BACKGROUND: Bicuspid aortic valves (BAV) are frequently associated with ascending aortic aneurysms. The etiology is incompletely understood, but genetic factors, in addition to flow perturbations, are likely involved. Since loss of contractility and elaboration of extracellular matrix in the vessel wall are features of BAV-associated aortopathy, phenotypic modulation of smooth muscle cells (SMCs) may play a role.
METHODS: Ascending aortic tissue was collected intra-operatively from 25 individuals with normal (i.e., tricuspid) aortic valves (TAV) and from 25 individuals with BAVs. For both TAV and BAV, 10 patients had non-dilated (ND) and 15 patients had dilated (D) aortas. SMCs were isolated and cultured from a subset of patients from each group. Aortic tissue and SMCs were fluorescently immunolabeled for SMC phenotypic markers (i.e., alpha-smooth muscle actin (ASMA, contractile), vimentin (synthetic) and p16INK4a and p21Cip1 (senescence). SMCs were also analyzed for replicative senescence in culture.
RESULTS: In normal-sized and dilated BAV aortas, SMCs switched from the contractile state to either synthetic or senescent phenotypes, as observed by loss of ASMA (ND: P = 0.001, D: P = 0.002) and associated increases in vimentin (ND: P = 0.03, D: P = 0.004) or p16/p21 (ND: P = 0.03, D: P<0.0001) compared to TAV. Dilatation of the aorta exacerbated SMC phenotypic switching in both BAV and TAV aortas (all P<0.05). In SMCs cultured from normal and dilated aortas, those isolated from BAV reached replicative senescence faster than those from TAV aortas (all P = 0.02). Furthermore, there was a stark inverse correlation between ASMA and cell passage number in BAV SMCs (ND: P = 0.0006, D: P = 0.01), but not in TAV SMCs (ND: P = 0.93, D: P = 0.20).
CONCLUSIONS: The findings of this study provide direct evidence from cell culture studies implying that SMCs switch from the contractile state to either synthetic or senescent phenotypes in the non-dilated BAV aorta. In cultured SMCs from both non-dilated and dilated aortas, we found that this process may precede dilatation and accompany aneurysm development in BAV. Our findings suggest that therapeutically targeting SMC phenotypic modulation in BAV patients may be a viable option to prevent or delay ascending aortic aneurysm formation.

Aortic aneurysm (AA) refers to the persistent dilatation of the aorta, exceeding three centimeters. Investigating the pathophysiology of this condition is important for its prevention and management, given its responsibility for more than 25000 deaths in the United States. AAs are classified based on their location or morphology. various pathophysiologic pathways including inflammation, the immune system and atherosclerosis have been implicated in its development. Inflammatory markers such as transforming growth factor β, interleukin-1β, tumor necrosis factor-α, matrix metalloproteinase-2 and many more may contribute to this phenomenon. Several genetic disorders such as Marfan syndrome, Ehler-Danlos syndrome and Loeys-Dietz syndrome have also been associated with this disease. Recent years has seen the investigation of novel management of AA, exploring the implication of different immune suppressors, the role of radiation in shrinkage and prevention, as well as minimally invasive and newly hypothesized surgical methods. In this narrative review, we aim to present the new contributing factors involved in pathophysiology of AA. We also highlighted the novel management methods that have demonstrated promising benefits in clinical outcomes of the AA.

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OBJECTIVE: This study aimed to develop a patient-centred approach to the burden of acute type A aortic dissection (ATAAD) through modelling. The main objective was to identify potential improvements in managing this life-threatening cardiovascular condition and to provide evidence-based recommendations to optimise outcomes.
METHODS: We developed a predictive model along patient pathways to estimate the burden of ATAAD through the years of life lost (YLLs) metric. The model was created based on a systematic review of the literature and was parameterised using demographic data from the German healthcare environment. The model was designed to allow interactive simulation of different scenarios resulting from changes in key impact factors.
METHODS: The study was conducted using data from the German healthcare environment and results from the literature review.
METHODS: The study included a comprehensive modelling of ATAAD cases in Germany but did not directly involve participants.
METHODS: There were no specific interventions applied in this study based on the modelling design.
METHODS: The single outcome measure was the estimation of YLL due to ATAAD in Germany.
RESULTS: Our model estimated 102 791 YLL per year for ATAAD in Germany, with 62 432 and 40 359 YLL for men and women, respectively. Modelling an improved care setting yielded 93 191 YLL or 9.3% less YLL compared with the current standard while a worst-case scenario resulted in 113 023 or 10.0% more YLL. The model is accessible at https://acuteaorticdissection.com/ to estimate custom scenarios.
CONCLUSIONS: Our study provides an evidence-based approach to estimating the burden of ATAAD and identifying potential improvements in the management of pathways. This approach can be used by healthcare decision-makers to inform policy changes aimed at optimising patient outcomes. By considering patient-centred approaches in any healthcare environment, the model has the potential to improve efficient care for patients suffering from ATAAD.

