Twiddler syndrome mimicking an abdominal aortic aneurysm.
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ABSTRACT:
SUBMITTER: Wevers KP
PROVIDER: S-EPMC4651966 | biostudies-literature | 2015 Dec
REPOSITORIES: biostudies-literature
Publications
Twiddler syndrome mimicking an abdominal aortic aneurysm.
Wevers K P KP Kleijn L L van der Burg A E Borger AE van Andringa de Kempenaer M G MG
Netherlands heart journal : monthly journal of the Netherlands Society of Cardiology and the Netherlands Heart Foundation 20151201 12
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Project description:Abdominal aortic aneurysm (AAA) is a multifactorial disease with a strong genetic component. Since the first candidate gene studies were published 20 years ago, approximately 100 genetic association studies using single nucleotide polymorphisms (SNPs) in biologically relevant genes have been reported on AAA. These studies investigated SNPs in genes of the extracellular matrix, the cardiovascular system, the immune system, and signaling pathways. Very few studies were large enough to draw firm conclusions and very few results could be replicated in another sample set. The more recent unbiased approaches are family-based DNA linkage studies and genome-wide genetic association studies, which have the potential of identifying the genetic basis for AAA, only when appropriately powered and well-characterized large AAA cohorts are used. SNPs associated with AAA have already been identified in these large multicenter studies. One significant association was of a variant in a gene called contactin-3, which is located on chromosome 3p12.3. However, two follow-up studies could not replicate this association. Two other SNPs, which are located on chromosome 9p21 and 9q33, were replicated in other samples. The two genes with the strongest supporting evidence of contribution to the genetic risk for AAA are the CDKN2BAS gene, also known as ANRIL, which encodes an antisense ribonucleic acid that regulates expression of the cyclin-dependent kinase inhibitors CDKN2A and CDKN2B, and DAB2IP, which encodes an inhibitor of cell growth and survival. Functional studies are now needed to establish the mechanisms by which these genes contribute toward AAA pathogenesis.
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Project description:BackgroundThis systematic review aimed to investigate the current state of risk prediction for abdominal aortic aneurysm in the literature, identifying and comparing published models and describing their performance and applicability to a population-based targeted screening strategy.MethodsElectronic databases MEDLINE (via Ovid), Embase (via Ovid), MedRxiv, Web of Science, and the Cochrane Library were searched for papers reporting or validating risk prediction models for abdominal aortic aneurysm. Studies were included only if they were developed on a cohort or study group derived from the general population and used multiple variables with at least one modifiable risk factor. Risk of bias was assessed using the Prediction model Risk Of Bias ASsessment Tool. A synthesis and comparison of the identified models was undertaken.ResultsThe search identified 4813 articles. After full-text review, 37 prediction models were identified, of which 4 were unique predictive models that were reported in full. Applicability was poor when considering targeted screening strategies using electronic health record-based populations. Common risk factors used for the predictive models were explored across all 37 models; the most common risk factors in predictive models for abdominal aortic aneurysm were: age, sex, biometrics (such as height, weight, or BMI), smoking, hypertension, hypercholesterolaemia, and history of heart disease. Few models had undergone standardized model development, adequate external validation, or impact evaluation.ConclusionThis study identified four risk models that can be replicated and used to predict abdominal aortic aneurysm with acceptable levels of discrimination. None of the models have been validated externally.
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Project description:Abstract: The pathogenesis of AAA involves vascular inflammation and oxidative stress. Astragali Radix contains cycloastragenol (CAG) known to have anti-inflammatory and anti-oxidative properties. We hypothesized that CAG supplement impairs AAA progression. AAA was induced in male rats by intraluminal elastase infusion in the infrarenal aorta and treated daily with CAG (125 mg/kg/day). Aortic expansion was followed weekly by ultrasound, with euthanization at day 28. Changes in AAA wall composition were analyzed at mRNA levels, histology, zymography and explorative proteomic analyses. At day 28, mean AAA diameter was 37% lower in CAG group (p<0.0001). In aneurysm cross sections, elastin content was insignificantly higher in CAG group (10.5% ± 5.9% vs 19.9% ± 16.8%, p=0.20) with more preserved elastin lamellae structures (p=0.0003) and with no microcalcifications. Aneurysmal matrix metalloprotease-2 activity was reduced by CAG treatment (p=0.022), and mRNA levels of inflammatory- and antioxidative markers showed no difference between groups. Explorative proteomic analysis showed no difference in protein levels when adjustment for multiple testing. Amongst unadjusted affected proteins were fibulin-5 (p=0.02), aquaporin-1 (p=0.02) and prostacyclin synthase (p=0.006). CAG impairs experimental AAA progression by reduction of elastin degradation through decreased MMP-2 activity, thus CAG could be considered tested in AAA patients.
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2007-07-26 | GSE7084 | GEO
Project description:Abdominal aortic aneurysm (AAA) is characterized by structural deterioration of the aortic wall, leading to aortic dilation and rupture. The aim was to compare 183 low molecular weight metabolites in AAA patients and aorta-healthy controls and to explore if low molecular weight metabolites are linked to AAA growth. Blood samples were collected from male AAA patients with fast (mean 3.3 mm/year; range 1.3-9.4 mm/year; n = 39) and slow growth (0.2 mm/year; range -2.6-1.1 mm/year; n = 40), and from controls with non-aneurysmal aortas (n = 79). Targeted analysis of 183 metabolites in plasma was performed with AbsoluteIDQ p180 kit. The samples were measured on a QTRAP 4500 coupled to an Agilent 1260 series HPLC. The levels of only four amino acids (histidine, asparagine, leucine, isoleucine) and four phosphatidylcholines (PC.ae.C34.3, PC.aa.C34.2, PC.ae.C38.0, lysoPC.a.C18.2) were found to be significantly lower (p < 0.05) after adjustment for confounders among the AAA patients compared with the controls. There were no differences in the metabolites distinguishing the AAA patients with slow or fast growth from the controls, or distinguishing the patients with slow growth from those with fast growth. The current study describes novel significant alterations in amino acids and phosphatidylcholines metabolism associated with AAA occurrence, but no associations were found with AAA growth rate.
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