Diss. (sammanfattning) Uppsala : Univ., 2001. / Härtill 4 uppsatser.

Diss. (sammanfattning) Stockholm : Karol. inst., 2001. / Härtill 4 uppsatser.

Diss. (sammanfattning) Stockholm : Karol. inst. / Härtill 6 uppsatser.

Fan Boli. / "January 2002." / Thesis (Ph.D.)--Chinese University of Hong Kong, 2002. / Includes bibliographical references (p. 219-248). / Electronic reproduction. Hong Kong : Chinese University of Hong Kong, [2012] System requirements: Adobe Acrobat Reader. Available via World Wide Web. / Electronic reproduction. Ann Arbor, MI : ProQuest Information and Learning Company, [200-] System requirements: Adobe Acrobat Reader. Available via World Wide Web. / Mode of access: World Wide Web. / Abstracts in English and Chinese.

O efeito anti-aterogênico da HDL foi sugerido ser devido, parcialmente, à ação da paraoxonase (PON) associada à HDL. Três SNPs em PON1 (L55M e Q192R) e PON2 (S311C) têm sido implicados como fatores de risco independentes para doença arterial coronariana (DAC) em alguns, mas não todos os estudos. O efeito destes três polimorfismos do gene PON na DAC e na concentração sérica de lipídios, apolipoproteínas A-I e B (apo A-I e apo B) foi investigado em 221 indivíduos sem vínculos genéticos. Os três polimorfismos genéticos (L55M, Q192R e S311C) do gene PON foram analisados por PCR-RFLP. Não houve diferença entre a distribuição genotípica e a freqüência relativa dos alelos dos polimorfismos L55M, Q192R e S311C do gene PON entre pacientes e controles. Não houve associação entre os polimorfismos da PON e a DAC na população estudada. As freqüências dos haplótipos dos pacientes foram similares às encontradas no grupo controle. O polimorfismo L55M do gene PON1 está associado com variações na concentração sérica de apo A-I dos pacientes. O polimorfismo S311C do gene PON2 não está associado com variações na concentração sérica de lipídios, apo A-I e apo B dos pacientes. / The anti-atherogtenic effect of the HDL has been suggested to be due, partially, to the action of the HDL-associated paroxonase(PON). Three SNPs in PON1 (L55M e Q192R) and PON2 (S311C) have been involved as independent risk factors for coronary artery disease (CAD), in some, but not all studies. The effect of these three polymorphisms of the PON gene on CAD and on the levei of lipids, apolipoproteins A-I e B (apo A1 and apo B) was investigated in 221 genetically unrelated individuais. The three gene polymorphismis (L55M, Q192R e S311C) of the PON gene were analyzed by PCR-RFLP. Is no significant difference between distribuition of genotype and allele frequencies of the L55M, Q192R and S311C polymorfisms of the PON gene between patient group and controls. Is no association between polymorphisms of the PON gene and CAD in the population studied. The frequencies of the haplotypes in the patients were similar to those found in the control group. The L55M polymorphism of the PON1 gene is associated with variations of the level of polipoprotein A-I at patients. The S311C polymorphism of the PON2 is not associated with variations of the level of lipids, apo A-I and apo B at patients.

目的：針對心血管初級預防，世界各國均推薦某一年齡段人群全部測量膽固醇以估算心血管病發病風險。此舉耗費高且非必須，本研究旨在建立並驗證一個新型的选择性膽固醇篩查模型，用以篩查需藥物治療之高危人群，并在成本效益方面與其它篩查模型相比較。 / 方法：本模型具體采用兩步法：首先利用一個足夠高的假設膽固醇值代入心血管病風險預測方程，用以系統性的高估絶大多數人的心血管病風險；其次只有假設心血管病風險高於推薦治療閾值時，該個體才需要測量膽固醇，並進行實際心血管病風險分析。 / 英国健康调查和中国营养与健康调查是本次研究的合适数据。我們首先探索最優的假設膽固醇值，尋找到最後膽固醇值之後，我們將繼續測試我們的新型膽固醇篩查模型，在不同的治療閾值下，表現是否穩定。我們以靈敏度，特異度和徐篩查人群為指標，比較我們模型與全民篩查模型和英國NICE 選擇篩查模型相比較。之後我們估算在中英人群中應用該篩查模型，所需耗費的成本和可預防心血管事件數。 / 结果：與全名篩查模型相比，我們的模型靈敏度相若但可以節省80%左右的篩查費用。模型的靈敏度主要取決於所採用的假設膽固醇值，與所用風險預測方程，治療閾值和人群心血管風險分佈無關。當以均數加2 倍標準差作為假設膽固醇值時，靈敏度可達到97.5%左右，特異度可以達到90%左右，符合預期。模型應用於中國人群得到的結果類似。值得註意的是，在中國人群中，即使不測量膽固醇，模型靈敏度亦接近95%。此外，將膽固醇篩查項目限制于男性50-84歲，女性60-84 歲年齡段可以進一步減少篩檢費用。在人群影響方面，我們模型可預防心血管事件數比全名篩查模型略少，但成本大大降低。英國NICE 模型適用於某些特定情況，但並非全部。 / 結論：我們的新型篩查模型靈敏度與全民篩查模型相若，但可以節省大量篩查費用。在资源匮乏地区，可考虑在某一特定年龄段运用我们的模型已达到进一步减少费用的效果。如果本研究结果得到进一步数据证实，對於中國人群而言，膽固醇測量可能並非心血管風險評估所必須。 / Objectives / Since the mid 1990s, most guidelines on primary prevention of cardiovascular disease (CVD) have recommended regular cholesterol measurement for all adults or those above a certain age (which is known as mass screening). Cholesterol measurement comprises a large cost of CVD prevention and is not necessarily required in those who do not need drug intervention. In order to reduce this cost, we have developed a new selective cholesterol screening model in order to determine whose cholesterol should be measured for drug prevention. The model was evaluated and compared with other widely adopted models in basic model performance as well as cost effectiveness. / Methods / The new model has two steps. In the first step, we purposely over-estimated the majority of respondents’ CVD risk by substituting a sufficiently high hypothetical cholesterol value in the risk estimation. We then recommend cholesterol measurement only to those with the estimated CVD risk above a predetermined risk threshold for drug treatment. In the second step, the CVD risk is re-estimated based on the individual’s real cholesterol consentration. Those with a risk above the treatment threshold are recommended for drug treatment. / We evaluated the performance of our two-step model with data from the Health Survey for England and re-evaluated it with data from the China Nutrition and Health Survey 2002. By varying the hypothetical cholesterol values and treatment thresholds in CVD risk, we assessed the sensitivity, specificity and proportion of the population who need to measure cholesterol and compared it with the US mass screening model and the UK NICE selective screening model. We further compared the costs and CVD events avoided in the compared screening programmes. We also examined how the age restriction should be set in cholesterol screening programmes. / Results / As compared to mass screening, our new model can achieve a high sensitivity and save some 80% the cost of cholesterol measurements. The sensitivity depends mainly on the hypothetical cholesterol level used and seems independent of population’s CVD risk, treatment cut-off values and risk prediction model. The model performed well in almost all the conditions tested. When the hypothetical cholesterol was set at MEAN+2SD, the resulting sensitivity of our selective screening model was almost always above 95% and close to the expected 97.5%. The sensitivity was only compromised slightly if cholesterol is not measured at all for the Chinese population. Furthermore, in order to save more costs, cholesterol measurement could be better restricted to men aged 50-84 and women 60-84 years regardless of the screening model used. In CVD events prevented, mass screening is always the best but our model can prevent almost as many. In costs, mass screening is always the most expensive but our model can save all or most of the cost. The NICE selective model can perform as well as our model only when it is used in an appropriate manner and in certain circumstances. / Conclusion / Our new cholesterol screening model has a high sensitivity which is comparable to that of universal screening programs but can save most of the cost on cholesterol measurements. In where resources are particular sparse, our model can also perform well by applying it only to certain age groups, which will further save cholesterol measurement costs. Cholesterol measurement could even be completely avoided for the Chinese population if our findings can be re-confirmed correct with more updated data. / Detailed summary in vernacular field only. / Detailed summary in vernacular field only. / Detailed summary in vernacular field only. / Detailed summary in vernacular field only. / Detailed summary in vernacular field only. / Hu, Xuefeng. / Thesis (Ph.D.)