Dados sobre a avaliação não invasiva da rigidez vascular e suas relações com variáveis de risco cardiovascular são escassos em jovens. Objetiva avaliar a relação entre a velocidade de onda de pulso (VOP) e a pressão arterial (PA), variáveis antropométricas, metabólicas, inflamatórias e de disfunção endotelial em indivíduos adultos jovens. Foram estudados 96 indivíduos (51 homens) do Estudo do Rio de Janeiro, em duas avaliações, A1 e A2, com intervalo de 17,691,58 anos (16 a 21 anos). Em A1 foram avaliados em suas escolas (10-15 anos - média 12,421,47 anos) e em A2 foram novamente avaliados em nível ambulatorial (26-35 anos - média 30,091,92 anos). Em A1 foram obtidos pressão arterial (PA) e índice de massa corporal (IMC). Em A2 foram obtidos a velocidade da onda de pulso (VOP)-método Complior, PA, IMC, circunferência abdominal (CA), glicose, perfil lipídico, leptina, insulina, adiponectina, o índice de resistência à insulina HOMA-IR, proteína C-Reativa ultrassensível (PCRus) e as moléculas de adesão E-selectina, Vascular Cell Adhesion Molecule-1(VCAM-1) e Intercellular Adhesion Molecule-1 (ICAM-1). Foram obtidos, ainda, a variação da PA e do IMC entre as 2 avaliações. Em A2 os indivíduos foram estratificados segundo o tercil da VOP para cada sexo. Como resultados temos: 1) Os grupos foram constituídos da seguinte forma: Tercil 1:homens com VOP < 8,69 m/s e mulheres com VOP < 7,66 m/s; Tercil 2: homens com VOP &#8805; 8,69 m/s e < 9,65m/s e mulheres com VOP &#8805; 7,66 m/s e < 8,31m/s;Tercil 3:homens com VOP &#8805; 9,65 m/s e mulheres com VOP &#8805; 8,31 m/s. 2) O grupo com maior tercil de VOP mostrou maiores médias de PA sistólica (PAS) (p=0,005), PA diastólica (PAD) (p=0,007), PA média (PAM) (p=0,004), variação da PAD (p=0,032), variação da PAM (p=0,003), IMC (p=0,046), variação do IMC (p=0,020), insulina (p=0,019), HOMA-IR (p=0,021), E-selectina (p=0,032) e menores médias de adiponectina (p=0,016), além de maiores prevalências de diabetes mellitus/intolerância à glicose (p=0,022) e hiperinsulinemia (p=0,038); 3) Houve correlação significativa e positiva da VOP com PAS (p<0,001), PAD (p<0,001), PP (p=0,048) e PAM (p<0,001) de A2, com a variação da pressão arterial (PAS, PAD e PAM) (p<0,001) entre as duas avaliações, com o IMC de A2 (p=0,005) e com a variação do IMC (p<0,001) entre as duas avaliações, com CA (p=0,001), LDLcolesterol (p=0,049) e E-selectina (p<0,001) e correlação negativa com HDLcolesterol (p<0,001) e adiponectina (p<0,001); 4)Em modelo de regressão múltipla, após ajuste do HDL-colesterol, LDLcolesterol e adiponectina para sexo, idade, IMC e PAM, apenas o sexo masculino e a PAM mantiveram correlação significativa com a VOP. A VOP em adultos jovens mostrou relação significativa com variáveis de risco cardiovascular, destacando-se o sexo masculino e a PAM como importantes variáveis no seu determinismo. Os achados sugerem que a medida da VOP pode ser útil para a identificação do acometimento vascular nessa faixa etária. / Data on non-invasive evaluation of vascular stiffness in the young and its relationship with cardiovascular (CV) risk variables are scarce. Objective to assess the relationship between pulse wave velocity (PWV) and blood pressure (BP), anthropometric, metabolic, inflammatory and endothelial dysfunction variables in young adults. Ninety-six individuals (51 males) from The Rio de Janeiro Study cohort were studied in two evaluations, A1 and A2, with an interval of 17.69 1.58 years (16-21 years). In A 1 they were evaluated at their schools (10-15 years average 12.42 1.47 years) and in A2 they were all re-evaluated as outpatients (26-35 years - average 30.09 1.92 years). In A1 BP and body mass index (BMI) were obtained. In A2 pulse wave velocity (PWV) by Complior method, BP, BMI, waist circumference (WC), glucose, lipid profile, leptin, insulin, adiponectin, the HOMA-IR insulin resistance index, high sensitive C-Reactive protein (CRPhs) and E-selectin, Vascular