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Keywords = aortic valve calcium

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13 pages, 898 KiB  
Article
Interrater Variability of ML-Based CT-FFR in Patients without Obstructive CAD before TAVR: Influence of Image Quality, Coronary Artery Calcifications, and Location of Measurement
by Robin F. Gohmann, Adrian Schug, Christian Krieghoff, Patrick Seitz, Nicolas Majunke, Maria Buske, Fyn Kaiser, Sebastian Schaudt, Katharina Renatus, Steffen Desch, Sergey Leontyev, Thilo Noack, Philipp Kiefer, Konrad Pawelka, Christian Lücke, Ahmed Abdelhafez, Sebastian Ebel, Michael A. Borger, Holger Thiele, Christoph Panknin, Mohamed Abdel-Wahab, Matthias Horn and Matthias Gutberletadd Show full author list remove Hide full author list
J. Clin. Med. 2024, 13(17), 5247; https://doi.org/10.3390/jcm13175247 - 4 Sep 2024
Viewed by 1067
Abstract
Objectives: CT-derived fractional flow reserve (CT-FFR) can improve the specificity of coronary CT-angiography (cCTA) for ruling out relevant coronary artery disease (CAD) prior to transcatheter aortic valve replacement (TAVR). However, little is known about the reproducibility of CT-FFR and the influence of [...] Read more.
Objectives: CT-derived fractional flow reserve (CT-FFR) can improve the specificity of coronary CT-angiography (cCTA) for ruling out relevant coronary artery disease (CAD) prior to transcatheter aortic valve replacement (TAVR). However, little is known about the reproducibility of CT-FFR and the influence of diffuse coronary artery calcifications or segment location. The objective was to assess the reliability of machine-learning (ML)-based CT-FFR prior to TAVR in patients without obstructive CAD and to assess the influence of image quality, coronary artery calcium score (CAC), and the location of measurement within the coronary tree. Methods: Patients assessed for TAVR, without obstructive CAD on cCTA were evaluated with ML-based CT-FFR by two observers with differing experience. Differences in absolute values and categorization into hemodynamically relevant CAD (CT-FFR ≤ 0.80) were compared. Results in regard to CAD were also compared against invasive coronary angiography. The influence of segment location, image quality, and CAC was evaluated. Results: Of the screened patients, 109/388 patients did not have obstructive CAD on cCTA and were included. The median (interquartile range) difference of CT-FFR values was −0.005 (−0.09 to 0.04) (p = 0.47). Differences were smaller with high values. Recategorizations were more frequent in distal segments. Diagnostic accuracy of CT-FFR between both observers was comparable (proximal: Δ0.2%; distal: Δ0.5%) but was lower in distal segments (proximal: 98.9%/99.1%; distal: 81.1%/81.6%). Image quality and CAC had no clinically relevant influence on CT-FFR. Conclusions: ML-based CT-FFR evaluation of proximal segments was more reliable. Distal segments with CT-FFR values close to the given threshold were prone to recategorization, even if absolute differences between observers were minimal and independent of image quality or CAC. Full article
(This article belongs to the Topic AI in Medical Imaging and Image Processing)
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<p>Diagram of the 18-segment model of the coronary tree. Diagram showing the coronary tree with its division into 18 segments according to the SCCT guidelines [<a href="#B16-jcm-13-05247" class="html-bibr">16</a>]. Shaded segments were defined as proximal in this study. L = left; LAD = left anterior descending artery; PDA = posterior descending artery; PLB = posterior-lateral branch; R = right; RCA = right coronary artery; SCCT = Society of Cardiovascular Computed Tomography.</p>
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<p>CT-FFR values at patient level. Bland-Altman plot showing the distribution of differences in CT-FFR values between both observers. Differences between both observers are overall very small. The plot shows no indication of a systematic bias. Lower mean CT-FFR values show one outlier (CT-FFR difference of −0.45 at a CT-FFR mean value of 0.58), which has been omitted from the plot for clarity. Lower mean CT-FFR values also show a larger heterogeneity of CT-FFR differences. CT-FFR = CT-derived fractional flow reserve. Dashed horizontal lines represent the mean difference (middle line) and the upper and lower limits of agreement (±1.96 SD, upper and lower lines).</p>
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33 pages, 2185 KiB  
Review
Aortic Valve Calcium Score: Applications in Clinical Practice and Scientific Research—A Narrative Review
by Paweł Gać, Arkadiusz Jaworski, Filip Grajnert, Katarzyna Kicman, Agnieszka Trejtowicz-Sutor, Konrad Witkowski, Małgorzata Poręba and Rafał Poręba
J. Clin. Med. 2024, 13(14), 4064; https://doi.org/10.3390/jcm13144064 - 11 Jul 2024
Viewed by 1892
Abstract
In this narrative review, we investigate the essential role played by the computed tomography Aortic Valve Calcium Score (AVCS) in the cardiovascular diagnostic landscape, with a special focus on its implications for clinical practice and scientific research. Calcific aortic valve stenosis is the [...] Read more.
In this narrative review, we investigate the essential role played by the computed tomography Aortic Valve Calcium Score (AVCS) in the cardiovascular diagnostic landscape, with a special focus on its implications for clinical practice and scientific research. Calcific aortic valve stenosis is the most prevalent type of aortic stenosis (AS) in industrialized countries, and due to the aging population, its prevalence is increasing. While transthoracic echocardiography (TTE) remains the gold standard, AVCS stands out as an essential complementary tool in evaluating patients with AS. The advantage of AVCS is its independence from flow; this allows for a more precise evaluation of patients with discordant findings in TTE. Further clinical applications of AVCS include in the assessment of patients before transcatheter aortic valve replacement (TAVR), as it helps in predicting outcomes and provides prognostic information post-TAVR. Additionally, we describe different AVCS thresholds regarding gender and the anatomical variations of the aortic valve. Finally, we discuss various scientific studies where AVCS was applied. As AVCS has some limitations, due to the pathophysiologies of AS extending beyond calcification and gender differences, scientists strive to validate contrast-enhanced AVCS. Furthermore, research on developing radiation-free methods of measuring calcium content is ongoing. Full article
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<p>Examples of cardiac computed tomography images in the AVCS assessment protocol: (<b>A</b>) 67-year-old woman with AVCS 1578; (<b>B</b>) 74-year-old man with AVCS 5323 (images from P.G.’s clinical practice). Purple—calcifications in the aortic valve, yellow—calcifications in the LAD branch, blue—calcifications in the LCx branch, pink—calcifications in other anatomical structures, red—calcifications in the RCA.</p>
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<p>Sample images of the aortic valve in cardiac computed tomography: (<b>A</b>) bicuspid aortic valve; (<b>B</b>) tricuspid aortic valve (images from P.G.’s clinical practice).</p>
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<p>AVA measurement in an example computed tomography cardiac image (from P.G.’s clinical practice). In the application from which the image originates, [1] signifies a measurement made, which is described in the following text.</p>
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<p>Elementary measurements in cardiac computed tomography before TAVR: (<b>A</b>) Dimensions, circumference, and surface area of the aortic annulus. (<b>B</b>) Dimensions, circumference, and surface area of the aortic bulb. (<b>C</b>) Distance of the RCA origin from the aortic annulus. (<b>D</b>) Distance of the LM origin from the aortic annulus. (<b>E</b>) Aortic bulb height (images from P.G.’s clinical practice).</p>
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38 pages, 7060 KiB  
Article
Patients with a Bicuspid Aortic Valve (BAV) Diagnosed with ECG-Gated Cardiac Multislice Computed Tomography—Analysis of the Reasons for Referral, Classification of Morphological Phenotypes, Co-Occurring Cardiovascular Abnormalities, and Coronary Artery Stenosis
by Piotr Machowiec, Piotr Przybylski, Elżbieta Czekajska-Chehab and Andrzej Drop
J. Clin. Med. 2024, 13(13), 3790; https://doi.org/10.3390/jcm13133790 - 27 Jun 2024
Viewed by 1016
Abstract
Background/Objectives: The aim of this study was to analyze a group of patients with a bicuspid aortic valve (BAV) examined with ECG-gated cardiac CT (ECG-CT), focusing on the assessment of the clinical reasons for cardiac CT, cardiovascular abnormalities coexisting with their BAV, [...] Read more.
