Insights into Asparaginase Allergic Responses: Exploring Pharmacogenetic Influences

Acute lymphoblastic leukemia represents the most prevalent childhood cancer. Modern chemotherapy has significantly improved outcomes, achieving EFS rates of 80% and OS rates nearing 90% in developed nations, while in developing regions, rates remain below 50%, highlighting disparities, and this difference is due to several factors. Genetic variability plays a role in these drug response disparities, presenting single-nucleotide variations (SNVs). Pharmacogenetic research aims to pinpoint these SNVs early in treatment to predict specific drug responses effectively. This review aims to explore advancements in pharmacogenetics associated with asparaginase (ASNase). ASNase plays a crucial role in the treatment of ALL and is available in three formulations: E. coli, Erwinia, and PEG ASNase. ASNase therapy presents challenges due to adverse effects, like hypersensitivity reactions. Identifying predictive markers for hypersensitivity development beforehand is crucial for optimizing treatments. Several pharmacogenetic studies have investigated the association between SNVs and the risk of hypersensitivity. Key genes include GRIA1, NFATC2, CNTO3, ARHGAP28, MYBBP1A, and HLA. Studies have highlighted associations between SNVs within these genes and hypersensitivity reactions. Notably, most pharmacogenetic investigations of hypersensitivity have focused on patients treated with E. coli, emphasizing the need for broader exploration across different formulations. Future research investigating these variants holds promise for advancing our understanding of ASNase's pharmacogenetics.

A qualitative approach to assess the opinion of physicians about the challenges and prospects of pharmacogenomic testing implementation in clinical practice in Greece

BACKGROUND

Pharmacogenomics (PGx) constitutes an important part of personalized medicine and has several clinical applications. PGx role in clinical practice is known, however, it has not been widely adopted yet. In this study, we aim to investigate the perspectives of Greek physicians regarding the implementation of PGx testing in clinical practice and the key issues associated with it.

METHODS

Fourteen interviews were conducted with physicians of various specialties for which PGx applications are available. A semi-structured interview guide was utilized based on the Consolidated Framework for Implementation Research (CFIR) context and the Diffusion of Innovation model. Transcripts were coded independently and compared by two members of the research team. Descriptive statistics were generated using Microsoft Excel.

RESULTS

Six main themes emerged: awareness and use of PGx testing; source of information; key stakeholders of the PGx supply chain, their interactions and change agents; clinical benefit and significance of PGx testing; barriers and lack of reimbursement; and recommendations to boost the PGx adoption rate. Most respondents were aware of PGx applications, but only three had already recommended PGx testing. Peer-reviewed journals along with clinical guidelines were regarded as the most used source of information while stakeholders of the PGx supply chain were discussed. PGx was considered that promote patient-centered care, enhance medication clinical effectiveness, decrease the risk of side effects, and reduce healthcare costs. Lack of reimbursement, scarcity of resources, and high PGx cost were the foremost barriers affecting PGx adoption.

CONCLUSIONS

It was concluded that if case PGx testing is reimbursed and physicians' training is reinforced, PGx implementation will be boosted and improved shortly.

Pharmacogenomics at the Point of Care: A Community Pharmacy Project in British Columbia

In this study 180 patients were consented and enrolled for pharmacogenomic testing based on current antidepressant/antipsychotic usage. Samples from patients were genotyped by PCR, MassArray, and targeted next generation sequencing. We also conducted a quantitative, frequency-based analysis of participants’ perceptions using simple surveys. Pharmacogenomic information, including medication changes and altered dosing recommendations were returned to the pharmacists and used to direct patient therapy. Overwhelmingly, patients perceived pharmacists/pharmacies as an appropriate healthcare provider to deliver pharmacogenomic services. In total, 81 medication changes in 33 unique patients, representing 22% of all genotyped participants were recorded. We performed a simple drug cost analysis and found that medication adjustments and dosing changes across the entire cohort added $24.15CAD per patient per year for those that required an adjustment. Comparing different platforms, we uncovered a small number, 1.7%, of genotype discrepancies. We conclude that: (1). Pharmacists are competent providers of pharmacogenomic services. (2). The potential reduction in adverse drug responses and optimization of drug selection and dosing comes at a minimal cost to the health care system. (3). Changes in drug therapy, based on PGx tests, result in inconsequential changes in annual drug therapy cost with small cost increases just as likely as costs savings. (4). Pharmacogenomic services offered by pharmacists are ready for wide commercial implementation.

