BIBLIOMETRIC STUDY ON THE IMPORTANCE OF ENDPOINT SECURITY IN COMPANIES

This bibliometric study addresses the importance of endpoint security in companies, considering the growing use of information technologies, both in business and personal use. It highlights the need to protect endpoints such as computers, mobile devices, servers, and IoT devices. Endpoint security encompasses measures such as monitoring the files and binaries on and running on the machine using antivirus, data encryption, and threat detection solutions. The literature review highlights the importance of terminology and best practices, highlighting the application of graph-based approaches to strengthen security in medical information networks. Tools such as EDR are cited as essential, especially for small and medium-sized companies. The study emphasizes the importance of business continuity in the face of cyber threats, highlighting the role of artificial intelligence, machine learning, and frameworks. It takes a bibliometric approach, using a specific database to collect bibliometric data on scientific publications published between 2017 and 2023. As a basis for the study, the words “cybersecurity”, “endpoint security”, “business continuity”, and “business” were used. Various analyses of bibliometric results are also presented, including the number of publications by type of document, the scientific journals with the highest number of publications, the countries with the highest number of publications, the number of publications per author, the most cited articles, and the occurrence of identified keywords.info:eu-repo/semantics/publishedVersio

BIBLIOMETRIC STUDY ON THE IMPORTANCE OF ENDPOINT SECURITY IN COMPANIES

This bibliometric study addresses the importance of endpoint security in companies, considering the growing use of information technologies, both in business and personal use. It highlights the need to protect endpoints such as computers, mobile devices, servers, and IoT devices. Endpoint security encompasses measures such as monitoring the files and binaries on and running on the machine using antivirus, data encryption, and threat detection solutions. The literature review highlights the importance of terminology and best practices, highlighting the application of graph-based approaches to strengthen security in medical information networks. Tools such as EDR are cited as essential, especially for small and medium-sized companies. The study emphasizes the importance of business continuity in the face of cyber threats, highlighting the role of artificial intelligence, machine learning, and frameworks. It takes a bibliometric approach, using a specific database to collect bibliometric data on scientific publications published between 2017 and 2023. As a basis for the study, the words “cybersecurity”, “endpoint security”, “business continuity”, and “business” were used. Various analyses of bibliometric results are also presented, including the number of publications by type of document, the scientific journals with the highest number of publications, the countries with the highest number of publications, the number of publications per author, the most cited articles, and the occurrence of identified keywords.info:eu-repo/semantics/publishedVersio

Mercapturate Pathway in the Tubulocentric Perspective of Diabetic Kidney Disease

BACKGROUND: The recent growing evidence that the proximal tubule underlies the early pathogenesis of diabetic kidney disease (DKD) is unveiling novel and promising perspectives. This pathophysiological concept links tubulointerstitial oxidative stress, inflammation, hypoxia, and fibrosis with the progression of DKD. In this new angle for DKD, the prevailing molecular mechanisms on proximal tubular cells emerge as an innovative opportunity for prevention and management of DKD as well as to improve diabetic dysmetabolism. SUMMARY: The mercapturate pathway (MAP) is a classical metabolic detoxification route for xenobiotics that is emerging as an integrative circuitry detrimental to resolve tubular inflammation caused by endogenous electrophilic species. Herein we review why and how it might underlie DKD. Key Messages: MAP is a hallmark of proximal tubular cell function, and cysteine-S-conjugates might represent targets for early intervention in DKD. Moreover, the biomonitoring of urinary mercapturates from metabolic inflammation products might be relevant for the implementation of preventive/management strategies in DKD.info:eu-repo/semantics/publishedVersio

Reconstruction of a genome-scale metabolic model for the filamentous fungus Ashbya gossypii

Systems biology has recently arisen as a promising and powerful tool for process development and optimization. Metabolic models are one of its different methodologies with high interest and applicability since it allows the simulation of cells behavior under different environments and/or specific genetic variations. The fast-growing number of sequenced genomes may have contributed to this phenomenon, as the sequenced genome is the starting point from where it is possible to associate by homology a specific function to the genes of a microorganism. Afterwards, from this entire set of enzymatic functions we can possibly identify the main metabolic pathways of a specific microorganism allowing this way the construction of its metabolic network. One of the genomes already sequenced is from the fungus Ashbya gossypii, an industrially relevant microorganism intensively used for riboflavin production. Despite the high similarity with Saccharomyces cerevisiae genome A. gossypii presents a lower level of complexity containing only 4726 protein-coding genes distributed over seven chromosomes. The aim of this work is to construct a metabolic model for A. gossypii based on its genome and from which we can retrieve valuable information concerning specific metabolic pathways and the optimum conditions for the production of interesting compounds such as riboflavin. The initial stage of this process consisted in the collection of all metabolic-relevant genes through a manual re-annotation of A. gossypii genome. Despite being a manual procedure, this step was performed using the user-friendly software – merlin – that provided an automatic annotation for each gene, speeding up the entire process. The function automatically assigned by this application was manually analyzed, being accepted or replaced by another one. Each metabolic gene was assigned to an Enzyme Commission(EC) number that corresponds to a specific enzyme. For such procedure several databases were used such as UniProt, SGD, AGD, ExPASy and BRENDA. At the end of this phase, a total of 1429 genes were assigned among the different enzymatic families. Such distribution was considerably heterogeneous: 35,4 % hydrolases; 35,8 % transferases; 28,8 % other enzymatic families. Of the 1429 genes 59 were assigned to different EC numbers and among these 36 % have EC numbers from different enzymatic families. The next stage of the reconstruction process, being performed at present, involves the elaboration of the set of metabolic reactions and their curation regarding stoichiometry, balance of charges and localization inside the cell. For this purpose, information from genome re-annotation is crossed with curated models from closely related microorganisms such as the iMM904 (Mo et al., 2009) and the iIN800 (Nookaew et al., 2008) from Saccharomyces cerevisiae. To complete this process regarding information that was not found in the curated models, reactions databases like BRENDA or KEGG will be used to retrieve such data. At the end of this phase, once we have the complete set of curated metabolic reactions, we will be able to construct a system of m equations (metabolites) and n variables (reactions) that is the base for the optimization studies. The next step will be the determination of biomass composition that encounters another key element for the optimization studies

