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EN
Diabetes stands as the most widely recognized acute disease globally, resulting in death when it is not treated in an appropriate manner and time. We have developed a closedloop control system that uses continuous glucose, carbohydrate, and physiological variable data to regulate glucose levels and treat hyperglycemia and hypoglycemia, as well as a hypoglycemia early warning module. Overall, the proposed models are effective at predicting a normal glycemic range from >70 to 180 mg/dl, hypoglycemic values of <70 mg/dl, and hyperglycemic value of 180 mg/dl blood sugar levels. We undertook a seven-day, day-and-night home study with 15 adults. Initially, we started with checking insulin levels after meal consumption, and later, we concentrated on how our system reacted to the physical activity of the patients. Evaluation was conducted based on performance parameters such as precision (0.87), recall (0.87), F-score (0.82), delay (26.5±3), and error size (1.14±2).
EN
Cargo carried by extracellular vesicles (EVs) is considered a promising diagnostic marker, especially proteins. EVs can be divided according to their size and way of biogenesis into exosomes (diameter < 200 nm) and ectosomes (diameter > 200 nm). Exosomes are considered to be of endocytic origin, and ectosomes are produced by budding and shedding from the plasma membrane [1]. Methods The first step of this study was a characterization of the exosome sample. Using Tunable Resistive Pulse Sensing (qNano) size distribution and concentration were measured. The mean size of exosomes was 120±9.17 nm. In the present study, a nano liquid chromatography coupled with tandem mass spectrometry (nanoLCMS/MS) was used to compare protein profiles of exosomes secreted by pancreatic beta cells (1.1B4) grown under normal glucose (NG, 5 mM D-glucose) and high glucose (HG, 25 mM D-glucose) conditions. The EV samples were lysed, and proteins were denatured, digested, and analyzed using a Q-Exactive mass spectrometer coupled with the UltiMate 3000 RSLC nano system. The nanoLC-MS/MS data were searched against the SwissProt Homo sapiens database using MaxQuant software and protein quantitation was done by the MaxLFQ algorithm. Statistical analysis was carried out with Perseus software. Further bioinformatic analysis was performed using the FunRich 3.1.4 software with the UniProt protein database and String [2]. Results As a result of the nanoLC-MS/MS analysis more than 1,000 proteins were identified and quantified in each sample. The average number of identified proteins in exosomes was 1,397. Label-free quantitative analysis showed that exosome composition differed significantly between those isolated under NG and HG conditions. Many pathways were down-regulated in HG, particularly the ubiquitin-proteasome pathway. In addition, a significant up-regulation of the Ras-proteins pathway was observed in HG. Conclusion Our description of exosomes protein content and its related functions provides the first insight into the EV interactome and its role in glucose intolerance development and diabetic complications. The results also indicate the applicability of EV proteins for further investigation regarding their potential as circulating in vivo biomarkers.
3
Content available Diving with Diabetes - A Review of Recommendations
EN
Recreational diving is becoming an increasingly popular physical activity around the world. The vast majority of people who practice scuba diving are amateurs, often being treated for a number of chronic diseases and having cardiovascular burdens. Due to the high prevalence of diabetes mellitus in the world population and the potential for dangerous complications during diving, there is a need for unified recommendations for safe diving with this condition. Current guidelines from international diving associations are not entirely consistent. This review presents the positions of international diving associations concerning the requirements for diving with diabetes, the scope of diving and recommended management of life-threatening conditions during the dive.
PL
Nurkowanie rekreacyjne cieszy się coraz większą popularnością. Znacząca większość osób praktykujących nurkowanie to amatorzy, często obciążeni zdrowotnie. Duże rozpowszechnienie cukrzycy wśród populacji oraz znaczące ryzyko wystąpienia u pacjenta poważnych powikłań w trakcie nurkowania niesie ze sobą konieczność ujednolicenia zaleceń dla nurków-cukrzyków. Obecne zalecenia organizacji nurkowych nie są ze sobą całkowicie zgodne. W tej pracy poglądowej omawiamy zalecenia organizacji nurkowych dla pacjentów z cukrzycą z omówieniem zalecanego postępowania w przypadku wystąpienia powikłań cukrzycy podczas nurkowania.
EN
Some clinical studies reported that glucose variability increased the risk of developing diabetes-related late complications more than constant hyperglycemia, while others claimed that the evidence was not strong enough to support such a conclusion. A few in vitro studies investigated the effect of constantly high or variable glucose levels (VGLs) on endothelial cells (EC). The first aim of this work was to review these studies and demonstrate that most of them support the notion that viability and other metabolic parameters of EC deteriorate faster in cell cultures with VGLs than in cultures with stable normal or high glucose concentration. The second aim was to verify whether the effect of glucose concentration is the same regardless of other culture conditions such as the substrate on which the cells are grown. We cultured Human Umbilical Vein Endothelial Cells (HUVECs) for 7 or 14 days in constant (5 mM or 20 mM) or variable (switching between 5 mM and 20 mM once a day) glucose concentration in culture plates, which were either not-covered with any additional substrate or were covered with fibronectin or gelatin. We assessed the cell viability using a propidium iodide test. The ANOVA revealed that HUVECs viability was affected not only by glucose concentration and duration of the cell culturing but also by the type of substrate and interactions of these three factors. In conclusion, the effect of glucose level on EC viability should not be analyzed in isolation from other culture conditions that may amplify or attenuate this effect.
5
Content available remote Python based simulator of ICU patients hyperglycemia
EN
In this paper a Python based simulator of ICU patients glycemia is presented. Paper includes an underlying mathematical model along with its parameters. Simulator is described along with description of used software solutions. Its operation is also described and illustrated with appropriate screenshots.
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