behavioral treatment and peer support. The drugs that are currently approved by the U.S. Food and Drug Administration (FDA) for treatment of alcohol dependence are disulfiram, naltrexone and acamprosate. For many patients, however, these treatments are not effective. Evidence from a number of studies suggests that various factors, both psychosocial and economic, as well as genetic variation, are significant contributors to interindividual variation both of clinical presentation of alcohol problems and response to a given treatment. The aim of the present review is to summarize and discuss different aspects of personalized medicine of alcohol addiction. We focus on pharmacogenomics and beyond, to include the genetics and epigenetics of alcohol addiction as well as other psychosocial and even economic factors that may affect response to alcohol addiction pharmacotherapy. It is anticipated that, within the next 5-10 years, personalized medicine of alcohol addiction will be a reality and it will help reduce the burden of alcoholism from society and increase the well-being and productivity of individuals addicted to alcohol.

Introduction: Even if cardiovascular disease (CVD) drugs are supported by high level proofs, the results of CVD treatment present great disparities: there are still patients dying with supposed optimal treatment, patients facing adverse events and CVD remains the primary cause of death in the world. Pharmacogenomics is the basis of personalisation of the treatment able to allow higher medication success rates. In this review, we will present detailed examples of CVD drugs to highlight the complexity of this challenging field and we will discuss novel concepts that should be considered for a fastest integration of pharmacogenomics in clinical practice of CVD. Areas Covered: The complexity of pharmacogenetics and pharmacogenomics of CVD drugs are presented though examples of medications such as statins, with a focus on their effectiveness and adverse effects. Expert Opinion: The application of personalised medicine in the CVD medical practice requires the study of human genome with regard to drugs pharmacokinetics, pharmacodynamics, interactions and tolerance profile. The existing state –of-the-art of CVD drugs gives hopes for a future revolution in the drug development that will maximise cardiovascular patients benefit while decreasing their risks for adverse effects. Article Highlights Box: • Coronary heart disease (CHD) remains the first cause of death worldwide. • Cardiovascular treatment has a significant percentage of insufficient efficacy, poor tolerance and compliance. • Predicting the response to therapy while diminishing the side effects is the basis of personalised medicine; pharmacogenomics is leading towards this direction. • The response to CVD therapy and side effects are in the heart of CVD pharmacogenomics and significant progress has been noted. • The application of pharmacogenomics in the CVD medical practice is facing many methodological, technical, ethical, behavioral and financial issues, while cost-effectiveness is the main prerequisite. • The consideration of gene × gene × environment interactions and the inclusion of “omics” data in pharmacogenomic studies of CVD drugs will facilitate the generation of reliable results and will promote tailored treatments and new strategies of drug research and development.

Large-scale application of Personalized Medicine requires a multi-disciplinal environment allowing synergic cooperation among different competences. Strict collaboration between medical and medical sciences, as informatics, ethics, politics, are needed to face the challenges of one-sized healthcare. In spite of the increasing interest, how this system can be globally realized remains tentative. Yet, a relatively small, Personalised Healthcare Service is providing a proof-of principle organizational model to guide implementation into clinical practice.

Personalized medicine (PM) is becoming increasingly important in contemporary clinical and research scenarios. In the context of PM, pharmacogenomics and pharmacogenetics are aimed at the genetic personalization of drug response. Extrinsic and intrinsic factors may explain interindividual variability in drug response. Among such factors, age seems to specifically intervene to modulate drug response since normal developmental changes may influence the exposure-response relation. Consequently, the potential benefit of pharmacogenomics (PGx) in the paediatric population is considerable. However, many challenges still exist in incorporating PGx into clinical practice. In fact, drug prescribing in the paediatric population is often based on extrapolation from clinical trials conducted on adults as there is often a lack of paediatric data. Children are not just ‘small adults’, as they have their own pharmacological characteristics in terms of drug metabolism and efficacy, adverse drug reactions and toxicity. Although children might potentially benefit from such research, many ethical concerns arise at the intersection of the spheres of drug development and genetic testing. Children require particular attention because of their vulnerability both in research and the clinical applications of PGx; furthermore, children range from preterm newborns and neonates to infants and toddlers and to adolescents, thus forming a further heterogeneous target group. In this paper, we focus on some ethically relevant concerns (i.e., informed consent, stigmatization, ancillary information) that might arise as a result of the possible application of PGx tests in both paediatric practice and research.

Personalized medicine (PM), included in P5 medicine (Personalized, Predictive, Preventive, Participative and Precision medicine) is an innovative approach to the patient, emerging from the need to tailor and to fit the profile of each individual. PM promises to dramatically impact also on forensic sciences and justice system in ways we are only beginning to understand. The application of omics (genomic, transcriptomics, epigenetics/imprintomics, proteomic and metabolomics) is ever more fundamental in the so called “molecular autopsy”. Emerging fields of interest in forensic pathology are represented by diagnosis and detection of predisposing conditions to fatal thromboembolic and hypertensive events, determination of genetic variants related to sudden death, such as congenital long QT syndromes, demonstration of lesions vitality, identification of biological matrices and species diagnosis of a forensic trace on crime scenes without destruction of the DNA. The aim of this paper is to describe the state-of-art in the application of personalized medicine in forensic sciences, to understand the possibilities of integration in routine investigation of these procedures with classical post-mortem studies and to underline the importance of these new updates in medical examiners’ armamentarium in determining cause of death or contributing factors to death.

Background: The personalized medicine is a model of medicine based on inherent difference given by the genetic heritage that characterizes us, diversity that can affect also our response to administered therapy. Nowadays, the term “adverse drug reaction” is identified with any harmful effect involuntary resulting from the use of a medicinal product; pharmacogenomics, in this field, has the aim to improve the drug response and to reduce the adverse reaction. Methods: We analyzed all reports of adverse reaction collected in the Pharmacovigilance Centre database of an Italian University Hospital, at the Sant’Andrea Hospital Sapienza University of Rome, in a period of two years. Results: Comparing the data result from our analysis with several studies found in literature, it is evident that adverse drug reactions represent an important problem in the management of a health care system. However, the development of pharmacogenetics and pharmacogenomics, allowing a personalized treatment, can improve clinical practice. Conclusion: This study highlights the great potential of pharmacogenomics in reducing adverse reactions and suggests the need for further pharmacogenomic clinical trials to better personalize drug treatment and to refine the current pharmacovigilance strategies.