Effect of a combination of dexmedetomidine and either isoflurane or sevoflurane on elderly patients undergoing radical resection for gallbladder cancer

Purpose: To determine the efficacy of dexmedetomidine (DEX) plus either isoflurane or sevoflurane, in elderly gallbladder cancer patients given radical resection. Methods: A total of 278 elderly patients assessed for eligibility and scheduled for radical gallbladder cancer resection in Hunan Cancer Hospital, Changsha, China were recruited. They were randomly assigned at a ratio of 1:1 to receive either DEX plus isoflurane or DEX plus sevoflurane. These two groups were compared with respect to immune functions (CD3+, CD 4+, CD 8+, and CD4+/CD8+ T cells); inflammatory factors, and cognitive function scores.Results: The sevoflurane cohort had higher immune function indices, lower levels of inflammatorycytokines, and better oxidative stress indices, than the isoflurane cohort (p < 0.05). Postoperatively,cognitive function scores in both cohorts were reduced. At postoperative 12 and 24 h, sevofluranecohort had higher scores than the isoflurane group. Sevoflurane was more effective in stabilizinghemodynamic indices than isoflurane.Conclusion: DEX plus sevoflurane produces more significant improvements in the cognitive function ofelderly patients undergoing radical resection for gallbladder cancer, with milder immune functionimpairment, milder inflammatory response, and lower degree of oxidative stress, than isofluran

Image Denoising via L

The L0 gradient minimization (LGM) method has been proposed for image smoothing very recently. As an improvement of the total variation (TV) model which employs the L1 norm of the gradient, the LGM model yields much better results for the piecewise constant image. However, just as the TV model, the LGM model also suffers, even more seriously, from the staircasing effect and the inefficiency in preserving the texture in image. In order to overcome these drawbacks, in this paper, we propose to introduce an effective fidelity term into the LGM model. The fidelity term is an exemplar of the moving least square method using steering kernel. Under this framework, these two methods benefit from each other and can produce better results. Experimental results show that the proposed scheme is promising as compared with the state-of-the-art methods

Efficient and Joint Hyperparameter and Architecture Search for Collaborative Filtering

Automated Machine Learning (AutoML) techniques have recently been introduced to design Collaborative Filtering (CF) models in a data-specific manner. However, existing works either search architectures or hyperparameters while ignoring the fact they are intrinsically related and should be considered together. This motivates us to consider a joint hyperparameter and architecture search method to design CF models. However, this is not easy because of the large search space and high evaluation cost. To solve these challenges, we reduce the space by screening out usefulness yperparameter choices through a comprehensive understanding of individual hyperparameters. Next, we propose a two-stage search algorithm to find proper configurations from the reduced space. In the first stage, we leverage knowledge from subsampled datasets to reduce evaluation costs; in the second stage, we efficiently fine-tune top candidate models on the whole dataset. Extensive experiments on real-world datasets show better performance can be achieved compared with both hand-designed and previous searched models. Besides, ablation and case studies demonstrate the effectiveness of our search framework.Comment: Accepted by KDD 202

Changes in element accumulation, phenolic metabolism, and antioxidative enzyme activities in the red-skin roots of Panax ginseng

AbstractBackgroundRed-skin root disease has seriously decreased the quality and production of Panax ginseng (ginseng).MethodsTo explore the disease's origin, comparative analysis was performed in different parts of the plant, particularly the epidermis, cortex, and/or fibrous roots of 5-yr-old healthy and diseased red-skin ginseng. The inorganic element composition, phenolic compound concentration, reactive oxidation system, antioxidant concentrations such as ascorbate and glutathione, activities of enzymes related to phenolic metabolism and oxidation, and antioxidative system particularly the ascorbate–glutathione cycle were examined using conventional methods.ResultsAluminum (Al), iron (Fe), magnesium, and phosphorus were increased, whereas manganese was unchanged and calcium was decreased in the epidermis and fibrous root of red-skin ginseng, which also contained higher levels of phenolic compounds, higher activities of the phenolic compound-synthesizing enzyme phenylalanine ammonia-lyase and the phenolic compound oxidation-related enzymes guaiacol peroxidase and polyphenoloxidase. As the substrate of guaiacol peroxidase, higher levels of H2O2 and correspondingly higher activities of superoxide dismutase and catalase were found in red-skin ginseng. Increased levels of ascorbate and glutathione; increased activities of l-galactose 1-dehydrogenase, ascorbate peroxidase, ascorbic acid oxidase, and glutathione reductase; and lower activities of dehydroascorbate reductase, monodehydroascorbate reductase, and glutathione peroxidase were found in red-skin ginseng. Glutathione-S-transferase activity remained constant.ConclusionHence, higher element accumulation, particularly Al and Fe, activated multiple enzymes related to accumulation of phenolic compounds and their oxidation. This might contribute to red-skin symptoms in ginseng. It is proposed that antioxidant and antioxidative enzymes, especially those involved in ascorbate–glutathione cycles, are activated to protect against phenolic compound oxidation

