The relationship of obesity and cardiovascular disease

Aim. To review published literature on the relationship of obesity and cardiovascular disease.^ Methods. To look at all the studies published on the topic from 2005.^ Results. In the studies done prior to 2011, body mass index and in particular waist to hip ratio (51.57) was found to be associated with coronary heart disease. But, this relationship was challenged by the latest Lancet 2011meta-analysis 1 which concluded that singly or in combination, body-mass index, waist circumference, and waist-to-hip ratio did not importantly improve prediction of first-onset cardiovascular disease when additional information exists on blood pressure, history of diabetes, and cholesterol measures were available. Furthermore, they also found long-term reproducibility of BMI to be superior to that of waist-to-hip ratio (or waist circumference). Interestingly, body mass index in later childhood and early adult life showed positive association with coronary heart disease later in life 2. In US female health professionals 3 increasing body mass index was found to be associated with increased coronary heart disease risk. Overall 4, physical activity was found to be independently associated with fewer risk factors, less coronary artery disease, and fewer adverse events in women. Finally, obesity was found to be associated with increased overall cardiovascular mortality and coronary heart disease mortality 5.^ Conclusions. There is insufficient data to draw guidelines regarding parameters of obesity affecting cardiovascular disease. But there is data to support that lower body mass index would lead to decreased cardiovascular disease mortality. And physical activity has a direct association with less coronary artery disease in women.^

A comparison of adherence with minocycline treatment in Parkinson's disease and rheumatoid arthritis clinical trials

Background: Little is known about the effects on patient adherence when the same study drug is administered in the same dose in two populations with two different diseases in two different clinical trials. The Minocycline in Rheumatoid Arthritis (MIRA) trial and the NIH Exploratory Trials in Parkinson's disease (NET-PD) Futility Study I provide a unique opportunity to do the above and to compare methods measuring adherence. This study may increase understanding of the influence of disease and adverse events on patient adherence and will provide insights to investigators selecting adherence assessment methods in clinical trials of minocycline and other drugs in future.^ Methods: Minocycline adherence by pill count and the effect of adverse events was compared in the MIRA and NET-PD FS1 trials using multivariable linear regression. Within the MIRA trial, agreement between assay and pill count was compared. The association of adverse events with assay adherence was examined using multivariable logistic regression.^ Results: Adherence derived from pill count in the MIRA and NET-PD FS1 trials did not differ significantly. Adverse events potentially related to minocycline did not appear useful to predict minocycline adherence. In the MIRA trial, adherence measured by pill count appears higher than adherence measured by assay. Agreement between pill count and assay was poor (kappa statistic = 0.25).^ Limitations: Trial and disease are completely confounded and hence the independent effect of disease on adherence to minocycline treatment cannot be studied.^ Conclusion: Simple pill count may be preferred over assay in the minocycline clinical trials to measure adherence. Assays may be less sensitive in a clinical setting where appointments are not scheduled in relation to medication administration time, given assays depend on many pharmacokinetic and instrument-related factors. However, pill count can be manipulated by the patient. Another study suggested that self-report method is more sensitive than pill count method in differentiating adherence from non-adherence. An effect of medication-related adverse events on adherence could not be detected.^