Pharmacogenetics in clinical practice: current level of knowledge among Flemish physicians and pharmacists

Over the past decade, pharmacogenetics (PGx) became an essential tool for personalized medicine although its clinical implementation is still limited. We aimed to assess the current level of knowledge, applications, and expectations of Flemish pharmacists and physicians towards PGx and determine the factors that influence healthcare professionals' knowledge of PGx, aiming to guide future implementation initiatives. A web-based cross-sectional survey was conducted from 8 March 2019 to 8 April 2019, targeting pharmacists, physicians, and trainees of both professions. Ten questions were used to assess the participants' knowledge about PGx. Multivariable linear regression was used to assess the association of profession, experience, practice setting, and prior education with the level of PGx knowledge. In total, 201 Flemish healthcare providers participated, including 100 pharmacists, 73 physicians, and 28 trainees. The majority (78%) of participants were unfamiliar with the basic principles of PGx and its application in clinical practice. The mean percentage of correct answers achieved for the knowledge assessment questions was 34%. Only 9% had counseled patients, while 8% assisted other healthcare professionals on PGx tests the past year. Participants' PGx knowledge was significantly affected by their profession, practice setting, and level of prior education independent of years of experience. These findings provide insight into factors affecting the knowledge of PGx and the current level of PGx implementation in Flemish clinical practice. This may form a basis for developing educational initiatives to enhance the clinical application of PGx in Flanders.

Pharmacogenomics, CYP2D6, and Tamoxifen: A Survey of the Reasons Sustaining European Clinical Practice Paradigms

Tamoxifen is a drug that is often used in the clinical management of breast cancer. CYP2D6 is a key metabolizing enzyme that is involved in the conversion of tamoxifen to its active drug metabolites. CYP2D6 has several alleles that metabolize tamoxifen and other drugs at different rates that can alter therapeutic impact, a characteristic that renders it one of the most studied enzymes in the field of pharmacogenetics. Background and objectives: Portugal has no implemented measures based on pharmacogenomics analysis prior to therapy that might function as a cultural sample control when analyzing the individual and economic factors present in clinical practice paradigms. Therefore, we aim to investigate the impact of CYP2D6 genotyping of the tamoxifen metabolizing enzymes in the clinical management of breast cancer patients. Materials and Methods: Qualitative/quantitative studies regarding the impact of pharmacogenomics in breast cancer; personal interviews in different Portuguese laboratories within hospital setting using a survey. Analysis of data through interviews to management board and/or decision makers from major oncological centers. Results: Reasons for common adoption of pharmacogenomics practice are contradictory and based both in economic factors and cultural/clinical bias. Conclusions: This research study identifies specific cultural and/or clinical bias that act as obstacles to pharmacogenomic implementation and proposes viable courses of action that might bring about change in cultural/medical habits.

The Effect of Genetically Guided Mathematical Prediction and the Blood Pressure Response to Pharmacotherapy in Hypertension Patients

Purpose:

The purpose of this study was to determine the effectiveness of a simple algorithm to mathematically predict a patients’ response to blood pressure (BP) therapy using functional genes in the 3 major organ systems involved in hypertension.

Methods:

Eighty-six patients with controlled hypertension completed 1 study visit consisting of a buccal swab collection, measurement of office BP, and a medical chart review for BP history. Genes in the analysis included 14 functional alleles in 11 genes. These genotypes were mathematically summed per organ system to determine whether a patient would likely respond to target therapy.