Aortic aneurysms, life-threatening and often undetected until they cause sudden death, occur when the aorta dilates beyond 1.5 times its normal size. This study used ultrasound scans and micro-computed tomography to monitor and measure aortic volume in preclinical settings, comparing it to the well-established measurement using ultrasound scans. The reproducibility of measurements was also examined for intra- and inter-observer variability, with both modalities used on 8-week-old C57BL6 mice. For inter-observer variability, the μCT (micro-computed tomography) measurements for the thoracic, abdominal, and whole aorta between observers were highly consistent, showing a strong positive correlation (R2 = 0.80, 0.80, 0.95, respectively) and no significant variability (p-value: 0.03, 0.03, 0.004, respectively). The intra-observer variability for thoracic, abdominal, and whole aorta scans demonstrated a significant positive correlation (R2 = 0.99, 0.96, 0.87, respectively) and low variability (p-values = 0.0004, 0.002, 0.01, respectively). The comparison between μCT and USS (ultrasound) in the suprarenal and infrarenal aorta showed no significant difference (p-value = 0.20 and 0.21, respectively). μCT provided significantly higher aortic volume measurements compared to USS. The reproducibility of USS and μCT measurements was consistent, showing minimal variance among observers. These findings suggest that μCT is a reliable alternative for comprehensive aortic phenotyping, consistent with clinical findings in human data.

BACKGROUND: Acute type A aortic dissection is a dangerous disease that threatens public health. In recent years, with the progress of medical technology, the mortality rate of patients after surgery has been gradually reduced, leading that previous prediction models may not be suitable for nowadays. Therefore, the present study aims to find new independent risk factors for predicting in-hospital mortality and construct a nomogram prediction model.
METHODS: The clinical data of 341 consecutive patients in our center from 2019 to 2023 were collected, and they were divided into two groups according to the death during hospitalization. The independent risk factors were analyzed by univariate and multivariate logistic regression, and the nomogram was constructed and verified based on these factors.
RESULTS: age, preoperative lower limb ischemia, preoperative activated partial thromboplastin time (APTT), preoperative platelet count, Cardiopulmonary bypass (CPB) time and postoperative acute kidney injury (AKI) independently predicted in-hospital mortality of patients with acute type A aortic dissection after surgery. The area under the receiver operating characteristic curve (AUC) for the nomogram was 0.844. The calibration curve and decision curve analysis verified that the model had good quality.
CONCLUSIONS: The new nomogram model has a good ability to predict the in-hospital mortality of patients with acute type A aortic dissection after surgery.

This case report revolves around a 73-year-old male patient who initially sought medical attention due to left lower extremity weakness. Suspicions of a potential vascular etiology arose during the initial clinical examination, prompting further investigation. Unexpectedly, computed tomography (CT) imaging of the abdomen and pelvis revealed the presence of three giant aneurysms. Concurrently, positive syphilis titers were identified. The patient\'s presentation, marked by focal neurological deficits, unveiled the incidental discovery of a triad of aneurysms involving the distal abdominal aorta, right common iliac, and left common iliac. The neurological symptoms observed in the patient were attributed to the compression within the left common iliac artery, leading to compromised blood flow to the lower extremity. Alternatively, the neurological deficits could be linked to neurosyphilis or a combination of both factors. This case underscores the critical role of considering syphilis in patients presenting with neurological symptoms. The unique discovery of extensive aortic abnormalities through imaging studies, specifically CT angiography, emphasized the importance of such diagnostic tools in unraveling complex and potentially life-threatening vascular pathologies. Recognizing the diverse manifestations of syphilis in patients with vast neurological symptoms is crucial for timely diagnosis and multidisciplinary management. This case emphasizes the need to keep a high index of suspicion for syphilis in individuals who have widespread aortic anomalies together with neurological symptoms, to sum up. The triad of aneurysms discovered incidentally in this 73-year-old patient underscores the intricate interplay between vascular and neurological manifestations. The timely diagnosis and multidisciplinary management of both the neurological and vascular aspects of this unique presentation are essential for ensuring optimal patient outcomes.