Background/Objectives: The aim of this study was to analyze a group of patients with a bicuspid aortic valve (BAV) examined with ECG-gated cardiac CT (ECG-CT), focusing on the assessment of the clinical reasons for cardiac CT, cardiovascular abnormalities coexisting with their BAV, and coronary artery stenosis. Methods: A detailed statistical analysis was conducted on 700 patients with a BAV from a group of 15,670 patients examined with ECG-CT. Results: The incidence of a BAV in ECG-CT was 4.6%. The most common reason for examination was suspicion of coronary heart disease—31.1%. Cardiovascular defects most frequently associated with a BAV were a VSD (4.3%) and coarctation of the aorta (3.6%), while among coronary anomalies, they were high-take-off coronary arteries (6.4%) and paracommissural orifice of coronary arteries (4.4%). The analysis of the coronary artery calcium index showed significantly lower values for type 2 BAV compared to other valve types (p < 0.001), with the lowest average age in this group of patients. Moreover, the presence of a raphe between the coronary and non-coronary cusps was associated with a higher rate of significant coronary stenosis compared to other types of BAVs (p < 0.001). Conclusions: The most common reason for referral for cardiac ECG-CT in the group ≤ 40-year-olds with a BAV was the suspicion of congenital cardiovascular defects, while in the group of over 40-year-olds, it was the suspicion of coronary artery disease. The incidence of cardiovascular abnormalities co-occurring with BAV and diagnosed with ECG-CT differs among specific patient subgroups. The presence of a raphe between the coronary and non-coronary cusps appears to be a potential risk factor for significant coronary stenosis in patients with BAVs. Full article
(This article belongs to the Special Issue Clinical Application of Cardiac Imaging)
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<p>Study flowchart with inclusion and exclusion criteria.</p>
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<p>Classification of the bicuspid aortic valve based on Sievers H, Schmidtke C. A classification system for the bicuspid valve from 304 surgical specimens. J. Thorac. Cardiovasc. Surg. 2007, 133(5): 1226–1233—own sketch. (<b>a</b>) Type 0 A-P; (<b>b</b>) type 0 lateral; (<b>c</b>) type 1 R-L; (<b>d</b>) type 1 R-N; (<b>e</b>) type 1 L-N. The dashed line indicates the raphe between the cusps, while the black dots indicate the coronary arteries: R—right, L—left.</p>
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<p>Type 0 bicuspid aortic valve (BAV), the so-called purely bicuspid aortic valve. (<b>a</b>,<b>c</b>) A-P valve with both coronary arteries departing from one sinus of Valsalva, (<b>b</b>,<b>d</b>) lateral valve with arteries departing from opposite sinuses. The top row shows open valves, and the bottom row shows closed valves.</p>
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<p>Type 0 bicuspid aortic valve (BAV), the so-called purely bicuspid aortic valve. (<b>a</b>,<b>c</b>) A-P valve with both coronary arteries departing from one sinus of Valsalva, (<b>b</b>,<b>d</b>) lateral valve with arteries departing from opposite sinuses. The top row shows open valves, and the bottom row shows closed valves.</p>
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<p>Type 1 BAV with raphe within fused cusps. (<b>a</b>,<b>d</b>) R-L valve with right and left cusps fused; (<b>b</b>,<b>e</b>) R-N valve with raphe between right and non-coronary cusps; (<b>c</b>,<b>f</b>) L-N valve with raphe between left and non-coronary cusps. The raphe on the dominant cusps is marked with a red arrow. The top row (<b>a</b>–<b>c</b>) shows open valves, and the bottom row (<b>d</b>,<b>e</b>) shows closed valves.</p>
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<p>Type 2 BAV with two raphes. (<b>a</b>) Open valve; (<b>b</b>) closed valve. The raphes are marked with red arrows.</p>
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<p>Age distribution of the study population. Normal distribution with a peak at 50 years of age.</p>
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<p>(<b>a</b>) Age distribution of females. Left-skewed distribution with a peak at 55 years of age. (<b>b</b>) Age distribution of males. Normal distribution with a peak at 50 years of age—similar to the distribution of the whole group.</p>
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<p>A case of a patient with coarctation of the aorta coexisting with a bicuspid aortic valve (type 0). (<b>a</b>) Multislice three-dimensional reconstruction CT scan illustrating coarctation of the aorta; (<b>b</b>) type 0 BAV—open; (<b>c</b>) type 0 BAV—closed.</p>
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<p>Division of the patient group (n = 700) according to the number of clinically significant cardiovascular abnormalities (group I and II) per subject coexisting with a bicuspid aortic valve on ECG-gated cardiac CT.</p>
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<p>Coronary artery calcium score in patients with bicuspid aortic valve and tricuspid aortic valve—box plot.</p>
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<p>Association of CAC with age for different types of bicuspid aortic valve.</p>
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<p>(<b>a</b>) Odds ratio plot with a confidence interval of significant coronary stenosis resulting from univariate logistic regression (n = 700). (<b>b</b>) Odds ratio plot with a confidence interval of significant coronary stenosis resulting from univariate logistic regression (n = 643)—type 2 BAV excluded. The presence of a raphe between the coronary and non-coronary cusps was considered a risk factor for significant coronary artery stenosis.</p>
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<p>Odds ratio plot with a confidence interval of significant coronary stenosis resulting from multivariate logistic regression (n = 700). Data encoding gender (0—females, 1—males) and type of BAV (0—other types of BAV, 1—type 1 R-N + 1 L-N).</p>
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<p>Odds ratio plot with a confidence interval of significant coronary stenosis resulting from multivariate logistic regression (n = 700)—after excluding an insignificant variable (gender). Data encoding gender (0—females, 1—males) and type of BAV (0—other types of BAV, 1—type 1 R-N + 1 L-N).</p>
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<p>ROC curve for the obtained model. Area under the curve = 0.905, 95% CI: 0.877–0.934.</p>
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14 pages, 1760 KiB  
Review
Impact of Stress Echocardiography on Aortic Valve Stenosis Management
by Andreas Synetos, Konstantina Vlasopoulou, Maria Drakopoulou, Anastasios Apostolos, Nikolaos Ktenopoulos, Odysseas Katsaros, Theofanis Korovesis, George Latsios and Kostas Tsioufis
J. Clin. Med. 2024, 13(12), 3495; https://doi.org/10.3390/jcm13123495 - 14 Jun 2024
Viewed by 2198
Abstract
Rest and stress echocardiography (SE) play a fundamental role in the evaluation of aortic valve stenosis (AS). According to the current guidelines for the echocardiographic evaluation of patients with aortic stenosis, four broad categories can be defined: high-gradient AS (mean gradient ≥ 40 [...] Read more.
Rest and stress echocardiography (SE) play a fundamental role in the evaluation of aortic valve stenosis (AS). According to the current guidelines for the echocardiographic evaluation of patients with aortic stenosis, four broad categories can be defined: high-gradient AS (mean gradient ≥ 40 mmHg, peak velocity ≥ 4 m/s, aortic valve area (AVA) ≤ 1 cm2 or indexed AVA ≤ 0.6 cm2/m2); low-flow, low-gradient AS with reduced ejection fraction (mean gradient < 40 mmHg, AVA ≤ 1 cm2, left ventricle ejection fraction (LVEF) < 50%, stroke volume index (Svi) ≤ 35 mL/m2); low-flow, low-gradient AS with preserved ejection fraction (mean gradient < 40 mmHg, AVA ≤ 1 cm2, LVEF ≥ 50%, SVi ≤ 35 mL/m2); and normal-flow, low-gradient AS with preserved ejection fraction (mean gradient < 40 mmHg, AVA ≤ 1 cm2, indexed AVA ≤ 0.6 cm2/m2, LVEF ≥ 50%, SVi > 35 mL/m2). Aortic valve replacement (AVR) is indicated with the onset of symptoms development or LVEF reduction. However, there is often mismatch between resting transthoracic echocardiography findings and patient’s symptoms. In these discordant cases, SE and CT calcium scoring are among the indicated methods to guide the management decision making. Additionally, due to the increasing evidence that in asymptomatic severe aortic stenosis an early AVR instead of conservative treatment is associated with better outcomes, SE can help identify those that would benefit from an early AVR by revealing markers of poor prognosis. Low-flow, low-gradient AS represents a challenge both in diagnosis and in therapeutic management. Low-dose dobutamine SE is the recommended method to distinguish true-severe from pseudo-severe stenosis and assess the existence of flow (contractile) reserve to appropriately guide the need for intervention in these patients. Full article
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<p>Classical low-flow, low-gradient aortic stenosis categorisation according to dobutamine stress echocardiography findings. LFLG, low-flow low-gradient; AS, aortic stenosis; DSE, dobutamine stress echocardiography; ΔSV, stroke volume increase; LV, left ventricle; MeanGr, mean pressure gradient; AVA, aortic valve area; ΔQ, change in flow rate, AVAproj, projected AVA; CT, computed tomography.</p>
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<p>Paradoxical low-flow, low-gradient aortic stenosis categorisation according to dobutamine stress echocardiography findings. LFLG, low-flow low-gradient; AS, aortic stenosis; MR, mitral regurgitation; TR, tricuspid regurgitation; MS, mitral stenosis; VSD, ventricular septal defect; RV, right ventricle; SE, stress echocardiography; DSE, dobutamine stress echocardiography; ΔSV, stroke volume increase; LV, left ventricle; MeanGr, mean pressure gradient; AVA, aortic valve area; ΔQ, change in flow rate, AVAproj, projected AVA; CT, computed tomography.</p>
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<p>Role of stress echocardiography in aortic valve stenosis management. AS, aortic stenosis; LFLG, low-flow low-gradient; LVEF, left ventricle ejection fraction; SE, stress echocardiography; DSE, dobutamine stress echocardiography; SBP, systolic blood pressure; MG, mean pressure gradient; VC, cardiovascular; CT, computed tomography; AVR, aortic valve replacement.</p>
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11 pages, 2128 KiB  
Article
Energy Loss Index and Dimensionless Index Outperform Direct Valve Planimetry in Low-Gradient Aortic Stenosis
by Sarah Hugelshofer, Diana de Brito, Panagiotis Antiochos, Georgios Tzimas, David C. Rotzinger, Denise Auberson, Agnese Vella, Stephane Fournier, Matthias Kirsch, Olivier Muller and Pierre Monney
J. Clin. Med. 2024, 13(11), 3220; https://doi.org/10.3390/jcm13113220 - 30 May 2024
Viewed by 957
Abstract
Background/Objectives: Among patients with suspected severe aortic stenosis (AS), discordance between effective orifice area (EOA) and transvalvular gradients is frequent and requires a multiparametric workup including flow assessment and calcium-scoring to confirm true severe AS. The aim of this study was to assess [...] Read more.
