Anti-B7-1/B7-2 antibody elicits innate-effector responses in macrophages through NF-kB-dependent pathway

Blocking T cell co-stimulatory signals by anti-B7-1/B7-2 mAb is an attractive approach to treat autoimmune diseases. However, anti-B7-1/B7-2 mAb treatment is known to exacerbate autoimmune diseases through mechanisms not fully understood. Tumor necrosis factor alpha (TNF-α) and reactive oxygen species (ROS) also play important roles in determining the clinical outcome of autoimmune diseases. In this study, we demonstrate that the anti-B7-1 and the anti-B7-2 mAbs activate macrophages for higher induction of TNF-α and other effector responses such as bacterial cytotoxicity and production of ROS. Nuclear factor-kappaB (NF-kB) was found to be increased with anti-B7-1/B7-2 mAb treatment. Inhibition of NF-kB activity by over-expression of phosphorylation-defective I-kappaB alpha in anti-B7-1/B7-2 mAb-treated macrophages decreased TNF-α production. These data indicate that anti-B7-1 and anti-B7-2 mAbs can trigger innate-effector responses in macrophages by activating NF-kB-signaling pathway. Our results suggest that the B7 molecules are not only essential for induction of adaptive immune responses but also play roles in activation of innate immune responses

Prevalence of overweight and obesity based on the body mass index; a cross-sectional study in Alkharj, Saudi Arabia

Background: Obesity and overweight are accompanied with several different chronic diseases. Overweight and obesity can be measured by using body mass index (BMI) and is also used widely as an index of relative adiposity among any population. The aim of the study is to evaluate the prevalence of overweight and obesity among general population in Al-Kharj, Saudi Arabia.Methods: Cross-sectional analysis was undertaken from a representative sample (N = 1019) of the Al Kharj population. Anthropometric measurements including the waist circumference (in centimeters), height (in meters), and weight (in kilograms) of the subjects were undertaken by means of standard apparatus. SPSS 24.0 was utilized for statistical analysis of the data.Results: Majority of respondents in this study were overweight and obese (54.3%) compared with 45.7% being non-obese. A linear positive association of increasing BMI with older age groups was present in males and females. Men had larger waist circumference, weight and height measures as compared with their female counterparts. Regression analysis showed increasing age, being married and high serum cholesterol to be the significant predictors of overweight and obesity while gender, education level, job status, and having diabetes were not.Conclusions: The obesity-overweight prevalence in the Saudi population is high mainly across both genders. However, the associated factors are potentially preventable and modifiable. The regional barriers to lifestyle modifications and interventions to encourage active lifestyles, especially among adolescents to limit the occurrence of obesity and ultimately promote health and wellbeing, are warranted. Furthermore, prospective studies are needed in future to confirm the aetiological nature of such associations

The workings of the single member plurality electoral system in India and the need for reform

India uses single member plurality system (SMPS) to elect the members of the lower house of its national parliament and the state assemblies. Under SMPS, elections are conducted for separate geographical areas, known as constituencies or districts, and the electors cast one vote each for a candidate with the winner being the candidate who gets the plurality of votes. SMPS is traditionally defended primarily on the grounds of simplicity and its tendency to produce winning candidates, which promotes a link between constituents and their representatives. It tends to provide a clear-cut choice for voters between two main parties, and is expected to gives rise to single-party rather than coalition governments. It also has the benefit of excluding extremist parties from gaining representation, unless their support is geographically concentrated

Prevalence of prediabetes, diabetes and Its predictors among females in alkharj, saudi arabia: A cross-sectional study.

BACKGROUND/OBJECTIVE: The prevalence of prediabetes and diabetes is reaching epidemic proportions across the globe. Therefore, this study aims to determine the prevalence of prediabetes and diabetes, together with its accompanying risk factors, among young females. METHODS: An exploratory cross-sectional survey was conducted with 638 Saudi females in Alkharj, Saudi Arabia. Statistical analysis was carried out using STATA version 14. Odds ratios for the risk of diabetes and associated factors were calculated using log-binomial and multinomial logistic regression. Standardized prevalence and strata-specific prevalence of diabetes and prediabetes for different risk factors were also calculated. FINDINGS: The study revealed that nondiabetics and prediabetics were more prevalent between the ages of 18 and 24 years, while diabetic patients were consistently between 25 to 44 years of age. The average value for HbA1c in females was 5.44. Regression analysis shows that being older, married, obese, a smoker or less educated significantly increases the risk for both prediabetes and diabetes. Mutivariable analysis revealed obesity had a significant association with both prediabetes and diabetes. Prediabetics were 2.35 times more likely to be obese as compared to nondiabetics, with 95% CI (1.38-3.99). Similarly, diabetics were 6.67 times more likely to be obese compared to nondiabetics 95% CI (1.68-26.42). CONCLUSION: Our study shows the prevalence of diabetes and prediabetes among females from Al Kharj was 3.8% and 18.8%, respectively. The diabetic and prediabetic female participants had higher mean BMI and waist circumference, were older in age, were married, and smoked as compared to nondiabetics. In the context of the findings of our study, and keeping in view the the burden of this disease globally and in our population, it has now become extremely important to understand these factors and encourage health-promoting behaviors to construct effective interventions