Cell Adhesion Molecule 1 (VCAM-1) and Intercellular Adhesion Molecule 1 (ICAM-1) adhesion molecules were obtained. The BP and BMI variation over the time interval between the two evaluations were also obtained. Subjects were stratified according to tertile of PWV for each sex in A2. As results: 1) The groups were constituted as follows: Tertile 1: males with PWV <8.69 m/s and females with PWV <7.66 m/s; Tertile 2: males with PWV &#8805; 8.69 m/s and <9.65 m/s and females with PWV &#8805; 7.66 m/s and <8.31 m/s; Tertile 3: males with PWV &#8805; 9.65 m/s and females with PWV &#8805; 8.31 m/s 2) The group with the highest PWV tertile showed higher values of systolic BP (SBP) (p=0.005), diastolic BP (DBP) (p=0.007), mean BP (MBP) (p=0,004), DBP variation (p=0,032), MBP variation (p=0.033), BMI (p=0.046), BMI variation (p=0.020), insulin (p=0.019), HOMA-IR (p=0.021), E-Selectin (p=0.032) and lower values of adiponectin (p=0.016), besides higher prevalence of diabetes mellitus/glucose intolerance (p=0.022) and hyperinsulinemia (p=0.038); 3) There were a significant positive correlation of PWV with SBP (p<0,001), DBP (p<0,001), PP (p=0,048) and MBP (p<0,001) from A2, variation in blood pressure (SBP, DBP, and MBP) (p<0,001) between the two assessments, BMI (p=0.005) and BMI variation between the two evaluations (p<0,001), WC (p=0.001), LDL-cholesterol (0.049), and E-selectin (p<0,001) and negative correlation with HDL-cholesterol (p<0,001) and adiponectin (p<0,001); 4) In the multiple regression model, HDL-cholesterol, LDL-cholesterol and adiponectin lost statistical significance after adjustment for sex, age, BMI and MBP, only the male gender and MBP remained significantly correlated with PWV. PWV in young adults showed a significant association with CV risk variables, highlighting the male gender and MBP as important variables in its determining. The findings suggest that measurement of PWV can be useful for the identification of vascular impairment in this age group.

Indiana University-Purdue University Indianapolis (IUPUI) / Obesity increases cardiovascular disease risk and is associated with factors of the “metabolic syndrome” (MetS), a disorder including hypertension, hypercholesterolemia and/or impaired glucose tolerance. Expanding adipose and subsequent inflammation is implicated in vascular dysfunction in MetS. Perivascular adipose tissue (PVAT) surrounds virtually every artery and is capable of releasing factors that influence vascular reactivity, but the effects of PVAT in the coronary circulation are unknown. Accordingly, the goal of this investigation was to delineate mechanisms by which lean vs. MetS coronary PVAT influences vasomotor tone and the coronary PVAT proteome. We tested the hypothesis that MetS alters the functional expression and vascular contractile effects of coronary PVAT in an Ossabaw swine model of the MetS. Utilizing isometric tension measurements of coronary arteries in the absence and presence of PVAT, we revealed the vascular effects of PVAT vary according to anatomical location as coronary and mesenteric, but not subcutaneous adipose tissue augmented coronary artery contractions to KCl. Factors released from coronary PVAT increase baseline tension and potentiate constriction of isolated coronary arteries relative to the amount of adipose tissue present. The effects of coronary PVAT are elevated in the setting of MetS and occur independent of endothelial function. MetS is also associated with substantial alterations in the coronary PVAT proteome and underlying increases in vascular smooth muscle Ca2+ handling via CaV1.2 channels, H2O2-sensitive K+ channels and/or upstream mediators of these ion channels. Rho-kinase signaling participates in the increase in coronary artery contractions to PVAT in lean, but not MetS swine. These data provide novel evidence that the vascular effects of PVAT vary according to anatomic location and are influenced by the MetS phenotype.