Background/Objectives: Among patients with suspected severe aortic stenosis (AS), discordance between effective orifice area (EOA) and transvalvular gradients is frequent and requires a multiparametric workup including flow assessment and calcium-scoring to confirm true severe AS. The aim of this study was to assess direct planimetry, energy loss index (Eli) and dimensionless index (DI) as stand-alone parameters to identify non-severe AS in discordant cases. Methods: In this prospective cohort study, we included consecutive AS patients > 70 years with EOA < 1.0 cm2 referred for valve replacement between 2014 and 2017. AS severity was retrospectively reassessed using the multiparametric work-up recommended in the 2021 ESC/EACTS guidelines. DI and ELi were calculated, and valve area was measured by direct planimetry on transesophageal echocardiography. Results: A total of 101 patients (mean age 82 y; 57% male) were included. Discordance between EOA and gradients was observed in 46% and non-severe AS found in 24% despite an EOA < 1 cm2. Valve planimetry performed poorly, with an area under the ROC curve (AUC) of 0.64. At a cut-off value of >0.82 cm2, sensitivity and specificity to identify non-severe AS were 67 and 66%, respectively. DI and ELi showed a higher diagnostic accuracy, with an AUC of 0.77 and 0.76, respectively. Cut-off values of >0.24 and >0.6 cm2/m2 identified non-severe AS, with a high specificity of 79% and 91%, respectively. Conclusions: Almost one in four patients with EOA < 1 cm2 had non-severe AS according to guideline-recommended multiparametric assessment. Direct valve planimetry revealed poor diagnostic accuracy and should be interpreted with caution. Usual prognostic cut-off values for DI > 0.24 and ELI > 0.6 cm2/m2 identified non-severe AS with high specificity and should therefore be included in the assessment of low-gradient AS. Full article
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<p>Correlation and concordance between AVA measured by continuity equation and by direct planimetry.</p>
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<p>Direct valve planimetry: inter-observer agreement.</p>
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<p>Diagnostic accuracy of secondary parameters for severe aortic stenosis.</p>
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10 pages, 4475 KiB  
Article
Quantification of Aortic Valve Calcification in Contrast-Enhanced Computed Tomography
by Danai Laohachewin, Philipp Ruile, Philipp Breitbart, Jan Minners, Nikolaus Jander, Martin Soschynski, Christopher L. Schlett, Franz-Josef Neumann, Dirk Westermann and Manuel Hein
J. Clin. Med. 2024, 13(8), 2386; https://doi.org/10.3390/jcm13082386 - 19 Apr 2024
Viewed by 1282
Abstract
Background: The goal of our study is to evaluate a method to quantify aortic valve calcification (AVC) in contrast-enhanced computed tomography for patients with suspected severe aortic stenosis pre-interventionally. Methods: A total of sixty-five patients with aortic stenosis underwent both a [...] Read more.
Background: The goal of our study is to evaluate a method to quantify aortic valve calcification (AVC) in contrast-enhanced computed tomography for patients with suspected severe aortic stenosis pre-interventionally. Methods: A total of sixty-five patients with aortic stenosis underwent both a native and a contrast-enhanced computed tomography (CECT) scan of the aortic valve (45 in the training cohort and 20 in the validation cohort) using a standardized protocol. Aortic valve calcification was semi-automatically quantified via the Agatston score method for the native scans and was used as a reference. For contrast-enhanced computed tomography, a calcium threshold of the Hounsfield units of the aorta plus four times the standard deviation was used. Results: For the quantification of aortic valve calcification in contrast-enhanced computed tomography, a conversion formula (691 + 1.83 x AVCCECT) was derived via a linear regression model in the training cohort. The validation in the second cohort showed high agreement for this conversion formula with no significant proportional bias (Bland–Altman, p = 0.055) and with an intraclass correlation coefficient in the validation cohort of 0.915 (confidence interval 95% 0.786–0.966) p < 0.001. Conclusions: Calcium scoring in patients with aortic valve stenosis can be performed using contrast-enhanced computed tomography with high validity. Using a conversion factor led to an excellent agreement, thereby obviating an additional native computed tomography scan. This might contribute to a decrease in radiation exposure. Full article
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<p>Sample images of native computed tomography showing aortic calcification with the semi-automatic detection of aortic valve calcification with an attenuation threshold of ≥130 Hounsfield units. (<b>A</b>): A two-dimensional representation of the aortic valve in non-contrast computed tomography. (<b>B</b>): A semi-automatic quantification for the Agatston calculation; green = the semi-automatic selection of the aortic valve; pink = detections of calcification at a predetermined threshold of ≥130 Hounsfield units; red arrow = aortic valve; black arrow = calcified structures such as coronary arteries.</p>
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<p>Sample images of a contrast-enhanced computed tomography showing aortic calcification. (<b>A</b>) The dynamic threshold is determined by measuring the attenuation of the ascending aorta adding four times the standard deviation. (<b>B</b>) A visualization of calcification using the new threshold. (<b>C</b>) This new threshold is then used for the semi-automatic detection of aortic calcification. Red-bordered structures = semi-automatic quantifications of a calcified aortic valve.</p>
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<p>The correlation of aortic valve calcification quantification on contrast-enhanced computed tomography and the standard Agatston score on non-contrast-enhanced computed tomography with the line of best fit.</p>
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<p>The Bland–Altman plot comparing the standard Agatston score versus the calculated contrast-enhanced imaging-derived Agatston score for aortic valve calcium quantification (<span class="html-italic">p</span> = 0.055).</p>
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12 pages, 1827 KiB  
Article
Investigating Potential Correlations between Calcium Metabolism Biomarkers and Periprocedural Clinical Events in Major Cardiovascular Surgeries: An Exploratory Study
by Adrian Ștef, Constantin Bodolea, Ioana Corina Bocșan, Ștefan Cristian Vesa, Raluca Maria Pop, Simona Sorana Cainap, Alexandru Achim, Oana Antal, Nadina Tintiuc and Anca Dana Buzoianu
J. Clin. Med. 2024, 13(8), 2242; https://doi.org/10.3390/jcm13082242 - 12 Apr 2024
Cited by 1 | Viewed by 1213
Abstract
Background: There is emerging but conflicting evidence regarding the association between calcium biomarkers, more specifically ionized calcium and the prognosis of intensive care unit (ICU) postoperative cardiac patients. Methods: Our study investigated the relationship between ionized calcium, vitamin D, and periprocedural clinical [...] Read more.
Background: There is emerging but conflicting evidence regarding the association between calcium biomarkers, more specifically ionized calcium and the prognosis of intensive care unit (ICU) postoperative cardiac patients. Methods: Our study investigated the relationship between ionized calcium, vitamin D, and periprocedural clinical events such as cardiac, neurologic and renal complications, major bleeding, vasoactive–inotropic score (VIS), and length of ICU and hospitalization. Results: Our study included 83 consecutive subjects undergoing elective major cardiac surgery requiring cardiopulmonary bypass. The mean age of the participants was 64.9 ± 8.5 years. The majority of procedures comprised isolated CABG (N = 26, 31.3%), aortic valve procedures (N = 26, 31.3%), and mitral valve procedures (N = 12, 14.5%). A difference in calcium levels across all time points (p < 0.001) was observed, with preoperative calcium being directly associated with intraoperative VIS (r = 0.26, p = 0.016). On day 1, calcium levels were inversely associated with the duration of mechanical ventilation (r = −0.30, p = 0.007) and the length of hospital stay (r = −0.22, p = 0.049). At discharge, calcium was inversely associated with length of hospital stay (r = −0.22, p = 0.044). All calcium levels tended to be lower in those who died during the 1-year follow-up (p = 0.054). Preoperative vitamin D levels were significantly higher in those who experienced AKI during hospitalization (median 17.5, IQR 14.5–17.7, versus median 15.3, IQR 15.6–20.5, p = 0.048) Conclusion: Fluctuations in calcium levels and vitamin D may be associated with the clinical course of patients undergoing cardiac surgery. In our study, hypocalcemic patients exhibited a greater severity of illness, as evidenced by elevated VIS scores, and experienced prolonged mechanical ventilation time and hospital stays. Additional larger-scale studies are required to gain a deeper understanding of their impact on cardiac performance and the process of weaning from cardiopulmonary bypass, as well as to distinguish between causal and associative relationships. Full article
(This article belongs to the Section Cardiology)
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<p>Blood sampling timeline for the study.</p>
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<p>Trend in ionized calcium during the study period.</p>
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<p>Trend in ionized calcium during the study period, according to the occurrence of a certain outcome. (<b>Upper panel</b>) AKI (0 = absent, 1 = present). (<b>Lower panel</b>) Death (0 = absent, 1 = present).</p>
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<p>Spearman’s correlation coefficients for the associations of vitamin D and ionized calcium with continuous outcomes. Correlation matrix interpretation: each row-column pair represents a correlation of the two variables; positive correlations are displayed in red and negative correlations in blue color. Color intensity is proportional to the correlation coefficients: 0 = no correlation, −1 = perfect inverse correlation, 1 = perfect direct correlation.</p>
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<p>Significant correlations between ionized calcium and clinical outcomes.</p>
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21 pages, 795 KiB  
Review
Vascular Calcification: Molecular Networking, Pathological Implications and Translational Opportunities
by Miguel A. Ortega, Diego De Leon-Oliva, Maria José Gimeno-Longas, Diego Liviu Boaru, Oscar Fraile-Martinez, Cielo García-Montero, Amador Velazquez de Castro, Silvestra Barrena-Blázquez, Laura López-González, Silvia Amor, Natalio García-Honduvilla, Julia Buján, Luis G. Guijarro, Elisa Castillo-Ruiz, Miguel Ángel Álvarez-Mon, Agustin Albillos, Melchor Álvarez-Mon, Raul Diaz and Miguel A. Saez
Biomolecules 2024, 14(3), 275; https://doi.org/10.3390/biom14030275 - 25 Feb 2024
Cited by 2 | Viewed by 3196
Abstract
Calcification is a process of accumulation of calcium in tissues and deposition of calcium salts by the crystallization of PO43− and ionized calcium (Ca2+). It is a crucial process in the development of bones and teeth. However, pathological calcification [...] Read more.
