Analysis of the microbiota in the diabetic foot ulcers: Is research standardization required?

Background: Complications of infected wounds in patients with diabetic foot ulcer (DFU) are one of the greatest challenges in modern medicine. Analysis of the microbiological profile of infected ulcers may significantly improve treatment results. The aim of the study was to determine the profile of pathogens isolated in patients with DFU and to compare the results of other centers. Materials and Methods: A retrospective study was carried out on 137 patients with DFU hospitalized at the Department of Diabetology and Internal Diseases, Medical University of Warsaw in 2011-2014. The analysis included the results of 200 microbiological cultures tested for fungi, aerobic and anaerobic bacteria. Statistical analysis was used to test differences in HbA1c values in relation to the strain of the most commonly cultured bacteria and the relationship between glycemic control and most frequently isolated pathogens. Results: Seventy-nine bacterial species were isolated in 183 positive cultures. Gram-negative bacteria predominated with the highest percentage of representatives of Enterobacterales. The most often isolated bacteria were Serratia marcescens, Pseudomonas aeruginosa, Proteus mirabilis and methicillin-susceptible Staphylococcus aureus. The Kruskal-Wallis test revealed that HbA1c concentrations were different in groups infected with different strains of bacteria (p = 0.0087). Isolation of Escherichia coli and Morganella morganii was more often associated with poor control of diabetes. Conclusions: The study revealed statistically significant differences in the frequency of microorganisms isolated from the wounds of patients with DFU. The discrepancies in the results of other studies published in this field indicate the need for standardization of the research design.

Virtual and Augmented Reality Applications in Medicine: Analysis of the Scientific Literature

Background Virtual reality (VR) and augmented reality (AR) have recently become popular research themes. However, there are no published bibliometric reports that have analyzed the corresponding scientific literature in relation to the application of these technologies in medicine. Objective We used a bibliometric approach to identify and analyze the scientific literature on VR and AR research in medicine, revealing the popular research topics, key authors, scientific institutions, countries, and journals. We further aimed to capture and describe the themes and medical conditions most commonly investigated by VR and AR research. Methods The Web of Science electronic database was searched to identify relevant papers on VR research in medicine. Basic publication and citation data were acquired using the “Analyze” and “Create Citation Report” functions of the database. Complete bibliographic data were exported to VOSviewer and Bibliometrix, dedicated bibliometric software packages, for further analyses. Visualization maps were generated to illustrate the recurring keywords and words mentioned in the titles and abstracts. Results The analysis was based on data from 8399 papers. Major research themes were diagnostic and surgical procedures, as well as rehabilitation. Commonly studied medical conditions were pain, stroke, anxiety, depression, fear, cancer, and neurodegenerative disorders. Overall, contributions to the literature were globally distributed with heaviest contributions from the United States and United Kingdom. Studies from more clinically related research areas such as surgery, psychology, neurosciences, and rehabilitation had higher average numbers of citations than studies from computer sciences and engineering. Conclusions The conducted bibliometric analysis unequivocally reveals the versatile emerging applications of VR and AR in medicine. With the further maturation of the technology and improved accessibility in countries where VR and AR research is strong, we expect it to have a marked impact on clinical practice and in the life of patients.

Annotations of Recurrent Structural Variant Events in Pan-cancer Whole Genome Data for Precision Medicine

In personalized cancer genomic medicine, characterizing a patient’s molecular profile based on comprehensive information is important for maximizing treatment benefits. However, current cancer genome analysis is centered on single nucleotide variation (SNV), gene expression, and copy number variation (CNV) but places little emphasis on structural variations (SV) beside fusions. To date, investigation of SVs has been limited because SV analysis entails a cumbersome annotation process. This study describes the design, development, and implementation of an annotation tool for SV, termed SVAnnotator. Detailed annotation was performed on the results of SV detection of 2,781 whole genome samples from the ICGC/TCGA PanCancer Analysis of Whole Genomes (PCAWG) with identifications of fusion, exon skipping, gene disruption, and tandem duplication SVs. These annotations of SVs will facilitate understanding of molecular events and further enhance utilities of precision medicine in stratifications, pathogenicity assessments and drug responses. Frequent novel SV events in MACROD2, FHIT, WWOX and CCSER1 were observed across many cancers. Importantly, SV events were frequently identified in well-established tumor suppressor genes including RB1, NF1, PTEN and TP53. As such, it is plausible that potential therapeutic opportunities are overlooked when SV analysis is not appropriately performed. Given the frequency of SVs detected in our study, SVanalysis with detailed annotation should be a routine part of comprehensive precision medicine analysis, and further studies are warranted to enhance clinical benefits as well as our understanding of uncharacterized SV events.

Legal regulation of personalized medicine in the agricultural sector: the experience of Russia

This study’s topic’s relevance is due to the rapid development of genetic research, when diagnostics, prevention, and treatment are carried out through the study of nucleic acids and their expression products − RNA and proteins. Predictive (personalized) medicine (PMM) has become a preventive trend in molecular medicine, understood in different ways. However, its generally accepted features recognize the individual nature of treatment (each person’s genome is individual). The prophylactic focus of medicine (analysis of the genome is possible at any stage of ontogenesis, long before the disease’s onset) is very important. In carrying out genetic certification, the need to find a legal solution to existing or projected problems is actualized. Legal science is designed to address the issues of protecting human rights in the process of genetic certification, countering discrimination, and other possible violations of constitutional values. The issues raised in the article acquire particular importance in the context of the covid-19 pandemic. Mobility and speed of decision-making require an appropriate legal approach to telemedicine, which will provide the population with high-quality and professional medical care. Besides, it seems reasonable to observe the balance of human rights and freedoms when using the institution of genetic certification and telemedicine