Palmitate induces insulin resistance in monocytes and increases expression of the integrin CD11b

Obesity and insulin resistance are important risk factors for atherosclerosis, and elevated level of plasma NEFA is a common feature in individuals with obesity and insulin resistance. Palmitate, one of the most abundant non-esterified SFA in plasma, has been reported to induce insulin resistance in adipose tissues and skeletal muscles and to cause an increased inflammatory response in monocytes. The present study investigated whether palmitate can induce insulin resistance in monocytes and its effect on monocyte adhesion molecular expression (CD11b). Insulin resistance was measured by in vitro uptake of insulin-stimulated 3H-labelled 2-deoxy-D-glucose into THP-1 cells, cell surface CD11b expression was measured by flow cytometry. The data showed that palmitate-induced insulin resistance in THP-1 monocytes was concentration and time dependent (Figure 1). The insulin-stimulated glucose uptake was significantly decreased in cells treated with 300 mM-palmitate compared with control cells (P<0.001) and was observed within 6 h, but was not a result of palmitate toxicity. There was no significant increase in caspase 3 activation (P>0.05). Treatment with 300 mM-palmitate for 24 h also caused a significant increase in surface CD11b expression in both U937 and THP-1 monocytic cell lines and human primary monocytes compared with the control (P<0.001). Both these effects were inhibited by co-incubation with Fumonisin B1, an inhibitor of de novo ceramide synthesis. In conclusion, these data show that palmitate, at physiological concentrations, can cause insulin resistance in monocytes and increase monocyte surface integrin CD11b expression, which is in part the result of the synthesis of ceramide.

Dietary enrichment with almond (Prunus amygdalis) supplementation: effects on CVD risk biomarkers

Epidemiological evidence suggests that diets rich in fruits, vegetables and pulses reduce the risk of CVD. The Physicians Health Study has demonstrated reduction of CHD death with regular nut consumption1. One major modifiable risk factor for CHD is an unhealthy diet. Thus, an almondenrichment study has been undertaken to examine the benefit of almonds (Prunus amygdalis) in healthy individuals either with or without significant risk of vascular disease. Almonds contain various macronutrients (low SFA content, absence of cholesterol and high MUFA content) and micronutrients, including vitamin E, polyphenols and arginine, which afford vascular benefit. The effects of almond consumption (25 g/d for 4 weeks followed by 50 g/d for 4 weeks) were evaluated in three non-smoking subject groups: healthy male volunteers between the ages of 18 and 35 years (n 15); men at risk of heart disease between the ages of 18 and 35 years (n 12); mature men and women >50 years of age (n 18). A fourth control group (n 14) were followed over 8 weeks without dietary almond enrichment as a treatment control. None of the subjects withdrew from the study and 90% completed the study. The interim results of the study showed that in the three active groups there was little evidence for a change in total cholesterol, LDL-cholesterol or HDL-cholesterol. In the mature group there was a trend towards increasing HDL-cholesterol. The mature and ‘at-risk’ groups also showed a significant changes in systolic blood pressure (P<0.05) during almond consumption. The healthy group showed a decrease in diastolic blood pressure (P<0.05). The ‘at-risk’ group showed a significant increase (P<0.05) in flowmediated dilation after 8 weeks of almond consumption. Data analysis is ongoing, with completion of the study in November 2007. The beneficial effects of almond consumption on flow-mediated dilation and blood pressure may be attributed to the high content in almonds of arginine, which serves as a precursor to the vasodilatory molecule, NO.

The impact of ICT on productivity of airline industry

Airline industry is at the forefront of many technological developments and is often a pioneer in adopting such innovations in a large scale. It needs to improve its efficiency as the current trends for input prices and competitive pressures show that any airline will face increasingly challenging market conditions. This paper has focused on the relationship between ICT investments and efficiency in the airline industry and employed a two-stage analytical investigation, DEA, SFA and the Tobit regression model. In this study, we first estimate the productivity of the airline industry using a balanced panel of 17 airlines over the period 1999–2004 by the Data Envelop Analysis (DEA) and the Stochastic Frontier Analysis (SFA) methods. We then evaluate the impacts of the determinants of productivity in the industry concentrating on ICT. The results suggest that regardless of all the negative shocks to the airline industry during the sample period, ICT had a positive effect on productivity during 1999-2004.