Results:

Patients recommended to and taking a diuretic had significantly higher rates of control (<120/<80) than patients recommended but not taking this drug class (0.2 ± 0.1 and 0.03 ± 0.03, respectively). Furthermore, there was a difference between patients genetically recommended and taking an angiotensin receptor blocker (ARB) vs patients recommended but not taking an ARB for the lowest diastolic blood pressure (DBP) and mean arterial pressure (MAP) recorded in the past 2 years (DBP = 66.2 ± 2.9 and 75.3 ± 1.7, MAP = 82.3 ± 2.8 and 89.3 ± 1.5, respectively). In addition, there was a nonsignificant trend for greater reductions in ΔSBP, ΔDBP, and ΔMAP in patients on recommended drug class for beta-blockers, diuretics, and angiotensin II receptor blockers vs patients not on these classes.

Conclusion:

The present study suggests that simple mathematical weighting of functional genotypes known to control BP may be ineffective in predicting control. This study demonstrates the need for a more complex, weighted, multigene algorithm to more accurately predict BP therapy response.

Relationship between a Weighted Multi-Gene Algorithm and Blood Pressure Control in Hypertension

Hypertension (HTN) is a complex disease with interactions among multiple organ systems, including the heart, vasculature, and kidney with a strong heritable component. Despite the multifactorial nature of HTN, no clinical guidelines utilize a multi-gene approach to guide blood pressure (BP) therapy. Non-smokers with a family history of HTN were included in the analysis (n = 384; age = 61.0 ± 0.9, 11% non-white). A total of 17 functional genotypes were weighted according to the previous effect size in the literature and entered into an algorithm. Pharmacotherapy was ranked from 1–4 as most to least likely to respond based on the algorithmic assessment of individual patient’s genotypes. Three-years of data were assessed at six-month intervals for BP and medication history. There was no difference in BP at diagnosis between groups matching the top drug recommendation using the multi-gene weighted algorithm (n = 92) vs. those who did not match (n = 292). However, from diagnosis to nadir, patients who matched the primary recommendation had a significantly greater drop in BP when compared to patients who did not. Further, the difference between diagnosis to current 1-year average BP was lower in the group that matched the top recommendation. These data suggest an association between a weighted multi-gene algorithm on the BP response to pharmacotherapy.

Translating Pharmacogenetics and Pharmacogenomics to the Clinic: Progress in Human and Veterinary Medicine

As targeted personalized therapy becomes more widely used in human medicine, clients will expect the veterinary clinician to be able to implement an evidence-based strategy regarding both the prescribing of medicines and also recognition of the potential for adverse drug reactions (ADR) for their pet, at breed and individual level. This review aims to provide an overview of current developments and challenges in pharmacogenetics in medicine for a veterinary audience and to map these to developments in veterinary pharmacogenetics. Pharmacogenetics has been in development over the past 100 years but has been revolutionized following the publication of the human, and then veterinary species genomes. Genetic biomarkers called pharmacogenes have been identified as specific genetic loci on chromosomes which are associated with either positive or adverse drug responses. Pharmacogene variation may be classified according to the associated drug response, such as a change in (1) the pharmacokinetics; (2) the pharmacodynamics; (3) genes in the downstream pathway of the drug or (4) the effect of “off-target” genes resulting in a response that is unrelated to the intended target. There are many barriers to translation of pharmacogenetic information to the clinic, however, in human medicine, international initiatives are promising real change in the delivery of personalized medicine by 2025. We argue that for effective translation into the veterinary clinic, clinicians, international experts, and stakeholders must collaborate to ensure quality assurance and genetic test validation so that animals may also benefit from this genomics revolution.

The Routine Clinical use of Pharmacogenetic Tests: What it Will Require?

