NOVEL BIOMARKERS AS RISK FACTORS FOR CARDIOVASCULAR DISEASE

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NOVEL BIOMARKERS AS RISK FACTORS FOR CARDIOVASCULAR DISEASE Amy Alman, PhD Assistant Professor of Epidemiology College of Public Health University of South Florida

Causation is a concept central to epidemiology Etiology of CVD Onset of atherosclerosis Promote plaque development Precipitate a clinical event Biomarkers may be causal, a measure of the underlying pathology, or a correlate of a causal factor CAUSE VERSUS MECHANISM

Borgman J. Today s random medical news from the New England Journal of Panic-Inducing Gobbledygook (cartoon). Cincinnati Enquirer. 1997

Strength of Association Consistency of the Association Specificity Temporality Biologic Gradient (i.e., dose-response) HILL S POSTULATES OF CAUSATION FOR CHRONIC DISEASES

Extensive, multidisciplinary study demonstrating significant role in etiology of CVD High prevalence Strong impact on risk Guidelines for optimal levels Potential for prevention or treatment (for modifiable factors) WHAT DEFINES A MAJOR RISK FACTOR?

Modifiable Diabetes Obesity and overweight Smoking High cholesterol High blood pressure Physical inactivity Poor diet Unmodifiable Age Family history MAJOR RISK FACTORS FOR CVD

Improvements in modifiable risk factors can significantly decrease cardiovascular morbidity and mortality*. A recent meta-analysis found that achieving the greatest AHA ideal health metrics was associated with significantly lower risk of stroke, CVD, and CVD mortality. Trends in improvement of these cardiovascular health metrics are projected to reduce CHD mortality by 30% by 2020. Lifetime risk of CVD events varies depending on age, gender, and presence of major modifiable risk factors. With an optimal risk factor profile, risk varies between 0.9% and 29.5% With 2 major risk factors present, risk varies between 9.1% and 49.5% IMPACT OF MAJOR RISK FACTORS *Benjamin EJ, Blaha MJ, Chiuve SE, et al. Heart Disease and Stroke Statistics-2017 Update: A Report From the American Heart Association. Circulation 2017;135:e146-e603. Berry JD, Dyer A, Cai X, et al. Lifetime risks of cardiovascular disease. The New England journal of medicine 2012;366:321-9.

Traditional risk factors account for between 50% and 82% of the risk of CVD Significant gaps remain in understanding other contributors to CVD AND YET

Inflammation Adiposity distribution and deposition in fat depots Epicardial/pericardial fat Liver fat Genetics Infections Chlamydophila pneumonia Periodontal disease NOVEL BIOMARKERS

A chronic inflammatory lesion of the supporting structures surrounding the teeth Shift in composition of oral microbial ecology from predominately Gram-positive organisms to anaerobic Gram-negative organisms Disease pathogenesis is mediated by the immune response to chronic infection Characterized by local and systemic inflammation DEFINITION OF PERIODONTAL DISEASE

Dissemination of bacterial components (LPS) Local and systemic production of cytokines (IL-1β, TNF-α, IL-6) Spill-over of local cytokines into circulation Increases in peripheral leukocytes (primarily neutrophils) SYSTEMIC INFLAMMATION DUE TO PERIODONTAL DISEASE

Hyperinflammatory phenotype Secretion of increased levels of proinflammatory cytokines Dysfunction in mechanisms of immune resolution Atherosclerosis is an inflammatory condition Observations of increased risk of cardiovascular disease due to infection and inflammation Risks of bacteremia PERIODONTAL DISEASE AND CARDIOVASCULAR DISEASE

Recent meta-analysis from 22 observational studies showed statistically significant association with MI risk [OR = 2.02 (1.59 2.57)]* Growing body of literature on the oral-systemic connection Rheumatoid arthritis Preterm birth Osteoporosis Diabetes EVIDENCE OF ASSOCIATION *Xu S, Song M, Xiong Y, Liu X, He Y, Qin Z. The association between periodontal disease and the risk of myocardial infarction: a pooled analysis of observational studies. BMC Cardiovasc Disord 2017;17:50

Lack of association in some studies; moderate association in others Lack of control for confounding, particularly smoking Potential for residual confounding Lack of measure of the infection Inconsistent definitions for both cardiovascular disease and periodontal disease LIMITATIONS OF PREVIOUS STUDIES

Indirect: systemic inflammation Direct: bacteremia and colonization of atheroma by periodontal pathogens Host factors Genetic susceptibility Hyperinflammatory Co-morbidities POTENTIAL MECHANISMS

Which mechanism, if any or all, is not understood Exact molecular processes are not known Where in the atherosclerotic process is the effect exerted? Initiation, enhancement of early processes, accelerated progression, or precipitation of events? QUESTIONS

Clinical measures Historical insight Capture effect of infection and immune response Lack understanding of bacterial processes Measuring antibodies Culture methods UNDERSTANDING THE INFECTION

Nucleotide sequencing techniques that allow identification of composition of the microbiome in various sites Oral (saliva, subgingival, supragingival) Gut Skin Relative abundance and diversity Dysbiosis in the microbiota is associated with Periodontal disease Inflammatory bowel disease Cancer METAGENOMIC SEQUENCING

Composition of microbiome in various sites Function of microbiome Transcriptomics Proteomics Metabolomics Mycobiome Virome ONGOING RESEARCH

Bacterial signatures Higher risk of disease Treatment efficacy Targeted treatment Microbiome transplant Treatment to alter microbiome PERSONALIZED MEDICINE