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6% and 92.9% of patients respectively. LRVL resulted in a significant augmentation of portal hemodynamics in both the adult and paediatric recipients. Postoperatively, 14.3% and 35.7% of patients developed chylous drain output and AKI respectively. Of 13 patients who underwent CT at various timeframes, 5 patients had a partial re-canalisation of LRV at 6months.

From renal and portal standpoints, LRVL is a safe and effective technique of augmenting portal inflow. Further large-scale multicentre studies and consensus will help define an objective algorithmic approach to LT recipients with SLS.

From renal and portal standpoints, LRVL is a safe and effective technique of augmenting portal inflow. Further large-scale multicentre studies and consensus will help define an objective algorithmic approach to LT recipients with SLS.

There are controversies about the ability of neutrophil to lymphocyte ratio to predict the recurrence and survival in patients with locally advanced rectal cancer (LARC) treated with neoadjuvant chemoradiation. The objective of this study is to investigate the prognostic potential of combined lymphocyte count (LC) and neutrophil count (NC) in LARC patients treated with chemoradiotherapy (CRT) followed by curative surgery.

Patients with LARC who underwent surgical resection between January 2010 and December 2017 were reviewed retrospectively. We divided the patients into three groups high LC and low NC, low LC and high NC, and the remaining patients. The cut-off values of LC and NC were determined by receiver operating characteristic curve analysis and log-rank test statistics. We compared the disease-free survival (DFS) rate between the groups.

A total of 176 consecutive patients were included in this study. The 5year DFS rate was significantly different among the three groups in pathologic node (pN)+ patients (73.2% vs. 61.9% vs. 14.2%; P = 0.025). Cox multivariate analysis for pN+ patients demonstrated that combination of low LC and high NC (hazard ratio, 3.630; 95% confidence interval [CI], 1.306-10.093; P = 0.013) was significantly correlated with decreased DFS.

This study showed that the combination of LC and NC is a powerful predictive factor for disease recurrence in pN+ LARC patients who underwent CRT.

This study showed that the combination of LC and NC is a powerful predictive factor for disease recurrence in pN+ LARC patients who underwent CRT.

This study aimed to explore the protective effect of broccoli microgreens juice (BMJ) during C57BL/6J mice obesity development.

The obese model mice, induced by feeding high-fat diet (HFD), were treated with BMJ by gavage for 10weeks. Melbine was gavaged at 300mg/(kg bw)/d, as a positive control group.

BMJ supplementation significantly reduced white adipose tissues (WAT) mass, the body weight and adipocyte size, and increased water intake in HFD-fed mice. Moreover, it improved glucose tolerance, reduced insulin level and HOMA-IR value, and alleviated insulin resistance. Compared with the HFD group, BMJ supplementation significantly increased the relative abundance of Bacteroidetes and decreased the ratio of Firmicutes to Bacteroidetes at the phylum level, and enriched Bacteroides_acidifaciens at the species level. These changes in the composition of gut microbiota are associated with the production of short-chain fatty acids (SCFAs), and reduced LPS levels, and had an obvious anti-inflammatory effect.

These findings suggested that the protective effects of BMJ on diet-induced obesity may be involved in gut microbiota-SCFAs-LPS-inflammatory axis. In addition, BMJ can enhance liver antioxidant capacity and reduce liver fat accumulation. Consequently, these results sustain BMJ as a novel functional food for obesity, on the basis of its opposing effects on HFD-induced obesity in mice.

These findings suggested that the protective effects of BMJ on diet-induced obesity may be involved in gut microbiota-SCFAs-LPS-inflammatory axis. In addition, BMJ can enhance liver antioxidant capacity and reduce liver fat accumulation. selleck kinase inhibitor Consequently, these results sustain BMJ as a novel functional food for obesity, on the basis of its opposing effects on HFD-induced obesity in mice.Fluorotelomer alcohols (FTOHs) are widely used as industrial raw materials due to their unique hydrophobic and oleophobic properties. However, because of accidental exposure to products containing FTOHs or with the widespread use of FTOHs, they tend to contaminate the water and the soil. There are reports demonstrating that FTOHs can cause various harmful effects in animals and humans (for example, neurotoxicity, hepatotoxicity, nephrotoxicity, immunotoxicity, endocrine-disrupting activity, and developmental and reproductive toxicities). Oxidative stress is related to a variety of toxic effects induced by FTOHs. To date, few reviews have addressed the relationship between the toxicity of FTOHs and oxidative stress. This article summarises research demonstrating that the toxicity induced by FTOHs correlates with oxidative stress and metabolism. Furthermore, during the metabolic process of FTOHs, a number of cytochrome P450 enzymes (CYP450) are involved and many metabolites are produced by these enzymes, which can induce oxidative stress. This is also reviewed.Health risks at population level may be investigated with different types of environmental studies depending on access to data and funds. Options include ecological studies, case-control studies with individual interviews and human sample analysis, risk assessment or cohort studies. Most public health projects use data and methodologies already available due to the cost of ad-hoc data collection. The aim of the article is to perform a literature review of environmental exposure and health outcomes with main focus on methodologies for assessing an association between water and/or soil pollutants and cancer. A systematic literature search was performed in May 2019 using PubMed. Articles were assessed by four independent reviewers. Forty articles were identified and divided into four groups, according to the data and methods they used, i.e. (1) regression models with data by geographical area; (2) regression models with data at individual level; (3) exposure intensity threshold values for evaluating health outcome trends; (4) analyses of distance between source of pollutant and health outcome clusters.