Pharmacogenetic testing aims to personalize drug therapy with a view to optimising drug efficacy and minimise toxicity. However, despite the potential benefits, pharmacogenetic testing is mostly confined to specialised medical areas, laboratories and centres. Widespread integration into routine clinical practice has been limited by a complex set of issues including regulatory and reimbursement frameworks, evidence of clinical utility and clinician perspectives, practices and education. Here we assess the current barriers to widespread clinical uptake and identify the key issue necessary to address to accelerate routine testing.

Evidence for Clinical Implementation of Pharmacogenomics in Cardiac Drugs

OBJECTIVE

To comprehensively assess the pharmacogenomic evidence of routinely used drugs for clinical utility.

METHODS

Between January 2, 2011, and May 31, 2013, we assessed 71 drugs by identifying all drug/genetic variant combinations with published clinical pharmacogenomic evidence. Literature supporting each drug/variant pair was assessed for study design and methods, outcomes, statistical significance, and clinical relevance. Proposed clinical summaries were formally scored using a modified AGREE (Appraisal of Guidelines for Research and Evaluation) II instrument, including recommendation for or against guideline implementation.

RESULTS

Positive pharmacogenomic findings were identified for 51 of 71 cardiovascular drugs (71.8%), representing 884 unique drug/variant pairs from 597 publications. After analysis for quality and clinical relevance, 92 drug/variant pairs were proposed for translation into clinical summaries, encompassing 23 drugs (32.4% of drugs reviewed). All were recommended for clinical implementation using AGREE II, with mean ± SD overall quality scores of 5.18±0.91 (of 7.0; range, 3.67-7.0). Drug guidelines had highest mean ± SD scores in AGREE II domain 1 (Scope) (91.9±6.1 of 100) and moderate but still robust mean ± SD scores in domain 3 (Rigor) (73.1±11.1), domain 4 (Clarity) (67.8±12.5), and domain 5 (Applicability) (65.8±10.0). Clopidogrel (CYP2C19), metoprolol (CYP2D6), simvastatin (rs4149056), dabigatran (rs2244613), hydralazine (rs1799983, rs1799998), and warfarin (CYP2C9/VKORC1) were distinguished by the highest scores. Seven of the 9 most commonly prescribed drugs warranted translation guidelines summarizing clinical pharmacogenomic information.

CONCLUSION

Considerable clinically actionable pharmacogenomic information for cardiovascular drugs exists, supporting the idea that consideration of such information when prescribing is warranted.

Racial differences in attitudes toward personalized medicine

BACKGROUND/AIMS

Patient concerns regarding personalized medicine may limit its use. This study assesses racial differences in attitudes toward personalized medicine, evaluating variables that may influence these attitudes.

METHODS

A convenience sample of 190 adults (≥18 years) from an academic primary care practice was surveyed regarding awareness and acceptance of personalized medicine, plus concerns and benefits regarding its use. Logistic regressions predicting awareness, acceptance and concerns were performed, controlling for race, gender, marital status, education, children, internet use, and self-reported discrimination.

RESULTS

The sample was 35% non-Hispanic white (NHW) and 34.7% male. More NHW participants expressed acceptance of personalized medicine than non-Hispanic black (NHB) participants (94.4 vs. 81.9%, p = 0.0190). More NHBs were concerned about the use of genes without consent (57.3 vs. 20.6%, p < 0.0001), sharing genetic information without consent (65.0 vs. 35.6%, p < 0.0001), discrimination based on genes (62.4 vs. 34.3%, p = 0.0002), and lack of access due to cost (75.0 vs. 48.0%, p = 0.0002). In logistic regressions, NHBs (OR = 7.46, 95% CI = 3.04-18.32) and those self-reporting discrimination (OR = 2.87, 95% CI = 1.22-6.78) had more concerns about the misuse of genes and costs associated with personalized medicine.

CONCLUSION

Racial differences exist in attitudes toward personalized medicine and may be influenced by self-reported discrimination. Further study to understand factors influencing the acceptance of personalized medicine could help encourage its use.

