Cape 1 Lea Anne Cape Dr. Guenzel ENC 1102-0123 March 24, 2014 Research Dossier: Technology and Cardiovascular Disease Dossier Introduction Researching cardiovascular disease and technology has led me to find new evidence in my investigation of the effects technology has on the treatment and prevention of cardiovascular disease. Cardiovascular disease is the number one leading cause of death in the United States. It does not abide by gender or age; it affects whomever it chooses. Scientists have been looking into numerous ways to prevent a person from having the disease. They have studied eating habits such as non-fatty diets and fasting. Scientists have also looked into markers or signs that a person is at risk for cardiovascular disease. The markers include: total cholesterol, low-density lipoprotein cholesterol, and hemoglobin. These are measured and kept an eye on by a physician. If you seem to be at risk for cardiovascular disease they will inform you. However, just because you are at risk does not mean you are going to have it. The markers can give false information depending on what method was used during the testing, such as blood testing. Treatment of cardiovascular disease comes many different ways. The most popular are surgery and a healthy diet. Cardiovascular surgery is risky however and many scientists are looking for other possible cures. Some scientists have found that there is a link between Creactive proteins and cardiovascular disease. Others have shown that cardiovascular disease could be linked to too much vitamin D. But how will we know what is too much? We have to improve technology until we can find the answer we are looking for. Cape 2 Research Map Research Questions: What technology is being used in the medical field today to help prevent cardiovascular disease? Has this technology improved medical care in reference to cardiovascular disease? Is there technology that can predict the likelihood of a patient having cardiovascular disease? Keywords/Phrases: Cardiovascular disease prevention Advances in cardiovascular disease Cardiovascular disease Cardiovascular disease markers Cardiovascular biology Types of research: Scholarly books/journals, medical magazines, web sources and internet articles Time management: Sunday Monday February 2014 Tuesday Wednesday Thursday Friday Saturday 1 2 3 4 5 6 7 8 Research Map TBA Library Study Course 9 10 11 12 13 14 15 Psych quiz 4 Research Research Research Research Research Study & virtual Cape 3 child 3 16 17 18 19 20 21 22 Psych quiz 5 Study Study Digital Paper Study Comparing Study & Virtual trail APA/MLA child 4 & 5 Study Study Study 23 24 25 26 27 28 Psych quiz 6 Annotated Study Revision of Research Research & 7 & VC 6 Bibliography Peer review research &7 Draft proposal Psych Exam Final Draft 2 Research Chem Exam dossier 2 Stats Exam 2 Thursday Friday March 2014 Sunday Monday Tuesday Wednesday Saturday 1 Draft 2 3 4 5 6 7 8 Spring Break Spring Break Spring Break Spring Break Spring Break Spring Break Draft 9 10 11 12 13 14 15 Draft Draft Draft Draft Peer-review/ Rhetorical Study Conference? Analysis Draft Draft 16 17 18 19 20 21 22 Psych quiz 8 Work on Draft Work on Final Draft Rhetorical Study Cape 4 & 9 & VC 8 Final &9 Peer-review/ Analysis Conference? paper Peer-review/ Conference? 23 24 25 26 27 28 29 Psych quiz Study Study Public Service Study Chem Exam 3 Study 10 &11 & Announcement VC 10 & 11 Psych Exam 3 30 31 Study Research Draft paper draft 1 Draft Stats Exam 3 April 2014 Sunday 6 Monday 7 Psych quiz 12 Draft Tuesday Wednesday Thursday Friday Saturday 1 2 3 4 5 Peer-review/ Draft Peer-review/ Draft Study conference? conference Draft Draft 8 9 10 11 12 Draft Research Draft Research Study & 13 13 paper draft 2 14 Psych quiz 14 Study paper draft 3 15 16 17 18 19 Study Reflection Study Chem Exam 4 Study Draft draft Research paper final draft E-portfolio draft Cape 5 20 21 Psych quiz 15 Extra Credit 22 23 TBA E-portfolios 29 30 opportunity 27 28 24 25 26 Cape 6 Annotated Bibliography Cupples, L., Arruda, H. T., Benjamin, E. J., D'Agostino, S. B., Demissie, S., DeStefano, A. L., & ... Chun-Yu, L. (2007). The Framingham Heart Study 100K SNP genome-wide