Familial aggregation, candidate genes and genome scans: Analyzing the role of genetics in stroke

The genetic etiology of stroke likely reflects the influence of multiple loci with small effects, each modulating different pathophysiological processes. This research project utilized three analytical strategies to address the paucity of information related to the identification and characterization of genetic variation associated with stroke in the general population. ^ First, the general contribution of familial factors to stroke susceptibility was evaluated in a population-based sample of unrelated individuals. Increased risk of subclinical cerebral infarction was observed among individuals with a positive parental history of stroke. This association did not appear to be mediated by established stroke risk factors, specifically blood pressure levels or hypertension status. ^ The need to identify specific gene variation associated with stroke in the general population was addressed by evaluating seven candidate gene polymorphisms in a population-based sample of unrelated individuals. Three polymorphisms were significantly associated with increased subclinical cerebral infarction or incident clinical ischemic stroke risk. These relationships include the G-protein β3 subunit 825C/T polymorphism and clinical stroke in Whites, the lipoprotein lipase S/X447 polymorphism and subclinical and clinical stroke in men, and the angiotensin I-converting enzyme Ins/Del polymorphism and subclinical stroke in White men. These associations did not appear to be obfuscated by the stroke risk factors adjusted for in the analysis models specifically blood pressure levels or anti-hypertensive medication use. ^ The final research strategy considered, on a genome-wide scale, the idea that genetic variation may contribute to the occurrence of hypertension or stroke through a common etiologic pathway. Genomic regions were identified for which significant evidence of heterogeneity was observed among hypertensive sibpairs stratified by family history of stroke information. Regions identified on chromosome 15 in African Americans, and chromosome 13 in Whites and African Americans, suggest the presence of genes influencing hypertension and stroke susceptibility. ^ Insight into the role of genetics in stroke is useful for the potential early identification of individuals at increased risk for stroke and improved understanding of the etiology of the disease. The ultimate goal of these endeavors is to guide the development of therapeutic intervention and informed prevention to provide a lasting and positive impact on public health. ^

The role of CD1d in adipogenesis

Atherosclerosis-associated coronary heart disease is the number one cause of death in the western society, and often triggered by metabolic disorders, such as hyperlipidemia, hypertension, obesity, and diabetes. The CD1 molecules are a group of evolutionarily conservative transmembrane proteins that have recently emerged as novel lipid-binding and transporting molecules. The current study was aimed at illustrating the role of CD1d in regulation of lipid metabolism and adipogenesis. In stably transfected smooth muscle cells where CD1d is overexpressed via a pCMV promoter, high levels of binding of the oxysterol 7-ketocholesterol was found. Adipogenic treatment induces the cells to transdifferentiate into an adipocyte-like morphology. This adipocyte morphology of CD1d transfected SMCs strongly resembles that of the pre-adipocytes 3T3-L1 cells grown in the same adipogenic media. Adipogenic treatment of CD1d transfected 3T3-L1 cells led to an increased accumulation of lipids compared to mock transfected cells. Induction of adipogenic gene expression and activation, such as PPARγ and lipoprotein lipase (LPL), was achieved in adipogenically treated smooth muscle cells as well as 3T3-L1 cells with overexpression of CD1d. For determination of the role of CD1d in regulation of adipogenesis, a CD1d transgenic mouse strain was created using the CD1d-smooth muscle promoter construct. Compared to wild type control mice matched in age and sex, the transgenic mice show an age-dependent increase in abdominal and visceral fat tissue. Histopathological examination demonstrated marked enlargement of adipocytes in the transgenic fat tissue which otherwise remained a normal fat tissue structure. Immunohistochemical analysis of CD1d expression in the fat tissue revealed much stronger membrane CD1d immunostaining in the transgenic tissue than the wild type fat tissue. Under normal chow diets, CD1d-transgenic mice also developed fatty livers. In conclusion, CD1d serves as a regulator of lipid metabolism, which may transducer signals from oxysterols to induce expression of genes important in lipogenesis. These experimental results point to a novel mechanism by which CD1d mediates lipid metabolism in adipose tissue and contributes to the development of obesity. ^

Interactions between cyclosporin A, low-density lipoprotein and the low-density lipoprotein receptor

Cyclosporine A (CSA) is a cyclic eleven amino acid, lipophilic molecule used therapeutically as an immunosuppressive agent. Cyclosporine can specifically inhibit the transcription of a number of different genes. It is known that CSA is bound almost exclusively to lipoproteins in plasma, however, the relationship between the low density lipoprotein (LDL), the LDL receptor, and CSA has not been fully elucidated. The exact mechanism of cellular uptake of CSA is unknown, but it is believed to be by simple passive diffusion across the cell membrane. In addition, it has been recently shown that the frequent finding of hypercholesterolemia seen in patients treated with CSA can be explained by a CSA-induced effect. The mechanism by which CSA induces hypercholesterolemia is not known. We have used an LDL receptor-deficient animal model, the Watanabe Heritable Hyperlipidemic (WHHL) rabbit to investigate the role of LDL and the LDL receptor in the cellular uptake of CSA. Using this animal model, we have shown that CSA uptake by lymphocytes is predominantly LDL receptor-mediated. Chemical modification of apoB-100 on LDL particles abolishes their ability to bind to the LDL receptor. When CSA is incubated with modified LDL much less is taken-up than when native LDL is incubated with CSA. Treatment of two human cell lines with CSA results in a dose-dependent decrease in LDL receptor mRNA levels. Using a novel transfection system involving the 5$\sp\prime$-flanking region of the LDL receptor gene, we have found that CSA decreases the number of transcripts, but is dependent on whether or not cholesterol is present and the stage of growth of the cells. ^