Molecular Mechanisms of Vascular Disease in Patients with Rare Variants in MYH11

Thoracic aortic aneurysms and dissections (TAAD) are the primary disease affecting the thoracic ascending aorta, with an incidence rate of 10.4/100,000. Although about 20% of patients carry a mutation in a single gene that causes their disease, the remaining 80% of patients may also have genetic factors that increase their risk for developing TAAD. Many of the genes that predispose to TAAD encode proteins involved in smooth muscle cell (SMC) contraction and the disease-causing mutations are predicted to disrupt contractile function. SMCs are the predominant cell type in the ascending aortic wall. Mutations in MYH11, encoding the smooth muscle specific myosin heavy chain, are a rare cause of inherited TAAD. However, rare but recurrent non-synonymous variants in MYH11 are present in the general population but do not cause inherited TAAD. The goal of this study was to assess the potential role of these rare variants in vascular diseases. Two distinct variants were selected: the most commonly seen rare variant, MYH11 R247C, and a duplication of the chromosomal region spanning the MYH11 locus at 16p13.1. Genetic analyses indicated that both of these variants were significantly enriched in patients with TAAD compared with controls. A knock-in mouse model of the Myh11 R247C rare variant was generated, and these mice survive and reproduce normally. They have no structural abnormalities of the aorta or signs of aortic disease, but do have decreased aortic contractility. Myh11R247C/R247C mice also have increased proliferative response to vascular injury in vivo and increased proliferation of SMCs in vitro. Myh11R247C/R247C SMCs have decreased contractile gene and protein expression and are dedifferentiated. In fibroblasts, myosin force generation is required for maturation of focal adhesions, and enhancers of RhoA activity replace enhancers of Rac1 activity as maturation occurs. Consistent with these previous findings, focal adhesions are smaller in Myh11R247C/R247C SMCs, and there is decreased RhoA activation. A RhoA activator (CN03) rescues the dedifferentiated phenotype of Myh11R247C/R247C SMCs. Myh11R247C/R247C mice were bred with an existing murine model of aneurysm formation, the Acta2-/- mouse. Over time, mice carrying the R247C allele in conjunction with heterozygous or homozygous loss of Acta2 had significantly increased aortic diameter, and a more rapid accumulation of pathologic markers. These results suggest that the Myh11 R247C rare variant acts as a modifier gene increasing the risk for and severity of TAAD in mice. In patients with 16p13.1 duplications, aortic MYH11 expression is increased, but there is no corresponding increase in smooth muscle myosin heavy chain protein. Using SMCs that overexpress Myh11, we identified alterations in SMC phenotype leading to excessive protein turnover. All contractile proteins, not just myosin, are affected, and the proteins are turned over by autophagic degradation. Surprisingly, these cells are also more contractile compared with wild-type SMCs. The results described in this dissertation firmly establish that rare variants in MYH11 significantly affect the phenotype of SMCs. Further, the data suggests that these rare variants do increase the risk of TAAD via pathways involving altered SMC phenotype and contraction. Therefore, this study validates that these rare genetic variants alter vascular SMCs and provides model systems to explore the contribution of rare variants to disease.

Pathway Semantics: An Algebraic Data Driven Algorithm to Generate Hypotheses about Molecular Patterns Underlying Disease Progression

The overarching goal of the Pathway Semantics Algorithm (PSA) is to improve the in silico identification of clinically useful hypotheses about molecular patterns in disease progression. By framing biomedical questions within a variety of matrix representations, PSA has the flexibility to analyze combined quantitative and qualitative data over a wide range of stratifications. The resulting hypothetical answers can then move to in vitro and in vivo verification, research assay optimization, clinical validation, and commercialization. Herein PSA is shown to generate novel hypotheses about the significant biological pathways in two disease domains: shock / trauma and hemophilia A, and validated experimentally in the latter. The PSA matrix algebra approach identified differential molecular patterns in biological networks over time and outcome that would not be easily found through direct assays, literature or database searches. In this dissertation, Chapter 1 provides a broad overview of the background and motivation for the study, followed by Chapter 2 with a literature review of relevant computational methods. Chapters 3 and 4 describe PSA for node and edge analysis respectively, and apply the method to disease progression in shock / trauma. Chapter 5 demonstrates the application of PSA to hemophilia A and the validation with experimental results. The work is summarized in Chapter 6, followed by extensive references and an Appendix with additional material.

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. ^

Analysis of interval -censored events in hypertension studies: Evaluation of treatment of coronary heart disease

Many statistical studies feature data with both exact-time and interval-censored events. While a number of methods currently exist to handle interval-censored events and multivariate exact-time events separately, few techniques exist to deal with their combination. This thesis develops a theoretical framework for analyzing a multivariate endpoint comprised of a single interval-censored event plus an arbitrary number of exact-time events. The approach fuses the exact-time events, modeled using the marginal method of Wei, Lin, and Weissfeld, with a piecewise-exponential interval-censored component. The resulting model incorporates more of the information in the data and also removes some of the biases associated with the exclusion of interval-censored events. A simulation study demonstrates that our approach produces reliable estimates for the model parameters and their variance-covariance matrix. As a real-world data example, we apply this technique to the Systolic Hypertension in the Elderly Program (SHEP) clinical trial, which features three correlated events: clinical non-fatal myocardial infarction, fatal myocardial infarction (two exact-time events), and silent myocardial infarction (one interval-censored event). ^