association study resource: overview of 17 phenotype working group reports. BMC Medical Genetics, 8S1-19. doi:10.1186/1471-2350-8-S1-S1 http://ezproxy.net.ucf.edu/login?url=http://search.ebscohost.com/login.aspx?direct=true& db=aph&AN=28682328&site=ehost-live This article discusses the background of cardiovascular disease. This is a study that tests five different methods of detecting cardiovascular disease. L. Adrienne Cupples, Ph.D. is Professor of Biostatistics and of Epidemiology. She has a long standing interest in statistical methods for epidemiologic studies, for survival data analysis and for genetic epidemiology. She has taught for thirty years at both the introductory and advanced levels. She developed several of the courses in the Biostatistics curriculum, including Statistical Methods for Epidemiology (BS852) and has received numerous teaching awards, including the Norman A Scotch Award for Excellence in Teaching at the School of Public Health. For her efforts in research she received the BUSPH Faculty Career Award in Research & Scholarship as the First Recipient. And she received the Janet L. Norwood Award for Outstanding Achievement by a Woman in the Statistical Sciences as the ninth recipient in 2010. She has collaborated in the Framingham Heart Study for more than 25 years on a variety of topics from risk factors for sudden death, nutritional epidemiology and most recently the genetic etiology of cardiovascular disease and its risk factors. She is a member of the Framingham Genetics Steering Committee. She has a long history with the study of the genetic etiology of Alzheimer’s disease in the MIRAGE Study (Multi-Institutional Research of Alzheimer’s Genetic Epidemiology) and of Huntington disease. She has been actively involved in genetic risk prediction and evaluation of how people interpret and Cape 7 respond to such predictions, particularly in the context of Alzheimer’s disease through the REVEAL (Risk Evaluation and Education for Alzheimer’s Disease) Study. Chien, K.R. (1993). Molecular advances in cardiovascular biology. Science Magazine, 260(5110), 916-917. Doi: 10.1126/science.8493528 http://www.sciencemag.org/content/260/5110/916.short A marker for CVD is Chaga’s disease. “Overall, the results from the present study begin to challenge the concept that cardiomyocyte hypertrophy in Chagas' disease is restricted to a late stage of T. cruzi infection, following chronic inflammation and myocardial damage. Instead, we provide evidence that IL-1β-mediated cardiomyocyte hypertrophy occurs in isolated cardiomyocytes in response to T. cruzi and may play an important role in the maintenance of cardiomyocyte function during the initial phases of infection. IL-1β is produced by other myocardial cells, including vascular endothelial cells, following T. cruzi infection (22), indicating that local secretion of IL-1β could promote cardiomyocyte hypertrophy regardless of the site of initial site of parasite invasion. Our novel findings provide the basis for further investigation of the role of IL-1β-mediated cardiomyocyte hypertrophy in acute Chagas' disease.” Christine Petersen, DVM, Ph.D. is the Associate Professor of the Department of Epidemiology at College of Public Health. Mann, D. Heart Disease Detection Goes High Tech. WebMD. Feburary 19, 2014, http://www.webmd.com/heart-disease/features/heart-disease-detection-goes-high-tech CVD affects mostly males over the age of sixty-five. Blood tests can be used to find markers. The doctors look for an inflammatory marker in the blood. The marker is Creactive protein is associated with increased risk for CVD. Denise Mann is a freelance health writer in New York. Her articles regularly appear in WebMD, health.com, cnn.com, Arthritis Today magazine, American Profile magazine and special sections of the Wall Street Journal. She is also the editorial director for several plastic surgery portals including the Consumer Guide to Plastic Surgery. Before joining WebMD, Mann worked for the Medical Tribune News Service for three years. Cape 8 Her articles appeared regularly in such newspapers as the Detroit Free Press, the Chicago Sun-Times, the Dallas Morning News, and the Los Angeles