Calcification is a process of accumulation of calcium in tissues and deposition of calcium salts by the crystallization of PO43− and ionized calcium (Ca2+). It is a crucial process in the development of bones and teeth. However, pathological calcification can occur in almost any soft tissue of the organism. The better studied is vascular calcification, where calcium salts can accumulate in the intima or medial layer or in aortic valves, and it is associated with higher mortality and cardiovascular events, including myocardial infarction, stroke, aortic and peripheral artery disease (PAD), and diabetes or chronic kidney disease (CKD), among others. The process involves an intricate interplay of different cellular components, endothelial cells (ECs), vascular smooth muscle cells (VSMCs), fibroblasts, and pericytes, concurrent with the activation of several signaling pathways, calcium, Wnt, BMP/Smad, and Notch, and the regulation by different molecular mediators, growth factors (GFs), osteogenic factors and matrix vesicles (MVs). In the present review, we aim to explore the cellular players, molecular pathways, biomarkers, and clinical treatment strategies associated with vascular calcification to provide a current and comprehensive overview of the topic. Full article
(This article belongs to the Special Issue Tissue Calcification in Normal and Pathological Environments)
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<p>Schematic representation of the main anatomical locations susceptible to the deposition of calcium salts: blood vessels, aortic valves, breast cancer, brain, tendons, or kidneys. In black appear the anatomical locations of calcium deposits and in red the related diseases. FIBGC: familial idiopathic basal ganglia calcification, AD: Alzheimer’s disease, CAVD: calcific aortic valve disease, MI: myocardial infarction, CKD: chronic kidney disease, PAD: peripheral artery disease.</p>
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15 pages, 5585 KiB  
Article
The Role of Apoptosis and Oxidative Stress in a Cell Spheroid Model of Calcific Aortic Valve Disease
by Colin W. Coutts, Ashley M. Baldwin, Mahvash Jebeli, Grace E. Jolin, Rozanne W. Mungai and Kristen L. Billiar
Cells 2024, 13(1), 45; https://doi.org/10.3390/cells13010045 - 25 Dec 2023
Cited by 2 | Viewed by 1976
Abstract
Calcific aortic valve disease (CAVD) is the most common heart valve disease among aging populations. There are two reported pathways of CAVD: osteogenic and dystrophic, the latter being more prevalent. Current two-dimensional (2D) in vitro CAVD models have shed light on the disease [...] Read more.
Calcific aortic valve disease (CAVD) is the most common heart valve disease among aging populations. There are two reported pathways of CAVD: osteogenic and dystrophic, the latter being more prevalent. Current two-dimensional (2D) in vitro CAVD models have shed light on the disease but lack three-dimensional (3D) cell–ECM interactions, and current 3D models require osteogenic media to induce calcification. The goal of this work is to develop a 3D dystrophic calcification model. We hypothesize that, as with 2D cell-based CAVD models, programmed cell death (apoptosis) is integral to calcification. We model the cell aggregation observed in CAVD by creating porcine valvular interstitial cell spheroids in agarose microwells. Upon culture in complete growth media (DMEM with serum), calcium nodules form in the spheroids within a few days. Inhibiting apoptosis with Z-VAD significantly reduced calcification, indicating that the calcification observed in this model is dystrophic rather than osteogenic. To determine the relative roles of oxidative stress and extracellular matrix (ECM) production in the induction of apoptosis and subsequent calcification, the media was supplemented with antioxidants with differing effects on ECM formation (ascorbic acid (AA), Trolox, or Methionine). All three antioxidants significantly reduced calcification as measured by Von Kossa staining, with the percentages of calcification per area of AA, Trolox, Methionine, and the non-antioxidant-treated control on day 7 equaling 0.17%, 2.5%, 6.0%, and 7.7%, respectively. As ZVAD and AA almost entirely inhibit calcification, apoptosis does not appear to be caused by a lack of diffusion of oxygen and metabolites within the small spheroids. Further, the observation that AA treatment reduces calcification significantly more than the other antioxidants indicates that the ECM stimulatory effect of AA plays a role inhibiting apoptosis and calcification in the spheroids. We conclude that, in this 3D in vitro model, both oxidative stress and ECM production play crucial roles in dystrophic calcification and may be viable therapeutic targets for preventing CAVD. Full article
(This article belongs to the Section Cells of the Cardiovascular System)
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<p>(<b>A</b>) Phase (10×) image of control day 2 porcine aortic VIC spheroids formed in non-adherent agarose mold. Each mold is seeded with one million VICs. The red circle indicates the outline of a single well in the mold, with the darker circles being formed spheroids. Scale bar = 100 μm. (<b>B</b>) Calcified Spheroid: Phase (20×) image of Von Kossa stain showing calcification on a day 4 porcine aortic VIC spheroid. The red arrow points to a calcific nodule, which became black once stained. Scale bar = 100 μm. (<b>C</b>) Change in spheroid size over the course of seven days in culture.</p>
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<p>Control spheroids (<b>top</b>) and ascorbic acid-supplemented spheroids (<b>bottom</b>) after four days in culture. Fluorescent (<b>right</b>) with live (green)/Dead (red) stain and 10× phase (<b>left</b>). Passage 7 porcine aortic VICs were used. Supplementation with 250 μm ascorbic acid almost completely inhibited cell death and prevented calcification. Scale bar = 100 μm.</p>
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<p>Z-VAD supplementation reduces apoptosis: Day 2 Control (<b>top</b>), Day 4 (<b>middle</b>), and Day 7 (<b>bottom</b>) spheroids 10× phase (<b>left</b>) and with caspase stain (<b>right</b>). Passage 9, day 4 porcine aortic VIC spheroids treated with 20µM caspase inhibitor Z-VAD for five days prior to creating the spheroids and for the duration of the experiment. Scale bar = 100 μm.</p>
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<p>Z-VAD supplementation inhibits calcification. Images (20×, transmitted light) of passage 9, day 4 (<b>top</b>), and day 7 (<b>bottom</b>) of porcine aortic VIC spheroids stained with Von Kossa. Control spheroids (<b>left</b>) show pronounced calcification as indicated by dark nodules. In contrast, spheroids treated with Z-VAD show only slight calcification (indicated with a red arrow). Scale bars = 100 μm.</p>
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<p>Calcium stain on antioxidant-supplemented spheroids on day 4: Images (20×) of passage 4 porcine aortic VIC spheroids on day 4 with Von Kossa staining for various antioxidant treatments. Scale bar = 100 μm.</p>
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<p>Calcium stain on antioxidant-supplemented spheroids on day 7: Phase image (20×) of passage 4 porcine aortic VIC spheroids on day 7 with Von Kossa staining for various antioxidant treatments. Scale bar = 100 μm.</p>
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<p>Quantification of results from antioxidant treatment: Percent of calcification per total area of spheroids treated with different antioxidants (AA 250 μm, Trolox 500 μm, Methionine 200 μm) on days 4 and 7. Asterixs (*) represent a significant difference from the same-day control group (no antioxidants), and double asterixs (**) represent a significant difference from the same-day AA-treated group (<span class="html-italic">p</span> &lt; 0.05; one-way ANOVA on ranks with Dunn’s test post hoc pairwise comparisons).</p>
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13 pages, 1644 KiB  
Article
Value of Post-/Pre-Procedural Aortic Regurgitation Ratio vs. Pre-Procedural Aortic Valve Calcium Score to Predict Moderate to Severe Paravalvular Leak Requiring Post-Dilation after Transcatheter Aortic Valve Implantation
by Roman Uebelacker, Simon S. Martin, Mariuca Vasa-Nicotera and Silvia Mas-Peiro
J. Clin. Med. 2023, 12(24), 7735; https://doi.org/10.3390/jcm12247735 - 17 Dec 2023
Cited by 1 | Viewed by 974
Abstract
Background and aim: Tools that assist interventionists in selecting patients for post-dilation (PD) are needed. We aimed to assess whether pre-interventional aortic valve calcium (AVC) or the peri-interventional aortic regurgitation (ARI) ratio is a better predictor for a more than mild paravalvular leak [...] Read more.