Process orientation and information technology:customer engagement at Xerox (UK) Ltd

Xerox Customer Engagement activity is informed by the "Go To Market" strategy, and "Intelligent Coverage" sales philosophy. The realisation of this philosophy necessitates a sophisticated level of Market Understanding, and the effective integration of the direct channels of Customer Engagement. Sophisticated Market Understanding requires the mapping and coding of the entire UK market at the DMU (Decision Making Unit) level, which in turn enables the creation of tailored coverage prescriptions. Effective Channel Integration is made possible by the organisation of Customer Engagement work according to a single, process defined structure: the Selling Process. Organising by process facilitates the discipline of Task Substitution, which leads logically to creation of Hybrid Selling models. Productive Customer Engagement requires Selling Process specialisation by industry sector, customer segment and product group. The research shows that Xerox's Market Database (MDB) plays a central role in delivering the Go To Market strategic aims. It is a tool for knowledge based selling, enables productive SFA (Sales Force Automation) and, in sum, is critical to the efficient and effective deployment of Customer Engagement resources. Intelligent Coverage is not possible without the MDB. Analysis of the case evidence has resulted in the definition of 60 idiographic statements. These statements are about how Xerox organise and manage three direct channels of Customer Engagement: Face to Face, Telebusiness and Ebusiness. Xerox is shown to employ a process-oriented, IT-enabled, holistic approach to Customer Engagement productivity. The significance of the research is that it represents a detailed (perhaps unequalled) level of rich description of the interplay between IT and a holistic, process-oriented management philosophy.

Evaluating productive efficiency:comparative study of commercial banks in Gulf countries

Financial institutes are an integral part of any modern economy. In the 1970s and 1980s, Gulf Cooperation Council (GCC) countries made significant progress in financial deepening and in building a modern financial infrastructure. This study aims to evaluate the performance (efficiency) of financial institutes (banking sector) in GCC countries. Since, the selected variables include negative data for some banks and positive for others, and the available evaluation methods are not helpful in this case, so we developed a Semi Oriented Radial Model to perform this evaluation. Furthermore, since the SORM evaluation result provides a limited information for any decision maker (bankers, investors, etc...), we proposed a second stage analysis using classification and regression (C&R) method to get further results combining SORM results with other environmental data (Financial, economical and political) to set rules for the efficient banks, hence, the results will be useful for bankers in order to improve their bank performance and to the investors, maximize their returns. Mainly there are two approaches to evaluate the performance of Decision Making Units (DMUs), under each of them there are different methods with different assumptions. Parametric approach is based on the econometric regression theory and nonparametric approach is based on a mathematical linear programming theory. Under the nonparametric approaches, there are two methods: Data Envelopment Analysis (DEA) and Free Disposal Hull (FDH). While there are three methods under the parametric approach: Stochastic Frontier Analysis (SFA); Thick Frontier Analysis (TFA) and Distribution-Free Analysis (DFA). The result shows that DEA and SFA are the most applicable methods in banking sector, but DEA is seem to be most popular between researchers. However DEA as SFA still facing many challenges, one of these challenges is how to deal with negative data, since it requires the assumption that all the input and output values are non-negative, while in many applications negative outputs could appear e.g. losses in contrast with profit. Although there are few developed Models under DEA to deal with negative data but we believe that each of them has it is own limitations, therefore we developed a Semi-Oriented-Radial-Model (SORM) that could handle the negativity issue in DEA. The application result using SORM shows that the overall performance of GCC banking is relatively high (85.6%). Although, the efficiency score is fluctuated over the study period (1998-2007) due to the second Gulf War and to the international financial crisis, but still higher than the efficiency score of their counterpart in other countries. Banks operating in Saudi Arabia seem to be the highest efficient banks followed by UAE, Omani and Bahraini banks, while banks operating in Qatar and Kuwait seem to be the lowest efficient banks; this is because these two countries are the most affected country in the second Gulf War. Also, the result shows that there is no statistical relationship between the operating style (Islamic or Conventional) and bank efficiency. Even though there is no statistical differences due to the operational style, but Islamic bank seem to be more efficient than the Conventional bank, since on average their efficiency score is 86.33% compare to 85.38% for Conventional banks. Furthermore, the Islamic banks seem to be more affected by the political crisis (second Gulf War), whereas Conventional banks seem to be more affected by the financial crisis.