--Chinese University of Hong Kong, 2012. / Includes bibliographical references (leaves 114-121). / Abstract also in Chinese. / Abstract (in English) --- p.i / Abstract (in Chinese) --- p.iv / Acknowledgements --- p.vi / Abbreviations used in the thesis --- p.viii / List of Tables --- p.xvi / List of Figures --- p.xviii / List of Boxes --- p.xix / Chapter 1. --- Introduction --- p.1 / Chapter 1.1 --- The burden of cardiovascular disease --- p.1 / Chapter 1.2 --- Primary prevention of CVD --- p.2 / Chapter 1.3 --- The high-risk individual strategy for CVD primary prevention --- p.3 / Chapter 1.3.1 --- The high risk individual strategy is effective --- p.4 / Chapter 1.3.2 --- The high risk individual strategy is cost-effective --- p.4 / Chapter 1.4 --- Who should be treated with drugs? --- p.5 / Chapter 1.4.1 --- The single risk factor strategy --- p.5 / Chapter 1.4.2 --- The overall CVD risk strategy --- p.7 / Chapter 1.4.3 --- Scope of CVD primary prevention --- p.8 / Chapter 1.5 --- Methods for assessing the CVD risk --- p.9 / Chapter 1.6 --- Current strategies for cholesterol measurements --- p.10 / Chapter 1.6.1 --- United States National Cholesterol Education Program --- p.13 / Chapter 1.6.2 --- American Heart Association CVD and Stroke prevention guideline --- p.14 / Chapter 1.6.3 --- The U.S. Preventive Services Task Force guideline --- p.15 / Chapter 1.6.4 --- New Zealand guideline 2003 --- p.16 / Chapter 1.6.5 --- Australian guideline 2009 --- p.17 / Chapter 1.6.6 --- The Joint British Society guideline-2 --- p.17 / Chapter 1.6.7 --- UK Department of Health guideline on vascular check --- p.18 / Chapter 1.6.8 --- China Blood Lipid Modification Guideline 2007 --- p.18 / Chapter 1.6.9 --- Summary of the reviewed guidelines --- p.19 / Chapter 1.7 --- Rationale for a selective screening model --- p.20 / Chapter 1.8 --- The UK NICE model --- p.22 / Chapter 1.9 --- Objectives of this study --- p.24 / Chapter 2 --- Methods --- p.25 / Chapter 2.1 --- The new cholesterol screening model --- p.25 / Chapter 2.2 --- Framework for evaluating the new screening model --- p.27 / Chapter 2.3 --- Indexes for evaluating the basic performance of screening models --- p.28 / Chapter 2.3.1 --- Sensitivity, specificity and % need cholesterol measurement --- p.28 / Chapter 2.3.2 --- Sensitivity analysis for model performance --- p.29 / Chapter 2.3.2.1 --- Using different hypothetical cholesterol values --- p.29 / Chapter 2.3.2.2 --- Using different treatment cut-off thresholds --- p.30 / Chapter 2.3.2.3 --- Using different populations --- p.30 / Chapter 2.3.2.4 --- Using different risk equations --- p.31 / Chapter 2.4 --- Data --- p.31 / Chapter 2.4.1 --- The Health Survey for England --- p.31 / Chapter 2.4.1.1 --- Background and aim of the survey --- p.31 / Chapter 2.4.1.2 --- Survey design --- p.32 / Chapter 2.4.1.2.1 --- Sampling Frame --- p.32 / Chapter 2.4.1.2.2 --- Weighting variables --- p.33 / Chapter 2.4.1.3 --- Data collection --- p.33 / Chapter 2.4.1.3.1 --- Blood cholesterol --- p.34 / Chapter 2.4.1.3.2 --- Blood pressure --- p.34 / Chapter 2.4.1.3.3 --- Smoking --- p.34 / Chapter 2.4.1.3.4 --- History of CVD and diabetes --- p.34 / Chapter 2.4.1.3.5 --- Treatment history --- p.35 / Chapter 2.4.2 --- The 2002 China National Nutrition and Health Survey --- p.35 / Chapter 2.4.2.1 --- Survey design --- p.36 / Chapter 2.4.2.2 --- Data collection --- p.36 / Chapter 2.4.2.2.1 --- Blood pressure --- p.36 / Chapter 2.4.2.2.2 --- Blood cholesterol --- p.38 / Chapter 2.4.2.2.3 --- Smoking --- p.38 / Chapter 2.4.2.2.4 --- History of CVD, diabetes and drug treatment --- p.38 / Chapter 2.4.3 --- Subjects eligible for analysis in this study --- p.38 / Chapter 2.5 --- CVD risk prediction --- p.43 / Chapter 2.5.1 --- The Framingham risk equation for the UK population --- p.43 / Chapter 2.5.2 --- The Asian equation for the Chinese population --- p.44 / Chapter 2.5.3 --- Adjusting for cholesterol and blood pressure --- p.45 / Chapter 2.5.4 --- Deriving the hypothetical cholesterol --- p.46 / Chapter 2.6 --- Identifying