Results Reviewed technologies are classified according to different stakeholders' requirements, and a novel ecosystem from a technology perspective is suggested as a solution to reusing medicines Conclusion Active sensing technologies applying to pharmaceutical packaging using printed electronics enlist medicines to be part of the Internet of Things network Validating the quality and safety of returned medicines through this network seems to be the most effective way for reusing medicines and the correct application of technologies may be the key enablerPathogenic bacteria secrete a variety of proteins that manipulate host cell function by targeting components of the plasma membrane, cytosol, or organelles In the last decade, several studies identified bacterial factors acting within the nucleus on gene expression or other nuclear processes, which has led to the emergence of a new family of effectors called "nucleomodulins" In human and animal pathogens, Listeria monocytogenes for Gram-positive bacteria and Anaplasma phagocytophilum, Ehrlichia chaffeensis, Chlamydia trachomatis, Legionella pneumophila, Shigella flexneri, and Escherichia coli for Gram-negative bacteria, have led to pioneering discoveries In this review, we present these paradigms and detail various mechanisms and core elements eg, DNA, histones, epigenetic regulators, transcription or splicing factors, signaling proteins targeted by nucleomodulins We particularly focus on nucleomodulins interacting with epifactors, such as LntA of Listeria and ankyrin repeat- or tandem repeat-containing effectors of Rickettsiales, and nucleomodulins from various bacterial species acting as post-translational modification enzymes The study of bacterial nucleomodulins not only generates important knowledge about the control of host responses by microbes but also creates new tools to decipher the dynamic regulations that occur in the nucleus This research also has potential applications in the field of biotechnology Finally, this raises questions about the epigenetic effects of infectious diseasesMelanoma is the most aggressive type of skin cancer, leading to metabolic rewiring and enhancement of metastatic transformation Efforts to improve its early and accurate diagnosis are largely based on preclinical models and especially cell lines Hence, we herein present a combinational Nuclear Magnetic Resonance NMR- and Ultra High Performance Liquid Chromatography-High-Resolution Tandem Mass Spectrometry UHPLC-HRMS/MS-mediated untargeted metabolomic profiling of melanoma cells, to landscape metabolic alterations likely controlling metastasis The cell lines WM115 and WM2664, which belong to the same patient, were examined, with WM115 being derived from a primary, pre-metastatic, tumor and WM2664 clonally expanded from lymph-node metastases Metabolite samples were analyzed using NMR and UHPLC-HRMS Multivariate statistical analysis of high resolution NMR and MS positive and negative ionization results was performed by Principal Component Analysis PCA, Partial Least Squares-Discriminant Analysis PLS-DA and Orthogonal Partial Least Squares-Discriminant Analysis OPLS-DA, while metastasis-related biomarkers were determined on the basis of VIP lists, S-plots and Student's t-tests Receiver Operating Characteristic ROC curves of NMR and MS data revealed significantly differentiated metabolite profiles for each cell line, with WM115 being mainly characterized by upregulated levels of phosphocholine, choline, guanosine and inosine Interestingly, WM2664 showed notably increased contents of hypoxanthine, myo-inositol, glutamic acid, organic acids, purines, pyrimidines, AMP, ADP, ATP and UDPs, thus indicating the critical roles of purine, pyrimidine and amino acid metabolism during human melanoma metastasisAn increasing number of studies suggest the implication of microRNAs miRNAs in colorectal CRC carcinogenesis and disease progression Nevertheless, the basic mechanism is not yet clear We determined plasma miRNA expression levels using Agilent microarray technology followed by overlapping with The Cancer Genome Atlas TCGA tissue data and a qRT-PCR validation step and analysis of the altered miRNA signatures to emphasize new mechanistic insights For TGCA dataset, we identified 156 altered miRNAs 79 downregulated and 77 upregulated in colorectal tissue samples versus normal tissue The microarray experiment is based on 16 control samples, 38 CRC plasma samples from colorectal cancer patients who have not undergone chemotherapy, and 17 chemo-treated samples In the case of the analysis of CRC cancer versus healthy control we identified 359 altered miRNAs 214 downregulated and 60 upregulated, considering as the cutoff value a fold-change of ±15 and p less then 001 An additional microarray analysiponsible for miRNAs released in biofluids, which is the most upregulated transcript in colorectal plasma samples and which can function as a prediction tool within the oncological fieldindicator front-of-package nutrition labelling schemes are gaining momentum In Europe, an example of such a scheme is Nutri-Score, which was first introduced in France Supported by additional research, the scheme has the potential to expand into other countries Such a scenario opens a series of questions related to the use of Nutri-Score in the territories with pre-existing food labelling schemes A key question is whether different nutrition labelling schemes would provide conflicting information for consumers when applied to same foods  https//wwwselleckchemcom/products/cbr-470-1html  The goal of our study was, therefore, to evaluate the alignment of different front-of-package nutrition labelling schemes The study was conducted using cross-sectional data on the composition of selected categories of prepacked foods with high penetration nutrition/health claims and symbols in the Slovenian food supply We evaluated a variety of existing front-of-package nutrition labelling schemes three interpretive nutrition rating systems Nutri-Score, Health Star Ratut such adaptations are challenging and should be well planned While our study showed that, in most cases, Nutri-Score is a less strict model than tested health symbols, the rating-system approach might offer useful support and incentive for food producers towards gradual food reformulation