New modifications in nanoparticles changed their applications obviously. Green synthesis of nanoparticles and their biomedical utilizations have been the focus of increasing attention in recent years. Silver nanoparticles (AgNPs) demonstrated surprising effects and many advantageous features for cancer therapy. Investigations indicated the anticancer activity of AgNPs in different ways, comprising cell cycle arrest, DNA damaging and apoptosis, alteration of P53 function, up/down regulation of some important cytokine genes and so on. But some key inquiries like the ability to control the accidental effects of AgNPs, or encompassing process for parcels, which reduces the toxicological profile of nanoparticles, still remained. “Green synthesis” of nanoparticles has been shown to be a kind of approach to resolve the toxicity amounts in a range of 10-18 times. Using distinctive properties of this approach, i.e. as green synthesized silver nanoparticles (G-AgNPs), in order to raise potential therapeutic efficacy, even up to two-fold higher than cis-platin, is going to play a crucial role in cancer treatment and could be considered as a new insight in this field. The current review focuses on the antioxidant activity of G-AgNPs and potential impacts on cancer cells.
Direct-to-consumer genetic tests (DTC-GT) have become a bridge between marketing and traditional healthcare services. After earning FDA endorsement for such facilities, several fast-developing companies started to compete in the related area. Pharmacogenomic (PGx) tests have been introduced as potentially one of the main medical services of such companies. Most of the individuals will be interested in finding out about the phenotypic consequences of their genetic variants and molecular risk factors against diverse medicines they take or will take later. Direct-to-consumer pharmacogenomic tests (DTC-PT) is still in its young age, however it is expected to expand rapidly through the industry in the future. The result of PGx tests could be considered as the main road toward the implementation of personalized and precision medicine in the clinic. This narrative critical review study provides a descriptive overview on DTC-GT, then focuses on DTC-PT, and also introduces and suggests the potential approaches for improving the clinical related outcomes of such tests on healthcare systems.
This pilot study is aimed at implementing an approach for comprehensive clinical pharmacogenomics (PGx) profiling. Fifty patients with cardiovascular diseases and 50 healthy individuals underwent whole-exome sequencing. Data on 1800 PGx genes were extracted and analyzed through deep filtration separately. Theoretical drug induced phenoconversion was assessed for the patients, using sequence2script. In total, 4539 rare variants (including 115 damaging non-synonymous) were identified. Four publicly available PGx bioinformatics algorithms to assign PGx haplotypes were applied to nine selected very important pharmacogenes (VIP) and revealed a 45–70% concordance rate. To ensure availability of the results at point-of-care, actionable variants were stored in a web-hosted database and PGx-cards were developed for quick access and handed to the study subjects. While a comprehensive clinical PGx profile could be successfully extracted from WES data, available tools to interpret these data demonstrated inconsistencies that complicate clinical application.
Pharmacogenomics (PGx) is the knowledge of diverse drug responses and effects in people, based on their genomic profiles. Such information is considered as one of the main directions to reach personalized medicine in future clinical practices. Since the start of applying next generation sequencing (NGS) methods in drug related clinical investigations, many common medicines found their genetic data for the related metabolizing/shipping proteins in the human body. Yet, the employing of technology is accompanied by big obtained data, which most of them have no clear guidelines for consideration in routine treatment decisions for patients. This review article talks about different types of NGS derived PGx variants in clinical studies and try to display the current and newly developed approaches to deal with pharmacogenetic data with/without clear guidelines for considering in clinical settings.