the appropriate age ranges for cholesterol measurement --- p.47 / Chapter 2.7 --- Comparing various screening models and options --- p.47 / Chapter 2.7.1 --- Compared screening models and options --- p.47 / Chapter 2.7.1 --- Indices for the performance of the screening options --- p.49 / Chapter 2.7.2 --- Costs of different screening options --- p.50 / Chapter 2.7.2.1 --- Components of screening cost from societal perspective --- p.50 / Chapter 2.7.2.1.1 --- Cost for inviting people for data collection --- p.50 / Chapter 2.7.2.1.2 --- Cost for the full risk assessment --- p.51 / Chapter 2.7.2.1.3 --- Treatment cost --- p.51 / Chapter 2.7.2.1.4 --- Cost saved for avoided CVD events --- p.52 / Chapter 2.7.2.2 --- Components of screening cost from health system’s perspective --- p.52 / Chapter 2.7.3 --- Number of CVD events avoidable --- p.53 / Chapter 2.8 --- Statistical analysis --- p.54 / Chapter 2.8.1 --- Descriptive analysis --- p.54 / Chapter 2.8.2 --- Cross-tabulation analysis --- p.54 / Chapter 2.8.3 --- Survey data analysis --- p.54 / Chapter 3 --- Results --- p.57 / Chapter 3.1 --- Description of data --- p.57 / Chapter 3.1.1 --- The UK population --- p.57 / Chapter 3.1.1.1 --- Sumamry of CVD risk and risk factors --- p.57 / Chapter 3.1.1.2 --- Distribution of age --- p.57 / Chapter 3.1.1.3 --- Distribution of blood pressure and blood cholesterol --- p.58 / Chapter 3.1.1.4 --- Distribution of the predicted 10-year CVD risk --- p.62 / Chapter 3.1.1.5 --- Relation between the risk threshold and age --- p.63 / Chapter 3.1.2 --- The Chinese population --- p.65 / Chapter 3.1.2.1 --- Summary of CVD risk and risk factors --- p.65 / Chapter 3.1.2.2 --- Distribution of age --- p.65 / Chapter 3.1.2.3 --- Distribution of blood pressure and blood cholesterol --- p.66 / Chapter 3.1.2.4 --- Distribution of the predicted 10-year CVD risk --- p.69 / Chapter 3.1.2.5 --- Relation between the risk threshold and age --- p.70 / Chapter 3.2 --- Performance of our new screening model --- p.72 / Chapter 3.2.1 --- Performance according to cholesterol values in the UK population --- p.72 / Chapter 3.2.2 --- Performance according to treatment cut-offs in the UK population --- p.73 / Chapter 3.2.3 --- Performance according to cholesterol values in the Chinese population --- p.73 / Chapter 3.2.4 --- Performance according to the risk cut-offs in the Chinese population --- p.74 / Chapter 3.2.4 --- Performance using different risk equations --- p.76 / Chapter 3.3 --- Comparison with other existing screening models --- p.77 / Chapter 3.3.1 --- Performance of the 3 models within an age-restricted UK population --- p.79 / Chapter 3.3.2 --- Performance of the 3 models within an age-restricted Chinese population --- p.81 / Chapter 3.3.3 --- Performance of the 3 models in the entire UK population --- p.83 / Chapter 3.3.4 --- Performance of the 3 models in the entire Chinese population --- p.84 / Chapter 3.3.5 --- Costs of various screening options --- p.87 / Chapter 3.3.6 --- Number of CVD events avoidable of the screening programmes --- p.92 / Chapter 4 --- Discussion --- p.96 / Chapter 4.1.1 --- Performance at different hypothetical cholesterol values --- p.96 / Chapter 4.1.2 --- Performance at various treatment cut-off thresholds --- p.97 / Chapter 4.1.3 --- Performance with different risk equations --- p.98 / Chapter 4.1.4 --- Performance in different populations --- p.99 / Chapter 4.1.5 --- Performance with different survival functions --- p.99 / Chapter 4.2 --- Further modifications of the model --- p.100 / Chapter 4.2.1 --- A model without any cholesterol measurement --- p.100 / Chapter 4.2.2 --- Age restriction for selective models --- p.102 / Chapter 4.2.3 --- Our model with potential personalized treatment cut-off --- p.103 / Chapter 4.2.4 --- Three key things to ensure model performance in other population --- p.104 / Chapter 4.3 --- CVD events preventable --- p.105 / Chapter 4.3.1 --- Importance