Background and aim: Tools that assist interventionists in selecting patients for post-dilation (PD) are needed. We aimed to assess whether pre-interventional aortic valve calcium (AVC) or the peri-interventional aortic regurgitation (ARI) ratio is a better predictor for a more than mild paravalvular leak (PVL) requiring PD after TAVI. Methods: Patients undergoing TAVI with available data on AVC derived from MSCTs and the ARI ratio derived from peri-interventional hemodynamic curves were studied. The main outcome was moderate-to-severe PVL requiring PD. Results: In 237 patients, more than mild PVL after valve deployment was present in 25.7%. PD was performed in 65 patients. The median (IQR) total AVC was 390.5 (211.5–665.4) mm3. All calcification values were significantly higher in patients who underwent PD. The median (IQR) individual threshold was 600 (550–685) Hus. The overall ARI ratio was 0.78 (0.61–0.96), with values being significantly lower in patients who underwent PD: 0.61 (0.49–0.80) vs. 0.82 (0.69–0.99) (p < 0.001). Both the ARI ratio (OR [95%CI] 0.053 [0.014–0.203]; p < 0.001) and AVC (1.01 [1.000–1.002]; p = 0.015) predicted PD need. ROC curves showed higher discrimination for the ARI ratio (AUC 0.73) than for any calcification parameter (all AUCs ≤ 0.62). Conclusions: The ARI ratio provides interventionists with a powerful predictive tool for PVL requiring PD after TAVI that is beyond the predictive value of pre-procedural valve calcification derived from MSCT. Full article
(This article belongs to the Special Issue Transcatheter Aortic Valve Replacement in 2021 and Beyond)
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<p>(<b>a</b>) MSCT measurements using the 3mensio program. From left to right: (<b>A</b>) measurement of the annulus, (<b>B</b>) angulation, (<b>C</b>) hockey puck showing a moderate degree of calcification, (<b>D</b>) height of right coronary artery, and (<b>E</b>) height of left coronary artery. (<b>b</b>) MSCT measurements using different HU thresholds. From left to right: (<b>A</b>) 500 HUs, (<b>B</b>) 600 HUs (individualized), and (<b>C</b>) 800 HUs.</p>
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<p>Hemodynamic measurements and calculation of the aortic regurgitation index ratio. Calculation of the AR index before TAVI: ([DBP − LVEDP]/SBP) × 100 = ([58 − 19]/138) × 100 = 28. The AR index before TAVI is 26. Calculation of the AR index post-initial TAVI: ([DBP − LVEDP]/SBP) × 100 = ([50 − 35]/148) × 100 = 10. The AR index post-initial TAVI is 12. Calculation of the post-initial TAVI/pre-procedural ARI ratio: AR index post TAVI/AR index pre TAVI = 10/28 = 0.36. AR: aortic regurgitation; DBP: diastolic blood pressure; LVEDP: left ventricular end-diastolic pressure; SBP: systolic blood pressure.</p>
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<p>Flowchart of the study population.</p>
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<p>Receiver operating curves for hemodynamic measures and calcification parameters. ARI: aortic regurgitation index; AUC: area under the curve; AVC: aortic valve calcification; LVOT: left ventricular outflow tract.</p>
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16 pages, 1912 KiB  
Article
Improved Reversion of Calcifications in Porcine Aortic Heart Valves Using Elastin-Targeted Nanoparticles
by Anja Feldmann, Yvonne Nitschke, Franziska Linß, Dennis Mulac, Sina Stücker, Jessica Bertrand, Insa Buers, Klaus Langer and Frank Rutsch
Int. J. Mol. Sci. 2023, 24(22), 16471; https://doi.org/10.3390/ijms242216471 - 17 Nov 2023
Viewed by 1692
Abstract
Calcified aortic valve disease in its final stage leads to aortic valve stenosis, limiting cardiac function. To date, surgical intervention is the only option for treating calcific aortic valve stenosis. This study combined controlled drug delivery by nanoparticles (NPs) and active targeting by [...] Read more.
Calcified aortic valve disease in its final stage leads to aortic valve stenosis, limiting cardiac function. To date, surgical intervention is the only option for treating calcific aortic valve stenosis. This study combined controlled drug delivery by nanoparticles (NPs) and active targeting by antibody conjugation. The chelating agent diethylenetriaminepentaacetic acid (DTPA) was covalently bound to human serum albumin (HSA)-based NP, and the NP surface was modified using conjugating antibodies (anti-elastin or isotype IgG control). Calcification was induced ex vivo in porcine aortic valves by preincubation in an osteogenic medium containing 2.5 mM sodium phosphate for five days. Valve calcifications mainly consisted of basic calcium phosphate crystals. Calcifications were effectively resolved by adding 1–5 mg DTPA/mL medium. Incubation with pure DTPA, however, was associated with a loss of cellular viability. Reversal of calcifications was also achieved with DTPA-coupled anti-elastin-targeted NPs containing 1 mg DTPA equivalent. The addition of these NPs to the conditioned media resulted in significant regression of the valve calcifications compared to that in the IgG-NP control without affecting cellular viability. These results represent a step further toward the development of targeted nanoparticular formulations to dissolve aortic valve calcifications. Full article
(This article belongs to the Section Molecular Nanoscience)
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<p>Induced calcification of porcine aortic valve leaflets. Leaflets were incubated in standard medium or osteogenic medium for indicated days. Leaflets incubated in standard medium did not calcify, whereas leaflets incubated in osteogenic medium presented an increase in calcification. (<b>A</b>). Calcium quantification, mean ± SD; <span class="html-italic">n</span> ≥ 3; ((<b>B</b>), upper two panels). Representative images of von Kossa staining of aortic valve leaflets visualizing calcified areas (brown). The ventricularis is presented on the right side of the images. As control, a native valve leaflet without culturing is shown (the middle panel represents a magnification of the upper panel, scale bars represent 100 µm; <span class="html-italic">n</span> ≥ 3 valve leaflets, <span class="html-italic">n</span> ≥ 3 sections per leaflet analyzed). ((<b>B</b>), lower panel). Leaflets were viable under standard culture conditions for the whole incubation period, while viability in valves cultured in osteogenic medium decreased. As control, normal viability of a native valve leaflet without culturing is shown (MTT (Methylthiazolyldiphenyl-tetrazolium bromide) staining, scale bars represent 100 µm; <span class="html-italic">n</span> ≥ 3 valve leaflets, <span class="html-italic">n</span> ≥ 3 sections per leaflet analyzed). ** <span class="html-italic">p</span> ≤ 0.01; *** <span class="html-italic">p</span> ≤ 0.001.</p>
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<p>Representative Raman mapping of calcified aortic valves cultured in osteogenic medium for 10 days. (<b>A</b>). Complementary von Kossa image of this section displaying calcified deposits with selected ROI (black square) (upper left panel, scale bar: 200 µm). (<b>B</b>). Representative overview image of this section as unstained, methanol-fixed, and air-dried aortic valve with selected ROI (green square) (upper middle panel). Representative Raman spectrum of the indicated ROI displaying the characteristic peak for BCP at 960 cm<sup>−1</sup> (lower panel, <span class="html-italic">Y</span>-axis shows the intensity of the scattered light (arbitrary units)). Representative heat map of BCP calcification after normalization and integration at 960 cm<sup>−1</sup>, showing the distribution of BCP crystals in the tissue (as determined by the integrated area under the curve at 945–975 cm<sup>−1</sup>, right panel). <span class="html-italic">n</span> = 2 valve leaflets, 4 sections per valve, 3–5 analyzed locations each.</p>
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<p>Visualization of targeting of PromoFluor 633P-labeled NPs at porcine aortic valve leaflets. Aortic valve leaflets were pre-cultured for five days under standard or osteogenic conditions prior to four hours of incubation with NP. (<b>A</b>). NP conjugated with anti-elastin antibody (HSA-NP-(PF633)-AntiElastinPig) connected to the calcified aortic valve leaflets (osteogenic medium) and were able to infiltrate the valve, while noncalcified valves (standard medium) were not targeted. Control NPs conjugated with IgG (HSA-NP-(PF633)-IgG) could not be detected at the calcified aortic valve leaflets (<span class="html-italic">n</span> ≥ 3 valve leaflets, <span class="html-italic">n</span> ≥ 3 sections per leaflet analyzed). (<b>B</b>). NPs conjugated with anti-elastin antibody (HSA-NP-(PF633)-AntiElastinPig) targeted to elastin-rich areas in the aortic valve. Nanoparticles: pink, autofluorescence: green, elastin: red. Scale bar: 50 µm (<span class="html-italic">n</span> ≥ 3 valve leaflets, <span class="html-italic">n</span> ≥ 3 sections per leaflet analyzed).</p>
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<p>Reversion of induced calcification in porcine aortic valve leaflets using NPs. Leaflets were pre-incubated in osteogenic medium for five days to induce calcification prior to administration of 1 mg/mL DTPA, the equivalent of DTPA bound to DTPA(HSA-NP)AntiElastinPig or DTPA(HSA-NP)IgG as control for two days. (<b>A</b>). Quantification of calcium showing reduced calcium content in leaflets incubated with pure DTPA, DTPA(HSA-NP)AntiElastinPig, and DTPA(HSA-NP)IgG compared to control only cultured in osteogenic medium. Mean ± SD; <span class="html-italic">n</span> ≥ 3; ((<b>B</b>), upper two panels). Representative images of von Kossa staining of aortic valve leaflets visualizing calcified areas (brown) in leaflets incubated in osteogenic medium, while no calcification was found in leaflets treated with pure DTPA, DTPA(HSA-NP)AntiElastinPig, and DTPA(HSA-NP)IgG (middle panel represents magnification of upper panel, scale bars represent 100 µm; <span class="html-italic">n</span> ≥ 3 valve leaflets, <span class="html-italic">n</span> ≥ 3 sections per leaflet analyzed). ((<b>B</b>), lower panel). Approximately half of the cells were viable in leaflets cultured under osteogenic culture conditions. No viability was detectable in leaflets incubated with pure DTPA, whereas leaflets administered with nanoparticle formulations showed viability comparable to leaflets incubated under standard conditions (<a href="#ijms-24-16471-f001" class="html-fig">Figure 1</a>) (scale bars represent 100 µm; <span class="html-italic">n</span> ≥ 3 valve leaflets, <span class="html-italic">n</span> ≥ 3 sections per leaflet analyzed). * <span class="html-italic">p</span> ≤ 0.05; *** <span class="html-italic">p</span> ≤ 0.001; ns: not significant.</p>
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21 pages, 3502 KiB  
Review
Aortic Valve Calcium Score by Computed Tomography as an Adjunct to Echocardiographic Assessment—A Review of Clinical Utility and Applications
by Isabel G. Scalia, Juan M. Farina, Ratnasari Padang, Clinton E. Jokerst, Milagros Pereyra, Ahmed K. Mahmoud, Tasneem Z. Naqvi, Chieh-Ju Chao, Jae K. Oh, Reza Arsanjani and Chadi Ayoub
J. Imaging 2023, 9(11), 250; https://doi.org/10.3390/jimaging9110250 - 15 Nov 2023
Cited by 1 | Viewed by 4256
Abstract
Aortic valve stenosis (AS) is increasing in prevalence due to the aging population, and severe AS is associated with significant morbidity and mortality. Echocardiography remains the mainstay for the initial detection and diagnosis of AS, as well as for grading of severity. However, [...] Read more.