Are health technology assessments of pharmacogenetic tests feasible? A case study of CYP2D6 testing in the treatment of breast cancer with tamoxifen

This paper reports the process and experience of the design and conduct of a UK-based health technology assessment (HTA) of CYP2D6 pharmacogenetic testing to inform the targeted use of tamoxifen for the treatment of breast cancer. Examples of particular challenges for conducting a HTA are highlighted. It is clear from the HTA process described here that a common finding of similar future HTAs will have gaps in the evidence base, particularly in relation to evidence to inform cost–effectiveness. The lack of evidence is likely to be sufficiently large to result in extreme uncertainty and possibly decisions not to recommend a pharmacogenetic test for use in clinical practice. This has clear negative implications, which may hamper moving pharmacogenetic tests from the research environment into clinical practice and requires attention from both manufacturers of pharmacogenetic tests and key decision-makers responsible for market authorization and reimbursement.

Barriers for integrating personalized medicine into clinical practice: a qualitative analysis

Personalized medicine-tailoring interventions based on individual's genetic information-will likely change routine clinical practice in the future. Yet, how practitioners plan to apply genetic information to inform medical decision making remains unclear. We aimed to investigate physician's perception about the future role of personalized medicine, and to identify the factors that influence their decision in using genetic testing in their practice. We conducted three semi-structured focus groups in three health regions (Fraser, Vancouver coastal, and Interior) in British Columbia, Canada. In the focus groups, participants discussed four topics on personalized medicine: (i) physicians' general understanding, (ii) advantages and disadvantages, (iii) potential impact and role in future clinical practice, and (iv) perceived barriers to integrating personalized medicine into clinical practice. Approximately 36% (n = 9) of physicians self-reported that they were not familiar with the concept of personalized medicine. After introducing the concept, the majority of physicians (68%, n = 19 of 28) were interested in incorporating personalized medicine in their practice, provided they have access to the necessary knowledge and tools. Participants mostly believed that genetic developments will directly affect their practice in the future. The key concerns highlighted were physician's access to clinical guidelines and training opportunities for the use of genetic testing and data interpretation. Despite the challenges that personalized medicine can create, in general, physicians in the focus groups expressed strong interest in using genetic information in their practice if they have access to the necessary knowledge and tools.

Development and evaluation of a pharmacogenomics educational program for pharmacists

Objectives. To evaluate hospital and outpatient pharmacists' pharmacogenomics knowledge before and 2 months after participating in a targeted, case-based pharmacogenomics continuing education program.Design. As part of a continuing education program accredited by the Accreditation Council for Pharmacy Education (ACPE), pharmacists were provided with a fundamental pharmacogenomics education program.Evaluation. An 11-question, multiple-choice, electronic survey instrument was distributed to 272 eligible pharmacists at a single campus of a large, academic healthcare system. Pharmacists improved their pharmacogenomics test scores by 0.7 questions (pretest average 46%; posttest average 53%, p=0.0003).Conclusions. Although pharmacists demonstrated improvement, overall retention of educational goals and objectives was marginal. These results suggest that the complex topic of pharmacogenomics requires a large educational effort in order to increase pharmacists' knowledge and comfort level with this emerging therapeutic opportunity.

Pharmacogenomics: historical perspective and current status

Pharmacogenomics and its predecessor pharmacogenetics study the contribution of genetic factors to the interindividual variability in drug efficacy and safety. One of the major goals of pharmacogenomics is to tailor drugs to individuals based on their genetic makeup and molecular profile. From early findings in the 1950s uncovering inherited deficiencies in drug metabolism that explained drug-related adverse events, to nowadays genome-wide approaches assessing genetic variation in multiple genes, pharmacogenomics has come a long way. The evolution of pharmacogenomics has paralleled the evolution of genotyping technologies, the completion of the human genome sequencing and the HapMap project. Despite these advances, the implementation of pharmacogenomics in clinical practice has yet been limited. Here we present an overview of the history and current applications of pharmacogenomics in patient selection, dosing, and drug development with illustrative examples of these categories. Some of the challenges in the field and future perspectives are also presented.