Reconstruction of a genome-scale metabolic model for the riboflavin producer fungus Ashbya gossypii

Metabolic models are an important tool for in silico simulation of cells’ behavior. Until now, a considerable number of metabolic models have been released for a wide range of microorganisms. Ashbya gossypii is an industrial-relevant fungus intensively used for riboflavin production with no model reported until now. Despite its high similarity with Saccharomyces cerevisiae genome, A. gossypii contains only 4726 protein-coding genes and, contrarily to S. cerevisiae, has a filamentous growth. Here, we describe the first genome-scale metabolic reconstruction for Ashbya gossypii. Initially the whole genome was functionally re-annotated and each metabolic gene was assigned to an EC number using several databases such as UniProt, SGD, AGD, ExPASy and BRENDA. A total of 1429 genes were assigned to the different enzymatic families: 35.4 % hydrolases; 35.8 % transferases; 28.8 % other enzymatic families. Of the 1429 genes, 59 were assigned to multiple EC numbers and among these 36 % had EC numbers from different enzymatic families. The next step of the reconstruction was the elaboration of the reactions set. Re-annotation data was crossed with the curated models iMM904 and iIN800 from S. cerevisiae. Some databases like BRENDA, KEGG or Metacyc were used in the cases where data were not available and an in-house tool was used to predict the transport reactions from A. gossypii genome sequences. At the end of this step, a set with 1755 reactions and 926 metabolites was obtained. Using the obtained set of reactions the metabolic network was analyzed for possible gaps. All the gaps were filled by adding specific reactions leading to a model able to predict cell growth. Current efforts aim model’s validation against experimental data in order to allow more accurate predictions of cell’s phenotype. More specifically, it is expected a final model able to provide valuable genetic strategies that could lead to significant improvements on A. gossypii as a cell factory

Total synthesis of (-)-basiliskamide A and NMR studies on the conversion of basiliskamide A to basiliskamide B

We describe herein our approach to the total synthesis of the antifungal polyketide (-)-basiliskamide A, as well as ¹H NMR studies on the migration of the cinnamoyl side chain of basiliskamide A to form basiliskamide B in CDCl3 solution.Descrevemos neste trabalho nossa rota sintética para obtenção do policetídeo antifúngico (-)-basiliskamida A, assim como estudos de RMN de ¹H relacionados a migração da cadeia lateral cinamoíla da basiliskamida A para formar a basiliskamida B em CDCl3.20122016Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq

Ketogenic Diet and Drug-Induced Hepatotoxicity During Tuberculosis Treatment

When therapy with hepatotoxic drugs is being considered, all other possible contributing agents of liver damage should be held to account. While not generally considered a risk factor, we present 2 cases in which ketogenic diet (KD) may have played a role in liver injury due to antituberculosis drugs. Ketogenic diet has been linked to liver injury, and while its pathophysiology remains obscure, carnitine depletion could play a role, as it is a mechanism of liver damage common to KD and antituberculosis drug regimens.info:eu-repo/semantics/publishedVersio

Morbidity-mortality and performance evaluation of Brahman calves from in vitro embryo production

<p/> <p>Background</p> <p>The use of bovine <it>in vitro </it>embryo production (IVP) increases the reproductive potential of genetically superior cows, enabling a larger scale of embryo production when compared with other biotechnologies. However, deleterious effects such as abnormal fetal growth, longer gestation period, increased birth weight, abortion, preterm birth and higher rates of neonatal mortality have been attributed to IVP. The aim of this study was to compare the influence of <it>in vitro </it>embryo production and artificial insemination (AI) on gestation length, complications with birth, birth weight, method of feeding colostrum, passive transfer of immunity, morbidity-mortality, and performance in Brahman calves.</p> <p>Results</p> <p>Whilst gestation length and birth weight were significantly increased in IVP-derived calves, no difference in weaning weight was observed between groups. The passive transfer of immunity (PT), was assessed in IVP (n = 80) and AI (n = 20) groups 24 hours after birth by determination of gamma-glutamyl transferase (GGT) and gammaglobulin activity as well as by quantification of the concentration of total protein in serum. No differences in passive transfer or incidences of dystocia and diseases at weaning were observed between groups. Birth weight, method of feeding colostrum and dystocia were not correlated with PT in either group.</p> <p>Conclusions</p> <p>In this study, <it>in vitro </it>embryo production did not affect the health status, development, or passive transfer of immunity in Brahman calves.</p