Indiana University-Purdue University Indianapolis (IUPUI) / Atherosclerotic lesions of human beings are common diagnosed in regions of arte- rial branching and curvature. The prevalence of atherosclerosis is usually associated with hardening and ballooning of aortic wall surfaces because of narrowing of flow path by the deposition of fatty materials, platelets and influx of plasma through in- timal wall of Aorta. High Wall Shear Stress (WSS) is proved to be the main cause behind all these aortic diseases by physicians and researchers. Due to the fact that the atherosclerotic regions are associated with complex blood flow patterns, it has believed that hemodynamics and fluid-structure interaction play important roles in regulating atherogenesis. As one of the most complex flow situations found in cardio- vascular system due to the strong curvature effects, irregular geometry, tapering and branching, and twisting, theoretical prediction and in vivo quantitative experimental data regarding to the complex blood flow dynamics are substantial paucity. In recent years, computational fluid dynamics (CFD) has emerged as a popular research tool to study the characteristics of aortic flow and aim to enhance the understanding of the underlying physics behind arteriosclerosis. In this research, we study the hemo- dynamics and flow-vessel interaction in patient specific normal (healthy) and dilated (diseased) aortas using Ansys-Fluent and Ansys-Workbench. The computation con- sists of three parts: segmentation of arterial geometry for the CFD simulation from computed tomography (CT) scanning data using MIMICS; finite volume simulation of hemodynamics of steady and pulsatile flow using Ansys-Fluent; an attempt to perform the Fluid Structure Simulation of the normal aorta using Ansys-Workbench. Instead of neglecting the branching or smoothing out the wall for simplification as a lot of similar computation in literature, we use the exact aortic geometry. Segmen- tation from real time CT images from two patients, one young and another old to represent healthy and diseased aorta respectively, is on MIMICS. The MIMICS seg- mentation operation includes: first cropping the required part of aorta from CT dicom data of the whole chest, masking of the aorta from coronal, axial and saggital views of the same to extract the exact 3D geometry of the aorta. Next step was to perform surface improvement using MIMICS 3-matic module to repair for holes, noise shells and overlapping triangles to create a good quality surface of the geometry. A hexahe- dral volume mesh was created in T-Grid. Since T-grid cannot recognize the geometry format created by MIMICS 3-matic; the required step geometry file was created in Pro-Engineer. After the meshing operation is performed, the mesh is exported to Ansys Fluent to perform the required fluid simulation imposing adequate boundary conditions accordingly. Two types of study are performed for hemodynamics. First is a steady flow driven by specified parabolic velocity at inlet. We captured the flow feature such as skewness of velocity around the aortic arch regions and vortices pairs, which are in good agreement with open data in literature. Second is a pulsatile flow. Two pulsatile velocity profiles are imposed at the inlet of healthy and diseased aorta respectively. The pulsatile analysis was accomplished for peak systolic, mid systolic and diastolic phase of the entire cardiac cycle. During peak systole and mid-systole, high WSS was found at the aortic branch roots and arch regions and diastole resulted in flow reversals and low WSS values due to small aortic inflow. In brief, areas of sudden geometry change, i.e. the branch roots and irregular surfaces of the geom- etry experience more WSS. Also it was found that dilated aorta has more sporadic nature of WSS in different regions than normal aorta which displays a more uniform WSS distribution all over the aorta surface. Fluid-Structure Interaction simulation is performed on Ansys-WorkBench through the coupling of fluid dynamics and solid mechanics. Focus is on the maximum displacement and equivalent stress to find out the future failure regions for the peak velocity of the cardiac cycle.

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