Genetics, genomics and society: the responsibilities of scientists for science communication and education

Misconceptions about genetics and genomics, such as notions of genetic determinism and the existence of ‘genes for’ particular traits, are widespread both in educational contexts and in the public perception of genetics and genomics. Owing to such misunderstandings, the prospect of personalized medicine often raises concerns with the general public about possible adverse societal consequences of the technologies that are implemented. Among the questions that are to be addressed in this context are: to what extent is personalized medical treatment possible? Does it require access to sensitive personal data? Who should be given such access? What other ethical issues might be raised by personalized medicine? How could these be answered? We argue that scientists have a professional responsibility to effectively communicate current knowledge and views about potential applications to the public in order to better address and resolve such issues.

Genetic variants in CYP (-1A2, -2C9, -2C19, -3A4 and -3A5), VKORC1 and ABCB1 genes in a black South African population: a window into diversity

AIM

The frequencies of variants of pharmacogenetic importance differ across populations. African populations exhibit the greatest genetic heterogeneity, cautioning against extrapolating results among African groups. The aim of this study was to genotype pharmacogenetically relevant variants in black South Africans, to expand the limited data set available for indigenous African populations.

SUBJECTS & METHODS

A total of 14 SNPs associated with seven genes known to influence drug metabolism or transport (CYP1A2, CYP2C19, CYP2C9, CYP3A4, CYP3A5, VKORC1 and ABCB1) were investigated in a South African black (SAB) population (n = 993) and allele frequencies were compared with populations of African, Asian and European origin.

RESULTS

The majority of SNPs in the SAB demonstrated significant allele frequency differences when compared with both Europeans and Asians. There was greater similarity between the SAB and the Luhya (Kenya) and the Yoruba (Nigeria), than with Maasai (Kenya) individuals. The CYP2C9 SNP (rs1799853) was not polymorphic in the SAB and two VKORC1 SNPs (rs17708472 and rs9934438) had low variant allele frequencies, limiting their relevance to warfarin dose in this population. Population differences are emphasized by the significant differences in ABCB1 and the CYP3A gene family allele frequencies, with implications for drug metabolism and transport.

CONCLUSION

This study highlights the importance of investigating and documenting genetic variation at loci of pharmacogenetic relevance among different populations since this information could be used to inform drug efficacy, safety and recommended dosage.

The basics of pharmacogenomics: Review the basics of genomics and available tests

Pharmacogenomics, which is the study of genes that determine drug behavior, is a field which has seen an increase in research and discoveries which impact the diagnosis and treatment of various disease states. This article reviews the basic concepts of pharmacogenomics and the genomic tests which are currently available.

Challenge of evidence in individualized medicine

Tension between standardization and individualization has always been a characteristic of medical activity. However, whether it is better that interventions should be based on guideline recommendations on the basis of large multicenter trials, or on a genetic biomarker in individualized medicine, can be the subject of debate. With the aid of stratification, evidence-based medicine and individualized medicine could be linked. Networks of large research projects, involving clinical, biomedical, molecular and other expertises are necessary for evidence-based evaluation, standardization, and clinical validation of new methods and algorithms.

Consideration of patient preferences and challenges in storage and access of pharmacogenetic test results

PURPOSE

Pharmacogenetic testing is one of the primary drivers of personalized medicine. The use of pharmacogenetic testing may provide a lifetime of benefits through tailoring drug dosing and selection of multiple medications to improve therapeutic outcomes and reduce adverse responses. We aimed to assess public interest and concerns regarding sharing and storage of pharmacogenetic test results that would facilitate the reuse of pharmacogenetic data across a lifetime of care.

METHODS

We conducted a random-digit-dial phone survey of a sample of the US public.

RESULTS

We achieved an overall response rate of 42% (n = 1139). Most respondents indicated that they were extremely or somewhat comfortable allowing their pharmacogenetic test results to be shared with other doctors involved in their care management (90% ± 2.18%); significantly fewer respondents (74% ± 3.27%) indicated that they were extremely or somewhat comfortable sharing results with their pharmacist (P < 0.0001).

