Matrix Metalloproteinase Gene Delivery for Liver Fibrosis

The resolution of advanced liver fibrosis has been recently recognized to be possible, if the causative stimuli are successfully removed. However, whether complete resolution from cirrhosis, the end stage of liver fibrosis, can be achieved is still questionable. Delivery of interstitial collagenases, such as matrix metalloproteinase (MMP)-1, in the liver could be an attractive strategy to treat advanced hepatic fibrosis from the view point that the imbalance between too few interstitial collagenases and too many of their inhibitors is the main obstacle to the resolution from fibrosis. Remodeling of hepatic extracellular matrix by delivered interstitial collagenases also facilitates the disappearance of activated hepatic stellate cells, the main matrix-producing cells in the liver, and promotes the proliferation of hepatocytes. This review will focus on the impact of the gene delivery of MMPs for the treatment of advanced liver fibrosis while discussing other current therapeutic strategies for liver fibrosis, and on the need for the development of a safe and effective delivery system of MMPs

Knock modeling: An Integrated tool for detailed chemistry and engine cycle simulation

For the simultaneous evaluation of the influence on engine knock of both chemical conditions and global operating parameters, a combined tool was developed. Thus, a two-zone kinetic model for SI engine combustion calculation (Ignition) was implemented into an engine cycle simulation commercial code. The combined model predictions are compared with experimental data from a single-cylinder test engine. This shows that the model can accurately predict the knock onset and in-cylinder pressure and temperature for different lambda conditions, with and without EGR. The influence of nitric oxide amount from residual gas in relation with knock is further investigated. The created numerical tool represents a useful support for experimental measurements, reducing the number of tests required to assess the proper engine control strategies. Copyright © 2003 SAE International

Knowledge and Attitudes towards Epidural Analgesia among Women of Childbearing Age in Jazan, Saudi Arabia: A Community-Based Cross-Sectional Study to Identify Predictors through Multivariate Modeling

Epidural analgesia (EA) is a central nerve blockade technique. It is linked to a significant reduction of labor pain and side effects. This study was designed to investigate the knowledge and attitudes towards EA among women of childbearing age (18–45 years) in Jazan, Saudi Arabia, and identify predictors through multivariate modeling. A random sampling technique (n = 680) was used for this cross-sectional, self-administered survey. A previously validated online questionnaire was distributed. After establishing a P value of less than 0.05 to denote statistical significance, SPSS was used to examine the data using descriptive analysis, the chi-square test of homogeneity, and multivariate logistic regression. Six hundred and eighty women were studied. Over 75% of the participants were university educated; less than half (46.3%) were 21–30 years old, students (42.2%), and had never been pregnant (49%). The previous mothers who had never had EA labor accounted for 64.6% (n = 347, 51.0%). “Family/friends” (39%), followed by “internet” (32%), were the most common sources of EA information. Those who correctly defined the EA accounted for 61.8%. Those who reported weak or no contractions after EA accounted for 32.2%. Those who said EA insertion hurt more than labor did accounted for 56.3%. Those women who said one should give consent to EA accounted for 83.1%. Those who believe EA is safe for the baby accounted for 50.1%. Those who knew about EA complications accounted for 24.34%. According to multivariate modeling, attitude score plays a significant role in determining the participant’s knowledge level. This study found that childbearing women know a little about EA. Attitudes affected this knowledge level, and demographics did not. Cognitive intervention is needed to change these attitudes and spread EA-related knowledge