of age restriction --- p.105 / Chapter 4.3.2 --- Limitations of the NICE model --- p.106 / Chapter 4.4 --- Costs of different screening models --- p.107 / Chapter 4.4.1 --- Cost from different perspectives --- p.107 / Chapter 4.4.2 --- Cholesterol measurement cost and routine data collection --- p.108 / Chapter 4.4.3 --- Cost components --- p.109 / Chapter 4.4.4 --- Ways to reduce cholesterol measurement costs --- p.109 / Chapter 4.4.5 --- Costs and gain of the missing 2.5% high risk individuals --- p.109 / Chapter 4.5 --- Strengths and limitations of this study --- p.110 / Chapter 4.6 --- Recommendations --- p.113 / References --- p.114

O efeito anti-aterogênico da HDL foi sugerido ser devido, parcialmente, à ação da paraoxonase (PON) associada à HDL. Três SNPs em PON1 (L55M e Q192R) e PON2 (S311C) têm sido implicados como fatores de risco independentes para doença arterial coronariana (DAC) em alguns, mas não todos os estudos. O efeito destes três polimorfismos do gene PON na DAC e na concentração sérica de lipídios, apolipoproteínas A-I e B (apo A-I e apo B) foi investigado em 221 indivíduos sem vínculos genéticos. Os três polimorfismos genéticos (L55M, Q192R e S311C) do gene PON foram analisados por PCR-RFLP. Não houve diferença entre a distribuição genotípica e a freqüência relativa dos alelos dos polimorfismos L55M, Q192R e S311C do gene PON entre pacientes e controles. Não houve associação entre os polimorfismos da PON e a DAC na população estudada. As freqüências dos haplótipos dos pacientes foram similares às encontradas no grupo controle. O polimorfismo L55M do gene PON1 está associado com variações na concentração sérica de apo A-I dos pacientes. O polimorfismo S311C do gene PON2 não está associado com variações na concentração sérica de lipídios, apo A-I e apo B dos pacientes. / The anti-atherogtenic effect of the HDL has been suggested to be due, partially, to the action of the HDL-associated paroxonase(PON). Three SNPs in PON1 (L55M e Q192R) and PON2 (S311C) have been involved as independent risk factors for coronary artery disease (CAD), in some, but not all studies. The effect of these three polymorphisms of the PON gene on CAD and on the levei of lipids, apolipoproteins A-I e B (apo A1 and apo B) was investigated in 221 genetically unrelated individuais. The three gene polymorphismis (L55M, Q192R e S311C) of the PON gene were analyzed by PCR-RFLP. Is no significant difference between distribuition of genotype and allele frequencies of the L55M, Q192R and S311C polymorfisms of the PON gene between patient group and controls. Is no association between polymorphisms of the PON gene and CAD in the population studied. The frequencies of the haplotypes in the patients were similar to those found in the control group. The L55M polymorphism of the PON1 gene is associated with variations of the level of polipoprotein A-I at patients. The S311C polymorphism of the PON2 is not associated with variations of the level of lipids, apo A-I and apo B at patients.

Paget's disease of the bone is characterized by a focal increase in the rate of bone turnover, which goes through phases of activity and quiescence. Most patients are asymptomatic. The two cardinal features are pain and deformities, and many complications may arise. Diphosphonates and calcitonin are the main therapeutic modalities.

Ng Chi Ho. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2005. / Includes bibliographical references (leaves 147-160). / Abstracts in English and Chinese. / ACKNOWLEDGMENTS --- p.I / ABSTRACT --- p.II / LIST OF ABBREVIATIONS --- p.VII / TABLE OF CONTENTS --- p.IX / Chapter CHAPTER 1 --- GENERAL INTRODUCTION / Chapter 1.1 --- Introduction of Low-density lipoprotein --- p.1 / Chapter 1.1.1 --- What are lipids? --- p.1 / Chapter 1.1.2 --- Function and structure of cholesterol --- p.1 / Chapter 1.1.3 --- Function and classification of lipoprotein --- p.1 / Chapter 1.2 --- Functions of low-density lipoprotein --- p.2 / Chapter 1.3 --- Basic structure of low-density lipoprotein --- p.4 / Chapter 1.4 --- Principle on isolation and purification of low-density lipoprotein --- p.4 / Chapter 1.5 --- Cholesterol transport system --- p.7 / Chapter 1.5.1 --- Exogenous pathway of cholesterol metabolism --- p.7 / Chapter 1.5.2 --- Endogenous pathway of cholesterol metabolism --- p.7 / Chapter 1.5.3 --- Reverse transport of Cholesterol --- p.8 / Chapter 1.6 --- Oxidation of LDL --- p.10 / Chapter 1.6.1 --- Agents that causes oxidation --- p.10 / Chapter 1.6.1.1 --- Lipoxygenases --- p.10 / Chapter 1.6.1.2 --- Myeloperoxidase --- p.10 / Chapter 1.6.1.3 --- Reactive nitrogen species --- p.11 / Chapter 1.6.1.4 --- Reactive oxygen species --- p.11 / Chapter 1.6.2 --- Factors that affect the susceptibility of LDL oxidation --- p.13 / Chapter 1.7 --- Hyperlipidaemia 一 chance to increase LDL oxidation --- p.13 / Chapter 1.7.1 --- Definition of hyperlipidemia and hypercholesterolemia --- p.13 / Chapter 1.7.2 --- Risk factors of hyperlipidaemia --- p.13 / Chapter 1.7.2.1 --- High fat low fibre diets: --- p.13 / Chapter 1.7.2.2 --- Obesity --- p.14 / Chapter 1.7.2.3 --- Type II diabetes --- p.14 / Chapter 1.7.2.4 --- Genetic factors (Familial hyperlipidemias) --- p.14 / Chapter 1.8 --- Diseases related to oxidized LDL --- p.15 / Chapter 1.8.1 --- Cardiovascular diseases --- p.15 / Chapter 1.8.1.1 --- Atherosclerosis and ischemic heart attack --- p.15 / Chapter 1.8.1.2 --- Factors that affect incidence of atherosclerosis --- p.16 / Chapter 1.8.1.2.1 --- Triglyceride-rich lipoprotein --- p.16 / Chapter 1.8.1.2.2 --- Small and dense LDL --- p.16 / Chapter 1.8.1.3 --- Stroke --- p.17 / Chapter 1.8.2 --- Common ways to reduce plasma cholesterol level --- p.17 / Chapter 1.8.2.1 --- Diet control --- p.17 / Chapter 1.8.2.2 --- Physical activity --- p.17 / Chapter 1.8.2.3 --- Drug therapy --- p.18 / Chapter CHAPTER 2 --- IMPAIRMENT OF OXIDIZED LDL ON ENDOTHELIUM-DEPENDENT RELAXATION / Chapter 2.1 --- Introduction --- p.19 / Chapter 2.1.1 --- Properties and function of phenylephrine hydrochloride --- p.22 / Chapter 2.1.2 --- Properties and function of acetylcholine --- p.22 / Chapter 2.2 --- Objectives --- p.23 / Chapter 2.3 --- Materials and methods --- p.24 / Chapter 2.3.1 --- Preparation of drugs --- p.24 / Chapter 2.3.2 --- Preparation of human native LDL --- p.25 / Chapter 2.3.3 --- Preparation of oxidized LDL --- p.27 / Chapter 2.3.4 --- Preparation of aorta --- p.27 / Chapter 2.3.5 --- Measurement of Isometric Force in vitro --- p.30 / Chapter 2.3.5.1 --- Protocol 1- Dose effect of oxidized LDL on acetylcholine-induced vasorelaxation --- p.30 / Chapter 2.3.5.2 --- Protocol 2 - Time effect of oxidized LDL on acetylcholine-induced vasorelaxation --- p.30 / Chapter 2.3.5.3 --- Protocol 3 - Effect of co-incubation of LDL and copper(ll) sulphate on acetylcholine-induced vasorelaxation --- p.31 / Chapter 2.3.5.4 --- Protocol 4 - Effect of oxidized LDL on selected vasodilators --- p.32 / Chapter 2.3.5.5 --- Protocol 5 - Effect of pretreatment of L-arginine on oxidized LDL impaired -endothelium-induced relaxation --- p.32 / Chapter 2.3.5.6 --- Protocol 6 - Effect of a -tocopherol on oxidized LDL-damaged acetylcholine- induced vasorelaxation --- p.33 / Chapter 2.3.5.7 --- Protocol 7 - Effect of a -tocopherol on LDL and copper(ll) sulphate- induced endothelial dysfunction --- p.33 / Chapter 2.3.6 --- Western blot analysis of endothelial nitric oxide synthase (eNOS) protein --- p.34 / Chapter 2.3.7 --- Statistics --- p.35 / Chapter 2.4 --- Results --- p.36 / Chapter 2.4.1 --- Dose effect of oxidized LDL on acetylcholine-induced vasorelaxation --- p.36 / Chapter 2.4.2 --- Time effect of oxidized LDL on acetylcholine-induced vasorelaxation --- p.36 / Chapter 2.4.3 --- Effect of co-incubation of LDL and copper(II) sulphate on acetylcholine- induced vasorelaxation --- p.39 / Chapter 2.4.4 --- Effect