Trends in Chemometrics: Food Authentication,Microbiology, and Effects of Processing

In the last decade, the use of multivariate statistical techniques developed for analytical chemistry has been adopted widely in food science and technology. Usually, chemometrics is applied when there is a large and complex dataset, in terms of sample numbers, types, and responses. The results are used for authentication of geographical origin, farming systems, or even to trace adulteration of high value‐added commodities. In this article, we provide an extensive practical and pragmatic overview on the use of the main chemometrics tools in food science studies, focusing on the effects of process variables on chemical composition and on the authentication of foods based on chemical markers. Pattern recognition methods, such as principal component analysis and cluster analysis, have been used to associate the level of bioactive components with in vitro functional properties, although supervised multivariate statistical methods have been used for authentication purposes. Overall, chemometrics is a useful aid when extensive, multiple, and complex real‐life problems need to be addressed in a multifactorial and holistic context. Undoubtedly, chemometrics should be used by governmental bodies and industries that need to monitor the quality of foods, raw materials, and processes when high‐dimensional data are available. We have focused on practical examples and listed the pros and cons of the most used chemometric tools to help the user choose the most appropriate statistical approach for analysis of complex and multivariate data.     

Expression of p53 Protein Associates with Anti-PD-L1 Treatment Response on Human-Derived Xenograft Model of GATA3/CR5/6-Negative Recurrent Nonmuscular Invasive Bladder Urothelial Carcinoma

Background: The possible involvement of p53 signaling, FGFR3 expression, and FGFR3 mutation rates in the prediction of the NMIBC anti-PD-L1 treatment response needs to be clarified. The main aim of our study was to explore predictive value of p53 expression, FGFR3 expression, and its gene mutation status for the therapeutic success of anti-PD-L1 treatment in the patient-derived murine model of recurrent high-PD-L1(+) GATA3(−)/CR5/6(−) high-grade and low-grade NMIBC. Methods: twenty lines of patient-derived xenografts (PDXs) of relapsed high-PD-L1(+) double-negative NMIBC were developed, of which 10 lines represented high-grade tumors and the other ones—low-grade bladder cancer. Acceptors of each grade-related branch received specific anti-PD-L1 antibodies. Animals’ survival, tumor-doubling time, and remote metastasis were followed during the post-interventional period. PD-L1, GATA3, CR5/6, and p53 protein expressions in engrafted tumors were assessed by immunohistochemistry. The FGFR3 expression and FGFR3 mutations in codons 248 and 249 were detected by real-time polymerase chain reaction. Results: The expression of p53 protein is an independent factor affecting the animals’ survival time [HR = 0.036, p = 0.031] of anti-PD-L1-treated mice with low-grade high-PD-L1(+) double-negative NMIBC PDX. The FGFR3 expression and FGFR3 mutation rate have no impact on the anti-PD-L1 treatment response in the interventional groups. Conclusions: p53 expression may be considered as a prognostic factor for the anti-PD-L1 treatment efficacy of low-grade high-PD-L1-positive GATA3(−)/CR5/6(−)-relapsed noninvasive bladder cancer.     

Experimental immunotherapy of mice with transplanted MC-rhabdomyosarcoma resistant to doxorubicin

AIM: To compare the sensitivity of doxorubicin (DOX) sensitive and DOX-resistant MC-rhabdomyosarcoma (MC-RMS) cells to the action of lymphokine-activated cells (LAC). RESULTS: In vitro investigations showed that LAC received from the fraction of adherent lymphocytes possess the highest activity against DOX-resistant tumor cells, and LAC from lymphocytes of total pool--against DOX-resistant tumor cells pretreated with DOX at a low dose. Adoptive immunotherapy of MC-RMS in vivo showed the highest efficacy in the cases of LAC intratumoral injection and the one combined with intraperitoneal administration of DOX at a low dose (increase of survival time by 14% and 25%, respectively). CONCLUSION: Adoptive in vivo therapy of DOX-resistant Mh-RMS is effective if LAC or their combination with DOX at a low dose are administered.     

The characteristics of disorders in carbohydrate metabolism and insulin and C-peptide secretion in patients with chronic glomerulonephritis in developing chronic kidney failure

The authors studied hormonal regulation of carbohydrate metabolism by secretion of insulin, C-peptide in 86 patients with chronic glomerulonephritis with different functional condition of the kidneys. There was a decrease in glucose tolerance, basal and reactive hyperinsulinemia, elevated level of C-peptide (relative insulin insufficiency). Mechanism of arising changes in the carbohydrate and insulin metabolism is complex and multicomponent. This includes renal lesion and consequent inhibition of hormone metabolism. Intensification of glomerular filtration is associated with inhibition of filtration of insulin and C-peptide derivants. Accumulation of nitrogen metabolism products results in changed response of pancreatic beta-cells to glucose. General disturbances of metabolism are accompanied by increasing levels of hormonal and nonhormonal contrainsular substances.