Characterization of the interactions between fibronectin and the Borrelia burgdorferi lipoprotein, BBK32

The findings presented in this dissertation detail the complex interaction between BBK32 and fibronectin and describe novel consequences of the interaction. BBK32 is a fibronectin-binding protein on Borrelia burgdorferi, the causative agent of Lyme disease. We found that BBK32 contains multiple fibronectin-binding motifs, recognizing the fibronectin N-terminal domain (NTD) and the gelatin binding domain (GBD) in an anti-parallel order, where corresponding sites in BBK32 and fibronectin are aligned so that there is a one-to-one interaction between the proteins. While characterizing this interaction, we discovered that binding of BBK32 to the GBD inhibits the migration stimulating factor's (MSF) motogenic activity. In the presence of BBK32, endothelial cells do not migrate in response to increasing concentrations of MSF or the GBD. MSF is found under wound healing conditions, and inhibition of its activity may allow the tick-transmitted spirochetes to delay wound healing and to establish an infection. ^ Biophysical structural studies, designed to identify a mechanism of interaction, revealed that BBK32 binding to the NTD leads to the unfolding of plasma fibronectin, which exposes α5β1 integrin recognition motifs. Binding assays demonstrate that the BBK32-NTD interaction enhances the plasma fibronectin-α5β1 integrin interaction, which may allow B. burgdorferi to invade host cells, and thereby evade the host immune system. ^ We also determined that BBK32 binds fibronectin F3 modules, which leads to plasma fibronectin aggregation and induction of superfibronectin. The resulting superfibronectin is conformationally distinct from plasma and cellular fibronectin, and can inhibit endothelial cell proliferation. BBK32's active superfibronectin-forming motif has been located to a region between residues 160 and 175, which contains two sequence motifs that are also found in anastellin, the only other known superfibronectin-inducing protein. ^ A potential consequence of BBK32-induced superfibronectin formation was identified. BBK32-induced superfibronectin formation results in the exposure of α4β1 integrin recognition sequences in fibronectin. The α4β1 integrin is required for leukocyte transendothelial cell migration. BBK32-induced superfibronectin inhibits this activity. The inhibition of leukocyte recruitment to the infection site may slow the activity of the host immune system, and permit the spirochetes to establish an infection. ^

A comparison of lipoprotein measurements from the Dallas Heart Study

Conventional cholesterol markers in clinical practice today may systematically underestimate the true atherosclerotic risk of populations with high prevalence of metabolic perturbations. It has been suggested that atherogenic risk indexes that measure the concentration of atherogenic particle concentration rather then cholesterol may improve the recognition of atherogenic risk in a clinical setting. Particle concentration is strongly correlated with cholesterol markers, but only a fair concordance with cholesterol has been seen in male populations with low prevalence of metabolic perturbations. Little is known about the concordance of particle concentration and cholesterol markers in multiethnic populations with high prevalence of metabolic perturbations including both men and women. Furthermore, no study has looked at atherosclerosis while exploring the concordance of particle concentration and cholesterol. NMR total atherogenic particle concentration (LipoScience, Inc.), Non-HDL-C, and coronary CT were performed on 3054 subjects ages 30-65 from the Dallas Heart Study, a multi-ethnic probability-based population study. Patients were stratified into four groups: subjects with a low Non-HDL-C and low particle concentration (n = 929), subjects with high Non-HDL-C and low particle concentration (n = 88), subjects with low Non-HDL-C and high particle concentration, and subjects with high Non-HDL-C and high particle concentration (n = 950). When discordance was defined as two quintiles or more of disagreement, discordant groups were relatively small (n= 389, 12.6% of population). There was no statistically significant difference in prevalence of coronary calcification for the group with high Non-HDL-C and low particle concentration compared to the group with low Non-HDL-C and low particle concentration. The discordant group with low Non-HDL-C and low particle concentration, which included 88 subjects, had the highest prevalence of coronary calcification out of the four groups. Out of the 3054 subjects tested in this study, 88 subjects were considered to be part of the discordant group with low Non-HDL-C and a high particle concentration. Although this group is relatively small and comprise approximately 3% of the total population, they did have the highest prevalence of coronary calcification.^

Identification of genes associated with quantitative traits involved in cardiovascular disease and lipoprotein metabolism

Cardiovascular disease (CVD) is a threat to public health. It has been reported to be the leading cause of death in United States. The invention of next generation sequencing (NGS) technology has revolutionized the biomedical research. To investigate NGS data of CVD related quantitative traits would contribute to address the unknown etiology and disease mechanism of CVD. NHLBI's Exome Sequencing Project (ESP) contains CVD related phenotypes and their associated NGS exomes sequence data. Initially, a subset of next generation sequencing data consisting of 13 CVD-related quantitative traits was investigated. Only 6 traits, systolic blood pressure (SBP), diastolic blood pressure (DBP), height, platelet counts, waist circumference, and weight, were analyzed by functional linear model (FLM) and 7 currently existing methods. FLM outperformed all currently existing methods by identifying the highest number of significant genes and had identified 96, 139, 756, 1162, 1106, and 298 genes associated with SBP, DBP, Height, Platelet, Waist, and Weight respectively. ^