Aortic valve stenosis (AS) is increasing in prevalence due to the aging population, and severe AS is associated with significant morbidity and mortality. Echocardiography remains the mainstay for the initial detection and diagnosis of AS, as well as for grading of severity. However, there are important subgroups of patients, for example, patients with low-flow low-gradient or paradoxical low-gradient AS, where quantification of severity of AS is challenging by echocardiography and underestimation of severity may delay appropriate management and impart a worse prognosis. Aortic valve calcium score by computed tomography has emerged as a useful clinical diagnostic test that is complimentary to echocardiography, particularly in cases where there may be conflicting data or clinical uncertainty about the degree of AS. In these situations, aortic valve calcium scoring may help re-stratify grading of severity and, therefore, further direct clinical management. This review presents the evolution of aortic valve calcium score by computed tomography, its diagnostic and prognostic value, as well as its utility in clinical care. Full article
(This article belongs to the Section Medical Imaging)
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<p>Stylized progression of aortic stenosis in a three-cusp aortic valve with listed areas representing cross-section of aortic valve opening (<b>top panel</b>). The bottom left image demonstrates the most common two morphologies in AS, bicuspid valve and three cusp AV with calcific degeneration, and the bottom right panel depicts secondary left ventricular hypertrophy due to severe aortic stenosis (<b>bottom panel</b>).</p>
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<p>A 69-year-old male with bicuspid aortic valve and shortness of breath on exertion only at high elevations. He had discordant echocardiographic parameters for severity of aortic stenosis, with a clinical echocardiogram report noting overall moderate–severe aortic valve stenosis: systolic mean Doppler gradient (MG) 37 mmHg (<b>A</b>), aortic valve area (AVA) by Doppler 1.06 cm<sup>2</sup> (<b>B</b>), dimensionless index 0.23, and normal indexed stroke volume (58 mL/m<sup>2</sup>). He proceeded to have an aortic valve calcium score (AVCS) by cardiac computed tomography ((<b>C</b>), red arrow) which demonstrated a score of 4568 AU, reclassifying aortic valve stenosis as severe. This scan also demonstrated calcification in the left anterior descending coronary artery ((<b>D</b>), yellow arrow).</p>
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<p>Flow-chart of classification of aortic stenosis (AS) grading based on echocardiographic measurements. Figure has been based off published work with permission from [<a href="#B24-jimaging-09-00250" class="html-bibr">24</a>]. Copyright 2017 Elsevier. Abbreviations; Aortic stenosis (AS); aortic valve area (AVA); mean gradient across aortic valve (MG); peak velocity across aortic valve (PAV); left ventricular (LV); left ventricular ejection fraction (LVEF); dobutamine stress echocardiography (DSE); stroke volume index (SVi); computed tomography (CT).</p>
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<p>A 62-year-old asymptomatic female sent for coronary artery calcium (CAC) score for risk stratification for statin therapy. The CAC score was 0, but significant aortic valve calcification was identified (<b>A</b>). AVCS was quantified as 660 AU. She was also incidentally noted to have mid ascending aorta dilation with diameter of 45 mm (<b>B</b>). Subsequent echocardiogram for further evaluation confirmed a bicuspid aortic valve with raphe between the left and non-coronary cusp, demonstrated by arrow (<b>C</b>), and overall moderate aortic stenosis with mean gradient (MG) of 22 mmHg and peak aortic velocity (PAV) of 3 m/s (<b>D</b>).</p>
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12 pages, 1670 KiB  
Article
Aortic Valve Replacement: Understanding Predictors for the Optimal Ministernotomy Approach
by Francesco Giosuè Irace, Ilaria Chirichilli, Marco Russo, Federico Ranocchi, Marcello Bergonzini, Antonio Lio, Francesca Nicolò and Francesco Musumeci
J. Clin. Med. 2023, 12(21), 6717; https://doi.org/10.3390/jcm12216717 - 24 Oct 2023
Cited by 1 | Viewed by 1206
Abstract
Introduction. The most common minimally invasive approach for aortic valve replacement (AVR) is the partial upper mini-sternotomy. The aim of this study is to understand which preoperative computed tomography (CT) features are predictive of longer operations in terms of cardio-pulmonary bypass timesand cross-clamp [...] Read more.
Introduction. The most common minimally invasive approach for aortic valve replacement (AVR) is the partial upper mini-sternotomy. The aim of this study is to understand which preoperative computed tomography (CT) features are predictive of longer operations in terms of cardio-pulmonary bypass timesand cross-clamp times. Methods. From 2011 to 2022, we retrospectively selected 246 patients which underwent isolated AVR and had a preoperative ECG-gated CT scan. On these patients, we analysed the baseline anthropometric characteristics and the following CT scan parameters: aortic annular dimensions, valve calcium score, ascending aorta length, ascending aorta inclination and aorta–sternum distance. Results. We identified augmented body surface area (>1.9 m2), augmented annular diameter (>23 mm), high calcium score (>2500 Agatson score) and increased aorta–sternum distance (>30 mm) as independent predictors of elongated operation times (more than two-fold). Conclusions. Identifying the preoperative predictive factors of longer operations can help surgeons select cases suitable for minimally invasive approaches, especially in a teaching context. Full article
(This article belongs to the Special Issue Clinical Research on Aortic Valve Replacement)
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<p>Flow chart showing the retrospective patient selection.</p>
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<p>Example of the CT scan parameters assessed: (<b>1</b>) annular dimensions; (<b>2</b>) calcium score; (<b>3</b> and <b>4</b>) aortic annulus inclination angle; (<b>5</b>) ascending aorta length; (<b>6</b>) sternum/STJ distance.</p>
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<p>Schematic representation of J-ministernotomy at the 4th intercostal space using a 3D CT reconstruction.</p>
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<p>Diagrams showing the distributions of CPB and X-clamp times and the selection of patients are above the 75th percentile (red shadow).</p>
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<p>ROC curves for the continuous parameters associated with longer operative times (BSA, annulus diameter, calcium score, sternum/STJ distance); these ROC curves were used to choose the best cut-off points.</p>
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14 pages, 12547 KiB  
Article
Liraglutide Attenuates Aortic Valve Calcification in a High-Cholesterol-Diet-Induced Experimental Calcific Aortic Valve Disease Model in Apolipoprotein E-Deficient Mice
by Yangzhao Zhou, Zhaoshun Yuan, Min Wang, Zhiyuan Zhang, Changming Tan, Jiaolian Yu, Yanfeng Bi, Xiaobo Liao, Xinmin Zhou, Md Sayed Ali Sheikh and Dafeng Yang
J. Cardiovasc. Dev. Dis. 2023, 10(9), 386; https://doi.org/10.3390/jcdd10090386 - 6 Sep 2023
Cited by 3 | Viewed by 1988
Abstract
Background: Calcific aortic valve disease (CAVD) is a significant cause of morbidity and mortality among elderly people. However, no effective medications have been approved to slow or prevent the progression of CAVD. Here, we examined the effect of liraglutide on aortic valve stenosis. [...] Read more.
