Molecular mediators linking stroke and carotid artery disease

Carotid artery disease is the most prevalent etiologic precursor of ischemic stroke, which is a major health hazard and the second most common cause of death in the world. If a patient presents with a symptomatic high-grade (>70%) stenosis in the internal carotid artery, the treatment of choice is carotid endarterectomy. However, the natural course of radiologically equivalent carotid lesions may be clinically quite diverse, and the reason for that is unknown. It would be of utmost importance to develop molecular markers that predict the symptomatic phenotype of an atherosclerotic carotid plaque (CP) and help to differentiate vulnerable lesions from stable ones. The aim of this study was to investigate the morphologic and molecular factors that associate with stroke-prone CPs. In addition to immunohistochemistry, DNA microarrays were utilized to identify molecular markers that would differentiate between symptomatic and asymptomatic CPs. Endothelial adhesion molecule expression (ICAM-1, VCAM-1, P-selectin, and E-selectin) did not differ between symptomatic and asymptomatic patients. Denudation of endothelial cells was associated with symptom-generating carotid lesions, but in studies on the mechanism of decay of endothelial cells, markers of apoptosis (TUNEL, activated caspase 3) were found to be decreased in the endothelium of symptomatic lesions. Furthermore, markers of endothelial apoptosis were directly associated with those of cell proliferation (Ki-67) in all plaques. FasL expression was significantly increased on the endothelium of symptomatic CPs. DNA microarray analysis revealed prominent induction of specific genes in symptomatic CPs, including those subserving iron and heme metabolism, namely HO-1, and hemoglobin scavenger receptor CD163. HO-1 and CD163 proteins were also increased in symptomatic CPs and associated with intraplaque iron deposits, which, however, did not correlate with symptom status itself. ADRP, the gene for adipophilin, was also overexpressed in symptomatic CPs. Adipophilin expression was markedly increased in ulcerated CPs and colocalized with extravasated red blood cells and cholesterol crystals. Taken together, the phenotypic characteristics and the numerous possible molecular mediators of the destabilization of carotid plaques provide potential platforms for future research. The denudation of the endothelial lining observed in symptomatic CPs may lead to direct thromboembolism and maintain harmful oxidative and inflammatory processes, predispose to plaque microhemorrhages, and contribute to lipid accumulation into the plaque, thereby making it vulnerable to rupture.

Paradigms in Statistical Inference for Finite Populations; Up to the 1950s

Modern sample surveys started to spread after statistician at the U.S. Bureau of the Census in the 1940s had developed a sampling design for the Current Population Survey (CPS). A significant factor was also that digital computers became available for statisticians. In the beginning of 1950s, the theory was documented in textbooks on survey sampling. This thesis is about the development of the statistical inference for sample surveys. For the first time the idea of statistical inference was enunciated by a French scientist, P. S. Laplace. In 1781, he published a plan for a partial investigation in which he determined the sample size needed to reach the desired accuracy in estimation. The plan was based on Laplace s Principle of Inverse Probability and on his derivation of the Central Limit Theorem. They were published in a memoir in 1774 which is one of the origins of statistical inference. Laplace s inference model was based on Bernoulli trials and binominal probabilities. He assumed that populations were changing constantly. It was depicted by assuming a priori distributions for parameters. Laplace s inference model dominated statistical thinking for a century. Sample selection in Laplace s investigations was purposive. In 1894 in the International Statistical Institute meeting, Norwegian Anders Kiaer presented the idea of the Representative Method to draw samples. Its idea was that the sample would be a miniature of the population. It is still prevailing. The virtues of random sampling were known but practical problems of sample selection and data collection hindered its use. Arhtur Bowley realized the potentials of Kiaer s method and in the beginning of the 20th century carried out several surveys in the UK. He also developed the theory of statistical inference for finite populations. It was based on Laplace s inference model. R. A. Fisher contributions in the 1920 s constitute a watershed in the statistical science He revolutionized the theory of statistics. In addition, he introduced a new statistical inference model which is still the prevailing paradigm. The essential idea is to draw repeatedly samples from the same population and the assumption that population parameters are constants. Fisher s theory did not include a priori probabilities. Jerzy Neyman adopted Fisher s inference model and applied it to finite populations with the difference that Neyman s inference model does not include any assumptions of the distributions of the study variables. Applying Fisher s fiducial argument he developed the theory for confidence intervals. Neyman s last contribution to survey sampling presented a theory for double sampling. This gave the central idea for statisticians at the U.S. Census Bureau to develop the complex survey design for the CPS. Important criterion was to have a method in which the costs of data collection were acceptable, and which provided approximately equal interviewer workloads, besides sufficient accuracy in estimation.