CONCLUSION

Patients, pharmacists, and physicians will all be critical players in the pharmacotherapy process. Patients are supportive of sharing pharmacogenetic test results with physicians and pharmacists and personally maintaining their test results. However, further study is needed to understand which options are needed for sharing, appropriate storage, and patient education about the relevance of pharmacogenetic test results to promote consideration of this information by other prescribing practitioners.

Clinical implementation of pharmacogenetics: a nonrepresentative explorative survey to participants of WorldPharma 2010

Despite the fast-growing literature and the emerging support from regulatory drug agencies, the translation of pharmacogenetics (PGx) into the clinic is still rather limited; it seems that many existing challenges are yet to be overcome prior to an extensive adoption of PGx-based diagnostics. This article describes the results of an explorative nonrepresentative survey that attempted to evaluate the perceived status quo of, and the obstacles facing, PGx implementation in clinical practice in countries with emerging and developing economies versus countries with advanced economies. This study is a useful starting point to help gain better insight into the international, rather than merely the regional, barriers facing the lag in PGx implementation in the clinic. A more transparent picture about these priorities can be constructed through conducting a similar study on a more representative sample of respondents/participants.

Towards a more robust approach to selecting and prosecuting promising targets and compounds

There are many factors that influence predictivity in drug discovery and impact on productivity within the pharmaceutical industry. This article will concentrate on just two aspects; first, the role of investigating target modulation within a (human) disease setting, from target selection through screening to animal models, and second, potential developments in the analysis and probing of the chemical space appropriate for drug discovery and, in particular, steps to improve predictivity thus moving to a more forward-looking process. The activities associated with target selection should develop significantly over the next 5-10 years leading to a more robust association of target modulation with disease modification. In addition, better understanding of the opportunities for target modulators should drive and improve the selection of ligands suitable for therapeutic applications. Within these areas it will be important to move away from a retrospective consideration of druggable targets towards a forward-looking approach based on holistic (disease context) profiling of both (progressable) targets and subsequently their ligands. Improvements in the predictive analysis and probing of the chemical space will be needed to confront both safety and efficacy end points that currently remain major reasons for failure in the clinic. It is hoped that improvements in data visualization together with chemocentric mining of the literature will facilitate better interrogation of development and clinical data, potentially modifying research project plans to better address these key issues.

Assessment of the pharmacogenomics educational needs of pharmacists

OBJECTIVES

To evaluate the self-perceived knowledge and confidence of inpatient and outpatient pharmacists in applying pharmacogenomics information to clinical practice.

METHODS

A 19-question multiple-choice, electronic needs-assessment survey instrument was distributed to 480 inpatient and outpatient pharmacists in a large, academic, multi-campus healthcare system.

RESULTS

The survey response rate was 64% (303). Most respondents (85%) agreed that pharmacists should be required to be knowledgeable about pharmacogenomics, and 65% agreed that pharmacists should be capable of providing information on the appropriate use of pharmacogenomics testing. Sixty-three percent felt they could not accurately apply the results of pharmacogenomics tests to drug-therapy selection, dosing, or monitoring.

CONCLUSION

Pharmacists believe pharmacogenomics knowledge is important to the profession, but they lack the knowledge and self-confidence to act on the results of pharmacogenomics testing and may benefit from pharmacogenomics education.

Comparative effectiveness and personalized medicine: evolving together or apart?

Comparative effectiveness research and personalized medicine can at first appear to be at odds with each other. This research initially compares the overall benefits of one therapeutic approach with those of another for the majority of patients, while personalized medicine identifies the subsets of patients who could benefit based on personal characteristics such as genetics. But because comparative effectiveness research typically enrolls heterogeneous patient populations, it can uncover subpopulations that might benefit most from particular treatments. Thus, comparative effectiveness research can help discern the appropriate role of personalized medicine in improving health care outcomes and rationalizing costs.