of oxidized LDL on selected vasodilators --- p.41 / Chapter 2.4.5 --- Effect of pretreatment of L-arginine on oxidized LDL impaired- acetylcholine-induced relaxation --- p.41 / Chapter 2.4.6 --- Effect of a-tocopherol on oxidized LDL-damaged acetylcholine- induced vasorelaxation --- p.48 / Chapter 2.4.7 --- Effect of a-tocopherol on LDL and copper(II) sulphate-induced endothelial dysfunction --- p.50 / Chapter 2.4.8 --- eNOS Protein expression --- p.50 / Chapter 2.5 --- Discussion --- p.53 / Chapter CHAPTER 3 --- EFFECTS OF LDL INJECTION ON THE ENDOTHELIAL FUNCTION OF RATS / Chapter 3.1 --- Introduction --- p.58 / Chapter 3.2 --- Objective --- p.60 / Chapter 3.3 --- Methods and Materials --- p.61 / Chapter 3.3.1 --- Preparation of Drugs --- p.61 / Chapter 3.3.2 --- Preparation of LDL --- p.61 / Chapter 3.3.3 --- Animal Treatment --- p.61 / Chapter 3.3.4 --- Serum lipid and lipoprotein determinations --- p.62 / Chapter 3.3.5 --- Measurement of serum MDA level by TBARS assay --- p.62 / Chapter 3.3.6 --- Preparation of aorta --- p.62 / Chapter 3.3.7 --- Organ bath experiment --- p.63 / Chapter 3.3.8 --- Statistics --- p.64 / Chapter 3.4 --- Result --- p.65 / Chapter 3.4.1 --- Growth and food intake --- p.65 / Chapter 3.4.2 --- "Effect of LDL injection on serum TC, TG and HDL-C" --- p.65 / Chapter 3.4.3 --- Effect of LDL injection on non-HDL-C and ratio of non-HDL-C to HDL-C --- p.65 / Chapter 3.4.4 --- Serum MDA level --- p.68 / Chapter 3.4.5 --- Phenylephrine-induced contraction --- p.70 / Chapter 3.4.6 --- Endothelium-dependent and -independent relaxation --- p.75 / Chapter 3.5 --- Discussion --- p.79 / Chapter CHAPTER 4 --- EFFECTS OF INDIVIDUAL COMPONENT OF OXIDIZED LDL ON ENDOTHELIUM-DEPENDENT RELAXATION / Chapter 4.1 --- Introduction --- p.83 / Chapter 4.2 --- Objectives --- p.85 / Chapter 4.3 --- Materials and methods --- p.86 / Chapter 4.3.1 --- Preparation of drugs --- p.86 / Chapter 4.3.2 --- Preparation of human native LDL and oxidized LDL --- p.86 / Chapter 4.3.3 --- GC analysis of fatty acid composition in LDL --- p.86 / Chapter 4.3.4 --- TBARS assay analysis of MDA content in LDL --- p.87 / Chapter 4.3.5 --- GC analysis of cholesterol oxidation products in LDL --- p.89 / Chapter 4.3.6 --- Thin-layer chromatography analysis of LPC in LDL --- p.91 / Chapter 4.3.7 --- Preparation of aorta --- p.92 / Chapter 4.3.8 --- Measurement of Isometric Force in vitro --- p.92 / Chapter 4.3.8.1 --- Protocol 1- effect of LPC on acetylcholine-induced vasorelaxation --- p.92 / Chapter 4.3.8.2 --- Protocol 2- effect of cholesterol oxidation products on acetylcholine-induced vasorelaxation --- p.92 / Chapter 4.3.8.3 --- Protocol 3- effect of oxidized fatty acids on acetylcholine-induced vasorelaxation --- p.93 / Chapter 4.3.9 --- Statistics --- p.93 / Chapter 4.4 --- Results --- p.94 / Chapter 4.4.1 --- Compositional differences between native LDL and oxidized LDL.… --- p.94 / Chapter 4.4.2 --- Effect of LPC on endothelium-dependent relaxation --- p.98 / Chapter 4.4.3 --- Effect of COPs on endothelium-dependent relaxation --- p.98 / Chapter 4.4.4 --- Effect of oxidized fatty acids on endothelium-dependent relaxation --- p.101 / Chapter 4.5 --- Discussion --- p.103 / Chapter CHAPTER 5 --- EFFECTS OF DIETARY OXIDIZED CHOLESTEROL ON BLOOD CHOLESTEROL LEVEL IN HAMSTERS / Chapter 5.1 --- Introduction --- p.107 / Chapter 5.2 --- Objectives --- p.111 / Chapter 5.3 --- Materials and Methods --- p.112 / Chapter 5.3.1 --- Preparation of Oxidized Cholesterol --- p.112 / Chapter 5.3.2 --- Diet preparation --- p.112 / Chapter 5.3.3 --- Animals --- p.113 / Chapter 5.3.4 --- Serum lipid and lipoprotein determinations --- p.116 / Chapter 5.3.5 --- GC analysis of cholesterol and cholesterol oxidation products on organs --- p.116 / Chapter 5.3.6 --- Extraction of neutral and acidic sterols from fecal samples --- p.117 / Chapter 5.3.6.1 --- Determination of neutral sterols --- p.117 / Chapter 5.3.6.2 --- Determination of acidic sterols --- p.117 / Chapter 5.3.6.3 --- GLC analysis of neutral and acidic sterols --- p.118 / Chapter 5.3.7 --- Organ bath experiment --- p.121 / Chapter 5.3.7.1 --- Preparation of aorta --- p.121 / Chapter 5.3.7.2 --- Aortic relaxation --- p.121 / Chapter 5.3.8 --- Analysis of the total area of atherosclerotic plaque on aorta --- p.122 / Chapter 5.3.9 --- Statistics --- p.122 / Chapter 5.4 --- Results --- p.123 / Chapter 5.4.1 --- GC of oxidized cholesterol --- p.123 / Chapter 5.4.2 --- Growth and food intake --- p.123 / Chapter 5.4.3 --- "Effect of non-oxidized and oxidized cholesterol on serum TC, TG and HDL-C" --- p.123 / Chapter 5.4.4 --- Effect of non-oxidized and oxidized cholesterol on non-HDL-C and ratio of non-HDL-C to HDL-C --- p.124 / Chapter 5.4.5 --- Effect ofnon-oxidized and oxidized cholesterol on concentration of hepatic cholesterol --- p.128 / Chapter 5.4.6 --- Effect of non-oxidized and oxidized cholesterol on concentration of cholesterol oxidation products accumulated in liver --- p.128 / Chapter 5.4.7 --- Effect of non-oxidized and oxidized cholesterol on concentration of brain and aortic cholesterol --- p.128 / Chapter 5.4.8 --- Effect of non-oxidized and oxidized cholesterol on fecal neutral and acidic sterols --- p.129 / Chapter 5.4.9 --- Effect of non-oxidized and oxidized cholesterol on aortic relaxation --- p.135 / Chapter 5.4.10 --- Effect of non-oxidzied and oxidized cholesterol on area of atherosclerotic plaque --- p.137 / Chapter 5.5 --- Discussion --- p.139 / Chapter CHAPTER 6 --- CONCLUSION --- p.143 / REFERENCES --- p.146

Indiana University-Purdue University Indianapolis (IUPUI) / The impact of tobacco smoking on human health is well documented. The influence of smoking on tooth loss and cardiovascular diseases was investigated in the current study via both epidemiology and in vitro studies. From analyzing the 2006 Behavioral Risk Factor Surveillance System (2006 BRFSS) database, we confirmed that smoking was significantly associated with the number of teeth lost in a dose-dependent manner and smoking cessation reduced the risk when compared to those subjects continuing to smoke. In addition, the virulence factors related to caries were compared between Streptococcus mutans and Streptococcus gordonii in response to cigarette smoking condensate (CSC) treatment. We observed that S. gordonii was more susceptible to CSC treatment than S. mutans. CSC significantly enhanced S. mutans sucrose-dependent and independent adherence. Western blot assays revealed that several bacterial surface proteins including glucosyltransferase (GTF), glucan-binding proteins and antigen I/II, were significantly upregulated for the treated S. mutans. These findings suggested that the oral environment with CSC may favor a cariogenic dominant composition, which may increase the risk for smokers to develop caries. We also found that smoking and oral health status modified each other and synergistically increased the risk of CVD and this joint effect was more pronounced among the youngest age group using the 2006 BRFSS database. To further understand the joint effect, we conducted an in vitro study to investigate bacterial attachment to fibronectin and endothelial cells in response to smoking condensate treatment. Our study clearly demonstrated CSC significantly enhanced S. mutans attachment to both soluble and immobilized fibronectin as well as endothelial cells. Furthermore, our data suggested that bacteria possessed several adhesins that bound to host tissues and endothelial cells also had multiple receptors for bacterial attachment. Among these adhesins, antigen I/II seemed essential for bacterial attachment to endothelial cells without CSC. The knowledge of bacterial attachment to host tissues in the presence of CSC may help in developing different preventive or therapeutic strategies against attachment and colonization of the host by S. mutans.