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Serpin family A member 1 (SERPINA1) is expressed abundantly in gliomas and can predict unfavorable prognosis of patients with glioma. Studies have shown that nicotinamide adenine dinucleotide phosphate quinone dehydrogenase 1 (NQO1) can promote the proliferation of glioblastoma multiforme cells and enhance the expression of SERPINA1, but its effects on glioma cells remain unknown. In this study, we explored the functions of SERPINA1 in glioma tumorigenesis in vitro and then investigated whether NQO1 affects the protein expression of SERPINA1 and its mRNA level. The results showed that the translation of SERPINA1 was suppressed while its mRNA level had no significant changes under the condition of NQO1 silencing. Luciferase reporter assay and biotin pull-down assay further indicated that NQO1 bond with SERPINA1 3′ untranslated region. miR-1321 was also identified to target SERPINA1, repressing its mRNA and protein levels. SERPINA1 and NQO1 promoted glioma cell proliferation and suppressed cell apoptosis. Moreover, SERPINA1 rescued the effects of sh-NQO1 in glioma cell malignant phenotypes. In conclusion, our findings showed that oncogene NQO1 and antioncogene miR-1321 bind to oncogene SERPINA1 to affect proliferation and apoptosis of glioma cells, which can bring new solution of antitumor treatments for glioma in the future.

Allicin, as a natural antibacterial active substance from plants, has great medical and health care value. However, due to its poor stability, its application in the field of food and medicine is limited. So, in this paper, allicin–zein–sodium caseinate composite nanoparticles (zein–Ali–SC) were prepared by antisolvent precipitation and electrostatic deposition. Through the analysis of the particle size, ζ-potential, encapsulation efficiency (EE), loading rate (LC) and microstructure, the optimum preparation conditions for composite nanoparticles were obtained. The mechanism of its formation was studied by fluorescence spectrum, Fourier infrared spectrum (FTIR), X-ray diffraction (XRD) and thermogravimetric analysis (TGA). The stability study results showed that the particle size of composite nanoparticles was less than 200 nm and its PDI was less than 0.3 under different NaCl concentrations and heating conditions, showing good stability. When stored at 4 °C for 21 days, the retention rate of allicin reached 61.67%, which was 52.9% higher than that of free allicin. After freeze-drying and reheating, the nanoparticles showed good redispersibility; meanwhile, antioxidant experiments showed that, compared with free allicin, the nanoparticles had stronger scavenging ability of free radicals, which provided a new idea for improving the stability technology and bioavailability of bioactive compounds. [ABSTRACT FROM AUTHOR]

The most frequently occurring protein modification in fish postmortem is oxidization, which further affects meat quality through multiple biochemical pathways. To investigate how hydroxyl radicals affect the structure of cathepsin H and its ability to break down myofibrillar proteins in Coregonus peled, cathepsin H was oxidized with 0, 0.1, 0.5, 1, 5, and 10 mM H2O2 and subsequently incubated with isolated myofibrillar proteins. The results showed that as the H2O2 concentration increased, the carbonyl and sulfhydryl contents of cathepsin H significantly increased and decreased, respectively. There were noticeable changes in the α-helix structures and a gradual reduction in UV absorbance and fluorescence intensity, indicating that oxidation can induce the cross-linking and aggregation of cathepsin H. These structural changes further reduced the activity of cathepsin H, reaching its lowest at 10 mM H2O2, which was 53.63% of the activity at 0 mM H2O2. Moreover, desmin and troponin-T all degraded at faster rates when cathepsin H and myofibrillar proteins were oxidized concurrently as opposed to when cathepsin H was oxidized alone. These findings provide vital insights into the interaction mechanism between oxidation, cathepsin H, as well as myofibrillar protein degradation, laying a groundwork for understanding the molecular mechanisms underlying changes in fish meat quality after slaughter and during processing. [ABSTRACT FROM AUTHOR]

With the development of digital technology, plentiful sensors are embedded in the smartphone, which makes it a valuable tool for teaching elementary experimental physics. For instance, the magnetic field sensor of the smartphone has been used to measure gravitational acceleration by measuring the magnetic pendulum's oscillation period. The pressure sensor has helped explore the relationship between atmospheric pressure and altitude. The speed of sound in air can be easily measured using two smartphones with a sound sensor. Recently, Kim et al. put forward a smartphone "multiple tasking" method to analyze free-falling motion and measure the acceleration due to gravity; however, it involved a complex error analysis. To solve the problem, this experiment uses the acoustic stopwatch sensor of the smartphone, which can record the time of free-falling motion accurately.

The aim of this study was to develop and externally validate a nomogram to accurately predict the overall survival (OS) of patients with gastric adenocarcinoma who underwent radical gastrectomy. A total of 3492 patients with gastric adenocarcinoma who underwent radical gastrectomy from 2012 to 2017 were included as the training cohort. Survival analysis was performed via Kaplan Meier method and log-rank test. Independent postoperative prognostic factors in patients with gastric adenocarcinoma were analyzed using univariate and multifactorial COX analysis methods. The prognosis nomogram was established in the training cohort and verified externally in the Surveillance, Epidemiology and End Results (SEER) database. According to the univariate and multifactorial COX analyses, metastatic lymph node ratio (MLNR) and five other independent prognostic factors (age at surgery, type of gastrectomy, tumor size, T stage, and pathological grade) were included in the prognostic nomogram. The nomogram had better prognostic predictive ability than the American Joint Committee on Cancer (AJCC) TNM staging in both the training (C-index: 0.736 VS. 0.668) and external validation cohort (C-index: 0.712 VS. 0.627). The calibration plots showed that the predicted survival rate was in good agreement with the actual survival rate. And the decision curve analysis (DCA) curves revealed that nomogram showed stronger ability in predicting 1-year, 3-year, and 5-year OS. This study estimated the excellent prognostic predictive power and clinical application potential of the MLNR-based nomogram, which may be used to facilitate postoperative clinical treatment decisions and potentially improve patient survival outcomes. [ABSTRACT FROM AUTHOR]