Pharmacogenetics of osteoporosis

Osteoporosis is the most common and serious skeletal disorder of the elderly; it is characterized by reduced bone mass and deterioration of bone microarchitecture, with an increased risk of low-trauma fractures. Genetic factors are important predisposing elements influencing individual bone strength variability and susceptibility to osteoporosis and related complications. The genetics of osteoporosis encompasses two main areas: disease susceptibility and pharmacogenetics of drug response. The former has been widely studied while the latter is still largely untouched. Pharmacogenetics is the study of relationships between genetic variations and inter-individual differences in drug response in terms of efficacy and adverse effects, representing an opportunity to identify new biomarkers for drug development and drug response. However, pharmacogenetic approaches to osteoporosis are still in their infancy, needing to be developed further and combined with functional studies. This article provides an overview on the current basic research applications in the pharmacogenetics of osteoporosis and their implications for clinical practice.

Realities and expectations of pharmacogenomics and personalized medicine: impact of translating genetic knowledge into clinical practice

The implementation of genetic data for a better prediction of response to medications and adverse drug reactions is becoming a reality in some clinical fields. However, to be successful, personalized medicine should take advantage of an informational structured framework of genetic, phenotypic and environmental factors in order to provide the healthcare system with useful tools that can optimize the effectiveness of specific treatment. The impact of personalized medicine is potentially enormous, but the results that have so far been gathered are often difficult to translate into clinical practice. In this article we have summarized the most relevant applications of pharmacogenomics on diseases to which they have already been applied and fields in which they are currently emerging. The article provides an overview of the opportunities and shortcomings of the implementation of genetic information into personalized medicine and its full adoption in the clinic. In the second instance, it provides readers from different fields of expertise with an accessible interpretation to the barriers and opportunities in the use/adoption of pharmacogenomic testing between the different clinical areas.

Pharmacogenetics of drug-induced liver injury

Recent progress in research on drug-induced liver injury (DILI) has been determined by key developments in two areas. First, new technologies allow the identification of genetic risk factors with improved sensitivity, specificity, and efficiency. Second, new mechanistic concepts of DILI emphasize the importance of unspecific "downstream" events following drug-specific initial "upstream" hepatocyte injury and of complex interactions between environmental and genetic risk factors. The integration of genetic and mechanistic concepts is essential for current research approaches, and genetic studies of DILI now focus on targets that affect the function and transcriptional regulation of genes relating not only to drug metabolism but also to human leukocyte antigens (HLAs), cytokines, oxidative stress, and hepatobiliary transporters. Risk factors affecting unspecific downstream mechanisms may be identified using pooled DILI cases caused by various drugs. The power to detect variants that confer a low risk can be increased by recruitment of strictly selected cases through large networks, whereas controls may also be obtained from genotyped reference populations. The first genomewide studies of DILI identified HLA variants as risk factors for hepatotoxicity associated with flucloxacillin and ximelagatran, and their design has defined a new standard for pharmacogenetic studies. From a clinical and regulatory point of view, there is a need for genetic tests that identify patients at increased hepatotoxic risk. However, DILI is a rare complex disease, and pharmacogenetic studies have so far not been able to identify interactions of several risk factors defining a high population-attributable risk and clinically relevant absolute risk for DILI.

MicroRNA-146a and human disease

MicroRNAs (MiRNAs) belong to a class of small non-coding regulatory RNAs that act through repression of protein expression at post-transcriptional level and emerge to play important roles in many physiological and pathophysiological processes. MiR-146a is a miRNA supposed to regulate innate immune, inflammatory response and antiviral pathway negatively. In this review, we focus on the recent progress in functional role of miR-146a in innate immune, inflammatory response, virus infection and human diseases. Together, these findings indicate that manipulation of miR-146a expression may represent a potential new therapy for several human diseases. Potential use of miR-146a as a biomarker for disease diagnosis, prevention and treatment is also discussed.