The effects of hypertonic saline solution (HSS) have been shown in several animal models of ischemia and shock. Literature has shown potential benefits of HSS modulating inflammatory response after sepsis in an animal model. We studied the HSS effects in sepsis through cecal ligation and puncture (CLP) in Balb-C mice. Groups studied: 1- CLP without treatment (CLP-C); 2- CLP treated with normal ...

Purpose: To investigate the mechanism of resveratrol protection against sepsis-induced acute kidney injury in mice.
 Methods: A model was established mice by cecal ligation and puncture (CLP). Sixty healthy male ICR were randomly divided into sham operation (sham) group, (CLP) CLP + low-dose (20 mg/kg) treatment (CLP ResL) high-dose (40 ResH) group Klotho (0.01 Klotho) group. All administe...

context: sepsis is one of the major causes of death in intensive care units. oxidative stress and hyper-inflammation has been shown to be major cause of mortality and morbidity in septic cases. pomegranate is a fruit considered for its antioxidant and anti-inflammatory properties. aims: the aim of this study is to evaluate the effect of a standard pomegranate fruit liquid extract  (pomx), on mo...

Background: Sepsis is a systemic inflammatory disease in response to the pathogens that leads to vital organ failures the failure of vital organs. Appropriate animal models should be developed to measure the effectiveness of therapeutic methods. Cecal Ligation and Puncture (CLP) is the most widely used methods of creating the sepsis model. Some variables interfere in the creation of the CLP mod...

The pathophysiology of sepsis involves complex cytokine and inflammatory mediator networks, a mechanism to which NF-κB activation is central. Downregulation of endothelial nitric oxide synthase (eNOS) contributes to sepsis-induced endothelial dysfunction. Erythropoietin (EPO) has emerged as a major tissue-protective cytokine in the setting of stress. We investigated the role of EPO in sepsis-re...

This paper presents a novel approach, using hybrid feature selection (HFS), machine learning (ML), and particle swarm optimization (PSO) to predict optimize construction labor productivity (CLP). HFS selects factors that are most predictive of CLP reduce the complexity data. Selected used as inputs for four ML models prediction. The study results showed random forest (RF) obtains better perform...

Constraint Logic Programming (CLP) is a relatively new programming paradigm. During its ten years of existence, the theory of CLP has been increasingly understood and the two diierent approaches, domain technology and incremental linear solving, have been implemented in various CLP systems. Meanwhile, the commercial attractivity of CLP has been growing. Since 1989 a couple of commercial CLP sys...