001). Besides, angiotensin receptor blockers and increased preoperative creatinine and urea levels were independent risk factors for AKI after HIPEC. In a preclinical mouse model, intraperitoneal perfusion with cisplatin induced AKI, whereas hyperthermia alone, or in combination with cisplatin, did not induce or enhance renal injury. Amifostine failed to confer nephroprotective effects in a miniaturized HIPEC model.
 
  AKI is a frequent complication after HIPEC. The risk of renal injury is particularly high in patients treated with cisplatin-containing HIPEC regimens. Hyperthermic perfusion of the abdomen by itself does not seem to induce or aggravate HIPEC-induced renal injury.
 AKI is a frequent complication after HIPEC. The risk of renal injury is particularly high in patients treated with cisplatin-containing HIPEC regimens. Hyperthermic perfusion of the abdomen by itself does not seem to induce or aggravate HIPEC-induced renal injury.
  An appropriate strategy is needed to determine the therapeutic effect of chemotherapy on primary lesions in esophageal cancer. This multicenter cohort study aimed to examine the usefulness of a novel criterion obtained by multiplying the lengths of the major and minor esophageal axes from helical computed tomography as a tool to evaluate the therapeutic effect of neoadjuvant chemotherapy and to predict prognosis after surgery in locally advanced esophageal cancer.
 
  A first investigation evaluated the reproducibility of the new criterion between two independent examiners. In a second investigation, we examined the association of the novel criterion with pathological tumor regression grade and long-term outcomes. Pretreatment primary lesions less than 20 mm on computed tomography were excluded.
 
  In an initial cohort of 81 patients, the intraclass correlation coefficient for the novel criterion was higher than that for the tumor major axis both before and after neoadjuvant chemotherapy. In the second cohort after neoadjuvant chemotherapy followed by surgery for esophageal cancer.Resveratrol (RES) is a polyphenol with diverse beneficial biological and pharmacological activities, and our previous results have demonstrated its neuroprotective effects in several metabolic diseases, including non-alcoholic fatty liver disease. The aim of the present study is to investigate the potential effect of RES against oleic acid (OA)-induced cell injuries in SH-SY5Y cells and explore the possible mechanism. Based on the dose- and time-dependent effects of OA on cell proliferation and LDH release, SH-SY5Y cells were challenged with OA and incubated with or without RES (10-5-10-9 mM) or sitagliptin (STG, 10-7 mM). Lipid accumulation, SREBP1 and PPARα protein expression, glucose consumption and IRS1, AKT, ERK phosphorylation under insulin stimulation, and ROS production were detected. The protein expression of brain-derived neurotrophic factor (BDNF), Copine 6, and key molecules in the Wnt/β-catenin signalling pathway were measured via western blot. The expression of Wnt 1 was also measured via immunoinsulin resistance via the Wnt/β-catenin signalling pathway.3,4-Dihydroxyphenyl ethanol, known as hydroxytyrosol (HTy), is a phenylpropanoid found in diverse vegetable species. Several studies have demonstrated that HTy is a potent antioxidant. Thus, our study is aimed to evaluate the antioxidant effect of HTy and its derivatives, hydroxytyrosol acetate (HTyA) and nitrohydroxytyrosol (HTyN), in a model of oxidative stress induced by 1-methyl-4-phenylpyridinium (MPP+) in rats. Rats were administered intravenously (i.v.) in the tail with 1 mL saline solution or polyphenol compound (1.5 mg/kg) 5 min before intrastriatal infusion of 10 µg MPP+/8 µL. We found that rats injured with MPP+, pretreatment with HTy, HTyA or HTyN significantly decreased ipsilateral turns. This result was consistent with a significant preservation of striatal dopamine levels and decreased lipid fluorescence products (LFP), a marker of oxidative stress. Brain GSH/GSSG ratio, from rats pretreated with HTy or HTyN showed a significant preservation of that marker, decreased as a consequence of MPP+-induced oxidative damage. These results show an antioxidant effect of HTy, HTyA and HTyN in the MPP+ model of Parkinson's disease in the rat.
  Our results provide insights into heat response mechanisms among Clematis species. Overexpressing CvHSFA2 enhanced the heat resistance of yeast and silencing NbHSFA2 reduced the heat resistance of tobacco. Clematis species are commonly grown in western and Japanese gardens. Heat stress can inhibit many physiological processes mediating plant growth and development. The mechanism regulating responses to heat has been well characterized in Arabidopsis thaliana and some crops, but not in horticultural plants, including Clematis species. In this study, we found that Clematis alpina 'Stolwijk Gold' was heat-sensitive whereas Clematis vitalba and Clematis viticella 'Polish Spirit' were heat-tolerant based on the physiological analyses in heat stress. Transcriptomic profiling identified a set of heat tolerance-related genes (HTGs). Consistent with the observed phenotype in heat stress, 41.43% of the differentially expressed HTGs between heat treatment and control were down-regulated in heat-sensitive cultivar Stold that the genes encoding heat shock transcription factors (HSFs) and heat shock proteins (HSPs) may played an essential role in Clematis resistance to heat stress.  https://www.selleckchem.com/products/abc294640.html  Two clades of heat-induced CvHSFs were further identified by phylogenetic tree, motif analysis and qRT-PCR. Ultimately, we proposed that overexpressing CvHSFA2-2 could endow yeast with high temperature resistance and silencing its homologous gene NbHSFA2 reduced the heat resistance of tobacco. This study provides first insights into the diversity of the heat response mechanisms among Clematis species.
  Random forests and dictionary-based statistical regressions have common characteristics, including non-linear mapping and supervised learning. To reduce the reconstruction error of high-resolution images, we integrate random forests and coupled dictionary learning.
 
  Textural differences of image blocks are considered by the classification of patches using an Auto-Encoder network. The proposed algorithm partitions an input LR image by 5 × 5 blocks and classifies training patches into six categories. A single random forest regressor is then trained corresponding to each class. The output of an RF is considered as an initial estimate of the HR slice. If a slice's representation is sparse in the Discrete Cosine Transform domain, the initial reconstructed image is further improved by a coupled dictionary.
 
  In this study, we applied our method to abdominal CT scans and compared them to conventional and recent researches. We achieved an average improvement of 0.06 (2.37) using the SSIM (PSNR) index compared to the random forest + dictionary learning method.