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Cymoxanil (CYM) is a widely used synthetic acetamide fungicide, but its biochemical mode of action remains elusive. Since CYM inhibits cell growth, biomass production, and respiration in Saccharomyces cerevisiae, we used this model to characterize the effect of CYM on mitochondria. We found it inhibits oxygen consumption in both whole cells and isolated mitochondria, specifically inhibiting cytochrome c oxidase (CcO) activity during oxidative phosphorylation. Based on molecular docking, we propose that CYM blocks the interaction of cytochrome c with CcO, hampering electron transfer and inhibiting CcO catalytic activity. Although other targets cannot be excluded, our data offer valuable insights into the mode of action of CYM that will be instrumental in driving informed management of the use of this fungicide. [ABSTRACT FROM AUTHOR]

Breast cancer diagnosis remains a challenge, mostly due to its heterogeneity. This reality translates in delayed treatments, increasing treatment aggressiveness and lower chances of overall survival. The conventional detection techniques, although becoming increasingly sophisticated each year, still lack the ability to provide reliable conclusions without being time consuming, expensive, and uncomfortable for the patients. The identification of novel biomarkers for breast cancer research is therefore of utmost relevance for an early diagnosis. Moreover, breast cancer‐specific peptide moieties can be used to develop novel targeted drug delivery systems. In this work, we used phage display to identify a novel peptide with specificity to the SK‐BR‐3 breast cancer cell line. Cytometry assays confirmed its specificity, while bioinformatics and docking studies predicted the potential biomarkers at the SK‐BR‐3 cells' surface. These findings can be potentially useful in the clinical context, contributing to more specific and targeted therapeutic solutions against HER2‐positive breast cancer subtypes. [ABSTRACT FROM AUTHOR]

The concerns about privacy and personal data protection resulted in reforms of the existing legislation in European Union (EU). The General Data Protection Regulation (GDPR) aims to reform the existing measures on the topic of personal data protection of the European Union citizens, with a strong input on the rights and freedoms of people and in the establishment of rules for the processing of personal data. OpenEHR is a standard that embodies many principles of interoperable and secure software for electronic health records. This work aims to understand to what extent the openEHR standard can be considered a solution for the requirements needed by GDPR. A list of requirements for a Hospital Information Systems (HIS) compliant with GDPR and an identification of openEHR specifications was made. The requirements were categorized and compared with the specifications. The requirements identified for the systems were matched with the openEHR specifications, which result in 16 requirements matched with openEHR. All the specifications identified matched at least one requirement. OpenEHR is a solution for the development of HIS that reinforce privacy and personal data protection, ensuring that they are contemplated in the system development. The institutions can secure that their Eletronic Health Record are compliant with GDPR while safeguarding the medical data quality and, as a result, the healthcare delivery. [ABSTRACT FROM AUTHOR]

Introduction The new General Data Protection Regulation (GDPR) compels health care institutions and their software providers to properly document all personal data processing and provide clear evidence that their systems are inline with the GDPR. All applications involved in personal data processing should therefore produce meaningful event logs that can later be used for the effective auditing of complex processes. Aim This paper aims to describe and evaluate HS.Register, a system created to collect and securely manage at scale audit logs and data produced by a large number of systems. Methods HS.Register creates a single audit log by collecting and aggregating all kinds of meaningful event logs and data (e.g. ActiveDirectory, syslog, log4j, web server logs, REST, SOAP and HL7 messages). It also includes specially built dashboards for easy auditing and monitoring of complex processes, crossing different systems in an integrated way, as well as providing tools for helping on the auditing and on the diagnostics of difficult problems, using a simple web application. HS.Register is currently installed at five large Portuguese Hospitals and is composed of the following open-source components: HAproxy, RabbitMQ, Elasticsearch, Logstash and Kibana. Results HS.Register currently collects and analyses an average of 93 million events per week and it is being used to document and audit HL7 communications. Discussion Auditing tools like HS.Register are likely to become mandatory in the near future to allow for traceability and detailed auditing for GDPR compliance. [ABSTRACT FROM AUTHOR]