Daily News. She received a graduate degree from the Medill School of Journalism at Northwestern University in Evanston, Ill., and her undergraduate degree from Lehigh University in Bethlehem, Pa. She lives with her husband, David, their miniature schnauzer, Trixie, and their two sons, Teddy and Evan. Morgan, P. (2011, April 8). A Day Without Food May Help Maintain a Heart Without Disease. Discover Magazine. http://blogs.discovermagazine.com/80beats/2011/04/08/a-day-without-food-may-helpmaintain-a-heart-without-disease/#.Uww37_ldWSo Fasting is linked to decrease in cardiovascular disease. Two studies showed that during fasting the body lets out more cholesterol and burns fat. The burning of fat is what cases lower risk of the disease. CVD is the leading cause of death in US. The studies only monitored people for a day. Patrick Morgan wrote other articles for Discover Magazine such as, Intelligence and Green energy. Nabel, E.G. (1995). Gene Therapy for Cardiovascular Disease. Circulation, 91(2), 541-548. Doi: 10.1161/01.CIR.91.2.541 http://circ.ahajournals.org/content/91/2/541.full Advances in recombinant DNA technology, including gene transfer, have stimulated hope that this technology can be used to improve the practice of cardiovascular medicine. The idea is a good one but the technology is not to the point where it is currently useful for cardiovascular disease patients. Betsy Nabel has served as President of Harvard-affiliated Brigham and Women’s Hospital (BWH) since 2010. A cardiologist and distinguished biomedical researcher, Nabel is Professor of Medicine at Harvard Medical School. Cape 9 Nambi, V., & Ballantyne, C. (2007). Role of Biomarkers in Developing New Therapies for Vascular Disease.World Journal of Surgery, 31(4), 676-681. doi:10.1007/s00268-0060712-2 http://ezproxy.net.ucf.edu/login?url=http://search.ebscohost.com/login.aspx?direct=true& db=aph&AN=24487020&site=ehost-live “Biomarkers such as total cholesterol, low-density lipoprotein cholesterol, and hemoglobin A1c are used routinely. Advances in technologies, proteomics, and genomics and the resultant improved understanding of the pathophysiology of vascular diseases have led to the identification of several promising biomarkers. These biomarkers may be used to identify specific populations that may benefit from therapies, as surrogate markers of clinical efficacy, or as targets of therapy.” Statins reduce cholesterol and risk of cardiovascular disease. Table one shows the characteristics that are desirable in a biomarker. Vijay Nambi, M.D. is an Assistant Professor of Medicine at Baylor Heart Clinic. His clinical interests are peripheral arterial disease, vascular imaging, and cardiac prevention. Christie M. Ballantyne, M.D. has had the following positions: Professor of Medicine, Baylor College of Medicine, Chief, Cardiovascular Research Section (Division of Atherosclerosis and Vascular Medicine), Director, The Maria and Alando J. Ballantyne, M.D.(Atherosclerosis Clinical Research Laboratory), Director, Center for Cardiovascular Disease Prevention (Methodist DeBakey Heart Center), Co-director, Lipid Metabolism and Atherosclerosis Clinic, The Methodist Hospital. Pearson, T.A., Blair, S.N., Daniels, S.R., Eckel, R.H., Fair, J.M., Fortmann, S.P., Franklin, B. A., . . . & Taubert, K.A. (2008). AHA Guidelines for Primary Prevention of Cardiovascular Disease and Stroke: 2002 Update. Circulation, 106: 388-391. (2002). Doi: 10.1161/ 01.CIR.0000020190.45892.75 https://circ.ahajournals.org/content/106/3/388.full#cited-by Cape 10 This 2002 update of the Guide acknowledges a number of advances in the field of primary prevention since 1997. Research continues to refine the recommendations on detection and management of established risk factors, including evidence against the safety and efficacy of interventions once thought promising (eg, antioxidant vitamins).6 This, in turn, has stimulated a large number of additional guidelines for specific demographic groups (eg, women), on individual risk factors (eg, diabetes, smoking), and for the primary prevention of stroke. In all of these guidelines, there is an increasing emphasis on further stratifying patients by level