BACKGROUND: Aneurysms of the pulmonary arteries and the ascending aorta are rare, and both bear a high mortality risk if left untreated. In general, these entities are primarily caused by etiologies such as hypertension, pulmonary arterial hypertension, infection or congenital disorders. Treatment requires a rapid diagnostic work-up or even immediate surgical intervention in acute cases. Nevertheless, surgery entails serious perioperative risks, in particular in patients with multiple comorbidities.
METHODS: We discuss a 70-year-old woman presented with decompensated heart failure based on severe pulmonary artery hypertension, coincided by a massive pulmonary artery aneurysm with secondary embolism. Additional diagnostic imaging also showed a chronic post-dissection, saccular aneurysm of the ascending aorta. To our knowledge, this simultaneous diagnosis of a saccular aneurysm of the ascending aorta and a large aneurysm of the pulmonary artery with secondary embolism has not yet been described. Nonetheless, conservative treatment was chosen due to extensive pulmonal and cardiovascular comorbidities and the high-risk profile of surgery.
CONCLUSIONS: Extensive aneurysmatic disease of the pulmonary arteries and ascending aorta come with a serious burden of disease, especially if coincided by severe pulmonal and cardiovascular comorbidities. Both conditions can be curatively treated by surgical intervention. However, in every case the risk of surgery and the patient\'s vitality, comorbidities and wishes should be taken into account to formulate an adequate treatment plan. Therefore, shared decision making is of utter importance.

The extracellular matrix is a complex network of proteins and other molecules that are essential for the support, integrity, and structure of cells and tissues within the human body. The genes ZNF469 and PRDM5 each produce extracellular-matrix-related proteins that, when mutated, have been shown to result in the development of brittle cornea syndrome. This dysfunction results from aberrant protein function resulting in extracellular matrix disruption. Our group recently identified and published the first known associations between variants in these genes and aortic/arterial aneurysms and dissection diseases. This paper delineates the proposed effects of mutated ZNF469 and PRDM5 on various essential extracellular matrix components, including various collagens, TGF-B, clusterin, thrombospondin, and HAPLN-1, and reviews our recent reports associating single-nucleotide variants to these genes\' development of aneurysmal and dissection diseases.

Aortic aneurysm and dissection (AAD) are severe vascular diseases with high mortality rates. However, the causal relationship between serum uric acid levels and the occurrence of AAD remains a subject of controversy. To address this issue, we conducted a two-sample Mendelian randomization (MR) analysis to investigate whether there is a causal association between these factors. We obtained single-nucleotide polymorphisms (SNPs) data related to serum uric acid levels from the FinnGen study and data on AAD from the UK Biobank. Various two-sample MR methods, including inverse variance weighted (IVW) analysis, MR-Egger regression analysis, weighted median analysis, and contamination mixture method, were employed to assess the causal relationship between serum uric acid and the risk of AAD. Sensitivity analysis was conducted to evaluate the stability and reliability of the results. The findings revealed a positive association between serum uric acid levels and the risk of aortic aneurysm (AA) (odds ratio [OR] = 1.200, 95 % confidence interval [CI]: 1.020-1.400, P = 0.0239). However, no significant correlation was observed between serum uric acid levels and the occurrence of aortic dissection (AD) (OR = 0.893, 95 % CI = 0.602-1.326, P = 0.576). Our study, which employed MR analysis, identified a positive association between serum uric acid levels and the risk of AA. However, we did not observe a significant correlation with AD.