Background: Calcific aortic valve disease (CAVD) is a significant cause of morbidity and mortality among elderly people. However, no effective medications have been approved to slow or prevent the progression of CAVD. Here, we examined the effect of liraglutide on aortic valve stenosis. Methods: Male Apoe−/− mice were fed with a high-cholesterol diet for 24 weeks to generate an experimental CAVD model and randomly assigned to a liraglutide treatment group or control group. Echocardiography and immunohistological analyses were performed to examine the aortic valve function and morphology, fibrosis, and calcium deposition. Plasma Glucagon-like peptide-1 (GLP-1) levels and inflammatory contents were measured via ELISA, FACS, and immunofluorescence. RNA sequencing (RNA-seq) was used to identify liraglutide-affected pathways and processes. Results: Plasma GLP-1 levels were reduced in the CAVD model, and liraglutide treatment significantly improved aortic valve calcification and functions and attenuated inflammation. RNA-seq showed that liraglutide affects multiple myofibroblastic and osteogenic differentiations or inflammation-associated biological states or processes in the aortic valve. Those liraglutide-mediated beneficial effects were associated with increased GLP-1 receptor (GLP-1R) expression. Conclusions: Liraglutide blocks aortic valve calcification and may serve as a potential therapeutic drug for CAVD treatment. Full article
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<p>Liraglutide treatment blocks aortic valve calcification in vivo. (<b>A</b>) Plasma GLP-1 levels in C57BL/6 mice fed with normal chow diet and HCD-fed <span class="html-italic">Apoe<sup>−/−</sup></span> mice treatment with saline or liraglutide for 24 weeks (<span class="html-italic">n</span> = 6–11 mice per group). Echocardiographic data in saline- or liraglutide-treated <span class="html-italic">Apoe<sup>−/−</sup></span> mice or age-matched C57BL/6 mice fed with normal chow diet (<span class="html-italic">n</span> = 6–11 mice per group). (<b>B</b>) Peak transvalvular jet velocity, and (<b>C</b>) mean transvalvular pressure gradient. (<b>D</b>) Hematoxylin and eosin staining of aortic valve leaflets from saline- or liraglutide-treated <span class="html-italic">Apoe<sup>−/−</sup></span> mice or age-matched C57BL/6 mice fed with normal chow diet (<span class="html-italic">n</span> = 6–8 mice per group). Scale: 200 μm. (<b>E</b>) Masson’s trichrome staining of aortic valve leaflets from saline- or liraglutide-treated <span class="html-italic">Apoe<sup>−/−</sup></span> mice or age-matched C57BL/6 mice fed with normal chow diet. Black arrow indicates collagen deposition area (<span class="html-italic">n</span> = 6–8 mice per group). Scale: 200 μm. (<b>F</b>) Von Kossa staining of aortic valve leaflets from saline- or liraglutide-treated <span class="html-italic">Apoe<sup>−/−</sup></span> mice. Black arrow indicates calcification deposition area (<span class="html-italic">n</span> = 6–8 mice per group). Scale: 200 μm. (<b>G</b>) Alizarin Red staining of aortic valve leaflets from saline- or liraglutide-treated <span class="html-italic">Apoe<sup>−/−</sup></span> mice. Black arrow indicates calcification deposition area (<span class="html-italic">n</span> = 6–8 mice per group). Scale: 100 μm. Data shown are mean ± SEM. * <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>Liraglutide treatment reduces osteogenic differentiation gene expression in aortic valves of <span class="html-italic">Apoe<sup>−/−</sup></span> mice. (<b>A</b>) Representative images and quantification show Runx2 staining in aortic valve of saline- or liraglutide-treated <span class="html-italic">Apoe<sup>−/−</sup></span> mice. Black arrow indicates Runx2-positive area in aortic valves (<span class="html-italic">n</span> = 6–8 mice per group). Scale: 100 μm. (<b>B</b>) Representative images and quantification show osteocalcin staining in aortic valve of saline- or liraglutide-treated <span class="html-italic">Apoe<sup>−/−</sup></span> mice. Black arrow indicates osteocalcin-positive area in aortic valves (<span class="html-italic">n</span> = 6–8 mice per group). Scale: 100 μm. (<b>C</b>) Representative images and quantification show Sox9 staining in aortic valve of saline- or liraglutide-treated <span class="html-italic">Apoe<sup>−/−</sup></span> mice. Black arrow indicates Sox9-positive area in aortic valves (<span class="html-italic">n</span> = 6–8 mice per group). Scale: 100 μm. Data shown are mean ± SEM. * <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>Downstream consequence of liraglutide treatment on aortic valves in HCD-induced experimental CAVD in <span class="html-italic">Apoe<sup>−/−</sup></span> mice. (<b>A</b>) RNA-seq profiling of aortic valves from saline- or liraglutide-treated <span class="html-italic">Apoe<sup>−/−</sup></span> mice. Volcano plot displaying significantly dysregulated genes (<span class="html-italic">p</span> Value &lt; 0.05; log<sub>2</sub> fold change &gt; 1.5) (<span class="html-italic">n</span> = 3 mice per group). (<b>B</b>) GSEA of the top 15 significantly affected processes and (<b>C</b>) enrichment plot for the TNF signaling via NFKB of (<b>A</b>) after liraglutide treatment. Representative images and quantification show p65 accumulation in nuclear (<b>D</b>), VCAM−1 expression (<b>E</b>) in aortic valves from saline- or liraglutide-treated <span class="html-italic">Apoe<sup>−/−</sup></span> mice (<span class="html-italic">n</span> = 6–8 mice per group). Frozen sections of aortic sinus were stained for anti-p65 or VCAM-1 (green), anti-CD31 (red), and DAPI (blue). The dashed-line area indicates aortic valves. Arrows indicates accumulated p65 in nuclear. Scale: 50 μm. Enlarged scale 25 μm. (<b>F</b>) Representative images and quantification show Mac3-positive area in aortic valve from saline- or liraglutide-treated <span class="html-italic">Apoe<sup>−/−</sup></span> mice (<span class="html-italic">n</span> = 6–8 mice per group). Black arrow indicates Mac3-positive area in aortic valves. Scale: 100 μm. (<b>G</b>) Representative images and quantification show NOTCH1 expression in aortic valves from saline- or liraglutide-treated <span class="html-italic">Apoe<sup>−/−</sup></span> mice (<span class="html-italic">n</span> = 6–8 mice per group). Frozen sections of aortic sinus were stained for NOTCH1 (green), anti-CD31 (red), and DAPI (blue). The dashed-line area indicates aortic valves. Scale: 50 μm. Data shown are mean ± SEM. * <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>Liraglutide treatment inhibits inflammation in HCD-induced experimental CAVD model in <span class="html-italic">Apoe<sup>−/−</sup></span> mice. (<b>A</b>) Real-time qPCR analysis of TNF−α, IL−1β, and IL−6 in PBMCs from saline- or liraglutide-treated <span class="html-italic">Apoe<sup>−/−</sup></span> mice (<span class="html-italic">n</span> = 9–11 mice per group). The expression of genes was normalized to mouse β-actin. (<b>B</b>) ELISA analysis of TNF−α, IL−6, and IL−4 plasma from aortic valve of saline- or liraglutide-treated <span class="html-italic">Apoe<sup>−/−</sup></span> mice (<span class="html-italic">n</span> = 9–11 mice per group). (<b>C</b>) FACS analysis of splenic Ly6c<sup>high</sup> and Ly6c<sup>low</sup> monocytes form saline- or liraglutide-treated <span class="html-italic">Apoe<sup>−/−</sup></span> mice (<span class="html-italic">n</span> = 9–11 mice per group). (<b>D</b>) FACS analysis of splenic CD4-positive and CD8-positive T cells from saline- or liraglutide-treated <span class="html-italic">Apoe<sup>−/−</sup></span> mice (<span class="html-italic">n</span> = 9–11 mice per group). Data shown are mean ± SEM. * <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>Liraglutide treatment increases GLP-1R expression in HCD-induced experimental CAVD model in <span class="html-italic">Apoe<sup>−/−</sup></span> mice. (<b>A</b>) Representative images and quantification show GLP-1R expression in aortic valves from saline- or liraglutide-treated <span class="html-italic">Apoe<sup>−/−</sup></span> mice or age-matched C57BL/6 mice fed with normal chow diet (<span class="html-italic">n</span> = 6–8 mice per group). Frozen sections of aortic sinus were stained for anti-GLP-1R, (red), anti-vimentin (green), and DAPI (blue). The dashed-line area indicates aortic valves. Scale: 50 μm. (<b>B</b>) Real-time qPCR analysis of GLP-1R expression in PBMCs from saline- or liraglutide-treated <span class="html-italic">Apoe<sup>−/−</sup></span> mice (<span class="html-italic">n</span> = 9–11 mice per group). The expression of genes was normalized to mouse β-actin. Data shown are mean ± SEM. * <span class="html-italic">p</span> &lt; 0.05.</p>
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16 pages, 2648 KiB  
Article
Apoptotic Cell Death in Bicuspid-Aortic-Valve-Associated Aortopathy
by Sarah J. Barnard, Josephina Haunschild, Linda Heiser, Maja T. Dieterlen, Kristin Klaeske, Michael A. Borger and Christian D. Etz
Int. J. Mol. Sci. 2023, 24(8), 7429; https://doi.org/10.3390/ijms24087429 - 18 Apr 2023
Viewed by 2057
Abstract
The bicuspid aortic valve (BAV) is the most common cardiovascular congenital abnormality and is frequently associated with proximal aortopathy. We analyzed the tissues of patients with bicuspid and tricuspid aortic valve (TAV) regarding the protein expression of the receptor for advanced glycation products [...] Read more.