The impact of Islamic banking on the cost efficiency and productivity change of Malaysian commercial banks

This study employs Stochastic Frontier Analysis (SFA) to analyse Malaysian commercial banks during 1996–2002, and particularly focuses on determining the impact of Islamic banking on performance. We derive both net and gross efficiency estimates, thereby demonstrating that differences in operating characteristics explain much of the difference in costs between Malaysian banks. We also decompose productivity change into efficiency, technical, and scale change using a generalized Malmquist productivity index. On average, Malaysian banks experience moderate scale economies and annual productivity change of 2.68%, with the latter driven primarily by Technical Change (TC), which has declined over time. Our gross efficiency estimates suggest that Islamic banking is associated with higher input requirements. However, our productivity estimates indicate that full-fledged Islamic banks have overcome some of these cost disadvantages with rapid TC, although this is not the case for conventional banks operating Islamic windows. Merged banks are found to have higher input usage and lower productivity change, suggesting that bank mergers have not contributed positively to bank performance. Finally, our results suggest that while the East Asian financial crisis had a short-term costreducing effect in 1998, the crisis triggered a long-lasting negative impact by increasing the volume of nonperforming loans.

FDI horizontal and vertical effects on local firm technical efficiency

Differencing from previous studies on foreign direct investment (FDI) spillovers to domestic enterprises which mainly focus on productivity, in this paper we take a different perspective by analysing the impacts of FDI to technical efficiency of domestic firms. The paper goes beyond the current literature to shed some light on the spillover effects of FDI to technical efficiency of small and medium enterprises in a developing country. By exploiting a firm-level panel dataset and using SFA models following Battese and Coelli (1995), the paper is able to analyse horizontal spillovers through imitation and competition and labour mobility as well as vertical spillovers through backward and forward linkages on technical efficiency. The paper contributes to the understanding of potential effects on foreign invested enterprises on domestic economy in general and local enterprises performance in particular. Thus it importantly assists policy making by the government of developing countries, where FDI is believed to create technical spillovers on domestic enterprises.

The measurement and decomposition of economy-wide productivity growth:Assessing the accuracy and selecting between different approaches

Productivity at the macro level is a complex concept but also arguably the most appropriate measure of economic welfare. Currently, there is limited research available on the various approaches that can be used to measure it and especially on the relative accuracy of said approaches. This thesis has two main objectives: firstly, to detail some of the most common productivity measurement approaches and assess their accuracy under a number of conditions and secondly, to present an up-to-date application of productivity measurement and provide some guidance on selecting between sometimes conflicting productivity estimates. With regards to the first objective, the thesis provides a discussion on the issues specific to macro-level productivity measurement and on the strengths and weaknesses of the three main types of approaches available, namely index-number approaches (represented by Growth Accounting), non-parametric distance functions (DEA-based Malmquist indices) and parametric production functions (COLS- and SFA-based Malmquist indices). The accuracy of these approaches is assessed through simulation analysis, which provided some interesting findings. Probably the most important were that deterministic approaches are quite accurate even when the data is moderately noisy, that no approaches were accurate when noise was more extensive, that functional form misspecification has a severe negative effect in the accuracy of the parametric approaches and finally that increased volatility in inputs and prices from one period to the next adversely affects all approaches examined. The application was based on the EU KLEMS (2008) dataset and revealed that the different approaches do in fact result in different productivity change estimates, at least for some of the countries assessed. To assist researchers in selecting between conflicting estimates, a new, three step selection framework is proposed, based on findings of simulation analyses and established diagnostics/indicators. An application of this framework is also provided, based on the EU KLEMS dataset.