Antihyperglycemic and antihyperlipidemic action of cinnamaldehyde in C57blks/j Db/db mice

AbstractObjectiveTo investigate the effects of cinnamaldehyde (CA), an active and major compound in cinnamon, on glucose metabolism and insulin resistance in C57BLKS/J db/db mice.MethodsSixteen male C57BLKS db/db mice were randomly divided into control and CA treatment groups. CA was given (20 mg · kg−1 · day−1, p. o.) for 4 weeks. Pure water was given to control and db/+ mice. Subsequently, the levels of fasting blood glucose (FBG), fasting serum insulin, triglyeride, cholesterol, low-density lipoprotein -cholesterol (LDL-C), high-density lipoprotein-cholesterol (HDL-C), and free fatty acids (FFA), as well as the mRNA content of adiponectin and tumor necrosis factor (TNF)-α in adipose tissue, glucose transporter type 4 (GLUT-4) in skeletal muscle, and protein expressions of Akt, phospho-Akt (Thr308), AMPKα, phospho-AMPKα (Thr172) in skeletal muscle were measured.Results1) CA decreased serum levels of FBG and insulin as well as body weight in db/db mice; 2) CA increased serum HDL-C levels; 3) CA significantly decreased the mRNA expression of TNF-α in adipose tissue and upregulated mRNA expression of GLUT-4 in skeletal muscle; 4) protein expression of p-Akt was increased in CA-treated mice, but Akt, AMPKα and p-AMPKα showed no change.ConclusionCA has antihyperglycemic and antihyperlipidemic actions in db/db mice and could be useful in the treatment of type-2 diabetes

Smad Ubiquitination Regulatory Factor 1 (Smurf1) Promotes Thyroid Cancer Cell Proliferation and Migration via Ubiquitin-Dependent Degradation of Kisspeptin-1

Background/Aims: Thyroid cancer is the most common malignancy in human endocrine system. Smad ubiquitination regulatory factor 1 (Smurf1) is an E3 ubiquitin-protein ligase in ubiquitin-proteasome pathway (UPP) system. This study aimed to investigate the effects of Smurf1 on thyroid cancer proliferation and metastasis, as well as underlying potential mechanism. Methods: The expression levels of Smurf1 in thyroid tumor tissues and thyroid cancer cells were detected by western blotting and qRT-PCR. Then, the effects of up-regulation or down-regulation of Smurf1 on thyroid cancer cell viability, migration, invasion, proliferation and apoptosis were measured using trypan blue exclusion assay, two-chamber migration (invasion) assay, cell colony formation assay and Guava Nexin assay, respectively. The ubiquitination of kisspeptin-1 (KISS-1) was assessed by protein ubiquitination assay. Finally, the effects of KISS-1 overexpression on activity of nuclear factor-kappa B (NF-κB) signaling pathway, as well as thyroid cancer cell viability, migration, invasion, proliferation and apoptosis were also detected, respectively. Results: Smurf1 was highly expressed in thyroid tumor tissues and thyroid cancer cells. Up-regulation of Smurf1 promoted the viability, migration, invasion and proliferation of thyroid cancer cells. Knockdown of Smurf1 had opposite effects. Moreover, smurf1 promoted the ubiquitination of KISS-1. Overexpression of KISS-1 inactivated NF-κB pathway, suppressed thyroid cancer cell viability, migration, invasion and proliferation, and induced cell apoptosis. Conclusion: Up-regulation of Smurf1 exerted important roles in thyroid cancer formation and development by promoting thyroid cancer proliferation and metastasis. The ubiquitin-dependent degradation of KISS-1 induced by Smurf1 and the activation of NF-κB signaling pathway might be involved in this process. Smurf1 could be an effective therapy target and biomarker for thyroid cancer treatment

Comprehensive identification of alternative back-splicing in human tissue transcriptomes

Circular RNAs (circRNAs) are covalently closed RNAs derived from back-splicing of genes across eukaryotes. Through alternative back-splicing (ABS), a single gene produces multiple circRNAs sharing the same back-splice site. Although many ABS events have recently been discovered, to what extent ABS involves in circRNA biogenesis and how it is regulated in different human tissues still remain elusive. Here, we reported an in-depth analysis of ABS events in 90 human tissue transcriptomes. We observed that ABS occurred for about 84% circRNAs. Interestingly, alternative 5\u27 back-splicing occurs more prevalently than alternative 3\u27 back-splicing, and both of them are tissue-specific, especially enriched in brain tissues. In addition, the patterns of ABS events in different brain regions are similar to each other and are more complex than the patterns in non-brain tissues. Finally, the intron length and abundance of Alu elements positively correlated with ABS event complexity, and the predominant circRNAs had longer flanking introns and more Alu elements than other circRNAs in the same ABS event. Together, our results represent a resource for circRNA research-we expanded the repertoire of ABS events of circRNAs in human tissue transcriptomes and provided insights into the complexity of circRNA biogenesis, expression, and regulation