of risk and matching the intensity of interventions to the hazard for cardiovascular disease events. Thomas A. Pearson, M.D., M.P.H., Ph.D. is tehe Executive Vice President for Research & Education at UF Health. Phan, J., Quo, C., & Wang, M. (2012). Cardiovascular genomics: a biomarker identification pipeline. IEEE Transactions On Information Technology In Biomedicine: A Publication Of The IEEE Engineering In Medicine And Biology Society, 16(5), 809-822. http://ezproxy.net.ucf.edu/login?url=http://search.ebscohost.com/login.aspx?direct=true& db=cmedm&AN=22614726&site=ehost-live Genomic assay methods are used to find biomarkers that help to indicated a person’s risk for cardiovascular disease. The book describes the genome-wide association, deep sequencing and miRNA array technologies. Microarrays have had mixed results at predicting CVD. NGS could be the solution to the problems in microarray technology. This has the technology to identify new genes and splice variants. These methods are essential for understanding the underlying molecular basis of human diseases such as cardiovascular disease. J . H. Phan and C. F. Quo are with the Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA. Wang is with the Department of Biomedical Engineering, the Department of Electrical and Computer Engineering, Winship Cancer Institute, and Parker H. Petit Institute of Bioengineering and Biosciences, Georgia Institute of Technology and Emory University, Atlanta, GA. Cape 11 Phillip, J. (2012, September 30). Suboptimal vitamin D levels significantly increase cardiovascular disease risk. Natural News. February 20, 2014, http://www.naturalnews.com/037372_vitamin_D_deficiency_cardiovascular_disease_ris k.html Vitamin D affects risk for CVD. A study showed that 10000 early deaths in Denmark linked vitamin D levels and the risk for heart disease. John Phillip is a Certified Nutritional Consultant and Health Researcher and Author who writes regularly on the cutting edge use of diet, lifestyle modifications and targeted supplementation to enhance and improve the quality and length of life. John is the author of 'Your Healthy Weight Loss Plan', a comprehensive EBook explaining how to use Diet, Exercise, Mind and Targeted Supplementation to achieve your weight loss goal. Ridker, P.M., Hennekens, C.H., Buring, J.E., & Rifai, N. (2000). C-Reactive Protein and Other Markers of Inflammation in the Prediction of Cardiovascular Disease in Women. The New England Journal of Medicine, 342(12), 836-848. Doi: 10.1056/NEJM200003233421202 http://www.nejm.org/doi/full/10.1056/NEJM200003233421202 “Of the 12 markers measured, hs-CRP was the strongest univariate predictor of the risk of cardiovascular events; the relative risk of events for women in the highest as compared with the lowest quartile for this marker was 4.4 (95 percent confidence interval, 2.2 to 8.9). Other markers significantly associated with the risk of cardiovascular events were serum amyloid A (relative risk for the highest as compared with the lowest quartile, 3.0), slCAM-1 (2.6), interleukin-6 (2.2), homocysteine (2.0), total cholesterol (2.4), lowdensity lipoprotein (LDL) cholesterol (2.4), apolipoprotein B-100 (3.4), high-density lipoprotein (HDL) cholesterol (0.3), and the ratio of total cholesterol to HDL cholesterol (3.4). Prediction models that incorporated markers of inflammation in addition to lipids were significantly better at predicting risk than models based on lipid levels alone (P<0.001). The levels of hs-CRP and serum amyloid A were significant predictors of risk even in the subgroup of women with LDL cholesterol levels below 130 mg per deciliter (3.4 mmol per liter), the target for primary prevention established by the National Cape 12 Cholesterol Education Program. In multivariate analyses, the only plasma markers that independently predicted risk were hs-CRP (relative risk for the highest as compared with the lowest quartile, 1.5; 95 percent confidence interval, 1.1 to 2.1) and the ratio of total cholesterol to HDL cholesterol (relative risk, 1.4; 95 percent confidence interval, 1.1 to 1.9).” Paul M. Ridker, MD is the Director of the Center for Cardiovascular Disease Prevention.