Prevalence of prediabetes, diabetes, and Its associated risk factors among males in Saudi Arabia: A population-based survey

Objectives: The study aims at determining the prevalence of prediabetes and diabetes and at ascertaining some concomitant risk factorsamong males in Saudi Arabia.Methods: A population-based cross-sectional study including 381 Saudi adult males from different institutions was recruited. Odds ratios for diabetes risk and risk factors were calculated using log-binomial and multinomial logistic regression, using STATA version 12.Results: The participants included 381 diabetic males with a median age of 45 years, average body mass index of 25 ± 40 kg/m2, whereas waist circumferences ranged from 66 to 180 cm in the male study population. In addition, 27.82% had normal BMI, 32.28% were overweight, and 36.22% were obese. Around 36% had higher waist circumference, that is, \u3e102 cm. Age, BMI, marital status, and educational attainment were statistically significant predictors for prediabetes and diabetes.Conclusion: This study found that the prevalence of diabetes and prediabetes was 9.2% and 27.6%, respectively, for male Al-Kharj study population. The factors that increase the risk of diabetes and prediabetes include older age, obesity and overweight, being married, smoker, and having a civilian job and less education. All these factors were found statistically significant except smoking status and job type. In order to evaluate the causal relationship of these factors, prospective studies are required in future

Three-Dimensional Object Registration Using Wavelet Features

Recent developments in shape-based modeling and data acquisition have brought three-dimensional models to the forefront of computer graphics and visualization research. New data acquisition methods are producing large numbers of models in a variety of fields. Three-dimensional registration (alignment) is key to the useful application of such models in areas from automated surface inspection to cancer detection and surgery. The algorithms developed in this research accomplish automatic registration of three-dimensional voxelized models. We employ features in a wavelet transform domain to accomplish registration. The features are extracted in a multi-resolutional format, thus delineating features at various scales for robust and rapid matching. Registration is achieved by using a voting scheme to select peaks in sets of rotation quaternions, then separately identifying translation. The method is robust to occlusion, clutter, and noise. The efficacy of the algorithm is demonstrated through examples from solid modeling and medical imaging applications

Distributive Politics and Social Protection in the 21st Century

The University Archives has determined that this item is of continuing value to OSU's history.Dramatic economic and demographic transitions have prompted societies around the world to renegotiate the social bargains underpinning national social protection systems. In the process, social welfare reforms have laid bare deep fault lines of distributive conflict, cleaving societies across generations, income levels, and risk groups. Although considerable scholarly attention has been paid to the distinctive contours of these reforms, much of this inquiry remains bound within regional or national lines. As a step toward bridging these empirical and theoretical gaps, this workshop will bring together scholars engaged in research on social protection and distributive conflict in diverse regions of the world, from Latin America to Europe and Asia. Questions addressed in the workshop will include efforts to understand the longer-term implications of social welfare transformations, while asking what changes in social welfare spending, structure and function will imply for longer-term distributions of political and economic resources, risk and life chances. Lastly, participants in the workshop will ask how the shift of risks from collective social insurance programs to individuals affect social cohesion, and democratic stability.Ohio State University. Mershon Center for International Security StudiesEvent webpage, handou

International demands for austerity: examining the impact of the IMF on the public sector

What effects do International Monetary Fund (IMF) loans have on borrow-ing countries? Even after decades of research, no consensus exists. We offer a straight-forward explanation for the seemingly mixed effects of IMF loans. We argue thatdifferent loans have different effects because of the varied conditions attached to IMFfinancing. To demonstrate this point, we investigate IMF loans with and withoutconditions that require public sector reforms in exchange for financing. We find thatthe addition of a public sector reform condition to a country’s IMF program signifi-cantly reduces government spending on the public sector wage bill. This evidencesuggest that conditions are a key mechanism linking IMF lending to policy outcomes.Although IMF loans with public sector conditions prompt cuts to the wage bill in theshort-term, these cuts do not persist in the longer-term. Borrowers backslide oninternationally mandated spending cuts in response to domestic political pressures