The bicuspid aortic valve (BAV) is the most common cardiovascular congenital abnormality and is frequently associated with proximal aortopathy. We analyzed the tissues of patients with bicuspid and tricuspid aortic valve (TAV) regarding the protein expression of the receptor for advanced glycation products (RAGE) and its ligands, the advanced glycation end products (AGE), as well as the S100 calcium-binding protein A6 (S100A6). Since S100A6 overexpression attenuates cardiomyocyte apoptosis, we investigated the diverse pathways of apoptosis and autophagic cell death in the human ascending aortic specimen of 57 and 49 patients with BAV and TAV morphology, respectively, to identify differences and explanations for the higher risk of patients with BAV for severe cardiovascular diseases. We found significantly increased levels of RAGE, AGE and S100A6 in the aortic tissue of bicuspid patients which may promote apoptosis via the upregulation of caspase-3 activity. Although increased caspase-3 activity was not detected in BAV patients, increased protein expression of the 48 kDa fragment of vimentin was detected. mTOR as a downstream protein of Akt was significantly higher in patients with BAV, whereas Bcl-2 was increased in patients with TAV, assuming a better protection against apoptosis. The autophagy-related proteins p62 and ERK1/2 were increased in patients with BAV, assuming that cells in bicuspid tissue are more likely to undergo apoptotic cell death leading to changes in the wall and finally to aortopathies. We provide first-hand evidence of increased apoptotic cell death in the aortic tissue of BAV patients which may thus provide an explanation for the increased risk of structural aortic wall deficiency possibly underlying aortic aneurysm formation or acute dissection. Full article
(This article belongs to the Section Molecular Pathology, Diagnostics, and Therapeutics)
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Figure 1

Figure 1
<p>Statistical analysis of protein expression levels of RAGE and its ligands AGE and S100A6 in whole-tissue lysates of patients with BAV and TAV from the convex (V) and concave (K) regions of the aorta. (<b>A</b>) Relative RAGE protein expression via Western blot analysis in the tissue of patients with BAV (<span class="html-italic">n</span> = 69) and TAV (<span class="html-italic">n</span> = 59) and separated by regions BAV V (<span class="html-italic">n</span> = 33), BAV K (<span class="html-italic">n</span> = 36), TAV V (<span class="html-italic">n</span> = 30) and TAV K (<span class="html-italic">n</span> = 29). GAPDH served as the loading control. (<b>B</b>) Relative AGE protein expression via Western blot analysis in the tissue of patients with BAV (<span class="html-italic">n</span> = 69) and TAV (<span class="html-italic">n</span> = 59) and separated by regions BAV V (<span class="html-italic">n</span> = 33), BAV K (<span class="html-italic">n</span> = 36), TAV V (<span class="html-italic">n</span> = 30) and TAV K (<span class="html-italic">n</span> = 29). GAPDH served as the loading control. (<b>C</b>) Quantification of S100A6 protein expression using ELISA in the tissue of patients with BAV (<span class="html-italic">n</span> = 57) and TAV (<span class="html-italic">n</span> = 89) and separated by regions BAV V (<span class="html-italic">n</span> = 29), BAV K (<span class="html-italic">n</span> = 28), TAV V (<span class="html-italic">n</span> = 42) and TAV K (<span class="html-italic">n</span> = 47). <span class="html-italic">p</span> values of Student’s <span class="html-italic">t</span>-test: * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.0001.</p>
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<p>Statistical analysis of the protein expression levels of the pro-apoptotic proteins caspase-3, vimentin and α-smooth muscle actin in whole-tissue lysates of patients with BAV and TAV from the convex (V) and concave (K) regions of the aorta. (<b>A</b>) Ratio of protein expression of cleaved active caspase-3 and mature inactive caspase-3 via Western blot analysis in the tissue of patients with BAV (<span class="html-italic">n</span> = 97) and TAV (<span class="html-italic">n</span> = 87) and separated by regions BAV V (<span class="html-italic">n</span> = 50), BAV K (<span class="html-italic">n</span> = 47), TAV V (<span class="html-italic">n</span> = 42) and TAV K (<span class="html-italic">n</span> = 45). α-tubulin served as the loading control. (<b>B</b>) Relative vimentin protein expression (57 kDa/48 kDa) via Western blot analysis in the tissue of patients with BAV (<span class="html-italic">n</span> = 99/<span class="html-italic">n</span> = 96) and TAV (<span class="html-italic">n</span> = 94/<span class="html-italic">n</span> = 93) and 48 kDa vimentin protein expression separated by regions BAV V (<span class="html-italic">n</span> = 48), BAV K (<span class="html-italic">n</span> = 48), TAV V (<span class="html-italic">n</span> = 46) and TAV K (<span class="html-italic">n</span> = 47). GAPDH served as the loading control. (<b>C</b>) Relative α-smooth muscle actin protein expression via Western blot analysis in the tissue of patients with BAV (<span class="html-italic">n</span> = 104) and TAV (<span class="html-italic">n</span> = 86) and separated by regions BAV V (<span class="html-italic">n</span> = 52), BAV K (<span class="html-italic">n</span> = 52), TAV V (<span class="html-italic">n</span> = 44) and TAV K (<span class="html-italic">n</span> = 42). GAPDH served as the loading control. <span class="html-italic">p</span> values of Student’s <span class="html-italic">t</span>-test: * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.0001.</p>
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<p>Statistical analysis of protein expression levels of the anti-apoptotic proteins Bcl-2, Akt and mTOR in whole-tissue lysates of patients with BAV and TAV from the convex (V) and concave (K) regions of the aorta. (<b>A</b>) Relative Bcl-2 protein expression via Western blot analysis in the tissue of patients with BAV (<span class="html-italic">n</span> = 98) and TAV (<span class="html-italic">n</span> = 85) and separated by regions BAV V (<span class="html-italic">n</span> = 50), BAV K (<span class="html-italic">n</span> = 48), TAV V (<span class="html-italic">n</span> = 43) and TAV K (<span class="html-italic">n</span> = 42). α-tubulin served as the loading control. (<b>B</b>) Relative Akt protein expression via Western blot analysis in the tissue of patients with BAV (<span class="html-italic">n</span> = 103) and TAV (<span class="html-italic">n</span> = 84) and separated by regions BAV V (<span class="html-italic">n</span> = 53), BAV K (<span class="html-italic">n</span> = 50), TAV V (<span class="html-italic">n</span> = 43) and TAV K (<span class="html-italic">n</span> = 41). GAPDH served as the loading control. (<b>C</b>) Relative mTOR protein expression via Western blot analysis in the tissue of patients with BAV (<span class="html-italic">n</span> = 94) and TAV (<span class="html-italic">n</span> = 95) and separated by regions BAV V (<span class="html-italic">n</span> = 49), BAV K (<span class="html-italic">n</span> = 45), TAV V (<span class="html-italic">n</span> = 50) and TAV K (<span class="html-italic">n</span> = 45). GAPDH served as the loading control. <span class="html-italic">p</span> values of Student’s <span class="html-italic">t</span>-test: * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01.</p>
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<p>Statistical analysis of protein expression levels of LC3, p62 and ERK1/2 in whole-tissue lysates of patients with BAV and TAV from the convex (V) and concave (K) regions of the aorta. (<b>A</b>) Ratio of LC3II/LC3-I protein expression via Western blot analysis in the tissue of patients with BAV (<span class="html-italic">n</span> = 56) and TAV (<span class="html-italic">n</span> = 67) and separated by regions BAV V (<span class="html-italic">n</span> = 27), BAV K (<span class="html-italic">n</span> = 29), TAV V (<span class="html-italic">n</span> = 34) and TAV K (<span class="html-italic">n</span> = 32). α-tubulin served as the loading control. (<b>B</b>) Relative p62 protein expression via Western blot analysis in the tissue of patients with BAV (<span class="html-italic">n</span> = 193) and TAV (<span class="html-italic">n</span> = 94) and separated by regions BAV V (<span class="html-italic">n</span> = 49), BAV K (<span class="html-italic">n</span> = 44), TAV V (<span class="html-italic">n</span> = 49) and TAV K (<span class="html-italic">n</span> = 46). GAPDH served as the loading control. (<b>C</b>) Relative ERK1/2 protein expression via Western blot analysis in the tissue of patients with BAV (<span class="html-italic">n</span> = 93) and TAV (<span class="html-italic">n</span> = 99) and separated by regions BAV V (<span class="html-italic">n</span> = 50), BAV K (<span class="html-italic">n</span> = 43), TAV V (<span class="html-italic">n</span> = 52) and TAV K (<span class="html-italic">n</span> = 47). GAPDH served as the loading control. <span class="html-italic">p</span> values of Student’s <span class="html-italic">t</span>-test: ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.0001.</p>
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<p>Excised aortic specimen. (<b>A</b>) Convexity (V) and concavity (K) region in total. (<b>B</b>) Convexity (V) and concavity (K) region after preparation.</p>
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