Fatty acids, monocytes and ageing

Elevated free fatty acids (FFA) are a feature of ageing and a risk factor for metabolic disorders such as cardiovascular disease (CVD) and type-2 diabetes (T2D). Elevated FFA contribute to insulin resistance, production of inflammatory cytokines and expression of adhesion molecules on immune cells and endothelial cells, risk factors for CVD and T2D. Molecular mechanisms of FFA effects on monocyte function and how FFA phenotype is affected by healthy ageing remain poorly understood. This thesis evaluated the effects of the two major FFA in plasma, oleate and palmitate on monocyte viability, cell surface antigen expression, and inflammatory activation in THP-1 monocytes. Palmitate but not oleate increased cell surface expression of CD11b and CD36 after 24h, independent of mitochondrial superoxide, but dependent on de novo synthesis of ceramides. LPS-mediated cytokine production in THP-1 monocytes was enhanced and decreased following incubation with palmitate and oleate respectively. In a model of monocyte-macrophage differentiation, palmitate induced a pro-inflammatory macrophage phenotype which required de novo ceramide synthesis, whilst oleate reduced cytokine secretion, producing a macrophage with enhanced clearance apoptotic cells. Plasma fatty acid analysis in young and mid-life populations revealed age-related increases in both the SFA and MUFA classes, especially the medium and very long chain C14 and C24 fatty acids, which were accompanied by increases in the estimated activities of desaturase enzymes. Changes were independently correlated with increased PBMC CD11b, plasma TNF-a and insulin resistance. In conclusion, the pro-atherogenic phenotype, enhanced LPS responses in monocytes, and pro-inflammatory macrophage in the presence of palmitate but not oleate is reliant upon de novo ceramide synthesis. Age-related increases in inflammation, cell surface integrin expression are related to increases in both the MUFA and SFA fatty acids, which in part may be explained by altered de novo fatty acid synthesis.

Firm-level productivity growth in Northern Ireland:the impact of exporting, innovation and public financial assistance

Motivated by the historically poor productivity performance of Northern Ireland firms and the longstanding productivity gap with the UK, the aim of this thesis is to examine, through the use of firm-level data, how exporting, innovation and public financial assistance impact on firm productivity growth. These particular activities are investigated due to the continued policy focus on their link to productivity growth and the theoretical claims of a direct positive relationship. In order to undertake these analyses a newly constructed dataset is used which links together cross-sectional and longitudinal data over the 1998-2008 period from the Annual Business Survey, the Manufacturing Sales and Export Survey; the Community Innovation Survey and Invest NI Selective Financial Assistance (SFA) payment data. Econometric methodologies are employed to estimate each of the relationships with regards to productivity growth, making use in particular of Heckman selection techniques and propensity score matching to take account of critical issues of endogeneity and selection bias. The results show that more productive firms self-select into exporting but there is no resulting productivity effect from starting to export; contesting the argument for learning-by-exporting. Product innovation is also found to have no impact on productivity growth over a four year period but there is evidence of a negative process innovation impact, likely to reflect temporary learning effects. Finally SFA assistance, including the amount of the payment, is found to have no short term impact on productivity growth suggesting substantial deadweight effects and/or targeting of inefficient firms. The results provide partial evidence as to why Northern Ireland has failed to narrow the productivity gap with the rest of the UK. The analyses further highlight the need for access to comprehensive firm-level data for research purposes, not least to underpin robust evidence-based policymaking.