Modeling the growth of Listeria monocytogenes in mold-ripened cheeses.

This study presents possible applications of predictive microbiology to model the safety of mold-ripened cheeses with respect to bacteria of the species Listeria monocytogenes during (1) the ripening of Camembert cheese, (2) cold storage of Camembert cheese at temperatures ranging from 3 to 15°C, and (3) cold storage of blue cheese at temperatures ranging from 3 to 15°C. The primary models used in this study, such as the Baranyi model and modified Gompertz function, were fitted to growth curves. The Baranyi model yielded the most accurate goodness of fit and the growth rates generated by this model were used for secondary modeling (Ratkowsky simple square root and polynomial models). The polynomial model more accurately predicted the influence of temperature on the growth rate, reaching the adjusted coefficients of multiple determination 0.97 and 0.92 for Camembert and blue cheese, respectively. The observed growth rates of L. monocytogenes in mold-ripened cheeses were compared with simulations run with the Pathogen Modeling Program (PMP 7.0, USDA, Wyndmoor, PA) and ComBase Predictor (Institute of Food Research, Norwich, UK). However, the latter predictions proved to be consistently overestimated and contained a significant error level. In addition, a validation process using independent data generated in dairy products from the ComBase database (www.combase.cc) was performed. In conclusion, it was found that L. monocytogenes grows much faster in Camembert than in blue cheese. Both the Baranyi and Gompertz models described this phenomenon accurately, although the Baranyi model contained a smaller error. Secondary modeling and further validation of the generated models highlighted the issue of usability and applicability of predictive models in the food processing industry by elaborating models targeted at a specific product or a group of similar products.

Properties of peptides released from salmon and carp via simulated human-like gastrointestinal digestion described applying quantitative parameters.

Apart from the classical (experimental) methods, biologically active peptides can be studied via bioinformatics approach, also known as in silico analysis. This study aimed to verify the following research hypothesis: ACE inhibitors and antioxidant peptides can be released from salmon and carp proteins during simulated in silico human-like gastrointestinal digestion. The potential to release biopeptides was evaluated using the BIOPEP-UWM quantitative criteria including the profile of biological activity, frequency of the occurrence (A)/release (AE) of fragments with an ACE inhibitory or antioxidant activity by selected enzymes, and relative frequency of release of bioactive fragments with a given activity by selected enzymes (W). Salmon collagen and myofibrillar proteins of carp turned out to be the best potential source of the searched peptides-ACE inhibitors and antioxidant peptides. Nonetheless, after digestion, the highest numbers of ACE inhibitors and antioxidant peptides were potentially released from the myofibrillar proteins of salmon and carp. Peptide Ranker Score, Pepsite2, and ADMETlab platform were applied to evaluate peptides' bioactivity potential, their safety and drug-like properties. Among the 63 sequences obtained after the simulated digestion of salmon and carp proteins, 30 were considered potential biopeptides. The amino acid sequences of ACE-inhibiting and antioxidant peptides were predominated by P, G, F, W, R, and L. The predicted high probability of absorption of most analyzed peptides and their low toxicity should be considered as their advantage.

Methodology of preparation of corrosive specimens from human placenta - A technical note.

Detailed knowledge of the anatomy of human placenta vessels is clinically essential and requires the use of many different anatomical and histological techniques. One of the interesting methods of visualising vessels is the corrosion technique. It enables spatial visualisation of the vascular network of the analysed organ. The authors present a developed, own method of preparing the corrosive preparations from human placenta. They underline the advantages and disadvantages of this technique. They describe solutions aimed at reducing the costs of the process. They show that corrosion technology enables relatively fast and inexpensive visualisation of arterial and venous vessels of the human placenta.

Implementation of targeted temperature management after cardiac arrest in Polish intensive care units. What has changed in the last five years?

BACKGROUND: Studies conducted up to 2010 indicate the underuse of targeted temperature management (TTM) in Poland. AIM: This study evaluated the current degree of TTM implementation in Polish intensive care units (ICUs) and analysed the implementation process since 2010. METHODS: A telephone survey, conducted from December 2014 to July 2015, was carried out to determine the number of ICUs using TTM in patients after cardiac arrest. We collected data on the details and prevalence of TTM, and the impact of organisational and financial issues and recently published papers on its use. RESULTS: We obtained data from 271 of 396 ICUs (68.4%). In total, 79 (29.2%) ICUs indicated TTM use and 27 (34.2%) used dedicated TTM equipment. Overall, 62% of the ICUs used TTM regardless of the cardiac arrest rhythm. Target temperatures of 32-34°C and 34.1-36°C were reached by 44.3% and 43.0% of ICUs, respectively. The duration of TTM was 12-24 h in 58.2% of the ICUs. The most common barriers to TTM implementation were a lack of dedicated devices (36.3%) and organ-isational and logistical issues (31.2%). Any influence of recently published data on TTM practice modifications was reported by only 23.4% of the ICUs. CONCLUSIONS: Targeted temperature management is underused in Polish ICUs. There is a need for additional educational and implementation efforts supporting the translation of knowledge into clinical practice at the regional and national levels.